1
|
Xin Z, Xu H, Zhang X, Samelson EJ, Kiel DP, Liu CT. Association of bone fracture with 30-year body mass index (BMI) trajectories: findings from the Framingham Heart Study : Bone fracture and 30-year BMI trajectories. Osteoporos Int 2024:10.1007/s00198-024-07068-7. [PMID: 38587675 DOI: 10.1007/s00198-024-07068-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 03/14/2024] [Indexed: 04/09/2024]
Abstract
A knowledge gap exists in associating later life's osteoporotic fracture and middle adulthood's BMI trajectories. We observed an association showing those transitioning from overweight to normal weight face a higher fracture risk in late adulthood, emphasizing the potential benefits of maintaining a stable BMI to reduce late-life fractures. PURPOSE Numerous studies on the relationship between obesity and fractures have relied on body mass index (BMI) at a single time point, yielding inconclusive results. This study investigated the association of BMI trajectories over middle adulthood with fracture risk in late adulthood. METHODS This prospective cohort study analyzed 1772 qualified participants from the Framingham Original Cohort Study, with 292 (16.5%) incident fractures during an average of 17.1-year follow-up. We constructed BMI trajectories of age 35-64 years based on latent class mixed modeling and explored their association with the risk of fracture after 65 years using the Cox regression. RESULTS The result showed that compared to the BMI trajectory Group 4 (normal to slightly overweight; see "Methods" for detailed description), Group 1 (overweight declined to normal weight) had a higher all-fracture risk after age 65 (hazard ratio [HR], 2.22, 95% CI, 1.13-4.39). The secondary analysis focusing on lower extremity fractures (pelvis, hip, leg, and foot) showed a similar association pattern. CONCLUSIONS This study suggested that people whose BMI slightly increased from normal weight to low-level overweight during 30 years of middle adulthood confer a significantly lower risk of fracture in later life than those whose BMI declined from overweight to normal weight. This result implies the potentially beneficial effects of avoiding weight loss to normal weight during middle adulthood for overweight persons, with reduced fracture risk in late life.
Collapse
Affiliation(s)
- Zihao Xin
- Department of Biostatistics, Boston University School of Public Health, 801 Massachusetts Ave, Third Floor, Boston, MA, 02118, USA
| | - Hanfei Xu
- Department of Biostatistics, Boston University School of Public Health, 801 Massachusetts Ave, Third Floor, Boston, MA, 02118, USA
| | - Xiaoyu Zhang
- Department of Biostatistics, Boston University School of Public Health, 801 Massachusetts Ave, Third Floor, Boston, MA, 02118, USA
| | - Elizabeth J Samelson
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Douglas P Kiel
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Ching-Ti Liu
- Department of Biostatistics, Boston University School of Public Health, 801 Massachusetts Ave, Third Floor, Boston, MA, 02118, USA.
| |
Collapse
|
2
|
Farsijani S, Cauley JA, Cawthon PM, Langsetmo L, Orwoll ES, Kado DM, Kiel DP, Newman AB. Associations Between Walking Speed and Gut Microbiome Composition in Older Men From the MrOS Study. J Gerontol A Biol Sci Med Sci 2024; 79:glae030. [PMID: 38271209 PMCID: PMC10924448 DOI: 10.1093/gerona/glae030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Indexed: 01/27/2024] Open
Abstract
BACKGROUND Gut dysbiosis has been linked to frailty, but its association with early mobility decline is unclear. METHODS First, we determined the cross-sectional associations between walking speed and the gut microbiome in 740 older men (84 ± 4 years) from the MrOS cohort with available stool samples and 400 m walking speed measured in 2014-2016. Then, we analyzed the retrospective longitudinal associations between changes in 6 m walking speed (from 2005-2006 to 2014-2016, calculated by simple linear equation) and gut microbiome composition among participants with available data (702/740). We determined gut microbiome composition by 16S sequencing and examined diversity, taxa abundance, and performed network analysis to identify differences in the gut microbiome network of fast versus slow walkers. RESULTS Faster 400 m walking speed (m/s) was associated with greater microbiome α-diversity (R = 0.11; p = .004). The association between a slower decline in 6 m walking speed and higher α-diversity (R = 0.07; p = .054) approached borderline significance. Faster walking speed and less decline in walking speed were associated with a higher abundance of genus-level bacteria that produce short-chain fatty acids, and possess anti-inflammatory properties, including Paraprevotella, Fusicatenibacter, and Alistipes, after adjusting for potential covariates (p < .05). The gut microbiome networks of participants in the first versus last quartile of walking speed (≤0.9 vs ≥1.2 m/s) exhibited distinct characteristics, including different centrality measures (p < .05). CONCLUSIONS Our findings suggest a possible relationship between gut microbiome diversity and mobility function, as indicated by the associations between faster walking speed and less decline in walking speed over 10 years with higher gut microbiome diversity in older men.
Collapse
Affiliation(s)
- Samaneh Farsijani
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Center for Aging and Population Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Jane A Cauley
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Center for Aging and Population Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Peggy M Cawthon
- California Pacific Medical Center Research Institute, University of California San Francisco, San Francisco, California, USA
| | - Lisa Langsetmo
- Center for Care Delivery and Outcomes Research, VA Health Care System, Minneapolis, Minnesota, USA
- Department of Medicine, University of Minnesota, Minneapolis, Minnesota, USA
| | - Eric S Orwoll
- Division of Endocrinology, Diabetes and Clinical Nutrition, School of Medicine, Oregon Health & Science University, Portland, Oregon, USA
| | - Deborah M Kado
- Department of Medicine, Stanford University, Palo Alto, California, USA
- Geriatric Research Education and Clinical Center (GRECC), VA Health Care System, Palo Alto, California, USA
| | - Douglas P Kiel
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew Senior Life, Boston, Massachusetts, USA
- Department of Medicine, Hebrew Senior Life, Beth Israel Deaconess Medical Center & Harvard Medical School, Boston, Massachusetts, USA
| | - Anne B Newman
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Center for Aging and Population Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| |
Collapse
|
3
|
Szulc P, Dufour AB, Hannan MT, Kiel DP, Chapurlat R, Sornay-Rendu E, Merle B, Boyd SK, Whittier DE, Hanley DA, Goltzman D, Wong AKO, Lespessailles E, Khosla S, Ferrari S, Biver E, Bouxsein ML, Samelson EJ. Fracture risk based on HR-pQCT measures does not vary with age in older adults - the bone microarchitecture international consortium (BoMIC) prospective cohort study. J Bone Miner Res 2024:zjae033. [PMID: 38477737 DOI: 10.1093/jbmr/zjae033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 01/25/2024] [Indexed: 03/14/2024]
Abstract
Fracture risk increases with lower areal BMD (aBMD); however, aBMD-related estimate of risk may decrease with age. This may depend on technical limitations of 2-dimensional (2D) DXA which are reduced with 3D high-resolution peripheral quantitative computed tomography (HR-pQCT). Our aim was to examine whether the predictive utility of HR-pQCT measures with fracture varies with age. We analyzed associations of HR-pQCT measures at the distal radius and distal tibia with two outcomes: incident fractures and major osteoporotic fractures. We censored follow-up time at first fracture, death, last contact or 8 years after baseline. We estimated hazard ratios (HR) and 95%CI for the association between bone traits and fracture incidence across age quintiles. Among 6835 men and women (ages 40-96) with at least one valid baseline HR-pQCT scan who were followed prospectively for a median of 48.3 months, 681 sustained fractures. After adjustment for confounders, bone parameters at both the radius and tibia were associated with higher fracture risk. The estimated HRs for fracture did not vary significantly across age quintiles for any HR-pQCT parameter measured at either the radius or tibia. In this large cohort, the homogeneity of the associations between the HR-pQCT measures and fracture risk across age groups persisted for all fractures and for major osteoporotic fractures. The patterns were similar regardless of the HR-pQCT measure, the type of fracture, or the statistical models. The stability of the associations between HR-pQCT measures and fracture over a broad age range shows that bone deficits or low volumetric density remain major determinants of fracture risk regardless of age group. The lower risk for fractures across measures of aBMD in older adults in other studies may be related to factors which interfere with DXA but not with HR-pQCT measures.
Collapse
Affiliation(s)
- Pawel Szulc
- INSERM UMR1033, University of Lyon, Hôpital Edouard Herriot, Lyon, France
| | - Alyssa B Dufour
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, and Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
| | - Marian T Hannan
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, and Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
| | - Douglas P Kiel
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, and Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
| | - Roland Chapurlat
- INSERM UMR1033, University of Lyon, Hôpital Edouard Herriot, Lyon, France
| | | | - Blandine Merle
- INSERM UMR1033, University of Lyon, Hôpital Edouard Herriot, Lyon, France
| | - Steven K Boyd
- McCaig Institute for Bone and Joint Health, University of Calgary, Calgary AB, Canada
| | - Danielle E Whittier
- McCaig Institute for Bone and Joint Health, University of Calgary, Calgary AB, Canada
| | - David A Hanley
- McCaig Institute for Bone and Joint Health, University of Calgary, Calgary AB, Canada
| | - David Goltzman
- Departments of Medicine, McGill University and McGill University Health Centre, Montreal, Quebec, Canada
| | - Andy Kin On Wong
- Joint Department of Medical Imaging, University Health Network; and Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Eric Lespessailles
- Department of Rheumatology and PRIMMO, University Hospital of Orléans, Orléans, France
| | - Sundeep Khosla
- Division of Endocrinology and Kogod Center on Aging, Mayo Clinic, Rochester, MN, United States
| | - Serge Ferrari
- Division of Bone Diseases, Geneva University Hospitals and Faculty of Medicine, University of Geneva
| | - Emmanuel Biver
- Division of Bone Diseases, Geneva University Hospitals and Faculty of Medicine, University of Geneva
| | - Mary L Bouxsein
- Dept of Orthopedic Surgery, Harvard Medical School, Center for Advanced Orthopedic Studies, BIDMC, Boston, MA, United States
| | - Elizabeth J Samelson
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, and Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
| |
Collapse
|
4
|
Berry SD, Hayes K, Lee Y, Zhang Y, Kim DH, Ko D, Kiel DP, Daielo L, Zhang T, Zullo AR. Fall risk and cardiovascular outcomes of first-line antihypertensive medications in nursing home residents. J Am Geriatr Soc 2024; 72:682-692. [PMID: 38051600 PMCID: PMC10947930 DOI: 10.1111/jgs.18702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 10/19/2023] [Accepted: 10/29/2023] [Indexed: 12/07/2023]
Abstract
BACKGROUND Little evidence exists about the comparative effects of first-line antihypertensive medications (i.e., renin-angiotensin-aldosterone converting enzyme inhibitors (RAASi), amlodipine, or thiazide diuretics) in older adults with limited life expectancy. We compared the rates of injurious falls and short-term cardiovascular events between different first-line antihypertensive medication classes in adults receiving care in nursing homes (NH). METHODS This was a retrospective cohort of Medicare fee-for-service beneficiaries receiving care in NHs. Patients newly dispensed first-line antihypertensive medications were identified using Part D claims (2015-2018) and linked with clinical assessments (i.e., Minimum Data Set). Fall-related injuries (FRI), hip fractures, and major adverse cardiac events (MACE) outcomes were identified using hospitalization claims. Patients were followed from the date of antihypertensive dispensing until the occurrence of outcomes, death, disenrollment, or 6-month follow-up. Inverse-probability-of-treatment-weighted (IPTW) cause-specific hazards regression models were used to compare outcomes between patients who were new users of RAASi, amlodipine, or thiazides. RESULTS Our cohort included 16,504 antihypertensive users (RAASi, n = 9574; amlodipine, n = 5049; thiazide, n = 1881). Mean age was 83.5 years (± 8.2), 70.6% were female, and 17.2% were non-white race. During a mean follow-up of 5.3 months, 326 patients (2.0%) experienced an injurious fall, 1590 (9.6%) experienced MACE, and 2123 patients (12.9%) died. The intention-to-treat IPTW hazard ratio (HR) for injurious falls for amlodipine (vs RAASi) use was 0.85 (95% confidence interval (CI) 0.66-1.08) and for thiazides (vs RAASi) was 1.22 (95% CI 0.88-1.66). The rates of MACE were similar between those taking anti-hypertensive medications. Thiazides were discontinued more often than other classes; however, inferences were largely unchanged in as-treated analyses. Subgroup analyses were generally consistent. CONCLUSIONS Older adults with limited life expectancy experience similar rates of injurious falls and short-term cardiovascular events after initiating any of the first-line antihypertensive medications.
Collapse
Affiliation(s)
- Sarah D. Berry
- Hebrew Senior Life, Hinda and Arthur Marcus Institute for Aging Research and Department of Medicine, Roslindale, Massachusetts
- Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts
| | - Kaleen Hayes
- Department of Health Services, Policy, and Practice & Center for Gerontology, Brown University School of Public Health, Providence, Rhode Island
| | - Yoojin Lee
- Department of Health Services, Policy, and Practice & Center for Gerontology, Brown University School of Public Health, Providence, Rhode Island
| | - Yuan Zhang
- Department of Health Services, Policy, and Practice & Center for Gerontology, Brown University School of Public Health, Providence, Rhode Island
| | - Dae H. Kim
- Hebrew Senior Life, Hinda and Arthur Marcus Institute for Aging Research and Department of Medicine, Roslindale, Massachusetts
- Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts
| | - Darae Ko
- Hebrew Senior Life, Hinda and Arthur Marcus Institute for Aging Research and Department of Medicine, Roslindale, Massachusetts
- Section of Cardiovascular Medicine, Boston Medical Center and Boston University School of Medicine, Boston, Massachusetts
| | - Douglas P. Kiel
- Hebrew Senior Life, Hinda and Arthur Marcus Institute for Aging Research and Department of Medicine, Roslindale, Massachusetts
- Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts
| | - Lori Daielo
- Department of Health Services, Policy, and Practice & Center for Gerontology, Brown University School of Public Health, Providence, Rhode Island
| | - Tingting Zhang
- Department of Health Services, Policy, and Practice & Center for Gerontology, Brown University School of Public Health, Providence, Rhode Island
| | - Andrew R. Zullo
- Department of Health Services, Policy, and Practice & Center for Gerontology, Brown University School of Public Health, Providence, Rhode Island
- Department of Epidemiology, Brown University School of Public Health, Providence, Rhode Island
| |
Collapse
|
5
|
Kirk B, Cawthon PM, Arai H, Ávila-Funes JA, Barazzoni R, Bhasin S, Binder EF, Bruyere O, Cederholm T, Chen LK, Cooper C, Duque G, Fielding RA, Guralnik J, Kiel DP, Landi F, Reginster JY, Sayer AA, Visser M, von Haehling S, Woo J, Cruz-Jentoft AJ. The Conceptual Definition of Sarcopenia: Delphi Consensus from the Global Leadership Initiative in Sarcopenia (GLIS). Age Ageing 2024; 53:afae052. [PMID: 38520141 PMCID: PMC10960072 DOI: 10.1093/ageing/afae052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Indexed: 03/25/2024] Open
Abstract
IMPORTANCE Sarcopenia, the age-related loss of muscle mass and strength/function, is an important clinical condition. However, no international consensus on the definition exists. OBJECTIVE The Global Leadership Initiative in Sarcopenia (GLIS) aimed to address this by establishing the global conceptual definition of sarcopenia. DESIGN The GLIS steering committee was formed in 2019-21 with representatives from all relevant scientific societies worldwide. During this time, the steering committee developed a set of statements on the topic and invited members from these societies to participate in a two-phase International Delphi Study. Between 2022 and 2023, participants ranked their agreement with a set of statements using an online survey tool (SurveyMonkey). Statements were categorised based on predefined thresholds: strong agreement (>80%), moderate agreement (70-80%) and low agreement (<70%). Statements with strong agreement were accepted, statements with low agreement were rejected and those with moderate agreement were reintroduced until consensus was reached. RESULTS 107 participants (mean age: 54 ± 12 years [1 missing age], 64% men) from 29 countries across 7 continents/regions completed the Delphi survey. Twenty statements were found to have a strong agreement. These included; 6 statements on 'general aspects of sarcopenia' (strongest agreement: the prevalence of sarcopenia increases with age (98.3%)), 3 statements on 'components of sarcopenia' (muscle mass (89.4%), muscle strength (93.1%) and muscle-specific strength (80.8%) should all be a part of the conceptual definition of sarcopenia)) and 11 statements on 'outcomes of sarcopenia' (strongest agreement: sarcopenia increases the risk of impaired physical performance (97.9%)). A key finding of the Delphi survey was that muscle mass, muscle strength and muscle-specific strength were all accepted as 'components of sarcopenia', whereas impaired physical performance was accepted as an 'outcome' rather than a 'component' of sarcopenia. CONCLUSION AND RELEVANCE The GLIS has created the first global conceptual definition of sarcopenia, which will now serve to develop an operational definition for clinical and research settings.
Collapse
Affiliation(s)
- Ben Kirk
- Department of Medicine, Western Health, Melbourne Medical School, University of Melbourne, Melbourne, VIC, Australia
- Australian Institute for Musculoskeletal Science (AIMSS), University of Melbourne and Western Health, Melbourne, VIC, Australia
| | - Peggy M Cawthon
- California Pacific Medical Center, Research Institute, 550 16th Street, Second Floor, San Francisco, CA 94143USA
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CAUSA
| | - Hidenori Arai
- National Center for Geriatrics and Gerontology, Obu, AichiJapan
| | - José A Ávila-Funes
- Department of Geriatrics, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
- Bordeaux Population Health Research Center, UMR 1219, University of Bordeaux, Inserm, Bordeaux F-33000, France
| | - Rocco Barazzoni
- Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste, Italy
| | - Shalender Bhasin
- Boston Claude D. Pepper Older Americans Independence Center, Brigham and Women’s Hospital, Harvard Medical School, Boston, MAUSA
| | - Ellen F Binder
- Division of General Medicine and Geriatrics, School of Medicine, Washington University in St. Louis, St. Louis MO, USA
| | - Olivier Bruyere
- WHO Collaborating Center for Public Health Aspects of Musculo-Skeletal Health and Ageing, Division of Public Health, Epidemiology and Health Economics, University of Liège, Liège, Belgium
- Department of Sport and Rehabilitation Sciences, University of Liège, Liège, Belgium
| | - Tommy Cederholm
- Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Uppsala, Sweden
- Theme Inflammation and Ageing, Karolinska University Hospital, Stockholm, Sweden
| | - Liang-Kung Chen
- Center for Geriatrics and Gerontology, Taipei Veterans General Hospital, Taipei, Taiwan
- Center for Healthy Longevity and Aging Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- Department of Epidemiology, University of Oxford, Oxford, OXUK
| | - Gustavo Duque
- Bone, Muscle & Geroscience Group, Research Institute of the McGill University Health Centre, Montreal, QC, Canada
- Dr Joseph Kaufmann Chair in Geriatric Medicine, Department of Medicine, McGill University, Montreal, QC, Canada
| | - Roger A Fielding
- Nutrition Exercise, Physiology, and Sarcopenia Laboratory, Jean Mayer U.S. Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, MAUSA
| | - Jack Guralnik
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MDUSA
| | - Douglas P Kiel
- Department of Medicine Beth Israel Deaconess Medical Center and Harvard Medical School, Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MAUSA
| | - Francesco Landi
- Fondazione Policlinico Universitario “Agostino Gemelli” IRCCS, Rome 00168, Italy
| | - Jean-Yves Reginster
- WHO Collaborating Center for Epidemiology of Musculoskeletal Health and Aging, Liège, Belgium
- Chair for Biomarkers of Chronic Diseases, College of Science, King Saud University, Riyadh, Kingdom of Saudi Arabia
| | - Avan A Sayer
- AGE Research Group, NIHR Newcastle Biomedical Research Centre, Newcastle Hospitals and Faculty of Medical Sciences Newcastle University, Newcastle, UK
| | - Marjolein Visser
- Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- The Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Stephan von Haehling
- Department of Cardiology and Pneumology, University Medicine Göttingen (UMG), Göttingen, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site Göttingen, Göttingen, Germany
| | - Jean Woo
- Department of Medicine & Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
| | | | | |
Collapse
|
6
|
Vandenput L, Johansson H, McCloskey EV, Liu E, Schini M, Åkesson KE, Anderson FA, Azagra R, Bager CL, Beaudart C, Bischoff-Ferrari HA, Biver E, Bruyère O, Cauley JA, Center JR, Chapurlat R, Christiansen C, Cooper C, Crandall CJ, Cummings SR, da Silva JAP, Dawson-Hughes B, Diez-Perez A, Dufour AB, Eisman JA, Elders PJM, Ferrari S, Fujita Y, Fujiwara S, Glüer CC, Goldshtein I, Goltzman D, Gudnason V, Hall J, Hans D, Hoff M, Hollick RJ, Huisman M, Iki M, Ish-Shalom S, Jones G, Karlsson MK, Khosla S, Kiel DP, Koh WP, Koromani F, Kotowicz MA, Kröger H, Kwok T, Lamy O, Langhammer A, Larijani B, Lippuner K, McGuigan FEA, Mellström D, Merlijn T, Nguyen TV, Nordström A, Nordström P, O'Neill TW, Obermayer-Pietsch B, Ohlsson C, Orwoll ES, Pasco JA, Rivadeneira F, Schott AM, Shiroma EJ, Siggeirsdottir K, Simonsick EM, Sornay-Rendu E, Sund R, Swart KMA, Szulc P, Tamaki J, Torgerson DJ, van Schoor NM, van Staa TP, Vila J, Wareham NJ, Wright NC, Yoshimura N, Zillikens MC, Zwart M, Harvey NC, Lorentzon M, Leslie WD, Kanis JA. A meta-analysis of previous falls and subsequent fracture risk in cohort studies. Osteoporos Int 2024; 35:469-494. [PMID: 38228807 DOI: 10.1007/s00198-023-07012-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Accepted: 12/27/2023] [Indexed: 01/18/2024]
Abstract
The relationship between self-reported falls and fracture risk was estimated in an international meta-analysis of individual-level data from 46 prospective cohorts. Previous falls were associated with an increased fracture risk in women and men and should be considered as an additional risk factor in the FRAX® algorithm. INTRODUCTION Previous falls are a well-documented risk factor for subsequent fracture but have not yet been incorporated into the FRAX algorithm. The aim of this study was to evaluate, in an international meta-analysis, the association between previous falls and subsequent fracture risk and its relation to sex, age, duration of follow-up, and bone mineral density (BMD). METHODS The resource comprised 906,359 women and men (66.9% female) from 46 prospective cohorts. Previous falls were uniformly defined as any fall occurring during the previous year in 43 cohorts; the remaining three cohorts had a different question construct. The association between previous falls and fracture risk (any clinical fracture, osteoporotic fracture, major osteoporotic fracture, and hip fracture) was examined using an extension of the Poisson regression model in each cohort and each sex, followed by random-effects meta-analyses of the weighted beta coefficients. RESULTS Falls in the past year were reported in 21.4% of individuals. During a follow-up of 9,102,207 person-years, 87,352 fractures occurred of which 19,509 were hip fractures. A previous fall was associated with a significantly increased risk of any clinical fracture both in women (hazard ratio (HR) 1.42, 95% confidence interval (CI) 1.33-1.51) and men (HR 1.53, 95% CI 1.41-1.67). The HRs were of similar magnitude for osteoporotic, major osteoporotic fracture, and hip fracture. Sex significantly modified the association between previous fall and fracture risk, with predictive values being higher in men than in women (e.g., for major osteoporotic fracture, HR 1.53 (95% CI 1.27-1.84) in men vs. HR 1.32 (95% CI 1.20-1.45) in women, P for interaction = 0.013). The HRs associated with previous falls decreased with age in women and with duration of follow-up in men and women for most fracture outcomes. There was no evidence of an interaction between falls and BMD for fracture risk. Subsequent risk for a major osteoporotic fracture increased with each additional previous fall in women and men. CONCLUSIONS A previous self-reported fall confers an increased risk of fracture that is largely independent of BMD. Previous falls should be considered as an additional risk factor in future iterations of FRAX to improve fracture risk prediction.
Collapse
Affiliation(s)
- Liesbeth Vandenput
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - Helena Johansson
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
- Sahlgrenska Osteoporosis Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Eugene V McCloskey
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
- MRC and Arthritis Research UK Centre for Integrated Research in Musculoskeletal Ageing, Mellanby Centre for Musculoskeletal Research, University of Sheffield, Sheffield, UK
| | - Enwu Liu
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - Marian Schini
- Division of Clinical Medicine, School of Medicine and Population Health, University of Sheffield, Sheffield, UK
| | - Kristina E Åkesson
- Clinical and Molecular Osteoporosis Research Unit, Department of Clinical Sciences, Lund University, Lund, Sweden
- Department of Orthopedics, Skåne University Hospital, Malmö, Sweden
| | - Fred A Anderson
- GLOW Coordinating Center, Center for Outcomes Research, University of Massachusetts Medical School, Worcester, MA, USA
| | - Rafael Azagra
- Department of Medicine, Autonomous University of Barcelona, Barcelona, Spain
- Health Centre Badia del Valles, Catalan Institute of Health, Barcelona, Spain
- GROIMAP (Research Group), Unitat de Suport a La Recerca Metropolitana Nord, Institut Universitari d'Investigació en Atenció Primària Jordi Gol, Cerdanyola del Vallès, Barcelona, Spain
- PRECIOSA-Fundación Para La Investigación, Barberà del Vallés, Barcelona, Spain
| | | | - Charlotte Beaudart
- WHO Collaborating Centre for Public Health Aspects of Musculoskeletal Health and Aging, Division of Public Health, Epidemiology and Health Economics, University of Liège, Liège, Belgium
- Department of Health Services Research, University of Maastricht, Maastricht, The Netherlands
| | - Heike A Bischoff-Ferrari
- Department of Aging Medicine and Aging Research, University Hospital, Zurich, and University of Zurich, Zurich, Switzerland
- Centre On Aging and Mobility, University of Zurich and City Hospital, Zurich, Switzerland
| | - Emmanuel Biver
- Division of Bone Diseases, Department of Medicine, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Olivier Bruyère
- WHO Collaborating Centre for Public Health Aspects of Musculoskeletal Health and Aging, Division of Public Health, Epidemiology and Health Economics, University of Liège, Liège, Belgium
| | - Jane A Cauley
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Jacqueline R Center
- Skeletal Diseases Program, Garvan Institute of Medical Research, Sydney, NSW, Australia
- St Vincent's Clinical School, School of Medicine and Health, University of New South Wales Sydney, Sydney, NSW, Australia
- School of Medicine Sydney, University of Notre Dame Australia, Sydney, NSW, Australia
| | - Roland Chapurlat
- INSERM UMR 1033, Université Claude Bernard-Lyon1, Hôpital Edouard Herriot, Lyon, France
| | | | - Cyrus Cooper
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospitals Southampton NHS Foundation Trust, Southampton, UK
- NIHR Oxford Biomedical Research Unit, University of Oxford, Oxford, UK
| | - Carolyn J Crandall
- Division of General Internal Medicine and Health Services Research, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Steven R Cummings
- San Francisco Coordinating Center, California Pacific Medical Center Research Institute, San Francisco, CA, USA
| | - José A P da Silva
- Coimbra Institute for Clinical and Biomedical Research, Faculty of Medicine, University of Coimbra, Coimbra, Portugal
- Rheumatology Department, Centro Hospitalar E Universitário de Coimbra, Coimbra, Portugal
| | - Bess Dawson-Hughes
- Bone Metabolism Laboratory, Jean Mayer US Department of Agriculture Human Nutrition Research Center On Aging, Tufts University, Boston, MA, USA
| | - Adolfo Diez-Perez
- Department of Internal Medicine, Hospital del Mar and CIBERFES, Autonomous University of Barcelona, Barcelona, Spain
| | - Alyssa B Dufour
- Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - John A Eisman
- Skeletal Diseases Program, Garvan Institute of Medical Research, Sydney, NSW, Australia
- St Vincent's Clinical School, School of Medicine and Health, University of New South Wales Sydney, Sydney, NSW, Australia
- School of Medicine Sydney, University of Notre Dame Australia, Sydney, NSW, Australia
| | - Petra J M Elders
- Department of General Practice, Amsterdam UMC, Location AMC, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Serge Ferrari
- Division of Bone Diseases, Department of Medicine, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Yuki Fujita
- Center for Medical Education and Clinical Training, Kindai University Faculty of Medicine, Osaka, Japan
| | - Saeko Fujiwara
- Department of Pharmacy, Yasuda Women's University, Hiroshima, Japan
| | - Claus-Christian Glüer
- Section Biomedical Imaging, Molecular Imaging North Competence Center, Department of Radiology and Neuroradiology, University Medical Center Schleswig-Holstein Kiel, Kiel University, Kiel, Germany
| | - Inbal Goldshtein
- Maccabitech Institute of Research and Innovation, Maccabi Healthcare Services, Tel Aviv, Israel
- Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - David Goltzman
- Department of Medicine, McGill University and McGill University Health Centre, Montreal, Canada
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- University of Iceland, Reykjavik, Iceland
| | - Jill Hall
- MRC Centre for Reproductive Health, University of Edinburgh, Edinburgh, UK
| | - Didier Hans
- Interdisciplinary Centre of Bone Diseases, Bone and Joint Department, Lausanne University Hospital (CHUV) & University of Lausanne, Lausanne, Switzerland
| | - Mari Hoff
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Rheumatology, St. Olavs Hospital, Trondheim, Norway
| | - Rosemary J Hollick
- Aberdeen Centre for Arthritis and Musculoskeletal Health, Epidemiology Group, University of Aberdeen, Aberdeen, UK
| | - Martijn Huisman
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, The Netherlands
- Department of Sociology, VU University, Amsterdam, The Netherlands
| | - Masayuki Iki
- Department of Public Health, Kindai University Faculty of Medicine, Osaka, Japan
| | | | - Graeme Jones
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Magnus K Karlsson
- Clinical and Molecular Osteoporosis Research Unit, Department of Clinical Sciences, Lund University, Lund, Sweden
- Department of Orthopaedics, Skåne University Hospital, Malmö, Sweden
| | - Sundeep Khosla
- Robert and Arlene Kogod Center On Aging and Division of Endocrinology, Mayo Clinic College of Medicine, Mayo Clinic, Rochester, MN, USA
| | - Douglas P Kiel
- Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
- Marcus Institute for Aging Research, Hebrew Senior Life, Boston, MA, USA
| | - Woon-Puay Koh
- Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research (A*STAR), Singapore, Singapore
| | - Fjorda Koromani
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Mark A Kotowicz
- IMPACT (Institute for Mental and Physical Health and Clinical Translation), Deakin University, Geelong, VIC, Australia
- Barwon Health, Geelong, VIC, Australia
- Department of Medicine-Western Health, The University of Melbourne, St Albans, VIC, Australia
| | - Heikki Kröger
- Department of Orthopedics and Traumatology, Kuopio University Hospital, Kuopio, Finland
- Kuopio Musculoskeletal Research Unit, University of Eastern Finland, Kuopio, Finland
| | - Timothy Kwok
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, Hong Kong
- Jockey Club Centre for Osteoporosis Care and Control, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, Hong Kong
| | - Olivier Lamy
- Centre of Bone Diseases, Lausanne University Hospital, Lausanne, Switzerland
- Service of Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - Arnulf Langhammer
- HUNT Research Centre, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - Bagher Larijani
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Kurt Lippuner
- Department of Osteoporosis, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Fiona E A McGuigan
- Clinical and Molecular Osteoporosis Research Unit, Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Dan Mellström
- Geriatric Medicine, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Geriatric Medicine, Sahlgrenska University Hospital Mölndal, Mölndal, Sweden
| | - Thomas Merlijn
- Department of General Practice, Amsterdam UMC, Location AMC, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Tuan V Nguyen
- School of Medicine Sydney, University of Notre Dame Australia, Sydney, NSW, Australia
- School of Biomedical Engineering, University of Technology Sydney, Sydney, Australia
- School of Population Health, UNSW Medicine, UNSW Sydney, Kensington, Australia
| | - Anna Nordström
- School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, Norway
- Department of Health Sciences, Swedish Winter Sports Research Centre, Mid Sweden University, Östersund, Sweden
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Peter Nordström
- Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden
| | - Terence W O'Neill
- National Institute for Health Research Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Centre for Epidemiology Versus Arthritis, University of Manchester, Manchester, UK
| | - Barbara Obermayer-Pietsch
- Department of Internal Medicine, Division of Endocrinology and Diabetology, Medical University Graz, Graz, Austria
- Center for Biomarker Research in Medicine, Graz, Austria
| | - Claes Ohlsson
- Sahlgrenska Osteoporosis Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Drug Treatment, Sahlgrenska University Hospital, Region Västra Götaland, Gothenburg, Sweden
| | - Eric S Orwoll
- Department of Medicine, Oregon Health and Science University, Portland, OR, USA
| | - Julie A Pasco
- IMPACT (Institute for Mental and Physical Health and Clinical Translation), Deakin University, Geelong, VIC, Australia
- Barwon Health, Geelong, VIC, Australia
- Department of Medicine-Western Health, The University of Melbourne, St Albans, VIC, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia
| | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Anne-Marie Schott
- Université Claude Bernard Lyon 1, U INSERM 1290 RESHAPE, Lyon, France
| | - Eric J Shiroma
- Laboratory of Epidemiology and Population Sciences, National Institute On Aging, Baltimore, MD, USA
| | | | - Eleanor M Simonsick
- Translational Gerontology Branch, National Institute On Aging Intramural Research Program, Baltimore, MD, USA
| | | | - Reijo Sund
- Kuopio Musculoskeletal Research Unit, University of Eastern Finland, Kuopio, Finland
| | - Karin M A Swart
- Department of General Practice, Amsterdam UMC, Location VUmc, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
- PHARMO Institute for Drug Outcomes Research, Utrecht, The Netherlands
| | - Pawel Szulc
- INSERM UMR 1033, Université Claude Bernard-Lyon1, Hôpital Edouard Herriot, Lyon, France
| | - Junko Tamaki
- Department of Hygiene and Public Health, Faculty of Medicine, Educational Foundation of Osaka Medical and Pharmaceutical University, Osaka, Japan
| | - David J Torgerson
- York Trials Unit, Department of Health Sciences, University of York, York, UK
| | - Natasja M van Schoor
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, The Netherlands
| | - Tjeerd P van Staa
- Centre for Health Informatics, Faculty of Biology, Medicine and Health, School of Health Sciences, University of Manchester, Manchester, UK
| | - Joan Vila
- Statistics Support Unit, Hospital del Mar Medical Research Institute, CIBER Epidemiology and Public Health (CIBERESP), Barcelona, Spain
| | | | - Nicole C Wright
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Noriko Yoshimura
- Department of Preventive Medicine for Locomotive Organ Disorders, The University of Tokyo Hospital, Tokyo, Japan
| | - MCarola Zillikens
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Marta Zwart
- PRECIOSA-Fundación Para La Investigación, Barberà del Vallés, Barcelona, Spain
- Health Center Can Gibert del Plà, Catalan Institute of Health, Girona, Spain
- Department of Medical Sciences, University of Girona, Girona, Spain
- GROIMAP/GROICAP (Research Groups), Unitat de Suport a La Recerca Girona, Institut Universitari d'Investigació en Atenció Primària Jordi Gol, Girona, Spain
| | - Nicholas C Harvey
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospitals Southampton NHS Foundation Trust, Southampton, UK
| | - Mattias Lorentzon
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Sahlgrenska Osteoporosis Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Geriatric Medicine, Sahlgrenska University Hospital, Mölndal, Sweden
| | - William D Leslie
- Department of Medicine, University of Manitoba, Winnipeg, MB, Canada
| | - John A Kanis
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia.
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK.
| |
Collapse
|
7
|
Tonnesen PE, Mercaldo ND, Tahir I, Dietrich ASW, Amayri W, Graur A, Allaire B, Bouxsein ML, Samelson EJ, Kiel DP, Fintelmann FJ. Muscle Reference Values From Thoracic and Abdominal CT for Sarcopenia Assessment: The Framingham Heart Study. Invest Radiol 2024; 59:259-270. [PMID: 37725490 PMCID: PMC10920396 DOI: 10.1097/rli.0000000000001012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/21/2023]
Abstract
BACKGROUND Loss of muscle mass is a known feature of sarcopenia and predicts poor clinical outcomes. Although muscle metrics can be derived from routine computed tomography (CT) images, sex-specific reference values at multiple vertebral levels over a wide age range are lacking. OBJECTIVE The aim of this study was to provide reference values for skeletal muscle mass and attenuation on thoracic and abdominal CT scans in the community-based Framingham Heart Study cohort to aid in the identification of sarcopenia. MATERIALS AND METHODS This secondary analysis of a prospective trial describes muscle metrics by age and sex for participants from the Framingham Heart Study without prior history of cancer who underwent at least 1 CT scan between 2002 and 2011. Using 2 previously validated machine learning algorithms followed by human quality assurance, skeletal muscle was analyzed on a single axial CT image per level at the 5th, 8th, 10th thoracic, and 3rd lumbar vertebral body (T5, T8, T10, L3). Cross-sectional muscle area (cm 2 ), mean skeletal muscle radioattenuation (SMRA, in Hounsfield units), skeletal muscle index (SMI, in cm 2 /m 2 ), and skeletal muscle gauge (SMRA·SMI) were calculated. Measurements were summarized by age group (<45, 45-54, 55-64, 65-74, ≥75 years), sex, and vertebral level. Models enabling the calculation of age-, sex-, and vertebral-level-specific reference values were created and embedded into an open access online Web application. RESULTS The cohort consisted of 3804 participants (1917 [50.4%] males; mean age, 55.6 ± 11.8 years; range, 33-92 years) and 7162 CT scans. Muscle metrics qualitatively decreased with increasing age and female sex. CONCLUSIONS This study established age- and sex-specific reference values for CT-based muscle metrics at thoracic and lumbar vertebral levels. These values may be used in future research investigating the role of muscle mass and attenuation in health and disease, and to identify sarcopenia.
Collapse
Affiliation(s)
- P. Erik Tonnesen
- Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, Boston, MA
- Department of Radiology and Nuclear Medicine, University Hospital Schleswig-Holstein, Lübeck, Germany
| | - Nathaniel D. Mercaldo
- Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Ismail Tahir
- Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, Boston, MA
| | - Anna-Sophia W. Dietrich
- Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, Boston, MA
| | - Wael Amayri
- Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, Boston, MA
| | - Alexander Graur
- Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, Boston, MA
| | - Brett Allaire
- Center for Advanced Orthopaedic Studies, Beth Israel Deaconess Medical Center, Boston, MA
| | - Mary L. Bouxsein
- Center for Advanced Orthopaedic Studies, Beth Israel Deaconess Medical Center, Boston, MA
- Department of Orthopedic Surgery, Harvard Medical School, Boston, MA
- Endocrine Division, Massachusetts General Hospital, Boston, MA
| | - Elizabeth J. Samelson
- Harvard Medical School, Boston, MA
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA
| | - Douglas P. Kiel
- Harvard Medical School, Boston, MA
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA
| | - Florian J. Fintelmann
- Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| |
Collapse
|
8
|
Zhang T, Zullo AR, Hayes KKN, Kim DH, Lee Y, Daiello LA, Kiel DP, Berry SD. Use of Diabetes Medications before and after a Heart Failure-Related Hospitalization among Nursing Home Residents. J Am Med Dir Assoc 2024; 25:454-458. [PMID: 37553080 PMCID: PMC10839110 DOI: 10.1016/j.jamda.2023.06.033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 06/26/2023] [Accepted: 06/27/2023] [Indexed: 08/10/2023]
Abstract
OBJECTIVES Sodium-glucose cotransporter-2 inhibitors (SGLT-2is) and glucagon-like peptide-1 receptor agonists (GLP-1RAs) offer cardiovascular benefits, whereas thiazolidinediones (TZDs) and sulfonylureas (SUs) increase cardiovascular risk. The objective of this study was to describe the use of SGLT-2is, GLP-1RAs, TZDs, and SUs before and after a heart failure (HF)-related hospitalization in nursing home (NH) residents with type 2 diabetes (T2D). DESIGN This was a cohort study using a 20% sample of Medicare claims linked with Minimum Data Set resident assessments. SETTING AND PARTICIPANTS The study population was long-stay NH residents with T2D and an HF-related hospitalization between January 1, 2013, and August 31, 2018. For individuals with multiple HF hospitalizations, 1 hospitalization was randomly selected. METHODS We ascertained diabetes medications using Medicare Part D claims during the 120 days before and after hospital discharge (or skilled nursing facility discharge, where applicable). We calculated (1) the proportion of study participants who received a medication class of interest during pre- and posthospitalization periods; (2) the proportion of continuous users; and (3) the proportion of posthospitalization users who were new users. RESULTS A total of 12,990 NH residents with T2D and an HF-related hospitalization were included (mean age 78 years, 66% female, 19% Black). Before hospitalization, 1.5% received TZDs, 14.1% received SUs, 1.2% received GLP-1RAs, and 0.3% received SGLT-2is. Among prehospitalization users of TZDs, SUs, GLP-1RAs, and SGLT-2is, 49%, 62%, 60%, and 40% continued the medications, respectively. Among posthospitalization users of TZDs, SUs, GLP-1RAs, and SGLT-2is, 37%, 10%, 28%, and 11%, respectively, were new users. CONCLUSIONS Among NH residents with hospitalized HF, GLP-1RAs and SGLT-2is were seldom used. TZDs and SUs were still used by many residents with T2D after HF hospitalizations. IMPLEMENTATIONS Barriers may exist in the use of newer diabetes medications to prevent heart failure in NH residents with T2D, which warrants further studies in older adults with multimorbidity.
Collapse
Affiliation(s)
- Tingting Zhang
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA; Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA.
| | - Andrew R Zullo
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA; Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA; Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, RI, USA; Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA
| | - Kaleen Kaley N Hayes
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA; Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA; Graduate, Department of Pharmaceutical Sciences, University of Toronto, Toronto, Canada
| | - Dae Hyun Kim
- Division of Gerontology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA; Hebrew SeniorLife, Hinda and Arthur Marcus Institute for Aging Research, Boston, MA, USA
| | - Yoojin Lee
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA; Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA
| | - Lori A Daiello
- Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA; Department of Neurology, The Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Douglas P Kiel
- Division of Gerontology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA; Hebrew SeniorLife, Hinda and Arthur Marcus Institute for Aging Research, Boston, MA, USA
| | - Sarah D Berry
- Division of Gerontology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA; Hebrew SeniorLife, Hinda and Arthur Marcus Institute for Aging Research, Boston, MA, USA
| |
Collapse
|
9
|
Lu H, Lary CW, Hodonsky CJ, Peyser PA, Bos D, van der Laan SW, Miller CL, Rivadeneira F, Kiel DP, Kavousi M, Medina-Gomez C. Association between bone mineral density and coronary artery calcification: an observational and Mendelian randomization study. J Bone Miner Res 2024:zjae022. [PMID: 38477752 DOI: 10.1093/jbmr/zjae022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 01/10/2024] [Accepted: 02/02/2024] [Indexed: 03/14/2024]
Abstract
Observational studies have reported inconsistent associations between bone mineral density (BMD) and coronary artery calcification (CAC). We examined the observational association of BMD with CAC in two large population-based studies and evaluated the evidence for a potential causal relation between BMD and CAC using polygenic risk scores (PRS), 1- and 2-sample Mendelian randomization (MR) approaches. Our study populations comprised 1414 individuals (mean age 69.9 years, 52.0% women) from the Rotterdam Study and 2233 individuals (mean age 56.5 years, 50.9% women) from the Framingham Heart Study with complete information on CAC and BMD measurements at the total body (TB-), lumbar spine (LS-), and femoral neck (FN-). We used linear regression models to evaluate the observational association between BMD and CAC. Subsequently, we compared the mean CAC across PRSBMD quintile groups at different skeletal sites. In addition, we used the 2-stage least squares regression (2SLS) and the inverse variance weighted (IVW) model as primary methods for 1- and 2-sample MR to test evidence for a potentially causal association. We did not observe robust associations between measured BMD levels and CAC. These results were consistent with a uniform random distribution of mean CAC across PRSBMD quintile groups (p-value >0.05). Moreover, neither 1- nor 2-sample MR supported the possible causal association between BMD and CAC. Our results do not support the contention that lower BMD is (causally) associated with an increased CAC risk. These findings suggest that previously reported epidemiological associations of BMD with CAC are likely explained by unmeasured confounders or shared etiology, rather than by causal pathways underlying both osteoporosis and vascular calcification processes.
Collapse
Affiliation(s)
- Haojie Lu
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Christine W Lary
- Roux Institute at Northeastern University, Portland, ME, United States
| | - Chani J Hodonsky
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, United States
| | - Patricia A Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Daniel Bos
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Sander W van der Laan
- Central Diagnostics Laboratory, Division Laboratories, Pharmacy, and Biomedical Genetics, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Clint L Miller
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, United States
- Department of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, VA, United States
- Department of Public Health Sciences, University of Virginia, Charlottesville, VA, United States
| | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Douglas P Kiel
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew Senior Life Boston, MA, United States
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
| | - Maryam Kavousi
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Carolina Medina-Gomez
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| |
Collapse
|
10
|
Chattaris T, Yang L, Johansson H, Sahni S, Samelson EJ, Kiel DP, Berry SD. Performance of FRAX in older adults with frailty: the Framingham Heart Study. Osteoporos Int 2024; 35:265-275. [PMID: 37872347 PMCID: PMC10872348 DOI: 10.1007/s00198-023-06950-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 10/09/2023] [Indexed: 10/25/2023]
Abstract
We compared the performance of FRAX according to frailty status in 3554 individuals from the Framingham Study. During 10-year follow-up, 6.9% and 3.0% of participants with and without frailty experienced MOF. Discrimination profiles were lower in participants with frailty compared to those without, but they improved when FRAX included BMD. INTRODUCTION Frailty increases fracture risk. FRAX was developed to predict fractures but never validated in individuals with frailty. We aimed to compare the predictive performance of FRAX (v4.3) in individuals with and without frailty. METHODS We conducted a cohort study using the Framingham Heart Study. Frailty was defined by the Fried phenotype. Major osteoporotic fractures (MOF) were ascertained from medical records during 10-year follow-up. To evaluate discrimination and calibration of FRAX, we calculated the area-under-the-receiver-operating characteristics curves (AUC) using logistic regression models and observed-to-predicted fracture probabilities. Analyses were stratified by frailty status. RESULTS Frailty was present in 550/3554 (15.5%) of participants. Participants with frailty were older (81.1 vs. 67.6 years), female (68.6% vs. 55.1%), and had greater mean FRAX scores (MOF: 15.9% vs. 10.1%) than participants without frailty. During follow-up, 38 participants with frailty (6.9%) and 91 without (3.0%) had MOFs. The AUC for FRAX (without BMD) was lower in participants with frailty (0.584; 95% CI 0.504-0.663) compared to those without (0.695; 95% CI 0.649-0.741); p value = 0.02. Among participants with frailty, the AUC improved when FRAX included BMD (AUC 0.658, p value < 0.01). FRAX overestimated MOF risk, with larger overestimations in individuals without frailty. Performance of FRAX for hip fracture was similar. CONCLUSION FRAX may have been less able to identify frail individuals at risk for fracture, as compared with individuals without frailty, unless information on BMD is available. This suggests that BMD captures features important for fracture prediction in frail persons. Future fracture prediction models should be developed among persons with frailty.
Collapse
Affiliation(s)
- Tanchanok Chattaris
- Department of Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Nakhon Pathom, Thailand
- Hinda and Arthur Marcus Institute for Aging Research and Department of Medicine, Hebrew SeniorLife, 1200 Centre Street, Boston, MA, 02131, USA
| | - Laiji Yang
- Hinda and Arthur Marcus Institute for Aging Research and Department of Medicine, Hebrew SeniorLife, 1200 Centre Street, Boston, MA, 02131, USA
| | | | - Shivani Sahni
- Hinda and Arthur Marcus Institute for Aging Research and Department of Medicine, Hebrew SeniorLife, 1200 Centre Street, Boston, MA, 02131, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Elizabeth J Samelson
- Hinda and Arthur Marcus Institute for Aging Research and Department of Medicine, Hebrew SeniorLife, 1200 Centre Street, Boston, MA, 02131, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Douglas P Kiel
- Hinda and Arthur Marcus Institute for Aging Research and Department of Medicine, Hebrew SeniorLife, 1200 Centre Street, Boston, MA, 02131, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Sarah D Berry
- Hinda and Arthur Marcus Institute for Aging Research and Department of Medicine, Hebrew SeniorLife, 1200 Centre Street, Boston, MA, 02131, USA.
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
| |
Collapse
|
11
|
Moqri M, Herzog C, Poganik JR, Ying K, Justice JN, Belsky DW, Higgins-Chen AT, Chen BH, Cohen AA, Fuellen G, Hägg S, Marioni RE, Widschwendter M, Fortney K, Fedichev PO, Zhavoronkov A, Barzilai N, Lasky-Su J, Kiel DP, Kennedy BK, Cummings S, Slagboom PE, Verdin E, Maier AB, Sebastiano V, Snyder MP, Gladyshev VN, Horvath S, Ferrucci L. Validation of biomarkers of aging. Nat Med 2024; 30:360-372. [PMID: 38355974 DOI: 10.1038/s41591-023-02784-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 12/19/2023] [Indexed: 02/16/2024]
Abstract
The search for biomarkers that quantify biological aging (particularly 'omic'-based biomarkers) has intensified in recent years. Such biomarkers could predict aging-related outcomes and could serve as surrogate endpoints for the evaluation of interventions promoting healthy aging and longevity. However, no consensus exists on how biomarkers of aging should be validated before their translation to the clinic. Here, we review current efforts to evaluate the predictive validity of omic biomarkers of aging in population studies, discuss challenges in comparability and generalizability and provide recommendations to facilitate future validation of biomarkers of aging. Finally, we discuss how systematic validation can accelerate clinical translation of biomarkers of aging and their use in gerotherapeutic clinical trials.
Collapse
Affiliation(s)
- Mahdi Moqri
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Genetics, School of Medicine, Stanford University, Stanford, CA, USA
- Department of Obstetrics and Gynecology, School of Medicine, Stanford University, Stanford, CA, USA
| | - Chiara Herzog
- European Translational Oncology Prevention and Screening Institute, Universität Innsbruck, Innsbruck, Austria
| | - Jesse R Poganik
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Kejun Ying
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Jamie N Justice
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Daniel W Belsky
- Department of Epidemiology, Butler Columbia Aging Center, Mailman School of Public Health, Columbia University, New York, NY, USA
| | | | - Brian H Chen
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, San Diego, CA, USA
| | - Alan A Cohen
- Department of Environmental Health Sciences, Butler Columbia Aging Center, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Georg Fuellen
- Institute for Biostatistics and Informatics in Medicine and Ageing Research, Rostock University Medical Center, Rostock, Germany
- School of Medicine, University College Dublin, Dublin, Ireland
| | - Sara Hägg
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Riccardo E Marioni
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Martin Widschwendter
- European Translational Oncology Prevention and Screening Institute, Universität Innsbruck, Innsbruck, Austria
- Department of Women's Cancer, EGA Institute for Women's Health, University College London, London, UK
- Department of Women's and Children's Health, Division of Obstetrics and Gynaecology, Karolinska Institutet, Stockholm, Sweden
| | | | | | | | - Nir Barzilai
- Institute for Aging Research, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Jessica Lasky-Su
- Department of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Douglas P Kiel
- Musculoskeletal Research Center, Hinda and Arthur Marcus Institute for Aging Research and Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Brian K Kennedy
- Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Healthy Longevity Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Centre for Healthy Longevity, @AgeSingapore, National University Health System, Singapore, Singapore
| | - Steven Cummings
- San Francisco Coordinating Center, California Pacific Medical Center Research Institute, San Francisco, CA, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - P Eline Slagboom
- Section of Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands
| | - Eric Verdin
- Buck Institute for Research on Aging, Novato, CA, USA
| | - Andrea B Maier
- Healthy Longevity Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Centre for Healthy Longevity, @AgeSingapore, National University Health System, Singapore, Singapore
- Department of Human Movement Sciences, @AgeAmsterdam, Amsterdam Movement Sciences, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Vittorio Sebastiano
- Department of Obstetrics and Gynecology, School of Medicine, Stanford University, Stanford, CA, USA
| | - Michael P Snyder
- Department of Genetics, School of Medicine, Stanford University, Stanford, CA, USA
| | - Vadim N Gladyshev
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | | | | |
Collapse
|
12
|
Smith C, Sim M, Dalla Via J, Gebre AK, Zhu K, Lim WH, Teh R, Kiel DP, Schousboe JT, Levinger I, von Haehling S, Woodman R, Coats AJS, Prince RL, Lewis JR. Extent of Abdominal Aortic Calcification Is Associated With Incident Rapid Weight Loss Over 5 Years: The Perth Longitudinal Study of Ageing Women. Arterioscler Thromb Vasc Biol 2024; 44:e54-e64. [PMID: 38095109 PMCID: PMC10832333 DOI: 10.1161/atvbaha.123.320118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 11/27/2023] [Indexed: 01/26/2024]
Abstract
BACKGROUND Abdominal aortic calcification (AAC), a marker of vascular disease, is associated with disease in other vascular beds including gastrointestinal arteries. We investigated whether AAC is related to rapid weight loss over 5 years and whether rapid weight loss is associated with 9.5-year all-cause mortality in community-dwelling older women. METHODS Lateral spine images from dual-energy x-ray absorptiometry (1998/1999) were used to assess AAC (24-point AAC scoring method) in 929 older women. Over 5 years, body weight was assessed at 12-month intervals. Rapid weight loss was defined as >5% decrease in body weight within any 12-month interval. Multivariable-adjusted logistic regression was used to assess AAC and rapid weight loss and Cox regression to assess the relationship between rapid weight loss and 9.5-year all-cause mortality. RESULTS Mean±SD age of women was 75.0±2.6 years. During the initial 5 years, 366 (39%) women presented with rapid weight loss. Compared with women with low AAC (24-point AAC score 0-1), those with moderate (24-point AAC score 2-5: odds ratio, 1.36 [95% CI, 1.00-1.85]) and extensive (24-point AAC score 6+: odds ratio, 1.59 [95% CI, 1.10-2.31]) AAC had higher odds for presenting with rapid weight loss. Results remained similar after further adjustment for dietary factors (alcohol, protein, fat, and carbohydrates), diet quality, blood pressure, and cholesterol measures. The estimates were similar in subgroups of women who met protein intake (n=599) and physical activity (n=735) recommendations (extensive AAC: odds ratios, 1.81 [95% CI, 1.12-2.92] and 1.58 [95% CI, 1.02-2.44], respectively). Rapid weight loss was associated with all-cause mortality over the next 9.5 years (hazard ratio, 1.49 [95% CI, 1.17-1.89]; P=0.001). CONCLUSIONS AAC extent was associated with greater risk for rapid weight loss over 5 years in older women, a risk for all-cause mortality. Since the association was unchanged after taking nutritional intakes into account, these data support the possibility that vascular disease may play a role in the maintenance of body weight.
Collapse
Affiliation(s)
- Cassandra Smith
- Nutrition & Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Perth, Western Australia (C.S., M.S., J.D.V., A.K.G., J.R.L.)
- Medical School, The University of Western Australia, Perth (C.S., M.S., K.Z., W.H.L., R.T., R.L.P., J.R.L.)
| | - Marc Sim
- Nutrition & Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Perth, Western Australia (C.S., M.S., J.D.V., A.K.G., J.R.L.)
- Medical School, The University of Western Australia, Perth (C.S., M.S., K.Z., W.H.L., R.T., R.L.P., J.R.L.)
- Royal Perth Hospital Research Foundation, Western Australia (M.S.)
| | - Jack Dalla Via
- Nutrition & Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Perth, Western Australia (C.S., M.S., J.D.V., A.K.G., J.R.L.)
| | - Abadi K Gebre
- Nutrition & Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Perth, Western Australia (C.S., M.S., J.D.V., A.K.G., J.R.L.)
| | - Kun Zhu
- Medical School, The University of Western Australia, Perth (C.S., M.S., K.Z., W.H.L., R.T., R.L.P., J.R.L.)
- Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Nedlands, Western Australia (K.Z., R.L.P.)
| | - Wai H Lim
- Medical School, The University of Western Australia, Perth (C.S., M.S., K.Z., W.H.L., R.T., R.L.P., J.R.L.)
- Renal Department, Sir Charles Gairdner Hospital, Nedlands, Western Australia (W.H.L.)
| | - Ryan Teh
- Medical School, The University of Western Australia, Perth (C.S., M.S., K.Z., W.H.L., R.T., R.L.P., J.R.L.)
- Fiona Stanley Hospital, Murdoch, Western Australia (R.T.)
| | - Douglas P Kiel
- Marcus Institute for Aging Research, Hebrew SeniorLife, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA (D.P.K.)
| | - John T Schousboe
- Park Nicollet Clinic and HealthPartners Institute, Minneapolis, MN (J.T.S.)
- Division of Health Policy and Management, University of Minnesota, Minneapolis (J.T.S.)
| | - Itamar Levinger
- Institute for Health and Sport, Victoria University, Melbourne, Australia (I.L.)
- Australian Institute for Musculoskeletal Science, University of Melbourne and Western Health, St Albans (I.L.)
| | - Stephan von Haehling
- Department of Cardiology and Pneumology, University of Göttingen Medical Center, Germany (S.v.H.)
- German Center for Cardiovascular Research (DZHK), Partner Site Göttingen, Germany (S.v.H.)
| | - Richard Woodman
- Flinders Health and Medical Research Institute-Cancer Program, Flinders University, Bedford Park, South Australia (R.W.)
| | | | - Richard L Prince
- Medical School, The University of Western Australia, Perth (C.S., M.S., K.Z., W.H.L., R.T., R.L.P., J.R.L.)
- Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Nedlands, Western Australia (K.Z., R.L.P.)
| | - Joshua R Lewis
- Nutrition & Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Perth, Western Australia (C.S., M.S., J.D.V., A.K.G., J.R.L.)
- Medical School, The University of Western Australia, Perth (C.S., M.S., K.Z., W.H.L., R.T., R.L.P., J.R.L.)
- Centre for Kidney Research, Children's Hospital at Westmead, School of Public Health, Sydney Medical School, The University of Sydney, Australia (J.R.L.)
| |
Collapse
|
13
|
Lary CW, Ghatan S, Gerety M, Hinton A, Nagarajan A, Rosen C, Ross RD, Bennett DA, DeStefano AL, Ikram MA, Rivadeneira F, Kiel DP, Seshadri S, Beiser A. Bone mineral density and the risk of incident dementia: A meta-analysis. J Am Geriatr Soc 2024; 72:194-200. [PMID: 37933827 PMCID: PMC10829515 DOI: 10.1111/jgs.18638] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 08/22/2023] [Accepted: 09/17/2023] [Indexed: 11/08/2023]
Abstract
BACKGROUND It is not known whether bone mineral density (BMD) measured at baseline or as the rate of decline prior to baseline (prior bone loss) is a stronger predictor of incident dementia or Alzheimer's disease (AD). METHODS We performed a meta-analysis of three longitudinal studies, the Framingham Heart Study (FHS), the Rotterdam Study (RS), and the Rush Memory and Aging Project (MAP), modeling the time to diagnosis of dementia as a function of BMD measures accounting for covariates. We included individuals with one or two BMD assessments, aged ≥60 years, and free of dementia at baseline with follow-up available. BMD was measured at the hip femoral neck using dual-energy X-ray absorptiometry (DXA), or at the heel calcaneus using quantitative ultrasound to calculate estimated BMD (eBMD). BMD at study baseline ("baseline BMD") and annualized percentage change in BMD prior to baseline ("prior bone loss") were included as continuous measures. The primary outcome was incident dementia diagnosis within 10 years of baseline, and incident AD was a secondary outcome. Baseline covariates included age, sex, body mass index, ApoE4 genotype, and education. RESULTS The combined sample size across all three studies was 4431 with 606 incident dementia diagnoses, 498 of which were AD. A meta-analysis of baseline BMD across three studies showed higher BMD to have a significant protective association with incident dementia with a hazard ratio of 0.47 (95% CI: 0.23-0.96; p = 0.038) per increase in g/cm2 , or 0.91 (95% CI: 0.84-0.995) per standard deviation increase. We observed a significant association between prior bone loss and incident dementia with a hazard ratio of 1.30 (95% CI: 1.12-1.51; p < 0.001) per percent increase in prior bone loss only in the FHS cohort. CONCLUSIONS Baseline BMD but not prior bone loss was associated with incident dementia in a meta-analysis across three studies.
Collapse
Affiliation(s)
- Christine W. Lary
- Roux Institute at Northeastern University, Portland, ME
- MaineHealth Institute for Research, Scarborough, ME
| | | | | | | | - Archana Nagarajan
- Roux Institute at Northeastern University, Portland, ME
- MaineHealth Institute for Research, Scarborough, ME
- Tufts University Graduate School of Biomedical Sciences, Boston, MA
| | | | - Ryan D. Ross
- Department of Anatomy & Cell Biology, Rush University Medical Center
| | - David A. Bennett
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL
| | | | | | | | - Douglas P. Kiel
- Hinda and Arthur Marcus Institute for Aging Research and Department of Medicine, Hebrew SeniorLife, Boston, MA
- Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA
| | - Sudha Seshadri
- Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases, UT Health, San Antonio, TX
- Boston University School of Medicine, Boston, MA
| | - Alexa Beiser
- Boston University School of Public Health, Boston, MA
- Boston University School of Medicine, Boston, MA
| |
Collapse
|
14
|
Kanis JA, Johansson H, McCloskey EV, Liu E, Åkesson KE, Anderson FA, Azagra R, Bager CL, Beaudart C, Bischoff-Ferrari HA, Biver E, Bruyère O, Cauley JA, Center JR, Chapurlat R, Christiansen C, Cooper C, Crandall CJ, Cummings SR, da Silva JAP, Dawson-Hughes B, Diez-Perez A, Dufour AB, Eisman JA, Elders PJM, Ferrari S, Fujita Y, Fujiwara S, Glüer CC, Goldshtein I, Goltzman D, Gudnason V, Hall J, Hans D, Hoff M, Hollick RJ, Huisman M, Iki M, Ish-Shalom S, Jones G, Karlsson MK, Khosla S, Kiel DP, Koh WP, Koromani F, Kotowicz MA, Kröger H, Kwok T, Lamy O, Langhammer A, Larijani B, Lippuner K, Mellström D, Merlijn T, Nordström A, Nordström P, O'Neill TW, Obermayer-Pietsch B, Ohlsson C, Orwoll ES, Pasco JA, Rivadeneira F, Schott AM, Shiroma EJ, Siggeirsdottir K, Simonsick EM, Sornay-Rendu E, Sund R, Swart KMA, Szulc P, Tamaki J, Torgerson DJ, van Schoor NM, van Staa TP, Vila J, Wareham NJ, Wright NC, Yoshimura N, Zillikens MC, Zwart M, Vandenput L, Harvey NC, Lorentzon M, Leslie WD. Previous fracture and subsequent fracture risk: a meta-analysis to update FRAX. Osteoporos Int 2023; 34:2027-2045. [PMID: 37566158 PMCID: PMC7615305 DOI: 10.1007/s00198-023-06870-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 07/22/2023] [Indexed: 08/12/2023]
Abstract
A large international meta-analysis using primary data from 64 cohorts has quantified the increased risk of fracture associated with a previous history of fracture for future use in FRAX. INTRODUCTION The aim of this study was to quantify the fracture risk associated with a prior fracture on an international basis and to explore the relationship of this risk with age, sex, time since baseline and bone mineral density (BMD). METHODS We studied 665,971 men and 1,438,535 women from 64 cohorts in 32 countries followed for a total of 19.5 million person-years. The effect of a prior history of fracture on the risk of any clinical fracture, any osteoporotic fracture, major osteoporotic fracture, and hip fracture alone was examined using an extended Poisson model in each cohort. Covariates examined were age, sex, BMD, and duration of follow-up. The results of the different studies were merged by using the weighted β-coefficients. RESULTS A previous fracture history, compared with individuals without a prior fracture, was associated with a significantly increased risk of any clinical fracture (hazard ratio, HR = 1.88; 95% CI = 1.72-2.07). The risk ratio was similar for the outcome of osteoporotic fracture (HR = 1.87; 95% CI = 1.69-2.07), major osteoporotic fracture (HR = 1.83; 95% CI = 1.63-2.06), or for hip fracture (HR = 1.82; 95% CI = 1.62-2.06). There was no significant difference in risk ratio between men and women. Subsequent fracture risk was marginally downward adjusted when account was taken of BMD. Low BMD explained a minority of the risk for any clinical fracture (14%), osteoporotic fracture (17%), and for hip fracture (33%). The risk ratio for all fracture outcomes related to prior fracture decreased significantly with adjustment for age and time since baseline examination. CONCLUSION A previous history of fracture confers an increased risk of fracture of substantial importance beyond that explained by BMD. The effect is similar in men and women. Its quantitation on an international basis permits the more accurate use of this risk factor in case finding strategies.
Collapse
Affiliation(s)
- J A Kanis
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia.
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK.
| | - H Johansson
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - E V McCloskey
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
- MRC Versus Arthritis Centre for Integrated research in Musculoskeletal Ageing, Mellanby Centre for Musculoskeletal Research, University of Sheffield, Sheffield, UK
| | - E Liu
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - K E Åkesson
- Clinical and Molecular Osteoporosis Research Unit, Department of Clinical Sciences, Lund University, Lund, Sweden
- Department of Orthopedics, Skåne University Hospital, Malmö, Sweden
| | - F A Anderson
- GLOW Coordinating Center, Center for Outcomes Research, University of Massachusetts Medical School, Worcester, MA, USA
| | - R Azagra
- Department of Medicine, Autonomous University of Barcelona, Barcelona, Spain
- Health Centre Badia del Valles, Catalan Institute of Health, Barcelona, Spain
- PRECIOSA-Fundación para la investigación, Barberà del Vallés, Barcelona, Spain
| | - C L Bager
- Nordic Bioscience A/S, Herlev, Denmark
| | - C Beaudart
- WHO Collaborating Centre for Public Health Aspects of Musculoskeletal Health and Aging, Division of Public Health, Epidemiology and Health Economics, University of Liège, Liège, Belgium
- Department of Health Services Research, University of Maastricht, Maastricht, the Netherlands
| | - H A Bischoff-Ferrari
- Department of Aging Medicine and Aging Research, University Hospital, Zurich, and University of Zurich, Zurich, Switzerland
- Centre on Aging and Mobility, University of Zurich and City Hospital, Zurich, Switzerland
| | - E Biver
- Division of Bone Diseases, Department of Medicine, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - O Bruyère
- WHO Collaborating Centre for Public Health Aspects of Musculoskeletal Health and Aging, Division of Public Health, Epidemiology and Health Economics, University of Liège, Liège, Belgium
| | - J A Cauley
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, Philadelphia, USA
| | - J R Center
- Skeletal Diseases Program, Garvan Institute of Medical Research, Sydney, NSW, Australia
- St Vincent's Clinical School, School of Medicine and Health, University of New South Wales Sydney, Sydney, NSW, Australia
- School of Medicine Sydney, University of Notre Dame Australia, Sydney, NSW, Australia
| | - R Chapurlat
- INSERM UMR 1033, Université Claude Bernard-Lyon1, Hôpital Edouard Herriot, Lyon, France
| | | | - C Cooper
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospitals Southampton NHS Foundation Trust, Southampton, UK
- NIHR Oxford Biomedical Research Unit, University of Oxford, Oxford, UK
| | - C J Crandall
- Division of General Internal Medicine and Health Services Research, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - S R Cummings
- San Francisco Coordinating Center, California Pacific Medical Center Research Institute, San Francisco, CA, USA
| | - J A P da Silva
- Coimbra Institute for Clinical and Biomedical Research, Faculty of Medicine, University of Coimbra, Coimbra, Portugal
- Rheumatology Department, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
| | - B Dawson-Hughes
- Bone Metabolism Laboratory, Jean Mayer US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
| | - A Diez-Perez
- Department of Internal Medicine, Hospital del Mar and CIBERFES, Autonomous University of Barcelona, Barcelona, Spain
| | - A B Dufour
- Marcus Institute for Aging Research, Hebrew Senior Life, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - J A Eisman
- Skeletal Diseases Program, Garvan Institute of Medical Research, Sydney, NSW, Australia
- St Vincent's Clinical School, School of Medicine and Health, University of New South Wales Sydney, Sydney, NSW, Australia
- School of Medicine Sydney, University of Notre Dame Australia, Sydney, NSW, Australia
| | - P J M Elders
- Petra JM Elders Department of General Practice, Amsterdam UMC, location AMC, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - S Ferrari
- Division of Bone Diseases, Department of Medicine, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Y Fujita
- Center for Medical Education and Clinical Training, Kindai University Faculty of Medicine, Osaka, Japan
| | - S Fujiwara
- Department of Pharmacy, Yasuda Women's University, Hiroshima, Japan
| | - C-C Glüer
- Section Biomedical Imaging, Molecular Imaging North Competence Center, Department of Radiology and Neuroradiology, University Medical Center Schleswig-Holstein Kiel, Kiel University, Kiel, Germany
| | - I Goldshtein
- Maccabitech Institute of Research and Innovation, Maccabi Healthcare Services, Tel Aviv, Israel
- Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - D Goltzman
- Department of Medicine, McGill University and McGill University Health Centre, Montreal, Canada
| | - V Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- University of Iceland, Reykjavik, Iceland
| | - J Hall
- MRC Centre for Reproductive Health, University of Edinburgh, Edinburgh, UK
| | - D Hans
- Interdisciplinary Centre of Bone Diseases, Bone and Joint Department, Lausanne University Hospital (CHUV) & University of Lausanne, Lausanne, Switzerland
| | - M Hoff
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Rheumatology, St Olavs Hospital, Trondheim, Norway
| | - R J Hollick
- Aberdeen Centre for Arthritis and Musculoskeletal Health, Epidemiology Group, University of Aberdeen, Aberdeen, UK
| | - M Huisman
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, The Netherlands
- Department of Sociology, VU University, Amsterdam, The Netherlands
| | - M Iki
- Department of Public Health, Kindai University Faculty of Medicine, Osaka, Japan
| | - S Ish-Shalom
- Endocrine Clinic, Elisha Hospital, Haifa, Israel
| | - G Jones
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - M K Karlsson
- Clinical and Molecular Osteoporosis Research Unit, Department of Clinical Sciences, Lund University, Lund, Sweden
- Department of Orthopedics, Skåne University Hospital, Malmö, Sweden
| | - S Khosla
- Robert and Arlene Kogod Center on Aging and Division of Endocrinology, Mayo Clinic College of Medicine, Mayo Clinic, Rochester, MN, USA
| | - D P Kiel
- Marcus Institute for Aging Research, Hebrew Senior Life, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - W-P Koh
- Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research (A*STAR), Singapore, Singapore
| | - F Koromani
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - M A Kotowicz
- IMPACT (Institute for Mental and Physical Health and Clinical Translation), Deakin University, Geelong, Victoria, Australia
- Barwon Health, Geelong, Victoria, Australia
- Department of Medicine -Western Health, The University of Melbourne, St Albans, Victoria, Australia
| | - H Kröger
- Department of Orthopedics and Traumatology, Kuopio University Hospital, Kuopio, Finland
- Kuopio Musculoskeletal Research Unit, University of Eastern Finland, Kuopio, Finland
| | - T Kwok
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, Hong Kong
- Jockey Club Centre for Osteoporosis Care and Control, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, Hong Kong
| | - O Lamy
- Centre of Bone Diseases, Lausanne University Hospital, Lausanne, Switzerland
- Service of Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - A Langhammer
- HUNT Research Centre, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - B Larijani
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - K Lippuner
- Department of Osteoporosis, Bern University Hospital, University of Bern, Bern, Switzerland
| | - D Mellström
- Geriatric Medicine, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Geriatric Medicine, Sahlgrenska University Hospital Mölndal, Mölndal, Sweden
| | - T Merlijn
- Department of General Practice, Amsterdam UMC, location AMC, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - A Nordström
- School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, Norway
- Department of Health Sciences, Swedish Winter Sports Research Centre, Mid Sweden University, Östersund, Sweden
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - P Nordström
- Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden
| | - T W O'Neill
- National Institute for Health Research Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Centre for Epidemiology Versus Arthritis, University of Manchester, Manchester, UK
| | - B Obermayer-Pietsch
- Department of Internal Medicine, Division of Endocrinology and Diabetology, Medical University Graz, Graz, Austria
- Center for Biomarker Research in Medicine, Graz, Austria
| | - C Ohlsson
- Sahlgrenska Osteoporosis Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Drug Treatment, Sahlgrenska University Hospital, Region Västra Götaland, Gothenburg, Sweden
| | - E S Orwoll
- Department of Medicine, Oregon Health and Science University, Portland, OR, USA
| | - J A Pasco
- IMPACT (Institute for Mental and Physical Health and Clinical Translation), Deakin University, Geelong, Victoria, Australia
- Barwon Health, Geelong, Victoria, Australia
- Department of Medicine -Western Health, The University of Melbourne, St Albans, Victoria, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia
| | - F Rivadeneira
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - A-M Schott
- Université Claude Bernard Lyon 1, U INSERM 1290 RESHAPE, Lyon, France
| | - E J Shiroma
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Baltimore, MD, USA
| | - K Siggeirsdottir
- Icelandic Heart Association, Kopavogur, Iceland
- Janus Rehabilitation, Reykjavik, Iceland
| | - E M Simonsick
- Translational Gerontology Branch, National Institute on Aging Intramural Research Program, Baltimore, MD, USA
| | - E Sornay-Rendu
- INSERM UMR 1033, University of Lyon, Hôpital Edouard Herriot, Lyon, France
| | - R Sund
- Kuopio Musculoskeletal Research Unit, University of Eastern Finland, Kuopio, Finland
| | - K M A Swart
- Petra JM Elders Department of General Practice, Amsterdam UMC, location AMC, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
- PHARMO Institute for Drug Outcomes Research, Utrecht, The Netherlands
| | - P Szulc
- INSERM UMR 1033, University of Lyon, Hôpital Edouard Herriot, Lyon, France
| | - J Tamaki
- Department of Hygiene and Public Health, Faculty of Medicine, Educational Foundation of Osaka Medical and Pharmaceutical University, Osaka, Japan
| | - D J Torgerson
- York Trials Unit, Department of Health Sciences, University of York, York, UK
| | - N M van Schoor
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, The Netherlands
| | - T P van Staa
- Centre for Health Informatics, Faculty of Biology, Medicine and Health, School of Health Sciences, University of Manchester, Manchester, UK
| | - J Vila
- Statistics Support Unit, Hospital del Mar Medical Research Institute, CIBER Epidemiology and Public Health (CIBERESP), Barcelona, Spain
| | - N J Wareham
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - N C Wright
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - N Yoshimura
- Department of Preventive Medicine for Locomotive Organ Disorders, The University of Tokyo Hospital, Tokyo, Japan
| | - M C Zillikens
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - M Zwart
- PRECIOSA-Fundación para la investigación, Barberà del Vallés, Barcelona, Spain
- Health Center Can Gibert del Plà, Catalan Institute of Health, Girona, Spain
- Department of Medical Sciences, University of Girona, Girona, Spain
- GROIMAP/GROICAP (research groups), Unitat de Suport a la Recerca Girona, Institut Universitari d'Investigació en Atenció Primària Jordi Gol, Girona, Spain
| | - L Vandenput
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Sahlgrenska Osteoporosis Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - N C Harvey
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospitals Southampton NHS Foundation Trust, Southampton, UK
| | - M Lorentzon
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - W D Leslie
- Department of Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
| |
Collapse
|
15
|
Keshawarz A, Joehanes R, Ma J, Lee GY, Costeira R, Tsai PC, Masachs OM, Bell JT, Wilson R, Thorand B, Winkelmann J, Peters A, Linseisen J, Waldenberger M, Lehtimäki T, Mishra PP, Kähönen M, Raitakari O, Helminen M, Wang CA, Melton PE, Huang RC, Pennell CE, O’Sullivan TA, Ochoa-Rosales C, Voortman T, van Meurs JB, Young KL, Graff M, Wang Y, Kiel DP, Smith CE, Jacques PF, Levy D. Dietary and supplemental intake of vitamins C and E is associated with altered DNA methylation in an epigenome-wide association study meta-analysis. Epigenetics 2023; 18:2211361. [PMID: 37233989 PMCID: PMC10228397 DOI: 10.1080/15592294.2023.2211361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Accepted: 04/28/2023] [Indexed: 05/27/2023] Open
Abstract
BACKGROUND Dietary intake of antioxidants such as vitamins C and E protect against oxidative stress, and may also be associated with altered DNA methylation patterns. METHODS We meta-analysed epigenome-wide association study (EWAS) results from 11,866 participants across eight population-based cohorts to evaluate the association between self-reported dietary and supplemental intake of vitamins C and E with DNA methylation. EWAS were adjusted for age, sex, BMI, caloric intake, blood cell type proportion, smoking status, alcohol consumption, and technical covariates. Significant results of the meta-analysis were subsequently evaluated in gene set enrichment analysis (GSEA) and expression quantitative trait methylation (eQTM) analysis. RESULTS In meta-analysis, methylation at 4,656 CpG sites was significantly associated with vitamin C intake at FDR ≤ 0.05. The most significant CpG sites associated with vitamin C (at FDR ≤ 0.01) were enriched for pathways associated with systems development and cell signalling in GSEA, and were associated with downstream expression of genes enriched in the immune response in eQTM analysis. Furthermore, methylation at 160 CpG sites was significantly associated with vitamin E intake at FDR ≤ 0.05, but GSEA and eQTM analysis of the top most significant CpG sites associated with vitamin E did not identify significant enrichment of any biological pathways investigated. CONCLUSIONS We identified significant associations of many CpG sites with vitamin C and E intake, and our results suggest that vitamin C intake may be associated with systems development and the immune response.
Collapse
Affiliation(s)
| | - Roby Joehanes
- Framingham Heart Study, Framingham, Framingham, MA, USA
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jiantao Ma
- Framingham Heart Study, Framingham, Framingham, MA, USA
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | - Gha Young Lee
- Framingham Heart Study, Framingham, Framingham, MA, USA
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Ricardo Costeira
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Pei-Chien Tsai
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
- Department of Biomedical Sciences, Chang Gung University, Taoyuan, Taiwan
- Genomic Medicine Research Core Laboratory, Chang Gung Memorial Hospital, Linkou, Taiwan
| | - Olatz M. Masachs
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Jordana T. Bell
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Rory Wilson
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, Ingolstädter Landstrasse 1, Neuherberg, Germany
| | - Barbara Thorand
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, München, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Juliane Winkelmann
- Institute of Neurogenomics, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- Institute of Human Genetics, School of Medicine, Technical University of Munich, Munich, Germany
- Chair of Neurogenetics, School of Medicine, Technical University of Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, München, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
- Chair of Epidemiology, Medical Faculty, Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-Universität München, Munich, Germany
- German Center for Cardiovascular Research (DZHK), München Heart Alliance, Munich, Germany
| | - Jakob Linseisen
- Chair of Epidemiology, University Augsburg at University Hospital Augsburg, Augsburg, Germany
| | - Melanie Waldenberger
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, Ingolstädter Landstrasse 1, Neuherberg, Germany
- German Center for Cardiovascular Research (DZHK), München Heart Alliance, Munich, Germany
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
| | - Pashupati P. Mishra
- Department of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
| | - Mika Kähönen
- Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Department of Clinical Physiology, Tampere University Hospital, Tampere, Finland
| | - Olli Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Mika Helminen
- Tays Research Services, Tampere University Hospital, Tampere, Finland
- Faculty of Social Sciences, Health Sciences, Tampere University, Tampere, Finland
| | - Carol A. Wang
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Newcastle, New South Wales, Australia
- Hunter Medical Research Institute, Newcastle, New South Wales, Australia
| | - Phillip E. Melton
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
- School of Population and Global Health, University of Western Australia, Perth, Australia
| | - Rae-Chi Huang
- Nutrition & Health Innovation Research Institute, Edith Cowan University, Perth, Australia
| | - Craig E. Pennell
- Faculty of Social Sciences, Health Sciences, Tampere University, Tampere, Finland
- Hunter Medical Research Institute, Newcastle, New South Wales, Australia
| | | | - Carolina Ochoa-Rosales
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
- Centro de Vida Saludable, Universidad de Concepción, Concepción, Chile
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Joyce B.J. van Meurs
- Department of Internal Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Kristin L. Young
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Hebrew Senior Life, Chapel Hill, North Carolina, USA
| | - Misa Graff
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Hebrew Senior Life, Chapel Hill, North Carolina, USA
| | - Yujie Wang
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Hebrew Senior Life, Chapel Hill, North Carolina, USA
| | - Douglas P. Kiel
- Department of Medicine, Beth Israel Deaconess Medical Center, Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Caren E. Smith
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
| | - Paul F. Jacques
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
| | - Daniel Levy
- Framingham Heart Study, Framingham, Framingham, MA, USA
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| |
Collapse
|
16
|
Via JD, Gebre AK, Smith C, Gilani Z, Suter D, Sharif N, Szulc P, Schousboe JT, Kiel DP, Zhu K, Leslie WD, Prince RL, Lewis JR, Sim M. Machine-Learning Assessed Abdominal Aortic Calcification is Associated with Long-Term Fall and Fracture Risk in Community-Dwelling Older Australian Women. J Bone Miner Res 2023; 38:1867-1876. [PMID: 37823606 PMCID: PMC10842308 DOI: 10.1002/jbmr.4921] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 09/14/2023] [Accepted: 10/10/2023] [Indexed: 10/13/2023]
Abstract
Abdominal aortic calcification (AAC), a recognized measure of advanced vascular disease, is associated with higher cardiovascular risk and poorer long-term prognosis. AAC can be assessed on dual-energy X-ray absorptiometry (DXA)-derived lateral spine images used for vertebral fracture assessment at the time of bone density screening using a validated 24-point scoring method (AAC-24). Previous studies have identified robust associations between AAC-24 score, incident falls, and fractures. However, a major limitation of manual AAC assessment is that it requires a trained expert. Hence, we have developed an automated machine-learning algorithm for assessing AAC-24 scores (ML-AAC24). In this prospective study, we evaluated the association between ML-AAC24 and long-term incident falls and fractures in 1023 community-dwelling older women (mean age, 75 ± 3 years) from the Perth Longitudinal Study of Ageing Women. Over 10 years of follow-up, 253 (24.7%) women experienced a clinical fracture identified via self-report every 4-6 months and verified by X-ray, and 169 (16.5%) women had a fracture hospitalization identified from linked hospital discharge data. Over 14.5 years, 393 (38.4%) women experienced an injurious fall requiring hospitalization identified from linked hospital discharge data. After adjusting for baseline fracture risk, women with moderate to extensive AAC (ML-AAC24 ≥ 2) had a greater risk of clinical fractures (hazard ratio [HR] 1.42; 95% confidence interval [CI], 1.10-1.85) and fall-related hospitalization (HR 1.35; 95% CI, 1.09-1.66), compared to those with low AAC (ML-AAC24 ≤ 1). Similar to manually assessed AAC-24, ML-AAC24 was not associated with fracture hospitalizations. The relative hazard estimates obtained using machine learning were similar to those using manually assessed AAC-24 scores. In conclusion, this novel automated method for assessing AAC, that can be easily and seamlessly captured at the time of bone density testing, has robust associations with long-term incident clinical fractures and injurious falls. However, the performance of the ML-AAC24 algorithm needs to be verified in independent cohorts. © 2023 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).
Collapse
Affiliation(s)
- Jack Dalla Via
- Nutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Perth, Western Australia, Australia
| | - Abadi K Gebre
- Nutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Perth, Western Australia, Australia
- School of Pharmacy, College of Health Sciences, Mekelle University, Mekelle, Tigray
| | - Cassandra Smith
- Nutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Perth, Western Australia, Australia
- Medical School, The University of Western Australia, Perth, Western Australia, Australia
| | - Zulqarnain Gilani
- Nutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Perth, Western Australia, Australia
- Centre for Artificial Intelligence and Machine Learning, School of Science, Edith Cowan University, Perth, Western Australia, Australia
| | - David Suter
- Nutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Perth, Western Australia, Australia
- Centre for Artificial Intelligence and Machine Learning, School of Science, Edith Cowan University, Perth, Western Australia, Australia
| | - Naeha Sharif
- Nutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Perth, Western Australia, Australia
- Centre for Artificial Intelligence and Machine Learning, School of Science, Edith Cowan University, Perth, Western Australia, Australia
- Department of Computer Science and Software Engineering, the University of Western Australia, Perth, Western Australia, Australia
| | - Pawel Szulc
- INSERM UMR 1033, University of Lyon, Hospices Civils de Lyon, Lyon, France
| | - John T Schousboe
- Park Nicollet Clinic and HealthPartners Institute, HealthPartners, Minneapolis, USA and Division of Health Policy and Management, University of Minnesota, Minneapolis, USA
| | - Douglas P Kiel
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew Senior Life, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Kun Zhu
- Medical School, The University of Western Australia, Perth, Western Australia, Australia
- Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Perth, Western Australia, Australia
| | - William D. Leslie
- Departments of Medicine and Radiology, University of Manitoba, Winnipeg, Canada
| | - Richard L Prince
- Nutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Perth, Western Australia, Australia
- Medical School, The University of Western Australia, Perth, Western Australia, Australia
| | - Joshua R Lewis
- Nutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Perth, Western Australia, Australia
- Medical School, The University of Western Australia, Perth, Western Australia, Australia
- Centre for Kidney Research, Children’s Hospital at Westmead School of Public Health, Sydney Medical School, The University of Sydney, Sydney, New South Wales, Australia
| | - Marc Sim
- Nutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Perth, Western Australia, Australia
- Medical School, The University of Western Australia, Perth, Western Australia, Australia
| |
Collapse
|
17
|
Hayes KN, Zhang T, Kim DH, Daiello LA, Lee Y, Kiel DP, Berry SD, Zullo AR. Benefits and Harms of Standard Versus Reduced-Dose Direct Oral Anticoagulant Therapy for Older Adults With Multiple Morbidities and Atrial Fibrillation. J Am Heart Assoc 2023; 12:e029865. [PMID: 37929769 PMCID: PMC10727413 DOI: 10.1161/jaha.122.029865] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 08/04/2023] [Indexed: 11/07/2023]
Abstract
Background Dose reduction of direct oral anticoagulant (DOAC) medications is inconsistently applied to older adults with multiple morbidities, potentially due to perceived harms and unknown benefits of standard dosing. Methods and Results Using 2013 to 2017 US Medicare claims linked to Minimum Data Set records, we conducted a retrospective cohort study. We identified DOAC initiators (apixaban, dabigatran, rivaroxaban) aged ≥65 years with nonvalvular atrial fibrillation residing in a nursing home. We estimated inverse-probability of treatment weights for DOAC dose using propensity scores. We examined safety (hospitalization for major bleeding) and effectiveness outcomes (all-cause mortality, thrombosis [myocardial infarction, stroke, systemic embolism, venous thromboembolism]). We estimated hazard ratios (HRs) and 95% CIs using cause-specific hazard-regression models. Of 21 878 DOAC initiators, 48% received reduced dosing. The mean age of residents was 82.0 years, 66% were female, and 31% had moderate/severe cognitive impairment. After estimating inverse-probability of treatment weights, standard dosing was associated with a higher rate of bleeding (HR, 1.18 [95% CI, 1.03-1.37]; 9.4 versus 8.0 events per 100 person-years). Standard-dose therapy was associated with the highest rates of bleeding among those aged >80 years (9.1 versus 6.7 events per 100 person-years) and with a body mass index <30 kg/m2 (9.4 versus 7.4 events per 100 person-years). There was no association of dosing with mortality (HR, 0.99 [95% CI, 0.96-1.06]) or thrombotic events (HR, 1.16 [95% CI, 0.96-1.41]). Conclusions In this nationwide study of nursing home residents with nonvalvular atrial fibrillation, we found a higher rate of bleeding and little difference in effectiveness of standard versus reduced-dose DOAC treatment. Our results support the use of reduced-dose DOACs for many older adults with multiple morbidities.
Collapse
Affiliation(s)
- Kaleen N. Hayes
- Department of Health Services, Policy, and PracticeBrown University School of Public HealthProvidenceRI
- Graduate Department of Pharmaceutical SciencesUniversity of Toronto Leslie Dan Faculty of PharmacyTorontoONCanada
| | - Tingting Zhang
- Department of Health Services, Policy, and PracticeBrown University School of Public HealthProvidenceRI
| | - Dae Hyun Kim
- Hinda and Arthur Marcus Institute for Aging ResearchHebrew SeniorLife and Harvard Medical SchoolBostonMA
- Division of Gerontology, Department of MedicineBeth Israel Deaconess Medical Center and Harvard Medical SchoolBostonMA
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of MedicineBrigham and Women’s Hospital and Harvard Medical SchoolBostonMA
| | - Lori A. Daiello
- Department of Health Services, Policy, and PracticeBrown University School of Public HealthProvidenceRI
- Department of NeurologyWarren Alpert Medical School of Brown University and Alzheimer’s Disease and Memory Disorders Center At Rhode Island HospitalProvidenceRI
| | - Yoojin Lee
- Department of Health Services, Policy, and PracticeBrown University School of Public HealthProvidenceRI
| | - Douglas P. Kiel
- Hinda and Arthur Marcus Institute for Aging ResearchHebrew SeniorLife and Harvard Medical SchoolBostonMA
| | - Sarah D. Berry
- Hinda and Arthur Marcus Institute for Aging ResearchHebrew SeniorLife and Harvard Medical SchoolBostonMA
| | - Andrew R. Zullo
- Department of Health Services, Policy, and PracticeBrown University School of Public HealthProvidenceRI
- Department of EpidemiologyBrown University School of Public HealthProvidenceRI
- Center of Innovation in Long‐Term Services and SupportsProvidence Veterans Affairs Medical CenterProvidenceRI
| |
Collapse
|
18
|
Okoro PC, Orwoll ES, Huttenhower C, Morgan X, Kuntz TM, McIver LJ, Dufour AB, Bouxsein ML, Langsetmo L, Farsijani S, Kado DM, Pacifici R, Sahni S, Kiel DP. A two-cohort study on the association between the gut microbiota and bone density, microarchitecture, and strength. Front Endocrinol (Lausanne) 2023; 14:1237727. [PMID: 37810879 PMCID: PMC10551180 DOI: 10.3389/fendo.2023.1237727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Accepted: 08/24/2023] [Indexed: 10/10/2023] Open
Abstract
The gut microbiome affects the inflammatory environment through effects on T-cells, which influence the production of immune mediators and inflammatory cytokines that stimulate osteoclastogenesis and bone loss in mice. However, there are few large human studies of the gut microbiome and skeletal health. We investigated the association between the human gut microbiome and high resolution peripheral quantitative computed tomography (HR-pQCT) scans of the radius and tibia in two large cohorts; Framingham Heart Study (FHS [n=1227, age range: 32 - 89]), and the Osteoporosis in Men Study (MrOS [n=836, age range: 78 - 98]). Stool samples from study participants underwent amplification and sequencing of the V4 hypervariable region of the 16S rRNA gene. The resulting 16S rRNA sequencing data were processed separately for each cohort, with the DADA2 pipeline incorporated in the16S bioBakery workflow. Resulting amplicon sequence variants were assigned taxonomies using the SILVA reference database. Controlling for multiple covariates, we tested for associations between microbial taxa abundances and HR-pQCT measures using general linear models as implemented in microbiome multivariable association with linear model (MaAslin2). Abundance of 37 microbial genera in FHS, and 4 genera in MrOS, were associated with various skeletal measures (false discovery rate [FDR] ≤ 0.1) including the association of DTU089 with bone measures, which was independently replicated in the two cohorts. A meta-analysis of the taxa-bone associations further revealed (FDR ≤ 0.25) that greater abundances of the genera; Akkermansia and DTU089, were associated with lower radius total vBMD, and tibia cortical vBMD respectively. Conversely, higher abundances of the genera; Lachnospiraceae NK4A136 group, and Faecalibacterium were associated with greater tibia cortical vBMD. We also investigated functional capabilities of microbial taxa by testing for associations between predicted (based on 16S rRNA amplicon sequence data) metabolic pathways abundance and bone phenotypes in each cohort. While there were no concordant functional associations observed in both cohorts, a meta-analysis revealed 8 pathways including the super-pathway of histidine, purine, and pyrimidine biosynthesis, associated with bone measures of the tibia cortical compartment. In conclusion, our findings suggest that there is a link between the gut microbiome and skeletal metabolism.
Collapse
Affiliation(s)
- Paul C. Okoro
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, United States
| | - Eric S. Orwoll
- Department of Medicine, Oregon Health & Sciences University, Portland, OR, United States
| | - Curtis Huttenhower
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, United States
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, United States
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, United States
| | - Xochitl Morgan
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Thomas M. Kuntz
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Lauren J. McIver
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Alyssa B. Dufour
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, United States
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
| | - Mary L. Bouxsein
- Endocrine Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Department of Orthopedic Surgery, Harvard Medical School and Center for Advanced Orthopedic Studies, Beth Israel Deaconess Medical Center, Boston, MA, United States
| | - Lisa Langsetmo
- Center for Care Delivery and Outcomes Research, Minneapolis Veterans Affairs (VA) Health Care System, Minneapolis, MN, United States
- Department of Medicine, University of Minnesota, Minneapolis, MN, United States
| | - Samaneh Farsijani
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, United States
- Center for Aging and Population Health, University of Pittsburgh, Pittsburgh, PA, United States
| | - Deborah M. Kado
- Department of Medicine, Stanford University, Stanford, CA, United States
- Geriatric Research Education and Clinical Center (GRECC), VA Health System, Palo Alto, CA, United States
| | - Roberto Pacifici
- Division of Endocrinology, Metabolism and Lipids, Department of Medicine, Emory University School of Medicine, Atlanta, GA, United States
| | - Shivani Sahni
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, United States
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
| | - Douglas P. Kiel
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, United States
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
| |
Collapse
|
19
|
Whittier DE, Samelson EJ, Hannan MT, Burt LA, Hanley DA, Biver E, Szulc P, Sornay-Rendu E, Merle B, Chapurlat R, Lespessailles E, Wong AKO, Goltzman D, Khosla S, Ferrari S, Bouxsein ML, Kiel DP, Boyd SK. A Fracture Risk Assessment Tool for High Resolution Peripheral Quantitative Computed Tomography. J Bone Miner Res 2023; 38:1234-1244. [PMID: 37132542 PMCID: PMC10523935 DOI: 10.1002/jbmr.4808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 02/10/2023] [Accepted: 03/21/2023] [Indexed: 05/04/2023]
Abstract
Most fracture risk assessment tools use clinical risk factors combined with bone mineral density (BMD) to improve assessment of osteoporosis; however, stratifying fracture risk remains challenging. This study developed a fracture risk assessment tool that uses information about volumetric bone density and three-dimensional structure, obtained using high-resolution peripheral quantitative compute tomography (HR-pQCT), to provide an alternative approach for patient-specific assessment of fracture risk. Using an international prospective cohort of older adults (n = 6802) we developed a tool to predict osteoporotic fracture risk, called μFRAC. The model was constructed using random survival forests, and input predictors included HR-pQCT parameters summarizing BMD and microarchitecture alongside clinical risk factors (sex, age, height, weight, and prior adulthood fracture) and femoral neck areal BMD (FN aBMD). The performance of μFRAC was compared to the Fracture Risk Assessment Tool (FRAX) and a reference model built using FN aBMD and clinical covariates. μFRAC was predictive of osteoporotic fracture (c-index = 0.673, p < 0.001), modestly outperforming FRAX and FN aBMD models (c-index = 0.617 and 0.636, respectively). Removal of FN aBMD and all clinical risk factors, except age, from μFRAC did not significantly impact its performance when estimating 5-year and 10-year fracture risk. The performance of μFRAC improved when only major osteoporotic fractures were considered (c-index = 0.733, p < 0.001). We developed a personalized fracture risk assessment tool based on HR-pQCT that may provide an alternative approach to current clinical methods by leveraging direct measures of bone density and structure. © 2023 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).
Collapse
Affiliation(s)
- Danielle E Whittier
- McCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Elizabeth J Samelson
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew Senior Life, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Marian T Hannan
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew Senior Life, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Lauren A Burt
- McCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - David A Hanley
- McCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Emmanuel Biver
- Division of Bone Diseases, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Pawel Szulc
- INSERM UMR1033, Université de Lyon, Hôpital Edouard Herriot, Lyon, France
| | | | - Blandine Merle
- INSERM UMR1033, Université de Lyon, Hôpital Edouard Herriot, Lyon, France
| | - Roland Chapurlat
- INSERM UMR1033, Université de Lyon, Hôpital Edouard Herriot, Lyon, France
| | - Eric Lespessailles
- Regional Hospital of Orleans, PRIMMO and EA 4708-I3MTO, University of Orleans, Orleans, France
| | - Andy Kin On Wong
- Joint Department of Medical Imaging, University Health Network, Dalla Lana School of Public Health, University of Toronto, Toronto, CA, USA
- Department of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, CA, USA
| | - David Goltzman
- Department of Medicine, McGill University and McGill University Health Centre, Montreal, QC, Canada
| | - Sundeep Khosla
- Kogod Center on Aging and Division of Endocrinology, Mayo Clinic, Rochester, MN, USA
| | - Serge Ferrari
- Division of Bone Diseases, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Mary L Bouxsein
- Center for Advanced Orthopedic Studies, BIDMC, Harvard Medical School, Boston, MA, USA
- Endocrine Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Orthopedic Surgery, Harvard Medical School, Boston, MA, USA
| | - Douglas P Kiel
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew Senior Life, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Steven K Boyd
- McCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| |
Collapse
|
20
|
Sing CW, Lin TC, Bartholomew S, Bell JS, Bennett C, Beyene K, Bosco-Levy P, Bradbury BD, Chan AHY, Chandran M, Cooper C, de Ridder M, Doyon CY, Droz-Perroteau C, Ganesan G, Hartikainen S, Ilomaki J, Jeong HE, Kiel DP, Kubota K, Lai ECC, Lange JL, Lewiecki EM, Lin J, Liu J, Maskell J, de Abreu MM, O'Kelly J, Ooba N, Pedersen AB, Prats-Uribe A, Prieto-Alhambra D, Qin SX, Shin JY, Sørensen HT, Tan KB, Thomas T, Tolppanen AM, Verhamme KMC, Wang GHM, Watcharathanakij S, Wood SJ, Cheung CL, Wong ICK. Global Epidemiology of Hip Fractures: Secular Trends in Incidence Rate, Post-Fracture Treatment, and All-Cause Mortality. J Bone Miner Res 2023; 38:1064-1075. [PMID: 37118993 DOI: 10.1002/jbmr.4821] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 04/20/2023] [Accepted: 04/26/2023] [Indexed: 04/30/2023]
Abstract
In this international study, we examined the incidence of hip fractures, postfracture treatment, and all-cause mortality following hip fractures, based on demographics, geography, and calendar year. We used patient-level healthcare data from 19 countries and regions to identify patients aged 50 years and older hospitalized with a hip fracture from 2005 to 2018. The age- and sex-standardized incidence rates of hip fractures, post-hip fracture treatment (defined as the proportion of patients receiving anti-osteoporosis medication with various mechanisms of action [bisphosphonates, denosumab, raloxifene, strontium ranelate, or teriparatide] following a hip fracture), and the all-cause mortality rates after hip fractures were estimated using a standardized protocol and common data model. The number of hip fractures in 2050 was projected based on trends in the incidence and estimated future population demographics. In total, 4,115,046 hip fractures were identified from 20 databases. The reported age- and sex-standardized incidence rates of hip fractures ranged from 95.1 (95% confidence interval [CI] 94.8-95.4) in Brazil to 315.9 (95% CI 314.0-317.7) in Denmark per 100,000 population. Incidence rates decreased over the study period in most countries; however, the estimated total annual number of hip fractures nearly doubled from 2018 to 2050. Within 1 year following a hip fracture, post-hip fracture treatment ranged from 11.5% (95% CI 11.1% to 11.9%) in Germany to 50.3% (95% CI 50.0% to 50.7%) in the United Kingdom, and all-cause mortality rates ranged from 14.4% (95% CI 14.0% to 14.8%) in Singapore to 28.3% (95% CI 28.0% to 28.6%) in the United Kingdom. Males had lower use of anti-osteoporosis medication than females, higher rates of all-cause mortality, and a larger increase in the projected number of hip fractures by 2050. Substantial variations exist in the global epidemiology of hip fractures and postfracture outcomes. Our findings inform possible actions to reduce the projected public health burden of osteoporotic fractures among the aging population. © 2023 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).
Collapse
Affiliation(s)
- Chor-Wing Sing
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China
| | - Tzu-Chieh Lin
- Center for Observational Research, Amgen Inc, Thousand Oaks, CA, USA
| | - Sharon Bartholomew
- Centre for Surveillance and Applied Research, Public Health Agency of Canada, Ottawa, Canada
| | - J Simon Bell
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Melbourne, Australia
| | - Corina Bennett
- Center for Observational Research, Amgen Inc, Thousand Oaks, CA, USA
| | - Kebede Beyene
- Department of Pharmaceutical and Administrative Sciences, University of Health Sciences and Pharmacy, St Louis, MO, USA
| | - Pauline Bosco-Levy
- Bordeaux PharmacoEpi, INSERM CIC-P1401, Univ. Bordeaux, Bordeaux, France
| | - Brian D Bradbury
- Center for Observational Research, Amgen Inc, Thousand Oaks, CA, USA
| | - Amy Hai Yan Chan
- School of Pharmacy, The University of Auckland, Auckland, New Zealand
| | - Manju Chandran
- Osteoporosis and Bone Metabolism Unit, Department of Endocrinology, Singapore General Hospital, Singapore, Singapore
| | - Cyrus Cooper
- Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
| | - Maria de Ridder
- Department of Medical Informatics, Erasmus Medical Center, Rotterdam, Netherlands
| | - Caroline Y Doyon
- Centre for Surveillance and Applied Research, Public Health Agency of Canada, Ottawa, Canada
| | | | | | | | - Jenni Ilomaki
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Melbourne, Australia
| | - Han Eol Jeong
- School of Pharmacy, Sungkyunkwan University, Suwon, South Korea
| | - Douglas P Kiel
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife and Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | | | - Edward Chia-Cheng Lai
- School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Jeff L Lange
- Center for Observational Research, Amgen Inc, Thousand Oaks, CA, USA
| | | | - Julian Lin
- School of Pharmacy, University of Eastern Finland, Kuopio, Finland
| | - Jiannong Liu
- Chronic Disease Research Group, Hennepin Healthcare Research Institute, Minneapolis, MN, USA
| | - Joe Maskell
- Center for Observational Research, Amgen Inc, Thousand Oaks, CA, USA
| | - Mirhelen Mendes de Abreu
- Rheumatology Service, Internal Medicine Department, School of Medicine, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - James O'Kelly
- Center for Observational Research, Amgen Inc, Thousand Oaks, CA, USA
| | - Nobuhiro Ooba
- School of Pharmacy, The Nihon University, Chiba, Japan
| | - Alma B Pedersen
- Department of Clinical Epidemiology, Aarhus University Hospital and Aarhus University, Aarhus, Denmark
| | - Albert Prats-Uribe
- Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Daniel Prieto-Alhambra
- Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Simon Xiwen Qin
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China
| | - Ju-Young Shin
- School of Pharmacy, Sungkyunkwan University, Suwon, South Korea
| | - Henrik T Sørensen
- Department of Clinical Epidemiology, Aarhus University Hospital and Aarhus University, Aarhus, Denmark
| | - Kelvin Bryan Tan
- School of Public Health, National University of Singapore, Singapore, Singapore
| | - Tracy Thomas
- Center for Observational Research, Amgen Inc, Thousand Oaks, CA, USA
| | | | - Katia M C Verhamme
- Department of Medical Informatics, Erasmus Medical Center, Rotterdam, Netherlands
| | - Grace Hsin-Min Wang
- School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | | | - Stephen J Wood
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Melbourne, Australia
| | - Ching-Lung Cheung
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China
| | - Ian C K Wong
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China
- Research Department of Practice and Policy, University College London School of Pharmacy, London, UK
| |
Collapse
|
21
|
Sharif N, Gilani SZ, Suter D, Reid S, Szulc P, Kimelman D, Monchka BA, Jozani MJ, Hodgson JM, Sim M, Zhu K, Harvey NC, Kiel DP, Prince RL, Schousboe JT, Leslie WD, Lewis JR. Machine learning for abdominal aortic calcification assessment from bone density machine-derived lateral spine images. EBioMedicine 2023; 94:104676. [PMID: 37442671 PMCID: PMC10435763 DOI: 10.1016/j.ebiom.2023.104676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 06/08/2023] [Accepted: 06/08/2023] [Indexed: 07/15/2023] Open
Abstract
BACKGROUND Lateral spine images for vertebral fracture assessment can be easily obtained on modern bone density machines. Abdominal aortic calcification (AAC) can be scored on these images by trained imaging specialists to assess cardiovascular disease risk. However, this process is laborious and requires careful training. METHODS Training and testing of model performance of the convolutional neural network (CNN) algorithm for automated AAC-24 scoring utilised 5012 lateral spine images (2 manufacturers, 4 models of bone density machines), with trained imaging specialist AAC scores. Validation occurred in a registry-based cohort study of 8565 older men and women with images captured as part of routine clinical practice for fracture risk assessment. Cox proportional hazards models were used to estimate the association between machine-learning AAC (ML-AAC-24) scores with future incident Major Adverse Cardiovascular Events (MACE) that including death, hospitalised acute myocardial infarction or ischemic cerebrovascular disease ascertained from linked healthcare data. FINDINGS The average intraclass correlation coefficient between imaging specialist and ML-AAC-24 scores for 5012 images was 0.84 (95% CI 0.83, 0.84) with classification accuracy of 80% for established AAC groups. During a mean follow-up 4 years in the registry-based cohort, MACE outcomes were reported in 1177 people (13.7%). With increasing ML-AAC-24 scores there was an increasing proportion of people with MACE (low 7.9%, moderate 14.5%, high 21.2%), as well as individual MACE components (all p-trend <0.001). After multivariable adjustment, moderate and high ML-AAC-24 groups remained significantly associated with MACE (HR 1.54, 95% CI 1.31-1.80 & HR 2.06, 95% CI 1.75-2.42, respectively), compared to those with low ML-AAC-24. INTERPRETATION The ML-AAC-24 scores had substantial levels of agreement with trained imaging specialists, and was associated with a substantial gradient of risk for cardiovascular events in a real-world setting. This approach could be readily implemented into these clinical settings to improve identification of people at high CVD risk. FUNDING The study was supported by a National Health and Medical Research Council of Australia Ideas grant and the Rady Innovation Fund, Rady Faculty of Health Sciences, University of Manitoba.
Collapse
Affiliation(s)
- Naeha Sharif
- Nutrition & Health Innovation Research Institute, Edith Cowan University, Perth, Australia; Centre for AI&ML, School of Science, Edith Cowan University, Perth, Australia; Department of Computer Science and Software Engineering, The University of Western Australia, Perth, Australia
| | - Syed Zulqarnain Gilani
- Nutrition & Health Innovation Research Institute, Edith Cowan University, Perth, Australia; Centre for AI&ML, School of Science, Edith Cowan University, Perth, Australia
| | - David Suter
- Nutrition & Health Innovation Research Institute, Edith Cowan University, Perth, Australia; Centre for AI&ML, School of Science, Edith Cowan University, Perth, Australia
| | - Siobhan Reid
- Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, Canada
| | - Pawel Szulc
- INSERM UMR 1033, University of Lyon, Hospices Civils de Lyon, Lyon, France
| | - Douglas Kimelman
- Department of Radiology, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada
| | - Barret A Monchka
- George and Fay Yee Centre for Healthcare Innovation, University of Manitoba, Winnipeg, Canada
| | | | - Jonathan M Hodgson
- Nutrition & Health Innovation Research Institute, Edith Cowan University, Perth, Australia; Medical School, The University of Western Australia, Perth, Australia
| | - Marc Sim
- Nutrition & Health Innovation Research Institute, Edith Cowan University, Perth, Australia; Medical School, The University of Western Australia, Perth, Australia
| | - Kun Zhu
- Medical School, The University of Western Australia, Perth, Australia; Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Perth, Australia
| | - Nicholas C Harvey
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, United Kingdom; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Douglas P Kiel
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew Senior Life, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Richard L Prince
- Nutrition & Health Innovation Research Institute, Edith Cowan University, Perth, Australia; Medical School, The University of Western Australia, Perth, Australia
| | - John T Schousboe
- Park Nicollet Clinic and HealthPartners Institute, HealthPartners, Minneapolis, USA; Division of Health Policy and Management, University of Minnesota, Minneapolis, USA
| | - William D Leslie
- Departments of Medicine and Radiology, University of Manitoba, Winnipeg, Canada
| | - Joshua R Lewis
- Nutrition & Health Innovation Research Institute, Edith Cowan University, Perth, Australia; Medical School, The University of Western Australia, Perth, Australia; Centre for Kidney Research, Children's Hospital at Westmead School of Public Health, Sydney Medical School, the University of Sydney, Sydney, Australia.
| |
Collapse
|
22
|
Sahni S, Dufour AB, Wang N, Kiel DP, Hannan MT, Jacques PF, Benjamin EJ, Vasan RS, Murabito JM, Newman AB, Fielding RA, Mitchell GF, Hamburg NM. Association of Vascular Health Measures and Physical Function: A Prospective Analysis in the Framingham Heart Study. J Gerontol A Biol Sci Med Sci 2023; 78:1189-1197. [PMID: 37183502 PMCID: PMC10329234 DOI: 10.1093/gerona/glad097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Indexed: 05/16/2023] Open
Abstract
BACKGROUND Dysfunction in blood vessel dynamics may contribute to changes in muscle measures. Therefore, we examined associations of vascular health measures with grip strength and gait speed in adults from the Framingham Heart Study. METHODS The cross-sectional study (1998-2001) included participants with 1 measure of grip strength (kg, dynamometer) or gait speed (4-m walk, m/s) and at least 1 measure of aortic stiffness (carotid-femoral pulse wave velocity, brachial pulse pressure, and brachial flow pulsatility index) or brachial artery structure and function (resting flow velocity, resting brachial artery diameter, flow-mediated dilation %, hyperemic brachial blood flow velocity, and mean arterial pressure [MAP]) assessed by tonometry and brachial artery ultrasound. The longitudinal study included participants with ≥1 follow-up measurement of gait speed or grip strength. Multivariable linear regression estimated the association of 1 standard deviation (SD) higher level of each vascular measure with annualized percent change in grip strength and gait speed, adjusting for covariates. RESULTS In cross-sectional analyses (n = 2 498, age 61 ± 10 years; 56% women), higher resting brachial artery diameter (β ± standard error [SE] per 1 SD: 0.59 ± 0.24, p = .01) and MAP (β ± SE: 0.39 ± 0.17, p = .02) were associated with higher grip strength. Higher brachial pulse pressure (β ± SE: -0.02 ± 0.01, p = .07) was marginally associated with slower gait speed. In longitudinal analyses (n = 2 157), higher brachial pulse pressure (β ± SE: -0.19 ± 0.07, p = .005), was associated with slowing of gait speed but not with grip strength. CONCLUSIONS Higher brachial artery pulse pressure (measure of aortic stiffness) was associated with loss of physical function over ~11 years, although we found no evidence that microvascular function contributed to the relation.
Collapse
Affiliation(s)
- Shivani Sahni
- Hinda and Arthur Marcus Institute of Aging Research, Hebrew SeniorLife, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Alyssa B Dufour
- Hinda and Arthur Marcus Institute of Aging Research, Hebrew SeniorLife, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Na Wang
- Biostatistics and Epidemiology Data Analytics Center, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Douglas P Kiel
- Hinda and Arthur Marcus Institute of Aging Research, Hebrew SeniorLife, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Marian T Hannan
- Hinda and Arthur Marcus Institute of Aging Research, Hebrew SeniorLife, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Paul F Jacques
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, Massachusetts, USA
| | - Emelia J Benjamin
- Boston Medical Center, Boston University Chobanian & Avedisian School of Medicine and Boston University School of Public Health, Boston, Massachusetts, USA
- Framingham Heart Study, Framingham, Massachusetts, USA
| | - Ramachandran S Vasan
- Boston Medical Center, Boston University Chobanian & Avedisian School of Medicine and Boston University School of Public Health, Boston, Massachusetts, USA
- Framingham Heart Study, Framingham, Massachusetts, USA
| | | | - Anne B Newman
- Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Roger A Fielding
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, Massachusetts, USA
| | - Gary F Mitchell
- Cardiovascular Engineering, Inc., Norwood, Massachusetts, USA
| | - Naomi M Hamburg
- Boston Medical Center, Boston University Chobanian & Avedisian School of Medicine and Boston University School of Public Health, Boston, Massachusetts, USA
| |
Collapse
|
23
|
Raghupathy R, McLean RR, Kiel DP, Hannan MT, Sahni S. Higher abdominal adiposity is associated with higher lean muscle mass but lower muscle quality in middle-aged and older men and women: the Framingham Heart Study. Aging Clin Exp Res 2023; 35:1477-1485. [PMID: 37166563 PMCID: PMC10450777 DOI: 10.1007/s40520-023-02427-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Accepted: 04/26/2023] [Indexed: 05/12/2023]
Abstract
BACKGROUND The objective was to determine if abdominal fat is related to poor muscle health. METHODS This cross-sectional study included 428 males and 534 females with appendicular lean mass (ALM, kg) from dual-energy X-ray absorptiometry (DXA), grip strength (kg), and upper extremity muscle "quality" (grip strength/arm lean mass) measured (1996-2001) in the Framingham Offspring Study. Sex-specific linear regressions associated adiposity measures [waist circumference (WC, cm) and visceral adipose tissue (VAT, cm3), and subcutaneous adipose tissue (SAT, cm3)] as Z-scores with each measure of muscle, adjusting for covariates. Models were further stratified by body mass index (BMI, < 30, ≥ 30 kg/m2). RESULTS Mean (± SD) age was 60 ± 9 years and BMI was 28.9 ± 4.6 kg/m2 (men) and 27.7 ± 5.8 kg/m2, (women). In men, the BMI-stratified analyses showed higher WC was associated with higher ALM (P < 0.0001 each) but with lower muscle quality (P < 0.02) in both BMI groups. Higher SAT was also associated with higher ALM (P = 0.0002) and lower muscle quality (P = 0.0002) in men with BMI < 30, but not in obese men. In women, higher WC, SAT, and VAT were each associated with higher ALM but lower muscle quality, particularly in obese women. Higher SAT (P = 0.05) and VAT (P = 0.04) were associated with higher quadriceps strength in women with BMI < 30 kg/m2 but not in obese women. CONCLUSIONS Higher abdominal fat may be associated with greater lean mass but poorer muscle quality, particularly in obese women. This suggests that adipose tissue may have endocrine influences on muscle, which should be confirmed in longitudinal studies.
Collapse
Affiliation(s)
- Rachana Raghupathy
- Washington University School of Medicine in St. Louis, St. Louis, MO, USA
- Northeast Ohio Medical University, Rootstown, OH, USA
| | - Robert R McLean
- CorEvitas, LLC, Boston, MA, USA
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School Boston, Boston, MA, USA
| | - Douglas P Kiel
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School Boston, Boston, MA, USA
| | - Marian T Hannan
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School Boston, Boston, MA, USA
| | - Shivani Sahni
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School Boston, Boston, MA, USA.
| |
Collapse
|
24
|
Oei S, Millar CL, Nguyen Lily TN, Mukamal KJ, Kiel DP, Lipsitz LA, Hannan MT, Sahni S. Higher intake of dietary flavonols, specifically dietary quercetin, is associated with lower odds of frailty onset over 12 years of follow-up among adults in the Framingham Heart Study. Am J Clin Nutr 2023; 118:27-33. [PMID: 37061164 PMCID: PMC10447475 DOI: 10.1016/j.ajcnut.2023.04.013] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 04/03/2023] [Accepted: 04/10/2023] [Indexed: 04/17/2023] Open
Abstract
BACKGROUND Polyphenolic antioxidants derived from plant foods may reduce oxidative stress and frailty, but the effect of the polyphenol subclass of dietary flavonoids and their subclasses on frailty is uncertain. OBJECTIVES To determine the association between dietary flavonoids, their subclasses, quercetin (a specific flavonol), and frailty onset in adults. METHODS This prospective cohort study included individuals from the Framingham Heart Study with no frailty at baseline. Intake of total flavonoids, subclasses of flavonoids (flavonols, flavan-3-ols, flavonones, flavones, anthocyanins, and polymeric flavonoids), and quercetin were estimated via semi-quantitative FFQ along with frailty (Fried phenotype), and covariates at baseline (1998-2001). Frailty was re-evaluated in 2011-2014. Logistic regression estimated OR and 95% CIs for each flavonoid variable and frailty onset. RESULTS Mean age was 58.4 y (SD ± 8.3, n = 1701; 55.5% women). The mean total flavonoid intake was 309 mg/d (SD ± 266). After 12.4 (SD ± 0.8) y, 224 (13.2%) individuals developed frailty. Although total flavonoid intake was not statistically associated with frailty onset (adjusted OR: 1.00; 95% CI: 0.99-1.01), each 10 mg/d of higher flavonol intake was linked with 20% lower odds of frailty onset (OR: 0.80; 95% CI: 0.67-0.96). Other subclasses showed no association (P values range: 0.12-0.99), but every 10 mg/d of higher quercetin intake was associated with 35% lower odds of frailty onset (OR: 0.65; 95% CI: 0.48-0.88). CONCLUSIONS Although no association was observed between total flavonoid intake and frailty onset in adults, a higher intake of flavonols was associated with lower odds of frailty onset, with a particularly strong association for quercetin. This hypothesis-generating study highlights the importance of assessing specific subclasses of flavonoids and the potential of dietary flavonols and quercetin as a strategy to prevent the development of frailty.
Collapse
Affiliation(s)
- Steven Oei
- Division of Human Nutrition and Health, Wageningen University, Wageningen, the Netherlands; Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
| | - Courtney L Millar
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States; Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, United States
| | | | - Kenneth J Mukamal
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
| | - Douglas P Kiel
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States; Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, United States
| | - Lewis A Lipsitz
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States; Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, United States
| | - Marian T Hannan
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States; Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, United States
| | - Shivani Sahni
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States; Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, United States.
| |
Collapse
|
25
|
Duprey MS, Zullo AR, Gouskova NA, Lee Y, Capuano A, Kiel DP, Daiello LA, Kim DH, Berry SD. Development and validation of the fall-related injury risk in nursing homes (INJURE-NH) prediction tool. J Am Geriatr Soc 2023; 71:1851-1860. [PMID: 36883262 PMCID: PMC10258142 DOI: 10.1111/jgs.18277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 12/21/2022] [Accepted: 01/15/2023] [Indexed: 03/09/2023]
Abstract
BACKGROUND Existing models to predict fall-related injuries (FRI) in nursing homes (NH) focus on hip fractures, yet hip fractures comprise less than half of all FRIs. We developed and validated a series of models to predict the absolute risk of FRIs in NH residents. METHODS Retrospective cohort study of long-stay US NH residents (≥100 days in the same facility) between January 1, 2016 and December 31, 2017 (n = 733,427) using Medicare claims and Minimum Data Set v3.0 clinical assessments. Predictors of FRIs were selected through LASSO logistic regression in a 2/3 random derivation sample and tested in a 1/3 validation sample. Sub-distribution hazard ratios (HR) and 95% confidence intervals (95% CI) were estimated for 6-month and 2-year follow-up. Discrimination was evaluated via C-statistic, and calibration compared the predicted rate of FRI to the observed rate. To develop a parsimonious clinical tool, we calculated a score using the five strongest predictors in the Fine-Gray model. Model performance was repeated in the validation sample. RESULTS Mean (Q1, Q3) age was 85.0 (77.5, 90.6) years and 69.6% were women. Within 2 years of follow-up, 43,976 (6.0%) residents experienced ≥1 FRI. Seventy predictors were included in the model. The discrimination of the 2-year prediction model was good (C-index = 0.70), and the calibration was excellent. Calibration and discrimination of the 6-month model were similar (C-index = 0.71). In the clinical tool to predict 2-year risk, the five characteristics included independence in activities of daily living (ADLs) (HR 2.27; 95% CI 2.14-2.41) and a history of non-hip fracture (HR 2.02; 95% CI 1.94-2.12). Performance results were similar in the validation sample. CONCLUSIONS We developed and validated a series of risk prediction models that can identify NH residents at greatest risk for FRI. In NH, these models should help target preventive strategies.
Collapse
Affiliation(s)
- Matthew S. Duprey
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI 02912
- Department of Pharmacy Practice and Science, University of Kentucky College of Pharmacy, Lexington, KY 40536
| | - Andrew R. Zullo
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI 02912
- Department of Pharmacy, Lifespan Rhode Island Hospital, Providence, RI 02903
- Department of Epidemiology, Brown University School of Public Health, Providence, Rhode Island, USA
- Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, Rhode Island, USA
| | - Natalia A. Gouskova
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew Senior Life, Roslindale, MA 02131
| | - Yoojin Lee
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI 02912
| | - Alyssa Capuano
- Department of Pharmacy, Lifespan Rhode Island Hospital, Providence, RI 02903
| | - Douglas P. Kiel
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew Senior Life, Roslindale, MA 02131
- Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA 02215
| | - Lori A. Daiello
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI 02912
| | - Dae Hyun Kim
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew Senior Life, Roslindale, MA 02131
- Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA 02215
| | - Sarah D. Berry
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew Senior Life, Roslindale, MA 02131
- Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA 02215
| |
Collapse
|
26
|
Liu CT, Tsai T, Allaire BT, Bouxsein ML, Hannan MT, Travison TG, Kiel DP. Accumulation in Visceral Adipose Tissue Over 6 Years Is Associated With Lower Paraspinal Muscle Density. J Clin Endocrinol Metab 2023; 108:1348-1354. [PMID: 36546589 PMCID: PMC10368410 DOI: 10.1210/clinem/dgac744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Revised: 12/19/2022] [Accepted: 12/20/2022] [Indexed: 12/24/2022]
Abstract
CONTEXT Visceral adipose tissue (VAT) has been recognized to be a metabolically active fat depot that may have paracrine effects on surrounding tissues, including muscle. Since many adults accumulate VAT as they age, the effect of changes in VAT on muscle is of interest. OBJECTIVE We determined the association between 6-year changes in VAT and paraspinal muscle density, an indicator of fatty infiltration. METHODS This study included 1145 participants from the Framingham Study third-generation cohort who had both quantitative computed tomography scans of the spine at baseline and 6-year's follow-up, on whom muscle density was measured along with VAT. We implemented multiple regression to determine the association of muscle density at follow-up as primary outcome measure with changes in VAT (follow-up minus baseline divided by 100), adjusting for VAT at baseline, age, sex, height, menopausal status, presence of diabetes, and physical activity. Analyses were performed in men and women separately. RESULTS After adjustment for covariates, individuals with the greatest accumulation of VAT over 6 years had significantly lower paraspinal density at the follow-up with an estimated 0.302 (95% CI, -0.380 to -0.224) and 0.476 (95% CI: -0.598 to -0.354) lower muscle density (HU) per 100-cm3 increase in VAT (both P values < .001) in men and women, respectively. CONCLUSION These results highlight that age-related accumulation of VAT in men and women is associated with lower muscle density. VAT may represent a modifiable risk factor for poor musculoskeletal outcomes with aging.
Collapse
Affiliation(s)
- Ching-Ti Liu
- Department of Biostatistics, Boston University School of Public
Health, Boston, Massachusetts 02118, USA
| | - Timothy Tsai
- Hebrew SeniorLife, Hinda and Arthur Marcus Institute for Aging
Research, Boston, Massachusetts 02131, USA
| | - Brett T Allaire
- Center for Advanced Orthopedic Studies, Beth Israel Deaconess Medical
Center, Boston, Massachusetts 02115, USA
| | - Mary L Bouxsein
- Center for Advanced Orthopedic Studies, Beth Israel Deaconess Medical
Center, Boston, Massachusetts 02115, USA
- Endocrine Unit, Massachusetts General Hospital,
Boston, Massachusetts 02114, USA
- Department of Orthopedic Surgery, Harvard Medical School,
Boston, Massachusetts 02115, USA
| | - Marian T Hannan
- Hebrew SeniorLife, Hinda and Arthur Marcus Institute for Aging
Research, Boston, Massachusetts 02131, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard
Medical School, Boston, Massachusetts 02115,
USA
| | - Thomas G Travison
- Hebrew SeniorLife, Hinda and Arthur Marcus Institute for Aging
Research, Boston, Massachusetts 02131, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard
Medical School, Boston, Massachusetts 02115,
USA
| | - Douglas P Kiel
- Hebrew SeniorLife, Hinda and Arthur Marcus Institute for Aging
Research, Boston, Massachusetts 02131, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard
Medical School, Boston, Massachusetts 02115,
USA
| |
Collapse
|
27
|
Siefkas AC, Millar CL, Dufour AB, Kiel DP, Jacques PF, Hannan MT, Sahni S. Dairy Food Intake Is Not Associated With Frailty in Adults From the Framingham Heart Study. J Acad Nutr Diet 2023; 123:729-739.e1. [PMID: 36108932 PMCID: PMC10652358 DOI: 10.1016/j.jand.2022.09.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 08/30/2022] [Accepted: 09/07/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND Nutrients, including protein, calcium, and fat may be associated with risk of frailty, yet specific contributions from whole dairy foods rich in these nutrients remain understudied. OBJECTIVE To determine associations between dairy intake (milk, yogurt, cheese, total (milk + yogurt + cheese), low-fat and high-fat dairy, and servings per week) and frailty onset and frailty phenotype components. DESIGN Prospective cohort study. All dairy intake exposures (servings per week) were assessed via a food frequency questionnaire. PARTICIPANTS AND SETTING Participants (aged 33 to 86 years) from the Framingham Offspring Study who were not frail at baseline (1998-2001) completed a food frequency questionnaire and had 1 or 2 follow-up frailty assessments (2005-2008 and 2011-2014) were included. MAIN OUTCOME MEASURES Frailty was defined as the presence of ≥3 Fried frailty phenotype components: unintentional weight-loss, exhaustion, slowness (gait speed), weakness (grip strength), and low physical activity. Individuals with zero to two components were considered nonfrail. STATISTICAL ANALYSES PERFORMED Repeated measures logistic regression estimated odds ratios and 95% CIs for frailty onset. Logistic (exhaustion and weight loss) and linear regression (gait speed, grip strength, and physical activity) estimated the association between baseline dairy intake and each frailty component at follow-up, adjusting for baseline values for age, sex, energy intake (residual analysis), current smoking, and multivitamin use. Models were further adjusted for health status in a secondary analysis. RESULTS Mean baseline age ± SD was 61 ± 9 years (range = 33 to 87 years), and 54% were women. Of 2,550 nonfrail individuals at baseline, 8.8% (2005-2008) and 13.5% (2011-2014) became frail. Higher yogurt intake was associated with decreased odds of frailty (odds ratio 0.96, 95% CI 0.93 to 0.99; P = 0.02). Each additional serving of yogurt (β ± SE) .004 ± .001; P < 0.01) and low-fat dairy (β ± SE) .001 ± .0006; P = 0.04) was associated with significantly faster follow-up gait speed. Dietary intakes of high-fat dairy were associated with increased odds of frailty (odds ratio 1.02, 95% CI 1.00 to 1.04; P = 0.05), but the P value was of borderline significance. No associations were observed for other dairy foods. After adjusting for health status, the associations of high-fat dairy and yogurt with frailty became nonsignificant, although the magnitudes of the associations did not change. The association between yogurt and gait speed decreased in magnitude after adjusting for health status (β ± SE) .002 ± .001; P = 0.01). CONCLUSIONS Dietary intakes of yogurt were modestly associated with reduced frailty onset and dietary intakes of high-fat dairy had a borderline association with increased odds of frailty, but other dairy food intakes showed no association in this study of healthy adults. Some dairy food intakes were modestly associated with follow-up gait speed. However, effect sizes were small, and the clinical importance of these associations remains undetermined.
Collapse
Affiliation(s)
- Anna C Siefkas
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Courtney L Millar
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, Massachusetts; Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | - Alyssa B Dufour
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, Massachusetts; Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | - Douglas P Kiel
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, Massachusetts; Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | - Paul F Jacques
- Nutritional Epidemiology Program, Jean Mayer US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, Massachusetts; Friedman School of Nutrition, Tufts University, Boston, Massachusetts
| | - Marian T Hannan
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, Massachusetts; Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | - Shivani Sahni
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, Massachusetts; Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.
| |
Collapse
|
28
|
Bergen DJM, Maurizi A, Formosa MM, McDonald GLK, El-Gazzar A, Hassan N, Brandi ML, Riancho JA, Rivadeneira F, Ntzani E, Duncan EL, Gregson CL, Kiel DP, Zillikens MC, Sangiorgi L, Högler W, Duran I, Mäkitie O, Van Hul W, Hendrickx G. High Bone Mass Disorders: New Insights From Connecting the Clinic and the Bench. J Bone Miner Res 2023; 38:229-247. [PMID: 36161343 PMCID: PMC10092806 DOI: 10.1002/jbmr.4715] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 09/05/2022] [Accepted: 09/22/2022] [Indexed: 02/04/2023]
Abstract
Monogenic high bone mass (HBM) disorders are characterized by an increased amount of bone in general, or at specific sites in the skeleton. Here, we describe 59 HBM disorders with 50 known disease-causing genes from the literature, and we provide an overview of the signaling pathways and mechanisms involved in the pathogenesis of these disorders. Based on this, we classify the known HBM genes into HBM (sub)groups according to uniform Gene Ontology (GO) terminology. This classification system may aid in hypothesis generation, for both wet lab experimental design and clinical genetic screening strategies. We discuss how functional genomics can shape discovery of novel HBM genes and/or mechanisms in the future, through implementation of omics assessments in existing and future model systems. Finally, we address strategies to improve gene identification in unsolved HBM cases and highlight the importance for cross-laboratory collaborations encompassing multidisciplinary efforts to transfer knowledge generated at the bench to the clinic. © 2022 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).
Collapse
Affiliation(s)
- Dylan J M Bergen
- School of Physiology, Pharmacology, and Neuroscience, Faculty of Life Sciences, University of Bristol, Bristol, UK.,Musculoskeletal Research Unit, Translational Health Sciences, Bristol Medical School, Faculty of Health Sciences, University of Bristol, Bristol, UK
| | - Antonio Maurizi
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Melissa M Formosa
- Department of Applied Biomedical Science, Faculty of Health Sciences, University of Malta, Msida, Malta.,Center for Molecular Medicine and Biobanking, University of Malta, Msida, Malta
| | - Georgina L K McDonald
- School of Physiology, Pharmacology, and Neuroscience, Faculty of Life Sciences, University of Bristol, Bristol, UK
| | - Ahmed El-Gazzar
- Department of Paediatrics and Adolescent Medicine, Johannes Kepler University Linz, Linz, Austria
| | - Neelam Hassan
- Musculoskeletal Research Unit, Translational Health Sciences, Bristol Medical School, Faculty of Health Sciences, University of Bristol, Bristol, UK
| | | | - José A Riancho
- Department of Internal Medicine, Hospital U M Valdecilla, University of Cantabria, IDIVAL, Santander, Spain
| | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Evangelia Ntzani
- Department of Hygiene and Epidemiology, Medical School, University of Ioannina, Ioannina, Greece.,Center for Evidence Synthesis in Health, Policy and Practice, Center for Research Synthesis in Health, School of Public Health, Brown University, Providence, RI, USA.,Institute of Biosciences, University Research Center of loannina, University of Ioannina, Ioannina, Greece
| | - Emma L Duncan
- Department of Twin Research & Genetic Epidemiology, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.,Department of Endocrinology, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Celia L Gregson
- Musculoskeletal Research Unit, Translational Health Sciences, Bristol Medical School, Faculty of Health Sciences, University of Bristol, Bristol, UK
| | - Douglas P Kiel
- Marcus Institute for Aging Research, Hebrew SeniorLife and Department of Medicine Beth Israel Deaconess Medical Center and Harvard Medical School, Broad Institute of MIT & Harvard, Cambridge, MA, USA
| | - M Carola Zillikens
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Luca Sangiorgi
- Department of Rare Skeletal Diseases, IRCCS Rizzoli Orthopaedic Institute, Bologna, Italy
| | - Wolfgang Högler
- Department of Paediatrics and Adolescent Medicine, Johannes Kepler University Linz, Linz, Austria.,Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK
| | | | - Outi Mäkitie
- Children's Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland.,Folkhälsan Research Centre, Folkhälsan Institute of Genetics, Helsinki, Finland
| | - Wim Van Hul
- Department of Medical Genetics, University of Antwerp, Antwerp, Belgium
| | | |
Collapse
|
29
|
Khosla S, Wright NC, Elderkin AL, Kiel DP. Osteoporosis in the USA: prevention and unmet needs. Lancet Diabetes Endocrinol 2023; 11:19-20. [PMID: 36395774 DOI: 10.1016/s2213-8587(22)00322-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Sundeep Khosla
- The Kogod Center on Aging and Division of Endocrinology, Mayo Clinic, Rochester, MN, USA.
| | - Nicole C Wright
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Ann L Elderkin
- American Society for Bone and Mineral Research, Washington, DC, USA
| | - Douglas P Kiel
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Department of Medicine Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| |
Collapse
|
30
|
Gautvik KM, Sachse D, Hinton AC, Olstad OK, Kiel DP, Hsu YH, Utheim TP, Lary CW, Reppe S. In silico discovery of blood cell macromolecular associations. BMC Genom Data 2022; 23:57. [PMID: 35879676 PMCID: PMC9317115 DOI: 10.1186/s12863-022-01077-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 07/13/2022] [Indexed: 11/23/2022] Open
Abstract
Background Physical molecular interactions are the basis of intracellular signalling and gene regulatory networks, and comprehensive, accessible databases are needed for their discovery. Highly correlated transcripts may reflect important functional associations, but identification of such associations from primary data are cumbersome. We have constructed and adapted a user-friendly web application to discover and identify putative macromolecular associations in human peripheral blood based on significant correlations at the transcriptional level. Methods The blood transcriptome was characterized by quantification of 17,328 RNA species, including 341 mature microRNAs in 105 clinically well-characterized postmenopausal women. Intercorrelation of detected transcripts signal levels generated a matrix with > 150 million correlations recognizing the human blood RNA interactome. The correlations with calculated adjusted p-values were made easily accessible by a novel web application. Results We found that significant transcript correlations within the giant matrix reflect experimentally documented interactions involving select ubiquitous blood relevant transcription factors (CREB1, GATA1, and the glucocorticoid receptor (GR, NR3C1)). Their responsive genes recapitulated up to 91% of these as significant correlations, and were replicated in an independent cohort of 1204 individual blood samples from the Framingham Heart Study. Furthermore, experimentally documented mRNAs/miRNA associations were also reproduced in the matrix, and their predicted functional co-expression described. The blood transcript web application is available at http://app.uio.no/med/klinmed/correlation-browser/blood/index.php and works on all commonly used internet browsers. Conclusions Using in silico analyses and a novel web application, we found that correlated blood transcripts across 105 postmenopausal women reflected experimentally proven molecular associations. Furthermore, the associations were reproduced in a much larger and more heterogeneous cohort and should therefore be generally representative. The web application lends itself to be a useful hypothesis generating tool for identification of regulatory mechanisms in complex biological data sets. Supplementary Information The online version contains supplementary material available at 10.1186/s12863-022-01077-3.
Collapse
|
31
|
Cawthon PM, Visser M, Arai H, Ávila-Funes JA, Barazzoni R, Bhasin S, Binder E, Bruyère O, Cederholm T, Chen LK, Cooper C, Duque G, Fielding RA, Guralnik J, Kiel DP, Kirk B, Landi F, Sayer AA, Von Haehling S, Woo J, Cruz-Jentoft AJ. Defining terms commonly used in sarcopenia research: a glossary proposed by the Global Leadership in Sarcopenia (GLIS) Steering Committee. Eur Geriatr Med 2022; 13:1239-1244. [PMID: 36445639 PMCID: PMC9722886 DOI: 10.1007/s41999-022-00706-5] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 10/08/2022] [Indexed: 11/30/2022]
Abstract
METHODS The aim of this paper is to define terms commonly related to sarcopenia to enable standardization of these terms in research and clinical settings. The Global Leadership Initiative in Sarcopenia (GLIS) aims to bring together leading investigators in sarcopenia research to develop a single definition that can be utilized worldwide; work on a global definition of sarcopenia is ongoing. The first step of GLIS is to develop the common terminology, or a glossary, that will facilitate agreement on a global definition of sarcopenia as well as interpretation of clinical and research findings. RESULTS Several terms that are commonly used in sarcopenia research are defined, including self-reported measures of function and ability; objective physical performance tests; and measures related to muscle function and size. CONCLUSION As new methods and technologies are developed, these definitions may be expanded or refined over time. Our goal is to promote this common language to describe sarcopenia and its components in clinical and research settings in order to increase clinical awareness and research interest in this important condition. We hope that the use of common terminology in sarcopenia research will increase understanding of the concept and improve communication around this important age-related condition.
Collapse
Affiliation(s)
- Peggy M. Cawthon
- California Pacific Medical Center, Research Institute, 550 16th Street, Second Floor, San Francisco, CA 94143 USA
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA USA
| | - Marjolein Visser
- Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- The Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Hidenori Arai
- National Center for Geriatrics and Gerontology, Obu, Aichi Japan
| | - José A. Ávila-Funes
- Department of Geriatrics, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Rocco Barazzoni
- Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste, Italy
| | - Shalender Bhasin
- Bostin Claude D. Pepper Older Americans Independence Center, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA USA
| | - Ellen Binder
- Siteman Cancer Center at Barnes-Jewish Hospital, St. Louis, MO USA
- Division of Geriatrics and Nutritional Science, Washington University School of Medicine, St. Louis, MO USA
| | - Olivier Bruyère
- Division Public Health, Epidemiology and Health Economics, World Health Organization Collaborating Centre for Public Health Aspects of Musculoskeletal Health and Aging, University of Liège, Liège, Belgium
| | - Tommy Cederholm
- Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Uppsala, Sweden
- Theme Inflammation and Ageing, Karolinska University Hospital, Stockholm, Sweden
| | - Liang-Kung Chen
- Center for Healthy Longevity and Aging Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Center for Geriatrics and Gerontology, Taipei Veterans Generfranal Hospital, Taipei, Taiwan
- Taipei Municipal Gan-Dau Hospital (Managed by Taipei Veterans General Hospital), Taipei, Taiwan
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- Department of Epidemiology, University of Oxford, Oxford, OX UK
| | - Gustavo Duque
- Research Institute of the McGill University Health Centre, Montreal, QC Canada
- Division of Geriatric Medicine, Department of Medicine, McGill University, Montreal, QC Canada
| | - Roger A. Fielding
- Nutrition Exercise, Physiology, and Sarcopenia Laboratory, Jean Mayer U.S. Department of Agriculture Human Nutrition Research Center On Aging, Tufts University, Boston, MA USA
| | - Jack Guralnik
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD USA
| | - Douglas P. Kiel
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Department of Medicine Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA USA
| | - Ben Kirk
- Australian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, St. Albans, VIC Australia
- Department of Medicine-Western Health, The University of Melbourne, St. Albans, VIC Australia
| | - Francesco Landi
- Fondazione Policlinico Universitario “Agostino Gemelli” IRCCS, 00168 Rome, Italy
| | - Avan A. Sayer
- AGE Research Group, NIHR Newcastle Biomedical Research Centre, Newcastle Upon Tyne Hospitals NHS Foundation Trust and Faculty of Medical Sciences, Newcastle University, Newcastle, UK
| | - Stephan Von Haehling
- Department of Cardiology and Pneumology, University Medicine Göttingen (UMG), Göttingen, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site Göttingen, Göttingen, Germany
| | - Jean Woo
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
- Faculty of Medicine, Centre for Nutritional Studies, The Chinese University of Hong Kong, Hong Kong, China
| | | |
Collapse
|
32
|
Dalla Via J, Sim M, Schousboe JT, Kiel DP, Zhu K, Hodgson JM, Gebre AK, Daly RM, Prince RL, Lewis JR. Association of Abdominal Aortic Calcification with Peripheral Quantitative Computed Tomography Bone Measures in Older Women: The Perth Longitudinal Study of Ageing Women. Calcif Tissue Int 2022; 111:485-494. [PMID: 35962793 PMCID: PMC9560937 DOI: 10.1007/s00223-022-01016-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Accepted: 07/21/2022] [Indexed: 11/18/2022]
Abstract
We have previously shown that abdominal aortic calcification (AAC), a marker of advanced atherosclerotic disease, is weakly associated with reduced hip areal bone mineral density (aBMD). To better understand the vascular-bone health relationship, we explored this association with other key determinants of whole-bone strength and fracture risk at peripheral skeletal sites. This study examined associations of AAC with peripheral quantitative computed tomography (pQCT)-assessed total, cortical and trabecular volumetric BMD (vBMD), bone structure and strength of the radius and tibia among 648 community-dwelling older women (mean ± SD age 79.7 ± 2.5 years). We assessed associations between cross-sectional (2003) and longitudinal (progression from 1998/1999-2003) AAC assessed on lateral dual-energy X-ray absorptiometry (DXA) images with cross-sectional (2003) and longitudinal (change from 2003 to 2005) pQCT bone measures at the 4% radius and tibia, and 15% radius. Partial Spearman correlations (adjusted for age, BMI, calcium treatment) revealed no cross-sectional associations between AAC and any pQCT bone measures. AAC progression was not associated with any bone measure after adjusting for multiple comparisons, despite trends for inverse correlations with total bone area at the 4% radius (rs = - 0.088, p = 0.044), 4% tibia (rs = - 0.085, p = 0.052) and 15% radius (rs = - 0.101, p = 0.059). Neither AAC in 2003 nor AAC progression were associated with subsequent 2-year pQCT bone changes. ANCOVA showed no differences in bone measures between women with and without AAC or AAC progression, nor across categories of AAC extent. Collectively, these finding suggest that peripheral bone density and structure, or its changes with age, are not associated with central vascular calcification in older women.
Collapse
Affiliation(s)
- Jack Dalla Via
- Nutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia.
| | - Marc Sim
- Nutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia
- Medical School, The University of Western Australia, Perth, WA, Australia
| | - John T Schousboe
- Park Nicollet Osteoporosis Center and Health Partners Institute, Minneapolis, MN, USA
- Division of Health Policy and Management, University of Minnesota, Minneapolis, MN, USA
| | - Douglas P Kiel
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Department of Medicine Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Kun Zhu
- Medical School, The University of Western Australia, Perth, WA, Australia
- Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Perth, WA, Australia
| | - Jonathan M Hodgson
- Nutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia
- Medical School, The University of Western Australia, Perth, WA, Australia
| | - Abadi K Gebre
- Nutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia
- School of Pharmacy, College of Health Sciences, Mekelle University, Mekelle, Tigray, Ethiopia
| | - Robin M Daly
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC, Australia
| | - Richard L Prince
- Medical School, The University of Western Australia, Perth, WA, Australia
- Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Perth, WA, Australia
| | - Joshua R Lewis
- Nutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia
- Medical School, The University of Western Australia, Perth, WA, Australia
- Centre for Kidney Research, Children's Hospital at Westmead School of Public Health, Sydney Medical School, The University of Sydney, Sydney, NSW, Australia
| |
Collapse
|
33
|
Chattaris T, Oh G, Gouskova NA, Kim DH, Kiel DP, Berry SD. Osteoporosis Medications Prevent Subsequent Fracture in Frail Older Adults. J Bone Miner Res 2022; 37:2103-2111. [PMID: 36168189 PMCID: PMC9712267 DOI: 10.1002/jbmr.4693] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 08/12/2022] [Accepted: 08/28/2022] [Indexed: 11/08/2022]
Abstract
Frailty is common in older adults with fractures. Osteoporosis medications reduce subsequent fracture, but limited data exist on medication efficacy in frail individuals. Our objective was to determine whether medications reduce the risk of subsequent fracture in frail, older adults. A retrospective cohort of Medicare fee-for-service beneficiaries was conducted (2014-2016). We included adults aged ≥65 years who were hospitalized with fractures without osteoporosis treatment. Pre-fracture frailty was defined using claims-based frailty index (≥0.2 = frail). Exposure to any osteoporosis treatment (oral or intravenous bisphosphonates, denosumab, and teriparatide) was ascertained using Part B and D claims and categorized according to the cumulative duration of exposure: none, 1-90 days, and >90 days. Subsequent fractures were ascertained from Part A or B claims. Cause-specific hazard models with time-varying exposure were fit to examine the association between treatment and fracture outcomes, controlling for relevant covariates. Among 29,904 patients hospitalized with fractures, 15,345 (51.3%) were frail, and 2148 (7.2%) received osteoporosis treatment (median treatment duration 183.0 days). Patients who received treatment were younger (80.2 versus 82.2 years), female (86.5% versus 73.0%), and less frail (0.20 versus 0.22) than patients without treatment. During follow-up, 5079 (17.0%) patients experienced a subsequent fracture. Treatment with osteoporosis medications for >90 days compared with no treatment reduced the risk of fracture (hazard ratio [HR] = 0.82; 95% confidence interval [CI] 0.68-1.00) overall. Results were similar in frail (HR = 0.85; 95% CI 0.65-1.12) and non-frail (HR = 0.80; 95% CI 0.61-1.04) patients but not significant. In conclusion, osteoporosis treatment >90 days was associated with similar trends in reduced risk of subsequent fracture in frail and non-frail persons. Treatment rates were very low, particularly among the frail. When weighing treatment options in frail older adults with hospitalized fractures, clinicians should be aware that drug therapy does not appear to lose its efficacy. © 2022 American Society for Bone and Mineral Research (ASBMR).
Collapse
Affiliation(s)
- Tanchanok Chattaris
- Department of Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Thailand
- Hebrew SeniorLife, Hinda and Arthur Marcus Institute for Aging Research, Boston, MA
| | - Gahee Oh
- Hebrew SeniorLife, Hinda and Arthur Marcus Institute for Aging Research, Boston, MA
| | - Natalia A. Gouskova
- Hebrew SeniorLife, Hinda and Arthur Marcus Institute for Aging Research, Boston, MA
| | - Dae Hyun Kim
- Hebrew SeniorLife, Hinda and Arthur Marcus Institute for Aging Research, Boston, MA
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - Douglas P. Kiel
- Hebrew SeniorLife, Hinda and Arthur Marcus Institute for Aging Research, Boston, MA
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - Sarah D. Berry
- Hebrew SeniorLife, Hinda and Arthur Marcus Institute for Aging Research, Boston, MA
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| |
Collapse
|
34
|
Mintz J, Duprey MS, Zullo AR, Lee Y, Kiel DP, Daiello LA, Rodriguez KE, Venkatesh AK, Berry SD. Correction to: Identification of Fall-Related Injuries in Nursing Home Residents Using Administrative Claims Data. J Gerontol A Biol Sci Med Sci 2022; 77:2147. [PMID: 35532361 PMCID: PMC9536433 DOI: 10.1093/gerona/glac098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
| | - Matthew S Duprey
- Address correspondence to: Matthew S. Duprey, PharmD, PhD, Department of Health Services, Policy, and Practice, Brown University, 121 Second Main St, Box G-S121-6, Providence, RI 02903, USA. E-mail:
| | - Andrew R Zullo
- Department of Health Services, Policy, and Practice, Brown University, Providence, Rhode Island, USA
- Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, Rhode Island, USA
| | - Yoojin Lee
- Department of Health Services, Policy, and Practice, Brown University, Providence, Rhode Island, USA
| | - Douglas P Kiel
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Roslindale, Massachusetts, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - Lori A Daiello
- Department of Health Services, Policy, and Practice, Brown University, Providence, Rhode Island, USA
| | - Kenneth E Rodriguez
- Department of Orthopedic Trauma Surgery, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Arjun K Venkatesh
- Department of Emergency Medicine, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Sarah D Berry
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Roslindale, Massachusetts, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA
| |
Collapse
|
35
|
Vandenput L, Johansson H, McCloskey EV, Liu E, Åkesson KE, Anderson FA, Azagra R, Bager CL, Beaudart C, Bischoff-Ferrari HA, Biver E, Bruyère O, Cauley JA, Center JR, Chapurlat R, Christiansen C, Cooper C, Crandall CJ, Cummings SR, da Silva JAP, Dawson-Hughes B, Diez-Perez A, Dufour AB, Eisman JA, Elders PJM, Ferrari S, Fujita Y, Fujiwara S, Glüer CC, Goldshtein I, Goltzman D, Gudnason V, Hall J, Hans D, Hoff M, Hollick RJ, Huisman M, Iki M, Ish-Shalom S, Jones G, Karlsson MK, Khosla S, Kiel DP, Koh WP, Koromani F, Kotowicz MA, Kröger H, Kwok T, Lamy O, Langhammer A, Larijani B, Lippuner K, Mellström D, Merlijn T, Nordström A, Nordström P, O'Neill TW, Obermayer-Pietsch B, Ohlsson C, Orwoll ES, Pasco JA, Rivadeneira F, Schei B, Schott AM, Shiroma EJ, Siggeirsdottir K, Simonsick EM, Sornay-Rendu E, Sund R, Swart KMA, Szulc P, Tamaki J, Torgerson DJ, van Schoor NM, van Staa TP, Vila J, Wareham NJ, Wright NC, Yoshimura N, Zillikens MC, Zwart M, Harvey NC, Lorentzon M, Leslie WD, Kanis JA. Update of the fracture risk prediction tool FRAX: a systematic review of potential cohorts and analysis plan. Osteoporos Int 2022; 33:2103-2136. [PMID: 35639106 DOI: 10.1007/s00198-022-06435-6] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Accepted: 05/18/2022] [Indexed: 12/15/2022]
Abstract
UNLABELLED We describe the collection of cohorts together with the analysis plan for an update of the fracture risk prediction tool FRAX with respect to current and novel risk factors. The resource comprises 2,138,428 participants with a follow-up of approximately 20 million person-years and 116,117 documented incident major osteoporotic fractures. INTRODUCTION The availability of the fracture risk assessment tool FRAX® has substantially enhanced the targeting of treatment to those at high risk of fracture with FRAX now incorporated into more than 100 clinical osteoporosis guidelines worldwide. The aim of this study is to determine whether the current algorithms can be further optimised with respect to current and novel risk factors. METHODS A computerised literature search was performed in PubMed from inception until May 17, 2019, to identify eligible cohorts for updating the FRAX coefficients. Additionally, we searched the abstracts of conference proceedings of the American Society for Bone and Mineral Research, European Calcified Tissue Society and World Congress of Osteoporosis. Prospective cohort studies with data on baseline clinical risk factors and incident fractures were eligible. RESULTS Of the 836 records retrieved, 53 were selected for full-text assessment after screening on title and abstract. Twelve cohorts were deemed eligible and of these, 4 novel cohorts were identified. These cohorts, together with 60 previously identified cohorts, will provide the resource for constructing an updated version of FRAX comprising 2,138,428 participants with a follow-up of approximately 20 million person-years and 116,117 documented incident major osteoporotic fractures. For each known and candidate risk factor, multivariate hazard functions for hip fracture, major osteoporotic fracture and death will be tested using extended Poisson regression. Sex- and/or ethnicity-specific differences in the weights of the risk factors will be investigated. After meta-analyses of the cohort-specific beta coefficients for each risk factor, models comprising 10-year probability of hip and major osteoporotic fracture, with or without femoral neck bone mineral density, will be computed. CONCLUSIONS These assembled cohorts and described models will provide the framework for an updated FRAX tool enabling enhanced assessment of fracture risk (PROSPERO (CRD42021227266)).
Collapse
Affiliation(s)
- L Vandenput
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Sahlgrenska Osteoporosis Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - H Johansson
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
| | - E V McCloskey
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
- MRC Versus Arthritis Centre for Integrated Research in Musculoskeletal Ageing, Mellanby Centre for Musculoskeletal Research, University of Sheffield, Sheffield, UK
| | - E Liu
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - K E Åkesson
- Clinical and Molecular Osteoporosis Research Unit, Department of Clinical Sciences, Lund University, Lund, Sweden
- Department of Orthopedics, Skåne University Hospital, Malmö, Sweden
| | - F A Anderson
- GLOW Coordinating Center, Center for Outcomes Research, University of Massachusetts Medical School, Worcester, MA, USA
| | - R Azagra
- Department of Medicine, Autonomous University of Barcelona, Barcelona, Spain
- Health Center Badia del Valles, Catalan Institute of Health, Barcelona, Spain
- GROIMAP (Research Group), Unitat de Suport a La Recerca Metropolitana Nord, Institut Universitari d'Investigació en Atenció Primària Jordi Gol, Santa Coloma de Gramenet, Barcelona, Spain
| | - C L Bager
- Nordic Bioscience A/S, Herlev, Denmark
| | - C Beaudart
- WHO Collaborating Centre for Public Health Aspects of Musculoskeletal Health and Aging, Division of Public Health, Epidemiology and Health Economics, University of Liège, Liège, Belgium
| | - H A Bischoff-Ferrari
- Department of Aging Medicine and Aging Research, University Hospital, Zurich, and University of Zurich, Zurich, Switzerland
- Centre On Aging and Mobility, University of Zurich and City Hospital, Zurich, Switzerland
| | - E Biver
- Division of Bone Diseases, Department of Medicine, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - O Bruyère
- WHO Collaborating Centre for Public Health Aspects of Musculoskeletal Health and Aging, Division of Public Health, Epidemiology and Health Economics, University of Liège, Liège, Belgium
| | - J A Cauley
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Philadelphia, USA
| | - J R Center
- Bone Biology, Healthy Ageing Theme, Garvan Institute of Medical Research, Sydney, NSW, Australia
- St Vincent's Clinical School, Faculty of Medicine, University of New South Wales Sydney, Sydney, NSW, Australia
- School of Medicine Sydney, University of Notre Dame Australia, Sydney, NSW, Australia
| | - R Chapurlat
- INSERM UMR 1033, University of Lyon, Hôpital Edouard Herriot, Lyon, France
| | | | - C Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- National Institute for Health Research Southampton Biomedical Research Centre, University of Southampton and University Hospitals Southampton NHS Foundation Trust, Southampton, UK
- National Institute for Health Research Oxford Biomedical Research Unit, , University of Oxford, Oxford, UK
| | - C J Crandall
- Division of General Internal Medicine and Health Services Research, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - S R Cummings
- San Francisco Coordinating Center, California Pacific Medical Center Research Institute, San Francisco, CA, USA
| | - J A P da Silva
- Coimbra Institute for Clinical and Biomedical Research, Faculty of Medicine, University of Coimbra, Coimbra, Portugal
- Rheumatology Department, University Hospital and University of Coimbra, Coimbra, Portugal
| | - B Dawson-Hughes
- Bone Metabolism Laboratory, Jean Mayer US Department of Agriculture Human Nutrition Research Center On Aging, Tufts University, Boston, MA, USA
| | - A Diez-Perez
- Department of Internal Medicine, Hospital del Mar and CIBERFES, Autonomous University of Barcelona, Barcelona, Spain
| | - A B Dufour
- Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - J A Eisman
- St Vincent's Clinical School, Faculty of Medicine, University of New South Wales Sydney, Sydney, NSW, Australia
- School of Medicine Sydney, University of Notre Dame Australia, Sydney, NSW, Australia
- Osteoporosis and Bone Biology Division, Garvan Institute of Medical Research, Sydney, NSW, Australia
| | - P J M Elders
- Department of General Practice, Amsterdam UMC, Location VUmc, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - S Ferrari
- Division of Bone Diseases, Department of Medicine, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Y Fujita
- Department of Public Health, Faculty of Medicine, Kindai University, Osaka, Japan
| | - S Fujiwara
- Department of Pharmacy, Yasuda Women's University, Hiroshima, Japan
| | - C-C Glüer
- Section Biomedical Imaging, Molecular Imaging North Competence Center, Department of Radiology and Neuroradiology, University Medical Center Schleswig-Holstein Kiel, Kiel University, Kiel, Germany
| | - I Goldshtein
- Maccabitech Institute of Research and Innovation, Maccabi Healthcare Services, Tel Aviv, Israel
- Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - D Goltzman
- Department of Medicine, McGill University and McGill University Health Centre, Montreal, Canada
| | - V Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- University of Iceland, Reykjavik, Iceland
| | - J Hall
- MRC Centre for Reproductive Health, University of Edinburgh, Edinburgh, UK
| | - D Hans
- Centre of Bone Diseases, Bone and Joint Department, Lausanne University Hospital, Lausanne, Switzerland
| | - M Hoff
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Rheumatology, St Olavs Hospital, Trondheim, Norway
| | - R J Hollick
- Aberdeen Centre for Arthritis and Musculoskeletal Health, Epidemiology Group, University of Aberdeen, Aberdeen, UK
| | - M Huisman
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, The Netherlands
- Department of Sociology, VU University, Amsterdam, The Netherlands
| | - M Iki
- Department of Public Health, Faculty of Medicine, Kindai University, Osaka, Japan
| | - S Ish-Shalom
- Endocrine Clinic, Elisha Hospital, Haifa, Israel
| | - G Jones
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - M K Karlsson
- Clinical and Molecular Osteoporosis Research Unit, Department of Clinical Sciences, Lund University, Lund, Sweden
- Department of Orthopaedics, Skåne University Hospital, Malmö, Sweden
| | - S Khosla
- Robert and Arlene Kogod Center On Aging and Division of Endocrinology, Mayo Clinic College of Medicine, Mayo Clinic, Rochester, MN, USA
| | - D P Kiel
- Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - W-P Koh
- Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research (A*STAR), Singapore, Singapore
| | - F Koromani
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - M A Kotowicz
- IMPACT (Institute for Mental and Physical Health and Clinical Translation), Deakin University, Geelong, VIC, Australia
- Barwon Health, Geelong, VIC, Australia
- Department of Medicine - Western Health, The University of Melbourne, St Albans, Victoria, Australia
| | - H Kröger
- Department of Orthopedics and Traumatology, Kuopio University Hospital, Kuopio, Finland
- Kuopio Musculoskeletal Research Unit, University of Eastern Finland, Kuopio, Finland
| | - T Kwok
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, Hong Kong
- Jockey Club Centre for Osteoporosis Care and Control, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, Hong Kong
| | - O Lamy
- Centre of Bone Diseases, Lausanne University Hospital, Lausanne, Switzerland
- Service of Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - A Langhammer
- Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, HUNT Research Centre, Norwegian University of Science and Technology, Trondheim, Norway
| | - B Larijani
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - K Lippuner
- Department of Osteoporosis, Bern University Hospital, University of Bern, Bern, Switzerland
| | - D Mellström
- Geriatric Medicine, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Geriatric Medicine, Sahlgrenska University Hospital Mölndal, Mölndal, Sweden
| | - T Merlijn
- Department of General Practice, Amsterdam UMC, Location VUmc, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - A Nordström
- Division of Sustainable Health, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
- School of Sport Sciences, Arctic University of Norway, Tromsø, Norway
| | - P Nordström
- Unit of Geriatric Medicine, Department of Community Medicine and Rehabilitation, Umeå University, Umeå, Sweden
| | - T W O'Neill
- National Institute for Health Research Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Centre for Epidemiology Versus Arthritis, University of Manchester, Manchester, UK
| | - B Obermayer-Pietsch
- Department of Internal Medicine, Division of Endocrinology and Diabetology, Medical University Graz, Graz, Austria
- Center for Biomarker Research in Medicine, Graz, Austria
| | - C Ohlsson
- Sahlgrenska Osteoporosis Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Drug Treatment, Sahlgrenska University Hospital, Region Västra Götaland, Gothenburg, Sweden
| | - E S Orwoll
- Department of Medicine, Oregon Health and Science University, Portland, OR, USA
| | - J A Pasco
- Institute for Physical and Mental Health and Clinical Translation (IMPACT), Deakin University, Geelong, Australia
- Department of Medicine-Western Health, The University of Melbourne, St Albans, Australia
- Barwon Health, Geelong, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia
| | - F Rivadeneira
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - B Schei
- Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Gynecology, St Olavs Hospital, Trondheim, Norway
| | - A-M Schott
- Université Claude Bernard Lyon 1, U INSERM 1290 RESHAPE, Lyon, France
| | - E J Shiroma
- Laboratory of Epidemiology and Population Sciences, National Institute On Aging, Baltimore, MD, USA
| | - K Siggeirsdottir
- Icelandic Heart Association, Kopavogur, Iceland
- Janus Rehabilitation, Reykjavik, Iceland
| | - E M Simonsick
- Translational Gerontology Branch, National Institute On Aging Intramural Research Program, Baltimore, MD, USA
| | | | - R Sund
- Kuopio Musculoskeletal Research Unit, University of Eastern Finland, Kuopio, Finland
| | - K M A Swart
- Department of General Practice, Amsterdam UMC, Location VUmc, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - P Szulc
- INSERM UMR 1033, University of Lyon, Hôpital Edouard Herriot, Lyon, France
| | - J Tamaki
- Department of Hygiene and Public Health, Faculty of Medicine, Educational Foundation of Osaka Medical and Pharmaceutical University, Osaka, Japan
| | - D J Torgerson
- York Trials Unit, Department of Health Sciences, University of York, York, UK
| | - N M van Schoor
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, The Netherlands
| | - T P van Staa
- Centre for Health Informatics, Faculty of Biology, Medicine and Health, School of Health Sciences, University of Manchester, Manchester, UK
| | - J Vila
- Statistics Support Unit, Hospital del Mar Medical Research Institute, CIBER Epidemiology and Public Health (CIBERESP), Barcelona, Spain
| | - N J Wareham
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - N C Wright
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - N Yoshimura
- Department of Preventive Medicine for Locomotive Organ Disorders, The University of Tokyo Hospital, Tokyo, Japan
| | - M C Zillikens
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - M Zwart
- Health Center Can Gibert del Plà, Catalan Institute of Health, Girona, Spain
- Department of Medical Sciences, University of Girona, Girona, Spain
- GROIMAP (Research Group), Institut Universitari d'Investigació en Atenció Primària Jordi Gol, Barcelona, Spain
| | - N C Harvey
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - M Lorentzon
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
- Geriatric Medicine, Region Västra Götaland, Sahlgrenska University Hospital, Mölndal, Sweden
| | - W D Leslie
- Department of Medicine, University of Manitoba, Winnipeg, MB, Canada
| | - J A Kanis
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia.
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK.
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Sheffield, UK.
| |
Collapse
|
36
|
Uddin MDM, Nguyen NQH, Yu B, Brody JA, Pampana A, Nakao T, Fornage M, Bressler J, Sotoodehnia N, Weinstock JS, Honigberg MC, Nachun D, Bhattacharya R, Griffin GK, Chander V, Gibbs RA, Rotter JI, Liu C, Baccarelli AA, Chasman DI, Whitsel EA, Kiel DP, Murabito JM, Boerwinkle E, Ebert BL, Jaiswal S, Floyd JS, Bick AG, Ballantyne CM, Psaty BM, Natarajan P, Conneely KN. Clonal hematopoiesis of indeterminate potential, DNA methylation, and risk for coronary artery disease. Nat Commun 2022; 13:5350. [PMID: 36097025 PMCID: PMC9468335 DOI: 10.1038/s41467-022-33093-3] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 09/01/2022] [Indexed: 12/15/2022] Open
Abstract
Age-related changes to the genome-wide DNA methylation (DNAm) pattern observed in blood are well-documented. Clonal hematopoiesis of indeterminate potential (CHIP), characterized by the age-related acquisition and expansion of leukemogenic mutations in hematopoietic stem cells (HSCs), is associated with blood cancer and coronary artery disease (CAD). Epigenetic regulators DNMT3A and TET2 are the two most frequently mutated CHIP genes. Here, we present results from an epigenome-wide association study for CHIP in 582 Cardiovascular Health Study (CHS) participants, with replication in 2655 Atherosclerosis Risk in Communities (ARIC) Study participants. We show that DNMT3A and TET2 CHIP have distinct and directionally opposing genome-wide DNAm association patterns consistent with their regulatory roles, albeit both promoting self-renewal of HSCs. Mendelian randomization analyses indicate that a subset of DNAm alterations associated with these two leading CHIP genes may promote the risk for CAD.
Collapse
Affiliation(s)
- M D Mesbah Uddin
- Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, 02142, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Ngoc Quynh H Nguyen
- Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Bing Yu
- Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, 98101, USA
| | - Akhil Pampana
- Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, 02142, USA
| | - Tetsushi Nakao
- Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, 02142, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, 02114, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02115, USA
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Jan Bressler
- Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Nona Sotoodehnia
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, 98101, USA
| | - Joshua S Weinstock
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, 48109, USA
| | - Michael C Honigberg
- Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, 02142, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Daniel Nachun
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Romit Bhattacharya
- Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, 02142, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, 02114, USA
- Department of Medicine, Harvard Medical School, Boston, MA, 02115, USA
| | - Gabriel K Griffin
- Department of Pathology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, 02115, USA
- Epigenomics Program, Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Varuna Chander
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, 77030, USA
- Department of Genetics and Genomics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Richard A Gibbs
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, 77030, USA
- Department of Genetics and Genomics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Chunyu Liu
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA, 02118, USA
- Framingham Heart Study, Boston University and NHLBI/NIH, Framingham, MA, 01702, USA
| | - Andrea A Baccarelli
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, 10032, USA
| | - Daniel I Chasman
- Department of Medicine, Harvard Medical School, Boston, MA, 02115, USA
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, 02215, USA
| | - Eric A Whitsel
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, 27516, USA
- Department of Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC, 27516, USA
| | - Douglas P Kiel
- Department of Medicine, Harvard Medical School, Boston, MA, 02115, USA
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, 02131, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, 02215, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, 02142, USA
| | - Joanne M Murabito
- Framingham Heart Study, Boston University and NHLBI/NIH, Framingham, MA, 01702, USA
- Department of Medicine, Section of General Internal Medicine, Boston University School of Medicine and Boston Medical Center, Boston, MA, 02118, USA
| | - Eric Boerwinkle
- Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Benjamin L Ebert
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02115, USA
- Howard Hughes Medical Institute, Boston, MA, 20815, USA
| | - Siddhartha Jaiswal
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - James S Floyd
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, 98101, USA
- Department of Epidemiology, University of Washington, Seattle, WA, 98101, USA
| | - Alexander G Bick
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, 98101, USA
- Department of Epidemiology, University of Washington, Seattle, WA, 98101, USA
- Department of Health Systems and Population Health, University of Washington, Seattle, WA, 98101, USA
| | - Pradeep Natarajan
- Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, 02142, USA.
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, 02114, USA.
- Department of Medicine, Harvard Medical School, Boston, MA, 02115, USA.
| | - Karen N Conneely
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, 30322, USA.
| |
Collapse
|
37
|
Porter T, Sim M, Prince RL, Schousboe JT, Bondonno C, Lim WH, Zhu K, Kiel DP, Hodgson JM, Laws SM, Lewis JR. Abdominal aortic calcification on lateral spine images captured during bone density testing and late-life dementia risk in older women: A prospective cohort study. Lancet Reg Health West Pac 2022; 26:100502. [PMID: 36213133 PMCID: PMC9535408 DOI: 10.1016/j.lanwpc.2022.100502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
BACKGROUND Dementia after the age of 80 years (late-life) is increasingly common due to vascular and non-vascular risk factors. Identifying individuals at higher risk of late-life dementia remains a global priority. METHODS In prospective study of 958 ambulant community-dwelling older women (≥70 years), lateral spine images (LSI) captured in 1998 (baseline) from a bone density machine were used to assess abdominal aortic calcification (AAC). AAC was classified into established categories (low, moderate and extensive). Cardiovascular risk factors and apolipoprotein E (APOE) genotyping were evaluated. Incident 14.5-year late-life dementia was identified from linked hospital and mortality records. FINDINGS At baseline women were 75.0 ± 2.6 years, 44.7% had low AAC, 36.4% had moderate AAC and 18.9% had extensive AAC. Over 14.5- years, 150 (15.7%) women had a late-life dementia hospitalisation (n = 132) and/or death (n = 58). Compared to those with low AAC, women with moderate and extensive AAC were more likely to suffer late-life dementia hospitalisations (9.3%, 15.5%, 18.3%, respectively) and deaths (2.8%, 8.3%, 9.4%, respectively). After adjustment for cardiovascular risk factors and APOE, women with moderate and extensive AAC had twice the relative hazards of late-life dementia (moderate, aHR 2.03 95%CI 1.38-2.97; extensive, aHR 2.10 95%CI 1.33-3.32), compared to women with low AAC. INTERPRETATION In community-dwelling older women, those with more advanced AAC had higher risk of late-life dementia, independent of cardiovascular risk factors and APOE genotype. Given the widespread use of bone density testing, simultaneously capturing AAC information may be a novel, non-invasive, scalable approach to identify older women at risk of late-life dementia. FUNDING Kidney Health Australia, Healthway Health Promotion Foundation of Western Australia, Sir Charles Gairdner Hospital Research Advisory Committee Grant, National Health and Medical Research Council of Australia.
Collapse
Key Words
- AAC, abdominal aortic calcification
- AAC24, abdominal aortic calcification 24 scale scores
- AD, Alzheimer's disease
- APOE, apolipoprotein E
- ASVD, atherosclerotic vascular disease
- AUC, area under the curve
- Aging
- CAC, coronary artery calcification
- CVD, cardiovascular disease
- DXA, dual-energy X-ray absorptiometry
- Dementia
- Epidemiology
- FRS, Framingham General Cardiovascular Risk Scores
- IDI, integrated discrimination improvement
- Imaging
- LSI, lateral spine imaging
- NRI, net reclassification improvement
- ROC, receiver operator characteristics
- Vascular disease
Collapse
Affiliation(s)
- Tenielle Porter
- Centre for Precision Health, Edith Cowan University, Joondalup, WA, Australia
- Collaborative Genomics and Translation Group, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
- School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences, Curtin Health Innovation Research Institute, Curtin University, Bentley, WA, Australia
| | - Marc Sim
- Nutrition & Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
- Medical School, University of Western Australia, Crawley, WA, Australia
| | - Richard L. Prince
- Nutrition & Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
- Medical School, University of Western Australia, Crawley, WA, Australia
| | - John T. Schousboe
- Park Nicollet Clinic and HealthPartners Institute, HealthPartners, Minneapolis, MN, USA
- Division of Health Policy and Management, University of Minnesota, Minneapolis, MN, USA
| | - Catherine Bondonno
- Nutrition & Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
- Medical School, University of Western Australia, Crawley, WA, Australia
| | - Wai H. Lim
- Medical School, University of Western Australia, Crawley, WA, Australia
- Department of Renal Medicine, Sir Charles Gairdner Hospital, Perth, WA, Australia
| | - Kun Zhu
- Medical School, University of Western Australia, Crawley, WA, Australia
- Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Perth, WA, Australia
| | - Douglas P. Kiel
- Marcus Institute for Aging Research, Hebrew SeniorLife, Department of Medicine Beth, Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Jonathan M. Hodgson
- Nutrition & Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
- Medical School, University of Western Australia, Crawley, WA, Australia
| | - Simon M. Laws
- Centre for Precision Health, Edith Cowan University, Joondalup, WA, Australia
- Collaborative Genomics and Translation Group, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
- School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences, Curtin Health Innovation Research Institute, Curtin University, Bentley, WA, Australia
| | - Joshua R. Lewis
- Nutrition & Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
- Medical School, University of Western Australia, Crawley, WA, Australia
- Centre for Kidney Research, Children's Hospital at Westmead, School of Public Health, Sydney Medical School, the University of Sydney, Sydney, NSW, Australia
| |
Collapse
|
38
|
Gebre AK, Lewis JR, Leow K, Szulc P, Scott D, Ebeling PR, Sim M, Wong G, Lim WH, Schousboe JT, Kiel DP, Prince RL, Rodríguez AJ. Abdominal aortic calcification, bone mineral density and fractures: a systematic review and meta-analysis of observational studies. J Gerontol A Biol Sci Med Sci 2022:6674525. [PMID: 36000920 DOI: 10.1093/gerona/glac171] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Abdominal aortic calcification (AAC) has been inconsistently associated with skeletal health. We aimed to investigate the association of AAC with bone mineral density (BMD) and fracture risk by pooling the findings of observational studies. METHODS Medline, EMBASE, Web of Science and Google Scholar were searched (August 2021). All clinical studies that assessed the association between AAC and BMD or fracture were included. AAC was categorized into any/advanced (all higher reported groups) vs no/less advanced (lowest reported group). Pooled standardized mean differences (SMDs) and risk ratios (RRs) with 95% confidence intervals (CI) were determined for BMD and fracture, respectively, using random-effects models. RESULTS Of 2,192 articles screened, 86 (61,553 participants) were included in the review, while 42 provided data for meta-analysis. AAC was associated with lower BMD at the total hip [SMD=-1.05 (95%CI: -1.47 to -0.63); 16 studies], femoral neck [-0.25 (-0.46 to - 0.04); 10] and lumbar spine [-0.67 (-1.21 to -0.12); 20]. AAC was associated with a greater risk of any fracture [RR= 1.73 (95%CI: 1.48 to 2.02); 27]. AAC was also associated with vertebral, non-vertebral and hip fractures. In dose-response analysis, the highest AAC group had greater risks of any, vertebral and non-vertebral fractures. CONCLUSIONS AAC is associated with lower BMD and increased fracture risk at multiple sites, underscoring the potential importance of vascular disease on skeletal health. Detection of AAC at the time of BMD testing may provide clinicians with prognostic information about bone health to enhance osteoporosis screening programs and fracture risk prediction.
Collapse
Affiliation(s)
- Abadi K Gebre
- Nutrition & Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia.,School of Pharmacy, College of Health Sciences, Mekelle University, Mekelle, Tigray
| | - Joshua R Lewis
- Nutrition & Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia.,Medical School, University of Western Australia, Perth, Australia.,Centre for Kidney Research, Children's Hospital at Westmead School of Public Health, Sydney Medical School, The University of Sydney, Sydney, Australia
| | - Kevin Leow
- Centre for Kidney Research, Children's Hospital at Westmead School of Public Health, Sydney Medical School, The University of Sydney, Sydney, Australia
| | - Pawel Szulc
- INSERM UMR 1033, University of Lyon, Hospices Civils de Lyon, Lyon, France
| | - David Scott
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC, Australia.,Bone and Muscle Health Research Group, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Victoria, Australia
| | - Peter R Ebeling
- Bone and Muscle Health Research Group, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Victoria, Australia
| | - Marc Sim
- Nutrition & Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia.,Medical School, University of Western Australia, Perth, Australia
| | - Germaine Wong
- Centre for Kidney Research, Children's Hospital at Westmead School of Public Health, Sydney Medical School, The University of Sydney, Sydney, Australia
| | - Wai H Lim
- Medical School, University of Western Australia, Perth, Australia.,Department of Renal Medicine, Sir Charles Gairdner Hospital, Western Australia, Australia
| | - John T Schousboe
- Park Nicollet Osteoporosis Center and HealthPartners Institute, HealthPartners, Minneapolis, MN 55416, USA, and Division of Health Policy and Management, University of Minnesota, Minneapolis, MN 55455, USA
| | - Douglas P Kiel
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Richard L Prince
- Medical School, University of Western Australia, Perth, Australia
| | - Alexander J Rodríguez
- Nutrition & Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia.,Bone and Muscle Health Research Group, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Victoria, Australia
| |
Collapse
|
39
|
Millar CL, Dufour AB, Hebert JR, Shivappa N, Okereke OI, Kiel DP, Hannan MT, Sahni S. Association of Proinflammatory Diet With Frailty Onset Among Adults With and Without Depressive Symptoms: Results From the Framingham Offspring Study. J Gerontol A Biol Sci Med Sci 2022; 78:250-257. [PMID: 35830506 PMCID: PMC9951064 DOI: 10.1093/gerona/glac140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Dietary inflammation is associated with increased risk of frailty. Those with depressive symptoms may be at higher risk of frailty onset because they typically have higher levels of inflammation. The study objective was to determine the association between a proinflammatory diet and frailty onset in those with and without clinically relevant depressive symptoms. METHODS This prospective study included 1 701 nonfrail individuals with self-reported baseline (1998-2001) data available for the evaluation of energy-adjusted dietary inflammatory index (E-DIITM; calculated from food frequency questionnaires), depressive symptoms (from the Center for Epidemiologic Studies Depression; CES-D), and follow-up frailty measurements (2011-2014). Frailty was defined as fulfilling ≥3 Fried frailty criteria (i.e., slow gait, weak grip strength, unintentional weightloss, low physical activity, and self-reported exhaustion). Results are presented by baseline CES-D scores <16 or ≥16 points, which denotes the absence or presence of clinically relevant depressive symptoms, respectively. Logistic regression estimated odds ratios (OR) and 95% confidence intervals (95% CI) between E-DII and frailty onset, adjusting for confounders. RESULTS In all study participants, mean (SD) age was 58(8) years and E-DII was -1.95 (2.20; range: -6.71 to +5.40, higher scores denote a more proinflammatory diet), and 45% were male. In those without clinically relevant depressive symptoms, 1-unit higher E-DII score was associated with 14% increased odds (95% CI: 1.05-1.24) of frailty. In those with depressive symptoms, 1-unit higher E-DII score was associated with 55% increased odds of frailty (95% CI: 1.13-2.13). CONCLUSIONS The association between inflammatory diet and increased odds of frailty appeared somewhat stronger among those with depressive symptoms. This preliminary finding warrants further investigation.
Collapse
Affiliation(s)
- Courtney L Millar
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, Massachusetts, USA,Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Alyssa B Dufour
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, Massachusetts, USA,Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - James R Hebert
- Department of Epidemiology and Biostatistics and the Cancer Prevention and Control Program, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, USA,Department of Nutrition, Connecting Health Innovations LLC, Columbia, South Carolina, USA
| | - Nitin Shivappa
- Department of Epidemiology and Biostatistics and the Cancer Prevention and Control Program, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, USA,Department of Nutrition, Connecting Health Innovations LLC, Columbia, South Carolina, USA
| | - Olivia I Okereke
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA,Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, Massachusetts, USA
| | - Douglas P Kiel
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, Massachusetts, USA,Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Marian T Hannan
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, Massachusetts, USA,Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Shivani Sahni
- Address correspondence to: Shivani Sahni, PhD, Marcus Institute for Aging Research, Hebrew SeniorLife, 1200 Centre Street, Boston, MA 02131, USA. E-mail:
| |
Collapse
|
40
|
Mintz J, Duprey MS, Zullo AR, Lee Y, Kiel DP, Daiello LA, Rodriguez KE, Venkatesh AK, Berry SD. Identification of Fall-Related Injuries in Nursing Home Residents Using Administrative Claims Data. J Gerontol A Biol Sci Med Sci 2022; 77:1421-1429. [PMID: 34558615 PMCID: PMC9255678 DOI: 10.1093/gerona/glab274] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Fall-related injuries (FRIs) are a leading cause of morbidity, mortality, and costs among nursing home (NH) residents. Carefully defining FRIs in administrative data is essential for improving injury-reduction efforts. We developed a series of novel claims-based algorithms for identifying FRIs in long-stay NH residents. METHODS This is a retrospective cohort of residents of NH residing there for at least 100 days who were continuously enrolled in Medicare Parts A and B in 2016. FRIs were identified using 4 claims-based case-qualifying (CQ) definitions (Inpatient [CQ1], Outpatient and Provider with Procedure [CQ2], Outpatient and Provider with Fall [CQ3], or Inpatient or Outpatient and Provider with Fall [CQ4]). Correlation was calculated using phi correlation coefficients. RESULTS Of 153 220 residents (mean [SD] age 81.2 [12.1], 68.0% female), we identified 10 104 with at least one FRI according to one or more CQ definition. Among 2 950 residents with hip fractures, 1 852 (62.8%) were identified by all algorithms. Algorithm CQ4 (n = 326-2 775) identified more FRIs across all injuries while CQ1 identified less (n = 21-2 320). CQ2 identified more intracranial bleeds (1 028 vs 448) than CQ1. For nonfracture categories, few FRIs were identified using CQ1 (n = 20-488). Of the 2 320 residents with hip fractures identified by CQ1, 2 145 (92.5%) had external cause of injury codes. All algorithms were strongly correlated, with phi coefficients ranging from 0.82 to 0.99. CONCLUSIONS Claims-based algorithms applied to outpatient and provider claims identify more nonfracture FRIs. When identifying risk factors, stakeholders should select the algorithm(s) suitable for the FRI and study purpose.
Collapse
Affiliation(s)
- Joel Mintz
- Nova Southeastern University College of Allopathic Medicine, Davie, Florida, USA
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Roslindale, Massachusetts, USA
| | - Matthew S Duprey
- Department of Health Services, Policy, and Practice, Brown University, Providence, Rhode Island, USA
| | - Andrew R Zullo
- Department of Health Services, Policy, and Practice, Brown University, Providence, Rhode Island, USA
- Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, Rhode Island, USA
| | - Yoojin Lee
- Department of Health Services, Policy, and Practice, Brown University, Providence, Rhode Island, USA
| | - Douglas P Kiel
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Roslindale, Massachusetts, USA
- Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA
| | - Lori A Daiello
- Department of Health Services, Policy, and Practice, Brown University, Providence, Rhode Island, USA
| | - Kenneth E Rodriguez
- Department of Orthopedic Trauma Surgery, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Arjun K Venkatesh
- Department of Emergency Medicine, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Sarah D Berry
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Roslindale, Massachusetts, USA
- Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA
| |
Collapse
|
41
|
Gebre AK, Prince RL, Schousboe JT, Kiel DP, Thompson PL, Zhu K, Lim WH, Sim M, Lewis JR. Calcaneal quantitative ultrasound is associated with all-cause and cardiovascular disease mortality independent of hip bone mineral density. Osteoporos Int 2022; 33:1557-1567. [PMID: 35147712 PMCID: PMC9187548 DOI: 10.1007/s00198-022-06317-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Accepted: 01/20/2022] [Indexed: 11/26/2022]
Abstract
UNLABELLED Osteoporosis has been linked with increased risk of cardiovascular disease previously. However, few studies have detailed bone and vascular information. In a prospective study of older women, we demonstrated heel quantitative ultrasound measures were associated with increased cardiovascular and all-cause mortality, independent of established cardiovascular risk factors. INTRODUCTION Osteoporosis and low bone mineral density (BMD) have been previously linked to cardiovascular disease (CVD) and mortality. Calcaneal quantitative ultrasound (QUS) is used to evaluate bone material properties, especially in older women. However, it is uncertain whether it is related to risk of mortality. This study was aimed to investigate the association between calcaneal QUS measurements and 15-year all-cause and CVD mortality in 1404 older women (mean age 75.2 ± 2.7 years). METHODS One thousand four hundred four older women, participants of Calcium Intake Fracture Outcome study (CAIFOS), had calcaneal bone measured at baseline (1998) and followed for 15 years. The primary outcomes, any deaths, and deaths attributable to cardiovascular causes ascertained by using linked data were obtained from Western Australia data linkage system. RESULTS Over the 15 years of follow-up (17,955 person years), 584 of the women died, and 223 from CVD. For every standard deviation (SD), reduction in broadband ultrasound attenuation (BUA) in minimally and multivariable-adjusted model including cardiovascular risk factors increased relative hazards for all-cause (multivariable-adjusted HR 1.15; 95%CI: 1.06-1.26, p = 0.001) and CVD mortality (multivariable-adjusted HR 1.20; 95%CI: 1.04-1.38, p = 0.010). Such relationships also persisted when hip BMD was included in the model (all-cause mortality HR 1.19; 95%CI: 1.07-1.33, p = 0.002; CVD mortality HR 1.28; 95%CI: 1.07-1.53, p = 0.008). CONCLUSION BUA is associated with all-cause and CVD mortality in older women independent of BMD and established CVD risk factors. Understanding why and how these are related may provide further insights about the bone-vascular nexus as well as therapeutic targets benefiting both systems.
Collapse
Affiliation(s)
- A K Gebre
- Institute for Nutrition Research, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, 6027, Australia
- School of Pharmacy, College of Health Sciences, Mekelle University, Mekelle, Ethiopia
| | - R L Prince
- Medical School, The University of Western Australia, Perth, Australia
- Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Perth, Australia
| | - J T Schousboe
- Park Nicollet Osteoporosis Center and HealthPartners Institute, HealthPartners, Minneapolis, MN, 55416, USA
- Division of Health Policy and Management, University of Minnesota, Minneapolis, MN, 55455, USA
| | - D P Kiel
- Marcus Institute for Aging Research, Hebrew SeniorLife, Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, 02215, USA
| | - P L Thompson
- Medical School, The University of Western Australia, Perth, Australia
- Department of Cardiology, Sir Charles Gairdner Hospital, Perth, Australia
| | - K Zhu
- Medical School, The University of Western Australia, Perth, Australia
- Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Perth, Australia
| | - W H Lim
- Medical School, The University of Western Australia, Perth, Australia
- Renal Department, Sir Charles Gairdner Hospital, Perth, Australia
| | - M Sim
- Institute for Nutrition Research, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, 6027, Australia
- Medical School, The University of Western Australia, Perth, Australia
| | - J R Lewis
- Institute for Nutrition Research, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, 6027, Australia.
- Medical School, The University of Western Australia, Perth, Australia.
- Centre for Kidney Research, Children's Hospital at Westmead School of Public Health, Sydney Medical School, The University of Sydney, Sydney, Australia.
| |
Collapse
|
42
|
Dai Z, Hirani V, Sahni S, Felson DT, Naganathan V, Blyth F, Couteur DL, Handelsman D, Seibel MJ, Waite L, Kiel DP, Cumming R. Association of dietary fiber and risk of hip fracture in men from the Framingham Osteoporosis Study and the Concord Health and Ageing in Men Project. Nutr Health 2022; 28:229-238. [PMID: 33940973 PMCID: PMC10622166 DOI: 10.1177/02601060211011798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
BACKGROUND Data in the Offspring Framingham Osteoporosis Study (FOS) suggested that higher intake of dietary fiber was modestly protective against loss of bone mineral density at the femoral neck in men but not in women. AIM To examine the relationship of fiber intake with risk of hip fractures in men. METHODS We included 367 men from the FOS Original cohort, 1730 men from the FOS Offspring cohort, and 782 men from the Concord Health and Ageing in Men Project (CHAMP) in the analysis. Incident fractures were defined as medically confirmed first occurrence of osteoporotic fractures at the proximal femur. Fiber intake was estimated via a validated food frequency questionnaire (FFQ) or diet history. Cox proportional hazards models were applied to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). A random-effects model was used to estimate the pooled relative risk in meta-analysis. RESULTS Seventy-two incident hip fractures were identified, of which 24 occurred in the FOS Original cohort [mean (SD): age 75.3 (5.1) years; follow-up time: 8.5 (6.2) years; dietary fiber: 19 (8) (g/d)], 19 in the FOS Offspring cohort [58.8 (9.8) years; 11.0 (5.9) years; 19 (8) (g/d)], and 29 in CHAMP [81.4 (4.5) years; 5.2 (1.5) years; 28 (10) (g/d)]. We did not find significant associations within each cohort between fiber intake and risk of hip fractures. The pooled HR (95% CI) was 0.80 (0.39, 1.66) comparing energy-adjusted dietary fiber at tertile 3 vs. tertile 1 (I2 = 0, p = 0.56). CONCLUSION These data suggested that dietary fiber was not associated with risk of incident hip fractures in men.
Collapse
Affiliation(s)
- Zhaoli Dai
- Charles Perkins Centre, School of Pharmacy, Faculty of Medicine and Health, The University of Sydney, D17, The Hub, Camperdown, NSW, 2006, Australia
- Boston University School of Medicine, Department of Medicine, Rheumatology and Clinical Epidemiology, USA
- Centre for Health Systems and Safety Research, Australian Institute of Health Innovation Faculty of Medicine, Health and Human Sciences, Macquarie University, NSW 2109, Australia
| | - Vasant Hirani
- Centre for Education and Research on Aging, Concord Hospital, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
- ARC Centre of Excellence in Population Aging Research, University of Sydney, Sydney, New South Wales, Australia
- School of Life and Environmental Sciences, Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Shivani Sahni
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - David T. Felson
- Boston University School of Medicine, Department of Medicine, Rheumatology and Clinical Epidemiology, USA
- Central Manchester Foundation Trust and University of Manchester, Manchester UK
| | - Vasi Naganathan
- Centre for Education and Research on Aging, Concord Hospital, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
- School of Public Health, University of Sydney, Sydney, New South Wales, Australia
| | - Fiona Blyth
- Aging and Alzheimer’s Institute, Concord Hospital, Sydney, New South Wales, Australia
| | - David Le Couteur
- Centre for Education and Research on Aging, Concord Hospital, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
- ARC Centre of Excellence in Population Aging Research, University of Sydney, Sydney, New South Wales, Australia
- School of Public Health, University of Sydney, Sydney, New South Wales, Australia
| | - David Handelsman
- Centre for Education and Research on Aging, Concord Hospital, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
- ARC Centre of Excellence in Population Aging Research, University of Sydney, Sydney, New South Wales, Australia
- School of Public Health, University of Sydney, Sydney, New South Wales, Australia
- Aging and Alzheimer’s Institute, Concord Hospital, Sydney, New South Wales, Australia
| | - Markus J Seibel
- ANZAC Research Institute, Concord Hospital, University of Sydney, Sydney, New South Wales, Australia
| | - Louise Waite
- Bone Research Program, ANZAC Research Institute, and Department of Endocrinology and Metabolism, Concord Hospital, University of Sydney, Sydney, New South Wales, Australia
| | - Douglas P Kiel
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Robert Cumming
- Centre for Health Systems and Safety Research, Australian Institute of Health Innovation Faculty of Medicine, Health and Human Sciences, Macquarie University, NSW 2109, Australia
- Centre for Education and Research on Aging, Concord Hospital, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
- School of Public Health, University of Sydney, Sydney, New South Wales, Australia
| |
Collapse
|
43
|
Millar CL, Costa E, Jacques PF, Dufour AB, Kiel DP, Hannan MT, Sahni S. Adherence to the Mediterranean-style diet and high intake of total carotenoids reduces the odds of frailty over 11 years in older adults: Results from the Framingham Offspring Study. Am J Clin Nutr 2022; 116:630-639. [PMID: 35551593 PMCID: PMC9437990 DOI: 10.1093/ajcn/nqac130] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 01/31/2022] [Accepted: 05/06/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND The benefit of a Mediterranean-style diet in reducing frailty is not well established in older Americans. OBJECTIVES We sought to determine associations of a Mediterranean-style dietary pattern and related antioxidants with frailty onset and worsening of the Fried phenotype in adults. METHODS This prospective study included 2384 nonfrail adults from the Framingham Offspring Study with a Mediterranean-style dietary pattern score (MSDPS) and data on antioxidant intakes (vitamin C, E, and total carotenoids) estimated from an FFQ at the index examination (1998-2001) and 1 prior examination (if available), as well as a frailty assessment at the index examination and at least 1 follow-up. Frailty onset was defined as ≥3 of 5 Fried frailty phenotype criteria at follow-up and the worsening of the Fried frailty phenotype was defined as an increased number of frailty criteria over follow-up (yes or no). Logistic regression with generalized estimating equations estimated ORs and 95% CIs, adjusting for confounders. Analyses were stratified by age (<60 and ≥60 years) for significant interactions. RESULTS The mean ± SD age was 60 ± 9 years (range, 33-86 years) and 55% were female. In adjusted models, a 1-unit higher MSDPS reduced the odds of frailty by 3% (OR, 0.97; 95% CI: 0.96-0.99). Each 10-mg higher total carotenoid and vitamin E intake reduced the odds of frailty by 16% (OR, 0.84; 95% CI: 0.73-0.98) and 1% (OR, 0.99; 95% CI: 0.98-1.00), respectively. No association with vitamin C (P = 0.36) was observed. The associations among participants aged <60 years of age were stronger for each 1-unit higher MSDPS (OR, 0.93; 95% CI: 0.89-0.96) and total carotenoid intake (OR, 0.59; 95% CI: 0.41-0.82) than those observed in older individuals [ORs, 0.98 (95% CI: 0.97-1.00) and 0.92 (95% CI: 0.79-1.08), respectively]. CONCLUSIONS Our findings suggest that adherence to a Mediterranean-style diet and higher total carotenoid intake are associated with frailty prevention over time, particularly in adults <60 years.
Collapse
Affiliation(s)
- Courtney L Millar
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Elise Costa
- The University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Paul F Jacques
- Nutritional Epidemiology Program, Jean Mayer, USDA Human Nutrition Research Center on Aging, Tufts University, Friedman School of Nutrition, Boston, MA, USA
| | - Alyssa B Dufour
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Douglas P Kiel
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Marian T Hannan
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | | |
Collapse
|
44
|
Millar CL, Kiel DP, Hannan MT, Sahni S. Dairy food intake is not associated with spinal trabecular bone score in men and women: the Framingham Osteoporosis Study. Nutr J 2022; 21:26. [PMID: 35538577 PMCID: PMC9092785 DOI: 10.1186/s12937-022-00781-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Accepted: 04/29/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Previous studies reported that dairy foods are associated with higher areal bone mineral density (BMD) in older adults. However, data on bone texture are lacking. We determined the association of dairy food intake (milk, yogurt, cheese, milk + yogurt and milk + yogurt + cheese) with spinal trabecular bone score (TBS). METHODS In this cross-sectional study, a validated semi-quantitative food frequency questionnaire was used to assess dairy food intake (servings/wk). TBS, an analysis of bone texture, was calculated from dual energy X-ray absorptiometry (DXA) scans. Sex-specific multivariable linear regression was used to estimate the association of dairy food intake (energy adjusted via residual methods) with each bone measure adjusting for covariates. RESULTS Mean age of 4,740 participants was 49 (SD: 13) years and mean milk + yogurt + cheese intake was 10.1 (SD: 8.4) servings/week in men and 10.9 (SD: 8.0) servings/week in women. There were no associations between dairy food intake and spinal TBS in adjusted models. CONCLUSIONS In this cohort of primarily healthy adults, dairy intake was not associated with bone texture.
Collapse
Affiliation(s)
- Courtney L Millar
- Department of Medicine, Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Beth Israel Deaconess Medical Center and Harvard Medical School, 1200 Centre Street, Boston, MA, 02131, USA
| | - Douglas P Kiel
- Department of Medicine, Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Beth Israel Deaconess Medical Center and Harvard Medical School, 1200 Centre Street, Boston, MA, 02131, USA
| | - Marian T Hannan
- Department of Medicine, Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Beth Israel Deaconess Medical Center and Harvard Medical School, 1200 Centre Street, Boston, MA, 02131, USA
| | - Shivani Sahni
- Department of Medicine, Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Beth Israel Deaconess Medical Center and Harvard Medical School, 1200 Centre Street, Boston, MA, 02131, USA.
| |
Collapse
|
45
|
Orwoll ES, Parimi N, Wiedrick J, Lapidus J, Napoli N, Wilkinson JE, Huttenhower C, Langsetmo L, Kiel DP. Analysis of the Associations Between the Human Fecal Microbiome and Bone Density, Structure, and Strength: The Osteoporotic Fractures in Men (MrOS) Cohort. J Bone Miner Res 2022; 37:597-607. [PMID: 35119137 PMCID: PMC9605688 DOI: 10.1002/jbmr.4518] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 12/27/2021] [Accepted: 01/13/2022] [Indexed: 11/08/2022]
Abstract
In preclinical models, the composition and function of the gut microbiota have been linked to bone growth and homeostasis, but there are few available data from studies of human populations. In a hypothesis-generating experiment in a large cohort of community-dwelling older men (n = 831; age range, 78-98 years), we explored the associations between fecal microbial profiles and bone density, microarchitecture, and strength measured with total hip dual-energy X-ray absorptiometry (DXA) and high-resolution peripheral quantitative computed tomography (HRpQCT) (distal radius, distal and diaphyseal tibia). Fecal samples were collected and the 16S rRNA gene V4 hypervariable region sequenced. Sequences were bioinformatically processed through the DADA2 pipeline and then taxonomically assigned using SILVA. Generalized linear models as implemented in microbiome multivariable association with linear models (MaAsLin 2) were used to test for associations between skeletal measures and specific microbial genera. The abundances of four bacterial genera were weakly associated with bone density, structure, or strength (false discovery rate [FDR] ≤ 0.05), and the measured directions of associations of genera were generally consistent across multiple bone measures, supporting a role for microbiota on skeletal homeostasis. However, the associated effect sizes were small (log2 fold change < ±0.35), limiting power to confidently identify these associations even with high resolution skeletal imaging phenotypes, and we assessed the resulting implications for the design of future cohort-based studies. As in analogous examples from genomewide association studies, we find that larger cohort sizes will likely be needed to confidently identify associations between the fecal microbiota and skeletal health relying on 16S sequencing. Our findings bolster the view that the gut microbiome is associated with clinically important measures of bone health, while also indicating the challenges in the design of cohort-based microbiome studies. © 2022 American Society for Bone and Mineral Research (ASBMR).
Collapse
Affiliation(s)
- Eric S Orwoll
- Department of Medicine, Oregon Health & Sciences University, Portland, OR, USA
| | - Neeta Parimi
- San Francisco Coordinating Center, San Francisco, CA, USA
| | - Jack Wiedrick
- Biostatistics & Design Program, Oregon Health & Science University, Portland, OR, USA
| | - Jodi Lapidus
- Biostatistics & Design Program, Oregon Health & Science University, Portland, OR, USA.,Oregon Health & Science University - Portland State University School of Public Health, Portland, OR, USA
| | - Nicola Napoli
- Department of Medicine, Unit of Endocrinology and Diabetes, Campus Bio-Medico University of Rome, Rome, Italy.,Division of Bone and Mineral Diseases, Washington University, St Louis, MO, USA
| | - Jeremy E Wilkinson
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Curtis Huttenhower
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Lisa Langsetmo
- School of Public Health, University of Minnesota, Twin Cities, Minneapolis, MN, USA
| | - Douglas P Kiel
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew Senior Life, Boston, MA, USA.,Department of Medicine, Beth Israel Deaconess Medical Center & Harvard Medical School, Boston, MA, USA.,Broad Institute of MIT & Harvard, Cambridge, MA, USA
| |
Collapse
|
46
|
Zhang T, Wilson IB, Zullo AR, Meyers DJ, Lee Y, Daiello LA, Kim DH, Kiel DP, Shireman TI, Berry SD. Hip Fracture Rates in Nursing Home Residents With and Without HIV. J Am Med Dir Assoc 2022; 23:517-518. [PMID: 34582781 PMCID: PMC8938961 DOI: 10.1016/j.jamda.2021.08.040] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 08/27/2021] [Accepted: 08/28/2021] [Indexed: 11/21/2022]
Affiliation(s)
- Tingting Zhang
- Department of Health Services, Policy & Practice, Brown University School of Public Health, Providence, RI, USA.
| | - Ira B Wilson
- Department of Health Services, Policy & Practice, Brown University School of Public Health, Providence, RI, USA
| | - Andrew R Zullo
- Department of Health Services, Policy & Practice, Brown University School of Public Health, Providence, RI, USA
| | - David J Meyers
- Department of Health Services, Policy & Practice, Brown University School of Public Health, Providence, RI, USA
| | - Yoojin Lee
- Department of Health Services, Policy & Practice, Brown University School of Public Health, Providence, RI, USA
| | - Lori A Daiello
- Department of Health Services, Policy & Practice, Brown University School of Public Health, Providence, RI, USA
| | - Dae Hyun Kim
- Hebrew SeniorLife, Hinda and Arthur Marcus Institute for Aging Research & Beth Israel Deaconess Medical Center, Department of Medicine, Harvard Medical School, 1200 Centre Street, Boston, MA, USA
| | - Douglas P Kiel
- Hebrew SeniorLife, Hinda and Arthur Marcus Institute for Aging Research & Beth Israel Deaconess Medical Center, Department of Medicine, Harvard Medical School, 1200 Centre Street, Boston, MA, USA
| | - Theresa I Shireman
- Department of Health Services, Policy & Practice, Brown University School of Public Health, Providence, RI, USA
| | - Sarah D Berry
- Hebrew SeniorLife, Hinda and Arthur Marcus Institute for Aging Research & Beth Israel Deaconess Medical Center, Department of Medicine, Harvard Medical School, 1200 Centre Street, Boston, MA, USA
| |
Collapse
|
47
|
Whittier DE, Samelson EJ, Hannan MT, Burt LA, Hanley DA, Biver E, Szulc P, Sornay-Rendu E, Merle B, Chapurlat R, Lespessailles E, Wong AKO, Goltzman D, Khosla S, Ferrari S, Bouxsein ML, Kiel DP, Boyd SK. Bone Microarchitecture Phenotypes Identified in Older Adults Are Associated With Different Levels of Osteoporotic Fracture Risk. J Bone Miner Res 2022; 37:428-439. [PMID: 34953074 PMCID: PMC9249128 DOI: 10.1002/jbmr.4494] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 11/30/2021] [Accepted: 12/14/2021] [Indexed: 11/12/2022]
Abstract
Prevalence of osteoporosis is more than 50% in older adults, yet current clinical methods for diagnosis that rely on areal bone mineral density (aBMD) fail to detect most individuals who have a fragility fracture. Bone fragility can manifest in different forms, and a "one-size-fits-all" approach to diagnosis and management of osteoporosis may not be suitable. High-resolution peripheral quantitative computed tomography (HR-pQCT) provides additive information by capturing information about volumetric density and microarchitecture, but interpretation is challenging because of the complex interactions between the numerous properties measured. In this study, we propose that there are common combinations of bone properties, referred to as phenotypes, that are predisposed to different levels of fracture risk. Using HR-pQCT data from a multinational cohort (n = 5873, 71% female) between 40 and 96 years of age, we employed fuzzy c-means clustering, an unsupervised machine-learning method, to identify phenotypes of bone microarchitecture. Three clusters were identified, and using partial correlation analysis of HR-pQCT parameters, we characterized the clusters as low density, low volume, and healthy bone phenotypes. Most males were associated with the healthy bone phenotype, whereas females were more often associated with the low volume or low density bone phenotypes. Each phenotype had a significantly different cumulative hazard of major osteoporotic fracture (MOF) and of any incident osteoporotic fracture (p < 0.05). After adjustment for covariates (cohort, sex, and age), the low density followed by the low volume phenotype had the highest association with MOF (hazard ratio = 2.96 and 2.35, respectively), and significant associations were maintained when additionally adjusted for femoral neck aBMD (hazard ratio = 1.69 and 1.90, respectively). Further, within each phenotype, different imaging biomarkers of fracture were identified. These findings suggest that osteoporotic fracture risk is associated with bone phenotypes that capture key features of bone deterioration that are not distinguishable by aBMD. © 2021 American Society for Bone and Mineral Research (ASBMR).
Collapse
Affiliation(s)
- Danielle E Whittier
- McCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Elizabeth J Samelson
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew Senior Life, Boston, MA, USA.,Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Marian T Hannan
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew Senior Life, Boston, MA, USA.,Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Lauren A Burt
- McCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - David A Hanley
- McCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Emmanuel Biver
- Division of Bone Diseases, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Pawel Szulc
- INSERM UMR1033, Université de Lyon, Hôpital Edouard Herriot, Lyon, France
| | | | - Blandine Merle
- INSERM UMR1033, Université de Lyon, Hôpital Edouard Herriot, Lyon, France
| | - Roland Chapurlat
- INSERM UMR1033, Université de Lyon, Hôpital Edouard Herriot, Lyon, France
| | - Eric Lespessailles
- Regional Hospital of Orleans, PRIMMO, Orleans, France.,EA 4708-I3MTO, University of Orleans, Orleans, France
| | - Andy Kin On Wong
- Joint Department of Medical Imaging, University Health Network, Toronto, Canada.,Department of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - David Goltzman
- Department of Medicine, McGill University and McGill University Health Centre, Quebec, Canada
| | - Sundeep Khosla
- Kogod Center on Aging and Division of Endocrinology, Mayo Clinic, Rochester, MN, USA
| | - Serge Ferrari
- Division of Bone Diseases, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Mary L Bouxsein
- Center for Advanced Orthopedic Studies, BIDMC, Boston, MA, USA.,Endocrine Unit, Massachusetts General Hospital, Boston, MA, USA.,Department of Orthopedic Surgery, Harvard Medical School, Boston, MA, USA
| | - Douglas P Kiel
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew Senior Life, Boston, MA, USA.,Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Steven K Boyd
- McCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary, Canada
| |
Collapse
|
48
|
Seligman BJ, Berry SD, Lipsitz LA, Travison TG, Kiel DP. Epigenetic Age Acceleration and Change in Frailty in MOBILIZE Boston. J Gerontol A Biol Sci Med Sci 2022; 77:1760-1765. [PMID: 35037036 PMCID: PMC9434439 DOI: 10.1093/gerona/glac019] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Indexed: 01/19/2023] Open
Abstract
Age-associated changes in DNA methylation have been implicated as 1 mechanism to explain the development of frailty; however, previous cross-sectional studies of epigenetic age acceleration (eAA) and frailty have had inconsistent findings. Few longitudinal studies have considered the association of eAA with change in frailty. We sought to determine the association between eAA and change in frailty in the MOBILIZE Boston cohort. Participants were assessed at 2 visits 12-18 months apart. Intrinsic, extrinsic, GrimAge, and PhenoAge eAA were assessed from whole-blood DNA methylation at baseline using the Infinium 450k array. Frailty was assessed by a continuous frailty score based on the frailty phenotype and by frailty index (FI). Analysis was by correlation and linear regression with adjustment for age, sex, smoking status, and body mass index. Three hundred and ninety-five participants with a frailty score and 431 with an FI had epigenetic and follow-up frailty measures. Mean (standard deviation) ages were 77.8 (5.49) and 77.9 (5.47) for the frailty score and the FI cohorts respectively, and 232 (58.7%) and 257 (59.6%) were female. All participants with epigenetic data identified as White. Baseline frailty score was not correlated with intrinsic or extrinsic eAA, but was correlated with PhenoAge and, even after adjustment for covariates, GrimAge. Baseline FI was correlated with extrinsic, GrimAge, and PhenoAge eAA with and without adjustment. No eAA measure was associated with change in frailty, with or without adjustment. Our results suggest that no eAA measure was associated with change in frailty. Further studies should consider longer periods of follow-up and repeated eAA measurement.
Collapse
Affiliation(s)
- Benjamin J Seligman
- Address correspondence to: Benjamin J. Seligman, MD, PhD, Division of Geriatric Medicine, Department of Medicine, David Geffen School of Medicine, 1100 Glendon Avenue, 710–714, Los Angeles, CA 90024, USA. E-mail:
| | - Sarah D Berry
- Division of Gerontology, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA,Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, Massachusetts, USA,Harvard Medical School, Boston, Massachusetts, USA
| | - Lewis A Lipsitz
- Division of Gerontology, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA,Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, Massachusetts, USA,Harvard Medical School, Boston, Massachusetts, USA
| | - Thomas G Travison
- Division of Gerontology, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA,Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, Massachusetts, USA,Harvard Medical School, Boston, Massachusetts, USA
| | - Douglas P Kiel
- Division of Gerontology, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA,Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, Massachusetts, USA,Harvard Medical School, Boston, Massachusetts, USA,Broad Institute of MIT & Harvard, Cambridge, Massachusetts, USA
| |
Collapse
|
49
|
Lee DS, Zullo AR, Lee Y, Daiello LA, Kim DH, Kiel DP, Berry SD. Discontinuation of beta-blockers among nursing home residents at end of life. J Am Geriatr Soc 2022; 70:200-207. [PMID: 34669190 PMCID: PMC8742763 DOI: 10.1111/jgs.17493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Revised: 09/01/2021] [Accepted: 09/04/2021] [Indexed: 01/03/2023]
Abstract
BACKGROUND Given limited life expectancy of nursing home (NH) residents, harms of continuing beta-blockers (BBs) may outweigh clinical benefits. Our objective was to describe beta-blocker discontinuation for NH residents during the last year of life, and identify characteristics associated with earlier discontinuation. METHODS This was a retrospective cohort study that included all long-stay residents in fee-for-service Medicare who died in 2016 and were prescribed oral BBs 1 year before death. Beta-blocker discontinuation was defined as a gap in medication on hand for ≥45 days per Medicare Part D claims, measured from the last date drug was on hand. Comorbidities were obtained from Chronic Condition Warehouse, and other characteristics from the Minimum Data Set. Kaplan-Meier curves were used to describe time to first discontinuation. Findings were stratified by cardiac diagnoses, perceived life expectancy of <6 months, or elevated mortality index. RESULTS Eighty-eight thousand two hundred and eighty-four residents were prescribed ≥1 daily BB 12 months before death. Mean age was 84.1 years and 69.2% were female. Of these, 60,573 residents (68.6%) remained on a BB in the last 45 days of life, and 57,880 residents (65.6%) had ≥1 cardiac diagnosis. Only 5239 residents (5.9%) had elevated mortality index, whereas 16,798 residents (19.0%) had perceived poor prognosis. In the last year of life, there was no difference in beta-blocker discontinuation pattern between residents with and without cardiac diagnoses. Residents with perceived poor prognosis and elevated mortality index discontinued BBs earlier. For example, mean time until discontinuation among residents with poor perceived prognosis was 245 versus 279 days in residents without such prognosis (p < 0.0001). CONCLUSIONS BBs are commonly prescribed to NH residents in the final year of life. Overall, discontinuation occurs earlier in residents for whom clinicians perceive limited life expectancy, suggesting that improved prognostication may offer an important opportunity to reduce polypharmacy toward end of life.
Collapse
Affiliation(s)
| | | | - Yoojin Lee
- Brown University School of Public Health
| | | | - Dae Hyun Kim
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife,Beth Israel Deaconess Medical Center & Harvard Medical School
| | - Douglas P. Kiel
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife,Beth Israel Deaconess Medical Center & Harvard Medical School
| | - Sarah D. Berry
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife,Beth Israel Deaconess Medical Center & Harvard Medical School
| |
Collapse
|
50
|
Teh R, Prince RL, Sim M, Schousboe JT, Raymond WD, Szulc P, Lim W, Hodgson JM, Zhu K, Kiel DP, Schultz C, Thompson PL, Lewis JR. Abdominal aortic calcification, cardiac troponin I and atherosclerotic vascular disease mortality in older women. Heart 2021; 108:1274-1280. [PMID: 34952862 DOI: 10.1136/heartjnl-2021-319879] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Accepted: 11/22/2021] [Indexed: 11/03/2022] Open
Abstract
OBJECTIVE Examine if two inexpensive measures of atherosclerotic vascular diseases (ASVD), abdominal aortic calcification (AAC) and high-sensitivity cardiac troponin I (hs-cTnI) provide complementary information for 10-year ASVD mortality and all-cause mortality risk in older women. METHODS 908 community-dwelling women without prevalent ASVD (≥75 years) were followed-up between 2003 and 2013. AAC and plasma hs-cTnI measures were obtained in 2003. AAC was assessed on lateral spine images using a semiquantitative method (AAC24). Linked health records were used for mortality outcomes. RESULTS Mean±SD age was 79.9±2.6 years. 276 (30.4%) women died during follow-up, including 138 (15.2%) ASVD-related deaths. AAC24 and hs-cTnI were independently associated with ASVD and all-cause mortality (p<0.001). The cohort was dichotomised into four groups: (1) low AAC24 (AAC24: 0 or 1) and <median hs-cTnI (n=163, referent), (2) moderate-extensive AAC24 (AAC24:>1) and <median hs-cTnI (n=280), (3) low AAC24 and ≥median hs-cTnI (n=148) and (4) moderate-extensive AAC24 and ≥median hs-cTnI (n=317). Compared with the referent group, a stepwise increase in relative hazard (HR (95% CI)) for ASVD mortality was seen at 2.39 (1.05 to 5.46), 3.18 (1.35 to 7.79) and 5.38 (2.44 to 11.85), respectively. A similar associations were observed for all-cause mortality, at 1.58 (0.99-2.52), 2.38 (1.46-3.89) and 3.02 (1.93-4.72), respectively (all p<0.05). CONCLUSION Higher AAC and elevated hs-cTnI were associated with higher risk of ASVD mortality and all-cause mortality, independent of each other. Stratifying by moderate to extensive AAC and elevated hs-cTnI identified women at very high risk. Further studies investigating whether combining factors may improve risk prediction are needed. TRIAL REGISTRATION NUMBER ACTRN12617000640303.
Collapse
Affiliation(s)
- Ryan Teh
- Medical School, The University of Western Australia, Perth, Western Australia, Australia.,Fiona Stanley Hospital, Murdoch, Western Australia, Australia
| | - Richard L Prince
- Medical School, The University of Western Australia, Perth, Western Australia, Australia.,Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia
| | - Marc Sim
- Medical School, The University of Western Australia, Perth, Western Australia, Australia.,Institute for Nutrition Research, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
| | - John T Schousboe
- Park Nicollet Osteoporosis Center and Health Partners Institute, Minneapolis, Division of Health Policy and Management, University of Minnesota, Minneapolis, Minnesota, USA
| | - Warren D Raymond
- Medical School, The University of Western Australia, Perth, Western Australia, Australia.,Institute for Nutrition Research, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
| | - Pawel Szulc
- INSERM UMR1033, University of Lyon, Hôpital Edouard Herriot, Lyon, France
| | - Wai Lim
- Medical School, The University of Western Australia, Perth, Western Australia, Australia.,Department of Renal Medicine, Sir Charles Gairdner Hospital, Perth, Western Australia, Australia
| | - Jonathan M Hodgson
- Medical School, The University of Western Australia, Perth, Western Australia, Australia.,Institute for Nutrition Research, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
| | - Kun Zhu
- Medical School, The University of Western Australia, Perth, Western Australia, Australia.,Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia
| | - Douglas P Kiel
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - Carl Schultz
- Medical School, The University of Western Australia, Perth, Western Australia, Australia.,Department of Cardiology, Royal Perth Hospital Campus, School of Medicine and Pharmacology, University of Western Australia, Perth, Western Australia, Australia
| | - Peter L Thompson
- Medical School, The University of Western Australia, Perth, Western Australia, Australia.,Department of Cardiovascular Medicine, Sir Charles Gairdner Hospital, Perth, Western Australia, Australia.,Harry Perkins Institute of Medical Research, Nedlands, Western Australia, Australia
| | - Joshua R Lewis
- Medical School, The University of Western Australia, Perth, Western Australia, Australia .,Institute for Nutrition Research, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia.,Centre for Kidney Research, Sydney Medical School, School of Public Health, The University of Sydney, Sydney, New South Wales, Australia
| |
Collapse
|