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Paulin TK, Malmgren L, McGuigan FE, Akesson KE. Osteosarcopenia: Prevalence and 10-Year Fracture and Mortality Risk - A Longitudinal, Population-Based Study of 75-Year-Old Women. Calcif Tissue Int 2024; 114:315-325. [PMID: 38300303 PMCID: PMC10957698 DOI: 10.1007/s00223-023-01181-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 12/28/2023] [Indexed: 02/02/2024]
Abstract
Osteosarcopenia is the coexistence of low bone mass and sarcopenia. In older women, its prevalence is not well described, and it is unknown if sarcopenia is additive to low bone mass for fracture and mortality risk. The study investigated prevalence of osteosarcopenia and if osteosarcopenia is associated with higher fracture and mortality risk than low bone mass alone in older community-dwelling women. The longitudinal, population-based OPRA Cohort (n = 1044), all aged 75 at inclusion, followed for 10 years. Using WHO and EWGSOP2 definitions for low bone mass (T-score < -1.0 femoral neck) and sarcopenia (knee strength; appendicular lean muscle mass) women were categorized (1) Normal, (2) Low bone mass (LBM), and 3) Osteosarcopenia (probable; confirmed). Risk of hip, major osteoporotic fracture, and mortality were estimated. Osteosarcopeniaconfirmed prevalence increased from age 75 to 80 and 85 from 3.0% (29/970) to 4.9% (32/656) to 9.2% (33/358) but prevalence is potentially 2-4 times higher (11.8%, 13.4%, 20.3%) based on osteosarcopeniaprobable. Having osteosarcopeniaprobable significantly increased 10-year risk of hip fracture (HRadj 2.67 [1.34-5.32]), major osteoporotic fracture (HRadj 2.04 [1.27-3.27]), and mortality (HRadj 1.91 [1.21-3.04]). In contrast, LBM increased osteoporotic fracture risk (HRadj 2.08 [1.46-2.97], but not hip fracture (HRadj 1.62 [0.92-2.85]) or mortality (HRadj 0.94 [0.64-1.38]). Median time-to-hip fracture was 7.6 years (normal), 6.0 years (LBM), and 5.7 years (osteosarcopeniaprobable). Prevalence of confirmed osteosarcopenia is almost 10% at age 85. Probable osteosarcopenia significantly increased risk of hip and major osteoporotic fractures and mortality more so than low bone mass alone.
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Affiliation(s)
- Tine Kolenda Paulin
- Department of Clinical Sciences Malmö, Clinical and Molecular Osteoporosis Research Unit, Lund University, Malmö, Sweden.
- Department of Geriatrics, Skåne University Hospital, Malmö, Sweden.
| | - Linnea Malmgren
- Department of Clinical Sciences Malmö, Clinical and Molecular Osteoporosis Research Unit, Lund University, Malmö, Sweden
- Department of Geriatrics, Skåne University Hospital, Malmö, Sweden
| | - Fiona E McGuigan
- Department of Clinical Sciences Malmö, Clinical and Molecular Osteoporosis Research Unit, Lund University, Malmö, Sweden
| | - Kristina E Akesson
- Department of Clinical Sciences Malmö, Clinical and Molecular Osteoporosis Research Unit, Lund University, Malmö, Sweden
- Department of Orthopaedics, Skåne University Hospital, Malmö, Sweden
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Mitchell A, Malmgren L, Bartosch P, McGuigan FE, Akesson KE. Pro-Inflammatory Proteins Associated with Frailty and Its Progression-A Longitudinal Study in Community-Dwelling Women. J Bone Miner Res 2023; 38:1076-1091. [PMID: 37254268 DOI: 10.1002/jbmr.4861] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 05/03/2023] [Accepted: 05/22/2023] [Indexed: 06/01/2023]
Abstract
The complex pathophysiology underlying biological aging creates challenges for identifying biomarkers associated with frailty. This longitudinal, nontargeted proteomics study aimed to identify proteins associated with frailty, particularly the change from nonfrail to frail. The population-based Osteoporosis Prospective Risk Assessment cohort includes women all of whom are 75 years old at inclusion (n = 1044) and reassessed at 80 years (n = 715) and 85 years (n = 382). A deficits in health frailty index (FI) and 92 plasma proteins (Olink CVD-II panel) were available at all ages. The identical age facilitated differentiating chronological and biological aging. Bidirectional analyses, performed cross-sectionally and longitudinally, used regression models controlled for false discovery rate (FDR), across 5- and 10-year time windows and longitudinal mixed models. Frailty outcomes were frailty index, frailty status (frail defined as FI ≥ 0.25), change in frailty index, and change in frailty status, together with protein expression or change in protein expression. Elevated levels of 32 proteins were positively associated with the FI, cross-sectionally at all ages (range: β-coefficients 0.22-2.06; FDR 0.021-0.024), of which 18 were also associated with frailty status (range: odds ratios 1.40-5.77; FDR 0.022-0.016). Based on the accrued data, eight core proteins (CD4, FGF23, Gal-9, PAR-1, REN, TNFRSF10A TNFRSF11A, and TNFRSF10B) are proposed. A one-unit change in the FI was additively associated with increased protein expression over 5 and 10 years (range: β-coefficients 0.52-1.59; p < 0.001). Increments in baseline FI consistently associated with a change in protein expression over time (5 years, β-range 0.05-1.35; 10 years, β-range 0.51-1.48; all p < 0.001). A one-unit increase in protein expression was also associated with an increased probability of being frail (FI ≥ 0.25) (β-range: 0.14-0.61). Mirroring the multisystem deterioration that typifies frailty, the proteins and their associated biological pathways reflect pathologies, including the renal system, skeletal homeostasis, and TRAIL-activated apoptotic signaling. The core proteins are compelling candidates for understanding the development and progression of frailty with advancing age, including the intrinsic musculoskeletal component. © 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).
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Affiliation(s)
- Adam Mitchell
- Department of Clinical Sciences Malmö, Clinical and Molecular Osteoporosis Research Unit, Lund University, Malmö, Sweden
- Department of Orthopedics, Skåne University Hospital, Malmö, Sweden
| | - Linnea Malmgren
- Department of Clinical Sciences Malmö, Clinical and Molecular Osteoporosis Research Unit, Lund University, Malmö, Sweden
- Department of Geriatrics, Skåne University Hospital, Malmö, Sweden
| | - Patrik Bartosch
- Department of Clinical Sciences Malmö, Clinical and Molecular Osteoporosis Research Unit, Lund University, Malmö, Sweden
- Department of Orthopedics, Skåne University Hospital, Malmö, Sweden
| | - Fiona Elizabeth McGuigan
- Department of Clinical Sciences Malmö, Clinical and Molecular Osteoporosis Research Unit, Lund University, Malmö, Sweden
- Department of Orthopedics, Skåne University Hospital, Malmö, Sweden
| | - Kristina E Akesson
- Department of Clinical Sciences Malmö, Clinical and Molecular Osteoporosis Research Unit, Lund University, Malmö, Sweden
- Department of Orthopedics, Skåne University Hospital, Malmö, Sweden
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Kaskirbayeva D, West R, Jaafari H, King N, Howdon D, Shuweihdi F, Clegg A, Nikolova S. Progression of frailty as measured by a cumulative deficit index: A systematic review. Ageing Res Rev 2023; 84:101789. [PMID: 36396032 DOI: 10.1016/j.arr.2022.101789] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 11/08/2022] [Accepted: 11/11/2022] [Indexed: 11/16/2022]
Abstract
BACKGROUND Frailty is a risk factor for adverse health outcomes. There is a paucity of literature on frailty progression defined by a cumulative deficit model among community dwelling older people. The objective of this review was to synthesise evidence on these changes in health and mortality among community-dwelling older people. METHODS Six databases (Medline, Embase, CINAHL, Cochrane, PsycInfo, Web of Science) and a clinical trials registry were searched in July 2021. The inclusion criteria were studies using a frailty index and providing information on transition between frailty states or to death in community-dwelling older people aged ≥ 50. Exclusion criteria were studies examining specific health conditions, conference abstracts and non-English studies. To standardise the follow-up period and facilitate comparison, we converted the transition probabilities to annual transition rates. RESULTS Two reviewers independently screened 5078 studies and 61 studies were included for analysis. Of these, only three used the same frailty state cut-points to facilitate cross-cohort comparison. This review found that frailty tends to increase with time, people who are frail at baseline have greater likelihood to progress in frailty and die, and the main factor that accelerates frailty progression is age. Other risk factors for progression are having chronic disease, smoking, obesity, low-income or/and low-education levels. A frailty index is an accurate predictor of adverse outcomes and death. DISCUSSION This systematic review demonstrated that worsening in frailty was a common frailty transition, and older people who are frail at baseline are more likely to die. A frailty index has significant power to predict adverse health outcomes. It is a useful tool for within-cohort comparison but there are challenges comparing different cohorts due to dependence of frailty progression on age and differences in how frailty index is defined and measured.
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Affiliation(s)
| | - Robert West
- Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - Hussain Jaafari
- Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - Natalie King
- Academic Unit of Health Economics, University of Leeds, Leeds, UK
| | - Daniel Howdon
- Academic Unit of Health Economics, University of Leeds, Leeds, UK
| | - Farag Shuweihdi
- Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - Andrew Clegg
- Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
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Diabetes Mellitus is Associated with Poor Bone Microarchitecture in Older Adults Residing in Long-Term Care Facilities. J Osteoporos 2022; 2022:2522014. [PMID: 36578470 PMCID: PMC9792231 DOI: 10.1155/2022/2522014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 12/02/2022] [Accepted: 12/13/2022] [Indexed: 12/23/2022] Open
Abstract
OBJECTIVES Both diabetes mellitus (DM) and osteoporosis are very common in older adults who reside in long-term care (LTC) facilities. Nevertheless, few studies have examined the relationship between diabetes and bone quality in this population. The purpose of this study is to determine if bone mineral density (BMD) or trabecular bone score (TBS) is a better measure of bone quality and skeletal health, in LTC residents with and without a history of DM. Methodology. In this longitudinal cohort study, we examined baseline BMD (lumbar spine, total hip, and femoral neck), TBS, DM, and functional status in 511 LTC residents who were enrolled in two ongoing randomized placebo-controlled osteoporosis clinical trials. RESULTS On average, participants were older than 80 years and majority were prefrail or frail. Women with DM had greater lumbar spine BMD (1.106 vs 1.017, adjusted difference ± standard error = 0.084 ± 0.023 g/cm2, p = 0.0003) and femoral neck BMD (0.695 vs 0.651, 0.027 ± 0.013 g/cm2, p = 0.0463), but lesser lumbar spine TBS (1.211 vs 1.266, -0.036 ± 0.016, p = 0.0299) compared to women without DM. Total hip BMD was also higher based on descriptive statistics (0.780 vs 0.734, p = 0.6255) in diabetic women, although the difference was not statistically significant. Men had similar but attenuated findings. CONCLUSIONS Among LTC residents, those with DM have greater BMD but lower bone quality measured by TBS. TBS should be considered in assessing older patients with DM. However, further studies are required to confirm the findings with respect to fractures.
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Bartosch P, Malmgren L. Can frailty in conjunction with FRAX identify additional women at risk of fracture - a longitudinal cohort study of community dwelling older women. BMC Geriatr 2022; 22:951. [PMID: 36494774 PMCID: PMC9733205 DOI: 10.1186/s12877-022-03639-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 11/21/2022] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Fracture risk assessment is still far from perfect within the geriatric population. The overall aim of this study is to better identify older women at risk for fractures, using a quantitative measure of frailty in conjunction with the web-based Fracture Risk Assessment Tool (FRAX®). METHODS This study was performed in the Osteoporosis Risk Assessment (OPRA) cohort of n = 1023, 75-year-old women followed for 10-years. A frailty index (FI) of 'deficits in health' was created, and FRAX 10-year probability for major osteoporotic and hip fractures was calculated and bone mineral density measured. Incident fractures were continuously registered for 10-years. Receiver Operating Characteristic (ROC) curves were used to compare FI, FRAX and the combination FI + FRAX as instruments for risk prediction. Discriminative ability was estimated by comparing Area Under the Curve (AUC). In addition, using guidelines from the Swedish Osteoporosis Foundation, a category of low risk women who would not have been recommended for pharmacological treatment (non-treatment group) was identified, categorized by frailty status and for relative risk analysis, hazard ratios (HR) and 95% confidence intervals were calculated using Cox proportional hazard regressions. RESULTS For hip fracture, FRAX and frailty performed almost equally (HIP AUC 10y: 0.566 vs. 0.567, p = 0.015 and p = 0.013). Next, FI was used in conjunction with FRAX; proving marginally better than either score alone (AUC 10y: 0.584, p = 0.002). Comparable results were observed for osteoporotic fracture. In the non-treatment group (564 women), being frail was associated with higher 10y hip fracture risk (HR 2.01 (1.13-3.57)), although failing to reach statistical significance for osteoporotic fracture (HR 1.40 (0.97-2.01). The utility of measuring frailty was also demonstrated when using T-score as an index of bone density to define fracture risk. Among n = 678 non-osteoporotic women, frailty added to the 10-year fracture risk (Hip; HR 2.22 (1.35-3.71); Osteoporotic fracture; HR 1.57 (1.15-2.14)). CONCLUSIONS While the addition of frailty to FRAX marginally improved fracture prediction, applying a frailty measurement to a group of 'low risk' women, identified a set of individuals with high actual hip fracture risk that would not be prioritized for pharmacological treatment. Further cost-benefit analysis studies are needed to formally test potential benefit.
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Affiliation(s)
- Patrik Bartosch
- grid.4514.40000 0001 0930 2361Department of Clinical Sciences Malmö, Clinical and Molecular Osteoporosis Research Unit, Lund University, 214 28 Malmö, Sweden ,grid.411843.b0000 0004 0623 9987Department of Orthopaedics, Skåne University Hospital, Malmö, Sweden
| | - Linnea Malmgren
- grid.4514.40000 0001 0930 2361Department of Clinical Sciences Malmö, Clinical and Molecular Osteoporosis Research Unit, Lund University, 214 28 Malmö, Sweden ,grid.411843.b0000 0004 0623 9987Department of Geriatrics, Skåne University Hospital, 205 02 Malmö, Sweden
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A "snap-shot" visual estimation of health and objectively measured frailty: capturing general health in aging older women. Aging Clin Exp Res 2022; 34:1663-1671. [PMID: 35332507 PMCID: PMC9246768 DOI: 10.1007/s40520-022-02106-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Accepted: 02/27/2022] [Indexed: 11/23/2022]
Abstract
Background In clinic, a subjective visual estimation of a patient’s general health often guides interventions, yet little is known of how this assessment relates to objectively measured frailty. Aims To characterize the relationship between these two assessments and explore the implication of discordance. Methods The study was performed in the OPRA cohort of 75-year old community-dwelling women (n = 1044). Visual perception of health (VPH) was estimated within 15 s from first sight and stratified into tertiles (poor/intermediate/good health). Frailty was measured using a frailty index (FI) (scored 0.0–1.0) and stratified into tertiles: ‘frail’ (≥ 0.22), ‘pre-frail’ (0.13–0-21) and ‘non-frail’ (≤ 0.12). Association between VPH and FI and with 10-year mortality was evaluated using Kaplan Meier curves and Cox proportional hazard models. Results VPH and FI correlated, but was strongest in those perceived to be in poor health (rs = 0.424, p < 0.001). Approximately half of these women were also objectively frail (53.7%). Similarly, 50.7% perceived to be in good health were also objectively non-frail. However, for one in ten, perceived health was discordant with measured frailty. Subjective and objective measures were associated with mortality, but VPH lacked discrimination in healthier looking women (p = 0.372) compared to FI (p = 0.002). Discussion Detecting pre-frailty is important to prevent or slow the transition into a frail state. The frailest can be identified with a visual estimation, but only objective frailty assessments can reliably identity pre-frailty. Conclusions A visual estimation of health provides valuable complementary information on health, whereas objective assessment of frailty has a broader applicability for health in aging. Supplementary Information The online version contains supplementary material available at 10.1007/s40520-022-02106-y.
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E E, Carey JJ, Wang T, Yang L, Chan WP, Whelan B, Silke C, O'Sullivan M, Rooney B, McPartland A, O'Malley G, Brennan A, Yu M, Dempsey M. Conceptual design of the dual X-ray absorptiometry health informatics prediction system for osteoporosis care. Health Informatics J 2022; 28:14604582211066465. [PMID: 35257612 DOI: 10.1177/14604582211066465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Osteoporotic fractures are a major and growing public health problem, which is strongly associated with other illnesses and multi-morbidity. Big data analytics has the potential to improve care for osteoporotic fractures and other non-communicable diseases (NCDs), reduces healthcare costs and improves healthcare decision-making for patients with multi-disorders. However, robust and comprehensive utilization of healthcare big data in osteoporosis care practice remains unsatisfactory. In this paper, we present a conceptual design of an intelligent analytics system, namely, the dual X-ray absorptiometry (DXA) health informatics prediction (HIP) system, for healthcare big data research and development. Comprising data source, extraction, transformation, loading, modelling and application, the DXA HIP system was applied in an osteoporosis healthcare context for fracture risk prediction and the investigation of multi-morbidity risk. Data was sourced from four DXA machines located in three healthcare centres in Ireland. The DXA HIP system is novel within the Irish context as it enables the study of fracture-related issues in a larger and more representative Irish population than previous studies. We propose this system is applicable to investigate other NCDs which have the potential to improve the overall quality of patient care and substantially reduce the burden and cost of all NCDs.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | - Attracta Brennan
- Department of Industrial Engineering, Tsinghua University, Beijing, China
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Foessl I, Bassett JHD, Bjørnerem Å, Busse B, Calado Â, Chavassieux P, Christou M, Douni E, Fiedler IAK, Fonseca JE, Hassler E, Högler W, Kague E, Karasik D, Khashayar P, Langdahl BL, Leitch VD, Lopes P, Markozannes G, McGuigan FEA, Medina-Gomez C, Ntzani E, Oei L, Ohlsson C, Szulc P, Tobias JH, Trajanoska K, Tuzun Ş, Valjevac A, van Rietbergen B, Williams GR, Zekic T, Rivadeneira F, Obermayer-Pietsch B. Bone Phenotyping Approaches in Human, Mice and Zebrafish - Expert Overview of the EU Cost Action GEMSTONE ("GEnomics of MusculoSkeletal traits TranslatiOnal NEtwork"). Front Endocrinol (Lausanne) 2021; 12:720728. [PMID: 34925226 PMCID: PMC8672201 DOI: 10.3389/fendo.2021.720728] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Accepted: 10/21/2021] [Indexed: 12/16/2022] Open
Abstract
A synoptic overview of scientific methods applied in bone and associated research fields across species has yet to be published. Experts from the EU Cost Action GEMSTONE ("GEnomics of MusculoSkeletal Traits translational Network") Working Group 2 present an overview of the routine techniques as well as clinical and research approaches employed to characterize bone phenotypes in humans and selected animal models (mice and zebrafish) of health and disease. The goal is consolidation of knowledge and a map for future research. This expert paper provides a comprehensive overview of state-of-the-art technologies to investigate bone properties in humans and animals - including their strengths and weaknesses. New research methodologies are outlined and future strategies are discussed to combine phenotypic with rapidly developing -omics data in order to advance musculoskeletal research and move towards "personalised medicine".
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Affiliation(s)
- Ines Foessl
- Department of Internal Medicine, Division of Endocrinology and Diabetology, Endocrine Lab Platform, Medical University of Graz, Graz, Austria
| | - J. H. Duncan Bassett
- Molecular Endocrinology Laboratory, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom
| | - Åshild Bjørnerem
- Department of Clinical Medicine, UiT The Arctic University of Norway, Tromsø, Norway
- Norwegian Research Centre for Women’s Health, Oslo University Hospital, Oslo, Norway
| | - Björn Busse
- Department of Osteology and Biomechanics, University Medical Center, Hamburg-Eppendorf, Hamburg, Germany
| | - Ângelo Calado
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Centro Académico de Medicina de Lisboa, Lisboa, Portugal
| | | | - Maria Christou
- Department of Hygiene and Epidemiology, Medical School, University of Ioannina, Ioannina, Greece
| | - Eleni Douni
- Institute for Bioinnovation, Biomedical Sciences Research Center “Alexander Fleming”, Vari, Greece
- Department of Biotechnology, Agricultural University of Athens, Athens, Greece
| | - Imke A. K. Fiedler
- Department of Osteology and Biomechanics, University Medical Center, Hamburg-Eppendorf, Hamburg, Germany
| | - João Eurico Fonseca
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Centro Académico de Medicina de Lisboa, Lisboa, Portugal
- Rheumatology Department, Hospital de Santa Maria, Centro Hospitalar Universitário Lisboa Norte (CHULN), Lisbon Academic Medical Centre, Lisbon, Portugal
| | - Eva Hassler
- Division of Neuroradiology, Vascular and Interventional Radiology, Department of Radiology, Medical University Graz, Graz, Austria
| | - Wolfgang Högler
- Department of Paediatrics and Adolescent Medicine, Johannes Kepler University Linz, Linz, Austria
| | - Erika Kague
- The School of Physiology, Pharmacology and Neuroscience, Biomedical Sciences, University of Bristol, Bristol, United Kingdom
| | - David Karasik
- Azrieli Faculty of Medicine, Bar-Ilan University, Ramat Gan, Israel
| | - Patricia Khashayar
- Center for Microsystems Technology, Imec and Ghent University, Ghent, Belgium
| | - Bente L. Langdahl
- Department of Endocrinology and Internal Medicine, Aarhus University Hospital, Aarhus, Denmark
| | - Victoria D. Leitch
- Innovative Manufacturing Cooperative Research Centre, Royal Melbourne Institute of Technology, School of Engineering, Carlton, VIC, Australia
| | - Philippe Lopes
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Georgios Markozannes
- Department of Hygiene and Epidemiology, Medical School, University of Ioannina, Ioannina, Greece
| | | | | | - Evangelia Ntzani
- Department of Hygiene and Epidemiology, Medical School, University of Ioannina, Ioannina, Greece
- Department of Health Services, Policy and Practice, Center for Research Synthesis in Health, School of Public Health, Brown University, Providence, RI, United States
| | - Ling Oei
- Centre for Bone and Arthritis Research, Institute of Medicine, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
| | - Claes Ohlsson
- Centre for Bone and Arthritis Research, Institute of Medicine, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
- Department of Drug Treatment, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Pawel Szulc
- INSERM UMR 1033, University of Lyon, Lyon, France
| | - Jonathan H. Tobias
- Musculoskeletal Research Unit, Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- MRC Integrative Epidemiology Unit, Bristol Medical School, Bristol, University of Bristol, Bristol, United Kingdom
| | - Katerina Trajanoska
- Department of Internal Medicine, Erasmus MC Rotterdam, Rotterdam, Netherlands
| | - Şansın Tuzun
- Physical Medicine & Rehabilitation Department, Cerrahpasa Medical Faculty, Istanbul University-Cerrahpaşa, Istanbul, Turkey
| | - Amina Valjevac
- Department of Human Physiology, School of Medicine, University of Sarajevo, Sarajevo, Bosnia and Herzegovina
| | - Bert van Rietbergen
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands
| | - Graham R. Williams
- Molecular Endocrinology Laboratory, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom
| | - Tatjana Zekic
- Department of Rheumatology and Clinical Immunology, Faculty of Medicine, Clinical Hospital Center Rijeka, Rijeka, Croatia
| | | | - Barbara Obermayer-Pietsch
- Department of Internal Medicine, Division of Endocrinology and Diabetology, Endocrine Lab Platform, Medical University of Graz, Graz, Austria
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Tembo MC, Mohebbi M, Holloway-Kew KL, Gaston J, Sui SX, Brennan-Olsen SL, Williams LJ, Kotowicz MA, Pasco JA. The contribution of musculoskeletal factors to physical frailty: a cross-sectional study. BMC Musculoskelet Disord 2021; 22:921. [PMID: 34724934 PMCID: PMC8561908 DOI: 10.1186/s12891-021-04795-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Accepted: 10/11/2021] [Indexed: 11/17/2022] Open
Abstract
Background Musculoskeletal conditions and physical frailty have overlapping constructs. We aimed to quantify individual contributions of musculoskeletal factors to frailty. Methods Participants included 347 men and 360 women aged ≥60 yr (median ages; 70.8 (66.1–78.6) and 71.0 (65.2–77.5), respectively) from the Geelong Osteoporosis Study. Frailty was defined as ≥3, pre-frail 1–2, and robust 0, of the following; unintentional weight loss, weakness, low physical activity, exhaustion, and slowness. Measures were made of femoral neck BMD, appendicular lean mass index (ALMI, kg/m2) and whole-body fat mass index (FMI, kg/m2) by DXA (Lunar), SOS, BUA and SI at the calcaneus (Lunar Achilles Insight) and handgrip strength by dynamometers. Binary and ordinal logistic regression models and AUROC curves were used to quantify the contribution of musculoskeletal parameters to frailty. Potential confounders included anthropometry, smoking, alcohol, prior fracture, FMI, SES and comorbidities. Results Overall, 54(15.6%) men and 62(17.2%) women were frail. In adjusted-binary logistic models, SI, ALMI and HGS were associated with frailty in men (OR = 0.73, 95%CI 0.53–1.01; OR=0.48, 0.34–0.68; and OR = 0.11, 0.06–0.22; respectively). Muscle measures (ALMI and HGS) contributed more to this association than did bone (SI) (AUROCs 0.77, 0.85 vs 0.71, respectively). In women, only HGS was associated with frailty in adjusted models (OR = 0.30 95%CI 0.20–0.45, AUROC = 0.83). In adjusted ordinal models, similar results were observed in men; for women, HGS and ALMI were associated with frailty (ordered OR = 0.30 95%CI 0.20–0.45; OR = 0.56, 0.40–0.80, respectively). Conclusion Muscle deficits appeared to contribute more than bone deficits to frailty. This may have implications for identifying potential musculoskeletal targets for preventing or managing the progression of frailty. Supplementary Information The online version contains supplementary material available at 10.1186/s12891-021-04795-4.
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Affiliation(s)
- Monica C Tembo
- Epi-Centre for Healthy Ageing, IMPACT - The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Deakin University, PO Box 281, Geelong, VIC, 3220, Australia.
| | - Mohammadreza Mohebbi
- Faculty of Health, Biostatistics Unit, Deakin University, Geelong, VIC, Australia
| | - Kara L Holloway-Kew
- Epi-Centre for Healthy Ageing, IMPACT - The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Deakin University, PO Box 281, Geelong, VIC, 3220, Australia
| | - James Gaston
- Epi-Centre for Healthy Ageing, IMPACT - The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Deakin University, PO Box 281, Geelong, VIC, 3220, Australia
| | - Sophia X Sui
- Epi-Centre for Healthy Ageing, IMPACT - The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Deakin University, PO Box 281, Geelong, VIC, 3220, Australia
| | - Sharon L Brennan-Olsen
- School of Health and Social Development, Deakin University, Waterfront Geelong Campus, Geelong, VIC, Australia.,Institute for Health Transformation, Deakin University, Waterfront Geelong Campus, Geelong, VIC, Australia.,Department of Medicine-Western Health, The University of Melbourne, St Albans, VIC, Australia.,Australian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne, St Albans, VIC, Australia
| | - Lana J Williams
- Epi-Centre for Healthy Ageing, IMPACT - The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Deakin University, PO Box 281, Geelong, VIC, 3220, Australia
| | - Mark A Kotowicz
- Epi-Centre for Healthy Ageing, IMPACT - The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Deakin University, PO Box 281, Geelong, VIC, 3220, Australia.,Department of Medicine-Western Health, The University of Melbourne, St Albans, VIC, Australia.,Barwon Health, Geelong, VIC, Australia
| | - Julie A Pasco
- Epi-Centre for Healthy Ageing, IMPACT - The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Deakin University, PO Box 281, Geelong, VIC, 3220, Australia.,Department of Medicine-Western Health, The University of Melbourne, St Albans, VIC, Australia.,Barwon Health, Geelong, VIC, Australia.,Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC, Australia
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10
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Abstract
The gold standard for diagnosis of osteoporosis is measurement of an individual's bone mineral density on dual-energy x-ray absorptiometry scan. If this value is less than or equal to 2.5 standard deviations less than that of an adult female reference population, a person is said to have osteoporosis, with this risk increasing as a person ages. Female gender is a large risk factor in developing osteoporosis, regardless of ethnic or racial group. Frailty is another key factor in determining likelihood to develop osteoporotic fractures. Bisphosphonates are the first line agents for treatment of osteoporosis.
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Affiliation(s)
- Ivy Akid
- Department of Medicine, Division of General Internal Medicine, Section of Palliative Medicine, JHUSOM, Johns Hopkins Hospital, 600 North Wolfe Street Blalock 371, Baltimore, MD 21287, USA.
| | - Danielle J Doberman
- Department of Medicine, Division of General Internal Medicine, Section of Palliative Medicine, Palliative Medicine Program, JHUSOM, Johns Hopkins Hospital, 600 North Wolfe Street Blalock 371, Baltimore, MD 21287, USA
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11
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Bartosch P, Malmgren L, Kristensson J, McGuigan FE, Akesson KE. In community-dwelling women frailty is associated with imminent risk of osteoporotic fractures. Osteoporos Int 2021; 32:1735-1744. [PMID: 33661308 PMCID: PMC8387253 DOI: 10.1007/s00198-021-05886-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2020] [Accepted: 02/09/2021] [Indexed: 12/11/2022]
Abstract
UNLABELLED Frailty reflects an accelerated health decline. Frailty is a consequence of fracture and contributes to fracture. Greater frailty was associated with higher fracture risk. Frail women were at immediate risk (within 24 months) of a hip or major fracture. Fracture prevention could be improved by considering frailty status. INTRODUCTION Frailty encompasses the functional decline in multiple systems, particularly the musculoskeletal system. Frailty can be a consequence of and contribute to fracture, leading to a cycle of further fractures and greater frailty. This study investigates this association, specifically time frames for risk, associated fracture types, and how grade of frailty affects risk. METHODS The study is performed in the OPRA cohort of 1044, 75-year-old women. A frailty index was created at baseline and 5 and 10 years. Women were categorized as frail or nonfrail and in quartiles (Q1 least frail; Q4 most frail). Fracture risk was assessed over short (1 and 2 years) and long terms (5 and 10 years). Fracture risk was defined for any fracture, major osteoporotic fractures (MOFs), and hip and vertebral fracture, using models including bone mineral density (BMD) and death as a competing risk. RESULTS For women aged 75, frailty was associated with higher risk of fracture within 2 years (Hip SHRadj. 3.16 (1.34-7.47)) and MOF (2 years SHRadj. 1.88 (1.12-3.16)). The increased risk continued for up to 5 years (Hip SHRadj. 2.02 (1.07-3.82)); (MOF SHRadj. 1.43 (0.99-2.05)). Grade of frailty was associated with increased 10-year probability of fracture (p = 0.03). Frailty predicted fracture independently of BMD. For women aged 80, frailty was similarly associated with fracture. CONCLUSION Frail elderly women are at immediate risk of fracture, regardless of bone density and continue to be at risk over subsequent years compared to identically aged nonfrail women. Incorporating regular frailty assessment into fracture management could improve identification of women at high fracture risk.
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Affiliation(s)
- P Bartosch
- Department of Clinical Sciences Malmö, Clinical and Molecular Osteoporosis Research Unit, Lund University, 214 28, Malmö, Sweden
- Department of Orthopaedics, Skåne University Hospital, 205 02, Malmö, Sweden
| | - L Malmgren
- Department of Clinical Sciences Malmö, Clinical and Molecular Osteoporosis Research Unit, Lund University, 214 28, Malmö, Sweden
- Department of Orthopaedics, Skåne University Hospital, 205 02, Malmö, Sweden
- Department of Geriatrics, Skåne University Hospital, Malmö, Sweden
| | - J Kristensson
- Department of Health Sciences, Proactive an integrated care research unit, Faculty of Medicine, Lund University, 22100, Lund, Sweden
- The Institute for Palliative Care, Lund University and Region Skåne, Lund, Sweden
| | - F E McGuigan
- Department of Clinical Sciences Malmö, Clinical and Molecular Osteoporosis Research Unit, Lund University, 214 28, Malmö, Sweden
- Department of Orthopaedics, Skåne University Hospital, 205 02, Malmö, Sweden
| | - K E Akesson
- Department of Clinical Sciences Malmö, Clinical and Molecular Osteoporosis Research Unit, Lund University, 214 28, Malmö, Sweden.
- Department of Orthopaedics, Skåne University Hospital, 205 02, Malmö, Sweden.
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12
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Howlett SE, Rutenberg AD, Rockwood K. The degree of frailty as a translational measure of health in aging. NATURE AGING 2021; 1:651-665. [PMID: 37117769 DOI: 10.1038/s43587-021-00099-3] [Citation(s) in RCA: 101] [Impact Index Per Article: 33.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Accepted: 07/06/2021] [Indexed: 04/30/2023]
Abstract
Frailty is a multiply determined, age-related state of increased risk for adverse health outcomes. We review how the degree of frailty conditions the development of late-life diseases and modifies their expression. The risks for frailty range from subcellular damage to social determinants. These risks are often synergistic-circumstances that favor damage also make repair less likely. We explore how age-related damage and decline in repair result in cellular and molecular deficits that scale up to tissue, organ and system levels, where they are jointly expressed as frailty. The degree of frailty can help to explain the distinction between carrying damage and expressing its usual clinical manifestations. Studying people-and animals-who live with frailty, including them in clinical trials and measuring the impact of the degree of frailty are ways to better understand the diseases of old age and to establish best practices for the care of older adults.
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Affiliation(s)
- Susan E Howlett
- Geriatric Medicine Research Unit, Department of Medicine, Dalhousie University & Nova Scotia Health, Halifax, Nova Scotia, Canada
- Department of Pharmacology, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Andrew D Rutenberg
- Department of Physics and Atmospheric Science, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Kenneth Rockwood
- Geriatric Medicine Research Unit, Department of Medicine, Dalhousie University & Nova Scotia Health, Halifax, Nova Scotia, Canada.
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13
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Karava V, Dotis J, Christoforidis A, Liakopoulos V, Kondou A, Tsigaras G, Tsioni K, Kollios K, Printza N. Association between insulin growth factor-1, bone mineral density, and frailty phenotype in children with chronic kidney disease. Pediatr Nephrol 2021; 36:1861-1870. [PMID: 33598823 DOI: 10.1007/s00467-021-04918-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Revised: 11/05/2020] [Accepted: 01/04/2021] [Indexed: 12/23/2022]
Abstract
BACKGROUND This cohort study investigates the association between insulin growth factor-1 (IGF-1), bone mineral density, and frailty phenotype in children with chronic kidney disease (CKD). METHODS Forty-six patients (median age 14.5 years) were prospectively enrolled. Frailty phenotype was defined as the presence ≥ 3 of the following indicators: suboptimal growth/weight gain (body mass index height age < 5th percentile or height < 3rd percentile or loss of ≥ 10 percentiles/year in at least one parameter), low muscle mass (lean tissue mass height age < 5th percentile or loss of ≥ 10 percentiles/year), general fatigue reported by parent or child, and C-reactive protein > 3 mg/l. Lumbar bone mineral apparent density (LBMAD) was measured by dual-energy X-ray absorptiometry, body composition by bioimpedance spectroscopy, and IGF-1 by enzyme-labeled chemiluminescent immunometric assay. RESULTS Frailty phenotype (seven patients) was more frequent in advanced CKD (estimated glomerular filtration rate < 30 ml/min/1.73m2) (p = 0.014). IGF-1 and LBMAD z-scores were lower in patients with suboptimal growth/weight gain (14 patients) (p = 0.013, p = 0.012), low muscle mass (nine patients) (p = 0.001, p = 0.009), and general fatigue (eight patients) (p < 0.001, p = 0.004). IFG-1 and LBMAD z-scores were associated with frailty phenotype (OR 0.109, 95% CI 0.015-0.798 and OR 0.277, 95% CI 0.085-0.903) after adjustment for CKD stage. IGF-1 z-score was associated with LBMAD < 5th percentile (six patients) (OR 0.020, 95% CI 0.001-0.450) after adjustment for CKD stage. The association between LBMAD and frailty phenotype lost significance after adjustment for IGF-1. CONCLUSION Frailty phenotype is more frequent in advanced pediatric CKD. IGF-1 is negatively associated with frailty phenotype and interferes in the association between frailty and LBMAD.
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Affiliation(s)
- Vasiliki Karava
- Pediatric Nephrology Unit, 1st Department of Pediatrics, Hippokratio General Hospital, Aristotle University of Thessaloniki, 49 Konstantinoupoleos Street, 54642, Thessaloniki, Greece.
| | - John Dotis
- Pediatric Nephrology Unit, 1st Department of Pediatrics, Hippokratio General Hospital, Aristotle University of Thessaloniki, 49 Konstantinoupoleos Street, 54642, Thessaloniki, Greece
| | - Athanasios Christoforidis
- Pediatric Endocrinology Unit, 1st Department of Pediatrics, Hippokratio General Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Vassilios Liakopoulos
- Division of Nephrology and Hypertension, 1st Department of Internal Medicine, AHEPA Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Antonia Kondou
- Pediatric Nephrology Unit, 1st Department of Pediatrics, Hippokratio General Hospital, Aristotle University of Thessaloniki, 49 Konstantinoupoleos Street, 54642, Thessaloniki, Greece
| | - Georgios Tsigaras
- Center for Developmental Pediatrics "Apostolos Fokas", Hippokratio General Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Konstantina Tsioni
- Biopathology Laboratory, Hippokratio General Hospital, Thessaloniki, Greece
| | - Konstantinos Kollios
- 3rd Department of Pediatrics, Hippokratio General Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Nikoleta Printza
- Pediatric Nephrology Unit, 1st Department of Pediatrics, Hippokratio General Hospital, Aristotle University of Thessaloniki, 49 Konstantinoupoleos Street, 54642, Thessaloniki, Greece
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14
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O'Connell ML, Coppinger T, Lacey S, Walton J, Arsenic T, McCarthy AL. Associations between Food Group Intake and Physical Frailty in Irish Community-Dwelling Older Adults. Nutr Metab Insights 2021; 14:11786388211006447. [PMID: 33854330 PMCID: PMC8013632 DOI: 10.1177/11786388211006447] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Accepted: 03/09/2021] [Indexed: 11/16/2022] Open
Abstract
Background Certain nutrients have shown protective effects against frailty, but less is known about the influence of individual food groups. Thus, this study aimed to investigate the relationship between the intake of different food groups and physical frailty in a cohort of community-dwelling older adults in Cork, Ireland. Methods One hundred and forty-two (n = 81 females, n = 61 males, age 74.1 ± 6.80 years) Irish community-dwelling volunteers aged ⩾65 years participated in this cross-sectional study. Dietary intake was assessed using a validated food frequency questionnaire (FFQ). Frailty was identified as having 3 or more of the following criteria: weight loss, exhaustion, weakness, slow walking speed and low physical activity. Relationships between intakes of food groups and frailty score were determined using Spearman's rank (and partial rank) correlations and ordinal logistic regression analysis. Results Negative Spearman's rank correlations were observed between frailty score and fish and fish products, fruit and vegetables and nuts and seeds, while positive correlations were found between frailty score and potatoes, fats and oils and sugars, preserves and snacks (P < .05). After adjustment for confounders, partial rank correlations remained statistically significant (P < .05) for all of the above dietary variables, with the exception of nuts and seeds (P > .05). Following ordinal logistic regression, the odds ratios (ORs) (95%CI) for frailty incidence for those in the lowest tertile of food group intake compared to the highest were; 3.04 (1.09-8.85) for fish and fish products, 4.34 (1.54-13.13) for fruit and vegetables, 1.52 (0.58-4.15) for nuts and seeds, 0.54 (0.19-1.51) for potatoes, 0.58 (0.17-1.95) for fats and oils and 0.49 (0.16-1.47) for sugars, preserves and snacks. Conclusion This study suggests that intakes of selected food groups are independently associated with frailty. These findings may hold significant relevance for the development of future frailty prevention strategies.
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Affiliation(s)
| | - Tara Coppinger
- Department of Sport, Leisure and Childhood Studies, Cork Institute of Technology, Cork, Ireland
| | - Seán Lacey
- Department of Mathematics, Cork Institute of Technology, Cork, Ireland
| | - Janette Walton
- Department of Biological Sciences, Cork Institute of Technology, Cork, Ireland
| | - Tijana Arsenic
- Department of Biological Sciences, Cork Institute of Technology, Cork, Ireland
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15
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Abstract
PURPOSE OF REVIEW This review outlines the scope of the problem in osteoporosis care and secondary fracture prevention and describes fracture prevention strategies, with a focus on the frail elderly. RECENT FINDINGS Despite heightened awareness among patients and clinicians alike and the availability of efficacious anti-osteoporosis medications, osteoporosis is still underdiagnosed and undertreated. However, the introduction of systematic risk assessment and secondary fracture prevention programmes has gained momentum, and evidence of success is accumulating. We possess today the knowledge required to close the osteoporosis care gap. The basic components in a secondary prevention model are similar in all health care settings, number one being a dedicated fracture coordinator, with anti-osteoporosis medications and multifaceted falls prevention as cornerstones, particularly in the frailest, both in the near and long-term. Initiation of structured care pathways including the key elements - identification, investigation, intervention and follow-up of adherence - demonstrably reduces re-fracture rates and is cost-effective.
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Affiliation(s)
- Kristina E. Åkesson
- Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
- Department of Orthopaedics, Skåne University Hospital, 205 02, Malmö, Sweden
| | - Fiona E. A. McGuigan
- Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
- Department of Orthopaedics, Skåne University Hospital, 205 02, Malmö, Sweden
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16
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E E, Wang T, Yang L, Dempsey M, Brennan A, Yu M, Chan WP, Whelan B, Silke C, O'Sullivan M, Rooney B, McPartland A, O'Malley G, Carey JJ. The Irish dual-energy X-ray absorptiometry (DXA) Health Informatics Prediction (HIP) for Osteoporosis Project. BMJ Open 2020; 10:e040488. [PMID: 33371026 PMCID: PMC7751214 DOI: 10.1136/bmjopen-2020-040488] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
PURPOSE The purpose of the Irish dual-energy X-ray absorptiometry (DXA) Health Informatics Prediction (HIP) for Osteoporosis Project is to create a large retrospective cohort of adults in Ireland to examine the validity of DXA diagnostic classification, risk assessment tools and management strategies for osteoporosis and osteoporotic fractures for our population. PARTICIPANTS The cohort includes 36 590 men and women aged 4-104 years who had a DXA scan between January 2000 and November 2018 at one of 3 centres in the West of Ireland. FINDINGS TO DATE 36 590 patients had at least 1 DXA scan, 6868 (18.77%) had 2 scans and 3823 (10.45%) had 3 or more scans. There are 364 unique medical disorders, 186 unique medications and 46 DXA variables identified and available for analysis. The cohort includes 10 349 (28.3%) individuals who underwent a screening DXA scan without a clear fracture risk factor (other than age), and 9947 (27.2%) with prevalent fractures at 1 of 44 skeletal sites. FUTURE PLANS The Irish DXA HIP Project plans to assess current diagnostic classification and risk prediction algorithms for osteoporosis and fractures, identify the risk predictors for osteoporosis and develop novel, accurate and personalised risk prediction tools, by using the large multicentre longitudinal follow-up cohort. Furthermore, the dataset may be used to assess, and possibly support, multimorbidity management due to the large number of variables collected in this project.
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Affiliation(s)
- Erjiang E
- Department of Industrial Engineering, Tsinghua University, Beijing, China
| | - Tingyan Wang
- Department of Industrial Engineering, Tsinghua University, Beijing, China
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Lan Yang
- Department of Industrial Engineering, Tsinghua University, Beijing, China
- School of Engineering, National University of Ireland Galway, Galway, Ireland
| | - Mary Dempsey
- School of Engineering, National University of Ireland Galway, Galway, Ireland
| | - Attracta Brennan
- School of Computer Science, National University of Ireland Galway, Galway, Ireland
| | - Ming Yu
- Department of Industrial Engineering, Tsinghua University, Beijing, China
| | - Wing P Chan
- Department of Radiology, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan
| | - Bryan Whelan
- School of Medicine, National University of Ireland Galway, Galway, Ireland
- Department of Rheumatology, Our Lady's University Hospital, Manorhamilton, Ireland
| | - Carmel Silke
- School of Medicine, National University of Ireland Galway, Galway, Ireland
- Department of Rheumatology, Our Lady's University Hospital, Manorhamilton, Ireland
| | - Miriam O'Sullivan
- School of Medicine, National University of Ireland Galway, Galway, Ireland
- Department of Rheumatology, Our Lady's University Hospital, Manorhamilton, Ireland
| | - Bridie Rooney
- Department of Geriatric Medicine, Sligo University Hospital, Sligo, Ireland
| | - Aoife McPartland
- Department of Rheumatology, Our Lady's University Hospital, Manorhamilton, Ireland
| | - Gráinne O'Malley
- School of Medicine, National University of Ireland Galway, Galway, Ireland
- Department of Geriatric Medicine, Sligo University Hospital, Sligo, Ireland
| | - John J Carey
- School of Medicine, National University of Ireland Galway, Galway, Ireland
- Department of Rheumatology, Galway University Hospitals, Galway, Ireland
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17
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Predictive Effect of Frailty on Amputation, Mortality, and Ambulation in Patients Undergoing Revascularization for Acute Limb Ischemia. Ann Vasc Surg 2020; 73:273-279. [PMID: 33340668 DOI: 10.1016/j.avsg.2020.10.048] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Revised: 10/23/2020] [Accepted: 10/29/2020] [Indexed: 11/22/2022]
Abstract
BACKGROUND Frailty is a common, age-associated syndrome that has been used to predict postoperative outcomes in vascular surgery. This study examines if standard measures of frailty correlate with postoperative outcomes for patients undergoing revascularization for acute limb ischemia (ALI). METHODS A retrospective study was conducted on all adult patients undergoing revascularization for ALI at an academic medical center between January 2016 and June 2019. Frailty was calculated with the 11-factor modified frailty index (mFI-11), derived from the Canadian Study of Health and Aging Frailty Index. Outcomes examined included in-hospital mortality, major amputation, site of discharge, and ambulatory status at follow-up. RESULTS Fifty-three ambulatory patients presented with ALI during the study time period, with 13.2% deemed not frail (mFI-11 < 3) and 86.8% deemed frail (mFI-11 ≥ 3). Frailty was significantly correlated with discharge to a skilled nursing facility (P = 0.028) and nonambulation at follow-up (P = 0.002). There was no significant correlation with other outcomes, including mortality and amputation. On multivariate analysis, frailty was the only factor contributing to nonambulation at follow-up (P = 0.012). Endovascular treatment did not mitigate the effects of frailty on discharge site and ambulatory status. CONCLUSIONS Frailty is exceedingly common in patients with ALI. Although frailty predicts discharge site and nonambulation at follow-up, it is not associated with amputation or death. Therefore, frail patients should not be denied open or endovascular revascularization for ALI.
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18
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Bartosch PS, Kristensson J, McGuigan FE, Akesson KE. Frailty and prediction of recurrent falls over 10 years in a community cohort of 75-year-old women. Aging Clin Exp Res 2020; 32:2241-2250. [PMID: 31939201 PMCID: PMC7591409 DOI: 10.1007/s40520-019-01467-1] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Accepted: 12/24/2019] [Indexed: 12/20/2022]
Abstract
Background Frailty captures the age-related declines in health leading to increased vulnerability, including falls which are commonplace in older women. The relationship between frailty and falls is complex, with one leading to the other in a vicious cycle. Aims This study addresses the gap in understanding how patterns of frailty and falls propensity interact, particularly in those who have not yet entered the falls-frailty cycle. Methods The Osteoporosis Risk Assessment cohort consists of 1044 community-dwelling women aged 75, with 10 years of follow-up. Investigations were performed and a frailty index constructed at baseline, 5 and 10 years. Falls were self-reported for each previous 12 months. Analysis was two-directional, firstly based on frailty status and second, based on falls status. Recurrent falls was the primary outcome. Results Baseline frailty was a significant predictor of recurrent falls after 5 and 10 years [(OR 2.55 (1.62–3.99); 3.04 (1.63–5.67)]. Among women who had no history of falls at age 75, frailty was a stronger predictor of falls at 5 years [OR 3.06 (1.59–5.89)] than among women who had previously fallen. Discussion Frailty is significantly associated with recurrent falls and most pronounced in those who are frail but have not yet fallen. Conclusions This suggests that frailty should be an integral part of falls-risk assessment to improve identification of those at risk of becoming fallers. Electronic supplementary material The online version of this article (10.1007/s40520-019-01467-1) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Patrik S Bartosch
- Clinical and Molecular Osteoporosis Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
- Department of Orthopaedics, Skåne University Hospital, IM Nilssonsgata 22, 205 02, Malmö, Sweden
| | | | - Fiona E McGuigan
- Clinical and Molecular Osteoporosis Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
- Department of Orthopaedics, Skåne University Hospital, IM Nilssonsgata 22, 205 02, Malmö, Sweden
| | - Kristina E Akesson
- Clinical and Molecular Osteoporosis Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.
- Department of Orthopaedics, Skåne University Hospital, IM Nilssonsgata 22, 205 02, Malmö, Sweden.
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19
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Buchebner D, Bartosch P, Malmgren L, McGuigan FE, Gerdhem P, Akesson KE. Association Between Vitamin D, Frailty, and Progression of Frailty in Community-Dwelling Older Women. J Clin Endocrinol Metab 2019; 104:6139-6147. [PMID: 31287540 DOI: 10.1210/jc.2019-00573] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2019] [Accepted: 07/02/2019] [Indexed: 12/19/2022]
Abstract
CONTEXT Vitamin D (25OHD) is involved in many physiological functions that decline with age, contributing to frailty and increased risk for negative health outcomes. Whether 25OHD is a long-term risk marker for frailty over a longer time and whether it is consistent with advancing age is unclear. OBJECTIVE To investigate the association between 25OHD and frailty in older women followed for 10 years. DESIGN AND SETTING Prospective, population-based, cohort study in Malmö, Sweden. PARTICIPANTS Community-dwelling women, age 75 years (N = 1044) with reassessments at ages 80 (n = 715) and 85 (n = 382) years. METHODS Frailty was quantified using a 10-variable frailty index. Women were categorized as 25OHD insufficient (<50 nmol/L) or sufficient (≥50 nmol/L). RESULTS At ages 75 and 80 years, women with insufficient 25OHD were frailer than women with sufficient 25OHD (0.23 vs 0.18, P < 0.001; and 0.32 vs 0.25, P = 0.001, respectively). At age 80 years, 25OHD insufficiency was associated with subsequent frailty 5 years later (0.41 vs 0.32; P = 0.011). Accelerated progression of frailty was not associated with lower 25OHD levels, and 25OHD level >75 nmol/L was not additionally beneficial with regard to frailty. No association between 25OHD and frailty was observed at age 85 years. Within the frailty index, variables associated with 25OHD were related to muscle strength and function. CONCLUSION In this study, 25OHD insufficiency was associated with increased frailty in all but the oldest old. This study supports the value of maintaining sufficient 25OHD levels for healthy aging.
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Affiliation(s)
- David Buchebner
- Department of Clinical Sciences Malmö, Clinical and Molecular Osteoporosis Research Unit, Lund University, Malmö, Sweden
- Department of Orthopedics, Skåne University Hospital, Malmö, Sweden
- Department of Internal Medicine, Hallands Hospital Halmstad, Halmstad, Sweden
| | - Patrik Bartosch
- Department of Clinical Sciences Malmö, Clinical and Molecular Osteoporosis Research Unit, Lund University, Malmö, Sweden
- Department of Orthopedics, Skåne University Hospital, Malmö, Sweden
| | - Linnea Malmgren
- Department of Clinical Sciences Malmö, Clinical and Molecular Osteoporosis Research Unit, Lund University, Malmö, Sweden
- Department of Geriatrics, Skåne University Hospital, Malmö, Sweden
| | - Fiona E McGuigan
- Department of Clinical Sciences Malmö, Clinical and Molecular Osteoporosis Research Unit, Lund University, Malmö, Sweden
- Department of Orthopedics, Skåne University Hospital, Malmö, Sweden
| | - Paul Gerdhem
- Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden
- Department of Reconstructive Orthopedics, Karolinska University Hospital, Stockholm, Sweden
| | - Kristina E Akesson
- Department of Clinical Sciences Malmö, Clinical and Molecular Osteoporosis Research Unit, Lund University, Malmö, Sweden
- Department of Orthopedics, Skåne University Hospital, Malmö, Sweden
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