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Foti K, Zhang Y, Hennessy SE, Colantonio LD, Ghazi L, Hardy ST, Arabadjian M, Byfield R, Fontil V, Lewis CE, Shimbo D, Muntner P, Bellows BK. Hypertension Prevention and Healthy Life Expectancy in Black Adults: The Jackson Heart Study. Hypertension 2025. [PMID: 40008433 DOI: 10.1161/hypertensionaha.124.23702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2024] [Accepted: 02/11/2025] [Indexed: 02/27/2025]
Abstract
BACKGROUND The impact of preventing hypertension and maintaining normal blood pressure (BP) on life expectancy and healthy life expectancy (HLE) among Black adults, who are disproportionately affected by hypertension, has not been quantified. METHODS We used a discrete event simulation to estimate life expectancy and HLE among a cohort of Black adults from the Jackson Heart Study (n=4933) from age 20 to 100 years or until death. We modeled preventing hypertension as having BP <130/80 mm Hg and maintaining normal BP as having BP <120/80 mm Hg across the lifespan. In the primary analysis, we assumed that lowering BP decreased the risk of cardiovascular disease events, resulting in life expectancy and HLE gains. In a secondary analysis, we assumed that preventing hypertension and maintaining normal BP directly reduced both cardiovascular disease and mortality risk. RESULTS At age 20 years, the projected average life expectancy was age 80.8 (95% uncertainty interval [UI], 80.6-81.1) years, and HLE was 70.5 (95% UI, 70.3-70.7) healthy life years. In the primary analysis, preventing hypertension and maintaining normal BP added 0.9 (95% UI, 0.8-1.1) and 1.1 (95% UI, 0.9-1.3) years to life expectancy, respectively, and 2.7 (95% UI, 2.6-2.9) and 2.9 (95% UI, 2.7-3.1) healthy life years to HLE, respectively. In the secondary analysis, preventing hypertension and maintaining normal BP added 4.5 (95% UI, 4.3-4.6) and 4.6 (95% UI, 4.4-4.8) years to life expectancy, respectively, and 5.7 (95% UI, 5.6-5.8) and 5.9 (95% UI, 5.7-6.0) healthy life years to HLE, respectively. CONCLUSIONS Preventing hypertension and maintaining normal BP were projected to increase life expectancy and HLE among Black adults.
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Affiliation(s)
- Kathryn Foti
- Department of Epidemiology, University of Alabama at Birmingham School of Public Health, AL (K.F., L.D.C., L.G., C.E.L., P.M.)
| | - Yiyi Zhang
- Department of Medicine, Columbia University Irving Medical Center, New York, NY (Y.Z., D.S., B.K.B.)
| | - Susan E Hennessy
- Department of Epidemiology and Biostatistics, University of California San Francisco, CA (S.E.H.)
| | - Lisandro D Colantonio
- Department of Epidemiology, University of Alabama at Birmingham School of Public Health, AL (K.F., L.D.C., L.G., C.E.L., P.M.)
| | - Lama Ghazi
- Department of Epidemiology, University of Alabama at Birmingham School of Public Health, AL (K.F., L.D.C., L.G., C.E.L., P.M.)
| | - Shakia T Hardy
- Department of Epidemiology, University of North Carolina, Gillings School of Global Public Health, Chapel Hill (S.T.H.)
| | - Milla Arabadjian
- Department of Foundations of Medicine, NYU Grossman Long Island School of Medicine, Mineola, NY (M.A.)
| | - Rushelle Byfield
- Department of Pediatrics, Columbia University Vagelos College of Physicians and Surgeons and New York-Presbyterian (R.B.)
| | - Valy Fontil
- Institute for Excellence in Health Equity, NYU Grossman School of Medicine, New York, NY (V.F.)
| | - Cora E Lewis
- Department of Epidemiology, University of Alabama at Birmingham School of Public Health, AL (K.F., L.D.C., L.G., C.E.L., P.M.)
| | - Daichi Shimbo
- Department of Medicine, Columbia University Irving Medical Center, New York, NY (Y.Z., D.S., B.K.B.)
| | - Paul Muntner
- Department of Epidemiology, University of Alabama at Birmingham School of Public Health, AL (K.F., L.D.C., L.G., C.E.L., P.M.)
| | - Brandon K Bellows
- Department of Medicine, Columbia University Irving Medical Center, New York, NY (Y.Z., D.S., B.K.B.)
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Huang K, Tang X, Chu X, Niu H, Li W, Zheng Z, Peng Y, Lei J, Li Y, Li B, Yang T, Wang C. Comparison of STAR and GOLD in Assessing Disease Severity Among High-Risk and COPD Patients: Evidence from Enjoying Breathing Program in China. Int J Chron Obstruct Pulmon Dis 2024; 19:2751-2762. [PMID: 39741665 PMCID: PMC11687320 DOI: 10.2147/copd.s492178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2024] [Accepted: 12/22/2024] [Indexed: 01/03/2025] Open
Abstract
Background The STAR staging standard has been demonstrated to have good performance in distinguishing mortality among patients at different stages. However, the effectiveness of STAR and GOLD staging in distinguishing disease severity in high-risk and COPD patients remained unclear. Methods Based on Enjoying Breathing Program data through June 2023, a total of 7.924 high-risk and COPD patients were included. STAR and GOLD severity stages were based on FEV1/FVC (0.6-0.7, 0.5-0.6, 0.4-0.5, and <0.4 for stage 1 to 4 in STAR) and the proportion of predicted FEV1 value (≥80%, 50%-80%, 30%-50%, and <30% for stage 1 to 4 in GOLD), respectively. The cox regression model was used to assess the risk of medical visit due to severe respiratory symptoms according to STAR and GOLD. Results The current study included 1603 high-risk individuals and 6321 COPD patients. The proportions of STAR 1-4 in COPD patients were 37.1%, 33.2%, 20.5%, and 9.2%, respectively. In COPD patients only, GOLD stage distinguished disease severity well, but there was no difference in the risk of exacerbation between the different STAR stage groups. In addition, in COPD patients, by considering of GOLD and STAR together, GOLD 3 and 4 can provide more information about the exacerbation based on each STAR level, and STAR 1 and 2 can provide more information about the exacerbation in GOLD 2-4. COPD patients with GOLD 4 and STAR 2 (HR=4.08, 95% CI: 2.75-6.04) had the highest risk of exacerbation, followed by COPD patients with GOLD 4 and STAR 1 (HR=3.94, 95% CI: 2.49-6.23). Conclusion In COPD patients, GOLD performs better than STAR in predicting exacerbation risk. In addition, the combination of GOLD and STAR can provide more information, especially for COPD patients with GOLD 4 and STAR 1-2, which should be paid more attention in treatment and disease management.
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Affiliation(s)
- Ke Huang
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China; National Center for Respiratory Medicine, Beijing, China; State Key Laboratory of Respiratory Health and Multimorbidity, Beijing, People’s Republic of China
| | - Xingyao Tang
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China; National Center for Respiratory Medicine, Beijing, China; State Key Laboratory of Respiratory Health and Multimorbidity, Beijing, People’s Republic of China
- Capital Medical University China-Japan Friendship School of Clinical Medicine, Beijing, People’s Republic of China
| | - Xu Chu
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China; National Center for Respiratory Medicine, Beijing, China; State Key Laboratory of Respiratory Health and Multimorbidity, Beijing, People’s Republic of China
| | - Hongtao Niu
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China; National Center for Respiratory Medicine, Beijing, China; State Key Laboratory of Respiratory Health and Multimorbidity, Beijing, People’s Republic of China
| | - Wei Li
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China; National Center for Respiratory Medicine, Beijing, China; State Key Laboratory of Respiratory Health and Multimorbidity, Beijing, People’s Republic of China
| | - Zhoude Zheng
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China; National Center for Respiratory Medicine, Beijing, China; State Key Laboratory of Respiratory Health and Multimorbidity, Beijing, People’s Republic of China
- Peking University China-Japan Friendship School of Clinical Medicine, Beijing, People’s Republic of China
| | - Yaodie Peng
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China; National Center for Respiratory Medicine, Beijing, China; State Key Laboratory of Respiratory Health and Multimorbidity, Beijing, People’s Republic of China
- Peking University China-Japan Friendship School of Clinical Medicine, Beijing, People’s Republic of China
| | - Jieping Lei
- Data and Project Management Unit, Institute of Clinical Medical Sciences, China-Japan Friendship Hospital, Beijing, People’s Republic of China
| | - Yong Li
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China; National Center for Respiratory Medicine, Beijing, China; State Key Laboratory of Respiratory Health and Multimorbidity, Beijing, People’s Republic of China
| | - Baicun Li
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China; National Center for Respiratory Medicine, Beijing, China; State Key Laboratory of Respiratory Health and Multimorbidity, Beijing, People’s Republic of China
| | - Ting Yang
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China; National Center for Respiratory Medicine, Beijing, China; State Key Laboratory of Respiratory Health and Multimorbidity, Beijing, People’s Republic of China
| | - Chen Wang
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China; National Center for Respiratory Medicine, Beijing, China; State Key Laboratory of Respiratory Health and Multimorbidity, Beijing, People’s Republic of China
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
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Kullo IJ, Conomos MP, Nelson SC, Adebamowo SN, Choudhury A, Conti D, Fullerton SM, Gogarten SM, Heavner B, Hornsby WE, Kenny EE, Khan A, Khera AV, Li Y, Martin I, Mercader JM, Ng M, Raffield LM, Reiner A, Rowley R, Schaid D, Stilp A, Wiley K, Wilson R, Witte JS, Natarajan P. The PRIMED Consortium: Reducing disparities in polygenic risk assessment. Am J Hum Genet 2024; 111:2594-2606. [PMID: 39561770 PMCID: PMC11639095 DOI: 10.1016/j.ajhg.2024.10.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2024] [Revised: 10/16/2024] [Accepted: 10/16/2024] [Indexed: 11/21/2024] Open
Abstract
By improving disease risk prediction, polygenic risk scores (PRSs) could have a significant impact on health promotion and disease prevention. Due to the historical oversampling of populations with European ancestry for genome-wide association studies, PRSs perform less well in other, understudied populations, leading to concerns that clinical use in their current forms could widen health care disparities. The PRIMED Consortium was established to develop methods to improve the performance of PRSs in global populations and individuals of diverse genetic ancestry. To this end, PRIMED is aggregating and harmonizing multiple phenotype and genotype datasets on AnVIL, an interoperable secure cloud-based platform, to perform individual- and summary-level analyses using population and statistical genetics approaches. Study sites, the coordinating center, and representatives from the NIH work alongside other NHGRI and global consortia to achieve these goals. PRIMED is also evaluating ethical and social implications of PRS implementation and investigating the joint modeling of social determinants of health and PRS in computing disease risk. The phenotypes of interest are primarily cardiometabolic diseases and cancer, the leading causes of death and disability worldwide. Early deliverables of the consortium include methods for data sharing on AnVIL, development of a common data model to harmonize phenotype and genotype data from cohort studies as well as electronic health records, adaptation of recent guidelines for population descriptors to global cohorts, and sharing of PRS methods/tools. As a multisite collaboration, PRIMED aims to foster equity in the development and use of polygenic risk assessment.
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Affiliation(s)
- Iftikhar J Kullo
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
| | - Matthew P Conomos
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Sarah C Nelson
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Sally N Adebamowo
- Department of Epidemiology and Public Health, University of Maryland, Baltimore, MD, USA
| | - Ananyo Choudhury
- Sydney Brenner Institute of Molecular Bioscience, University of Witwatersrand, Johannesburg, South Africa
| | - David Conti
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Stephanie M Fullerton
- Department of Bioethics and Humanities, University of Washington School of Medicine, Seattle, WA, USA
| | | | - Ben Heavner
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Whitney E Hornsby
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Eimear E Kenny
- Institute of Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Alyna Khan
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Amit V Khera
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Yun Li
- Department of Genetics, University of North Carolina Chapel Hill, Chapel Hill, NC, USA
| | - Iman Martin
- National Human Genome Research Institute, National Institutes of Health, Baltimore, MD, USA
| | - Josep M Mercader
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Maggie Ng
- Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Laura M Raffield
- Department of Genetics, University of North Carolina Chapel Hill, Chapel Hill, NC, USA
| | - Alex Reiner
- Department of Epidemiology, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Robb Rowley
- National Human Genome Research Institute, National Institutes of Health, Baltimore, MD, USA
| | - Daniel Schaid
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Adrienne Stilp
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Ken Wiley
- National Human Genome Research Institute, National Institutes of Health, Baltimore, MD, USA
| | - Riley Wilson
- National Human Genome Research Institute, National Institutes of Health, Baltimore, MD, USA
| | - John S Witte
- Department of Epidemiology and Population Health, Stanford University, Stanford, CA, USA
| | - Pradeep Natarajan
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
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Patchen BK, Zhang J, Gaddis N, Bartz TM, Chen J, Debban C, Leonard H, Nguyen NQ, Seo J, Tern C, Allen R, DeMeo DL, Fornage M, Melbourne C, Minto M, Moll M, O'Connor G, Pottinger T, Psaty BM, Rich SS, Rotter JI, Silverman EK, Stratford J, Graham Barr R, Cho MH, Gharib SA, Manichaikul A, North K, Oelsner EC, Simonsick EM, Tobin MD, Yu B, Choi SH, Dupuis J, Cassano PA, Hancock DB. Multi-ancestry genome-wide association study reveals novel genetic signals for lung function decline. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.11.25.24317794. [PMID: 39649580 PMCID: PMC11623738 DOI: 10.1101/2024.11.25.24317794] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 12/11/2024]
Abstract
Rationale Accelerated decline in lung function contributes to the development of chronic respiratory disease. Despite evidence for a genetic component, few genetic associations with lung function decline have been identified. Objectives To evaluate genome-wide associations and putative downstream functionality of genetic variants with lung function decline in diverse general population cohorts. Methods We conducted genome-wide association study (GWAS) analyses of decline in the forced expiratory volume in the first second (FEV1), forced vital capacity (FVC), and their ratio (FEV1/FVC) in participants across six cohorts in the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium and the UK Biobank. Genotypes were imputed to TOPMed (CHARGE cohorts) or Haplotype Reference Consortium (HRC) (UK Biobank) reference panels, and GWAS analyses used generalized estimating equation models with robust standard error. Models were stratified by cohort, ancestry, and sex, and adjusted for important lung function confounders and genotype principal components. Results were combined in cross-ancestry and ancestry-specific meta-analyses. Selected top variants were tested for replication in two independent COPD-enriched cohorts. Measurements and Main Results Our discovery analyses included 52,056 self-reported White (N=44,988), Black (N=5,788), Hispanic (N=550), and Chinese American (N=730) participants with a mean of 2.3 spirometry measurements and 8.6 years of follow-up. Functional mapping of GWAS meta-analysis results identified 361 distinct genome-wide significant (p<5E-08) variants in one or more of the FEV1, FVC, and FEV1/FVC decline phenotypes, which overlapped with previously reported genetic signals for several related pulmonary traits. Of these, 8 variants, or 20.5% of the variant set available for replication testing, were nominally associated (p<0.05) with at least one decline phenotype in COPD-enriched cohorts (White [N=4,778] and Black [N=1,118]). Using the GWAS results, gene-level analysis implicated 38 genes, including eight (XIRP2, GRIN2D, SATB1, MARCHF4, SIPA1L2, ANO5, H2BC10, and FAF2) with consistent associations across ancestries or decline phenotypes. Annotation class analysis revealed significant enrichment of several regulatory processes for corticosteroid biosynthesis and metabolism. Drug repurposing analysis identified 43 approved compounds targeting eight of the implicated 38 genes. Conclusions Our multi-ancestry GWAS meta-analyses identified numerous genetic loci associated with lung function decline. These findings contribute knowledge to the genetic architecture of lung function decline, provide evidence for a role of endogenous corticosteroids in the etiology of lung function decline, and identify drug targets that merit further study for potential repurposing to slow lung function decline and treat lung disease.
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Affiliation(s)
- Bonnie K Patchen
- Division of Nutritional Sciences, Cornell University
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Jingwen Zhang
- Boston University School of Public Health, Boston, MA
| | | | - Traci M Bartz
- Cardiovascular Health Research Unit, Departments of Biostatistics, Medicine, Epidemiology, Health Systems and Population Health, University of Washington, Seattle, WA
| | - Jing Chen
- Department of Population Health Sciences, University of Leicester, Leicester, UK
| | - Catherine Debban
- Department of Genome Sciences, University of Virginia School of Medicine, Charlottesville, VA
| | - Hampton Leonard
- Laboratory of Neurogenetics, National Institute of Aging, National Institute of Health, Bethesda, MD
| | - Ngoc Quynh Nguyen
- School of Public Health, University of Texas Health Science Center, Houston, TX
| | - Jungkun Seo
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC
- Department of MetaBioHealth, Sungkyunkwan University (SKKU), Suwon, Republic of Korea
| | - Courtney Tern
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA
| | - Richard Allen
- College of Life Sciences, University of Leicester, Leicester, UK
| | - Dawn L DeMeo
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center, Houston, TX
| | - Carl Melbourne
- Department of Population Health Sciences, University of Leicester, Leicester, UK
- UK Biobank, Ltd., Stockport, UK
| | | | - Matthew Moll
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | | | - Tess Pottinger
- Institute for Genomic Medicine, Columbia University Irving Medical Center, New York, NY
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Departments of Biostatistics, Medicine, Epidemiology, Health Systems and Population Health, University of Washington, Seattle, WA
| | - Stephen S Rich
- Department of Genome Sciences, University of Virginia School of Medicine, Charlottesville, VA
| | - 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
| | - Edwin K Silverman
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | | | - R Graham Barr
- Department of Medicine, Columbia University College of Physicians and Surgeons, New York, NY
| | - Michael H Cho
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Sina A Gharib
- Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, WA
| | - Ani Manichaikul
- Department of Genome Sciences, University of Virginia School of Medicine, Charlottesville, VA
| | - Kari North
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC
| | - Elizabeth C Oelsner
- Department of Medicine, Columbia University College of Physicians and Surgeons, New York, NY
| | | | - Martin D Tobin
- Department of Population Health Sciences, University of Leicester, Leicester, UK
| | - Bing Yu
- School of Public Health, University of Texas Health Science Center, Houston, TX
| | | | - Josee Dupuis
- Boston University School of Public Health, Boston, MA
- Department of Epidemiology, Biostatistics and Occupational Health, School of Population and Global Health, McGill University, Montréal, Québec
| | - Patricia A Cassano
- Division of Nutritional Sciences, Cornell University
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY
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Prinelli F, Trevisan C, Conti S, Maggi S, Sergi G, Brennan L, de Groot LCPGM, Volkert D, McEvoy CT, Noale M. Harmonizing Dietary Exposure of Adult and Older Individuals: A Methodological Work of the Collaborative PROMED-COG Pooled Cohorts Study. Nutrients 2024; 16:3917. [PMID: 39599704 PMCID: PMC11597225 DOI: 10.3390/nu16223917] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2024] [Revised: 11/07/2024] [Accepted: 11/09/2024] [Indexed: 11/29/2024] Open
Abstract
Objectives: The PROtein-enriched MEDiterranean diet to combat undernutrition and promote healthy neuroCOGnitive ageing in older adults (PROMED-COG) is a European project that investigates the role of nutritional status on neurocognitive ageing. This methodological paper describes the harmonization process of dietary data from four Italian observational studies (Pro.V.A., ILSA, BEST-FU, and NutBrain). Methods: Portion sizes and food frequency consumption within different food frequency questionnaires were retrospectively harmonized across the datasets on daily food frequency, initially analyzing raw data using the original codebook and establishing a uniform food categorization system. Individual foods were then aggregated into 27 common food groups. Results: The pooled cohort consisted of 9326 individuals (40-101 years, 52.4% female). BEST-FU recruited younger participants who were more often smokers and less physically active than those of the other studies. Dietary instruments varied across the studies differing in the number of items and time intervals assessed, but all collected dietary intake through face-to-face interviews with a common subset of items. The average daily intakes of the 27 food groups across studies varied, with BEST-FU participants generally consuming more fruits, vegetables, red meat, and fish than the other studies. Conclusions: Harmonization of dietary data presents challenges but allows for the integration of information from diverse studies, leading to a more robust and statistically powerful dataset. The study highlights the feasibility and benefits of data harmonization, despite inherent limitations, and sets the stage for future research into the effects of diet on cognitive health and aging.
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Affiliation(s)
- Federica Prinelli
- Institute of Biomedical Technologies, National Research Council (CNR), Via Fratelli Cervi 93, 20054 Segrate, Milano, Italy; (F.P.); (S.C.)
- C. Mondino National Institute of Neurology Foundation, IRCCS, Via Mondino, 2, 27100 Pavia, Italy
| | - Caterina Trevisan
- Department of Medical Sciences, University of Ferrara, Via Aldo Moro 8, 44124 Ferrara, Italy
- Geriatric Unit, Department of Medicine, University of Padova (UNIPD), Via Giustiniani 2, 35128 Padova, Italy;
| | - Silvia Conti
- Institute of Biomedical Technologies, National Research Council (CNR), Via Fratelli Cervi 93, 20054 Segrate, Milano, Italy; (F.P.); (S.C.)
- C. Mondino National Institute of Neurology Foundation, IRCCS, Via Mondino, 2, 27100 Pavia, Italy
| | - Stefania Maggi
- Neuroscience Institute, Aging Branch, National Research Council (CNR), Viale Giuseppe Colombo 3, 35121 Padova, Italy; (S.M.); (M.N.)
| | - Giuseppe Sergi
- Geriatric Unit, Department of Medicine, University of Padova (UNIPD), Via Giustiniani 2, 35128 Padova, Italy;
| | - Lorraine Brennan
- School of Agriculture and Food Science, University College Dublin, Belfield, D04 C1P1 Dublin, Ireland;
| | | | - Dorothee Volkert
- Institute for Biomedicine of Aging, Friedrich-Alexander Universität of Erlangen-Nümberg, Kobergerstrasse 60, 90408 Nuremberg, Germany;
| | - Claire T. McEvoy
- Centre for Public Health, Institute of Clinical Sciences, Queen’s University Belfast, First Floor Block A, Grosvenor Road, Belfast BT12 6BJ, UK;
- The Global Brain Institute, Trinity College Dublin, Ireland & University of California, 1651 4th St, 3rd Floor, San Francisco, CA 94158, USA
| | - Marianna Noale
- Neuroscience Institute, Aging Branch, National Research Council (CNR), Viale Giuseppe Colombo 3, 35121 Padova, Italy; (S.M.); (M.N.)
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6
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Eckhardt CM, Balte P, Morris JE, Bhatt SP, Couper D, Fetterman J, Freedman N, Jacobs DR, Hou L, Kalhan R, Liu Y, Loehr L, Lutsey PL, Schwartz JE, White W, Yende S, London SJ, Sanchez TR, Oelsner EC. Non-cigarette tobacco products, aryl-hydrocarbon receptor repressor gene methylation and smoking-related health outcomes. Thorax 2024; 79:1060-1068. [PMID: 39033027 PMCID: PMC11483209 DOI: 10.1136/thorax-2023-220731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 07/01/2024] [Indexed: 07/23/2024]
Abstract
INTRODUCTION Cigarette smoking leads to altered DNA methylation at the aryl-hydrocarbon receptor repressor (AHRR) gene. However, it remains unknown whether pipe or cigar smoking is associated with AHRR methylation. We evaluated associations of non-cigarette tobacco use with AHRR methylation and determined if AHRR methylation was associated with smoking-related health outcomes. METHODS Data were pooled across four population-based cohorts that enrolled participants from 1985 to 2002. Tobacco exposures were evaluated using smoking questionnaires. AHRR cg05575921 methylation was measured in peripheral blood leucocyte DNA. Spirometry and respiratory symptoms were evaluated at the time of methylation measurements and in subsequent visits. Vital status was monitored using the National Death Index. RESULTS Among 8252 adults (mean age 56.7±10.3 years, 58.1% women, 40.6% black), 4857 (58.9%) participants used cigarettes and 634 (7.7%) used non-cigarette tobacco products. Exclusive use of non-cigarette tobacco products was independently associated with lower AHRR methylation (-2.44 units, 95% CI -4.42 to -0.45), though to a lesser extent than exclusive use of cigarettes (-6.01 units, 95% CI -6.01 to -4.10). Among participants who exclusively used non-cigarette tobacco products, reduced AHRR methylation was associated with increased respiratory symptom burden (OR 1.60, 95% CI 1.03 to 2.68) and higher all-cause mortality (log-rank p=0.02). CONCLUSION Pipe and cigar smoking were independently associated with lower AHRR methylation in a multiethnic cohort of US adults. Among users of non-cigarette tobacco products, lower AHRR methylation was associated with poor respiratory health outcomes and increased mortality. AHRR methylation may identify non-cigarette tobacco users with an increased risk of adverse smoking-related health outcomes.
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Affiliation(s)
- Christina M Eckhardt
- Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA
- Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York, USA
| | - Pallavi Balte
- Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA
| | - Jack E Morris
- Columbia University Mailman School of Public Health, New York, New York, USA
| | - Surya P Bhatt
- Pulmonary, Allergy and Critical Care Medicine, University of Alabama School of Natural Sciences and Mathematics, Birmingham, Alabama, USA
| | - David Couper
- Biostatistics, The University of North Carolina, Chapel Hill, North Carolina, USA
| | | | - Neal Freedman
- Nutritional Epidemiology, National Institutes of Health, Bethesda, Maryland, USA
| | - David R Jacobs
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, Minnesota, USA
| | - Lifang Hou
- Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Ravi Kalhan
- Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Yongmei Liu
- Duke University, Durham, North Carolina, USA
| | - Laura Loehr
- The University of North Carolina, Chapel Hill, North Carolina, USA
| | - Pamela L Lutsey
- University of Minnesota School of Public Health, Minneapolis, Minnesota, USA
| | - Joseph E Schwartz
- Center for Behavioral Cardiovascular Health, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA
| | - Wendy White
- Tougaloo College, Tougaloo, Mississippi, USA
| | - Sachin Yende
- University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | | | - Tiffany R Sanchez
- Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York, USA
| | - Elizabeth C Oelsner
- Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA
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7
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Oelsner EC, Sun Y, Balte PP, Allen NB, Andrews H, Carson A, Cole SA, Coresh J, Couper D, Cushman M, Daviglus M, Demmer RT, Elkind MSV, Gallo LC, Gutierrez JD, Howard VJ, Isasi CR, Judd SE, Kanaya AM, Kandula NR, Kaplan RC, Kinney GL, Kucharska-Newton AM, Lackland DT, Lee JS, Make BJ, Min YI, Murabito JM, Norwood AF, Ortega VE, Pettee Gabriel K, Psaty BM, Regan EA, Sotres-Alvarez D, Schwartz D, Shikany JM, Thyagarajan B, Tracy RP, Umans JG, Vasan RS, Wenzel SE, Woodruff PG, Xanthakis V, Zhang Y, Post WS. Epidemiologic Features of Recovery From SARS-CoV-2 Infection. JAMA Netw Open 2024; 7:e2417440. [PMID: 38884994 PMCID: PMC11184459 DOI: 10.1001/jamanetworkopen.2024.17440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Accepted: 04/17/2024] [Indexed: 06/18/2024] Open
Abstract
Importance Persistent symptoms and disability following SARS-CoV-2 infection, known as post-COVID-19 condition or "long COVID," are frequently reported and pose a substantial personal and societal burden. Objective To determine time to recovery following SARS-CoV-2 infection and identify factors associated with recovery by 90 days. Design, Setting, and Participants For this prospective cohort study, standardized ascertainment of SARS-CoV-2 infection was conducted starting in April 1, 2020, across 14 ongoing National Institutes of Health-funded cohorts that have enrolled and followed participants since 1971. This report includes data collected through February 28, 2023, on adults aged 18 years or older with self-reported SARS-CoV-2 infection. Exposure Preinfection health conditions and lifestyle factors assessed before and during the pandemic via prepandemic examinations and pandemic-era questionnaires. Main Outcomes and Measures Probability of nonrecovery by 90 days and restricted mean recovery times were estimated using Kaplan-Meier curves, and Cox proportional hazards regression was performed to assess multivariable-adjusted associations with recovery by 90 days. Results Of 4708 participants with self-reported SARS-CoV-2 infection (mean [SD] age, 61.3 [13.8] years; 2952 women [62.7%]), an estimated 22.5% (95% CI, 21.2%-23.7%) did not recover by 90 days post infection. Median (IQR) time to recovery was 20 (8-75) days. By 90 days post infection, there were significant differences in restricted mean recovery time according to sociodemographic, clinical, and lifestyle characteristics, particularly by acute infection severity (outpatient vs critical hospitalization, 32.9 days [95% CI, 31.9-33.9 days] vs 57.6 days [95% CI, 51.9-63.3 days]; log-rank P < .001). Recovery by 90 days post infection was associated with vaccination prior to infection (hazard ratio [HR], 1.30; 95% CI, 1.11-1.51) and infection during the sixth (Omicron variant) vs first wave (HR, 1.25; 95% CI, 1.06-1.49). These associations were mediated by reduced severity of acute infection (33.4% and 17.6%, respectively). Recovery was unfavorably associated with female sex (HR, 0.85; 95% CI, 0.79-0.92) and prepandemic clinical cardiovascular disease (HR, 0.84; 95% CI, 0.71-0.99). No significant multivariable-adjusted associations were observed for age, educational attainment, smoking history, obesity, diabetes, chronic kidney disease, asthma, chronic obstructive pulmonary disease, or elevated depressive symptoms. Results were similar for reinfections. Conclusions and Relevance In this cohort study, more than 1 in 5 adults did not recover within 3 months of SARS-CoV-2 infection. Recovery within 3 months was less likely in women and those with preexisting cardiovascular disease and more likely in those with COVID-19 vaccination or infection during the Omicron variant wave.
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Affiliation(s)
- Elizabeth C. Oelsner
- Division of General Medicine, Department of Medicine, Columbia University Irving Medical Center, New York, New York
| | - Yifei Sun
- Department of Biostatistics, Mailman School of Public Health, Columbia University Irving Medical Center, New York, New York
| | - Pallavi P. Balte
- Division of General Medicine, Department of Medicine, Columbia University Irving Medical Center, New York, New York
| | - Norrina B. Allen
- Center for Epidemiology and Population Health, Northwestern Feinberg School of Medicine, Chicago, Illinois
| | - Howard Andrews
- Department of Biostatistics, Mailman School of Public Health, Columbia University Irving Medical Center, New York, New York
| | - April Carson
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham
| | | | - Josef Coresh
- Departments of Medicine and Public Health, NYU Grossman School of Medicine, New York, New York
| | - David Couper
- Collaborative Studies Coordinating Center, Department of Biostatistics, University of North Carolina, Chapel Hill
| | - Mary Cushman
- Division of Hematology/Oncology, Department of Medicine, Larner School of Medicine, University of Vermont, Burlington
| | - Martha Daviglus
- Institute for Minority Health Research, University of Illinois College of Medicine, Chicago
| | - Ryan T. Demmer
- Division of Epidemiology, Department of Quantitative Health Sciences, College of Medicine and Science, Mayo Clinic, Rochester, Minnesota
| | - Mitchell S. V. Elkind
- Department of Neurology, Columbia University Irving Medical Center, New York, New York
- American Heart Association, Dallas, Texas
| | - Linda C. Gallo
- Department of Psychology, San Diego State University, California
| | - Jose D. Gutierrez
- Department of Neurology, Columbia University Irving Medical Center, New York, New York
| | - Virginia J. Howard
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham
| | - Carmen R. Isasi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York
| | - Suzanne E. Judd
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham
| | - Alka M. Kanaya
- Departments of Medicine, Epidemiology, and Biostatistics, University of California, San Francisco
| | - Namratha R. Kandula
- Center for Epidemiology and Population Health, Northwestern Feinberg School of Medicine, Chicago, Illinois
- Department of Medicine, Northwestern Feinberg School of Medicine, Chicago, Illinois
| | - Robert C. Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York
| | | | | | - Daniel T. Lackland
- Department of Neurology, Medical University of South Carolina, Charleston
| | - Joyce S. Lee
- Division of Pulmonary and Critical Care, Department of Medicine, University of Colorado, Aurora
| | - Barry J. Make
- Division of Pulmonary, Critical Care and Sleep, Department of Medicine, National Jewish Health, Denver, Colorado
| | - Yuan-I. Min
- Department of Medicine, University of Mississippi Medical Center, Jackson
| | | | - Arnita F. Norwood
- Department of Medicine, University of Mississippi Medical Center, Jackson
| | - Victor E. Ortega
- Division of Pulmonary Medicine, Department of Medicine, Mayo Clinic, Phoenix, Arizona
| | - Kelley Pettee Gabriel
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham
| | - Bruce M. Psaty
- Departments of Epidemiology and Medicine, University of Washington, Seattle
| | - Elizabeth A. Regan
- Division of Rheumatology, Department of Medicine, National Jewish Health, Denver, Colorado
| | - Daniela Sotres-Alvarez
- Collaborative Studies Coordinating Center, Department of Biostatistics, University of North Carolina, Chapel Hill
| | - David Schwartz
- Division of Pulmonary and Critical Care, Department of Medicine, University of Colorado, Aurora
| | - James M. Shikany
- Division of Preventive Medicine, Heersink School of Medicine, University of Alabama at Birmingham
| | - Bharat Thyagarajan
- Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis
| | - Russell P. Tracy
- Department of Pathology and Laboratory Medicine, University of Vermont, Burlington
| | - Jason G. Umans
- MedStar Health Research Institute, School of Medicine, Georgetown University, Washington, District of Columbia
| | | | - Sally E. Wenzel
- Department of Pulmonary, Allergy and Critical Care, Department of Medicine, University of Pittsburgh, Pennsylvania
| | - Prescott G. Woodruff
- Divison of Pulmonary, Critical Care, Allergy and Sleep Medicine, Department of Medicine, University of California, San Francisco
| | - Vanessa Xanthakis
- Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Ying Zhang
- Departments of Biostatistics and Epidemiology, Hudson College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City
| | - Wendy S. Post
- Division of Cardiology, Departments of Medicine and Epidemiology, Johns Hopkins University, Baltimore, Maryland
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Abdalla M, Elalami R, Cho MH, O’Connor GT, Rice M, Horowitz M, Akhoundi N, Yen A, Kalhan R, Diaz AA. Airway Mucus Plugs in Community-Living Adults: A Study Protocol. JOURNAL OF CLINICAL & EXPERIMENTAL PATHOLOGY 2024; 14:492. [PMID: 39360267 PMCID: PMC11446186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Figures] [Subscribe] [Scholar Register] [Indexed: 10/04/2024]
Abstract
Introduction Mucus pathology plays a critical role in airway diseases like Chronic Bronchitis (CB) and Chronic Obstructive Pulmonary Disease (COPD). Up to 32% of community-living persons report clinical manifestations of mucus pathology (e.g., cough and sputum production). However, airway mucus pathology has not been systematically studied in community-living individuals. In this study, we will use an objective, reproducible assessment of mucus pathology on chest Computed Tomography (CT) scans from community-living individuals participating in the Coronary Artery Risk Development in Young Adults (CARDIA) and Framingham Heart Study (FHS) cohorts. Methods and analysis We will determine the clinical relevance of CT-based mucus plugs and modifiable and genetic risk and protective factors associated with this process. We will evaluate the associations of mucus plugs with lung function, respiratory symptoms, and chronic bronchitis and examine whether 5-yr. persistent CT-based mucus plugs are associated with the decline in FEV1 and future COPD. Also, we will assess whether modifiable factors, including air pollution and marijuana smoking are associated with increased odds of CT-based mucus plugs and whether cardiorespiratory fitness is related in an opposing manner. Finally, we will determine genetic resilience/susceptibility to mucus pathology. We will use CT data from the FHS and CARDIA cohorts and genome-wide sequencing data from the TOPMed initiative to identify common and rare variants associated with CT-based mucus plugging. Ethics and dissemination The Mass General Brigham Institutional Review Board approved the study. Findings will be disseminated through peer-reviewed journals and at professional conferences. Conclusion Determine whether the presence of CT-based mucus plugs is associated with lung health impairment, including reduced FEV1, more respiratory symptoms, and asthma. Identify modifiable risk and protective factors, such as pollution, exercise, smoking, and fitness that are associated with mucus plugs.
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Affiliation(s)
- Maya Abdalla
- Division of Pulmonary and Critical Care, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Rim Elalami
- Division of Pulmonary and Critical Care, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Michael H Cho
- Division of Pulmonary and Critical Care, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Pulmonary and Critical Care, Department of Medicine, Harvard Medical School, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - George T O’Connor
- Pulmonary Center, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts, USA
- The National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, Massachusetts, USA
| | - Mary Rice
- Division of Pulmonary, Sleep and Critical Care Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Michael Horowitz
- Department of Radiology, University of California, San Diego, 9452 Medical Center Dr, 4th Floor, La Jolla, CA 92037
| | - Neda Akhoundi
- Department of Radiology, University of California, San Diego, 9452 Medical Center Dr, 4th Floor, La Jolla, CA 92037
| | - Andrew Yen
- Department of Radiology, University of California, San Diego, 9452 Medical Center Dr, 4th Floor, La Jolla, CA 92037
| | - Ravi Kalhan
- Northwestern University Feinberg School of Medicine, 1700 W. Van Buren St, Ste. 470, 60612, Chicago, IL, USA
| | - Alejandro A. Diaz
- Division of Pulmonary and Critical Care, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Pulmonary and Critical Care, Department of Medicine, Harvard Medical School, Boston, MA, USA
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9
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Abdalla M, Elalami R, Cho MH, O'Connor GT, Rice M, Horowitz M, Akhoundi N, Yen A, Kalhan R, Diaz AA. Airway Mucus Plugs in Community-Living Adults: A Study Protocol. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.05.15.24307439. [PMID: 38798504 PMCID: PMC11118634 DOI: 10.1101/2024.05.15.24307439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
Introduction Mucus pathology plays a critical role in airway diseases like chronic bronchitis (CB) and chronic obstructive pulmonary disease (COPD). Up to 32% of community-living persons report clinical manifestations of mucus pathology (e.g., cough and sputum production). However, airway mucus pathology has not been systematically studied in community-living individuals. In this study, we will use an objective, reproducible assessment of mucus pathology on chest computed tomography (CT) scans from community-living individuals participating in the Coronary Artery Risk Development in Young Adults (CARDIA) and Framingham Heart Study (FHS) cohorts. Methods and analysis We will determine the clinical relevance of CT-based mucus plugs and modifiable and genetic risk and protective factors associated with this process. We will evaluate the associations of mucus plugs with lung function, respiratory symptoms, and chronic bronchitis and examine whether 5-yr. persistent CT-based mucus plugs are associated with the decline in FEV1 and future COPD. Also, we will assess whether modifiable factors, including air pollution and marijuana smoking are associated with increased odds of CT-based mucus plugs and whether cardiorespiratory fitness is related in an opposing manner. Finally, we will determine genetic resilience/susceptibility to mucus pathology. We will use CT data from the FHS and CARDIA cohorts and genome-wide sequencing data from the TOPMed initiative to identify common and rare variants associated with CT-based mucus plugging. Ethics and Dissemination The Mass General Brigham Institutional Review Board approved the study. Findings will be disseminated through peer-reviewed journals and at professional conferences.
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Affiliation(s)
- Maya Abdalla
- Division of Pulmonary and Critical Care, Department of Medicine, Brigham and Women's Hospital, Boston, MA
| | - Rim Elalami
- Division of Pulmonary and Critical Care, Department of Medicine, Brigham and Women's Hospital, Boston, MA
| | - Michael H Cho
- Division of Pulmonary and Critical Care, Department of Medicine, Brigham and Women's Hospital, Boston, MA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Harvard Medical School, Boston, MA
| | - George T O'Connor
- Pulmonary Center, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts, United States of America
- The National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, Massachusetts, United States of America
| | - Mary Rice
- Division of Pulmonary, Sleep and Critical Care Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Michael Horowitz
- Department of Radiology, University of California, San Diego, 9452 Medical Center Dr, 4th Floor, La Jolla, CA 92037
| | - Neda Akhoundi
- Department of Radiology, University of California, San Diego, 9452 Medical Center Dr, 4th Floor, La Jolla, CA 92037
| | - Andrew Yen
- Department of Radiology, University of California, San Diego, 9452 Medical Center Dr, 4th Floor, La Jolla, CA 92037
| | - Ravi Kalhan
- Northwestern University Feinberg School of Medicine, 1700 W. Van Buren St, Ste. 470, 60612, Chicago, IL, USA
| | - Alejandro A Diaz
- Division of Pulmonary and Critical Care, Department of Medicine, Brigham and Women's Hospital, Boston, MA
- Harvard Medical School, Boston, MA
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10
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Zhang Y, Dron JS, Bellows BK, Khera AV, Liu J, Balte PP, Oelsner EC, Amr SS, Lebo MS, Nagy A, Peloso GM, Natarajan P, Rotter JI, Willer C, Boerwinkle E, Ballantyne CM, Lutsey PL, Fornage M, Lloyd-Jones DM, Hou L, Psaty BM, Bis JC, Floyd JS, Vasan RS, Heard-Costa NL, Carson AP, Hall ME, Rich SS, Guo X, Kazi DS, de Ferranti SD, Moran AE. Familial Hypercholesterolemia Variant and Cardiovascular Risk in Individuals With Elevated Cholesterol. JAMA Cardiol 2024; 9:263-271. [PMID: 38294787 PMCID: PMC10831623 DOI: 10.1001/jamacardio.2023.5366] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 11/22/2023] [Indexed: 02/01/2024]
Abstract
Importance Familial hypercholesterolemia (FH) is a genetic disorder that often results in severely high low-density lipoprotein cholesterol (LDL-C) and high risk of premature coronary heart disease (CHD). However, the impact of FH variants on CHD risk among individuals with moderately elevated LDL-C is not well quantified. Objective To assess CHD risk associated with FH variants among individuals with moderately (130-189 mg/dL) and severely (≥190 mg/dL) elevated LDL-C and to quantify excess CHD deaths attributable to FH variants in US adults. Design, Setting, and Participants A total of 21 426 individuals without preexisting CHD from 6 US cohort studies (Atherosclerosis Risk in Communities study, Coronary Artery Risk Development in Young Adults study, Cardiovascular Health Study, Framingham Heart Study Offspring cohort, Jackson Heart Study, and Multi-Ethnic Study of Atherosclerosis) were included, 63 of whom had an FH variant. Data were collected from 1971 to 2018, and the median (IQR) follow-up was 18 (13-28) years. Data were analyzed from March to May 2023. Exposures LDL-C, cumulative past LDL-C, FH variant status. Main Outcomes and Measures Cox proportional hazards models estimated associations between FH variants and incident CHD. The Cardiovascular Disease Policy Model projected excess CHD deaths associated with FH variants in US adults. Results Of the 21 426 individuals without preexisting CHD (mean [SD] age 52.1 [15.5] years; 12 041 [56.2%] female), an FH variant was found in 22 individuals with moderately elevated LDL-C (0.3%) and in 33 individuals with severely elevated LDL-C (2.5%). The adjusted hazard ratios for incident CHD comparing those with and without FH variants were 2.9 (95% CI, 1.4-6.0) and 2.6 (95% CI, 1.4-4.9) among individuals with moderately and severely elevated LDL-C, respectively. The association between FH variants and CHD was slightly attenuated when further adjusting for baseline LDL-C level, whereas the association was no longer statistically significant after adjusting for cumulative past LDL-C exposure. Among US adults 20 years and older with no history of CHD and LDL-C 130 mg/dL or higher, more than 417 000 carry an FH variant and were projected to experience more than 12 000 excess CHD deaths in those with moderately elevated LDL-C and 15 000 in those with severely elevated LDL-C compared with individuals without an FH variant. Conclusions and Relevance In this pooled cohort study, the presence of FH variants was associated with a 2-fold higher CHD risk, even when LDL-C was only moderately elevated. The increased CHD risk appeared to be largely explained by the higher cumulative LDL-C exposure in individuals with an FH variant compared to those without. Further research is needed to assess the value of adding genetic testing to traditional phenotypic FH screening.
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Affiliation(s)
- Yiyi Zhang
- Division of General Medicine, Columbia University, New York, New York
| | - Jacqueline S. Dron
- Cardiovascular Disease Initiative, Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge
- Center for Genomic Medicine, Massachusetts General Hospital, Boston
| | | | - Amit V. Khera
- Cardiovascular Disease Initiative, Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
- Division of Cardiology, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Junxiu Liu
- Department of Population Health Science and Policy, Icahn School of Medicine, Mount Sinai, New York, New York
| | - Pallavi P. Balte
- Division of General Medicine, Columbia University, New York, New York
| | | | - Sami Samir Amr
- Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
- Laboratory for Molecular Medicine, Personalized Medicine, Mass General Brigham, Cambridge, Massachusetts
| | - Matthew S. Lebo
- Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
- Laboratory for Molecular Medicine, Personalized Medicine, Mass General Brigham, Cambridge, Massachusetts
| | - Anna Nagy
- Laboratory for Molecular Medicine, Personalized Medicine, Mass General Brigham, Cambridge, Massachusetts
| | - Gina M. Peloso
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Pradeep Natarajan
- Cardiovascular Disease Initiative, Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
- Department of Medicine, Massachusetts General Hospital, Boston
| | - 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, California
| | - Cristen Willer
- Department of Internal Medicine, University of Michigan, Ann Arbor
- Department of Human Genetics, University of Michigan, Ann Arbor
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor
| | - Eric Boerwinkle
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston
| | | | - Pamela L. Lutsey
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis
| | - Myriam Fornage
- The Brown Foundation Institute of Molecular Medicine, University of Texas Health Science Center at Houston
| | | | - Lifang Hou
- Northwestern University, Chicago, Illinois
| | - Bruce M. Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle
- Department of Epidemiology, University of Washington, Seattle
- Department of Health Systems and Population Health, University of Washington, Seattle
| | - Joshua C. Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle
| | - James S. Floyd
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle
- Department of Epidemiology, University of Washington, Seattle
| | - Ramachandran S. Vasan
- The Framingham Heart Study, Framingham, Massachusetts
- Section of Preventive Medicine and Epidemiology, Boston University School of Medicine, Boston, Massachusetts
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - Nancy L. Heard-Costa
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
| | - April P. Carson
- Department of Medicine, University of Mississippi Medical Center, Jackson
| | - Michael E. Hall
- Department of Medicine, University of Mississippi Medical Center, Jackson
| | - Stephen S. Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California
| | - Dhruv S. Kazi
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
- Richard A. and Susan F. Smith Center for Outcomes Research, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Sarah D. de Ferranti
- Department of Cardiology, Boston Children’s Hospital, Boston, Massachusetts
- Department of Pediatrics, Harvard Medical School, Boston, Massachusetts
| | - Andrew E. Moran
- Division of General Medicine, Columbia University, New York, New York
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11
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Zhang F, Bryant KB, Moran AE, Zhang Y, Cohen JB, Bress AP, Sheppard JP, King JB, Derington CG, Weintraub WS, Kronish IM, Shea S, Bellows BK. Effectiveness of Hypertension Management Strategies in SPRINT-Eligible US Adults: A Simulation Study. J Am Heart Assoc 2024; 13:e032370. [PMID: 38214272 PMCID: PMC10926802 DOI: 10.1161/jaha.123.032370] [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: 08/24/2023] [Accepted: 12/01/2023] [Indexed: 01/13/2024]
Abstract
BACKGROUND Despite reducing cardiovascular disease (CVD) events and death in SPRINT (Systolic Blood Pressure Intervention Trial), intensive systolic blood pressure goals have not been adopted in the United States. This study aimed to simulate the potential long-term impact of 4 hypertension management strategies in SPRINT-eligible US adults. METHODS AND RESULTS The validated Blood Pressure Control-Cardiovascular Disease Policy Model, a discrete event simulation of hypertension care processes (ie, visit frequency, blood pressure [BP] measurement accuracy, medication intensification, and medication adherence) and CVD outcomes, was populated with 25 000 SPRINT-eligible US adults. Four hypertension management strategies were simulated: (1) usual care targeting BP <140/90 mm Hg (Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure usual care), (2) intensive care per the SPRINT protocol targeting BP <120/90 mm Hg (SPRINT intensive), (3) usual care targeting guideline-recommended BP <130/80 mm Hg (American College of Cardiology/American Heart Association usual care), and (4) team-based care added to usual care and targeting BP <130/80 mm Hg. Relative to the Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure usual care, among the 18.1 million SPRINT-eligible US adults, an estimated 138 100 total CVD events could be prevented per year with SPRINT intensive, 33 900 with American College of Cardiology/American Heart Association usual care, and 89 100 with team-based care. Compared with the Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure usual care, SPRINT intensive care was projected to increase treatment-related serious adverse events by 77 600 per year, American College of Cardiology/American Heart Association usual care by 33 300, and team-based care by 27 200. CONCLUSIONS As BP control has declined in recent years, health systems must prioritize hypertension management and invest in effective strategies. Adding team-based care to usual care may be a pragmatic way to manage risk in this high-CVD-risk population.
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Affiliation(s)
- Fengdi Zhang
- Department of MedicineColumbia UniversityNew YorkNYUSA
| | | | | | - Yiyi Zhang
- Department of MedicineColumbia UniversityNew YorkNYUSA
| | - Jordana B. Cohen
- Department of Medicine and Department of Biostatistics, Epidemiology, and InformaticsUniversity of PennsylvaniaPhiladelphiaPAUSA
| | - Adam P. Bress
- Intermountain Healthcare Department of Population Health SciencesUniversity of UtahSalt Lake CityUTUSA
| | - James P. Sheppard
- Nuffield Department of Primary Care Health SciencesUniversity of OxfordUK
| | - Jordan B. King
- Intermountain Healthcare Department of Population Health SciencesUniversity of UtahSalt Lake CityUTUSA
- Institute for Health ResearchKaiser Permanente ColoradoAuroraCOUSA
| | - Catherine G. Derington
- Intermountain Healthcare Department of Population Health SciencesUniversity of UtahSalt Lake CityUTUSA
| | - William S. Weintraub
- Department of MedicineGeorgetown UniversityWashingtonDCUSA
- MedStar Health Research InstituteWashingtonDCUSA
| | | | - Steven Shea
- Department of MedicineColumbia UniversityNew YorkNYUSA
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12
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Bryan AS, Moran AE, Mobley CM, Derington CG, Rodgers A, Zhang Y, Fontil V, Shea S, Bellows BK. Cost-effectiveness analysis of initial treatment with single-pill combination antihypertensive medications. J Hum Hypertens 2023; 37:985-992. [PMID: 36792728 PMCID: PMC10425570 DOI: 10.1038/s41371-023-00811-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 01/26/2023] [Accepted: 02/03/2023] [Indexed: 02/17/2023]
Abstract
Hypertension guidelines recommend initiating treatment with single pill combination (SPC) antihypertensive medications, but SPCs are used by only one-third of treated hypertensive US adults. This analysis estimated the cost-effectiveness of initial treatment with SPC dual antihypertensive medications compared with usual care monotherapy in hypertensive US adults.The validated BP Control Model-Cardiovascular Disease (CVD) Policy Model simulated initial SPC dual therapy (two half-standard doses in a single pill) compared with initial usual care monotherapy (half-standard dose when baseline systolic BP < 20 mmHg above goal and one standard dose when ≥20 mmHg above goal). Secondary analyses examined equivalent dose monotherapy (one standard dose) and equivalent dose dual therapy as separate pills (two half-standard doses). The primary outcomes were direct healthcare costs, quality-adjusted life-years (QALYs), and incremental cost-effectiveness ratio (ICER) over 10 years from a US healthcare sector perspective.At 10 years, initial dual drug SPC was projected to yield 0.028 (95%UI 0.008 to 0.051) more QALYs at no greater cost ($73, 95%UI -$1 983 to $1 629) than usual care monotherapy. In secondary analysis, SPC dual therapy was cost-effective vs. equivalent dose monotherapy (ICER $8 000/QALY gained) and equivalent dose dual therapy as separate pills (ICER $57 000/QALY gained). At average drug prices, initiating antihypertensive treatment with SPC dual therapy is more effective at no greater cost than usual care initial monotherapy and has the potential to improve BP control rates and reduce the burden of CVD in the US.
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13
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Patchen BK, Balte P, Bartz TM, Barr RG, Fornage M, Graff M, Jacobs DR, Kalhan R, Lemaitre RN, O'Connor G, Psaty B, Seo J, Tsai MY, Wood AC, Xu H, Zhang J, Gharib SA, Manichaikul A, North K, Steffen LM, Dupuis J, Oelsner E, Hancock DB, Cassano PA. Investigating Associations of Omega-3 Fatty Acids, Lung Function Decline, and Airway Obstruction. Am J Respir Crit Care Med 2023; 208:846-857. [PMID: 37470492 DOI: 10.1164/rccm.202301-0074oc] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Accepted: 06/26/2023] [Indexed: 07/21/2023] Open
Abstract
Rationale: Inflammation contributes to lung function decline and the development of chronic obstructive pulmonary disease. Omega-3 fatty acids have antiinflammatory properties and may benefit lung health. Objectives: To investigate associations of omega-3 fatty acids with lung function decline and incident airway obstruction in a diverse sample of adults from general-population cohorts. Methods: Complementary study designs: 1) longitudinal study of plasma phospholipid omega-3 fatty acids and repeated FEV1 and FVC measures in the NHLBI Pooled Cohorts Study and 2) two-sample Mendelian randomization (MR) study of genetically predicted omega-3 fatty acids and lung function parameters. Measurements and Main Results: The longitudinal study found that higher omega-3 fatty acid levels were associated with attenuated lung function decline in 15,063 participants, with the largest effect sizes for the most metabolically downstream omega-3 fatty acid, docosahexaenoic acid (DHA). An increase in DHA of 1% of total fatty acids was associated with attenuations of 1.4 ml/yr for FEV1 (95% confidence interval [CI], 1.1-1.8) and 2.0 ml/yr for FVC (95% CI, 1.6-2.4) and a 7% lower incidence of spirometry-defined airway obstruction (95% CI, 0.89-0.97). DHA associations persisted across sexes and smoking histories and in Black, White, and Hispanic participants, with associations of the largest magnitude in former smokers and Hispanic participants. The MR study showed similar trends toward positive associations of genetically predicted downstream omega-3 fatty acids with FEV1 and FVC. Conclusions: The longitudinal and MR studies provide evidence supporting beneficial effects of higher levels of downstream omega-3 fatty acids, especially DHA, on lung health.
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Affiliation(s)
- Bonnie K Patchen
- Division of Nutritional Sciences, Cornell University, Ithaca, New York
| | - Pallavi Balte
- Department of Medicine, Columbia University College of Physicians and Surgeons, New York, New York
| | - Traci M Bartz
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Systems and Population Health
| | - R Graham Barr
- Department of Medicine, Columbia University College of Physicians and Surgeons, New York, New York
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center, Houston, Texas
| | - Mariaelisa Graff
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina
| | - David R Jacobs
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, Minnesota
| | - Ravi Kalhan
- Departments of Medicine and Preventative Medicine, Northwestern Medicine, Chicago, Illinois
| | - Rozenn N Lemaitre
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Systems and Population Health
| | - George O'Connor
- Pulmonary, Allergy, Sleep and Critical Care Medicine, Boston University School of Medicine, Boston, Massachusetts
| | - Bruce Psaty
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Systems and Population Health
| | - Jungkyun Seo
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina
| | - Michael Y Tsai
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota
| | - Alexis C Wood
- U.S. Department of Agriculture/Agricultural Research Service Children Nutrition Research Center, Houston, Texas
| | - Hanfei Xu
- Departments of Biostatistics and Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - Jingwen Zhang
- Departments of Biostatistics and Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - Sina A Gharib
- Division of Pulmonary, Critical Care, and Sleep Medicine, University of Washington, Seattle, Washington
| | - Ani Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia
| | - Kari North
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center, Houston, Texas
| | - Lyn M Steffen
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina
| | - Josée Dupuis
- U.S. Department of Agriculture/Agricultural Research Service Children Nutrition Research Center, Houston, Texas
- Department of Epidemiology, Biostatistics and Occupational Health, School of Population and Global Health, McGill University, Montréal, Québec, Canada
| | - Elizabeth Oelsner
- Department of Medicine, Columbia University College of Physicians and Surgeons, New York, New York
| | - Dana B Hancock
- RTI International, Research Triangle Park, North Carolina; and
| | - Patricia A Cassano
- Division of Nutritional Sciences, Cornell University, Ithaca, New York
- Department of Population Health Sciences, Weill Cornell Medicine, New York, New York
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14
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MacDonald DM, Ji Y, Adabag S, Alonso A, Chen LY, Henkle BE, Juraschek SP, Norby FL, Lutsey PL, Kunisaki KM. Cardiovascular Autonomic Function and Incident Chronic Obstructive Pulmonary Disease Hospitalizations in Atherosclerosis Risk in Communities. Ann Am Thorac Soc 2023; 20:1435-1444. [PMID: 37364277 PMCID: PMC10559138 DOI: 10.1513/annalsats.202211-964oc] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Accepted: 06/23/2023] [Indexed: 06/28/2023] Open
Abstract
Rationale: The autonomic nervous system extensively innervates the lungs, but its role in chronic obstructive pulmonary disease (COPD) outcomes has not been well studied. Objective: We assessed relationships between cardiovascular autonomic nervous system measures (heart rate variability [HRV] and orthostatic hypotension [OH]) and incident COPD hospitalization in the multicenter ARIC (Atherosclerosis Risk In Communities) study. Methods: We used Cox proportional hazards regression models to estimate hazard ratios and 95% confidence intervals between baseline (1987-1989) autonomic function measures (HRV measures from 2-minute electrocardiograms and OH variables) and incident COPD hospitalizations through 2019. Adjusted analyses included demographic data, smoking status, lung function, comorbidities, and physical activity. We also performed analyses stratified by baseline airflow obstruction. Results: Of the 11,625 participants, (mean age, 53.8 yr), 56.5% were female and 26.3% identified as Black. Baseline mean percentage predicted forced expiratory volume in 1 second was 94 ± 17% (standard deviation), and 2,599 participants (22.4%) had airflow obstruction. During a median follow-up time of 26.9 years, there were 2,406 incident COPD hospitalizations. Higher HRV (i.e., better autonomic function) was associated with a lower risk of incident COPD hospitalization. Markers of worse autonomic function (OH and greater orthostatic changes in systolic and diastolic blood pressure) were associated with a higher risk of incident COPD hospitalization (hazard ratio for the presence of OH, 1.5; 95% confidence interval, 1.25-1.92). In stratified analyses, results were more robust in participants without airflow obstruction at baseline. Conclusions: In this large multicenter prospective community cohort, better cardiovascular autonomic function at baseline was associated with a lower risk of subsequent hospitalization for COPD, particularly among participants without evidence of lung disease at baseline.
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Affiliation(s)
| | - Yuekai Ji
- Division of Epidemiology and Community Health, and
| | - Selcuk Adabag
- Cardiology Section, Minneapolis VA Health Care System, Minneapolis, Minnesota
- Cardiovascular Division, University of Minnesota, Minneapolis, Minnesota
| | - Alvaro Alonso
- Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Lin Yee Chen
- Cardiovascular Division, University of Minnesota, Minneapolis, Minnesota
| | | | - Stephen P. Juraschek
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts; and
| | - Faye L. Norby
- Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Health System, Los Angeles, California
| | | | - Ken M. Kunisaki
- Pulmonary Section, and
- Pulmonary, Allergy, Critical Care, and Sleep
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15
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Bryant KB, Rao AS, Cohen LP, DanDan N, Kronish IM, Barai N, Fontil V, Zhang Y, Moran AE, Bellows BK. Effectiveness and Cost-Effectiveness of Team-Based Care for Hypertension: A Meta-Analysis and Simulation Study. Hypertension 2023; 80:1199-1208. [PMID: 36883454 PMCID: PMC10987007 DOI: 10.1161/hypertensionaha.122.20292] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 02/16/2023] [Indexed: 03/09/2023]
Abstract
BACKGROUND Team-based care (TBC), a team of ≥2 healthcare professionals working collaboratively toward a shared clinical goal, is a recommended strategy to manage blood pressure (BP). However, the most effective and cost-effective TBC strategy is unknown. METHODS A meta-analysis of clinical trials in US adults (aged ≥20 years) with uncontrolled hypertension (≥140/90 mm Hg) was performed to estimate the systolic BP reduction for TBC strategies versus usual care at 12 months. TBC strategies were stratified by the inclusion of a nonphysician team member who could titrate antihypertensive medications. The validated BP Control Model-Cardiovascular Disease Policy Model was used to project the expected BP reductions out to 10 years and simulate cardiovascular disease events, direct healthcare costs, quality-adjusted life years, and cost-effectiveness of TBC with physician and nonphysician titration. RESULTS Among 19 studies comprising 5993 participants, the 12-month systolic BP change versus usual care was -5.0 (95% CI, -7.9 to -2.2) mm Hg for TBC with physician titration and -10.5 (-16.2 to -4.8) mm Hg for TBC with nonphysician titration. Relative to usual care at 10 years, TBC with nonphysician titration was estimated to cost $95 (95% uncertainty interval, -$563 to $664) more per patient and gain 0.022 (0.003-0.042) quality-adjusted life years, costing $4400/quality-adjusted life year gained. TBC with physician titration was estimated to cost more and gain fewer quality-adjusted life years than TBC with nonphysician titration. CONCLUSIONS TBC with nonphysician titration yields superior hypertension outcomes compared with other strategies and is a cost-effective way to reduce hypertension-related morbidity and mortality in the United States.
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Affiliation(s)
| | - Aditi S. Rao
- Vagelos College of Physician and Surgeons, Columbia University, New York, NY
| | - Laura P. Cohen
- Vagelos College of Physician and Surgeons, Columbia University, New York, NY
| | - Nadine DanDan
- New York-Presbyterian Hospital, Columbia University Medical Center, New York, NY
| | - Ian M. Kronish
- Vagelos College of Physician and Surgeons, Columbia University, New York, NY
| | - Nikita Barai
- Icahn School of Medicine, Mount Sinai, New York, NY
| | - Valy Fontil
- Grossman School of Medicine, New York University, New York, NY
| | - Yiyi Zhang
- Vagelos College of Physician and Surgeons, Columbia University, New York, NY
| | - Andrew E. Moran
- Vagelos College of Physician and Surgeons, Columbia University, New York, NY
| | - Brandon K. Bellows
- Vagelos College of Physician and Surgeons, Columbia University, New York, NY
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16
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Dron JS, Patel AP, Zhang Y, Jurgens SJ, Maamari DJ, Wang M, Boerwinkle E, Morrison AC, de Vries PS, Fornage M, Hou L, Lloyd-Jones DM, Psaty BM, Tracy RP, Bis JC, Vasan RS, Levy D, Heard-Costa N, Rich SS, Guo X, Taylor KD, Gibbs RA, Rotter JI, Willer CJ, Oelsner EC, Moran AE, Peloso GM, Natarajan P, Khera AV. Association of Rare Protein-Truncating DNA Variants in APOB or PCSK9 With Low-density Lipoprotein Cholesterol Level and Risk of Coronary Heart Disease. JAMA Cardiol 2023; 8:258-267. [PMID: 36723951 PMCID: PMC9996405 DOI: 10.1001/jamacardio.2022.5271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Accepted: 11/29/2022] [Indexed: 02/02/2023]
Abstract
Importance Protein-truncating variants (PTVs) in apolipoprotein B (APOB) and proprotein convertase subtilisin/kexin type 9 (PCSK9) are associated with significantly lower low-density lipoprotein (LDL) cholesterol concentrations. The association of these PTVs with coronary heart disease (CHD) warrants further characterization in large, multiracial prospective cohort studies. Objective To evaluate the association of PTVs in APOB and PCSK9 with LDL cholesterol concentrations and CHD risk. Design, Setting, and Participants This studied included participants from 5 National Heart, Lung, and Blood Institute (NHLBI) studies and the UK Biobank. NHLBI study participants aged 5 to 84 years were recruited between 1971 and 2002 across the US and underwent whole-genome sequencing. UK Biobank participants aged 40 to 69 years were recruited between 2006 and 2010 in the UK and underwent whole-exome sequencing. Data were analyzed from June 2021 to October 2022. Exposures PTVs in APOB and PCSK9. Main Outcomes and Measures Estimated untreated LDL cholesterol levels and CHD. Results Among 19 073 NHLBI participants (10 598 [55.6%] female; mean [SD] age, 52 [17] years), 139 (0.7%) carried an APOB or PCSK9 PTV, which was associated with 49 mg/dL (95% CI, 43-56) lower estimated untreated LDL cholesterol level. Over a median (IQR) follow-up of 21.5 (13.9-29.4) years, incident CHD was observed in 12 of 139 carriers (8.6%) vs 3029 of 18 934 noncarriers (16.0%), corresponding to an adjusted hazard ratio of 0.51 (95% CI, 0.28-0.89; P = .02). Among 190 464 UK Biobank participants (104 831 [55.0%] female; mean [SD] age, 57 [8] years), 662 (0.4%) carried a PTV, which was associated with 45 mg/dL (95% CI, 42-47) lower estimated untreated LDL cholesterol level. Estimated CHD risk by age 75 years was 3.7% (95% CI, 2.0-5.3) in carriers vs 7.0% (95% CI, 6.9-7.2) in noncarriers, corresponding to an adjusted hazard ratio of 0.51 (95% CI, 0.32-0.81; P = .004). Conclusions and Relevance Among 209 537 individuals in this study, 0.4% carried an APOB or PCSK9 PTV that was associated with less exposure to LDL cholesterol and a 49% lower risk of CHD.
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Affiliation(s)
- Jacqueline S. Dron
- Center for Genomic Medicine, Department of Medicine, Massachusetts General Hospital, Boston
- Cardiovascular Disease Initiative, The Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Aniruddh P. Patel
- Center for Genomic Medicine, Department of Medicine, Massachusetts General Hospital, Boston
- Cardiovascular Disease Initiative, The Broad Institute of MIT and Harvard, Cambridge, Massachusetts
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Boston
| | - Yiyi Zhang
- Division of General Medicine, Columbia University, New York, New York
| | - Sean J. Jurgens
- Cardiovascular Disease Initiative, The Broad Institute of MIT and Harvard, Cambridge, Massachusetts
- Department of Experimental Cardiology, Amsterdam UMC, Amsterdam, the Netherlands
| | - Dimitri J. Maamari
- Center for Genomic Medicine, Department of Medicine, Massachusetts General Hospital, Boston
- Cardiovascular Disease Initiative, The Broad Institute of MIT and Harvard, Cambridge, Massachusetts
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Minxian Wang
- CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Eric Boerwinkle
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston
| | - Alanna C. Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston
| | - Paul S. de Vries
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston
| | - Myriam Fornage
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston
- Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston
| | - Lifang Hou
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Donald M. Lloyd-Jones
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Bruce M. Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle
- Department of Epidemiology, University of Washington, Seattle
- Department of Health Systems and Population Health, University of Washington, Seattle
| | - Russell P. Tracy
- Department of Pathology and Laboratory Medicine, Larner College of Medicine at the University of Vermont, Colchester, Vermont
- Department of Biochemistry, Larner College of Medicine at the University of Vermont, Colchester, Vermont
| | - Joshua C. Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle
| | - Ramachandran S. Vasan
- Sections of Preventive Medicine and Epidemiology, Cardiovascular Medicine, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
- Framingham Heart Study, Framingham, Massachusetts
| | - Daniel Levy
- Framingham Heart Study, Framingham, Massachusetts
- Population Sciences Branch, National Heart, Lung, and Blood Institute, Bethesda, Maryland
| | - Nancy Heard-Costa
- Framingham Heart Study, Framingham, Massachusetts
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts
| | - Stephen S. Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California
| | - Kent D. Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California
| | - Richard A. Gibbs
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas
| | - 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, California
| | | | | | - Andrew E. Moran
- Division of General Medicine, Columbia University, New York, New York
| | - Gina M. Peloso
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Pradeep Natarajan
- Cardiovascular Disease Initiative, The Broad Institute of MIT and Harvard, Cambridge, Massachusetts
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Boston
| | - Amit V. Khera
- Center for Genomic Medicine, Department of Medicine, Massachusetts General Hospital, Boston
- Cardiovascular Disease Initiative, The Broad Institute of MIT and Harvard, Cambridge, Massachusetts
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
- Verve Therapeutics, Boston, Massachusetts
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17
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Lou Z, Yi SS, Pomeranz J, Suss R, Russo R, Rummo PE, Eom H, Liu J, Zhang Y, Moran AE, Bellows BK, Kong N, Li Y. The Health and Economic Impact of Using a Sugar Sweetened Beverage Tax to Fund Fruit and Vegetable Subsidies in New York City: A Modeling Study. J Urban Health 2023; 100:51-62. [PMID: 36550343 PMCID: PMC9918717 DOI: 10.1007/s11524-022-00699-3] [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] [Accepted: 11/07/2022] [Indexed: 12/24/2022]
Abstract
Low fruit and vegetable (FV) intake and high sugar-sweetened beverage (SSB) consumption are independently associated with an increased risk of developing cardiovascular disease (CVD). Many people in New York City (NYC) have low FV intake and high SSB consumption, partly due to high cost of fresh FVs and low cost of and easy access to SSBs. A potential implementation of an SSB tax and an FV subsidy program could result in substantial public health and economic benefits. We used a validated microsimulation model for predicting CVD events to estimate the health impact and cost-effectiveness of SSB taxes, FV subsidies, and funding FV subsidies with an SSB tax in NYC. Population demographics and health profiles were estimated using data from the NYC Health and Nutrition Examination Survey. Policy effects and price elasticity were derived from recent meta-analyses. We found that funding FV subsidies with an SSB tax was projected to be the most cost-effective policy from the healthcare sector perspective. From the societal perspective, the most cost-effective policy was SSB taxes. All policy scenarios could prevent more CVD events and save more healthcare costs among men compared to women, and among Black vs. White adults. Public health practitioners and policymakers may want to consider adopting this combination of policy actions, while weighing feasibility considerations and other unintended consequences.
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Affiliation(s)
- Zhouyang Lou
- School of Industrial Engineering, Purdue University, West Lafayette, IN, USA
| | - Stella S Yi
- Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA
| | - Jennifer Pomeranz
- Department of Public Health Policy and Management, School of Global Public Health, New York University, New York, NY, USA
| | - Rachel Suss
- Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA
| | - Rienna Russo
- Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Pasquale E Rummo
- Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA
| | - Heesun Eom
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Junxiu Liu
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Yiyi Zhang
- Division of General Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Andrew E Moran
- Division of General Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Brandon K Bellows
- Division of General Medicine, Columbia University Irving Medical Center, New York, NY, USA.
| | - Nan Kong
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA.
| | - Yan Li
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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18
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Patchen BK, Balte P, Bartz TM, Barr RG, Fornage M, Graff M, Jacobs DR, Kalhan R, Lemaitre RN, O'Connor G, Psaty B, Seo J, Tsai MY, Wood AC, Xu H, Zhang J, Gharib SA, Manichaikul A, North K, Steffen LM, Dupuis J, Oelsner E, Hancock DB, Cassano PA. Investigating associations of omega-3 fatty acids, lung function decline, and airway obstruction. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.01.18.23284671. [PMID: 36711663 PMCID: PMC9882557 DOI: 10.1101/2023.01.18.23284671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Rationale Inflammation contributes to lung function decline and the development of chronic obstructive pulmonary disease. Omega-3 fatty acids have anti-inflammatory properties and may benefit lung health. Objectives Investigate associations of omega-3 fatty acids with lung function decline and incident airway obstruction in adults of diverse races/ethnicities from general population cohorts. Methods Complementary study designs: (1) longitudinal study of plasma phospholipid omega-3 fatty acids and repeated FEV 1 and FVC measures in the National Heart, Lung, and Blood Institute Pooled Cohorts Study, and (2) two-sample Mendelian Randomization (MR) study of genetically predicted omega-3 fatty acids and lung function parameters. Measurements and Main Results The longitudinal study found that higher omega-3 fatty acid concentrations were associated with attenuated lung function decline in 15,063 participants, with the largest effect sizes for docosahexaenoic acid (DHA). One standard deviation higher DHA was associated with an attenuation of 1.8 mL/year for FEV 1 (95% confidence interval [CI] 1.3-2.2) and 2.4 mL/year for FVC (95% CI 1.9-3.0). One standard deviation higher DHA was also associated with a 9% lower incidence of spirometry-defined airway obstruction (95% CI 0.86-0.97). DHA associations persisted across sexes, smoking histories, and Black, white and Hispanic participants, with the largest magnitude associations in former smokers and Hispanics. The MR study showed positive associations of genetically predicted omega-3 fatty acids with FEV 1 and FVC, with statistically significant findings across multiple MR methods. Conclusions The longitudinal and MR studies provide evidence supporting beneficial effects of higher circulating omega-3 fatty acids, especially DHA, on lung health.
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Affiliation(s)
- Bonnie K Patchen
- Division of Nutritional Sciences, Cornell University, Ithaca, NY
| | - Palavi Balte
- Department of Medicine, Columbia University College of Physicians and Surgeons, New York, NY
| | - Traci M Bartz
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, Health Systems and Population Health, University of Washington, Seattle, WA
| | - R Graham Barr
- Department of Medicine, Columbia University College of Physicians and Surgeons, New York, NY
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center, Houston, TX
| | - Mariaelisa Graff
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC
| | - David R Jacobs
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN
| | | | - Rozenn N Lemaitre
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, Health Systems and Population Health, University of Washington, Seattle, WA
| | | | - Bruce Psaty
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, Health Systems and Population Health, University of Washington, Seattle, WA
| | - Jungkyun Seo
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC
| | - Michael Y Tsai
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN
| | - Alexis C Wood
- USDA/ARS Children's Nutrition Research Center, Houston, TX
| | - Hanfei Xu
- Boston University School of Public Health, Boston, MA
| | - Jingwen Zhang
- Boston University School of Public Health, Boston, MA
| | - Sina A Gharib
- Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, WA
| | - Ani Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA
| | - Kari North
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC
| | - Lyn M Steffen
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, MN
| | - Josée Dupuis
- Boston University School of Public Health, Boston, MA
- Department of Epidemiology, Biostatistics and Occupational Health, School of Population and Global Health, McGill University, Montréal, Québec
| | - Elizabeth Oelsner
- Department of Medicine, Columbia University College of Physicians and Surgeons, New York, NY
| | | | - Patricia A Cassano
- Division of Nutritional Sciences, Cornell University, Ithaca, NY
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY
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19
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Kim W, Hecker J, Barr RG, Boerwinkle E, Cade B, Correa A, Dupuis J, Gharib SA, Lange L, London SJ, Morrison AC, O'Connor GT, Oelsner EC, Psaty BM, Vasan RS, Redline S, Rich SS, Rotter JI, Yu B, Lange C, Manichaikul A, Zhou JJ, Sofer T, Silverman EK, Qiao D, Cho MH. Assessing the contribution of rare genetic variants to phenotypes of chronic obstructive pulmonary disease using whole-genome sequence data. Hum Mol Genet 2022; 31:3873-3885. [PMID: 35766891 PMCID: PMC9652112 DOI: 10.1093/hmg/ddac117] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 04/13/2022] [Accepted: 05/16/2021] [Indexed: 01/04/2023] Open
Abstract
RATIONALE Genetic variation has a substantial contribution to chronic obstructive pulmonary disease (COPD) and lung function measurements. Heritability estimates using genome-wide genotyping data can be biased if analyses do not appropriately account for the nonuniform distribution of genetic effects across the allele frequency and linkage disequilibrium (LD) spectrum. In addition, the contribution of rare variants has been unclear. OBJECTIVES We sought to assess the heritability of COPD and lung function using whole-genome sequence data from the Trans-Omics for Precision Medicine program. METHODS Using the genome-based restricted maximum likelihood method, we partitioned the genome into bins based on minor allele frequency and LD scores and estimated heritability of COPD, FEV1% predicted and FEV1/FVC ratio in 11 051 European ancestry and 5853 African-American participants. MEASUREMENTS AND MAIN RESULTS In European ancestry participants, the estimated heritability of COPD, FEV1% predicted and FEV1/FVC ratio were 35.5%, 55.6% and 32.5%, of which 18.8%, 19.7%, 17.8% were from common variants, and 16.6%, 35.8%, and 14.6% were from rare variants. These estimates had wide confidence intervals, with common variants and some sets of rare variants showing a statistically significant contribution (P-value < 0.05). In African-Americans, common variant heritability was similar to European ancestry participants, but lower sample size precluded calculation of rare variant heritability. CONCLUSIONS Our study provides updated and unbiased estimates of heritability for COPD and lung function, and suggests an important contribution of rare variants. Larger studies of more diverse ancestry will improve accuracy of these estimates.
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Affiliation(s)
- Wonji Kim
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Julian Hecker
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - R Graham Barr
- Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY 10032, USA
| | - Eric Boerwinkle
- Department of Epidemiology, Human Genetics and Environmental Sciences, 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
| | - Brian Cade
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Adolfo Correa
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Josée Dupuis
- Department of Biostatistics, Boston University of Public Health, Boston, MA 02118, USA
| | - Sina A Gharib
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98101, USA
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of Washington, Seattle, WA 98109, USA
| | - Leslie Lange
- Department of Medicine, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Stephanie J London
- Epidemiology Branch, National Institute of Environmental Health Sciences, Department of Health and Human Services, National Institutes of Health, Research Triangle Park, NC 27709, USA
| | - Alanna C Morrison
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - George T O'Connor
- Pulmonary Center, Boston University School of Medicine, Boston, MA 02118, USA
| | - Elizabeth C Oelsner
- Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY 10032, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98101, USA
- Departments of Epidemiology and Health Services, University of Washington, Seattle, WA 98101, USA
| | - Ramachandran S Vasan
- Lung and Blood Institute Framingham Heart Study, Boston University and National Heart, Framingham, MA 01702, USA
- Department of Preventive Medicine and Epidemiology, School of Medicine and Public Health, Boston University, Boston, MA 02118, USA
| | - Susan Redline
- Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, VA 22908, 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
| | - Bing Yu
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Christoph Lange
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Ani Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA
| | - Jin J Zhou
- Department of Epidemiology and Biostatistics, University of Arizona, Tucson, AZ 85721, USA
| | - Tamar Sofer
- Division of Sleep and Circadian Disorder, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Edwin K Silverman
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Dandi Qiao
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Michael H Cho
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
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20
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Peter KM, Pike JR, Preisser JS, Kucharska-Newton AM, Meyer ML, Mirabelli MC, Palta P, Hughes T, Matsushita K, Lu Y, Heiss G. Decline in Lung Function From Mid-to Late-Life With Central Arterial Stiffness: The Atherosclerosis Risk in Communities Study. Angiology 2022; 73:967-975. [PMID: 35624428 PMCID: PMC9490435 DOI: 10.1177/00033197221105747] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022]
Abstract
We investigated the association of lung function at mid-life, later in life, and its 20-year decline, with arterial stiffness later in life. We examined 5720 Atherosclerosis Risk in Communities Study participants who attended Visits 1 (1987-1989) and 5 (2011-2013). Lung function measures were forced expiratory volume in one second (FEV1) and forced vital capacity (FVC), obtained at Visits 1, 2 (1990-1992), and 5. Central artery stiffness (carotid-femoral pulse wave velocity [cfPWV]) was measured at Visit 5. We evaluated associations of lung function with later-life central artery stiffness and cfPWV >75th percentile by multivariable linear and logistic regressions. Lung function at Visit 1 (FEV1 β: -26, 95% Confidence Interval [CI]: -48, -5; FVC β: -14, 95% CI: -32, 5) and Visit 5 (FEV1 β: -22, 95% CI: -46, 2; FVC β: -18, 95% CI: -38, 2) were inversely associated with cfPWV at Visit 5, and with odds of high cfPWV in fully adjusted models. Twenty-year decline in lung function was not associated with continuous or dichotomous measures of arterial stiffness (FEV1 β: 11, 95% CI: -46, 68; FVC β: -4, 95% CI: -52, 43). Lung function at mid-life and late-life was inversely associated with arterial stiffness in later life.
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Affiliation(s)
- Kennedy M. Peter
- University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - James R. Pike
- University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - John S. Preisser
- University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Anna M. Kucharska-Newton
- University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- University of Kentucky – Lexington, Lexington, KY, USA
| | | | | | | | | | | | - Yifei Lu
- University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Gerardo Heiss
- University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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21
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Tang X, Lei J, Li W, Peng Y, Wang C, Huang K, Yang T. The Relationship Between BMI and Lung Function in Populations with Different Characteristics: A Cross-Sectional Study Based on the Enjoying Breathing Program in China. Int J Chron Obstruct Pulmon Dis 2022; 17:2677-2692. [PMID: 36281228 PMCID: PMC9587705 DOI: 10.2147/copd.s378247] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2022] [Accepted: 09/17/2022] [Indexed: 11/05/2022] Open
Abstract
Purpose To analyze the relationship between body mass index (BMI) and lung function, which may help optimize the screening and management process for chronic obstructive pulmonary disease (COPD) in the early stages. Patients and Methods In this cross-sectional study using data from the Enjoying Breathing Program in China, participants were divided into two groups according to COPD Screening Questionnaire (COPD-SQ) scores (at risk and not at risk of COPD) and three groups based on lung function (normal lung function, preserved ratio impaired spirometry [PRISm], and obstructive lung function). Results A total of 32,033 subjects were enrolled in the current analysis. First, in people at risk of COPD, overweight and obese participants had better forced expiratory volume in one second (FEV1; overweight: 0.33 liters (l), 95% confidence interval [CI]: 0.27 to 0.38; obesity: 0.31 L, 95% CI: 0.22 to 0.39) values than the normal BMI group. Second, among people with PRISm, underweight participants had a lower FEV1 (−0.56 L, 95% CI: −0.86 to −0.26) and forced vital capacity (FVC; −0.33 L, 95% CI: −0.55 to −0.11) than participants with a normal weight, and obese participants had a higher FEV1 (0.22 L, 95% CI: 0.02 to 0.42) and FVC (0.16 L, 95% CI: 0.02 to 0.30) than participants with a normal weight. Taking normal BMI as the reference group, lower FEV1 (−0.80 L, 95% CI: −0.97 to −0.63) and FVC (−0.53 L, 95% CI: −0.64 to −0.42) were found in underweight participants with obstructive spirometry, and better FEV1 (obesity: 0.26 L, 95% CI: 0.12 to 0.40) was found in obese participants with obstructive spirometry. Conclusion Being underweight and severely obese are associated with reduced lung function. Slight obesity was shown to be a protective factor for lung function in people at risk of COPD and those with PRISm.
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Affiliation(s)
- Xingyao Tang
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, 100029, People’s Republic of China,National Center for Respiratory Medicine, Beijing, 100029, People’s Republic of China,National Clinical Research Center for Respiratory Diseases, Beijing, 100029, People’s Republic of China,Capital Medical University, Beijing, 10069, People’s Republic of China
| | - Jieping Lei
- National Center for Respiratory Medicine, Beijing, 100029, People’s Republic of China,National Clinical Research Center for Respiratory Diseases, Beijing, 100029, People’s Republic of China,Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, 100029, People’s Republic of China,Department of Clinical Research and Data Management, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, 100029, People’s Republic of China
| | - Wei Li
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, 100029, People’s Republic of China,National Center for Respiratory Medicine, Beijing, 100029, People’s Republic of China,National Clinical Research Center for Respiratory Diseases, Beijing, 100029, People’s Republic of China,Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, 100029, People’s Republic of China
| | - Yaodie Peng
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, 100029, People’s Republic of China,Peking University Health Science Center, Beijing, 10029, People’s Republic of China
| | - Chen Wang
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, 100029, People’s Republic of China,National Center for Respiratory Medicine, Beijing, 100029, People’s Republic of China,National Clinical Research Center for Respiratory Diseases, Beijing, 100029, People’s Republic of China,Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, 100029, People’s Republic of China
| | - Ke Huang
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, 100029, People’s Republic of China,National Center for Respiratory Medicine, Beijing, 100029, People’s Republic of China,National Clinical Research Center for Respiratory Diseases, Beijing, 100029, People’s Republic of China,Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, 100029, People’s Republic of China,Correspondence: Ke Huang; Ting Yang, China-Japan Friendship Hospital, Beijing, 100029, People’s Republic of China, Tel +010-8420 6275, Email ;
| | - Ting Yang
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, 100029, People’s Republic of China,National Center for Respiratory Medicine, Beijing, 100029, People’s Republic of China,National Clinical Research Center for Respiratory Diseases, Beijing, 100029, People’s Republic of China,Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, 100029, People’s Republic of China
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22
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Krishnan JK, Rajan M, Banerjee S, Mallya SG, Han MK, Mannino DM, Martinez FJ, Safford MM. Race and Sex Differences in Mortality in Individuals with Chronic Obstructive Pulmonary Disease. Ann Am Thorac Soc 2022; 19:1661-1668. [PMID: 35657680 PMCID: PMC9528745 DOI: 10.1513/annalsats.202112-1346oc] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Accepted: 05/31/2022] [Indexed: 12/15/2022] Open
Abstract
Rationale: Despite differences in chronic obstructive pulmonary disease (COPD) comorbidities, race- and sex-based differences in all-cause mortality and cause-specific mortality are not well described. Objectives: To examine mortality differences in COPD by race-sex and underlying mechanisms. Methods: Medicare claims were used to identify COPD among REGARDS (Reasons for Geographic and Racial Differences in Stroke) cohort participants. Mortality rates were calculated using adjudicated causes of death. Hazard ratios (HRs) for mortality comparing race-sex groups were modeled with Cox proportional hazards regression. Results: In the 2,148-member COPD subcohort, 49% were women, and 34% were Black individuals; 1,326 deaths occurred over a median 7.5 years (interquartile range, 3.9-10.5 yr) follow-up. All-cause mortality per 1,000 person-years comparing Black versus White men was 101.1 (95% confidence interval [CI], 88.3-115.8) versus 93.9 (95% CI, 86.3-102.3; P = 0.99); comparing Black versus White women, all-cause mortality per 1,000 person-years was 74.2 (95% CI, 65.0-84.8) versus 70.6 (95% CI, 63.5-78.5; P = 0.99). Cardiovascular disease (CVD) was the leading cause-specific mortality among all race-sex groups. HR for CVD and chronic lung disease mortality were nonsignificant comparing Black versus White men. HR for CVD death was higher in Black compared with White women (HR, 1.44; 95% CI, 1.06-1.95), whereas chronic lung disease death was lower (HR, 0.44; 95% CI, 0.25-0.77). These differences were attributable to higher CVD risk factor burden among Black women. Conclusions: In the REGARDS COPD cohort, there were no race-sex differences in all-cause mortality. CVD was the most common cause of death for all race-sex groups with COPD. Black women with COPD had a higher risk of CVD-related mortality than White women. CVD comorbidity management, especially among Black individuals, may improve mortality outcomes.
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Affiliation(s)
| | - Mangala Rajan
- Division of General Internal Medicine, Weill Cornell Department of Medicine, New York, New York
| | - Samprit Banerjee
- Department of Population Health Sciences, Weill Cornell Medicine, New York, New York
| | - Sonal G. Mallya
- Division of General Internal Medicine, Weill Cornell Department of Medicine, New York, New York
| | - MeiLan K. Han
- Division of Pulmonary and Critical Care, University of Michigan, Ann Arbor, Michigan; and
| | - David M. Mannino
- Department of Preventative Medicine and Environmental Health, University of Kentucky, Lexington, Kentucky
| | | | - Monika M. Safford
- Division of General Internal Medicine, Weill Cornell Department of Medicine, New York, New York
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23
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Bhatt SP, Balte PP, Schwartz JE, Jaeger BC, Cassano PA, Chaves PH, Couper D, Jacobs DR, Kalhan R, Kaplan R, Lloyd-Jones D, Newman AB, O’Connor G, Sanders JL, Smith BM, Sun Y, Umans JG, White WB, Yende S, Oelsner EC. Pooled Cohort Probability Score for Subclinical Airflow Obstruction. Ann Am Thorac Soc 2022; 19:1294-1304. [PMID: 35176216 PMCID: PMC9353954 DOI: 10.1513/annalsats.202109-1020oc] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Accepted: 02/16/2022] [Indexed: 11/20/2022] Open
Abstract
Rationale: Early detection of chronic obstructive pulmonary disease (COPD) is a public health priority. Airflow obstruction is the single most important risk factor for adverse COPD outcomes, but spirometry is not routinely recommended for screening. Objectives: To describe the burden of subclinical airflow obstruction (SAO) and to develop a probability score for SAO to inform potential detection and prevention programs. Methods: Lung function and clinical data were harmonized and pooled across nine U.S. general population cohorts. Adults with respiratory symptoms, inhaler use, or prior diagnosis of COPD or asthma were excluded. A probability score for prevalent SAO (forced expiratory volume in 1 second/forced vital capacity < 0.70) was developed via hierarchical group-lasso regularization from clinical variables in strata of sex and smoking status, and its discriminative accuracy for SAO was assessed in the pooled cohort as well as in an external validation cohort (NHANES [National Health and Nutrition Examination Survey] 2011-2012). Incident hospitalizations and deaths due to COPD (respiratory events) were defined by adjudication or administrative criteria in four of nine cohorts. Results: Of 33,546 participants (mean age 52 yr, 54% female, 44% non-Hispanic White), 4,424 (13.2%) had prevalent SAO. The incidence of respiratory events (Nat-risk = 14,024) was threefold higher in participants with SAO versus those without (152 vs. 39 events/10,000 person-years). The probability score, which was based on six commonly available variables (age, sex, race and/or ethnicity, body mass index, smoking status, and smoking pack-years) was well calibrated and showed excellent discrimination in both the testing sample (C-statistic, 0.81; 95% confidence interval [CI], 0.80-0.82) and in NHANES (C-statistic, 0.83; 95% CI, 0.80-0.86). Among participants with predicted probabilities ⩾ 15%, 3.2 would need to undergo spirometry to detect one case of SAO. Conclusions: Adults with SAO demonstrate excess respiratory hospitalization and mortality. A probability score for SAO using commonly available clinical risk factors may be suitable for targeting screening and primary prevention strategies.
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Affiliation(s)
- Surya P. Bhatt
- Division of Pulmonary, Allergy, and Critical Care Medicine
- Lung Health Center, and
| | - Pallavi P. Balte
- Division of General Medicine, Columbia University Medical Center, New York, New York
| | - Joseph E. Schwartz
- Division of General Medicine, Columbia University Medical Center, New York, New York
- Department of Psychiatry and Behavioral Health, Renaissance School of Medicine, Stony Brook University, Stony Brook, New York
| | - Byron C. Jaeger
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, Alabama
| | - Patricia A. Cassano
- Division of Nutritional Sciences, Weill Cornell Medical College, Ithaca, New York
| | - Paulo H. Chaves
- Benjamin Leon Center for Geriatric Research and Education, Herbert Wertheim College of Medicine, Florida International University, Miami, Florida
| | - David Couper
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina
| | - David R. Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota
| | - Ravi Kalhan
- Division of Pulmonary and Critical Care Medicine and
| | - Robert Kaplan
- Albert Einstein College of Medicine, New York, New York
| | - Donald Lloyd-Jones
- Department of Preventive Medicine, Northwestern University, Chicago, Illinois
| | | | - George O’Connor
- Division of Pulmonary, Allergy, Sleep, and Critical Care, Boston University, Boston, Massachusetts
| | - Jason L. Sanders
- Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | | | | | - Jason G. Umans
- Georgetown Howard Universities Center for Clinical and Translational Science, Washington, DC
| | - Wendy B. White
- Undergraduate Training and Education Center, Tougaloo College, Tougaloo, Mississippi; and
| | - Sachin Yende
- Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
- Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania
| | - Elizabeth C. Oelsner
- Division of General Medicine, Columbia University Medical Center, New York, New York
- Department of Epidemiology, Mailman School of Public Health, Columbia University Medical Center, New York, New York
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24
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Green MB, Shimbo D, Schwartz JE, Bress AP, King JB, Muntner P, Sheppard JP, McManus RJ, Kohli-Lynch CN, Zhang Y, Shea S, Moran AE, Bellows BK. Cost-Effectiveness of Masked Hypertension Screening and Treatment in US Adults With Suspected Masked Hypertension: A Simulation Study. Am J Hypertens 2022; 35:752-762. [PMID: 35665802 PMCID: PMC9340638 DOI: 10.1093/ajh/hpac071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Revised: 04/25/2022] [Accepted: 06/01/2022] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND Recent US blood pressure (BP) guidelines recommend using ambulatory BP monitoring (ABPM) or home BP monitoring (HBPM) to screen adults for masked hypertension. However, limited evidence exists of the expected long-term effects of screening for and treating masked hypertension. METHODS We estimated the lifetime health and economic outcomes of screening for and treating masked hypertension using the Cardiovascular Disease (CVD) Policy Model, a validated microsimulation model. We simulated a cohort of 100,000 US adults aged ≥20 years with suspected masked hypertension (i.e., office BP 120-129/<80 mm Hg, not taking antihypertensive medications, without CVD history). We compared usual care only (i.e., no screening), usual care plus ABPM, and usual care plus HBPM. We projected total direct healthcare costs (2021 USD), quality-adjusted life years (QALYs), and incremental cost-effectiveness ratios. Future costs and QALYs were discounted 3% annually. Secondary outcomes included CVD events and serious adverse events. RESULTS Relative to usual care, adding masked hypertension screening and treatment with ABPM and HBPM was projected to prevent 14.3 and 20.5 CVD events per 100,000 person-years, increase the proportion experiencing any treatment-related serious adverse events by 2.7 and 5.1 percentage points, and increase mean total costs by $1,076 and $1,046, respectively. Compared with usual care, adding ABPM was estimated to cost $85,164/QALY gained. HBPM resulted in lower QALYs than usual care due to increased treatment-related adverse events and pill-taking disutility. CONCLUSIONS The results from our simulation study suggest screening with ABPM and treating masked hypertension is cost-effective in US adults with suspected masked hypertension.
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Affiliation(s)
- Matthew B Green
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Daichi Shimbo
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Joseph E Schwartz
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
- Department of Psychiatry and Behavioral Health, Stony Brook University, Stony Brook, New York, USA
| | - Adam P Bress
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah, USA
| | - Jordan B King
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah, USA
| | - Paul Muntner
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - James P Sheppard
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Richard J McManus
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Ciaran N Kohli-Lynch
- Center for Health Services and Outcomes Research, Institute of Public Health and Medicine, Northwestern Feinberg School of Medicine, Northwestern University, Chicago, Illinois,USA
| | - Yiyi Zhang
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Steven Shea
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Andrew E Moran
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Brandon K Bellows
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
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25
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Oelsner EC, Krishnaswamy A, Balte PP, Allen NB, Ali T, Anugu P, Andrews H, Arora K, Asaro A, Barr RG, Bertoni AG, Bon J, Boyle R, Chang AA, Chen G, Coady S, Cole SA, Coresh J, Cornell E, Correa A, Couper D, Cushman M, Demmer RT, Elkind MSV, Folsom AR, Fretts AM, Gabriel KP, Gallo L, Gutierrez J, Han MLK, Henderson JM, Howard VJ, Isasi CR, Jacobs Jr DR, Judd SE, Mukaz DK, Kanaya AM, Kandula NR, Kaplan R, Kinney GL, Kucharska-Newton A, Lee JS, Lewis CE, Levine DA, Levitan EB, Levy B, Make B, Malloy K, Manly JJ, Mendoza-Puccini C, Meyer KA, Min YI, Moll M, Moore WC, Mauger D, Ortega VE, Palta P, Parker MM, Phipatanakul W, Post WS, Postow L, Psaty BM, Regan EA, Ring K, Roger VL, Rotter JI, Rundek T, Sacco RL, Schembri M, Schwartz DA, Seshadri S, Shikany JM, Sims M, Hinckley Stukovsky KD, Talavera GA, Tracy RP, Umans JG, Vasan RS, Watson K, Wenzel SE, Winters K, Woodruff PG, Xanthakis V, Zhang Y, Zhang Y, C4R Investigators FT. Collaborative Cohort of Cohorts for COVID-19 Research (C4R) Study: Study Design. Am J Epidemiol 2022; 191:1153-1173. [PMID: 35279711 PMCID: PMC8992336 DOI: 10.1093/aje/kwac032] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 01/26/2022] [Accepted: 02/09/2022] [Indexed: 01/26/2023] Open
Abstract
The Collaborative Cohort of Cohorts for COVID-19 Research (C4R) is a national prospective study of adults comprising 14 established US prospective cohort studies. Starting as early as 1971, investigators in the C4R cohort studies have collected data on clinical and subclinical diseases and their risk factors, including behavior, cognition, biomarkers, and social determinants of health. C4R links this pre-coronavirus disease 2019 (COVID-19) phenotyping to information on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and acute and postacute COVID-related illness. C4R is largely population-based, has an age range of 18-108 years, and reflects the racial, ethnic, socioeconomic, and geographic diversity of the United States. C4R ascertains SARS-CoV-2 infection and COVID-19 illness using standardized questionnaires, ascertainment of COVID-related hospitalizations and deaths, and a SARS-CoV-2 serosurvey conducted via dried blood spots. Master protocols leverage existing robust retention rates for telephone and in-person examinations and high-quality event surveillance. Extensive prepandemic data minimize referral, survival, and recall bias. Data are harmonized with research-quality phenotyping unmatched by clinical and survey-based studies; these data will be pooled and shared widely to expedite collaboration and scientific findings. This resource will allow evaluation of risk and resilience factors for COVID-19 severity and outcomes, including postacute sequelae, and assessment of the social and behavioral impact of the pandemic on long-term health trajectories.
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Affiliation(s)
- Elizabeth C Oelsner
- Correspondence to Dr. Elizabeth C Oelsner, MD MPH, Herbert Irving Associate Professor of Medicine, Division of General Medicine, Columbia University Irving Medical Center, 622 West 168 Street, PH9-105K New York, NY 10032 Tel: 917-880-7099
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Eckhardt CM, Balte PP, Barr RG, Bertoni AG, Bhatt SP, Cuttica M, Cassano PA, Chaves P, Couper D, Jacobs DR, Kalhan R, Kronmal R, Lange L, Loehr L, London SJ, O’Connor GT, Rosamond W, Sanders J, Schwartz JE, Shah A, Shah SJ, Smith L, White W, Yende S, Oelsner EC. Lung function impairment and risk of incident heart failure: the NHLBI Pooled Cohorts Study. Eur Heart J 2022; 43:2196-2208. [PMID: 35467708 PMCID: PMC9631233 DOI: 10.1093/eurheartj/ehac205] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 02/06/2022] [Accepted: 03/22/2022] [Indexed: 12/16/2022] Open
Abstract
AIMS The aim is to evaluate associations of lung function impairment with risk of incident heart failure (HF). METHODS AND RESULTS Data were pooled across eight US population-based cohorts that enrolled participants from 1987 to 2004. Participants with self-reported baseline cardiovascular disease were excluded. Spirometry was used to define obstructive [forced expiratory volume in 1 s/forced vital capacity (FEV1/FVC) <0.70] or restrictive (FEV1/FVC ≥0.70, FVC <80%) lung physiology. The incident HF was defined as hospitalization or death caused by HF. In a sub-set, HF events were sub-classified as HF with reduced ejection fraction (HFrEF; EF <50%) or preserved EF (HFpEF; EF ≥50%). The Fine-Gray proportional sub-distribution hazards models were adjusted for sociodemographic factors, smoking, and cardiovascular risk factors. In models of incident HF sub-types, HFrEF, HFpEF, and non-HF mortality were treated as competing risks. Among 31 677 adults, there were 3344 incident HF events over a median follow-up of 21.0 years. Of 2066 classifiable HF events, 1030 were classified as HFrEF and 1036 as HFpEF. Obstructive [adjusted hazard ratio (HR) 1.17, 95% confidence interval (CI) 1.07-1.27] and restrictive physiology (adjusted HR 1.43, 95% CI 1.27-1.62) were associated with incident HF. Obstructive and restrictive ventilatory defects were associated with HFpEF but not HFrEF. The magnitude of the association between restrictive physiology and HFpEF was similar to associations with hypertension, diabetes, and smoking. CONCLUSION Lung function impairment was associated with increased risk of incident HF, and particularly incident HFpEF, independent of and to a similar extent as major known cardiovascular risk factors.
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Affiliation(s)
- Christina M Eckhardt
- Department of Medicine, Columbia University College of Physicians and Surgeons, 630 West 168th Street, Presbyterian Hospital 9th Floor, Suite 105, New York, NY 10032, USA
| | - Pallavi P Balte
- Department of Medicine, Columbia University College of Physicians and Surgeons, 630 West 168th Street, Presbyterian Hospital 9th Floor, Suite 105, New York, NY 10032, USA
| | - Robert Graham Barr
- Department of Medicine, Columbia University College of Physicians and Surgeons, 630 West 168th Street, Presbyterian Hospital 9th Floor, Suite 105, New York, NY 10032, USA
| | - Alain G Bertoni
- Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Surya P Bhatt
- Division of Pulmonary, University of Alabama at Birmingham, Allergy and Critical Care Medicine, Birmingham, AL, USA
| | - Michael Cuttica
- Department of Medicine, Northwestern University, Chicago, IL, USA
| | - Patricia A Cassano
- Division of Nutritional Sciences, Cornell University, College of Human Ecology, Cornell, NY, USA
| | - Paolo Chaves
- Department of Health and Society, Florida International University, Miami, FL, USA
| | - David Couper
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC, USA
| | - David R Jacobs
- Division of Epidemiology and Community Health, University of Minnesota, School of Public Health, Minneapolis, MN, USA
| | - Ravi Kalhan
- Department of Medicine, Northwestern University, Chicago, IL, USA
| | - Richard Kronmal
- Department of Statistics, University of Washington, School of Public Health, Seattle, WA, USA
| | - Leslie Lange
- Department of Medicine, University of Colorado, Denver, CO, USA
| | - Laura Loehr
- Department of Medicine, University of North Carolina, Chapel Hill, NC, USA
| | - Stephanie J London
- National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
| | | | - Wayne Rosamond
- Department of Medicine, University of North Carolina, Chapel Hill, NC, USA
| | - Jason Sanders
- Division of Pulmonary Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Joseph E Schwartz
- National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
| | - Amil Shah
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Sanjiv J Shah
- Department of Medicine, Northwestern University, Chicago, IL, USA
| | - Lewis Smith
- Department of Medicine, Northwestern University, Chicago, IL, USA
| | - Wendy White
- Undergraduate Training and Education Center, Tougaloo College, Jackson Heart Study, Jackson, MS, USA
| | - Sachin Yende
- Department of Critical Care Medicine, Veterans Affairs Pittsburgh Healthcare System and University of Pittsburgh, Pittsburgh, PA, USA
| | - Elizabeth C Oelsner
- Department of Medicine, Columbia University College of Physicians and Surgeons, 630 West 168th Street, Presbyterian Hospital 9th Floor, Suite 105, New York, NY 10032, USA
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Lauren BN, Lim F, Krikhely A, Taveras EM, Woo Baidal JA, Bellows BK, Hur C. Estimated Cost-effectiveness of Medical Therapy, Sleeve Gastrectomy, and Gastric Bypass in Patients With Severe Obesity and Type 2 Diabetes. JAMA Netw Open 2022; 5:e2148317. [PMID: 35157054 PMCID: PMC8845022 DOI: 10.1001/jamanetworkopen.2021.48317] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Accepted: 12/21/2021] [Indexed: 12/16/2022] Open
Abstract
Importance Bariatric surgery is recommended for patients with severe obesity (body mass index ≥40) and type 2 diabetes (T2D). However, the most cost-effective treatment remains unclear and may depend on the patient's T2D severity. Objective To estimate the cost-effectiveness of medical therapy, sleeve gastrectomy (SG), and Roux-en-Y gastric bypass (RYGB) among patients with severe obesity and T2D, stratified by T2D severity. Design, Setting, and Participants This economic evaluation used a microsimulation model to project health and cost outcomes of medical therapy, SG, and RYGB over 5 years. Time horizons varied between 10 and 30 years in sensitivity analyses. Model inputs were derived from clinical trials, large cohort studies, national databases, and published literature. Probabilistic sampling of model inputs accounted for parameter uncertainty. Estimates of US adults with severe obesity and T2D were derived from the National Health and Nutrition Examination Survey. Data analysis was performed from January 2020 to August 2021. Exposures Medical therapy, SG, and RYGB. Main Outcomes and Measures Quality-adjusted life-years (QALYs), costs (in 2020 US dollars), and incremental cost-effectiveness ratios (ICERs) were projected, with future cost and QALYs discounted 3.0% annually. A strategy was deemed cost-effective if the ICER was less than $100 000 per QALY. The preferred strategy resulted in the greatest number of QALYs gained while being cost-effective. Results The model simulated 1000 cohorts of 10 000 patients, of whom 16% had mild T2D, 56% had moderate T2D, and 28% had severe T2D at baseline. The mean age of simulated patients was 54.6 years (95% CI, 54.2-55.0 years), 61.6% (95% CI, 60.1%-63.4%) were female, and 65.1% (95% CI, 63.6%-66.7%) were non-Hispanic White. Compared with medical therapy over 5 years, RYGB was associated with the most QALYs gained in the overall population (mean, 0.44 QALY; 95% CI, 0.21-0.86 QALY) and when stratified by baseline T2D severity: mild (mean, 0.59 QALY; 95% CI, 0.35-0.98 QALY), moderate (mean, 0.50 QALY; 95% CI, 0.25-0.88 QALY), and severe (mean, 0.30 QALY; 95% CI, 0.07-0.79 QALY). RYGB was the preferred strategy in the overall population (ICER, $46 877 per QALY; 83.0% probability preferred) and when stratified by baseline T2D severity: mild (ICER, $36 479 per QALY; 73.7% probability preferred), moderate (ICER, $37 056 per QALY; 85.6% probability preferred), and severe (ICER, $98 940 per QALY; 40.2% probability preferred). The cost-effectiveness of RYGB improved over a longer time horizon. Conclusions and Relevance These findings suggest that the effectiveness and cost-effectiveness of bariatric surgery vary by baseline severity of T2D. Over a 5-year time horizon, RYGB is projected to be the preferred treatment strategy for patients with severe obesity regardless of baseline T2D severity.
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Affiliation(s)
- Brianna N. Lauren
- Department of Medicine, Columbia University Irving Medical Center, New York, New York
| | - Francesca Lim
- Department of Medicine, Columbia University Irving Medical Center, New York, New York
| | - Abraham Krikhely
- Department of Surgery, Columbia University Irving Medical Center, New York, New York
| | - Elsie M. Taveras
- Division of General Academic Pediatrics, Massachusetts General Hospital, Boston
| | | | - Brandon K. Bellows
- Department of Medicine, Columbia University Irving Medical Center, New York, New York
| | - Chin Hur
- Department of Medicine, Columbia University Irving Medical Center, New York, New York
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28
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Wan ES, Balte P, Schwartz JE, Bhatt SP, Cassano PA, Couper D, Daviglus ML, Dransfield MT, Gharib SA, Jacobs DR, Kalhan R, London SJ, Acien AN, O’Connor GT, Sanders JL, Smith BM, White W, Yende S, Oelsner EC. Association Between Preserved Ratio Impaired Spirometry and Clinical Outcomes in US Adults. JAMA 2021; 326:2287-2298. [PMID: 34905031 PMCID: PMC8672237 DOI: 10.1001/jama.2021.20939] [Citation(s) in RCA: 115] [Impact Index Per Article: 28.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2021] [Accepted: 11/03/2021] [Indexed: 11/14/2022]
Abstract
Importance Chronic lung diseases are a leading cause of morbidity and mortality. Unlike chronic obstructive pulmonary disease, clinical outcomes associated with proportional reductions in expiratory lung volumes without obstruction, otherwise known as preserved ratio impaired spirometry (PRISm), are poorly understood. Objective To examine the prevalence, correlates, and clinical outcomes associated with PRISm in US adults. Design, Setting, and Participants The National Heart, Lung, and Blood Institute (NHLBI) Pooled Cohorts Study was a retrospective study with harmonized pooled data from 9 US general population-based cohorts (enrollment, 65 251 participants aged 18 to 102 years of whom 53 701 participants had valid baseline lung function) conducted from 1971-2011 (final follow-up, December 2018). Exposures Participants were categorized into mutually exclusive groups by baseline lung function. PRISm was defined as the ratio of forced expiratory volume in the first second to forced vital capacity (FEV1:FVC) greater than or equal to 0.70 and FEV1 less than 80% predicted; obstructive spirometry FEV1:FVC ratio of less than 0.70; and normal spirometry FEV1:FVC ratio greater than or equal to 0.7 and FEV1 greater than or equal to 80% predicted. Main Outcomes and Measures Main outcomes were all-cause mortality, respiratory-related mortality, coronary heart disease (CHD)-related mortality, respiratory-related events (hospitalizations and mortality), and CHD-related events (hospitalizations and mortality) classified by adjudication or validated administrative criteria. Absolute risks were adjusted for age and smoking status. Poisson and Cox proportional hazards models comparing PRISm vs normal spirometry were adjusted for age, sex, race and ethnicity, education, body mass index, smoking status, cohort, and comorbidities. Results Among all participants (mean [SD] age, 53.2 [15.8] years, 56.4% women, 48.5% never-smokers), 4582 (8.5%) had PRISm. The presence of PRISm relative to normal spirometry was significantly associated with obesity (prevalence, 48.3% vs 31.4%; prevalence ratio [PR], 1.68 [95% CI, 1.55-1.82]), underweight (prevalence, 1.4% vs 1.0%; PR, 2.20 [95% CI, 1.72-2.82]), female sex (prevalence, 60.3% vs 59.0%; PR, 1.07 [95% CI, 1.01-1.13]), and current smoking (prevalence, 25.2% vs 17.5%; PR, 1.33 [95% CI, 1.22-1.45]). PRISm, compared with normal spirometry, was significantly associated with greater all-cause mortality (29.6/1000 person-years vs 18.0/1000 person-years; difference, 11.6/1000 person-years [95% CI, 10.0-13.1]; adjusted hazard ratio [HR], 1.50 [95% CI, 1.42-1.59]), respiratory-related mortality (2.1/1000 person-years vs 1.0/1000 person-years; difference, 1.1/1000 person-years [95% CI, 0.7-1.6]; adjusted HR, 1.95 [95% CI, 1.54-2.48]), CHD-related mortality (5.4/1000 person-years vs 2.6/1000 person-years; difference, 2.7/1000 person-years [95% CI, 2.1-3.4]; adjusted HR, 1.55 [95% CI, 1.36-1.77]), respiratory-related events (12.2/1000 person-years vs 6.0/1000 person-years; difference, 6.2/1000 person-years [95% CI, 4.9-7.5]; adjusted HR, 1.90 [95% CI, 1.69-2.14]), and CHD-related events (11.7/1000 person-years vs 7.0/1000 person-years; difference, 4.7/1000 person-years [95% CI, 3.7-5.8]; adjusted HR, 1.30 [95% CI, 1.18-1.42]). Conclusions and Relevance In a large, population-based sample of US adults, baseline PRISm, compared with normal spirometry, was associated with a small but statistically significant increased risk for mortality and adverse cardiovascular and respiratory outcomes. Further research is needed to explore whether this association is causal.
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Affiliation(s)
- Emily S. Wan
- Channing Division of Network Medicine, Brigham & Women’s Hospital, Boston, Massachusetts
- VA Boston Healthcare System, Boston, Massachusetts
| | | | - Joseph E. Schwartz
- Columbia University, New York, New York
- Renaissance School of Medicine at Stony Brook University, Stony Brook, New York
| | | | | | | | - Martha L. Daviglus
- Institute for Minority Health Research, University of Illinois College of Medicine, Chicago
| | | | - Sina A. Gharib
- Computational Medicine Core, Center for Lung Biology, Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle
| | | | | | - Stephanie J. London
- National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina
| | | | | | - Jason L. Sanders
- Division of Pulmonary and Critical Care, Brigham and Women’s Hospital, Boston, Massachusetts
| | | | | | - Sachin Yende
- University of Pittsburgh, Pittsburgh, Pennsylvania
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Nair N, Vittinghoff E, Pletcher MJ, Oelsner EC, Allen NB, Ndumele CE, West NA, Strotmeyer ES, Mukamal KJ, Siscovick DS, Biggs ML, Laferrère B, Moran AE, Zhang Y. Associations of Body Mass Index and Waist Circumference in Young Adulthood with Later Life Incident Diabetes. J Clin Endocrinol Metab 2021; 106:e5011-e5020. [PMID: 34302728 PMCID: PMC8864746 DOI: 10.1210/clinem/dgab551] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Indexed: 11/19/2022]
Abstract
CONTEXT The independent contribution of young adult exposure to overweight and obesity to later-life incident diabetes is not well studied. OBJECTIVE To assess the associations of exposures to elevated body mass index (BMI) and waist circumference (WC) in young adulthood (ages 18-39 years) with incident diabetes later in life (≥40 years). DESIGN Pooled data from 6 US prospective cohorts (Atherosclerosis Risk in Communities Study, Cardiovascular Risk Development in Young Adults Study, Cardiovascular Health Study, (4) Framingham Heart Study Offspring Cohort, (5) Health, Aging and Body Composition Study, and (6) Multi-Ethnic Study of Atherosclerosis. SETTING Population-based cohort studies. PARTICIPANTS 30 780 participants (56.1% female, 69.8% non-Hispanic white) without a diagnosis of diabetes by age 40. INTERVENTIONS We imputed BMI and WC trajectories from age 18 for every participant and estimated time-weighted average exposures to BMI or WC during young adulthood and later life. MAIN OUTCOME MEASURE(S) Incident diabetes defined as fasting glucose ≥126 mg/dL, nonfasting glucose ≥200 mg/dL, or use of diabetes medications. RESULTS During a 9-year median follow-up, 4323 participants developed incident diabetes. Young adult BMI and WC were associated with later-life incident diabetes after controlling for later-life exposures [hazard ratios (HR) 1.99 for BMI ≥ 30 kg/m2 and 2.13 for WC > 88cm (women)/>102cm (men) compared to normal ranges]. Young adult homeostatic model of insulin resistance mediated 49% and 44% of the association between BMI and WC with later-life incident diabetes. High-density lipoproteins and triglycerides mediated a smaller proportion of these associations. CONCLUSIONS Elevated BMI and WC during young adulthood were independently associated with later-life incident diabetes. Insulin resistance may be a key mediator.
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Affiliation(s)
- Nandini Nair
- Division of Endocrinology; Columbia University, New York, NY, USA
| | - Eric Vittinghoff
- Department of Epidemiology and Biostatistics; University of California, San Francisco, San Francisco, CA, USA
| | - Mark J Pletcher
- Department of Epidemiology and Biostatistics; Department of Medicine; University of California, San Francisco, San Francisco, CA, USA
| | | | - Norrina B Allen
- Department of Preventative Medicine; Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Chiadi E Ndumele
- Division of Cardiology; Department of Epidemiology; Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Nancy A West
- Division of Epidemiology, University of Utah, Salt Lake City, UT, USA
| | - Elsa S Strotmeyer
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Kenneth J Mukamal
- Division of General Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | | | - Mary L Biggs
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Blandine Laferrère
- New York Obesity Research Center; Division of Endocrinology; Columbia University, New York, NY, USA
| | - Andrew E Moran
- Division of General Medicine; Columbia University, New York, NY, USA
| | - Yiyi Zhang
- Division of General Medicine; Columbia University, New York, NY, USA
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Kohli-Lynch CN, Bellows BK, Zhang Y, Spring B, Kazi DS, Pletcher MJ, Vittinghoff E, Allen NB, Moran AE. Cost-Effectiveness of Lipid-Lowering Treatments in Young Adults. J Am Coll Cardiol 2021; 78:1954-1964. [PMID: 34763772 PMCID: PMC8597932 DOI: 10.1016/j.jacc.2021.08.065] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Revised: 08/09/2021] [Accepted: 08/24/2021] [Indexed: 11/16/2022]
Abstract
BACKGROUND Raised low-density lipoprotein cholesterol (LDL-C) in young adulthood (aged 18-39 years) is associated with atherosclerotic cardiovascular disease (ASCVD) later in life. Most young adults with elevated LDL-C do not currently receive lipid-lowering treatment. OBJECTIVES This study aimed to estimate the prevalence of elevated LDL-C in ASCVD-free U.S. young adults and the cost-effectiveness of lipid-lowering strategies for raised LDL-C in young adulthood compared with standard care. METHODS The prevalence of raised LDL-C was examined in the U.S. National Health and Nutrition Examination Survey. The CVD Policy Model projected lifetime quality-adjusted life years (QALYs), health care costs, and incremental cost-effectiveness ratios (ICERs) for lipid-lowering strategies. Standard care was statin treatment for adults aged ≥40 years based on LDL-C, ASCVD risk, or diabetes plus young adults with LDL-C ≥190 mg/dL. Lipid lowering incremental to standard care with moderate-intensity statins or intensive lifestyle interventions was simulated starting when young adult LDL-C was either ≥160 mg/dL or ≥130 mg/dL. RESULTS Approximately 27% of ASCVD-free young adults have LDL-C of ≥130 mg/dL, and 9% have LDL-C of ≥160 mg/dL. The model projected that young adult lipid lowering with statins or lifestyle interventions would prevent lifetime ASCVD events and increase QALYs compared with standard care. ICERs were US$31,000/QALY for statins in young adult men with LDL-C of ≥130 mg/dL and US$106,000/QALY for statins in young adult women with LDL-C of ≥130 mg/dL. Intensive lifestyle intervention was more costly and less effective than statin therapy. CONCLUSIONS Statin treatment for LDL-C of ≥130 mg/dL is highly cost-effective in young adult men and intermediately cost-effective in young adult women.
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Affiliation(s)
- Ciaran N Kohli-Lynch
- Division of General Medicine, Columbia University Irving Medical Center, New York, New York, USA; Center for Health Services and Outcomes Research, Northwestern University, Chicago, Illinois, USA; Health Economics and Health Technology Assessment, University of Glasgow, Glasgow, United Kingdom
| | - Brandon K Bellows
- Division of General Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Yiyi Zhang
- Division of General Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Bonnie Spring
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Dhruv S Kazi
- Smith Center for Outcomes Research in Cardiology, Division of Cardiology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Mark J Pletcher
- Department of Epidemiology and Biostatistics, University of California-San Francisco School of Medicine, San Francisco, California, USA
| | - Eric Vittinghoff
- Department of Epidemiology and Biostatistics, University of California-San Francisco School of Medicine, San Francisco, California, USA
| | - Norrina B Allen
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Andrew E Moran
- Division of General Medicine, Columbia University Irving Medical Center, New York, New York, USA.
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31
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Stilp AM, Emery LS, Broome JG, Buth EJ, Khan AT, Laurie CA, Wang FF, Wong Q, Chen D, D’Augustine CM, Heard-Costa NL, Hohensee CR, Johnson WC, Juarez LD, Liu J, Mutalik KM, Raffield LM, Wiggins KL, de Vries PS, Kelly TN, Kooperberg C, Natarajan P, Peloso GM, Peyser PA, Reiner AP, Arnett DK, Aslibekyan S, Barnes KC, Bielak LF, Bis JC, Cade BE, Chen MH, Correa A, Cupples LA, de Andrade M, Ellinor PT, Fornage M, Franceschini N, Gan W, Ganesh SK, Graffelman J, Grove ML, Guo X, Hawley NL, Hsu WL, Jackson RD, Jaquish CE, Johnson AD, Kardia SLR, Kelly S, Lee J, Mathias RA, McGarvey ST, Mitchell BD, Montasser ME, Morrison AC, North KE, Nouraie SM, Oelsner EC, Pankratz N, Rich SS, Rotter JI, Smith JA, Taylor KD, Vasan RS, Weeks DE, Weiss ST, Wilson CG, Yanek LR, Psaty BM, Heckbert SR, Laurie CC. A System for Phenotype Harmonization in the National Heart, Lung, and Blood Institute Trans-Omics for Precision Medicine (TOPMed) Program. Am J Epidemiol 2021; 190:1977-1992. [PMID: 33861317 PMCID: PMC8485147 DOI: 10.1093/aje/kwab115] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Revised: 04/09/2021] [Accepted: 04/13/2021] [Indexed: 11/12/2022] Open
Abstract
Genotype-phenotype association studies often combine phenotype data from multiple studies to increase statistical power. Harmonization of the data usually requires substantial effort due to heterogeneity in phenotype definitions, study design, data collection procedures, and data-set organization. Here we describe a centralized system for phenotype harmonization that includes input from phenotype domain and study experts, quality control, documentation, reproducible results, and data-sharing mechanisms. This system was developed for the National Heart, Lung, and Blood Institute's Trans-Omics for Precision Medicine (TOPMed) program, which is generating genomic and other -omics data for more than 80 studies with extensive phenotype data. To date, 63 phenotypes have been harmonized across thousands of participants (recruited in 1948-2012) from up to 17 studies per phenotype. Here we discuss challenges in this undertaking and how they were addressed. The harmonized phenotype data and associated documentation have been submitted to National Institutes of Health data repositories for controlled access by the scientific community. We also provide materials to facilitate future harmonization efforts by the community, which include 1) the software code used to generate the 63 harmonized phenotypes, enabling others to reproduce, modify, or extend these harmonizations to additional studies, and 2) the results of labeling thousands of phenotype variables with controlled vocabulary terms.
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Affiliation(s)
- Adrienne M Stilp
- Correspondence to Dr. Adrienne Stilp, Department of Biostatistics, School of Public Health, University of Washington, Box 359461, Seattle, WA 98195 (e-mail: )
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Electronic Health Records and Pulmonary Function Data: Developing an Interoperability Roadmap. An Official American Thoracic Society Workshop Report. Ann Am Thorac Soc 2021; 18:1-11. [PMID: 33385224 PMCID: PMC7780974 DOI: 10.1513/annalsats.202010-1318st] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
A workshop "Electronic Health Records and Pulmonary Function Data: Developing an Interoperability Roadmap" was held at the American Thoracic Society 2019 International Conference. "Interoperability" is defined as is the ability of different information-technology systems and software applications to directly communicate, exchange data, and use the information that has been exchanged. At present, pulmonary function test (PFT) equipment is not required to be interoperable with other clinical data systems, including electronic health records (EHRs). For this workshop, we assembled a diverse group of experts and stakeholders, including representatives from patient-advocacy groups, adult and pediatric general and pulmonary medicine, informatics, government and healthcare organizations, pulmonary function laboratories, and EHR and PFT equipment and software companies. The participants were tasked with two overarching Aobjectives: 1) identifying the key obstacles to achieving interoperability of PFT systems and the EHR and 2) recommending solutions to the identified obstacles. Successful interoperability of PFT data with the EHR impacts the full scope of individual patient health and clinical care, population health, and research. The existing EHR-PFT device platforms lack sufficient data standardization to promote interoperability. Cost is a major obstacle to PFT-EHR interoperability, and incentives are insufficient to justify the needed investment. The current vendor-EHR system lacks sufficient flexibility, thereby impeding interoperability. To advance the goal of achieving interoperability, next steps include identifying and standardizing priority PFT data elements. To increase the motivation of stakeholders to invest in this effort, it is necessary to demonstrate the benefits of PFT interoperability across patient care and population health.
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Bryant KB, Moran AE, Kazi DS, Zhang Y, Penko J, Ruiz-Negrón N, Coxson P, Blyler CA, Lynch K, Cohen LP, Tajeu GS, Fontil V, Moy NB, Ebinger JE, Rader F, Bibbins-Domingo K, Bellows BK. Cost-Effectiveness of Hypertension Treatment by Pharmacists in Black Barbershops. Circulation 2021; 143:2384-2394. [PMID: 33855861 PMCID: PMC8206005 DOI: 10.1161/circulationaha.120.051683] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Accepted: 04/02/2021] [Indexed: 12/14/2022]
Abstract
BACKGROUND In LABBPS (Los Angeles Barbershop Blood Pressure Study), pharmacist-led hypertension care in Los Angeles County Black-owned barbershops significantly improved blood pressure control in non-Hispanic Black men with uncontrolled hypertension at baseline. In this analysis, 10-year health outcomes and health care costs of 1 year of the LABBPS intervention versus control are projected. METHODS A discrete event simulation of hypertension care processes projected blood pressure, medication-related adverse events, fatal and nonfatal cardiovascular disease events, and noncardiovascular disease death in LABBPS participants. Program costs, total direct health care costs (2019 US dollars), and quality-adjusted life-years (QALYs) were estimated for the LABBPS intervention and control arms from a health care sector perspective over a 10-year horizon. Future costs and QALYs were discounted 3% annually. High and intermediate cost-effectiveness thresholds were defined as <$50 000 and <$150 000 per QALY gained, respectively. RESULTS At 10 years, the intervention was projected to cost an average of $2356 (95% uncertainty interval, -$264 to $4611) more per participant than the control arm and gain 0.06 (95% uncertainty interval, 0.01-0.10) QALYs. The LABBPS intervention was highly cost-effective, with a mean cost of $42 717 per QALY gained (58% probability of being highly and 96% of being at least intermediately cost-effective). Exclusive use of generic drugs improved the cost-effectiveness to $17 162 per QALY gained. The LABBPS intervention would be only intermediately cost-effective if pharmacists were less likely to intensify antihypertensive medications when systolic blood pressure was ≥150 mm Hg or if pharmacist weekly time driving to barbershops increased. CONCLUSIONS Hypertension care delivered by clinical pharmacists in Black barbershops is a highly cost-effective way to improve blood pressure control in Black men.
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Affiliation(s)
- Kelsey B. Bryant
- Columbia University, Vagelos College of Physicians and Surgeons, New York, NY, USA
| | - Andrew E. Moran
- Columbia University, Vagelos College of Physicians and Surgeons, New York, NY, USA
| | - Dhruv S. Kazi
- Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Beth Israel Deaconess Medical Center, Boston, MA
- Harvard Medical School, Boston, MA
| | - Yiyi Zhang
- Columbia University, Vagelos College of Physicians and Surgeons, New York, NY, USA
| | - Joanne Penko
- University of California San Francisco, School of Medicine, San Francisco, CA, USA
| | | | - Pamela Coxson
- University of California San Francisco, School of Medicine, San Francisco, CA, USA
| | - Ciantel A. Blyler
- Smidt Heart Institute, Cedars-Sinai Medical Center, Smidt Heart Institute, Los Angeles, CA, USA
| | - Kathleen Lynch
- Providence Saint John’s Health Center, John Wayne Cancer Institute, Santa Monica, CA, USA
| | - Laura P. Cohen
- Columbia University, Vagelos College of Physicians and Surgeons, New York, NY, USA
| | - Gabriel S. Tajeu
- Temple University, College of Public Health, Philadelphia, PA, USA
| | - Valy Fontil
- University of California San Francisco, School of Medicine, San Francisco, CA, USA
| | - Norma B. Moy
- Smidt Heart Institute, Cedars-Sinai Medical Center, Smidt Heart Institute, Los Angeles, CA, USA
| | - Joseph E. Ebinger
- Smidt Heart Institute, Cedars-Sinai Medical Center, Smidt Heart Institute, Los Angeles, CA, USA
| | - Florian Rader
- Smidt Heart Institute, Cedars-Sinai Medical Center, Smidt Heart Institute, Los Angeles, CA, USA
| | | | - Brandon K. Bellows
- Columbia University, Vagelos College of Physicians and Surgeons, New York, NY, USA
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Bellows BK, Zhang Y, Zhang Z, Lloyd-Jones DM, Bress AP, King JB, Kolm P, Cushman WC, Johnson KC, Tamariz L, Oelsner EC, Shea S, Newman AB, Ives DG, Couper D, Moran AE, Weintraub WS. Estimating Systolic Blood Pressure Intervention Trial Participant Posttrial Survival Using Pooled Epidemiologic Cohort Data. J Am Heart Assoc 2021; 10:e020361. [PMID: 33955229 PMCID: PMC8200698 DOI: 10.1161/jaha.120.020361] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Background Intensive systolic blood pressure treatment (<120 mm Hg) in SPRINT (Systolic Blood Pressure Intervention Trial) improved survival compared with standard treatment (<140 mm Hg) over a median follow‐up of 3.3 years. We projected life expectancy after observed follow‐up in SPRINT using SPRINT‐eligible participants in the NHLBI‐PCS (National Heart, Lung, and Blood Institute Pooled Cohorts Study). Methods and Results We used propensity scores to weight SPRINT‐eligible NHLBI‐PCS participants to resemble SPRINT participants. In SPRINT participants, we estimated in‐trial survival (<4 years) using a time‐based flexible parametric survival model. In SPRINT‐eligible NHLBI‐PCS participants, we estimated posttrial survival (≥4 years) using an age‐based flexible parametric survival model and applied the formula to SPRINT participants to predict posttrial survival. We projected overall life expectancy for each SPRINT participant and compared it to parametric regression (eg, Gompertz) projections based on SPRINT data alone. We included 8584 SPRINT and 10 593 SPRINT‐eligible NHLBI‐PCS participants. After propensity weighting, mean (SD) age was 67.9 (9.4) and 68.2 (8.8) years, and 35.5% and 37.6% were women in SPRINT and NHLBI‐PCS, respectively. Using the NHLBI‐PCS–based method, projected mean life expectancy from randomization was 21.0 (7.4) years with intensive and 19.1 (7.2) years with standard treatment. Using the Gompertz regression, life expectancy was 11.2 (2.3) years with intensive and 10.5 (2.2) years with standard treatment. Conclusions Combining SPRINT and NHLBI‐PCS observed data likely offers a more realistic estimate of life expectancy than parametrically extrapolating SPRINT data alone. These results offer insight into the potential long‐term effectiveness of intensive SBP goals.
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Affiliation(s)
| | | | | | | | | | - Jordan B King
- University of Utah Salt Lake City UT.,Kaiser Permanente Colorado Aurora CO
| | - Paul Kolm
- MedStar Washington Hospital Center Washington DC
| | - William C Cushman
- Veterans Affairs Medical Center Memphis TN.,University of Tennessee Health Science Center Memphis TN
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Cohen LP, Vittinghoff E, Pletcher MJ, Allen NB, Shah SJ, Wilkins JT, Chang PP, Ndumele CE, Newman AB, Ives D, Maurer MS, Oelsner EC, Moran AE, Zhang Y. Association of Midlife Cardiovascular Risk Factors With the Risk of Heart Failure Subtypes Later in Life. J Card Fail 2021; 27:435-444. [PMID: 33238139 PMCID: PMC7987686 DOI: 10.1016/j.cardfail.2020.11.008] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Revised: 11/12/2020] [Accepted: 11/16/2020] [Indexed: 12/22/2022]
Abstract
BACKGROUND Independent associations between cardiovascular risk factor exposures during midlife and later life development of heart failure (HF) with preserved ejection fraction (HFpEF) versus reduced EF (HFrEF) have not been previously studied. METHODS We pooled data from 4 US cohort studies (Atherosclerosis Risk in Communities, Cardiovascular Health, Health , Aging and Body Composition, and Multi-Ethnic Study of Atherosclerosis) and imputed annual risk factor trajectories for body mass index, systolic and diastolic blood pressure, low-density lipoprotein and high-density lipoprotein cholesterol, and glucose starting from age 40 years. Time-weighted average exposures to each risk factor during midlife and later life were calculated and analyzed for associations with the development of HFpEF or HFrEF. RESULTS A total of 23,861 participants were included (mean age at first in-person visit, 61.8 ±1 0.2 years; 56.6% female). During a median follow-up of 12 years, there were 3666 incident HF events, of which 51% had EF measured, including 934 with HFpEF and 739 with HFrEF. A high midlife systolic blood pressure and low midlife high-density lipoprotein cholesterol were associated with HFrEF, and a high midlife body mass index, systolic blood pressure, pulse pressure, and glucose were associated with HFpEF. After adjusting for later life exposures, only midlife pulse pressure remained independently associated with HFpEF. CONCLUSIONS Midlife exposure to cardiovascular risk factors are differentially associated with HFrEF and HFpEF later in life. Having a higher pulse pressure during midlife is associated with a greater risk for HFpEF but not HFrEF, independent of later life exposures.
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Affiliation(s)
- Laura P Cohen
- Columbia University Irving Medical Center, Columbia University, New York, New York
| | - Eric Vittinghoff
- University of California, San Francisco, San Francisco, California
| | - Mark J Pletcher
- University of California, San Francisco, San Francisco, California
| | - Norrina B Allen
- Northwestern University Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Sanjiv J Shah
- Northwestern University Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - John T Wilkins
- Northwestern University Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Patricia P Chang
- University of North Carolina School of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Chiadi E Ndumele
- Johns Hopkins University Medical Center, Johns Hopkins University, Baltimore, Maryland
| | - Anne B Newman
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Diane Ives
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Mathew S Maurer
- Columbia University Irving Medical Center, Columbia University, New York, New York
| | - Elizabeth C Oelsner
- Columbia University Irving Medical Center, Columbia University, New York, New York
| | - Andrew E Moran
- Columbia University Irving Medical Center, Columbia University, New York, New York
| | - Yiyi Zhang
- Columbia University Irving Medical Center, Columbia University, New York, New York.
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Oelsner EC, Allen NB, Ali T, Anugu P, Andrews H, Asaro A, Balte PP, Barr RG, Bertoni AG, Bon J, Boyle R, Chang AA, Chen G, Cole SA, Coresh J, Cornell E, Correa A, Couper D, Cushman M, Demmer RT, Elkind MSV, Folsom AR, Fretts AM, Gabriel KP, Gallo L, Gutierrez J, Han MK, Henderson JM, Howard VJ, Isasi CR, Jacobs DR, Judd SE, Mukaz DK, Kanaya AM, Kandula NR, Kaplan R, Krishnaswamy A, Kinney GL, Kucharska-Newton A, Lee JS, Lewis CE, Levine DA, Levitan EB, Levy B, Make B, Malloy K, Manly JJ, Meyer KA, Min YI, Moll M, Moore WC, Mauger D, Ortega VE, Palta P, Parker MM, Phipatanakul W, Post W, Psaty BM, Regan EA, Ring K, Roger VL, Rotter JI, Rundek T, Sacco RL, Schembri M, Schwartz DA, Seshadri S, Shikany JM, Sims M, Hinckley Stukovsky KD, Talavera GA, Tracy RP, Umans JG, Vasan RS, Watson K, Wenzel SE, Winters K, Woodruff PG, Xanthakis V, Zhang Y, Zhang Y. Collaborative Cohort of Cohorts for COVID-19 Research (C4R) Study: Study Design. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2021:2021.03.19.21253986. [PMID: 33758891 PMCID: PMC7987050 DOI: 10.1101/2021.03.19.21253986] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
The Collaborative Cohort of Cohorts for COVID-19 Research (C4R) is a national prospective study of adults at risk for coronavirus disease 2019 (COVID-19) comprising 14 established United States (US) prospective cohort studies. For decades, C4R cohorts have collected extensive data on clinical and subclinical diseases and their risk factors, including behavior, cognition, biomarkers, and social determinants of health. C4R will link this pre-COVID phenotyping to information on SARS-CoV-2 infection and acute and post-acute COVID-related illness. C4R is largely population-based, has an age range of 18-108 years, and broadly reflects the racial, ethnic, socioeconomic, and geographic diversity of the US. C4R is ascertaining severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and COVID-19 illness using standardized questionnaires, ascertainment of COVID-related hospitalizations and deaths, and a SARS-CoV-2 serosurvey via dried blood spots. Master protocols leverage existing robust retention rates for telephone and in-person examinations, and high-quality events surveillance. Extensive pre-pandemic data minimize referral, survival, and recall bias. Data are being harmonized with research-quality phenotyping unmatched by clinical and survey-based studies; these will be pooled and shared widely to expedite collaboration and scientific findings. This unique resource will allow evaluation of risk and resilience factors for COVID-19 severity and outcomes, including post-acute sequelae, and assessment of the social and behavioral impact of the pandemic on long-term trajectories of health and aging.
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Perret JL, Walters EH. Cigarette smoking and lung function decline beyond quitting. ANNALS OF TRANSLATIONAL MEDICINE 2020; 8:1531. [PMID: 33313276 PMCID: PMC7729356 DOI: 10.21037/atm-20-3667] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Jennifer L Perret
- Allergy and Lung Health Unit, Melbourne School of Population and Global Health, The University of Melbourne, Victoria, Australia.,Department of Respiratory and Sleep Medicine, Austin Hospital, Melbourne, Australia.,Institute for Breathing and Sleep (IBAS), Melbourne, Australia
| | - E Haydn Walters
- Allergy and Lung Health Unit, Melbourne School of Population and Global Health, The University of Melbourne, Victoria, Australia
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38
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Zhao X, Qiao D, Yang C, Kasela S, Kim W, Ma Y, Shrine N, Batini C, Sofer T, Taliun SAG, Sakornsakolpat P, Balte PP, Prokopenko D, Yu B, Lange LA, Dupuis J, Cade BE, Lee J, Gharib SA, Daya M, Laurie CA, Ruczinski I, Cupples LA, Loehr LR, Bartz TM, Morrison AC, Psaty BM, Vasan RS, Wilson JG, Taylor KD, Durda P, Johnson WC, Cornell E, Guo X, Liu Y, Tracy RP, Ardlie KG, Aguet F, VanDenBerg DJ, Papanicolaou GJ, Rotter JI, Barnes KC, Jain D, Nickerson DA, Muzny DM, Metcalf GA, Doddapaneni H, Dugan-Perez S, Gupta N, Gabriel S, Rich SS, O'Connor GT, Redline S, Reed RM, Laurie CC, Daviglus ML, Preudhomme LK, Burkart KM, Kaplan RC, Wain LV, Tobin MD, London SJ, Lappalainen T, Oelsner EC, Abecasis GR, Silverman EK, Barr RG, Cho MH, Manichaikul A. Whole genome sequence analysis of pulmonary function and COPD in 19,996 multi-ethnic participants. Nat Commun 2020; 11:5182. [PMID: 33057025 PMCID: PMC7598941 DOI: 10.1038/s41467-020-18334-7] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Accepted: 08/19/2020] [Indexed: 12/14/2022] Open
Abstract
Chronic obstructive pulmonary disease (COPD), diagnosed by reduced lung function, is a leading cause of morbidity and mortality. We performed whole genome sequence (WGS) analysis of lung function and COPD in a multi-ethnic sample of 11,497 participants from population- and family-based studies, and 8499 individuals from COPD-enriched studies in the NHLBI Trans-Omics for Precision Medicine (TOPMed) Program. We identify at genome-wide significance 10 known GWAS loci and 22 distinct, previously unreported loci, including two common variant signals from stratified analysis of African Americans. Four novel common variants within the regions of PIAS1, RGN (two variants) and FTO show evidence of replication in the UK Biobank (European ancestry n ~ 320,000), while colocalization analyses leveraging multi-omic data from GTEx and TOPMed identify potential molecular mechanisms underlying four of the 22 novel loci. Our study demonstrates the value of performing WGS analyses and multi-omic follow-up in cohorts of diverse ancestry.
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Affiliation(s)
- Xutong Zhao
- Center for Statistical Genetics, and Department of Biostatistics, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Dandi Qiao
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Chaojie Yang
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, 22908, USA
| | - Silva Kasela
- New York Genome Center, New York, NY, 10013, USA
- Department of Systems Biology, Columbia University, New York, NY, 10032, USA
| | - Wonji Kim
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Yanlin Ma
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, 22908, USA
| | - Nick Shrine
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, LE1 7RH, United Kingdom
| | - Chiara Batini
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, LE1 7RH, United Kingdom
| | - Tamar Sofer
- Department of Medicine, Harvard Medical School, Boston, MA, 02115, USA
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Sarah A Gagliano Taliun
- Center for Statistical Genetics, and Department of Biostatistics, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Phuwanat Sakornsakolpat
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Pallavi P Balte
- Department of Medicine, Columbia University Medical Center, New York, NY, 10032, USA
| | - Dmitry Prokopenko
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Bing Yu
- Department of Epidemiology, Human Genetics & Environmental Sciences, UTHealth School of Public Health, Houston, TX, 77030, USA
| | - Leslie A Lange
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado School of Medicine Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
| | - Brian E Cade
- Department of Medicine, Harvard Medical School, Boston, MA, 02115, USA
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Jiwon Lee
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Sina A Gharib
- Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, WA, 98109, USA
| | - Michelle Daya
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado School of Medicine Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Cecelia A Laurie
- Department of Biostatistics, University of Washington, Seattle, WA, 98195, USA
| | - Ingo Ruczinski
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA
| | - L Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
- Boston University and the National Heart Lung and Blood Institute's Framingham Heart Study, Framingham, MA, 01702, USA
| | - Laura R Loehr
- Department of Medicine, UNC School of Medicine, Chapel Hill, NC, 27599, USA
| | - Traci M Bartz
- Department of Biostatistics, University of Washington, Seattle, WA, 98195, USA
| | - Alanna C Morrison
- Human Genetics Center, 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
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Services, University of Washington, Seattle, WA, 98101, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, 98101, USA
| | - Ramachandran S Vasan
- Boston University and the National Heart Lung and Blood Institute's Framingham Heart Study, Framingham, MA, 01702, USA
- Department of Preventive Medicine and Epidemiology, Boston University School of Medicine and Public Health, Boston, MA, 02118, USA
| | - James G Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS, 39216, USA
| | - Kent D Taylor
- The Institute for Translational Genomics and Population Sciences, The Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Peter Durda
- Department of Pathology and Laboratory Medicine, Robert Larner, M.D. College of Medicine, University of Vermont, Burlington, VT, 05405, USA
| | - W Craig Johnson
- Department of Biostatistics, University of Washington, Seattle, WA, 98195, USA
| | - Elaine Cornell
- Department of Pathology and Laboratory Medicine, Robert Larner, M.D. College of Medicine, University of Vermont, Burlington, VT, 05405, USA
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, The Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Yongmei Liu
- Department of Medicine, Division of Cardiology, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, 27701, USA
| | - Russell P Tracy
- Department of Pathology and Laboratory Medicine, Robert Larner, M.D. College of Medicine, University of Vermont, Burlington, VT, 05405, USA
| | | | - François Aguet
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - David J VanDenBerg
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, 90033, USA
| | - George J Papanicolaou
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, The Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Kathleen C Barnes
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado School of Medicine Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Deepti Jain
- Department of Biostatistics, University of Washington, Seattle, WA, 98195, USA
| | - Deborah A Nickerson
- Department of Genome Sciences, University of Washington, Seattle, WA, 98195, USA
| | - Donna M Muzny
- The Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Ginger A Metcalf
- The Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, 77030, USA
| | | | - Shannon Dugan-Perez
- The Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Namrata Gupta
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Stacey Gabriel
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, 22908, USA
| | - George T O'Connor
- Boston University School Of Medicine, Pulmonary Center, Boston, MA, 02118, USA
| | - Susan Redline
- Department of Medicine, Harvard Medical School, Boston, MA, 02115, USA
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, 02115, USA
- Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, 02215, USA
| | - Robert M Reed
- Division of Pulmonary and Critical Care Medicine, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
| | - Cathy C Laurie
- Department of Biostatistics, University of Washington, Seattle, WA, 98195, USA
| | - Martha L Daviglus
- Institute for Minority Health Research, University of Illinois at Chicago, Chicago, IL, 60612, USA
| | | | - Kristin M Burkart
- Department of Medicine, Columbia University Medical Center, New York, NY, 10032, USA
| | - Robert C Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, NY, 10461, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
| | - Louise V Wain
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, LE1 7RH, United Kingdom
- National Institute for Health Research, Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, LE3 9QP, UK
| | - Martin D Tobin
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, LE1 7RH, United Kingdom
- National Institute for Health Research, Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, LE3 9QP, UK
| | - Stephanie J London
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Durham, NC, 27709, USA
| | - Tuuli Lappalainen
- New York Genome Center, New York, NY, 10013, USA
- Department of Systems Biology, Columbia University, New York, NY, 10032, USA
| | - Elizabeth C Oelsner
- Department of Medicine, Columbia University Medical Center, New York, NY, 10032, USA
| | - Goncalo R Abecasis
- Center for Statistical Genetics, and Department of Biostatistics, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Edwin K Silverman
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - R Graham Barr
- Department of Medicine, Columbia University Medical Center, New York, NY, 10032, USA
| | - Michael H Cho
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA.
| | - Ani Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, 22908, USA.
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Cornelius T, Schwartz JE, Balte P, Bhatt SP, Cassano PA, Currow D, Jacobs DR, Johnson M, Kalhan R, Kronmal R, Loehr L, O'Connor GT, Smith B, White WB, Yende S, Oelsner EC. A Dyadic Growth Modeling Approach for Examining Associations Between Weight Gain and Lung Function Decline. Am J Epidemiol 2020; 189:1173-1184. [PMID: 32286615 DOI: 10.1093/aje/kwaa059] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Revised: 04/07/2020] [Accepted: 04/10/2020] [Indexed: 12/30/2022] Open
Abstract
The relationship between body weight and lung function is complex. Using a dyadic multilevel linear modeling approach, treating body mass index (BMI; weight (kg)/height (m)2) and lung function as paired, within-person outcomes, we tested the hypothesis that persons with more rapid increase in BMI exhibit more rapid decline in lung function, as measured by forced expiratory volume in 1 second (FEV1), forced vital capacity (FVC), and their ratio (FEV1:FVC). Models included random intercepts and slopes and adjusted for sociodemographic and smoking-related factors. A sample of 9,115 adults with paired measurements of BMI and lung function taken at ≥3 visits were selected from a pooled set of 5 US population-based cohort studies (1983-2018; mean age at baseline = 46 years; median follow-up, 19 years). At age 46 years, average annual rates of change in BMI, FEV1, FVC, and FEV1:FVC ratio were 0.22 kg/m2/year, -25.50 mL/year, -21.99 mL/year, and -0.24%/year, respectively. Persons with steeper BMI increases had faster declines in FEV1 (r = -0.16) and FVC (r = -0.26) and slower declines in FEV1:FVC ratio (r = 0.11) (all P values < 0.0001). Results were similar in subgroup analyses. Residual correlations were negative (P < 0.0001), suggesting additional interdependence between BMI and lung function. Results show that greater rates of weight gain are associated with greater rates of lung function loss.
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Balte PP, Chaves PHM, Couper DJ, Enright P, Jacobs DR, Kalhan R, Kronmal RA, Loehr LR, London SJ, Newman AB, O'Connor GT, Schwartz JE, Smith BM, Smith LJ, White WB, Yende S, Oelsner EC. Association of Nonobstructive Chronic Bronchitis With Respiratory Health Outcomes in Adults. JAMA Intern Med 2020; 180:676-686. [PMID: 32119036 PMCID: PMC7052787 DOI: 10.1001/jamainternmed.2020.0104] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
IMPORTANCE Chronic bronchitis has been associated with cigarette smoking as well as with e-cigarette use among young adults, but the association of chronic bronchitis in persons without airflow obstruction or clinical asthma, described as nonobstructive chronic bronchitis, with respiratory health outcomes remains uncertain. OBJECTIVE To assess whether nonobstructive chronic bronchitis is associated with adverse respiratory health outcomes in adult ever smokers and never smokers. DESIGN, SETTING, AND PARTICIPANTS This prospective cohort study included 22 325 adults without initial airflow obstruction (defined as the ratio of forced expiratory volume in the first second [FEV1] to forced vital capacity [FVC] of <0.70) or clinical asthma at baseline. The National Heart, Lung, and Blood Institute (NHLBI) Pooled Cohorts Study harmonized and pooled data from 9 US general population-based cohorts. Thus present study is based on data from 5 of these cohorts. Participants were enrolled from August 1971 through May 2007 and were followed up through December 2018. EXPOSURES Nonobstructive chronic bronchitis was defined by questionnaire at baseline as both cough and phlegm for at least 3 months for at least 2 consecutive years. MAIN OUTCOMES AND MEASURES Lung function was measured by prebronchodilator spirometry. Hospitalizations and deaths due to chronic lower respiratory disease and respiratory disease-related mortality were defined by events adjudication and administrative criteria. Models were stratified by smoking status and adjusted for anthropometric, sociodemographic, and smoking-related factors. The comparison group was participants without nonobstructive chronic bronchitis. RESULTS Among 22 325 adults included in the analysis, mean (SD) age was 53.0 (16.3) years (range, 18.0-95.0 years), 58.2% were female, 65.9% were non-Hispanic white, and 49.6% were ever smokers. Among 11 082 ever smokers with 99 869 person-years of follow-up, participants with nonobstructive chronic bronchitis (300 [2.7%]) had accelerated decreases in FEV1 (4.1 mL/y; 95% CI, 2.1-6.1 mL/y) and FVC (4.7 mL/y; 95% CI, 2.2-7.2 mL/y), increased risks of chronic lower respiratory disease-related hospitalization or mortality (hazard ratio [HR], 2.2; 95% CI, 1.7-2.7), and greater respiratory disease-related (HR, 2.0; 95% CI, 1.1-3.8) and all-cause mortality (HR, 1.5; 95% CI, 1.3-1.8) compared with ever smokers without nonobstructive chronic bronchitis. Among 11 243 never smokers with 120 004 person-years of follow-up, participants with nonobstructive chronic bronchitis (151 [1.3%]) had greater rates of chronic lower respiratory disease-related hospitalization or mortality (HR, 3.1; 95% CI, 2.1-4.5) compared with never smokers without nonobstructive chronic bronchitis. Nonobstructive chronic bronchitis was not associated with FEV1:FVC decline or incident airflow obstruction. The presence of at least 1 of the component symptoms of nonobstructive chronic bronchitis (ie, chronic cough or phlegm), which was common in both ever smokers (11.0%) and never smokers (6.7%), was associated with adverse respiratory health outcomes. CONCLUSIONS AND RELEVANCE The findings suggest that nonobstructive chronic bronchitis is associated with adverse respiratory health outcomes, particularly in ever smokers, and may be a high-risk phenotype suitable for risk stratification and targeted therapies.
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Affiliation(s)
- Pallavi P Balte
- Department of Medicine, Columbia University Medical Center, New York, New York
| | - Paulo H M Chaves
- Benjamin Leon Jr Family Center for Geriatric Research and Education, Florida International University, Miami, Florida
| | - David J Couper
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill
| | - Paul Enright
- Department of Medicine, University of Arizona, Tucson, Arizona
| | - David R Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis
| | - Ravi Kalhan
- Division of Pulmonary and Critical Care Medicine, Northwestern University, Chicago, Illinois
| | - Richard A Kronmal
- Department of Biostatistics, School of Public Health, University of Washington, Seattle
| | - Laura R Loehr
- Division of General Medicine and Clinical Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill
| | - Stephanie J London
- Epidemiology Branch, Genetics, Environment, and Respiratory Disease Group, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina
| | - Anne B Newman
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | | | - Joseph E Schwartz
- Department of Medicine, Columbia University Medical Center, New York, New York
| | - Benjamin M Smith
- Department of Medicine, McGill University Health Centre Research Institute, Montreal, Quebec, Canada
| | - Lewis J Smith
- Division of Pulmonary and Critical Care Medicine, Northwestern University, Chicago, Illinois
| | - Wendy B White
- Jackson Heart Study Undergraduate Training and Education Center, Tougaloo College, Tougaloo, Mississippi
| | - Sachin Yende
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Elizabeth C Oelsner
- Department of Medicine, Columbia University Medical Center, New York, New York
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Woodruff PG, Lazarus SC. Long-term Sequelae of Nonobstructive Chronic Bronchitis-Is Airflow Obstruction Important? JAMA Intern Med 2020; 180:686-687. [PMID: 32119027 DOI: 10.1001/jamainternmed.2019.7280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Affiliation(s)
- Prescott G Woodruff
- The Cardiovascular Research Institute, University of California San Francisco, San Francisco.,Division of Pulmonary, Critical Care, Sleep, and Allergy, Department of Medicine, University of California San Francisco, San Francisco
| | - Stephen C Lazarus
- The Cardiovascular Research Institute, University of California San Francisco, San Francisco.,Division of Pulmonary, Critical Care, Sleep, and Allergy, Department of Medicine, University of California San Francisco, San Francisco
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[Lung function in the German National Cohort: methods and initial results]. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2020; 63:322-331. [PMID: 32078705 DOI: 10.1007/s00103-020-03102-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
BACKGROUND A nationwide assessment of the respiratory status on the basis of standardized lung function measurements has so far not been available in Germany. The present work describes the lung function tests in the German National Cohort (GNC) and presents initial results based on the GNC Midterm Baseline Dataset. MATERIAL AND METHODS The assessment of lung function in the GNC comprised spirometry (level 1) and the determination of exhaled nitric oxide (FeNO, level 2). Our quality assurance concept included regular training of lung function test procedures at various GNC sites, interim evaluations of test quality, as well as regular calibration/measurement checks of test equipment. For spirometry, we established a stepwise procedure for offline quality control based on raw flow volume curves. RESULTS In the present dataset (n = 101,734), spirometry was available for 86,893 study participants and FeNO was available for 15,228 participants. The average (±SD) FEV1 Z score (according to GLI 2012) was -0.321 ± 1.047, the FVC Z score was -0.153 ± 0.941, and the FEV1/FVC Z score was -0.337 ± 0.901. The difference in FEV1/FVC between current smokers and never-smokers increased with age. The average FeNO was 14.2 ÷ 2.0 ppb. Current smoking reduced FeNO levels by 43%, whereas respiratory allergy increased FeNO levels by 16% in nonsmokers. DISCUSSION The results of spirometry and the FeNO measurements are in the expected range with regard to their distributions and correlates. The GNC provides a valuable basis for future investigations of respiratory health and its determinants as well as research into the prevention of respiratory diseases in Germany.
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Brown LK, Miller A. Spirometric indices of early airflow impairment in individuals at risk of developing COPD: Spirometry beyond FEV 1/FVC. Respir Med 2020; 176:105921. [PMID: 33589144 DOI: 10.1016/j.rmed.2020.105921] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2020] [Revised: 02/21/2020] [Accepted: 02/28/2020] [Indexed: 10/24/2022]
Affiliation(s)
- Lee K Brown
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, NM, USA; Program in Sleep Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, USA; Department of Electrical and Computer Engineering, University of New Mexico School of Engineering, Albuquerque, NM, USA.
| | - Albert Miller
- Division of Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY, USA; Respiratory Institute-Mount Sinai Beth Israel Medical Center-National Jewish, New York City, NY, USA; Center for the Biology of Natural Systems, Queens College, City University of New York, Queens, NY, USA
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Oelsner EC, Balte PP, Bhatt SP, Cassano PA, Couper D, Folsom AR, Freedman ND, Jacobs DR, Kalhan R, Mathew AR, Kronmal RA, Loehr LR, London SJ, Newman AB, O'Connor GT, Schwartz JE, Smith LJ, White WB, Yende S. Lung function decline in former smokers and low-intensity current smokers: a secondary data analysis of the NHLBI Pooled Cohorts Study. THE LANCET. RESPIRATORY MEDICINE 2020; 8:34-44. [PMID: 31606435 PMCID: PMC7261004 DOI: 10.1016/s2213-2600(19)30276-0] [Citation(s) in RCA: 89] [Impact Index Per Article: 17.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/25/2019] [Revised: 06/27/2019] [Accepted: 07/09/2019] [Indexed: 12/13/2022]
Abstract
BACKGROUND Former smokers now outnumber current smokers in many developed countries, and current smokers are smoking fewer cigarettes per day. Some data suggest that lung function decline normalises with smoking cessation; however, mechanistic studies suggest that lung function decline could continue. We hypothesised that former smokers and low-intensity current smokers have accelerated lung function decline compared with never-smokers, including among those without prevalent lung disease. METHODS We used data on six US population-based cohorts included in the NHLBI Pooled Cohort Study. We restricted the sample to participants with valid spirometry at two or more exams. Two cohorts recruited younger adults (≥17 years), two recruited middle-aged and older adults (≥45 years), and two recruited only elderly adults (≥65 years) with examinations done between 1983 and 2014. FEV1 decline in sustained former smokers and current smokers was compared to that of never-smokers by use of mixed models adjusted for sociodemographic and anthropometric factors. Differential FEV1 decline was also evaluated according to duration of smoking cessation and cumulative (number of pack-years) and current (number of cigarettes per day) cigarette consumption. FINDINGS 25 352 participants (ages 17-93 years) completed 70 228 valid spirometry exams. Over a median follow-up of 7 years (IQR 3-20), FEV1 decline at the median age (57 years) was 31·01 mL per year (95% CI 30·66-31·37) in sustained never-smokers, 34·97 mL per year (34·36-35·57) in former smokers, and 39·92 mL per year (38·92-40·92) in current smokers. With adjustment, former smokers showed an accelerated FEV1 decline of 1·82 mL per year (95% CI 1·24-2·40) compared to never-smokers, which was approximately 20% of the effect estimate for current smokers (9·21 mL per year; 95% CI 8·35-10·08). Compared to never-smokers, accelerated FEV1 decline was observed in former smokers for decades after smoking cessation and in current smokers with low cumulative cigarette consumption (<10 pack-years). With respect to current cigarette consumption, the effect estimate for FEV1 decline in current smokers consuming less than five cigarettes per day (7·65 mL per year; 95% CI 6·21-9·09) was 68% of that in current smokers consuming 30 or more cigarettes per day (11·24 mL per year; 9·86-12·62), and around five times greater than in former smokers (1·57 mL per year; 1·00-2·14). Among participants without prevalent lung disease, associations were attenuated but were consistent with the main results. INTERPRETATION Former smokers and low-intensity current smokers have accelerated lung function decline compared with never-smokers. These results suggest that all levels of smoking exposure are likely to be associated with lasting and progressive lung damage. FUNDING National Institutes of Health, National Heart Lung and Blood Institute, and US Environmental Protection Agency.
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Affiliation(s)
| | | | - Surya P Bhatt
- University of Alabama at Birmingham, Birmingham, AL, USA
| | | | - David Couper
- University of North Carolina, Chapel Hill, NC, USA
| | | | - Neal D Freedman
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, MD, USA
| | | | | | | | | | | | - Stephanie J London
- National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
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Mannino DM. Fifty Years of Progress in the Epidemiology of Chronic Obstructive Pulmonary Disease: A Review of National Heart, Lung, and Blood Institute-Sponsored Studies. CHRONIC OBSTRUCTIVE PULMONARY DISEASES (MIAMI, FLA.) 2019; 6:350-358. [PMID: 31647857 PMCID: PMC7006703 DOI: 10.15326/jcopdf.6.4.2019.0145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 09/13/2019] [Indexed: 06/10/2023]
Abstract
Our understanding of the epidemiology of chronic obstructive pulmonary disease (COPD), including such metrics as incidence, prevalence, risk factors, outcome, and comorbidities has increased greatly over the past 50 years. Much of this increase is attributable to National Heart Blood and Lung Institute (NHLBI)-sponsored studies. This paper will review 13 of these key studies and their contribution to our understanding of COPD in the last half century.
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Affiliation(s)
- David M. Mannino
- Department of Preventive Medicine and Environmental Health, University of Kentucky College of Public Health, Lexington
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46
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Kohli-Lynch CN, Bellows BK, Thanassoulis G, Zhang Y, Pletcher MJ, Vittinghoff E, Pencina MJ, Kazi D, Sniderman AD, Moran AE. Cost-effectiveness of Low-density Lipoprotein Cholesterol Level-Guided Statin Treatment in Patients With Borderline Cardiovascular Risk. JAMA Cardiol 2019; 4:969-977. [PMID: 31461121 PMCID: PMC6714024 DOI: 10.1001/jamacardio.2019.2851] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2019] [Accepted: 06/27/2019] [Indexed: 01/09/2023]
Abstract
Importance American College of Cardiology/American Heart Association cholesterol guidelines prioritize primary prevention statin therapy based on 10-year absolute risk (AR10) of atherosclerotic cardiovascular disease (ASCVD). However, given the same AR10, patients with higher levels of low-density lipoprotein cholesterol (LDL-C) experience greater absolute risk reduction from statin therapy. Objectives To estimate the cost-effectiveness of expanding preventive statin treatment eligibility from standard care to patients at borderline risk (AR10, 5.0%-7.4%) for ASCVD and with high levels of LDL-C and to estimate cost-effectiveness of statin treatment across ranges of age, sex, AR10, and LDL-C levels. Design, Setting, and Participants This study evaluated 100 simulated cohorts, each including 1 million ASCVD-free survey respondents (50% men and 50% women) aged 40 years at baseline. Cohorts were created by probabilistic sampling of the 1999-2014 US National Health and Nutrition Examination Surveys from the perspective of the US health care sector. The CVD Policy Model microsimulation version projected lifetime health and cost outcomes. Probability of first-ever coronary heart disease or stroke event was estimated by analysis of 6 pooled US cohort studies and recalibrated to match contemporary event rates. Other model variables were derived from national surveys, meta-analyses, and published literature. Data were analyzed from May 15, 2018, through June 10, 2019. Exposures Four statin treatment strategies were compared: (1) treat all patients with AR10 of at least 7.5%, diabetes, or LDL-C of at least 190 mg/dL (standard care); (2) add treatment for borderline risk and LDL-C levels of 160 to 189 mg/dL; (3) add treatment for borderline risk and LDL-C levels of 130 to 159 mg/dL; and (4) add treatment for remainder of patients with AR10 of at least 5.0%. Statin treatment was also compared with no statin treatment in age, sex, AR10, and LDL-C strata. Main Outcomes and Measures Lifetime quality-adjusted life-years (QALYs) and costs (2019 US dollars) were projected and discounted 3.0% annually. The primary outcome was the incremental cost-effectiveness ratio. Results In these 100 simulated cohorts, each with 1 million patients aged 40 years at baseline (50% women and 50% men), adding preventive statins to individuals with borderline AR10 and LDL-C levels of 160 to 189 mg/dL would be cost-saving; further treating borderline AR10 and LDL-C levels of 130 to 159 mg/dL would also be cost-saving; and treating all individuals with AR10 of at least 5.0% would be highly cost-effective ($33 558/QALY) and would prevent the most ASCVD events. Within age, AR10, and sex categories, individuals with higher baseline LDL-C levels gained more QALYs from statin therapy. Cost-effectiveness increased with LDL-C level and AR10. Conclusions and Relevance In this study, lifetime statin treatment of patients in a hypothetical cohort with borderline ASCVD risk and LDL-C levels of 160 to 189 mg/dL was found to be cost-saving. Results suggest that treating all patients at borderline risk regardless of LDL-C level would likely be highly cost-effective.
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Affiliation(s)
- Ciaran N. Kohli-Lynch
- Division of General Medicine, Columbia University Medical Center, New York, New York
- Health Economics and Health Technology Assessment, University of Glasgow, Glasgow, United Kingdom
| | - Brandon K. Bellows
- Division of General Medicine, Columbia University Medical Center, New York, New York
| | | | - Yiyi Zhang
- Division of General Medicine, Columbia University Medical Center, New York, New York
| | - Mark J. Pletcher
- Department of Epidemiology & Biostatistics, University of California at San Francisco School of Medicine
| | - Eric Vittinghoff
- Department of Epidemiology & Biostatistics, University of California at San Francisco School of Medicine
| | | | - Dhruv Kazi
- Smith Center for Outcomes Research in Cardiology, Division of Cardiology, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | | | - Andrew E. Moran
- Division of General Medicine, Columbia University Medical Center, New York, New York
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Zhang Y, Vittinghoff E, Pletcher MJ, Allen NB, Zeki Al Hazzouri A, Yaffe K, Balte PP, Alonso A, Newman AB, Ives DG, Rana JS, Lloyd-Jones D, Vasan RS, Bibbins-Domingo K, Gooding HC, de Ferranti SD, Oelsner EC, Moran AE. Associations of Blood Pressure and Cholesterol Levels During Young Adulthood With Later Cardiovascular Events. J Am Coll Cardiol 2019; 74:330-341. [PMID: 31319915 PMCID: PMC6764095 DOI: 10.1016/j.jacc.2019.03.529] [Citation(s) in RCA: 139] [Impact Index Per Article: 23.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Revised: 03/07/2019] [Accepted: 03/24/2019] [Indexed: 12/13/2022]
Abstract
BACKGROUND Blood pressure (BP) and cholesterol are major modifiable risk factors for cardiovascular disease (CVD), but effects of exposures during young adulthood on later life CVD risk have not been well quantified. OBJECTIVE The authors sought to evaluate the independent associations between young adult exposures to risk factors and later life CVD risk, accounting for later life exposures. METHODS The authors pooled data from 6 U.S. cohorts with observations spanning the life course from young adulthood to later life, and imputed risk factor trajectories for low-density lipoprotein (LDL) and high-density lipoprotein cholesterols, systolic and diastolic BP starting from age 18 years for every participant. Time-weighted average exposures to each risk factor during young (age 18 to 39 years) and later adulthood (age ≥40 years) were calculated and linked to subsequent risks of coronary heart disease (CHD), heart failure (HF), or stroke. RESULTS A total of 36,030 participants were included. During a median follow-up of 17 years, there were 4,570 CHD, 5,119 HF, and 2,862 stroke events. When young and later adult risk factors were considered jointly in the model, young adult LDL ≥100 mg/dl (compared with <100 mg/dl) was associated with a 64% increased risk for CHD, independent of later adult exposures. Similarly, young adult SBP ≥130 mm Hg (compared with <120 mm Hg) was associated with a 37% increased risk for HF, and young adult DBP ≥80 mm Hg (compared with <80 mm Hg) was associated with a 21% increased risk. CONCLUSIONS Cumulative young adult exposures to elevated systolic BP, diastolic BP and LDL were associated with increased CVD risks in later life, independent of later adult exposures.
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Affiliation(s)
- Yiyi Zhang
- Division of General Medicine, Columbia University, New York, New York
| | - Eric Vittinghoff
- Department of Epidemiology and Biostatistics, School of Medicine, University of California-San Francisco, San Francisco, California
| | - Mark J Pletcher
- Department of Epidemiology and Biostatistics, School of Medicine, University of California-San Francisco, San Francisco, California
| | - Norrina B Allen
- Department of Preventive Medicine, Northwestern University, Chicago, Illinois
| | - Adina Zeki Al Hazzouri
- Division of Epidemiology and Population Health Sciences, Department of Public Health Sciences, University of Miami, Miami, Florida
| | - Kristine Yaffe
- Departments of Psychiatry, Neurology, and Epidemiology, University of California-San Francisco, San Francisco, California
| | - Pallavi P Balte
- Division of General Medicine, Columbia University, New York, New York
| | - Alvaro Alonso
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Anne B Newman
- Departments of Epidemiology, Medicine and Clinical and Translational Science Institute, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Diane G Ives
- Center for Aging and Population Health, Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Jamal S Rana
- Divisions of Cardiology and Research, Kaiser Permanente Northern California, Oakland, California
| | - Donald Lloyd-Jones
- Department of Preventive Medicine, Northwestern University, Chicago, Illinois
| | - Ramachandran S Vasan
- Department of Internal Medicine, Boston Medical Center, Boston University School of Medicine, Boston, Massachusetts; Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts; The Boston University and the National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, Massachusetts
| | - Kirsten Bibbins-Domingo
- Department of Epidemiology and Biostatistics, School of Medicine, University of California-San Francisco, San Francisco, California
| | - Holly C Gooding
- Division of Adolescent and Young Adult Medicine, Boston Children's Hospital, Boston, Massachusetts
| | | | | | - Andrew E Moran
- Division of General Medicine, Columbia University, New York, New York.
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Bhatt SP, Balte PP, Schwartz JE, Cassano PA, Couper D, Jacobs DR, Kalhan R, O’Connor GT, Yende S, Sanders JL, Umans JG, Dransfield MT, Chaves PH, White WB, Oelsner EC. Discriminative Accuracy of FEV1:FVC Thresholds for COPD-Related Hospitalization and Mortality. JAMA 2019; 321:2438-2447. [PMID: 31237643 PMCID: PMC6593636 DOI: 10.1001/jama.2019.7233] [Citation(s) in RCA: 138] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2019] [Accepted: 05/23/2019] [Indexed: 12/12/2022]
Abstract
Importance According to numerous current guidelines, the diagnosis of chronic obstructive pulmonary disease (COPD) requires a ratio of the forced expiratory volume in the first second to the forced vital capacity (FEV1:FVC) of less than 0.70, yet this fixed threshold is based on expert opinion and remains controversial. Objective To determine the discriminative accuracy of various FEV1:FVC fixed thresholds for predicting COPD-related hospitalization and mortality. Design, Setting, and Participants The National Heart, Lung, and Blood Institute (NHLBI) Pooled Cohorts Study harmonized and pooled data from 4 US general population-based cohorts (Atherosclerosis Risk in Communities Study; Cardiovascular Health Study; Health, Aging, and Body Composition Study; and Multi-Ethnic Study of Atherosclerosis). Participants aged 45 to 102 years were enrolled from 1987 to 2000 and received follow-up longitudinally through 2016. Exposures Presence of airflow obstruction, which was defined by a baseline FEV1:FVC less than a range of fixed thresholds (0.75 to 0.65) or less than the lower limit of normal as defined by Global Lung Initiative reference equations (LLN). Main Outcomes and Measures The primary outcome was a composite of COPD hospitalization and COPD-related mortality, defined by adjudication or administrative criteria. The optimal fixed FEV1:FVC threshold was defined by the best discrimination for these COPD-related events as indexed using the Harrell C statistic from unadjusted Cox proportional hazards models. Differences in C statistics were compared with respect to less than 0.70 and less than LLN thresholds using a nonparametric approach. Results Among 24 207 adults in the pooled cohort (mean [SD] age at enrollment, 63 [10.5] years; 12 990 [54%] women; 16 794 [69%] non-Hispanic white; 15 181 [63%] ever smokers), complete follow-up was available for 11 077 (77%) at 15 years. During a median follow-up of 15 years, 3925 participants experienced COPD-related events over 340 757 person-years of follow-up (incidence density rate, 11.5 per 1000 person-years), including 3563 COPD-related hospitalizations and 447 COPD-related deaths. With respect to discrimination of COPD-related events, the optimal fixed threshold (0.71; C statistic for optimal fixed threshold, 0.696) was not significantly different from the 0.70 threshold (difference, 0.001 [95% CI, -0.002 to 0.004]) but was more accurate than the LLN threshold (difference, 0.034 [95% CI, 0.028 to 0.041]). The 0.70 threshold provided optimal discrimination in the subgroup analysis of ever smokers and in adjusted models. Conclusions and Relevance Defining airflow obstruction as FEV1:FVC less than 0.70 provided discrimination of COPD-related hospitalization and mortality that was not significantly different or was more accurate than other fixed thresholds and the LLN. These results support the use of FEV1:FVC less than 0.70 to identify individuals at risk of clinically significant COPD.
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Affiliation(s)
- Surya P. Bhatt
- Division of Pulmonary, Allergy, and Critical Care Medicine and the UAB Lung Health Center, University of Alabama at Birmingham
| | - Pallavi P. Balte
- Division of General Medicine, Columbia University Medical Center, New York, New York
| | - Joseph E. Schwartz
- Division of General Medicine, Columbia University Medical Center, New York, New York
| | - Patricia A. Cassano
- Division of Nutritional Sciences, Weill Cornell Medical College, Ithaca, New York
| | - David Couper
- Gillings School of Global Public Health, University of North Carolina, Chapel Hill
| | - David R. Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis
| | - Ravi Kalhan
- Division of Pulmonary and Critical Care Medicine, Northwestern University, Chicago, Illinois
| | - George T. O’Connor
- Division of Pulmonary, Allergy, Sleep, and Critical Care, Boston University, Boston, Massachusetts
| | - Sachin Yende
- Department of Critical Care Medicine, University of Pittsburgh and Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania
| | - Jason L. Sanders
- Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Jason G. Umans
- MedStar Health Research Institute, Hyattsville, Maryland
| | - Mark T. Dransfield
- Division of Pulmonary, Allergy, and Critical Care Medicine and the UAB Lung Health Center, University of Alabama at Birmingham
| | - Paulo H. Chaves
- Benjamin Leon Center for Geriatric Research and Education, Florida International University, Miami
| | - Wendy B. White
- Undergraduate Training and Education Center, Tougaloo College, Tougaloo, Mississippi
| | - Elizabeth C. Oelsner
- Division of General Medicine, Columbia University Medical Center, New York, New York
- Department of Epidemiology, Mailman School of Public Health, Columbia University Medical Center, New York, New York
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Oelsner EC, Balte PP, Grams ME, Cassano PA, Jacobs DR, Barr RG, Burkart KM, Kalhan R, Kronmal R, Loehr LR, O’Connor GT, Schwartz JE, Shlipak M, Tracy RP, Tsai MY, White W, Yende S. Albuminuria, Lung Function Decline, and Risk of Incident Chronic Obstructive Pulmonary Disease. The NHLBI Pooled Cohorts Study. Am J Respir Crit Care Med 2019; 199:321-332. [PMID: 30261735 PMCID: PMC6363973 DOI: 10.1164/rccm.201803-0402oc] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2018] [Accepted: 09/28/2018] [Indexed: 12/30/2022] Open
Abstract
RATIONALE Chronic lower respiratory diseases (CLRDs), including chronic obstructive pulmonary disease (COPD) and asthma, are the fourth leading cause of death. Prior studies suggest that albuminuria, a biomarker of endothelial injury, is increased in patients with COPD. OBJECTIVES To test whether albuminuria was associated with lung function decline and incident CLRDs. METHODS Six U.S. population-based cohorts were harmonized and pooled. Participants with prevalent clinical lung disease were excluded. Albuminuria (urine albumin-to-creatinine ratio) was measured in spot samples. Lung function was assessed by spirometry. Incident CLRD-related hospitalizations and deaths were classified via adjudication and/or administrative criteria. Mixed and proportional hazards models were used to test individual-level associations adjusted for age, height, weight, sex, race/ethnicity, education, birth year, cohort, smoking status, pack-years of smoking, renal function, hypertension, diabetes, and medications. MEASUREMENTS AND MAIN RESULTS Among 10,961 participants with preserved lung function, mean age at albuminuria measurement was 60 years, 51% were never-smokers, median albuminuria was 5.6 mg/g, and mean FEV1 decline was 31.5 ml/yr. For each SD increase in log-transformed albuminuria, there was 2.81% greater FEV1 decline (95% confidence interval [CI], 0.86-4.76%; P = 0.0047), 11.02% greater FEV1/FVC decline (95% CI, 4.43-17.62%; P = 0.0011), and 15% increased hazard of incident spirometry-defined moderate-to-severe COPD (95% CI, 2-31%, P = 0.0021). Each SD log-transformed albuminuria increased hazards of incident COPD-related hospitalization/mortality by 26% (95% CI, 18-34%, P < 0.0001) among 14,213 participants followed for events. Asthma events were not significantly associated. Associations persisted in participants without current smoking, diabetes, hypertension, or cardiovascular disease. CONCLUSIONS Albuminuria was associated with greater lung function decline, incident spirometry-defined COPD, and incident COPD-related events in a U.S. population-based sample.
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Affiliation(s)
- Elizabeth C. Oelsner
- Department of Medicine, Columbia University College of Physicians and Surgeons, New York, New York
| | - Pallavi P. Balte
- Department of Medicine, Columbia University College of Physicians and Surgeons, New York, New York
| | - Morgan E. Grams
- Department of Medicine, Johns Hopkins University, Baltimore, Maryland
| | - Patricia A. Cassano
- Division of Nutritional Sciences, College of Human Ecology, Cornell University, Cornell, New York
| | | | - R. Graham Barr
- Department of Medicine, Columbia University College of Physicians and Surgeons, New York, New York
| | - Kristin M. Burkart
- Department of Medicine, Columbia University College of Physicians and Surgeons, New York, New York
| | - Ravi Kalhan
- Department of Medicine, Northwestern University, Chicago, Illinois
| | - Richard Kronmal
- Department of Statistics, School of Public Health, University of Washington, Seattle, Washington
| | - Laura R. Loehr
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina
| | | | - Joseph E. Schwartz
- Department of Medicine, Columbia University College of Physicians and Surgeons, New York, New York
- Department of Psychiatry and Behavioral Sciences, Stony Brook University, Stony Brook, New York
| | - Michael Shlipak
- Department of Medicine, University of California, San Francisco, San Francisco, California
| | - Russell P. Tracy
- Laboratory for Clinical Biochemistry Research, University of Vermont, Burlington, Vermont
| | - Michael Y. Tsai
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota
| | - Wendy White
- Jackson Heart Study, Undergraduate Training and Education Center, Tougaloo College, Jackson, Mississippi; and
| | - Sachin Yende
- Veterans Affairs Pittsburgh Healthcare System and
- Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
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50
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Benet M, Albang R, Pinart M, Hohmann C, Tischer CG, Annesi-Maesano I, Baïz N, Bindslev-Jensen C, Lødrup Carlsen KC, Carlsen KH, Cirugeda L, Eller E, Fantini MP, Gehring U, Gerhard B, Gori D, Hallner E, Kull I, Lenzi J, McEachan R, Minina E, Momas I, Narduzzi S, Petherick ES, Porta D, Rancière F, Standl M, Torrent M, Wijga AH, Wright J, Kogevinas M, Guerra S, Sunyer J, Keil T, Bousquet J, Maier D, Anto JM, Garcia-Aymerich J. Integrating Clinical and Epidemiologic Data on Allergic Diseases Across Birth Cohorts: A Harmonization Study in the Mechanisms of the Development of Allergy Project. Am J Epidemiol 2019; 188:408-417. [PMID: 30351340 DOI: 10.1093/aje/kwy242] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2018] [Accepted: 10/16/2018] [Indexed: 12/27/2022] Open
Abstract
The numbers of international collaborations among birth cohort studies designed to better understand asthma and allergies have increased in the last several years. However, differences in definitions and methods preclude direct pooling of original data on individual participants. As part of the Mechanisms of the Development of Allergy (MeDALL) Project, we harmonized data from 14 birth cohort studies (each with 3-20 follow-up periods) carried out in 9 European countries during 1990-1998 or 2003-2009. The harmonization process followed 6 steps: 1) organization of the harmonization panel; 2) identification of variables relevant to MeDALL objectives (candidate variables); 3) proposal of a definition for each candidate variable (reference definition); 4) assessment of the compatibility of each cohort variable with its reference definition (inferential equivalence) and classification of this inferential equivalence as complete, partial, or impossible; 5) convocation of a workshop to agree on the reference definitions and classifications of inferential equivalence; and 6) preparation and delivery of data through a knowledge management portal. We agreed on 137 reference definitions. The inferential equivalence of 3,551 cohort variables to their corresponding reference definitions was classified as complete, partial, and impossible for 70%, 15%, and 15% of the variables, respectively. A harmonized database was delivered to MeDALL investigators. In asthma and allergy birth cohorts, the harmonization of data for pooled analyses is feasible, and high inferential comparability may be achieved. The MeDALL harmonization approach can be used in other collaborative projects.
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Affiliation(s)
- Marta Benet
- ISGlobal
- Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain
- Consorcio Centro de Investigación Biomédica en Red Epidemiología y Salud Pública, Barcelona, Spain
| | | | - Mariona Pinart
- ISGlobal
- Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain
- Consorcio Centro de Investigación Biomédica en Red Epidemiología y Salud Pública, Barcelona, Spain
- Hospital del Mar Research Institute, Barcelona, Spain
| | - Cynthia Hohmann
- Institute for Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Christina G Tischer
- ISGlobal
- Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain
- Consorcio Centro de Investigación Biomédica en Red Epidemiología y Salud Pública, Barcelona, Spain
| | - Isabella Annesi-Maesano
- Epidemiology of Allergic and Respiratory Diseases Department, Institut Pierre Louis d’Epidémiologie et de Santé Publique, Institut National de la Santé et de la Recherche Médicale, Paris, France
- Saint-Antoine Medical School, Université Pierre et Marie Curie, Paris, France
| | - Nour Baïz
- Epidemiology of Allergic and Respiratory Diseases Department, Institut Pierre Louis d’Epidémiologie et de Santé Publique, Institut National de la Santé et de la Recherche Médicale, Paris, France
- Saint-Antoine Medical School, Université Pierre et Marie Curie, Paris, France
| | - Carsten Bindslev-Jensen
- Odense Research Center for Anaphylaxis, Department of Dermatology and Allergy Center, Odense University Hospital, Odense, Denmark
| | - Karin C Lødrup Carlsen
- Department of Paediatric Allergy and Pulmonology, Division of Paediatric and Adolescent Medicine, Faculty of Medicine, University of Oslo and Oslo University Hospital, Oslo, Norway
| | - Kai-Hakon Carlsen
- Department of Paediatric Allergy and Pulmonology, Division of Paediatric and Adolescent Medicine, Faculty of Medicine, University of Oslo and Oslo University Hospital, Oslo, Norway
| | - Lourdes Cirugeda
- ISGlobal
- Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain
- Consorcio Centro de Investigación Biomédica en Red Epidemiología y Salud Pública, Barcelona, Spain
| | - Esben Eller
- Odense Research Center for Anaphylaxis, Department of Dermatology and Allergy Center, Odense University Hospital, Odense, Denmark
| | - Maria Pia Fantini
- Department of Biomedical and Neuromotor Sciences, Alma Mater Studiorum–University of Bologna, Bologna, Italy
| | - Ulrike Gehring
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | | | - Davide Gori
- Department of Biomedical and Neuromotor Sciences, Alma Mater Studiorum–University of Bologna, Bologna, Italy
| | - Eva Hallner
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Centre for Occupational and Environmental Medicine, Stockholm County Council, Stockholm, Sweden
| | - Inger Kull
- Sachs’ Children and Youth Hospital, South General Hospital Stockholm, Stockholm, Sweden
- Department of Clinical Science and Education, Karolinska Institutet, Stockholm, Sweden
| | - Jacopo Lenzi
- Department of Biomedical and Neuromotor Sciences, Alma Mater Studiorum–University of Bologna, Bologna, Italy
| | - Rosemary McEachan
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, United Kingdom
| | | | - Isabelle Momas
- Université Paris Descartes, Sorbonne Paris Cité, EA 4064 Epidémiologie Environnementale, Paris, France
- Mairie de Paris, Direction de l’Action Sociale de l’Enfance et de la Santé, Cellule Cohorte, Paris, France
| | - Silvia Narduzzi
- Department of Epidemiology, Lazio Regional Health Service, Rome, Italy
| | - Emily S Petherick
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, United Kingdom
| | - Daniela Porta
- Department of Epidemiology, Lazio Regional Health Service, Rome, Italy
| | - Fanny Rancière
- Université Paris Descartes, Sorbonne Paris Cité, EA 4064 Epidémiologie Environnementale, Paris, France
| | - Marie Standl
- Institute of Epidemiology I, Helmholtz Zentrum München–German Research Center for Environmental Health, Neuherberg, Germany
| | - Maties Torrent
- Consorcio Centro de Investigación Biomédica en Red Epidemiología y Salud Pública, Barcelona, Spain
- Servei de Salut de les Illes Balears, Area de Salut de Menorca, Spain
| | - Alet H Wijga
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - John Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, United Kingdom
| | - Manolis Kogevinas
- ISGlobal
- Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain
- Consorcio Centro de Investigación Biomédica en Red Epidemiología y Salud Pública, Barcelona, Spain
- Hospital del Mar Research Institute, Barcelona, Spain
- National School of Public Health, Athens, Greece
| | - Stefano Guerra
- ISGlobal
- Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain
- Consorcio Centro de Investigación Biomédica en Red Epidemiología y Salud Pública, Barcelona, Spain
- Asthma and Airway Disease Research Center, University of Arizona, Tucson, Arizona
| | - Jordi Sunyer
- ISGlobal
- Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain
- Consorcio Centro de Investigación Biomédica en Red Epidemiología y Salud Pública, Barcelona, Spain
- Hospital del Mar Research Institute, Barcelona, Spain
| | - Thomas Keil
- Institute for Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Jean Bousquet
- Contre les Maladies Chroniques pour un Vieillissement Actif en France, European Innovation Partnership on Active and Healthy Ageing Reference Site, Montpellier, France
- Institut National de la Santé et de la Recherche Médicale, Unité Mixte de Recherche 1168
| | | | - Josep M Anto
- ISGlobal
- Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain
- Consorcio Centro de Investigación Biomédica en Red Epidemiología y Salud Pública, Barcelona, Spain
- Hospital del Mar Research Institute, Barcelona, Spain
| | - Judith Garcia-Aymerich
- ISGlobal
- Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain
- Consorcio Centro de Investigación Biomédica en Red Epidemiología y Salud Pública, Barcelona, Spain
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