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Song RJ, Larson MG, Aparicio HJ, Gaziano JM, Wilson P, Cho K, Vasan RS, Fox MP, Djoussé L. Moderate alcohol consumption on the risk of stroke in the Million Veteran Program. BMC Public Health 2023; 23:2485. [PMID: 38087273 PMCID: PMC10714616 DOI: 10.1186/s12889-023-17377-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 11/29/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND There is inconsistent evidence on the association of moderate alcohol consumption and stroke risk in the general population and is not well studied among U.S. Veterans. Furthermore, it is unclear whether primarily drinking beer, wine, or liquor is associated with a difference in stroke risk. METHODS The study included 185,323 Million Veteran Program participants who self-reported alcohol consumption on the Lifestyle Survey. Moderate consumption was defined as 1-2 drinks/day and beverage preference of beer, wine or liquor was defined if ≥ 50% of total drinks consumed were from a single type of beverage. Strokes were defined using ICD-9 and ICD-10 codes from the participants' electronic health record. RESULTS The mean (sd) age of the sample was 64 (13) years and 11% were women. We observed 4,339 (94% ischemic; 6% hemorrhagic) strokes over a median follow-up of 5.2 years. In Cox models adjusted for age, sex, race, education, income, body mass index, smoking, exercise, diet, cholesterol, prevalent diabetes, prevalent hypertension, lipid-lowering medication, antihypertensive medication, and diabetes medication, moderate alcohol consumption (1-2 drinks/day) was associated with a 22% lower risk of total stroke compared with never drinking [Hazards ratio (HR) 95% confidence interval (CI): 0.78 (0.67, 0.92)]. When stratifying by stroke type, we observed a similar protective association with moderate consumption and ischemic stroke [HR (95% CI): 0.76 (0.65, 0.90)], but a non-statistically significant higher risk of hemorrhagic stroke [HR (95% CI): 1.29 (0.64, 2.61)]. We did not observe a difference in ischemic or hemorrhagic stroke risk among those who preferred beer, liquor or wine vs. no beverage preference. When stratifying by prior number of hospital visits (≤ 15, 16-33, 34-64, ≥ 65) as a proxy for health status, we observed attenuation of the protective association with greater number of visits [HR (95% CI): 0.87 (0.63, 1.19) for ≥ 65 visits vs. 0.80 (0.59, 1.08) for ≤ 15 visits]. CONCLUSIONS We observed a lower risk of ischemic stroke, but not hemorrhagic stroke with moderate alcohol consumption and did not observe substantial differences in risk by beverage preference among a sample of U.S. Veterans. Healthy user bias of moderate alcohol consumption may be driving some of the observed protective association.
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Affiliation(s)
- Rebecca J Song
- MAVERIC VA Boston Healthcare System, Lafayette City Center, 2 Avenue de Lafayette, Boston, MA, 02111, USA.
| | - Martin G Larson
- Department of Biostatistics, Boston University School of Public Health, Boston, USA
- Department of Medicine, Boston University School of Medicine, Boston, USA
| | - Hugo J Aparicio
- MAVERIC VA Boston Healthcare System, Lafayette City Center, 2 Avenue de Lafayette, Boston, MA, 02111, USA
- Department of Neurology, Boston University School of Medicine, Boston, USA
| | - J Michael Gaziano
- MAVERIC VA Boston Healthcare System, Lafayette City Center, 2 Avenue de Lafayette, Boston, MA, 02111, USA
- Division of Aging, Department of Medicine, Harvard Medical School, Boston, USA
| | - Peter Wilson
- Atlanta VA Medical Center, Decatur, GA, USA
- Emory University Schools of Medicine and Public Health, Atlanta, GA, USA
| | - Kelly Cho
- MAVERIC VA Boston Healthcare System, Lafayette City Center, 2 Avenue de Lafayette, Boston, MA, 02111, USA
- Division of Aging, Department of Medicine, Harvard Medical School, Boston, USA
| | - Ramachandran S Vasan
- Section of Preventive Medicine, Boston University School of Medicine, Boston, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, USA
| | - Matthew P Fox
- Department of Epidemiology, Boston University School of Public Health, Boston, USA
- Department of Global Health, Boston University School of Public Health, Boston, USA
| | - Luc Djoussé
- MAVERIC VA Boston Healthcare System, Lafayette City Center, 2 Avenue de Lafayette, Boston, MA, 02111, USA
- Division of Aging, Department of Medicine, Harvard Medical School, Boston, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, USA
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Li Y, Wang DD, Nguyen XMT, Song RJ, Ho YL, Hu FB, Willett WC, Wilson PWF, Cho K, Gaziano JM, Djousse L. Plant-based diets and the incidence of cardiovascular disease: the Million Veteran Program. BMJ Nutr Prev Health 2023; 6:212-220. [PMID: 38264362 PMCID: PMC10800254 DOI: 10.1136/bmjnph-2021-000401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 09/25/2023] [Indexed: 01/25/2024] Open
Abstract
Background A healthful plant-based diet was associated with lower risks of coronary heart disease and type 2 diabetes, and a favourable profile of adiposity-associated biomarkers, while an unhealthful plant-based diet was associated with elevated risk of cardiometabolic disease in health professional populations. However, little is known about the associations between plant-based dietary patterns and risk of cardiovascular disease (CVD) in US veterans. Methods The study population consisted of 148 506 participants who were free of diabetes, CVD and cancer at baseline in the Veterans Affairs (VA) Million Veteran Program. Diet was assessed using a Food Frequency Questionnaire at baseline. We calculated an overall Plant-Based Diet Index (PDI), a healthful PDI (hPDI) and an unhealthful PDI (uPDI). The CVD endpoints included non-fatal myocardial infarction (MI) and acute ischaemic stroke (AIS) identified through high-throughput phenotyping algorithms approach and fatal CVD events identified by searching the National Death Index. Results With up to 8 years of follow-up, we documented 5025 CVD cases. After adjustment for confounding factors, a higher PDI was significantly associated with a lower risk of CVD (HR comparing extreme quintiles=0.75, 95% CI 0.68 to 0.82, P trend<0.0001). We observed an inverse association between hPDI and the risk of CVD (HR comparing extreme quintiles=0.71, 95% CI 0.64 to 0.78, P trend<0.001), whereas uPDI was positively associated with the risk of CVD (HR comparing extreme quintiles=1.12, 95% CI 1.02 to 1.24, P trend<0.001). We found similar associations of hPDI with subtypes of CVD; a 10-unit increment in hPDI was associated with HRs (95% CI) of 0.81 (0.75 to 0.87) for fatal CVD, 0.86 (0.79 to 0.94) for non-fatal MI and 0.86 (0.78 to 0.95) for non-fatal AIS. Conclusions Plant-based dietary pattern enriched with healthier plant foods was associated with a substantially lower CVD risk in US veterans.
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Affiliation(s)
- Yanping Li
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Dong D Wang
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, USA
- The Channing Division for Network Medicine,Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Xuan-Mai T Nguyen
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, USA
- Carle Illinois College of Medicine, University of Illinois Urbana Champaign, Champaign, Illinois, USA
| | - Rebecca J Song
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Yuk-Lam Ho
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, USA
| | - Frank B Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- The Channing Division for Network Medicine,Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Walter C Willett
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- The Channing Division for Network Medicine,Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Peter W F Wilson
- Epidemiology and Genomic Medicine, Atlanta VA Medical Center, Atlanta, Massachusetts, USA
- Division of Cardiology, Emory Clinical Cardiovascular Research Institute, Atlanta, Georgia, USA
| | - Kelly Cho
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, USA
- Division of Aging, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - John Michael Gaziano
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, USA
- Division of Aging, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Luc Djousse
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, USA
- Division of Aging, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
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Nguyen XT, Ho Y, Li Y, Song RJ, Leung KH, Rahman SU, Orkaby AR, Vassy JL, Gagnon DR, Cho K, Gaziano JM, Wilson PWF. Serum Cholesterol and Impact of Age on Coronary Heart Disease Death in More Than 4 Million Veterans. J Am Heart Assoc 2023; 12:e030496. [PMID: 37889207 PMCID: PMC10727410 DOI: 10.1161/jaha.123.030496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 09/29/2023] [Indexed: 10/28/2023]
Abstract
Background The lipid hypothesis postulates that lower blood cholesterol is associated with reduced coronary heart disease (CHD) risk, which has been challenged by reports of a U-shaped relation between cholesterol and death in recent studies. We sought to examine whether the U-shaped relationship is true and to assess the impact of age on this association. Method and Results We conducted a prospective cohort study of 4 467 942 veterans aged >18 years, with baseline outpatient visits from 2002 to 2007 and follow-up to December 30, 2018, in the Veterans Health Administration electronic health record system. We observed a J-shaped relation between total cholesterol (TC) and CHD mortality after a comprehensive adjustment of confounding factors: flat for TC <180 mg/dL, and greater risk was present at higher cholesterol levels. Compared with veterans with TC between 180 and 199 mg/dL, the multiadjusted hazard ratios (HRs) for CHD death were 1.03 (95% CI, 1.02-1.04), 1.07 (95% CI, 1.06-1.09), 1.15 (95% CI, 1.13-1.18), 1.25 (95% CI, 1.22-1.28), and 1.45 (95% CI, 1.42-1.49) times greater among veterans with TC (mg/dL) of 200 to 219, 220 to 239, 140 to 259, 260 to 279 and ≥280, respectively. Similar J-shaped TC-CHD mortality patterns were observed among veterans with and without statin use at or before baseline. Conclusions The cholesterol paradox, for example, higher CHD death in patients with a low cholesterol level, was a reflection of reverse causality, especially among older participants. Our results support the lipid hypothesis that lower blood cholesterol is associated with reduced CHD. Furthermore, the hypothesis remained true when TC was low due to use of statins or other lipid-lowering medication.
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Affiliation(s)
- Xuan‐Mai T. Nguyen
- MAVERIC VA Boston Healthcare SystemBostonMAUSA
- Carle Illinois College of MedicineUniversity of Illinois Urbana ChampaignChampaignILUSA
| | - Yuk‐Lam Ho
- MAVERIC VA Boston Healthcare SystemBostonMAUSA
| | - Yanping Li
- MAVERIC VA Boston Healthcare SystemBostonMAUSA
| | | | - Kenneth H. Leung
- Carle Illinois College of MedicineUniversity of Illinois Urbana ChampaignChampaignILUSA
| | - Saad Ur Rahman
- Carle Illinois College of MedicineUniversity of Illinois Urbana ChampaignChampaignILUSA
| | - Ariela R. Orkaby
- MAVERIC VA Boston Healthcare SystemBostonMAUSA
- Division on Aging, Department of MedicineBrigham and Women’s HospitalBostonMAUSA
- Department of MedicineHarvard Medical SchoolBostonMAUSA
| | - Jason L. Vassy
- MAVERIC VA Boston Healthcare SystemBostonMAUSA
- Division of General Internal MedicineBrigham and Women’s HospitalBostonMAUSA
| | - David R. Gagnon
- MAVERIC VA Boston Healthcare SystemBostonMAUSA
- Boston University School of Public HealthBostonMAUSA
| | - Kelly Cho
- MAVERIC VA Boston Healthcare SystemBostonMAUSA
- Division on Aging, Department of MedicineBrigham and Women’s HospitalBostonMAUSA
- Department of MedicineHarvard Medical SchoolBostonMAUSA
| | - J. Michael Gaziano
- MAVERIC VA Boston Healthcare SystemBostonMAUSA
- Division on Aging, Department of MedicineBrigham and Women’s HospitalBostonMAUSA
- Department of MedicineHarvard Medical SchoolBostonMAUSA
| | - Peter W. F. Wilson
- Atlanta VA Medical CenterDecaturGAUSA
- Emory University Schools of Medicine and Public HealthAtlantaGAUSA
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Moon JY, Chai JC, Yu B, Song RJ, Chen GC, Graff M, Daviglus ML, Chan Q, Thyagarajan B, Castaneda SF, Grove ML, Cai J, Xue X, Mossavar-Rahmani Y, Vasan RS, Boerwinkle E, Kaplan R, Qi Q. Metabolomic Signatures of Sedentary Behavior and Cardiometabolic Traits in US Hispanics/Latinos: Results from HCHS/SOL. Med Sci Sports Exerc 2023; 55:1781-1791. [PMID: 37170952 PMCID: PMC10523950 DOI: 10.1249/mss.0000000000003205] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
PURPOSE The aim of this study was to understand the serum metabolomic signatures of moderate-to-vigorous physical activity (MVPA) and sedentary behavior, and further associate their metabolomic signatures with incident cardiometabolic diseases. METHODS This analysis included 2711 US Hispanics/Latinos from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) aged 18-74 yr (2008-2011). An untargeted, liquid chromatography-mass spectrometry was used to profile the serum metabolome. The associations of metabolites with accelerometer-measured MVPA and sedentary time were examined using survey linear regressions adjusting for covariates. The weighted correlation network analysis identified modules of correlated metabolites in relation to sedentary time, and the modules were associated with incident diabetes, dyslipidemia, and hypertension over the 6-yr follow-up. RESULTS Of 624 metabolites, 5 and 102 were associated with MVPA and sedentary behavior at false discovery rate (FDR) <0.05, respectively, after adjusting for socioeconomic and lifestyle factors. The weighted correlation network analysis identified 8 modules from 102 metabolites associated with sedentary time. Four modules (branched-chain amino acids, erythritol, polyunsaturated fatty acid, creatine) were positively, and the other four (acyl choline, plasmalogen glycerol phosphatidyl choline, plasmalogen glycerol phosphatidyl ethanolamine, urea cycle) were negatively correlated with sedentary time. Among these modules, a higher branched-chain amino acid score and a lower plasmalogen glycerol phosphatidyl choline score were associated with increased risks of diabetes and dyslipidemia. A higher erythritol score was associated with an increased risk of diabetes, and a lower acyl choline score was linked to an increased risk of hypertension. CONCLUSIONS In this study of US Hispanics/Latinos, we identified multiple serum metabolomic signatures of sedentary behavior and their associations with risk of incident diabetes, hypertension, and dyslipidemia. These findings suggest a potential role of circulating metabolites in the links between sedentary behavior and cardiometabolic diseases.
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Affiliation(s)
- Jee-Young Moon
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY
| | - Jin Choul Chai
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY
| | - Bing Yu
- Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX
| | - Rebecca J. Song
- Department of Medicine, Boston University School of Medicine, Boston, MA
| | - Guo-chong Chen
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY
- Department of Nutrition and Food Hygiene, School of Public Health, Soochow University, Suzhou, CHINA
| | - Mariaelisa Graff
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, NC
| | - Martha L. Daviglus
- Institute for Minority Health Research, University of Illinois Chicago, Chicago, IL
| | - Queenie Chan
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, IL
| | - Bharat Thyagarajan
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN
| | | | - Megan L. Grove
- Department of Nutrition and Food Hygiene, School of Public Health, Soochow University, Suzhou, CHINA
| | - Jianwen Cai
- Department of Biostatistics, University of North Carolina at Chapel Hill, NC
| | - Xiaonan Xue
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY
| | - Yasmin Mossavar-Rahmani
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY
| | | | - Eric Boerwinkle
- Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX
| | - Robert Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Qibin Qi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY
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Mossavar-Rahmani Y, Lin J, Pan S, Song RJ, Xue X, Spartano NL, Xanthakis V, Sotres-Alvarez D, Marquez DX, Daviglus M, Carlson JA, Parada H, Evenson KR, Talavera AC, Gellman M, Perreira KM, Gallo LC, Vasan RS, Kaplan RC. Characterizing longitudinal change in accelerometry-based moderate-to-vigorous physical activity in the Hispanic Community Health Study/Study of Latinos and the Framingham Heart Study. BMC Public Health 2023; 23:1614. [PMID: 37620824 PMCID: PMC10464120 DOI: 10.1186/s12889-023-16442-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 08/02/2023] [Indexed: 08/26/2023] Open
Abstract
BACKGROUND Physical activity promotes health and is particularly important during middle and older age for decreasing morbidity and mortality. We assessed the correlates of changes over time in moderate-to-vigorous physical activity (MVPA) in Hispanic/Latino adults from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL: mean [SD] age 49.2 y [11.5]) and compared them to a cohort of primarily White adults from the Framingham Heart Study (FHS: mean [SD] 46.9 y [9.2]). METHODS Between 2008 and 2019, we assessed accelerometry-based MVPA at two time points with an average follow-up of: 7.6 y, SD 1.3 for HCHS/SOL, and 7.8 y, SD 0.7 for FHS. We used multinomial logistic regression to relate socio-demographic and health behaviors with changes in compliance with 2018 US recommendations for MVPA from time 1 to time 2 (remained active or inactive; became active or inactive) across the two cohorts. RESULTS In HCHS/SOL mean MVPA was 22.6 (SD, 23.8) minutes at time 1 and dropped to 16.7 (19.0) minutes at time 2. In FHS Mean MVPA was 21.7 min (SD, 17.7) at time 1 and dropped to 21.3 min (SD, 19.2) at time 2. Across both cohorts, odds of meeting MVPA guidelines over time were about 6% lower in individuals who had lower quality diets vs. higher, about half in older vs. younger adults, about three times lower in women vs. men, and 9% lower in individuals who had a higher vs. lower BMI at baseline. Cohorts differed in how age, gender, income, education, depressive symptoms, marital status and perception of general health and pain associated with changes in physical activity. High income older Hispanics/Latino adults were more likely to become inactive at the follow-up visit as were HCHS/SOL women who were retired and FHS participants who had lower levels of education and income. Higher depressive symptomology was associated with becoming active only in HCHS/SOL women. Being male and married was associated with becoming inactive in both cohorts. Higher perception of general health and lower perception of pain were associated with remaining active only in FHS adults. CONCLUSIONS These findings highlight potentially high-risk groups for targeted MVPA intervention.
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Affiliation(s)
- Yasmin Mossavar-Rahmani
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Belfer Bldg, 1312C, Bronx, NY, 10461, USA.
| | - Juan Lin
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Belfer Bldg, 1312C, Bronx, NY, 10461, USA
| | - Stephanie Pan
- Section of Preventive Medicine and Epidemiology, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, 02118, USA
| | - Rebecca J Song
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, 02118, USA
| | - Xiaonan Xue
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Belfer Bldg, 1312C, Bronx, NY, 10461, USA
| | - Nicole L Spartano
- Department of Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, 02118, USA
| | - Vanessa Xanthakis
- Section of Preventive Medicine and Epidemiology, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, 02118, USA
- Framingham Heart Study, Framingham, MA, 01701, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
| | - Daniela Sotres-Alvarez
- Department of Biostatistics, Gillings School of Global Public Health, Collaborative Studies Coordinating Center, University of North Carolina, Chapel Hill, NC, 27516, USA
| | - David X Marquez
- Department of Kinesiology & Nutrition, University of Illinois Chicago, Chicago, IL, 60612, USA
| | - Martha Daviglus
- Institute for Minority Health Research, University of Illinois Chicago, Chicago, IL, 60612, USA
| | - Jordan A Carlson
- Department of Pediatrics, Children's Mercy Hospital and University of Missouri-Kansas City School of Medicine, Kansas City, MO, 64108, USA
| | - Humberto Parada
- Division of Epidemiology & Biostatistics, San Diego State University School of Public Health, San Diego, CA, 92182, USA
| | - Kelly R Evenson
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Ana C Talavera
- South Bay Latino Research Center, College of Sciences, San Diego State University, San Diego, CA, 92182, USA
| | - Marc Gellman
- Department of Psychology, University of Miami, Coral Gables, Florida, 33136, USA
| | - Krista M Perreira
- Department of Social Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, 27599, USA
| | - Linda C Gallo
- Department of Psychology, San Diego State University, San Diego, CA, 91910, USA
| | - Ramachandran S Vasan
- Section of Preventive Medicine and Epidemiology, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, 02118, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, 02118, USA
- Framingham Heart Study, Framingham, MA, 01701, USA
- University of Texas School of Public Health, San Antonio and University of Texas Health Science Center, San Antonio, TX, 78229, USA
- Section of Cardiovascular Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, 02118, USA
| | - Robert C Kaplan
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Belfer Bldg, 1312C, Bronx, NY, 10461, USA
- Fred Hutchinson Cancer Research Center, Division of Public Health Sciences, Seattle, WA, 98109, USA
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6
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Nguyen XMT, Li Y, Ho YL, Song RJ, Orkaby AR, Vassy JL, Gagnon D, Cho K, Gaziano JM, WILSON PETER. Abstract P595: Low Serum Cholesterol and Coronary Heart Disease Mortality in Veterans. Circulation 2023. [DOI: 10.1161/circ.147.suppl_1.p595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
Abstract
Background:
The lipid hypothesis postulates that lower blood cholesterol is associated with reduced coronary heart disease (CHD) risk, which has been challenged by recent studies that observed a U-shaped relation between cholesterol and mortality. The effect of low cholesterol and CHD risk among Veterans is unclear.
Methods:
This prospective cohort study included Veterans greater than 18 years of age with baseline outpatient visits from 2002 to 2007 and follow-up to December 30, 2018 in the Veterans Health Administration electronic health record system. Veterans were followed to assess CHD mortality risk in relation to outpatient blood cholesterol levels. We used Cox proportional hazard regression to estimate the hazard ratio (HR) and 95% confidence interval (CI) of CHD mortality associated with total cholesterol (TC).
Results:
Among 4,467,942 Veterans, 381,871 CHD deaths were recorded. We observed a V-shaped relation between TC and age-, sex, race and smoking-adjusted risk of CHD mortality. The association became U-shaped after adjustment for statin use, body mass index, hypertension, and diabetes. When further adjusted for high-density lipoprotein level, 11 baseline diseases, and applying a 2-year lag analysis, the relation to CHD mortality was J-shaped--flat for TC<180 mg/dL and greater risk was present at higher cholesterol levels. Compared to Veterans with TC between 180-199 mg/dL, risk for CHD mortality (HR (95%CI)) was 1.03 (1.02-1.04), 1.07 (1.06-1.09), 1.15 (1.13-1.18), 1.25 (1.22-1.28) and 1.45 (1.42-1.49) times greater among Veterans with TC (mg/dL) of 200-219, 220-239, 140-259, 260-279 and ≥280, respectively. Transition of the TC- CHD mortality patterns were J-J-J, V-U-J and L-U-J among young, middle, and older veterans (P for interaction between TC and age group < 0.001). Similar J-shaped but weaker relations were observed in statin users at baseline.
Conclusions:
Based on prospective data for almost 4.5 million adult Veterans, CHD mortality risk steadily increased for TC ≥200mg/dL after adjustment for a range of health conditions. Our results support the lipid hypothesis that lower blood cholesterol is associated with reduced CHD risk and lower prevalence of multimorbidity, mental health disorders, nutritional deficits, and other risk factors for CHD. Furthermore, the hypothesis remained true when TC was low due to use of statins or other lipid-lowering medication. The changes in risk for CHD mortality by TC groups observed in our study (L- to U- to J-shape) highlights the importance of fully adjusting for the presence of multimorbidity and HDL-C to avoid misleading conclusions.
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Affiliation(s)
| | | | | | | | | | | | | | - Kelly Cho
- VA Boston Healthcare System, Boston, MA
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7
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Nguyen XMT, Whitbourne SB, Li Y, Quaden RM, Song RJ, Nguyen HNA, Harrington K, Djousse L, Brewer JVV, Deen J, Muralidhar S, Ramoni RB, Cho K, Casas JP, Tsao PS, Gaziano JM. Data Resource Profile: Self-reported data in the Million Veteran Program: survey development and insights from the first 850 736 participants. Int J Epidemiol 2023; 52:e1-e17. [PMID: 35748351 DOI: 10.1093/ije/dyac133] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/09/2022] [Indexed: 12/12/2022] Open
Affiliation(s)
- Xuan-Mai T Nguyen
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA.,Carle Illinois College of Medicine, University of Illinois Urbana-Champaign, Champaign, IL, USA
| | - Stacey B Whitbourne
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA.,Department of Medicine, Harvard Medical School, Boston, MA, USA.,Department of Medicine, Division of Aging, Brigham and Women's Hospital, Boston, MA, USA
| | - Yanping Li
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
| | - Rachel M Quaden
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
| | - Rebecca J Song
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
| | - Hai-Nam A Nguyen
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
| | - Kelly Harrington
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
| | - Luc Djousse
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA.,New England Geriatric Research, Education, and Clinical Center (GRECC), VA Boston Healthcare System, Boston, MA, USA
| | - Jessica V V Brewer
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
| | - Jennifer Deen
- Office of Research and Development, Veterans Health Administration, Washington, DC, USA
| | - Sumitra Muralidhar
- Office of Research and Development, Veterans Health Administration, Washington, DC, USA
| | - Rachel B Ramoni
- Office of Research and Development, Veterans Health Administration, Washington, DC, USA
| | - Kelly Cho
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA.,Department of Medicine, Harvard Medical School, Boston, MA, USA.,Department of Medicine, Division of Aging, Brigham and Women's Hospital, Boston, MA, USA
| | - Juan P Casas
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA.,Department of Medicine, Harvard Medical School, Boston, MA, USA.,Department of Medicine, Division of Aging, Brigham and Women's Hospital, Boston, MA, USA
| | - Philip S Tsao
- VA Palo Alto Epidemiology Research and Information Center for Genomics, VA Palo Alto Health Care System, Palo Alto, CA, USA
| | - John M Gaziano
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA.,Department of Medicine, Harvard Medical School, Boston, MA, USA.,Department of Medicine, Division of Aging, Brigham and Women's Hospital, Boston, MA, USA
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Gaziano L, Sun L, Arnold M, Bell S, Cho K, Kaptoge SK, Song RJ, Burgess S, Posner DC, Mosconi K, Robinson-Cohen C, Mason AM, Bolton TR, Tao R, Allara E, Schubert P, Chen L, Staley JR, Staplin N, Altay S, Amiano P, Arndt V, Ärnlöv J, Barr EL, Björkelund C, Boer JM, Brenner H, Casiglia E, Chiodini P, Cooper JA, Coresh J, Cushman M, Dankner R, Davidson KW, de Jongh RT, Donfrancesco C, Engström G, Freisling H, de la Cámara AG, Gudnason V, Hankey GJ, Hansson PO, Heath AK, Hoorn EJ, Imano H, Jassal SK, Kaaks R, Katzke V, Kauhanen J, Kiechl S, Koenig W, Kronmal RA, Kyrø C, Lawlor DA, Ljungberg B, MacDonald C, Masala G, Meisinger C, Melander O, Moreno Iribas C, Ninomiya T, Nitsch D, Nordestgaard BG, Onland-Moret C, Palmieri L, Petrova D, Garcia JRQ, Rosengren A, Sacerdote C, Sakurai M, Santiuste C, Schulze MB, Sieri S, Sundström J, Tikhonoff V, Tjønneland A, Tong T, Tumino R, Tzoulaki I, van der Schouw YT, Monique Verschuren W, Völzke H, Wallace RB, Wannamethee SG, Weiderpass E, Willeit P, Woodward M, Yamagishi K, Zamora-Ros R, Akwo EA, Pyarajan S, Gagnon DR, Tsao PS, Muralidhar S, Edwards TL, Damrauer SM, Joseph J, Pennells L, Wilson PW, Harrison S, Gaziano TA, Inouye M, Baigent C, Casas JP, Langenberg C, Wareham N, Riboli E, Gaziano J, Danesh J, Hung AM, Butterworth AS, Wood AM, Di Angelantonio E. Mild-to-Moderate Kidney Dysfunction and Cardiovascular Disease: Observational and Mendelian Randomization Analyses. Circulation 2022; 146:1507-1517. [PMID: 36314129 PMCID: PMC9662821 DOI: 10.1161/circulationaha.122.060700] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Accepted: 08/18/2022] [Indexed: 01/28/2023]
Abstract
BACKGROUND End-stage renal disease is associated with a high risk of cardiovascular events. It is unknown, however, whether mild-to-moderate kidney dysfunction is causally related to coronary heart disease (CHD) and stroke. METHODS Observational analyses were conducted using individual-level data from 4 population data sources (Emerging Risk Factors Collaboration, EPIC-CVD [European Prospective Investigation into Cancer and Nutrition-Cardiovascular Disease Study], Million Veteran Program, and UK Biobank), comprising 648 135 participants with no history of cardiovascular disease or diabetes at baseline, yielding 42 858 and 15 693 incident CHD and stroke events, respectively, during 6.8 million person-years of follow-up. Using a genetic risk score of 218 variants for estimated glomerular filtration rate (eGFR), we conducted Mendelian randomization analyses involving 413 718 participants (25 917 CHD and 8622 strokes) in EPIC-CVD, Million Veteran Program, and UK Biobank. RESULTS There were U-shaped observational associations of creatinine-based eGFR with CHD and stroke, with higher risk in participants with eGFR values <60 or >105 mL·min-1·1.73 m-2, compared with those with eGFR between 60 and 105 mL·min-1·1.73 m-2. Mendelian randomization analyses for CHD showed an association among participants with eGFR <60 mL·min-1·1.73 m-2, with a 14% (95% CI, 3%-27%) higher CHD risk per 5 mL·min-1·1.73 m-2 lower genetically predicted eGFR, but not for those with eGFR >105 mL·min-1·1.73 m-2. Results were not materially different after adjustment for factors associated with the eGFR genetic risk score, such as lipoprotein(a), triglycerides, hemoglobin A1c, and blood pressure. Mendelian randomization results for stroke were nonsignificant but broadly similar to those for CHD. CONCLUSIONS In people without manifest cardiovascular disease or diabetes, mild-to-moderate kidney dysfunction is causally related to risk of CHD, highlighting the potential value of preventive approaches that preserve and modulate kidney function.
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Affiliation(s)
- Liam Gaziano
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA (L.G., K.C., R.J.S., D.C.P., P.S., J.J., J.P.C., J.M.G.)
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Heart and Lung Research Institute, University of Cambridge, Cambridge UK (L.G., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., E.A., L. Pennells, M.I., J.D., A.S.B., A.M.W., E.D.A.)
| | - Luanluan Sun
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA (L.G., K.C., R.J.S., D.C.P., P.S., J.J., J.P.C., J.M.G.)
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
| | | | - Steven Bell
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA (L.G., K.C., R.J.S., D.C.P., P.S., J.J., J.P.C., J.M.G.)
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Heart and Lung Research Institute, University of Cambridge, Cambridge UK (L.G., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., E.A., L. Pennells, M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Stroke Research Group, Department of Clinical Neurosciences (S. Bell), University of Cambridge, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Behaviour (S. Bell, T.R.B., E.A., J.D., A.S.B., A.M.W., E.D.A.), University of Cambridge, UK
| | - Kelly Cho
- Division of Aging (K.C., S.P., J.P.C. J.M.G.), Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Stephen K. Kaptoge
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA (L.G., K.C., R.J.S., D.C.P., P.S., J.J., J.P.C., J.M.G.)
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Heart and Lung Research Institute, University of Cambridge, Cambridge UK (L.G., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., E.A., L. Pennells, M.I., J.D., A.S.B., A.M.W., E.D.A.)
| | - Rebecca J. Song
- Department of Epidemiology, Boston University School of Public Health, MA (R.J.S.)
| | - Stephen Burgess
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA (L.G., K.C., R.J.S., D.C.P., P.S., J.J., J.P.C., J.M.G.)
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital (A.M.M., S. Burgess, J.D., A.M.W., A.S.B., E.D.A.)
- Heart and Lung Research Institute, University of Cambridge, Cambridge UK (L.G., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., E.A., L. Pennells, M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Medical Research Council Biostatistics Unit (A.M.M., S. Burgess), University of Cambridge, UK
| | - Daniel C. Posner
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA (L.G., K.C., R.J.S., D.C.P., P.S., J.J., J.P.C., J.M.G.)
| | - Katja Mosconi
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA (L.G., K.C., R.J.S., D.C.P., P.S., J.J., J.P.C., J.M.G.)
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Heart and Lung Research Institute, University of Cambridge, Cambridge UK (L.G., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., E.A., L. Pennells, M.I., J.D., A.S.B., A.M.W., E.D.A.)
| | - Cassianne Robinson-Cohen
- Division of Nephrology, Department of Medicine (C.R.-C., E.A.A.), Vanderbilt University Medical Center, Nashville, TN
| | - Amy M. Mason
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital (A.M.M., S. Burgess, J.D., A.M.W., A.S.B., E.D.A.)
- Heart and Lung Research Institute, University of Cambridge, Cambridge UK (L.G., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., E.A., L. Pennells, M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Medical Research Council Biostatistics Unit (A.M.M., S. Burgess), University of Cambridge, UK
| | - Thomas R. Bolton
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- NIHR Blood and Transplant Research Unit in Donor Health and Behaviour (S. Bell, T.R.B., E.A., J.D., A.S.B., A.M.W., E.D.A.), University of Cambridge, UK
| | - Ran Tao
- Department of Biostatistics (R. Tao), Vanderbilt University Medical Center, Nashville, TN
| | - Elias Allara
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Heart and Lung Research Institute, University of Cambridge, Cambridge UK (L.G., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., E.A., L. Pennells, M.I., J.D., A.S.B., A.M.W., E.D.A.)
- NIHR Blood and Transplant Research Unit in Donor Health and Behaviour (S. Bell, T.R.B., E.A., J.D., A.S.B., A.M.W., E.D.A.), University of Cambridge, UK
| | - Petra Schubert
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA (L.G., K.C., R.J.S., D.C.P., P.S., J.J., J.P.C., J.M.G.)
| | - Lingyan Chen
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
| | - James R. Staley
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
| | - Natalie Staplin
- Medical Research Council Population Health Research Unit, Clinical Trial Service Unit and Epidemiological Studies Unit (N.S., C.B.), Nuffield Department of Population Health, University of Oxford, UK
| | - Servet Altay
- Department of Cardiology, Trakya University School of Medicine, Edirne, Turkey (S.A.)
| | - Pilar Amiano
- Ministry of Health of the Basque Government, Sub Directorate for Public Health and Addictions of Gipuzkoa, San Sebastián, Spain (P.A.)
- Biodonostia Health Research Institute, Epidemiology of Chronic and Communicable Diseases Group, San Sebastián, Spain (P.A.)
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain (P.A., A.G.d.l.C., D.P., C. Santiuste)
| | - Volker Arndt
- Division of Clinical Epidemiology and Aging Research (V.A.), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Johan Ärnlöv
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA (L.G., K.C., R.J.S., D.C.P., P.S., J.J., J.P.C., J.M.G.)
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital (A.M.M., S. Burgess, J.D., A.M.W., A.S.B., E.D.A.)
- Heart and Lung Research Institute, University of Cambridge, Cambridge UK (L.G., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., E.A., L. Pennells, M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Medical Research Council Biostatistics Unit (A.M.M., S. Burgess), University of Cambridge, UK
- Stroke Research Group, Department of Clinical Neurosciences (S. Bell), University of Cambridge, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Behaviour (S. Bell, T.R.B., E.A., J.D., A.S.B., A.M.W., E.D.A.), University of Cambridge, UK
- MRC Epidemiology Unit, School of Clinical Medicine (C.L., N.W.), University of Cambridge, UK
- Division of Aging (K.C., S.P., J.P.C. J.M.G.), Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Division of Cardiovascular Medicine (J.J., T.A.G.), Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Department of Epidemiology, Boston University School of Public Health, MA (R.J.S.)
- Division of Nephrology, Department of Medicine (C.R.-C., E.A.A.), Vanderbilt University Medical Center, Nashville, TN
- Department of Biostatistics (R. Tao), Vanderbilt University Medical Center, Nashville, TN
- Medical Research Council Population Health Research Unit, Clinical Trial Service Unit and Epidemiological Studies Unit (N.S., C.B.), Nuffield Department of Population Health, University of Oxford, UK
- Cancer Epidemiology Unit (T.T.), Nuffield Department of Population Health, University of Oxford, UK
- Department of Cardiology, Trakya University School of Medicine, Edirne, Turkey (S.A.)
- Ministry of Health of the Basque Government, Sub Directorate for Public Health and Addictions of Gipuzkoa, San Sebastián, Spain (P.A.)
- Biodonostia Health Research Institute, Epidemiology of Chronic and Communicable Diseases Group, San Sebastián, Spain (P.A.)
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain (P.A., A.G.d.l.C., D.P., C. Santiuste)
- Division of Clinical Epidemiology and Aging Research (V.A.), German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Cancer Epidemiology (S.K.J., R.K., V.K.), German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Family Medicine and Primary Care, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet, Stockholm, Sweden (J.A., H.B.)
- School of Health and Social Studies, Dalarna University, Falun, Sweden (J.A.)
- Wellbeing & Preventable Chronic Diseases (WPCD) Division, Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia (E.L.M.B.)
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia (E.L.M.B., M.I.)
- Institute of Medicine, School of Public Health and Community Medicine (C.B.), Sahlgrenska Academy, University of Gothenburg, Sweden
- Institute of Medicine, Department of Molecular and Clinical Medicine (P.-O.H., A.R.), Sahlgrenska Academy, University of Gothenburg, Sweden
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands (J.M.A.B., W.M.M.V.)
- Network Aging Research (NAR), Heidelberg University, Germany (H.B.)
- Studium Patavinum (E.C.), University of Padua, Italy
- Department of Medicine (V.T.), University of Padua, Italy
- Dipartimento di Salute Mentale e Fisica e Medicina Preventiva, Università degli Studi della Campania ‘Luigi Vanvitelli’, Caserta, Italy (P.C.)
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, UK (J.A.C.)
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (J.C.)
- Larner College of Medicine, The University of Vermont, Burlington (M.C.)
- The Gertner Institute for Epidemiology and Health Policy Research, Sheba Medical Center, Tel Hashomer, Israel (R.D.)
- School of Public Health, Department of Epidemiology and Preventive Medicine, Tel Aviv University, Ramat Aviv, Tel Aviv, Israel (R.D.)
- Feinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, NY (R.D., K.W.D.)
- Amsterdam University Medical Centers, VUMC, the Netherlands (R.T.d.J.)
- Department of Cardiovascular, Endocrine-metabolic Diseases and Aging, Istituto Superiore di Sanità, Rome, Italy (C.D., L. Palmer)
- Department of Clinical Sciences, Malmö, Lund University, Sweden (G.E., O.M.)
- International Agency for Research on Cancer (IARC), World Health Organization, Lyon, France (H.F., E.W.)
- 12 Octubre Hospital Research Institute, Madrid, Spain (A.G.d,l,C.)
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland and Icelandic Heart Association, Kopavogur, Iceland (V.G.)
- Medical School Faculty of Health & Medical Sciences, The University of Western Australia, Perth, WA, Australia (G.J.H.)
- Region Västra Götaland, Sahlgrenska University Hospital, Department of Medicine Geriatrics and Emergency Medicine/Östra, Gothenburg, Sweden (P.-O.H., A.R.)
- School of Public Health (A.K.H., I.T., E.R.), Imperial College London, UK
- The George Institute for Global Health (M.W.), Imperial College London, UK
- Department of Internal Medicine, Division of Nephrology and Transplantation, Erasmus MC, University Medical Center Rotterdam, the Netherlands (E.J.H.)
- Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Suita, Japan (H.I.)
- University of Eastern Finland (UEF), Kuopio, Finland (J.K.)
- Department of Neurology & Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria (S.K.)
- Clinical Epidemiology Team, Institute of Health Economics, Medical University of Innsbruck, Innsbruck, Austria (S.K., P.W.)
- Institute of Epidemiology and Medical Biometry, University of Ulm, Germany (W.K.)
- Deutsches Herzzentrum München, Technische Universität München, Germany (W.K.)
- German Centre for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance (W.K.)
- School of Public Health, University of Washington, Seattle (R.A.K.)
- Danish Cancer Society Research Center, Copenhagen, Denmark (C.K., A.T.)
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, UK (D.A.L.)
- Population Health Science, Bristol Medical School, UK (D.A.L.)
- Department of Surgical and Perioperative sciences, Urology and Andrology, Umeå University, Sweden (B.L.)
- University Paris-Saclay, UVSQ, Inserm, Villejuif, France (C. MacDonald)
- Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy (G.M.)
- Helmholtz Zentrum München, Munich, Germany (C. Meisinger)
- Navarra Public Health Institute, IdiSNA, Pamplona, Spain (C.M.I.)
- Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Pamplona, Spain (C.M.I.)
- Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (T.N.)
- London School of Hygiene & Tropical Medicine, UK (D.N.)
- Herlev and Gentofte Hospital (B.G.N.), Copenhagen University Hospital, Copenhagen, Denmark
- Frederiksberg Hospital B.G.N.), Copenhagen University Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences (B.G.N.), University of Copenhagen, Denmark
- Department of Public Health (A.T.), University of Copenhagen, Denmark
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, the Netherlands (C.O.-M., Y.T.v.d.S., W.M.M.V.)
- Escuela Andaluza de Salud Pública (EASP), Granada, Spain (D.P.)
- Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain (D.P.)
- Consejería de Sanidad del Principado de Asturias Oviedo, Asturias, Spain (J.R.Q.G.)
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital, Turin, Italy (C. Sacerdote)
- Department of Social and Environmental Medicine, Kanazawa Medical University, Uchinada, Japan (M.S.)
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Spain (C. Santiuste)
- German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany (M.B.S.)
- German Center for Diabetes Research (DZD), Neuherberg, Germany (M.B.S.)
- Institute of Nutritional Science, University of Potsdam, Germany (M.B.S.)
- Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milano, Italy (S.S.)
- Department of Medical Sciences, Uppsala University, Sweden (J.S.)
- Hyblean Association for Epidemiological Reserach AIRE - ONLUS, Ragusa, Italy (R.T.)
- Universitätsmedizin Greifswald, Institut für Community Medicine, Abteilung SHIP/ Klinisch-Epidemiologische Forschung, Germany (H.V.)
- College of Public Health, University of Iowa (R.B.W.)
- University College London, UK (S.G.W.)
- The George Institute for Global Health, Camperdown, NSW, Australia (M.W.)
- Department of Public Health Medicine, Faculty of Medicine, and Health Services Research and Development Center, University of Tsukuba, Japan (K.Y.)
- Unit of Nutrition and Cancer, Epidemiology Research Program, Catalan Institute of Oncology, Bellvitge Biomedical Research Institute (IDIBELL), L’Hospitalet de Llobregat (Barcelona), Spain (R.Z.-R.)
- Center for Data and Computational Sciences, VA Boston Healthcare System, Boston, MA (S.P.)
- Department of Biostatistics, Boston University School of Public Health, MA (D.R.G.)
- VA Pal Alto Epidemiology Research and Information Center for Genomics, VA Palo Alto Health Care System, CA (P.S.T.)
- Medicine (Cardiovascular Medicine), Stanford University of School of Medicine, CA (P.S.T.)
- Office of Research and Development, Veterans Health Administration, Washington, DC (S.M.)
- Department of Veterans Affairs, Tennessee Valley Health Care System, Vanderbilt University, Nashville (T.L.E.)
- Medicine/Epidemiology, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN (T.L.E.)
- Department of Surgery, Corporal Michael Crescenz VA Medical Center and Perelman School of Medicine, University of Pennsylvania, Philadelphia (S.M.D.)
- Internal Medicine, VA Atlanta Healthcare System, Decatur, GA (P.W.F.W.)
- Emory University School of Medicine (Cardiology), Emory University, Atlanta, GA (P.W.F.W.)
- Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA (T.A.G.)
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, UK (M.I., J.D., A.S.B., A.M.W., E.D.A.)
- The Alan Turing Institute, London, UK (M.I.)
- Computational Medicine, Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Germany (C.L.)
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, UK (J.D.)
- Division of Nephrology & Hypertension, Department of Medicine, Tennessee Valley Health Care System and Vanderbilt University Medical Center, Nashville (A.M.H.)
- Cambridge Centre for AI in Medicine, UK (A.M.W.)
- Health Data Science Centre, Human Technopole, Milan, Italy (E.D.A.)
| | - Elizabeth L.M. Barr
- Wellbeing & Preventable Chronic Diseases (WPCD) Division, Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia (E.L.M.B.)
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia (E.L.M.B., M.I.)
| | - Cecilia Björkelund
- Medical Research Council Population Health Research Unit, Clinical Trial Service Unit and Epidemiological Studies Unit (N.S., C.B.), Nuffield Department of Population Health, University of Oxford, UK
| | - Jolanda M.A. Boer
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands (J.M.A.B., W.M.M.V.)
| | - Hermann Brenner
- Division of Family Medicine and Primary Care, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet, Stockholm, Sweden (J.A., H.B.)
- Network Aging Research (NAR), Heidelberg University, Germany (H.B.)
| | | | - Paolo Chiodini
- Dipartimento di Salute Mentale e Fisica e Medicina Preventiva, Università degli Studi della Campania ‘Luigi Vanvitelli’, Caserta, Italy (P.C.)
| | - Jackie A. Cooper
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, UK (J.A.C.)
| | - Josef Coresh
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (J.C.)
| | - Mary Cushman
- Larner College of Medicine, The University of Vermont, Burlington (M.C.)
| | - Rachel Dankner
- The Gertner Institute for Epidemiology and Health Policy Research, Sheba Medical Center, Tel Hashomer, Israel (R.D.)
- School of Public Health, Department of Epidemiology and Preventive Medicine, Tel Aviv University, Ramat Aviv, Tel Aviv, Israel (R.D.)
- Feinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, NY (R.D., K.W.D.)
| | - Karina W. Davidson
- Feinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, NY (R.D., K.W.D.)
| | | | - Chiara Donfrancesco
- Department of Cardiovascular, Endocrine-metabolic Diseases and Aging, Istituto Superiore di Sanità, Rome, Italy (C.D., L. Palmer)
| | - Gunnar Engström
- Department of Clinical Sciences, Malmö, Lund University, Sweden (G.E., O.M.)
| | - Heinz Freisling
- International Agency for Research on Cancer (IARC), World Health Organization, Lyon, France (H.F., E.W.)
| | - Agustín Gómez de la Cámara
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain (P.A., A.G.d.l.C., D.P., C. Santiuste)
- 12 Octubre Hospital Research Institute, Madrid, Spain (A.G.d,l,C.)
| | - Vilmundur Gudnason
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland and Icelandic Heart Association, Kopavogur, Iceland (V.G.)
| | - Graeme J. Hankey
- Medical School Faculty of Health & Medical Sciences, The University of Western Australia, Perth, WA, Australia (G.J.H.)
| | - Per-Olof Hansson
- Institute of Medicine, Department of Molecular and Clinical Medicine (P.-O.H., A.R.), Sahlgrenska Academy, University of Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Department of Medicine Geriatrics and Emergency Medicine/Östra, Gothenburg, Sweden (P.-O.H., A.R.)
| | - Alicia K. Heath
- School of Public Health (A.K.H., I.T., E.R.), Imperial College London, UK
| | - Ewout J. Hoorn
- Department of Internal Medicine, Division of Nephrology and Transplantation, Erasmus MC, University Medical Center Rotterdam, the Netherlands (E.J.H.)
| | - Hironori Imano
- Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Suita, Japan (H.I.)
| | - Simerjot K. Jassal
- Department of Cancer Epidemiology (S.K.J., R.K., V.K.), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Rudolf Kaaks
- Department of Cancer Epidemiology (S.K.J., R.K., V.K.), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Verena Katzke
- Department of Cancer Epidemiology (S.K.J., R.K., V.K.), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jussi Kauhanen
- University of Eastern Finland (UEF), Kuopio, Finland (J.K.)
| | - Stefan Kiechl
- Department of Neurology & Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria (S.K.)
- Clinical Epidemiology Team, Institute of Health Economics, Medical University of Innsbruck, Innsbruck, Austria (S.K., P.W.)
| | - Wolfgang Koenig
- Institute of Epidemiology and Medical Biometry, University of Ulm, Germany (W.K.)
- Deutsches Herzzentrum München, Technische Universität München, Germany (W.K.)
- German Centre for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance (W.K.)
| | | | - Cecilie Kyrø
- Danish Cancer Society Research Center, Copenhagen, Denmark (C.K., A.T.)
| | - Deborah A. Lawlor
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, UK (D.A.L.)
- Population Health Science, Bristol Medical School, UK (D.A.L.)
| | - Börje Ljungberg
- Department of Surgical and Perioperative sciences, Urology and Andrology, Umeå University, Sweden (B.L.)
| | - Conor MacDonald
- University Paris-Saclay, UVSQ, Inserm, Villejuif, France (C. MacDonald)
| | - Giovanna Masala
- Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy (G.M.)
| | | | - Olle Melander
- Department of Clinical Sciences, Malmö, Lund University, Sweden (G.E., O.M.)
| | - Conchi Moreno Iribas
- Navarra Public Health Institute, IdiSNA, Pamplona, Spain (C.M.I.)
- Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Pamplona, Spain (C.M.I.)
| | - Toshiharu Ninomiya
- Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (T.N.)
| | | | - Børge G. Nordestgaard
- Herlev and Gentofte Hospital (B.G.N.), Copenhagen University Hospital, Copenhagen, Denmark
- Frederiksberg Hospital B.G.N.), Copenhagen University Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences (B.G.N.), University of Copenhagen, Denmark
| | - Charlotte Onland-Moret
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, the Netherlands (C.O.-M., Y.T.v.d.S., W.M.M.V.)
| | - Luigi Palmieri
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA (L.G., K.C., R.J.S., D.C.P., P.S., J.J., J.P.C., J.M.G.)
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital (A.M.M., S. Burgess, J.D., A.M.W., A.S.B., E.D.A.)
- Heart and Lung Research Institute, University of Cambridge, Cambridge UK (L.G., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., E.A., L. Pennells, M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Medical Research Council Biostatistics Unit (A.M.M., S. Burgess), University of Cambridge, UK
- Stroke Research Group, Department of Clinical Neurosciences (S. Bell), University of Cambridge, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Behaviour (S. Bell, T.R.B., E.A., J.D., A.S.B., A.M.W., E.D.A.), University of Cambridge, UK
- MRC Epidemiology Unit, School of Clinical Medicine (C.L., N.W.), University of Cambridge, UK
- Division of Aging (K.C., S.P., J.P.C. J.M.G.), Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Division of Cardiovascular Medicine (J.J., T.A.G.), Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Department of Epidemiology, Boston University School of Public Health, MA (R.J.S.)
- Division of Nephrology, Department of Medicine (C.R.-C., E.A.A.), Vanderbilt University Medical Center, Nashville, TN
- Department of Biostatistics (R. Tao), Vanderbilt University Medical Center, Nashville, TN
- Medical Research Council Population Health Research Unit, Clinical Trial Service Unit and Epidemiological Studies Unit (N.S., C.B.), Nuffield Department of Population Health, University of Oxford, UK
- Cancer Epidemiology Unit (T.T.), Nuffield Department of Population Health, University of Oxford, UK
- Department of Cardiology, Trakya University School of Medicine, Edirne, Turkey (S.A.)
- Ministry of Health of the Basque Government, Sub Directorate for Public Health and Addictions of Gipuzkoa, San Sebastián, Spain (P.A.)
- Biodonostia Health Research Institute, Epidemiology of Chronic and Communicable Diseases Group, San Sebastián, Spain (P.A.)
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain (P.A., A.G.d.l.C., D.P., C. Santiuste)
- Division of Clinical Epidemiology and Aging Research (V.A.), German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Cancer Epidemiology (S.K.J., R.K., V.K.), German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Family Medicine and Primary Care, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet, Stockholm, Sweden (J.A., H.B.)
- School of Health and Social Studies, Dalarna University, Falun, Sweden (J.A.)
- Wellbeing & Preventable Chronic Diseases (WPCD) Division, Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia (E.L.M.B.)
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia (E.L.M.B., M.I.)
- Institute of Medicine, School of Public Health and Community Medicine (C.B.), Sahlgrenska Academy, University of Gothenburg, Sweden
- Institute of Medicine, Department of Molecular and Clinical Medicine (P.-O.H., A.R.), Sahlgrenska Academy, University of Gothenburg, Sweden
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands (J.M.A.B., W.M.M.V.)
- Network Aging Research (NAR), Heidelberg University, Germany (H.B.)
- Studium Patavinum (E.C.), University of Padua, Italy
- Department of Medicine (V.T.), University of Padua, Italy
- Dipartimento di Salute Mentale e Fisica e Medicina Preventiva, Università degli Studi della Campania ‘Luigi Vanvitelli’, Caserta, Italy (P.C.)
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, UK (J.A.C.)
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (J.C.)
- Larner College of Medicine, The University of Vermont, Burlington (M.C.)
- The Gertner Institute for Epidemiology and Health Policy Research, Sheba Medical Center, Tel Hashomer, Israel (R.D.)
- School of Public Health, Department of Epidemiology and Preventive Medicine, Tel Aviv University, Ramat Aviv, Tel Aviv, Israel (R.D.)
- Feinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, NY (R.D., K.W.D.)
- Amsterdam University Medical Centers, VUMC, the Netherlands (R.T.d.J.)
- Department of Cardiovascular, Endocrine-metabolic Diseases and Aging, Istituto Superiore di Sanità, Rome, Italy (C.D., L. Palmer)
- Department of Clinical Sciences, Malmö, Lund University, Sweden (G.E., O.M.)
- International Agency for Research on Cancer (IARC), World Health Organization, Lyon, France (H.F., E.W.)
- 12 Octubre Hospital Research Institute, Madrid, Spain (A.G.d,l,C.)
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland and Icelandic Heart Association, Kopavogur, Iceland (V.G.)
- Medical School Faculty of Health & Medical Sciences, The University of Western Australia, Perth, WA, Australia (G.J.H.)
- Region Västra Götaland, Sahlgrenska University Hospital, Department of Medicine Geriatrics and Emergency Medicine/Östra, Gothenburg, Sweden (P.-O.H., A.R.)
- School of Public Health (A.K.H., I.T., E.R.), Imperial College London, UK
- The George Institute for Global Health (M.W.), Imperial College London, UK
- Department of Internal Medicine, Division of Nephrology and Transplantation, Erasmus MC, University Medical Center Rotterdam, the Netherlands (E.J.H.)
- Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Suita, Japan (H.I.)
- University of Eastern Finland (UEF), Kuopio, Finland (J.K.)
- Department of Neurology & Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria (S.K.)
- Clinical Epidemiology Team, Institute of Health Economics, Medical University of Innsbruck, Innsbruck, Austria (S.K., P.W.)
- Institute of Epidemiology and Medical Biometry, University of Ulm, Germany (W.K.)
- Deutsches Herzzentrum München, Technische Universität München, Germany (W.K.)
- German Centre for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance (W.K.)
- School of Public Health, University of Washington, Seattle (R.A.K.)
- Danish Cancer Society Research Center, Copenhagen, Denmark (C.K., A.T.)
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, UK (D.A.L.)
- Population Health Science, Bristol Medical School, UK (D.A.L.)
- Department of Surgical and Perioperative sciences, Urology and Andrology, Umeå University, Sweden (B.L.)
- University Paris-Saclay, UVSQ, Inserm, Villejuif, France (C. MacDonald)
- Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy (G.M.)
- Helmholtz Zentrum München, Munich, Germany (C. Meisinger)
- Navarra Public Health Institute, IdiSNA, Pamplona, Spain (C.M.I.)
- Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Pamplona, Spain (C.M.I.)
- Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (T.N.)
- London School of Hygiene & Tropical Medicine, UK (D.N.)
- Herlev and Gentofte Hospital (B.G.N.), Copenhagen University Hospital, Copenhagen, Denmark
- Frederiksberg Hospital B.G.N.), Copenhagen University Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences (B.G.N.), University of Copenhagen, Denmark
- Department of Public Health (A.T.), University of Copenhagen, Denmark
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, the Netherlands (C.O.-M., Y.T.v.d.S., W.M.M.V.)
- Escuela Andaluza de Salud Pública (EASP), Granada, Spain (D.P.)
- Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain (D.P.)
- Consejería de Sanidad del Principado de Asturias Oviedo, Asturias, Spain (J.R.Q.G.)
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital, Turin, Italy (C. Sacerdote)
- Department of Social and Environmental Medicine, Kanazawa Medical University, Uchinada, Japan (M.S.)
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Spain (C. Santiuste)
- German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany (M.B.S.)
- German Center for Diabetes Research (DZD), Neuherberg, Germany (M.B.S.)
- Institute of Nutritional Science, University of Potsdam, Germany (M.B.S.)
- Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milano, Italy (S.S.)
- Department of Medical Sciences, Uppsala University, Sweden (J.S.)
- Hyblean Association for Epidemiological Reserach AIRE - ONLUS, Ragusa, Italy (R.T.)
- Universitätsmedizin Greifswald, Institut für Community Medicine, Abteilung SHIP/ Klinisch-Epidemiologische Forschung, Germany (H.V.)
- College of Public Health, University of Iowa (R.B.W.)
- University College London, UK (S.G.W.)
- The George Institute for Global Health, Camperdown, NSW, Australia (M.W.)
- Department of Public Health Medicine, Faculty of Medicine, and Health Services Research and Development Center, University of Tsukuba, Japan (K.Y.)
- Unit of Nutrition and Cancer, Epidemiology Research Program, Catalan Institute of Oncology, Bellvitge Biomedical Research Institute (IDIBELL), L’Hospitalet de Llobregat (Barcelona), Spain (R.Z.-R.)
- Center for Data and Computational Sciences, VA Boston Healthcare System, Boston, MA (S.P.)
- Department of Biostatistics, Boston University School of Public Health, MA (D.R.G.)
- VA Pal Alto Epidemiology Research and Information Center for Genomics, VA Palo Alto Health Care System, CA (P.S.T.)
- Medicine (Cardiovascular Medicine), Stanford University of School of Medicine, CA (P.S.T.)
- Office of Research and Development, Veterans Health Administration, Washington, DC (S.M.)
- Department of Veterans Affairs, Tennessee Valley Health Care System, Vanderbilt University, Nashville (T.L.E.)
- Medicine/Epidemiology, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN (T.L.E.)
- Department of Surgery, Corporal Michael Crescenz VA Medical Center and Perelman School of Medicine, University of Pennsylvania, Philadelphia (S.M.D.)
- Internal Medicine, VA Atlanta Healthcare System, Decatur, GA (P.W.F.W.)
- Emory University School of Medicine (Cardiology), Emory University, Atlanta, GA (P.W.F.W.)
- Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA (T.A.G.)
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, UK (M.I., J.D., A.S.B., A.M.W., E.D.A.)
- The Alan Turing Institute, London, UK (M.I.)
- Computational Medicine, Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Germany (C.L.)
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, UK (J.D.)
- Division of Nephrology & Hypertension, Department of Medicine, Tennessee Valley Health Care System and Vanderbilt University Medical Center, Nashville (A.M.H.)
- Cambridge Centre for AI in Medicine, UK (A.M.W.)
- Health Data Science Centre, Human Technopole, Milan, Italy (E.D.A.)
| | - Dafina Petrova
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain (P.A., A.G.d.l.C., D.P., C. Santiuste)
- Escuela Andaluza de Salud Pública (EASP), Granada, Spain (D.P.)
- Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain (D.P.)
| | | | - Annika Rosengren
- Institute of Medicine, Department of Molecular and Clinical Medicine (P.-O.H., A.R.), Sahlgrenska Academy, University of Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Department of Medicine Geriatrics and Emergency Medicine/Östra, Gothenburg, Sweden (P.-O.H., A.R.)
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital, Turin, Italy (C. Sacerdote)
| | - Masaru Sakurai
- Department of Social and Environmental Medicine, Kanazawa Medical University, Uchinada, Japan (M.S.)
| | - Carmen Santiuste
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain (P.A., A.G.d.l.C., D.P., C. Santiuste)
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Spain (C. Santiuste)
| | - Matthias B. Schulze
- German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany (M.B.S.)
- German Center for Diabetes Research (DZD), Neuherberg, Germany (M.B.S.)
- Institute of Nutritional Science, University of Potsdam, Germany (M.B.S.)
| | - Sabina Sieri
- Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milano, Italy (S.S.)
| | - Johan Sundström
- Department of Medical Sciences, Uppsala University, Sweden (J.S.)
| | | | - Anne Tjønneland
- Danish Cancer Society Research Center, Copenhagen, Denmark (C.K., A.T.)
- Department of Public Health (A.T.), University of Copenhagen, Denmark
| | - Tammy Tong
- Cancer Epidemiology Unit (T.T.), Nuffield Department of Population Health, University of Oxford, UK
| | - Rosario Tumino
- Hyblean Association for Epidemiological Reserach AIRE - ONLUS, Ragusa, Italy (R.T.)
| | - Ioanna Tzoulaki
- School of Public Health (A.K.H., I.T., E.R.), Imperial College London, UK
| | - Yvonne T. van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, the Netherlands (C.O.-M., Y.T.v.d.S., W.M.M.V.)
| | - W.M. Monique Verschuren
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands (J.M.A.B., W.M.M.V.)
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, the Netherlands (C.O.-M., Y.T.v.d.S., W.M.M.V.)
| | - Henry Völzke
- Universitätsmedizin Greifswald, Institut für Community Medicine, Abteilung SHIP/ Klinisch-Epidemiologische Forschung, Germany (H.V.)
| | | | | | - Elisabete Weiderpass
- International Agency for Research on Cancer (IARC), World Health Organization, Lyon, France (H.F., E.W.)
| | - Peter Willeit
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Clinical Epidemiology Team, Institute of Health Economics, Medical University of Innsbruck, Innsbruck, Austria (S.K., P.W.)
| | - Mark Woodward
- The George Institute for Global Health, Camperdown, NSW, Australia (M.W.)
| | - Kazumasa Yamagishi
- Department of Public Health Medicine, Faculty of Medicine, and Health Services Research and Development Center, University of Tsukuba, Japan (K.Y.)
| | - Raul Zamora-Ros
- Unit of Nutrition and Cancer, Epidemiology Research Program, Catalan Institute of Oncology, Bellvitge Biomedical Research Institute (IDIBELL), L’Hospitalet de Llobregat (Barcelona), Spain (R.Z.-R.)
| | - Elvis A. Akwo
- Division of Nephrology, Department of Medicine (C.R.-C., E.A.A.), Vanderbilt University Medical Center, Nashville, TN
| | - Saiju Pyarajan
- Division of Aging (K.C., S.P., J.P.C. J.M.G.), Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Center for Data and Computational Sciences, VA Boston Healthcare System, Boston, MA (S.P.)
| | - David R. Gagnon
- Department of Biostatistics, Boston University School of Public Health, MA (D.R.G.)
| | - Philip S. Tsao
- VA Pal Alto Epidemiology Research and Information Center for Genomics, VA Palo Alto Health Care System, CA (P.S.T.)
- Medicine (Cardiovascular Medicine), Stanford University of School of Medicine, CA (P.S.T.)
| | - Sumitra Muralidhar
- Office of Research and Development, Veterans Health Administration, Washington, DC (S.M.)
| | - Todd L. Edwards
- Department of Veterans Affairs, Tennessee Valley Health Care System, Vanderbilt University, Nashville (T.L.E.)
- Medicine/Epidemiology, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN (T.L.E.)
| | - Scott M. Damrauer
- Department of Surgery, Corporal Michael Crescenz VA Medical Center and Perelman School of Medicine, University of Pennsylvania, Philadelphia (S.M.D.)
| | - Jacob Joseph
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA (L.G., K.C., R.J.S., D.C.P., P.S., J.J., J.P.C., J.M.G.)
- Division of Cardiovascular Medicine (J.J., T.A.G.), Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Lisa Pennells
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Heart and Lung Research Institute, University of Cambridge, Cambridge UK (L.G., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., E.A., L. Pennells, M.I., J.D., A.S.B., A.M.W., E.D.A.)
| | - Peter W.F. Wilson
- Internal Medicine, VA Atlanta Healthcare System, Decatur, GA (P.W.F.W.)
- Emory University School of Medicine (Cardiology), Emory University, Atlanta, GA (P.W.F.W.)
| | - Seamus Harrison
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
| | - Thomas A. Gaziano
- Division of Cardiovascular Medicine (J.J., T.A.G.), Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA (T.A.G.)
| | - Michael Inouye
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Heart and Lung Research Institute, University of Cambridge, Cambridge UK (L.G., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., E.A., L. Pennells, M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia (E.L.M.B., M.I.)
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, UK (M.I., J.D., A.S.B., A.M.W., E.D.A.)
- The Alan Turing Institute, London, UK (M.I.)
| | - Colin Baigent
- Institute of Medicine, School of Public Health and Community Medicine (C.B.), Sahlgrenska Academy, University of Gothenburg, Sweden
| | - Juan P. Casas
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA (L.G., K.C., R.J.S., D.C.P., P.S., J.J., J.P.C., J.M.G.)
- Division of Aging (K.C., S.P., J.P.C. J.M.G.), Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Claudia Langenberg
- MRC Epidemiology Unit, School of Clinical Medicine (C.L., N.W.), University of Cambridge, UK
- Computational Medicine, Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Germany (C.L.)
| | - Nick Wareham
- MRC Epidemiology Unit, School of Clinical Medicine (C.L., N.W.), University of Cambridge, UK
| | - Elio Riboli
- The George Institute for Global Health (M.W.), Imperial College London, UK
| | - J.Michael Gaziano
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA (L.G., K.C., R.J.S., D.C.P., P.S., J.J., J.P.C., J.M.G.)
- Division of Aging (K.C., S.P., J.P.C. J.M.G.), Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - John Danesh
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital (A.M.M., S. Burgess, J.D., A.M.W., A.S.B., E.D.A.)
- Heart and Lung Research Institute, University of Cambridge, Cambridge UK (L.G., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., E.A., L. Pennells, M.I., J.D., A.S.B., A.M.W., E.D.A.)
- NIHR Blood and Transplant Research Unit in Donor Health and Behaviour (S. Bell, T.R.B., E.A., J.D., A.S.B., A.M.W., E.D.A.), University of Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, UK (M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, UK (J.D.)
| | - Adriana M. Hung
- Division of Nephrology & Hypertension, Department of Medicine, Tennessee Valley Health Care System and Vanderbilt University Medical Center, Nashville (A.M.H.)
| | - Adam S. Butterworth
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital (A.M.M., S. Burgess, J.D., A.M.W., A.S.B., E.D.A.)
- Heart and Lung Research Institute, University of Cambridge, Cambridge UK (L.G., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., E.A., L. Pennells, M.I., J.D., A.S.B., A.M.W., E.D.A.)
- NIHR Blood and Transplant Research Unit in Donor Health and Behaviour (S. Bell, T.R.B., E.A., J.D., A.S.B., A.M.W., E.D.A.), University of Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, UK (M.I., J.D., A.S.B., A.M.W., E.D.A.)
| | - Angela M. Wood
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital (A.M.M., S. Burgess, J.D., A.M.W., A.S.B., E.D.A.)
- Heart and Lung Research Institute, University of Cambridge, Cambridge UK (L.G., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., E.A., L. Pennells, M.I., J.D., A.S.B., A.M.W., E.D.A.)
- NIHR Blood and Transplant Research Unit in Donor Health and Behaviour (S. Bell, T.R.B., E.A., J.D., A.S.B., A.M.W., E.D.A.), University of Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, UK (M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Cambridge Centre for AI in Medicine, UK (A.M.W.)
| | - Emanuele Di Angelantonio
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care (L.G., L.S., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., T.R.B., E.A., L.C., J.R.S., P.W., L. Pennells, S.H., M.I., J.D., A.S.B., A.M.W., E.D.A.)
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke’s Hospital (A.M.M., S. Burgess, J.D., A.M.W., A.S.B., E.D.A.)
- Heart and Lung Research Institute, University of Cambridge, Cambridge UK (L.G., S. Bell, S.K.K., S. Burgess, K.M., A.M.M., E.A., L. Pennells, M.I., J.D., A.S.B., A.M.W., E.D.A.)
- NIHR Blood and Transplant Research Unit in Donor Health and Behaviour (S. Bell, T.R.B., E.A., J.D., A.S.B., A.M.W., E.D.A.), University of Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, UK (M.I., J.D., A.S.B., A.M.W., E.D.A.)
- Health Data Science Centre, Human Technopole, Milan, Italy (E.D.A.)
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9
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Vasan RS, Song RJ, van den Heuvel ER. Temporal Trends in Incidence of Premature Cardiovascular Disease Over the Past 7 Decades: The Framingham Heart Study. J Am Heart Assoc 2022; 11:e026497. [PMID: 36172970 DOI: 10.1161/jaha.122.026497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background Premature onset of cardiovascular disease (CVD) imposes a significant societal burden and challenges prevention efforts. Methods and Results Trends in the incidence of premature CVD (before age 55, 60, or 65 years, separate analysis for each threshold) were evaluated in 14 464 Framingham Heart Study participants over 7 decades of observation (1950-2019). The change in the incidence of premature CVD (per decade) in men and women was assessed using overdispersed Poisson regression (accounting for cohort effects), adjusting for age at entry and age at onset of premature CVD within each decade. CVD was defined as a composite of fatal or nonfatal coronary heart disease, stroke or transient ischemic attack, peripheral vascular disease, and heart failure. There were 2223 first CVD events (832 in women) before age 65 years during 282 481 person-years of observations (154 587 in women) between 1950 and 2019. The age-adjusted CVD incidence before age 65 years decreased from 14.8 per 1000 person-years (1950-1959) to 4.69 per 1000 person-years (2010-2019) in men and from 7.23 per 1000 person-years (1950-1959) to 1.73 per 1000 person-years (2010-2019) in women. In adjusted analyses, the incidence of premature CVD decreased per decade in men (18.4% [95% CI, 12.0%-24.0%], for onset before age 55 years; 19.5% [95% CI, 12.0%-27.0%], for onset before age 60 years; 21.3% [95% CI, 16.0%-27.0%], for onset before age 65 years) and women (15.1% [95% CI, 7.0%-22.0%], for onset before age 55 years; 14.0% [95% CI, 6.0%-22.0%], for onset before age 60 years; 18.2% [95% CI, 12.0%-24.0%], for onset before age 65 years). The decline in premature CVD was accompanied by a reduction in smoking and increased use of lipid-lowering treatments across the decades. Incidence of premature coronary heart disease decreased, whereas the contribution of stroke to premature CVD burden increased over time. Conclusions The incidence of premature CVD has decreased among White adults in the Framingham cohort over the past 70 years; the residual burden of premature stroke warrants further study. Additional studies of trends in premature CVD in more racially and geographically diverse populations are warranted to elucidate the generalizability of these findings.
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Affiliation(s)
- Ramachandran S Vasan
- Section of Preventive Medicine and Epidemiology Boston University School of Medicine Boston MA.,Framingham Heart Study Framingham MA.,Department of Epidemiology Boston University School of Public Health Boston MA.,University of Texas School of Public Health San Antonio TX
| | - Rebecca J Song
- Department of Epidemiology Boston University School of Public Health Boston MA
| | - Edwin R van den Heuvel
- Section of Preventive Medicine and Epidemiology Boston University School of Medicine Boston MA.,Department of Biostatistics Boston University School of Public Health Boston MA.,Department of Mathematics and Computer Science Eindhoven University of Technology Eindhoven the Netherlands
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10
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Kaplan RC, Song RJ, Lin J, Xanthakis V, Hua S, Chernofsky A, Evenson KR, Walker ME, Cuthbertson C, Murabito JM, Cordero C, Daviglus M, Perreira KM, Gellman M, Sotres-Alvarez D, Vasan RS, Xue X, Spartano NL, Mossavar-Rahmani Y. Predictors of incident diabetes in two populations: framingham heart study and hispanic community health study / study of latinos. BMC Public Health 2022; 22:1053. [PMID: 35619100 PMCID: PMC9137165 DOI: 10.1186/s12889-022-13463-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Accepted: 05/12/2022] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND Non-genetic factors contribute to differences in diabetes risk across race/ethnic and socioeconomic groups, which raises the question of whether effects of predictors of diabetes are similar across populations. We studied diabetes incidence in the primarily non-Hispanic White Framingham Heart Study (FHS, N = 4066) and the urban, largely immigrant Hispanic Community Health Study/Study of Latinos (HCHS/SOL, N = 6891) Please check if the affiliations are captured and presented correctly. METHODS Clinical, behavioral, and socioeconomic characteristics were collected at in-person examinations followed by seven-day accelerometry. Among individuals without diabetes, Cox proportional hazards regression models (both age- and sex-adjusted, and then multivariable-adjusted for all candidate predictors) identified predictors of incident diabetes over a decade of follow-up, defined using clinical history or laboratory assessments. RESULTS Four independent predictors were shared between FHS and HCHS/SOL. In each cohort, the multivariable-adjusted hazard of diabetes increased by approximately 50% for every ten-year increment of age and every five-unit increment of body mass index (BMI), and was 50-70% higher among hypertensive than among non-hypertensive individuals (all P < 0.01). Compared with full-time employment status, the multivariable-adjusted hazard ratio (HR) and 95% confidence interval (CI) for part-time employment was 0.61 (0.37,1.00) in FHS and 0.62 (0.41,0.95) in HCHS/SOL. Moderate-to-vigorous physical activity (MVPA) was an additional predictor in common observed in age- and sex-adjusted models, which did not persist after adjustment for other covariates (compared with MVPA ≤ 5 min/day, HR for MVPA level ≥ 30 min/day was 0.48 [0.31,0.74] in FHS and 0.74 [0.56,0.97] in HCHS/SOL). Additional predictors found in sex- and age-adjusted analyses among the FHS participants included male gender and lower education, but these predictors were not found to be independent of others in multivariable adjusted models, nor were they associated with diabetes risk among HCHS/SOL adults. CONCLUSIONS The same four independent predictors - age, body mass index, hypertension and employment status - were associated with diabetes risk across two disparate US populations. While the reason for elevated diabetes risk in full-time workers is unclear, the findings suggest that diabetes may be part of the work-related burden of disease. Our findings also support prior evidence that differences by gender and socioeconomic position in diabetes risk are not universally present across populations.
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Affiliation(s)
- Robert C Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue. Belfer building, Room 1315, Bronx, NY, 10461, USA.
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
| | - Rebecca J Song
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Juan Lin
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue. Belfer building, Room 1315, Bronx, NY, 10461, USA
| | - Vanessa Xanthakis
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Simin Hua
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue. Belfer building, Room 1315, Bronx, NY, 10461, USA
| | | | - Kelly R Evenson
- Department of Epidemiology Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Maura E Walker
- Department of Health Sciences, Boston University College of Health & Rehabilitation Sciences, Boston, MA, USA
| | - Carmen Cuthbertson
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Joanne M Murabito
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Christina Cordero
- Department of Psychology, Don Soffer Clinical Research Center, University of Miami, Miami, FL, USA
| | - Martha Daviglus
- Institute for Minority Health Research, University of Illinois at Chicago, Chicago, IL, USA
| | - Krista M Perreira
- Department of Social Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Marc Gellman
- Department of Psychology, University of Miami, Miami, FL, USA
| | - Daniela Sotres-Alvarez
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | | - Xiaonan Xue
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue. Belfer building, Room 1315, Bronx, NY, 10461, USA
| | - Nicole L Spartano
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Yasmin Mossavar-Rahmani
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue. Belfer building, Room 1315, Bronx, NY, 10461, USA
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11
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Bourdillon MT, Gaye B, Song RJ, Vasan RS, Xanthakis V. Notable paradoxical phenomena in associations between cardiovascular health score, subclinical and clinical cardiovascular disease in the community: The Framingham Heart Study. PLoS One 2022; 17:e0267267. [PMID: 35511823 PMCID: PMC9070900 DOI: 10.1371/journal.pone.0267267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Accepted: 04/05/2022] [Indexed: 11/20/2022] Open
Abstract
Importance Cardiovascular Health (CVH) scores are inversely associated with prevalent subclinical (SubDz) and incident cardiovascular disease (CVD). However, the majority of people who develop CVD have intermediate or ideal CVH scores, while many with poor CVH profiles escape CVD development. Objective To describe the prevalence of paradoxical relations among CVH, SubDz, and CVD. Design Cohort study, Framingham Study data collected prospectively (1995–2016). Setting Population-based. Participants 7,627 participants (mean age 49 years, 53% women) attending Offspring examinations 6/7 and Third Generation examinations 1/2. Exposures CVH score (range 0–14) constructed from poor, intermediate, or ideal status for each metric (smoking, diet, physical activity, blood pressure, body mass index, fasting glucose, total cholesterol); and prevalent SubDz (≥1 of: increased carotid intimal media thickness, CIMT; left ventricular hypertrophy, LVH; microalbuminuria, MA; elevated ankle brachial index, ABI; coronary artery calcium score ≥100,CAC). Main outcome(s) and measure(s) Ideal CVH (scores 12–14), intermediate CVH (scores 8–11), and poor CVH (0–7). We described three distinct paradoxical phenomena, involving combinations of CVH, SubDz, and CVD, and generated CVD incidence rates and predicted CVD probabilities for all combinations. Results We observed 842 CVD events (median follow-up 13.7 years); 1,663 participants had SubDz. Most individuals with poor CVH (78%) or SubDz (57% for CIMT to 77% for LVH) did not develop CVD on follow-up. Among participants with incident CVD, the majority had intermediate or ideal CVH (68%) or absent SubDz (46% for CAC to 96% for ABI) at baseline. We observed similar paradoxical results in relations between CVH and prevalent SubDz. Poor CVH and prevalent SubDz were each associated with higher CVD incidence rates compared to intermediate or ideal CVH and absent SubDz, respectively. The predicted CVD probability was nearly three-times greater among participants with poor (22%) versus intermediate or ideal CVH (8%). Mean CVD predicted probabilities were nearly three (26% vs. 10% for MA) to six-times (29% vs. 5% for CAC) greater among participants with SubDz versus without SubDz. Findings were consistent within age and sex strata. Conclusions and relevance Although poor CVH and SubDz presence are associated with CVD incidence, paradoxical phenomena involving CVH, SubDz, and CVD are frequently prevalent in the community. Further studies to elucidate biological mechanisms underlying these phenomena are warranted.
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Affiliation(s)
| | - Bamba Gaye
- INSERM, U970, Paris Cardiovascular Research Center, University Paris Descartes, Sorbonne Paris Cité, Paris, France
| | - Rebecca J. Song
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, United States of America
| | - Ramachandran S. Vasan
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, United States of America
- Department of Medicine, Section of Preventive Medicine and Epidemiology, Boston University School of Medicine, Boston, MA, United States of America
- Section of Cardiology, Boston University School of Medicine, Boston, MA, United States of America
- Center for Computing and Data Sciences, Boston University, Boston, MA, United States of America
- Boston University’s and National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, MA, United States of America
| | - Vanessa Xanthakis
- Department of Medicine, Section of Preventive Medicine and Epidemiology, Boston University School of Medicine, Boston, MA, United States of America
- Boston University’s and National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, MA, United States of America
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States of America
- * E-mail:
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12
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Whitbourne SB, Nguyen XMT, Song RJ, Lord E, Lyden M, Harrington KM, Ward R, Li Y, Brewer JVV, Cho KM, Djousse L, Muralidhar S, Tsao PS, Gaziano JM, Casas JP. Million Veteran Program’s response to COVID-19: Survey development and preliminary findings. PLoS One 2022; 17:e0266381. [PMID: 35468170 PMCID: PMC9037905 DOI: 10.1371/journal.pone.0266381] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 03/18/2022] [Indexed: 11/25/2022] Open
Abstract
Background In response to the novel Coronavirus Disease 2019 (COVID-19) pandemic, the Department of Veterans Affairs (VA) Million Veteran Program (MVP) organized efforts to better understand the impact of COVID-19 on Veterans by developing and deploying a self-reported survey. Methods The MVP COVID-19 Survey was developed to collect COVID-19 specific elements including symptoms, diagnosis, hospitalization, behavioral and psychosocial factors and to augment existing MVP data with longitudinal collection of key domains in physical and mental health. Due to the rapidly evolving nature of the pandemic, a multipronged strategy was implemented to widely disseminate the COVID-19 Survey and capture data using both the online platform and mailings. Results We limited the findings of this paper to the initial phase of survey dissemination which began in May 2020. A total of 729,625 eligible MVP Veterans were invited to complete version 1 of the COVID-19 Survey. As of October 31, 2020, 58,159 surveys have been returned. The mean and standard deviation (SD) age of responders was 71 (11) years, 8.6% were female, 8.2% were Black, 5.6% were Hispanic, and 446 (0.8%) self-reported a COVID-19 diagnosis. Over 90% of responders reported wearing masks, practicing social distancing, and frequent hand washing. Conclusion The MVP COVID-19 Survey provides a systematic collection of data regarding COVID-19 behaviors among Veterans and represents one of the first large-scale, national surveillance efforts of COVID-19 in the Veteran population. Continued work will examine the overall response to the survey with comparison to available VA health record data.
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Affiliation(s)
- Stacey B. Whitbourne
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, United States of America
- Department of Medicine, Harvard Medical School, Boston, MA, United States of America
- Division of Aging, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, United States of America
- * E-mail:
| | - Xuan-Mai T. Nguyen
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, United States of America
- Carle Illinois College of Medicine, University of Illinois, Champaign, IL, United States of America
| | - Rebecca J. Song
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, United States of America
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, United States of America
| | - Emily Lord
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, United States of America
| | - Michelle Lyden
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, United States of America
| | - Kelly M. Harrington
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, United States of America
- Department of Psychiatry, Boston University School of Medicine, Boston, MA, United States of America
| | - Rachel Ward
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, United States of America
- New England Geriatric Research, Education, and Clinical Center (GRECC), VA Boston Healthcare System, Boston, MA, United States of America
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, MA, United States of America
| | - Yanping Li
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, United States of America
| | - Jessica V. V. Brewer
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, United States of America
| | - Kelly M. Cho
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, United States of America
- Department of Medicine, Harvard Medical School, Boston, MA, United States of America
- Division of Aging, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, United States of America
| | - Luc Djousse
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, United States of America
- Department of Medicine, Harvard Medical School, Boston, MA, United States of America
- Division of Aging, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, United States of America
- New England Geriatric Research, Education, and Clinical Center (GRECC), VA Boston Healthcare System, Boston, MA, United States of America
| | - Sumitra Muralidhar
- Office of Research and Development, Veterans Health Administration, Washington, D.C., United States of America
| | - Philip S. Tsao
- VA Palo Alto Epidemiology Research and Information Center for Genomics, VA Palo Alto Health Care System, Palo Alto, CA, United States of America
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, United States of America
- Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, United States of America
| | - J. Michael Gaziano
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, United States of America
- Department of Medicine, Harvard Medical School, Boston, MA, United States of America
- Division of Aging, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, United States of America
| | - Juan P. Casas
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, United States of America
- Department of Medicine, Harvard Medical School, Boston, MA, United States of America
- Division of Aging, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, United States of America
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13
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Wang DD, Li Y, Nguyen XMT, Song RJ, Ho YL, Hu FB, Willett WC, Wilson PWF, Cho K, Gaziano JM, Djoussé L. Degree of Adherence to Based Diet and Total and Cause-Specific Mortality: Prospective Cohort Study in the Million Veteran Program. Public Health Nutr 2022; 26:1-38. [PMID: 35307047 DOI: 10.1017/s1368980022000659] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
OBJECTIVE To examine the associations between adherence to plant-based diets and mortality. DESIGN prospective study. We calculated a plant-based diet index (PDI) by assigning positive scores to plant foods and reverse scores to animal foods. We also created a healthful PDI (hPDI) and an unhealthful PDI (uPDI) by further separate the healthy plant foods from less-healthy plant foods. SETTING the VA Million Veteran Program. PARTICIPANTS 315,919 men and women aged 19 to 104 years who completed a food frequency questionnaire at the baseline. RESULTS We documented 31,136 deaths during the follow-up. A higher PDI was significantly associated with lower total mortality [hazard ratio (HR) comparing extreme deciles =0.75, 95% confidence interval (CI): 0.71 to 0.79, Ptrend <0.001]. We observed an inverse association between hPDI and total mortality (HR comparing extreme deciles =0.64, 95% CI: 0.61 to 0.68, Ptrend <0.001), whereas uPDI was positively associated with total mortality (HR comparing extreme deciles =1.41, 95% CI: 1.33 to 1.49, Ptrend <0.001). Similar significant associations of PDI, hPDI, and uPDI were also observed for CVD and cancer mortality. The associations between the plant-based diet indices and total mortality were consistent among African and European American participants, and participants free from CVD and cancer and those who were diagnosed with major chronic disease at baseline. CONCLUSIONS A greater adherence to a plant-based diet was associated with substantially lower total mortality in this large population of veterans. These findings support recommending plant-rich dietary patterns for the prevention of major chronic diseases.
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Affiliation(s)
- Dong D Wang
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA
- The Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
- Departments of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA
| | - Yanping Li
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA
- Departments of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA
| | - Xuan-Mai T Nguyen
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA
- Department of Medicine, Division of Aging, Brigham and Women's Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Rebecca J Song
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA
| | - Yuk-Lam Ho
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA
| | - Frank B Hu
- The Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
- Departments of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA
- Departments of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA
| | - Walter C Willett
- The Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
- Departments of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA
- Departments of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA
| | - Peter W F Wilson
- Atlanta VA Medical Center, Atlanta, GA
- Emory Clinical Cardiovascular Research Institute, Atlanta, GA
| | - Kelly Cho
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA
- Department of Medicine, Division of Aging, Brigham and Women's Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - J Michael Gaziano
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA
- Department of Medicine, Division of Aging, Brigham and Women's Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Luc Djoussé
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA
- Department of Medicine, Division of Aging, Brigham and Women's Hospital, Boston, MA
- Harvard Medical School, Boston, MA
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14
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Bourdillon MT, Song RJ, Musa Yola I, Xanthakis V, Vasan RS. Prevalence, Predictors, Progression, and Prognosis of Hypertension Subtypes in the Framingham Heart Study. J Am Heart Assoc 2022; 11:e024202. [PMID: 35261291 PMCID: PMC9075287 DOI: 10.1161/jaha.121.024202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Background The epidemiology of hypertension subtypes has not been well characterized in the recent era. Methods and Results We delineated the prevalence, predictors, progression, and prognostic significance of hypertension subtypes in 8198 Framingham Heart Study participants (mean age, 46.5 years; 54% women). The prevalence of hypertension subtypes was as follows: nonhypertensive (systolic blood pressure [SBP] <140 mm Hg and diastolic blood pressure [DBP] <90 mm Hg), 79%; isolated systolic hypertension (ISH; SBP ≥140 mm Hg and DBP <90 mm Hg), 8%; isolated diastolic hypertension (SBP <140 mm Hg and DBP ≥90 mm Hg), 4%; and systolic‐diastolic hypertension (SDH; SBP ≥140 mm Hg and DBP ≥90 mm Hg), 9%. The prevalence of ISH and SDH increased with age. Analysis of a subsample of nonhypertensive participants demonstrated that increasing age, female sex, higher heart rate, left ventricular mass, and greater left ventricular concentricity were predictors of incident ISH and SDH. Higher baseline DBP was associated with the risk of developing isolated diastolic hypertension and SDH, whereas higher SBP was associated with all 3 hypertension subtypes. On follow‐up (median, 5.5 years), isolated diastolic hypertension often reverted to nonhypertensive BP (in 42% of participants) and ISH progressed to SDH (in 26% of participants), whereas SDH frequently transitioned to ISH (in 20% of participants). During follow‐up (median, 14.6 years), 889 participants developed cardiovascular disease. Compared with the nonhypertensive group (referent), ISH (adjusted hazard ratio [HR], 1.57; 95% CI, 1.30–1.90) and SDH (HR, 1.66; 95% CI, 1.36–2.01) were associated with increased cardiovascular disease risk, whereas isolated diastolic hypertension was not (HR, 1.03; 95% CI, 0.68–1.57). Conclusions Hypertension subtypes vary in prevalence with age, are dynamic during short‐term follow‐up, and exhibit distinctive prognoses, underscoring the importance of blood pressure subphenotyping.
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Affiliation(s)
| | - Rebecca J Song
- Department of Epidemiology Boston University School of Public Health Boston MA
| | - Ibrahim Musa Yola
- Section of Preventive Medicine and Epidemiology Department of Medicine Boston University School of Medicine Boston MA
| | - Vanessa Xanthakis
- Section of Preventive Medicine and Epidemiology Department of Medicine Boston University School of Medicine Boston MA.,Framingham Heart Study Framingham MA.,Department of Biostatistics Boston University School of Public Health Boston MA
| | - Ramachandran S Vasan
- Department of Epidemiology Boston University School of Public Health Boston MA.,Section of Preventive Medicine and Epidemiology Department of Medicine Boston University School of Medicine Boston MA.,Framingham Heart Study Framingham MA
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15
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Wang DD, Li Y, Nguyen XMT, Song RJ, Ho YL, Hu FB, Willett WC, Wilson PWF, Cho K, Gaziano JM, Djoussé L. Dietary Sodium and Potassium Intake and Risk of Non-Fatal Cardiovascular Diseases: The Million Veteran Program. Nutrients 2022; 14:nu14051121. [PMID: 35268096 PMCID: PMC8912456 DOI: 10.3390/nu14051121] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 03/02/2022] [Accepted: 03/03/2022] [Indexed: 11/16/2022] Open
Abstract
Objective: To examine the association between intakes of sodium and potassium and the ratio of sodium to potassium and incident myocardial infarction and stroke. Design, Setting and Participants: Prospective cohort study of 180,156 Veterans aged 19 to 107 years with plausible dietary intake measured by food frequency questionnaire (FFQ) who were free of cardiovascular disease (CVD) and cancer at baseline in the VA Million Veteran Program (MVP). Main outcome measures: CVD defined as non-fatal myocardial infarction (MI) or acute ischemic stroke (AIS) ascertained using high-throughput phenotyping algorithms applied to electronic health records. Results: During up to 8 years of follow-up, we documented 4090 CVD cases (2499 MI and 1712 AIS). After adjustment for confounding factors, a higher sodium intake was associated with a higher risk of CVD, whereas potassium intake was inversely associated with the risk of CVD [hazard ratio (HR) comparing extreme quintiles, 95% confidence interval (CI): 1.09 (95% CI: 0.99−1.21, p trend = 0.01) for sodium and 0.87 (95% CI: 0.79−0.96, p trend = 0.005) for potassium]. In addition, the ratio of sodium to potassium (Na/K ratio) was positively associated with the risk of CVD (HR comparing extreme quintiles = 1.26, 95% CI: 1.14−1.39, p trend < 0.0001). The associations of Na/K ratio were consistent for two subtypes of CVD; one standard deviation increment in the ratio was associated with HRs (95% CI) of 1.12 (1.06−1.19) for MI and 1.11 (1.03−1.19) for AIS. In secondary analyses, the observed associations were consistent across race and status for diabetes, hypertension, and high cholesterol at baseline. Associations appeared to be more pronounced among participants with poor dietary quality. Conclusions: A high sodium intake and a low potassium intake were associated with a higher risk of CVD in this large population of US veterans.
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Affiliation(s)
- Dong D Wang
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA 02111, USA
- The Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA
| | - Yanping Li
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA 02111, USA
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA
| | - Xuan-Mai T Nguyen
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA 02111, USA
- Division of Aging, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
- Harvard Medical School, Boston, MA 02115, USA
| | - Rebecca J Song
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA 02111, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA 02115, USA
| | - Yuk-Lam Ho
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA 02111, USA
| | - Frank B Hu
- The Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA
| | - Walter C Willett
- The Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA
| | - Peter W F Wilson
- Atlanta VA Medical Center, Atlanta, GA 30033, USA
- Emory Clinical Cardiovascular Research Institute, Atlanta, GA 30033, USA
| | - Kelly Cho
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA 02111, USA
- Division of Aging, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
- Harvard Medical School, Boston, MA 02115, USA
| | - J Michael Gaziano
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA 02111, USA
- Division of Aging, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
- Harvard Medical School, Boston, MA 02115, USA
| | - Luc Djoussé
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA 02111, USA
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA
- Division of Aging, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
- Harvard Medical School, Boston, MA 02115, USA
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16
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Vasan RS, Song RJ, Xanthakis V, Beiser A, DeCarli C, Mitchell GF, Seshadri S. Hypertension-Mediated Organ Damage: Prevalence, Correlates, and Prognosis in the Community. Hypertension 2022; 79:505-515. [PMID: 35138872 PMCID: PMC8849561 DOI: 10.1161/hypertensionaha.121.18502] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND Guidelines emphasize screening people with elevated BP for the presence of end-organ damage. METHODS We characterized the prevalence, correlates, and prognosis of hypertension-mediated organ damage (HMOD) in the community-based Framingham Study. 7898 participants (mean age 51.6 years, 54% women) underwent assessment for the following HMOD: electrocardiographic and echocardiographic left ventricular hypertrophy, abnormal brain imaging findings consistent with vascular injury, increased carotid intima-media thickness, elevated carotid-femoral pulse wave velocity, reduced kidney function, microalbuminuria, and low ankle-brachial index. We characterized HMOD prevalence according to blood pressure (BP) categories defined by four international BP guidelines. Participants were followed up for incidence of cardiovascular disease. RESULTS The prevalence of HMOD varied positively with systolic BP and pulse pressure but negatively with diastolic BP; it increased with age, was similar in both sexes, and varied across BP guidelines based on their thresholds defining hypertension. Among participants with hypertension, elevated carotid-femoral pulse wave velocity was the most prevalent HMOD (40%-60%), whereas low ankle-brachial index was the least prevalent (<5%). Left ventricular hypertrophy, reduced kidney function, microalbuminuria, increased carotid intima-media thickness, and abnormal brain imaging findings had an intermediate prevalence (20%-40%). HMOD frequently clustered within individuals. On follow-up (median, 14.1 years), there were 384 cardiovascular disease events among 5865 participants with concurrent assessment of left ventricular mass, carotid-femoral pulse wave velocity, kidney function, and microalbuminuria. For every BP category above optimal (referent group), the presence of HMOD increased cardiovascular disease risk compared with its absence. CONCLUSIONS The prevalence of HMOD varies across international BP guidelines based on their different thresholds for defining hypertension. The presence of HMOD confers incremental prognostic information regarding cardiovascular disease risk at every BP category.
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Affiliation(s)
- Ramachandran S. Vasan
- Boston University’s and National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, Massachusetts, USA
- Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, MA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA
| | - Rebecca J. Song
- Department of Epidemiology, Boston University School of Public Health, Boston, MA
| | - Vanessa Xanthakis
- Boston University’s and National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, Massachusetts, USA
- Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, MA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | - Alexa Beiser
- Boston University’s and National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, Massachusetts, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
- Department of Neurology, Boston University School of Medicine, Boston, MA
| | | | | | - Sudha Seshadri
- Biggs Institute for Alzheimer’s Disease, University of Texas Health Sciences Center at San Antonio, Texas
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17
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Shrauner W, Lord EM, Nguyen XMT, Song RJ, Galloway A, Gagnon DR, Driver JA, Gaziano JM, Wilson PWF, Djousse L, Cho K, Orkaby AR. Frailty and cardiovascular mortality in more than 3 million US Veterans. Eur Heart J 2022; 43:818-826. [PMID: 34907422 PMCID: PMC9890630 DOI: 10.1093/eurheartj/ehab850] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Revised: 06/17/2021] [Accepted: 11/29/2021] [Indexed: 02/05/2023] Open
Abstract
AIMS Frailty is associated with an increased risk of all-cause mortality and cardiovascular (CV) events. Limited data exist from the modern era of CV prevention on the relationship between frailty and CV mortality. We hypothesized that frailty is associated with an increased risk of CV mortality. METHODS AND RESULTS All US Veterans aged ≥65 years who were regular users of Veteran Affairs care from 2002 to 2017 were included. Frailty was defined using a 31-item previously validated frailty index, ranging from 0 to 1. The primary outcome was CV mortality with secondary analyses examining the relationship between frailty and CV events (myocardial infarction, stroke, revascularization). Survival analysis models were adjusted for age, sex, ethnicity, geographic region, smoking, hyperlipidaemia, statin use, and blood pressure medication use. There were 3 068 439 US Veterans included in the analysis. Mean age was 74.1 ± 5.8 years in 2002, 76.0 ± 8.3 years in 2014, 98% male, and 87.5% White. In 2002, the median (interquartile range) frailty score was 0.16 (0.10-0.23). This increased and stabilized to 0.19 (0.10-0.32) for 2006-14. The presence of frailty was associated with an increased risk of CV mortality at every stage of frailty. Frailty was associated with an increased risk of myocardial infarction and stroke, but not revascularization. CONCLUSION In this population, both the presence and severity of frailty are tightly correlated with CV death, independent of underlying CV disease. This study is the largest and most contemporary evaluation of the relationship between frailty and CV mortality to date. Further work is needed to understand how this risk can be diminished. KEY QUESTION Can an electronic frailty index identify adults aged 65 and older who are at risk of CV mortality and major CV events? KEY FINDING Among 3 068 439 US Veterans aged 65 and older, frailty was associated with an increased risk of CV mortality at every level of frailty. Frailty was also associated with an increased risk of myocardial infarction and stroke, but not revascularization. TAKE HOME MESSAGE Both the presence and severity of frailty are associated with CV mortality and major CV events, independent of underlying CV disease.
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Affiliation(s)
- William Shrauner
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, 150 South Huntington Ave, Boston, MA 02130, USA
- Division of Aging, Department of Medicine, Brigham & Women's Hospital, Harvard Medical School, 1620 Tremont St Boston, MA 02120, USA
- Division of Cardiology, Department of Medicine, Boston Medical Center, One Boston Medical Center Pl, Boston, MA 02118, USA
| | - Emily M Lord
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, 150 South Huntington Ave, Boston, MA 02130, USA
| | - Xuan-Mai T Nguyen
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, 150 South Huntington Ave, Boston, MA 02130, USA
| | - Rebecca J Song
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, 150 South Huntington Ave, Boston, MA 02130, USA
| | - Ashley Galloway
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, 150 South Huntington Ave, Boston, MA 02130, USA
| | - David R Gagnon
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, 150 South Huntington Ave, Boston, MA 02130, USA
- New England GRECC (Geriatric Research, Education, and Clinical Center) VA Boston Healthcare System, 150 South Huntington Ave Boston, MA 02130, USA
| | - Jane A Driver
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, 150 South Huntington Ave, Boston, MA 02130, USA
- Division of Aging, Department of Medicine, Brigham & Women's Hospital, Harvard Medical School, 1620 Tremont St Boston, MA 02120, USA
- New England GRECC (Geriatric Research, Education, and Clinical Center) VA Boston Healthcare System, 150 South Huntington Ave Boston, MA 02130, USA
| | - J Michael Gaziano
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, 150 South Huntington Ave, Boston, MA 02130, USA
- Division of Aging, Department of Medicine, Brigham & Women's Hospital, Harvard Medical School, 1620 Tremont St Boston, MA 02120, USA
| | - Peter W F Wilson
- Atlanta VA Medical Center, 1670 Clairmont Rd, Decatur, GA 30033, USA
- Division of Cardiology, Department of Medicine, Emory University School of Medicine, 1525 Clifton Rd, Atlanta, GA 30322, USA
- Department of Epidemiology, Rollins School of Public Health, Emory University, 1518 Clifton Rd, Atlanta, GA 30322, USA
| | - Luc Djousse
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, 150 South Huntington Ave, Boston, MA 02130, USA
- Division of Aging, Department of Medicine, Brigham & Women's Hospital, Harvard Medical School, 1620 Tremont St Boston, MA 02120, USA
| | - Kelly Cho
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, 150 South Huntington Ave, Boston, MA 02130, USA
- Division of Aging, Department of Medicine, Brigham & Women's Hospital, Harvard Medical School, 1620 Tremont St Boston, MA 02120, USA
| | - Ariela R Orkaby
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, 150 South Huntington Ave, Boston, MA 02130, USA
- Division of Aging, Department of Medicine, Brigham & Women's Hospital, Harvard Medical School, 1620 Tremont St Boston, MA 02120, USA
- New England GRECC (Geriatric Research, Education, and Clinical Center) VA Boston Healthcare System, 150 South Huntington Ave Boston, MA 02130, USA
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18
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Vasan RS, Song RJ, Xanthakis V, Mitchell GF. Aortic Root Diameter and Arterial Stiffness: Conjoint Relations to the Incidence of Cardiovascular Disease in the Framingham Heart Study. Hypertension 2021; 78:1278-1286. [PMID: 34601969 PMCID: PMC8516742 DOI: 10.1161/hypertensionaha.121.17702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
[Figure: see text].
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Affiliation(s)
- Ramachandran S. Vasan
- Section of Preventive Medicine and Epidemiology, Boston University School of Medicine, Boston, MA
- Framingham Heart Study, Framingham, MA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA
| | - Rebecca J. Song
- Department of Epidemiology, Boston University School of Public Health, Boston, MA
| | - Vanessa Xanthakis
- Section of Preventive Medicine and Epidemiology, Boston University School of Medicine, Boston, MA
- Framingham Heart Study, Framingham, MA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
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19
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Lee J, Song RJ, Musa Yola I, Shrout TA, Mitchell GF, Vasan RS, Xanthakis V. Association of Estimated Cardiorespiratory Fitness in Midlife With Cardiometabolic Outcomes and Mortality. JAMA Netw Open 2021; 4:e2131284. [PMID: 34714339 PMCID: PMC8556623 DOI: 10.1001/jamanetworkopen.2021.31284] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/16/2023] Open
Abstract
IMPORTANCE The associations of estimated cardiorespiratory fitness (eCRF) during midlife with subclinical atherosclerosis, arterial stiffness, incident cardiometabolic disease, and mortality are not well understood. OBJECTIVE To examine associations of midlife eCRF with subclinical atherosclerosis, arterial stiffness, incident cardiometabolic disease, and mortality. DESIGN, SETTING, AND PARTICIPANTS This cohort study included 2962 participants in the Framingham Study Second Generation (conducted between 1979 and 2001). Data were analyzed from January 2020 to June 2020. EXPOSURES eCRF was calculated using sex-specific algorithms (including age, body mass index, waist circumference, physical activity, resting heart rate, and smoking) and was categorized as: (1) tertiles of standardized eCRF at examination cycle 7 (1998 to 2001); (2) tertiles of standardized average eCRF between examination cycles 2 and 7 (1979 to 2001); and (3) eCRF trajectories between examination cycles 2 and 7, with the lowest tertile or trajectory (ie, low eCRF) as referent group. MAIN OUTCOMES AND MEASURES Subclinical atherosclerosis (carotid intima-media thickness [CIMT], coronary artery calcium [CAC] score); arterial stiffness (carotid-femoral pulse wave velocity [-1000/CFPWV]); incident hypertension, diabetes, chronic kidney disease (CKD), cardiovascular disease (CVD), and mortality after examination cycle 7. RESULTS A total of 2962 participants were included in this cohort study (mean [SD] age, 61.5 [9.2] years; 1562 [52.7%] women). The number of events or participants at risk after examination cycle 7 (at a mean follow-up of 15 years) was 728 of 1506 for hypertension, 214 of 2268 for diabetes, 439 of 2343 for CKD, 500 of 2608 for CVD, and 770 of 2962 for mortality. Compared with the low eCRF reference value, high single examination eCRF was associated with lower CFPWV (β [SE], -11.13 [1.33] ms/m) and CIMT (β [SE], -0.12 [0.05] mm), and lower risk of hypertension (hazard ratio [HR], 0.63; 95% CI, 0.46-0.85), diabetes (HR, 0.38; 95% CI, 0.23-0.62), and CVD (HR, 0.71; 95% CI, 0.53-0.95), although it was not associated with CKD or mortality. Similarly, compared with the low eCRF reference, high eCRF trajectories and mean eCRF were associated with lower CFPWV (β [SE], -11.85 [1.89] ms/m and -10.36 [1.54] ms/m), CIMT (β [SE], -0.19 [0.06] mm and -0.15 [0.05] mm), CAC scores (β [SE], -0.67 [0.25] AU and -0.63 [0.20] AU), and lower risk of hypertension (HR, 0.54; 95% CI, 0.34-0.87 and HR, 0.48; 95% CI, 0.34-0.68), diabetes (HR, 0.27; 95% CI, 0.15-0.48 and HR, 0.31; 95% CI, 0.18-0.54), CKD (HR, 0.63; 95% CI, 0.40-0.97 and HR, 0.64; 95% CI, 0.44-0.94), and CVD (HR, 0.46; 95% CI, 0.31-0.68 and HR, 0.43; 95% CI, 0.30-0.60). Compared with the reference value, a high eCRF trajectory was associated with lower risk of mortality (HR, 0.69; 95% CI, 0.50-0.95). CONCLUSIONS AND RELEVANCE In this cohort study, higher midlife eCRF was associated with lower burdens of subclinical atherosclerosis and vascular stiffness, and with a lower risk of hypertension, diabetes, chronic kidney disease, cardiovascular disease, and mortality. These findings suggest that midlife eCRF may serve as a prognostic marker for subclinical atherosclerosis, arterial stiffness, cardiometabolic health, and mortality in later life.
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Affiliation(s)
- Joowon Lee
- Section of Preventive Medicine and Epidemiology, Boston University School of Medicine, Boston, Massachusetts
| | - Rebecca J. Song
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - Ibrahim Musa Yola
- Section of Preventive Medicine and Epidemiology, Boston University School of Medicine, Boston, Massachusetts
| | - Tara A. Shrout
- Residency Program, Department of Internal Medicine, Boston Medical Center, Boston, Massachusetts
| | | | - Ramachandran S. Vasan
- Section of Preventive Medicine and Epidemiology, Boston University School of Medicine, Boston, Massachusetts
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
- Section of Cardiovascular Medicine, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts
- Center for Computing and Data Sciences, Boston University, Boston, Massachusetts
- Framingham Heart Study, Framingham, Massachusetts
| | - Vanessa Xanthakis
- Section of Preventive Medicine and Epidemiology, Boston University School of Medicine, Boston, Massachusetts
- Framingham Heart Study, Framingham, Massachusetts
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
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20
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Ataklte F, Song RJ, Upadhyay A, Musa Yola I, Vasan RS, Xanthakis V. Association of Mildly Reduced Kidney Function With Cardiovascular Disease: The Framingham Heart Study. J Am Heart Assoc 2021; 10:e020301. [PMID: 34387110 PMCID: PMC8475034 DOI: 10.1161/jaha.120.020301] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Background Data are limited on the association of mildly reduced estimated glomerular filtration rate (eGFR 60-89 mL/min per 1.73 m2) with cardiovascular disease (CVD) in the community. Methods and Results We evaluated 3066 Framingham Offspring Study participants (55% women, mean age 58 years), without clinical CVD. Using multivariable regression, we related categories of mildly reduced eGFR (80-89, 70-79, or 60-69 versus ≥90 mL/min per 1.73 m2 [referent]) to prevalent coronary artery calcium, carotid intima media thickness, and left ventricular hypertrophy, and to circulating concentrations of cardiac stress biomarkers. We related eGFR categories to CVD incidence and to progression to ≥Stage 3 chronic kidney disease (eGFR <60 mL/min per 1.73 m2) using Cox regression. Individuals with eGFR 60-69 mL/min per 1.73 m2 (n=320) had higher coronary artery calcium score (odds ratio 1.69; 95% CI 1.02-2.80) compared with the referent group. Individuals with eGFR 60-69 and 70-79 mL/min per 1.73 m2 had higher blood growth differentiating factor-15 concentrations (β=0.131 and 0.058 per unit-increase in log-biomarker, respectively). Participants with eGFR 60-69 and 80-89 mL/min per 1.73 m2 had higher blood B-type natriuretic peptide concentrations (β=0.119 and 0.116, respectively). On follow-up (median 16 years; 691 incident CVD and 252 chronic kidney disease events), individuals with eGFR 60-69 and 70-79 mL/min per 1.73 m2 experienced higher CVD incidence (hazard ratio [HR], 1.40; 95% CI, 1.02-1.93 and 1.45, 95% CI, 1.05-2.00, respectively, versus referent). Participants with eGFR 60-69 mL/min per 1.73 m2 experienced higher chronic kidney disease incidence (HR, 2.94; 95% CI, 1.80-4.78 versus referent). Conclusions Individuals with mildly reduced eGFR 60-69 mL/min per 1.73 m2 have a higher burden of subclinical atherosclerosis cross-sectionally, and a greater risk of CVD and chronic kidney disease progression prospectively. Additional studies are warranted to confirm our findings.
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Affiliation(s)
- Feven Ataklte
- Department of Internal MedicineBoston Medical Center and Boston University School of MedicineBostonMA
| | - Rebecca J. Song
- Department of EpidemiologyBoston University School of Public HealthBostonMA
| | - Ashish Upadhyay
- Section of NephrologyBoston Medical Center and Boston University School of MedicineBostonMA
| | - Ibrahim Musa Yola
- Section of Preventive Medicine and EpidemiologyDepartment of MedicineBoston University School of MedicineBostonMA
| | - Ramachandran S. Vasan
- Department of EpidemiologyBoston University School of Public HealthBostonMA,Section of Preventive Medicine and EpidemiologyDepartment of MedicineBoston University School of MedicineBostonMA,Framingham Heart StudyFraminghamMA,Boston University Center for Computing and Data SciencesBostonMA
| | - Vanessa Xanthakis
- Department of BiostatisticsBoston University School of Public HealthBostonMA,Section of Preventive Medicine and EpidemiologyDepartment of MedicineBoston University School of MedicineBostonMA,Framingham Heart StudyFraminghamMA
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21
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Abstract
Introduction:
The Framingham Risk Score (FRS) has been widely used to predict cardiovascular disease (CVD) risk. However, a comparison of the incremental prognostic utility of different subclinical disease (SubDz) measures is not clear.
Methods:
We evaluated participants aged 40-79 years (mean age 55 years, 56% women) from the Framingham Offspring (Exam 8, 2005-2008) and Third Generation cohorts (Exam 1, 2002-2005), free of CVD and diabetes, with data on coronary artery calcium (CAC, n=2497), and two measures of target organ damage: urine albumin-to-creatinine ratio (UACR, n=4011) and left ventricular mass (LVM, n=3770). We categorized FRS: <10%, 10-19%, and ≥20% and defined high CAC as CAC≥100, microalbuminuria (MA) as UACR ≥25mg/g in men and ≥35mg/g in women, and left ventricular hypertrophy (LVH) as LVM/body surface area>115 g/m
2
(men) and >95g/m
2
(women). We created 6 cross-classified groups: FRS <10%-No SubDz; FRS <10% + SubDz; FRS 10-19%-No SubDz; FRS 10-19% + SubDz; FRS ≥20%-No SubDz; and FRS ≥20% + SubDz. We related the groups to CVD risk using Cox regression adjusting for age, sex, and cohort and plotted Kaplan-Meier curves to display CVD cumulative incidence by each SubDz cross-classified group.
Results:
Over a median follow-up of 12 years, 7% of participants developed CVD. Comparing FRS 10-19%-No SubDz and FRS 10-19% + SubDz to FRS <10%-No SubDz (referent), we observed hazards ratios (95% CI) for CVD of 1.68 (0.99-2.83) and 6.50 (3.64-11.61) for high CAC; 1.33 (0.95-1.85) and 2.15 (1.10-4.18) for MA; and 1.43 (0.99-2.07) and 2.18 (1.33-3.57) for LVH. Each SubDz measure predicted CVD risk incrementally over the FRS. In a sub-sample with all three SubDz measures, the model c-statistic with FRS only was 0.725, increasing to 0.773, 0.726, and 0.728 when adding CAC, MA, and LVH, respectively.
Conclusion:
Presence of a high CAC score outperformed other measures of target organ damage (MA or LVH) for predicting CVD risk, regardless of FRS. Additional studies of larger multi-ethnic samples are warranted to confirm our findings.
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22
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Song RJ, Ho YL, Schubert P, Park Y, Posner D, Lord EM, Costa L, Gerlovin H, Kurgansky KE, Anglin-Foote T, DuVall S, Huffman JE, Pyarajan S, Beckham JC, Chang KM, Liao KP, Djousse L, Gagnon DR, Whitbourne SB, Ramoni R, Muralidhar S, Tsao PS, O’Donnell CJ, Gaziano JM, Casas JP, Cho K. Phenome-wide association of 1809 phenotypes and COVID-19 disease progression in the Veterans Health Administration Million Veteran Program. PLoS One 2021; 16:e0251651. [PMID: 33984066 PMCID: PMC8118298 DOI: 10.1371/journal.pone.0251651] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Accepted: 04/30/2021] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND The risk factors associated with the stages of Coronavirus Disease-2019 (COVID-19) disease progression are not well known. We aim to identify risk factors specific to each state of COVID-19 progression from SARS-CoV-2 infection through death. METHODS AND RESULTS We included 648,202 participants from the Veteran Affairs Million Veteran Program (2011-). We identified characteristics and 1,809 ICD code-based phenotypes from the electronic health record. We used logistic regression to examine the association of age, sex, body mass index (BMI), race, and prevalent phenotypes to the stages of COVID-19 disease progression: infection, hospitalization, intensive care unit (ICU) admission, and 30-day mortality (separate models for each). Models were adjusted for age, sex, race, ethnicity, number of visit months and ICD codes, state infection rate and controlled for multiple testing using false discovery rate (≤0.1). As of August 10, 2020, 5,929 individuals were SARS-CoV-2 positive and among those, 1,463 (25%) were hospitalized, 579 (10%) were in ICU, and 398 (7%) died. We observed a lower risk in women vs. men for ICU and mortality (Odds Ratio (95% CI): 0.48 (0.30-0.76) and 0.59 (0.31-1.15), respectively) and a higher risk in Black vs. Other race patients for hospitalization and ICU (OR (95%CI): 1.53 (1.32-1.77) and 1.63 (1.32-2.02), respectively). We observed an increased risk of all COVID-19 disease states with older age and BMI ≥35 vs. 20-24 kg/m2. Renal failure, respiratory failure, morbid obesity, acid-base balance disorder, white blood cell diseases, hydronephrosis and bacterial infections were associated with an increased risk of ICU admissions; sepsis, chronic skin ulcers, acid-base balance disorder and acidosis were associated with mortality. CONCLUSIONS Older age, higher BMI, males and patients with a history of respiratory, kidney, bacterial or metabolic comorbidities experienced greater COVID-19 severity. Future studies to investigate the underlying mechanisms associated with these phenotype clusters and COVID-19 are warranted.
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Affiliation(s)
- Rebecca J. Song
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, United States of America
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, United States of America
| | - Yuk-Lam Ho
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, United States of America
| | - Petra Schubert
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, United States of America
| | - Yojin Park
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, United States of America
| | - Daniel Posner
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, United States of America
| | - Emily M. Lord
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, United States of America
| | - Lauren Costa
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, United States of America
| | - Hanna Gerlovin
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, United States of America
| | - Katherine E. Kurgansky
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, United States of America
| | - Tori Anglin-Foote
- VA Salt Lake City Health Care System, Salt Lake City, Utah, United States of America
| | - Scott DuVall
- VA Salt Lake City Health Care System, Salt Lake City, Utah, United States of America
- Office of Research and Development, Veterans Health Administration, Washington, DC, United States of America
- Department of Medicine, University of Utah School of Medicine, Salt Lake City, Utah, United States of America
| | - Jennifer E. Huffman
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, United States of America
| | - Saiju Pyarajan
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, United States of America
- Department of Medicine, Division of Aging, Brigham & Women’s Hospital, Boston, Massachusetts, United States of America
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Jean C. Beckham
- Durham VA Medical Center, Durham, North Carolina, United States of America
- Department of Psychiatry and Behavioral Sciences, University Medical Center, Durham, North Carolina, United States of America
- VA Mid-Atlantic Mental Illness Research Education and Clinical Center, Durham, North Carolina, United States of America
| | - Kyong-Mi Chang
- Corporal Michael Crescenz VA Medical Center, Philadelphia, Pennsylvania, United States of America
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Katherine P. Liao
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, United States of America
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, United States of America
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Luc Djousse
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, United States of America
- Department of Medicine, Division of Aging, Brigham & Women’s Hospital, Boston, Massachusetts, United States of America
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, United States of America
| | - David R. Gagnon
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, United States of America
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States of America
| | - Stacey B. Whitbourne
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, United States of America
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Rachel Ramoni
- Office of Research and Development, Veterans Health Administration, Washington, DC, United States of America
| | - Sumitra Muralidhar
- Office of Research and Development, Veterans Health Administration, Washington, DC, United States of America
| | - Philip S. Tsao
- Department of Medicine, Stanford University School of Medicine, Stanford, California, United States of America
- VA Palo Alto Health Care System, Palo Alto, California, United States of America
| | - Christopher J. O’Donnell
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, United States of America
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, United States of America
| | - John Michael Gaziano
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, United States of America
- Department of Medicine, Division of Aging, Brigham & Women’s Hospital, Boston, Massachusetts, United States of America
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Juan P. Casas
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, United States of America
- Department of Medicine, Division of Aging, Brigham & Women’s Hospital, Boston, Massachusetts, United States of America
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Kelly Cho
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, United States of America
- Department of Medicine, Division of Aging, Brigham & Women’s Hospital, Boston, Massachusetts, United States of America
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, United States of America
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23
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Carneiro HA, Song RJ, Lee J, Schwartz B, Vasan RS, Xanthakis V. Association of Blood Pressure and Heart Rate Responses to Submaximal Exercise With Incident Heart Failure: The Framingham Heart Study. J Am Heart Assoc 2021; 10:e019460. [PMID: 33759543 PMCID: PMC8174367 DOI: 10.1161/jaha.120.019460] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Background Exercise stress tests are conventionally performed to assess risk of coronary artery disease. Using the FHS (Framingham Heart Study) Offspring cohort, we related blood pressure (BP) and heart rate responses during and after submaximal exercise to the incidence of heart failure (HF). Methods and Results We evaluated Framingham Offspring Study participants (n=2066; mean age, 58 years; 53% women) who completed 2 stages of an exercise test (Bruce protocol) at their seventh examination (1998-2002). We measured pulse pressure, systolic BP, diastolic BP, and heart rate responses during stage 2 exercise (2.5 mph at 12% grade). We calculated the changes in systolic BP, diastolic BP, and heart rate from stage 2 to recovery 3 minutes after exercise. We used Cox proportional hazards regression to relate each standardized exercise variable (during stage 2, and at 3 minutes of recovery) individually to HF incidence, adjusting for standard risk factors. On follow-up (median, 16.8 years), 85 participants developed new-onset HF. Higher exercise diastolic BP was associated with higher HF with reduced ejection fraction (ejection fraction <50%) risk (hazard ratio [HR] per SD increment, 1.26; 95% CI, 1.01-1.59). Lower stage 2 pulse pressure and rapid postexercise recovery of heart rate and systolic BP were associated with higher HF with reduced ejection fraction risk (HR per SD increment, 0.73 [95% CI, 0.57-0.94]; 0.52 [95% CI, 0.35-0.76]; and 0.63 [95% CI, 0.47-0.84], respectively). BP and heart rate responses to submaximal exercise were not associated with risk of HF with preserved ejection fraction (ejection fraction ≥50%). Conclusions Accentuated diastolic BP during exercise with slower systolic BP and heart rate recovery after exercise are markers of HF with reduced ejection fraction risk.
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Affiliation(s)
- Herman A Carneiro
- Internal Medicine Residency Program Boston University School of Medicine Boston MA
| | - Rebecca J Song
- Department of Epidemiology Boston University School of Public Health Boston MA
| | - Joowon Lee
- Sections of Preventive Medicine and Epidemiology, and Cardiovascular Medicine Department of Medicine Boston University School of Medicine Boston MA
| | - Brian Schwartz
- Internal Medicine Residency Program Boston University School of Medicine Boston MA
| | - Ramachandran S Vasan
- Department of Epidemiology Boston University School of Public Health Boston MA.,Sections of Preventive Medicine and Epidemiology, and Cardiovascular Medicine Department of Medicine Boston University School of Medicine Boston MA.,Boston UniversityCenter for Computing and Data Sciences Boston MA.,Boston University and National Heart, Lung, and Blood Institute's FHS (Framingham Heart Study) Framingham MA
| | - Vanessa Xanthakis
- Sections of Preventive Medicine and Epidemiology, and Cardiovascular Medicine Department of Medicine Boston University School of Medicine Boston MA.,Boston University and National Heart, Lung, and Blood Institute's FHS (Framingham Heart Study) Framingham MA.,Department of Biostatistics Boston University School of Public Health Boston MA
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24
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Ward RE, Nguyen XMT, Li Y, Lord EM, Lecky V, Song RJ, Casas JP, Cho K, Gaziano JM, Harrington KM, Whitbourne SB. Racial and Ethnic Disparities in U.S. Veteran Health Characteristics. Int J Environ Res Public Health 2021; 18:ijerph18052411. [PMID: 33801200 PMCID: PMC7967786 DOI: 10.3390/ijerph18052411] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/10/2021] [Revised: 02/18/2021] [Accepted: 02/23/2021] [Indexed: 11/16/2022]
Abstract
Racial/ethnic health disparities persist among veterans despite comparable access and quality of care. We describe racial/ethnic differences in self-reported health characteristics among 437,413 men and women (mean age (SD) = 64.5 (12.6), 91% men, 79% White) within the Million Veteran Program. The Cochran-Mantel-Haenszel test and linear mixed models were used to compare age-standardized frequencies and means across race/ethnicity groups, stratified by gender. Black, Hispanic, and Other race men and women reported worse self-rated health, greater VA healthcare utilization, and more combat exposure than Whites. Compared to White men, Black and Other men reported more circulatory, musculoskeletal, mental health, and infectious disease conditions while Hispanic men reported fewer circulatory and more mental health, infectious disease, kidney, and neurological conditions. Compared to White women, Black women reported more circulatory and infectious disease conditions and Other women reported more infectious disease conditions. Smoking rates were higher among Black men, but lower for other minority groups compared to Whites. Minority groups were less likely to drink alcohol and had lower physical fitness than Whites. By identifying differences in burden of various health conditions and risk factors across different racial/ethnic groups, our findings can inform future studies and ultimately interventions addressing disparities.
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Affiliation(s)
- Rachel E. Ward
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA 02130, USA; (X.-M.T.N.); (Y.L.); (E.M.L.); (V.L.); (R.J.S.); (J.P.C.); (K.C.); (J.M.G.); (K.M.H.); (S.B.W.)
- New England Geriatric Research, Education, and Clinical Center (GRECC), VA Boston Healthcare System, Boston, MA 02130, USA
- Correspondence:
| | - Xuan-Mai T. Nguyen
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA 02130, USA; (X.-M.T.N.); (Y.L.); (E.M.L.); (V.L.); (R.J.S.); (J.P.C.); (K.C.); (J.M.G.); (K.M.H.); (S.B.W.)
- Carle Illinois College of Medicine, University of Illinois, Champaign, IL 61820, USA
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Yanping Li
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA 02130, USA; (X.-M.T.N.); (Y.L.); (E.M.L.); (V.L.); (R.J.S.); (J.P.C.); (K.C.); (J.M.G.); (K.M.H.); (S.B.W.)
| | - Emily M. Lord
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA 02130, USA; (X.-M.T.N.); (Y.L.); (E.M.L.); (V.L.); (R.J.S.); (J.P.C.); (K.C.); (J.M.G.); (K.M.H.); (S.B.W.)
| | - Vanessa Lecky
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA 02130, USA; (X.-M.T.N.); (Y.L.); (E.M.L.); (V.L.); (R.J.S.); (J.P.C.); (K.C.); (J.M.G.); (K.M.H.); (S.B.W.)
| | - Rebecca J. Song
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA 02130, USA; (X.-M.T.N.); (Y.L.); (E.M.L.); (V.L.); (R.J.S.); (J.P.C.); (K.C.); (J.M.G.); (K.M.H.); (S.B.W.)
- Department of Epidemiology, Boston University School of Public Health, Boston, MA 02118, USA
| | - Juan P. Casas
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA 02130, USA; (X.-M.T.N.); (Y.L.); (E.M.L.); (V.L.); (R.J.S.); (J.P.C.); (K.C.); (J.M.G.); (K.M.H.); (S.B.W.)
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
- Department of Medicine, Division of Aging, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Kelly Cho
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA 02130, USA; (X.-M.T.N.); (Y.L.); (E.M.L.); (V.L.); (R.J.S.); (J.P.C.); (K.C.); (J.M.G.); (K.M.H.); (S.B.W.)
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
- Department of Medicine, Division of Aging, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - John Michael Gaziano
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA 02130, USA; (X.-M.T.N.); (Y.L.); (E.M.L.); (V.L.); (R.J.S.); (J.P.C.); (K.C.); (J.M.G.); (K.M.H.); (S.B.W.)
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
- Department of Medicine, Division of Aging, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Kelly M. Harrington
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA 02130, USA; (X.-M.T.N.); (Y.L.); (E.M.L.); (V.L.); (R.J.S.); (J.P.C.); (K.C.); (J.M.G.); (K.M.H.); (S.B.W.)
- Department of Psychiatry, Boston University School of Medicine, Boston, MA 02118, USA
| | - Stacey B. Whitbourne
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA 02130, USA; (X.-M.T.N.); (Y.L.); (E.M.L.); (V.L.); (R.J.S.); (J.P.C.); (K.C.); (J.M.G.); (K.M.H.); (S.B.W.)
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
- Department of Medicine, Division of Aging, Brigham and Women’s Hospital, Boston, MA 02115, USA
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25
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Castro-Diehl C, Song RJ, Sawyer DB, Wollert KC, Mitchell GF, Cheng S, Vasan RS, Xanthakis V. Circulating growth factors and cardiac remodeling in the community: The Framingham Heart Study. Int J Cardiol 2021; 329:217-224. [PMID: 33422565 DOI: 10.1016/j.ijcard.2020.12.088] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Revised: 12/23/2020] [Accepted: 12/28/2020] [Indexed: 12/29/2022]
Abstract
BACKGROUND AND AIMS Cardiac and vascular growth factors (GF) may influence myocardial remodeling through cardiac growth and angiogenic effects. We hypothesized that concentrations of circulating GF are associated with cardiac remodeling traits. METHODS We related blood concentrations of vascular endothelial GF (VEGF), VEGFR-1 (sFlt1), angiopoietin 2 (Ang-2), soluble angiopoietin type-2 receptor (sTie2), hepatocyte GF (HGF), insulin-like GF (IGF)-1, IGF binding protein (IGFBP)-3, and growth differentiation factor-15 (GDF-15) to echocardiographic traits in 3151 Framingham Study participants (mean age 40 years, 55% women). We evaluated the following measures: left ventricular (LV) mass index (LVMi), LV ejection fraction (LVEF), global longitudinal strain (GLS), mitral E/e', and aortic root diameter (AoR). All biomarker values were sex-standardized. RESULTS In multivariable-adjusted analyses, higher GDF-15 concentrations were associated with higher log-LVMi (β = 0.009 per SD, P = 0.01). Similarly, sTie2 concentrations were positively associated with log-E/e' (β = 0.011 per SD, P = 0.04). IGF-1 and Ang-2 concentrations were positively and negatively associated with GLS, respectively (βIGF-1 = 0.16 per SD and βAng-2 = -0.15 per SD, both P < 0.05), whereas higher sFlt1 and Ang-2 levels were associated with smaller log-AoR (βsFlt1 = -0.004 per SD and β Ang-2 = -0.005 per SD, respectively; P < 0.05). CONCLUSION In our large community-based sample, we observed patterns of associations between several circulating vascular GF and cardiac remodeling indices that are consistent with the known biological effects of these pro- and anti-angiogenic factors on the myocardium and conduit arteries. Additional studies are warranted to replicate our findings and assess their prognostic significance.
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Affiliation(s)
- Cecilia Castro-Diehl
- Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Rebecca J Song
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Douglas B Sawyer
- Department of Cardiovascular Medicine, Maine Medical Center, Portland, ME, USA
| | - Kai C Wollert
- Division of Molecular and Translational Cardiology, Department of Cardiology and Angiology, Hannover Medical School, Hannover, Germany
| | | | - Susan Cheng
- Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Ramachandran S Vasan
- Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, MA, USA; Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA; Boston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, USA; Section of Cardiology, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Vanessa Xanthakis
- Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, MA, USA; Boston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, USA; Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA..
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26
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Abstract
Background Offspring of parents with premature cardiovascular disease (CVD) have an increased risk of developing subclinical and clinical CVD. It is unclear whether this association differs by vascular beds in the offspring or by the age cut points used to define premature parental CVD. Methods and Results Using 3 generations of Framingham Heart Study participants, we assessed prevalent coronary artery calcification, the progression of coronary artery calcification over 6.1 years (median), carotid intima media thickness and the ankle-brachial index in 1046 offspring of parents with premature CVD before age 70 years, in 1618 offspring with both parents free of CVD and in 923 offspring with parents with CVD after age 70 years. We used different age cut points (55, 60, 65, and 70 years) to define premature parental CVD. In multivariable-adjusted models, offspring of parents with premature CVD (onset before age 65 years) displayed greater odds for prevalent coronary artery calcification (odds ratio [OR], 1.81; 95% CI, 1.35-2.43), higher carotid intima media thickness (OR, 1.50; 95% CI, 0.92-2.44) and lower ankle-brachial index (OR, 1.89; 95% CI, 1.00-3.58). These associations were generally consistent across different age cut points used to define premature parental CVD. The association with the progression of coronary artery calcification was less consistent. Conclusions Parental premature CVD is associated with increased subclinical CVD burden in the offspring, with consistent relations across different vascular beds and for different age cut points used to define premature parental CVD. Future studies should evaluate whether screening for subclinical CVD traits is warranted in offspring with premature parental CVD.
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Affiliation(s)
- Wolfgang Lieb
- Framingham Heart Study Framingham MA.,Institute of Epidemiology Kiel University Kiel Germany
| | - Rebecca J Song
- Department of Epidemiology Boston University School of Public Health Boston MA
| | - Ramachandran S Vasan
- Framingham Heart Study Framingham MA.,Section of Preventive Medicine and Epidemiology Boston University School of Medicine Boston MA.,Department of Epidemiology Boston University School of Public Health Boston MA.,Boston University Center for Computing and Data Sciences Boston MA
| | - Vanessa Xanthakis
- Framingham Heart Study Framingham MA.,Section of Preventive Medicine and Epidemiology Boston University School of Medicine Boston MA.,Department of Biostatistics Boston University School of Public Health Boston MA
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27
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Raunsø J, Song RJ, Vasan RS, Bourdillon MT, Nørager B, Torp-Pedersen C, Gislason GH, Xanthakis V, Andersson C. Familial Clustering of Aortic Size, Aneurysms, and Dissections in the Community. Circulation 2020; 142:920-928. [DOI: 10.1161/circulationaha.120.045990] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
Background:
Ruptured aortic aneurysm and aortic dissections are potentially preventable disorders associated with high mortality. Screening of individuals at risk may translate into elective surgical interventions and lowered mortality. It is uncertain if the risk of aortic dilation of varying degrees aggregates within families.
Methods:
We investigated the risk of having thoracic and abdominal aortic sizes in the highest quartile (measured by computed tomography scans and indexed for body size) if at least 1 parent did so in the Framingham Heart Study cohorts, and estimated the incidence rates and hazard ratios of developing aortic aneurysm or dissection among first-degree relatives of those with aortic aneurysm or dissection, in comparison with age- and sex-matched controls (1:10 for aortic aneurysm and 1:100 for aortic dissection) using the Danish nationwide administrative registries.
Results:
In the Framingham Heart Study, offspring (n=235) whose parent(s) had a sex- and age-standardized aortic size in the upper quartile had a multivariable-adjusted ≈3-fold increased odds ratio of belonging to the upper quartile themselves. In Denmark, a total of 68 939 individuals (mean age, 42 years) had a first-degree relative with aortic aneurysm and 7209 persons (mean age, 39 years) had a first-degree relative with aortic dissection. During an average follow-up of 7 years, first-degree relatives of patients with aortic aneurysm and dissection had a hazard ratio of 6.70 (95% CI, 5.96–7.52) for developing aortic aneurysm and a hazard ratio of 9.24 (95% CI, 5.53–15.44) for dissection in comparison with matched controls. These estimates remained unchanged on adjusting for several comorbidities, including prevalent hypertension, bicuspid aortic valve, and the Marfan syndrome. For both aortic aneurysm and dissections, the absolute event rates approached 1 per 1000 person-years for first-degree relatives versus 11 to 13 (aortic aneurysm) and 2 to 3 (aortic dissections) per 100 000 person-years among controls.
Conclusions:
Increased aortic size, a precursor of aortic aneurysm and a risk factor for dissection, clusters in families. The incidence rates of aortic aneurysm and dissections approach the incidence rates of other common cardiovascular conditions in first-degree relatives, supporting the use of systematic screening for these conditions.
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Affiliation(s)
- Jakob Raunsø
- Department of Cardiology, Herlev and Gentofte Hospital, Denmark (J.R., B.N.)
| | - Rebecca J. Song
- Department of Epidemiology (R.J.S, R.S.V.), Boston University School of Public Health, MA
| | - Ramachandran S. Vasan
- Department of Epidemiology (R.J.S, R.S.V.), Boston University School of Public Health, MA
- Department of Medicine, Section of Cardiovascular Medicine (R.S.V., C.A.), Boston University Schools of Public Health and Medicine, MA
- Boston University’s and National Heart Lung and Blood Institute’s Framingham Heart Study, MA (R.S.V., V.X., C.A.)
| | | | - Betina Nørager
- Department of Cardiology, Herlev and Gentofte Hospital, Denmark (J.R., B.N.)
| | - Christian Torp-Pedersen
- Department of Clinical Investigation and Cardiology, Nordsjaellands Hospital, Hillerød, Denmark (C.T.-P.)
- Department of Cardiology, Aalborg University Hospital, Denmark (C.T.-P.)
| | - Gunnar H. Gislason
- Department of Cardiology, Herlev and Gentofte Hospital, Denmark (G..H.G., C.A.)
- The Danish Heart Foundation, Copenhagen, Denmark (G.H.G.)
| | - Vanessa Xanthakis
- Department of Biostatistics (V.X.), Boston University School of Public Health, MA
- Boston University’s and National Heart Lung and Blood Institute’s Framingham Heart Study, MA (R.S.V., V.X., C.A.)
| | - Charlotte Andersson
- Department of Medicine, Section of Cardiovascular Medicine (R.S.V., C.A.), Boston University Schools of Public Health and Medicine, MA
- Boston University’s and National Heart Lung and Blood Institute’s Framingham Heart Study, MA (R.S.V., V.X., C.A.)
- Department of Cardiology, Herlev and Gentofte Hospital, Denmark (G..H.G., C.A.)
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Lieb W, Song RJ, Xanthakis V, Vasan RS. Association of Circulating Tissue Inhibitor of Metalloproteinases-1 and Procollagen Type III Aminoterminal Peptide Levels With Incident Heart Failure and Chronic Kidney Disease. J Am Heart Assoc 2020; 8:e011426. [PMID: 30890055 PMCID: PMC6509733 DOI: 10.1161/jaha.118.011426] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Background Tissue inhibitor of metalloproteinases-1 ( TIMP -1) and procollagen type III aminoterminal peptide are established circulating markers of extracellular matrix remodeling and associated with cardiovascular disease. The association of both biomarkers with incident congestive heart failure and chronic kidney disease ( CKD ) in the community is not well studied. Methods and Results We measured plasma total TIMP -1 and procollagen type III aminoterminal peptide levels in 922 Framingham participants (mean age, 57 years; 57% women) and related both biomarkers to the risk of incident CKD and congestive heart failure in multivariable-adjusted Cox regression models. Plasma total TIMP -1 levels were positively associated with risk of incident CKD (164 events; hazard ratio per 1 SD in log-biomarker, 1.90; 95% CI , 1.53-2.37) in multivariable models, including adjustments for left ventricular mass, C-reactive protein, and B-type natriuretic peptide levels. The association of total TIMP -1 with risk of congestive heart failure was statistically significant in an age- and sex-adjusted model, but was attenuated upon adjustment for conventional risk factors. Blood procollagen type III aminoterminal peptide levels were not related to the risk of CKD or congestive heart failure. Conclusions Higher baseline levels of total TIMP -1 conferred an increased risk for incident CKD , independent of conventional risk factors and circulating biomarkers of chronic systemic inflammation and neurohormonal activation. Our prospective observations in a large community-based sample support the role of matrix remodeling in the pathogenesis of CKD .
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Affiliation(s)
- Wolfgang Lieb
- 1 Framingham Heart Study Framingham MA.,4 Institute of Epidemiology Kiel University Kiel Germany
| | - Rebecca J Song
- 3 Department of Epidemiology Boston University School of Public Health Boston MA
| | - Vanessa Xanthakis
- 1 Framingham Heart Study Framingham MA.,2 Section of Preventive Medicine and Epidemiology Boston University School of Medicine Boston MA.,5 Department of Biostatistics Boston University School of Public Health Boston MA
| | - Ramachandran S Vasan
- 1 Framingham Heart Study Framingham MA.,2 Section of Preventive Medicine and Epidemiology Boston University School of Medicine Boston MA.,3 Department of Epidemiology Boston University School of Public Health Boston MA
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Velagaleti RS, Larson MG, Enserro D, Song RJ, Vasan RS. Clinical course after a first episode of heart failure: insights from the Framingham Heart Study. Eur J Heart Fail 2020; 22:1768-1776. [DOI: 10.1002/ejhf.1918] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Revised: 04/21/2020] [Accepted: 05/25/2020] [Indexed: 12/15/2022] Open
Affiliation(s)
- Raghava S. Velagaleti
- Framingham Heart Study Framingham MA USA
- Cardiology Section, Department of Medicine Boston VA Healthcare System West Roxbury MA USA
| | - Martin G. Larson
- Framingham Heart Study Framingham MA USA
- Department of Mathematics and Statistics Boston University Boston MA USA
| | - Danielle Enserro
- NRG Oncology, Clinical Trial Development Division, Biostatistics & Bioinformatics Roswell Park Comprehensive Cancer Center Buffalo NY USA
| | - Rebecca J. Song
- Department of Epidemiology Boston University School of Public Health Boston MA USA
| | - Ramachandran S. Vasan
- Framingham Heart Study Framingham MA USA
- Preventive Medicine and Cardiology Sections, Department of Medicine, School of Medicine, and Department of Epidemiology, School of Public Health Boston University Boston MA USA
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Wang D, Li Y, Ho YL, Nguyen XM, Song RJ, Hu FB, Willett W, Wilson PWF, Cho K, Gaziano JM, Djousse L. Plant-Based Diet and the Risk of Cardiovascular Disease and Mortality: The Million Veteran Program. Curr Dev Nutr 2020. [DOI: 10.1093/cdn/nzaa061_130] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Objectives
Although prior studies have found inverse associations of plant-based diets with the risk of coronary heart disease, the results for stroke and total mortality are inconsistent. Little is known about the associations between a plant-based diet and cardiovascular health in US Veterans. We aim to prospectively examine the associations between the adherence to a plant-based diet and the incidence of myocardial infarction (MI), acute ischemic stroke (AIS) and total mortality.
Methods
We included 181,359 participants who were free of cardiovascular disease and cancer at baseline from the Million Veteran Program. Diet was assessed using a food frequency questionnaire at baseline. We calculated a plant-based diet index (PDI) by assigning positive scores to plant foods and reverse scores to animal foods. We calculated hazard ratios (HRs) and 95% confident intervals (CIs) by comparing participants in each quintile with those in the lowest quintile of the PDI. We used electronic health records to identify incident MI and AIS cases. Information on mortality was obtained from systematic searches of the National Death Index.
Results
Over 717,857 person-years of follow-up (mean follow-up: 4 years), we documented 1467 incident MI cases, 1253 AIS cases, and 5609 deaths. After adjustment for age, sex, body mass index (BMI), total energy intake, race/ethnicity, smoking, physical activity, alcohol use, educational level, socioeconomic status and baseline histories of diabetes, hypercholesterolemia and hypertension, a higher PDI was associated with significantly lower mortality (HR comparing extreme quintiles: 0.87, 95% CI: 0.78–0.96, Ptrend = 0.006). Participants with a greater adherence to a plant-based diet experienced lower risk of incident MI and AIS (HRs comparing extreme quintiles: 0.79, 95% CI: 0.64–0.97, Ptrend = 0.02 for MI; 0.69, 95% CI: 0.55–0.85, Ptrend = 0.005 for AIS). The associations of PDI with mortality, MI and AIS were consistent across different subgroups defined by sex, age, smoking, BMI, diabetes, hypertension and hypercholesterolemia, as well as between white and African American participants.
Conclusions
A greater adherence to a plant-based diet is associated with substantially lower risk of cardiovascular disease and total mortality in this large population of Veterans.
Funding Sources
US Department of Veterans Affairs.
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Affiliation(s)
- Dong Wang
- Harvard T.H. Chan School of Public Health
| | - Yanping Li
- Harvard T.H. Chan School of Public Health
| | | | | | | | - Frank B Hu
- Harvard T.H. Chan School of Public Health
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Lee J, Song RJ, Vasan RS, Xanthakis V. Association of Cardiorespiratory Fitness and Hemodynamic Responses to Submaximal Exercise Testing With the Incidence of Chronic Kidney Disease: The Framingham Heart Study. Mayo Clin Proc 2020; 95:1184-1194. [PMID: 32498774 PMCID: PMC8569888 DOI: 10.1016/j.mayocp.2019.11.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Accepted: 11/05/2019] [Indexed: 12/19/2022]
Abstract
OBJECTIVE To relate cardiorespiratory fitness (CRF) and hemodynamic responses to exercise to the incidence of chronic kidney disease (CKD). METHODS We evaluated 2715 Framingham Offspring Study participants followed up (mean, 24.8 years) after their second examination (1979-1983) until the end of their ninth examination (2011-2014). Participants (mean age, 43 years; 1397 women [51.5%]) without prevalent CKD or cardiovascular disease at baseline were included. We examined the associations of CRF and hemodynamic response to exercise with incident CKD using multivariable Cox proportional hazards regression with discrete intervals. RESULTS Compared with low CRF (first tertile), participants with moderate (second tertile) or high (third tertile) CRF had a lower risk of CKD (hazard ratios [95% CIs]: 0.74 [0.61-0.91] and 0.73 [0.59-0.91], respectively). Participants with chronotropic incompetence (hazard ratio, 1.38 [95% CI, 1.06 to 1.79]), higher exercise systolic blood pressure (hazard ratio per SD, 1.20 [95% CI, 1.07 to 1.34]), and impaired heart rate recovery (hazard ratio, 1.51 [95% CI, 1.08 to 2.10]) had a higher risk of CKD compared with those with chronotropic competence, lower exercise systolic blood pressure, and normal heart rate recovery, respectively. These associations remained robust when the exercise variables were mutually adjusted for. The third tertile of a standardized exercise test score comprising the statistically significant variables was associated with a higher risk of CKD compared with the first tertile (hazard ratio, 1.85; 95% CI, 1.45 to 2.36). CONCLUSION Higher CRF and favorable hemodynamic responses to submaximal exercise in young adulthood may be markers of lower risk of CKD in later life.
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Affiliation(s)
- Joowon Lee
- Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, MA
| | - Rebecca J Song
- Department of Epidemiology, Boston University School of Public Health, MA
| | - Ramachandran S Vasan
- Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, MA; Department of Epidemiology, Boston University School of Public Health, MA; Framingham Heart Study, MA
| | - Vanessa Xanthakis
- Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, MA; Department of Biostatistics, Boston University School of Public Health, MA; Framingham Heart Study, MA.
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Walker ME, Song RJ, Xu X, Gerszten RE, Ngo D, Clish CB, Corlin L, Ma J, Xanthakis V, Jacques PF, Vasan RS. Proteomic and Metabolomic Correlates of Healthy Dietary Patterns: The Framingham Heart Study. Nutrients 2020; 12:E1476. [PMID: 32438708 PMCID: PMC7284467 DOI: 10.3390/nu12051476] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Revised: 05/12/2020] [Accepted: 05/16/2020] [Indexed: 02/07/2023] Open
Abstract
Data on proteomic and metabolomic signatures of healthy dietary patterns are limited. We evaluated the cross-sectional association of serum proteomic and metabolomic markers with three dietary patterns: the Alternative Healthy Eating Index (AHEI), the Dietary Approaches to Stop Hypertension (DASH) diet; and a Mediterranean-style (MDS) diet. We examined participants from the Framingham Offspring Study (mean age; 55 years; 52% women) who had complete proteomic (n = 1713) and metabolomic (n = 2284) data; using food frequency questionnaires to derive dietary pattern indices. Proteins and metabolites were quantified using the SomaScan platform and liquid chromatography/tandem mass spectrometry; respectively. We used multivariable-adjusted linear regression models to relate each dietary pattern index (independent variables) to each proteomic and metabolomic marker (dependent variables). Of the 1373 proteins; 103 were associated with at least one dietary pattern (48 with AHEI; 83 with DASH; and 8 with MDS; all false discovery rate [FDR] ≤ 0.05). We identified unique associations between dietary patterns and proteins (17 with AHEI; 52 with DASH; and 3 with MDS; all FDR ≤ 0.05). Significant proteins enriched biological pathways involved in cellular metabolism/proliferation and immune response/inflammation. Of the 216 metabolites; 65 were associated with at least one dietary pattern (38 with AHEI; 43 with DASH; and 50 with MDS; all FDR ≤ 0.05). All three dietary patterns were associated with a common signature of 24 metabolites (63% lipids). Proteins and metabolites associated with dietary patterns may help characterize intermediate phenotypes that provide insights into the molecular mechanisms mediating diet-related disease. Our findings warrant replication in independent populations.
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Affiliation(s)
- Maura E. Walker
- Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA; (L.C.); (V.X.); (R.S.V.)
| | - Rebecca J. Song
- Department of Epidemiology, Boston University School of Public Health, Boston, MA 02118, USA;
| | - Xiang Xu
- Department of Mathematics and Statistics, Boston University College of Arts and Sciences, Boston, MA 02215, USA;
| | - Robert E. Gerszten
- Division of Cardiovascular Medicine Beth Israel Deaconess Medical Center, Boston, MA 02215, USA; (R.E.G.); (D.N.)
| | - Debby Ngo
- Division of Cardiovascular Medicine Beth Israel Deaconess Medical Center, Boston, MA 02215, USA; (R.E.G.); (D.N.)
| | - Clary B. Clish
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA;
| | - Laura Corlin
- Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA; (L.C.); (V.X.); (R.S.V.)
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA 02111, USA
| | - Jiantao Ma
- Framingham Heart Study, Framingham, MA 01702, USA;
- Nutrition Epidemiology and Data Science, Tufts University Friedman School of Nutrition Science and Policy, Boston, MA 02111, USA;
| | - Vanessa Xanthakis
- Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA; (L.C.); (V.X.); (R.S.V.)
- Framingham Heart Study, Framingham, MA 01702, USA;
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Paul F. Jacques
- Nutrition Epidemiology and Data Science, Tufts University Friedman School of Nutrition Science and Policy, Boston, MA 02111, USA;
- Nutrition Epidemiology, Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA 02111, USA
| | - Ramachandran S. Vasan
- Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA; (L.C.); (V.X.); (R.S.V.)
- Department of Epidemiology, Boston University School of Public Health, Boston, MA 02118, USA;
- Framingham Heart Study, Framingham, MA 01702, USA;
- Section of Cardiovascular Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA
- Center for Computing and Data Sciences, Boston University, Boston, MA 02215, USA
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Castro-Diehl C, Song RJ, Mitchell GF, McManus D, Cheng S, Vasan RS, Xanthakis V. Association of subclinical atherosclerosis with echocardiographic indices of cardiac remodeling: The Framingham Study. PLoS One 2020; 15:e0233321. [PMID: 32413074 PMCID: PMC7228064 DOI: 10.1371/journal.pone.0233321] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Accepted: 05/02/2020] [Indexed: 12/02/2022] Open
Abstract
Background It is well established that coronary artery disease progresses along with myocardial disease. However, data on the association between coronary artery calcium (CAC) and echocardiographic variables are lacking. Methods and results Among 2,650 Framingham Study participants (mean age 51 yrs, 48% women; 40% with CAC>0), we related CT-based CAC score to left ventricular (LV) mass index (LVMi), LV ejection fraction (LVEF), E/e’, global longitudinal strain (GLS), left atrial emptying fraction (LAEF), and aortic root diameter (AoR), using multivariable-adjusted generalized linear models. CAC score (independent variable) was used as log-transformed continuous [ln(CAC+1)] and as a categorical (0, 1–100, and ≥101) variable. Adjusting for standard risk factors, higher CAC score was associated with higher LVMi and AoR (βLVMI per 1-SD increase 0.012, βAoR 0.008; P<0.05, for both). Participants with 1≤CAC≤100 and those with CAC≥101 had higher AoR (βAoR 0.013 and 0.020, respectively, P = 0.01) than those with CAC = 0. CAC score was not significantly associated with LVEF, E/e’, GLS or LAEF. Age modified the association of CAC score with AoR; higher CAC scores were associated with larger AoR more strongly in older (>58 years; βAoR0.0042;P<0.007) than in younger (≤58 years) participants (βAoR0.0027;P<0.03). Conclusions We observed that subclinical atherosclerosis was associated with ventricular and aortic remodeling. The prognostic significance of these associations warrants evaluation in additional mechanistic studies.
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Affiliation(s)
- Cecilia Castro-Diehl
- Department of Medicine, Section of Preventive Medicine and Epidemiology, Boston University School of Medicine, Boston, Massachusetts, United States of America
| | - Rebecca J. Song
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, United States of America
| | - Gary F. Mitchell
- Cardiovascular Engineering, Inc, Norwood, MA, United States of America
| | - David McManus
- Department of Medicine, University of Massachusetts Medical School, Worcester, MA, United States of America
| | - Susan Cheng
- Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States of America
| | - Ramachandran S. Vasan
- Department of Medicine, Section of Preventive Medicine and Epidemiology, Boston University School of Medicine, Boston, Massachusetts, United States of America
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, United States of America
- Boston University’s and National Heart, Lung and Blood Institute’s Framingham Heart Study, Framingham, MA, United States of America
- Department of Medicine, Section of Cardiology, Boston University School of Medicine, Boston, Massachusetts, United States of America
| | - Vanessa Xanthakis
- Department of Medicine, Section of Preventive Medicine and Epidemiology, Boston University School of Medicine, Boston, Massachusetts, United States of America
- Boston University’s and National Heart, Lung and Blood Institute’s Framingham Heart Study, Framingham, MA, United States of America
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States of America
- * E-mail:
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Raghavan S, Vassy JL, Ho YL, Song RJ, Gagnon DR, Cho K, Wilson PWF, Phillips LS. Diabetes Mellitus-Related All-Cause and Cardiovascular Mortality in a National Cohort of Adults. J Am Heart Assoc 2020; 8:e011295. [PMID: 30776949 PMCID: PMC6405678 DOI: 10.1161/jaha.118.011295] [Citation(s) in RCA: 231] [Impact Index Per Article: 57.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Background Diabetes mellitus is a risk factor for cardiovascular disease ( CVD ) and has been associated with 2- to 4-fold higher mortality. Diabetes mellitus-related mortality has not been reassessed in individuals receiving routine care in the United States in the contemporary era of CVD risk reduction. Methods and Results We retrospectively studied 963 648 adults receiving care in the US Veterans Affairs Healthcare System from 2002 to 2014; mean follow-up was 8 years. We estimated associations of diabetes mellitus status and hemoglobin A1c (HbA1c) with all-cause and CVD mortality using covariate-adjusted incidence rates and multivariable Cox proportional hazards regression. Of participants, 34% had diabetes mellitus. Compared with nondiabetic individuals, patients with diabetes mellitus had 7.0 (95% CI , 6.7-7.4) and 3.5 (95% CI, 3.3-3.7) deaths/1000-person-years higher all-cause and CVD mortality, respectively. The age-, sex-, race-, and ethnicity-adjusted hazard ratio for diabetes mellitus-related mortality was 1.29 (95% CI, 1.28-1.31), and declined with adjustment for CVD risk factors (hazard ratio, 1.18 [95% CI, 1.16-1.19]) and glycemia (hazard ratio, 1.03 [95% CI, 1.02-1.05]). Among individuals with diabetes mellitus, CVD mortality increased as HbA1c exceeded 7% (hazard ratios, 1.11 [95% CI, 1.08-1.14], 1.25 [95% CI, 1.22-1.29], and 1.52 [95% CI, 1.48-1.56] for HbA1c 7%-7.9%, 8%-8.9%, and ≥9%, respectively, relative to HbA1c 6%-6.9%). HbA1c 6% to 6.9% was associated with the lowest mortality risk irrespective of CVD history or age. Conclusions Diabetes mellitus remains significantly associated with all-cause and CVD mortality, although diabetes mellitus-related excess mortality is lower in the contemporary era than previously. We observed a gradient of mortality risk with increasing HbA1c >6% to 6.9%, suggesting HbA1c remains an informative predictor of outcomes even if causality cannot be inferred.
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Affiliation(s)
- Sridharan Raghavan
- 1 Department of Veterans Affairs Eastern Colorado Healthcare System Aurora CO.,2 Division of Hospital Medicine University of Colorado School of Medicine Aurora CO.,3 Colorado Cardiovascular Outcomes Research Consortium Aurora CO
| | - Jason L Vassy
- 4 Department of Veterans Affairs Boston Healthcare System Boston MA.,5 Department of Medicine Harvard Medical School Boston MA
| | - Yuk-Lam Ho
- 4 Department of Veterans Affairs Boston Healthcare System Boston MA
| | - Rebecca J Song
- 4 Department of Veterans Affairs Boston Healthcare System Boston MA
| | - David R Gagnon
- 4 Department of Veterans Affairs Boston Healthcare System Boston MA.,6 Department of Biostatistics Boston University School of Public Health Boston MA
| | - Kelly Cho
- 4 Department of Veterans Affairs Boston Healthcare System Boston MA.,5 Department of Medicine Harvard Medical School Boston MA
| | - Peter W F Wilson
- 7 Department of Veterans Affairs Atlanta Medical Center Atlanta GA.,8 Division of Cardiology Emory University School of Medicine Atlanta GA
| | - Lawrence S Phillips
- 7 Department of Veterans Affairs Atlanta Medical Center Atlanta GA.,9 Division of Endocrinology Emory University School of Medicine Atlanta GA
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Abstract
Chronic kidney disease (CKD) is associated with incident cardiovascular morbidity and mortality. Whether subclinical cardiovascular disease and target organ damage is associated with incident CKD is unknown. We investigated the relations of echocardiographic left ventricular mass (LVM) with incident CKD. We evaluated 2258 Framingham Offspring cohort participants (mean age, 57 years; 56% women) who underwent echocardiography at a routine examination and had an estimated glomerular filtration rate ≥60 mL/min per 1.73 m2. We used Cox proportional hazards regression with discrete time intervals to relate sex-standardized LVM (independent variable) to the incidence of CKD, defined as estimated glomerular filtration rate <60 L/min per 1.73 m2, on follow-up. During a median follow-up of 14.6 years, 373 (16.5%) participants developed incident CKD. Higher LVM was associated with higher risk of CKD after adjusting for prevalent cardiovascular disease, body mass index, systolic blood pressure, total and HDL (high-density lipoprotein) cholesterol, antihypertensive medication, smoking, and diabetes mellitus (hazard ratio, 1.15 [95% CI, 1.03-1.29]; P=0.017) per 1-SD increase in LVM g/m2. Further adjustment for baseline estimated glomerular filtration rate (adjusted hazard ratio, 1.16 [95% CI, 1.04-1.31]; P=0.010) and baseline urine albumin/creatinine ratio (adjusted hazard ratio, 1.18 [95% CI, 1.04-1.33]; P=0.009) slightly attenuated the association. In our community-based sample, LVM was associated with incident CKD prospectively, which suggests that the relations between CKD and subclinical cardiovascular disease may be bidirectional. Further studies are needed to confirm our findings.
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Affiliation(s)
- Rajiv Agarwal
- From the Division of Nephrology, Department of Medicine, Richard L. Roudebush VA Medical Center, Indiana University School of Medicine, Indianapolis (R.A.)
| | - Rebecca J Song
- Department of Epidemiology (R.J.S., R.S.V.), Boston University School of Public Health, MA
| | - Ramachandran S Vasan
- Section of Preventive Medicine (R.S.V., V.X.), Department of Medicine, Boston University School of Medicine, MA.,Section of Cardiology (R.S.V.), Department of Medicine, Boston University School of Medicine, MA.,Department of Epidemiology (R.J.S., R.S.V.), Boston University School of Public Health, MA.,Boston University and NHLBI's Framingham Heart Study, MA (R.S.V., V.X.)
| | - Vanessa Xanthakis
- Section of Preventive Medicine (R.S.V., V.X.), Department of Medicine, Boston University School of Medicine, MA.,Department of Biostatistics (V.X.), Boston University School of Public Health, MA.,Boston University and NHLBI's Framingham Heart Study, MA (R.S.V., V.X.)
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Harrington KM, Nguyen XMT, Song RJ, Hannagan K, Quaden R, Gagnon DR, Cho K, Deen JE, Muralidhar S, O'Leary TJ, Gaziano JM, Whitbourne SB. Gender Differences in Demographic and Health Characteristics of the Million Veteran Program Cohort. Womens Health Issues 2019; 29 Suppl 1:S56-S66. [PMID: 31253243 PMCID: PMC7061933 DOI: 10.1016/j.whi.2019.04.012] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2018] [Revised: 04/13/2019] [Accepted: 04/19/2019] [Indexed: 01/16/2023]
Abstract
BACKGROUND The Department of Veterans Affairs Million Veteran Program (MVP) is the largest ongoing cohort program of its kind, with 654,903 enrollees as of June 2018. The objectives of this study were to examine gender differences in the MVP cohort with respect to response and enrollment rates; demographic, health, and health care characteristics; and prevalence of self-reported health conditions. METHODS The MVP Baseline Survey was completed by 415,694 veterans (8% women), providing self-report measures of demographic characteristics, health status, and medical history. RESULTS Relative to men, women demonstrated a higher positive responder rate (23.0% vs. 16.0%), slightly higher enrollment rate (13.5% vs. 12.9%), and, among enrollees, a lower survey completion rate (59.7% vs. 63.8%). Women were younger, more racially diverse, had higher educational attainment, and were less likely to be married or cohabitating with a partner than men. Women were more likely to report good to excellent health status but poorer physical fitness, and less likely to report lifetime smoking and drinking than men. Compared with men, women veterans showed an increased prevalence of musculoskeletal conditions, thyroid problems, gastrointestinal conditions, migraine headaches, and mental health disorders, as well as a decreased prevalence of gout, cardiovascular diseases, high cholesterol, diabetes, and hearing problems. CONCLUSIONS These results revealed some substantial gender differences in the research participation rates, demographic profile, health characteristics, and prevalence of health conditions for veterans in the MVP cohort. Findings highlight the need for tailoring recruitment efforts to ensure representation of the increasing women veteran population receiving care through the Veterans Health Administration.
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Affiliation(s)
- Kelly M Harrington
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts; Department of Psychiatry, Boston University School of Medicine, Boston, Massachusetts.
| | - Xuan-Mai T Nguyen
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts; Department of Medicine, Division of Aging, Brigham and Women's Hospital, Boston, Massachusetts; Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Rebecca J Song
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts; Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - Keri Hannagan
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts
| | - Rachel Quaden
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts
| | - David R Gagnon
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts; Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Kelly Cho
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts; Department of Medicine, Division of Aging, Brigham and Women's Hospital, Boston, Massachusetts; Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Jennifer E Deen
- Office of Research and Development, Veterans Health Administration, Washington, District of Columbia
| | - Sumitra Muralidhar
- Office of Research and Development, Veterans Health Administration, Washington, District of Columbia
| | - Timothy J O'Leary
- Office of Research and Development, Veterans Health Administration, Washington, District of Columbia; Department of Pathology, University of Maryland School of Medicine, Baltimore, Maryland
| | - John Michael Gaziano
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts; Department of Medicine, Division of Aging, Brigham and Women's Hospital, Boston, Massachusetts; Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Stacey B Whitbourne
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts; Department of Medicine, Division of Aging, Brigham and Women's Hospital, Boston, Massachusetts; Department of Medicine, Harvard Medical School, Boston, Massachusetts
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Djoussé L, Song RJ, Cho K, Gaziano JM, Gagnon DR. Association of statin therapy with incidence of type 2 diabetes among US Veterans. J Clin Cardiol Cardiovasc Ther 2019; 1. [PMID: 31660540 DOI: 10.31546/jcccvt.1002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Aims While some but not all trial data have suggested an elevated risk of type 2 diabetes with statin use, limited data are available on the relation of statin treatment with glycaemia and risk of type 2 diabetes among Veterans. We examined whether statin use was associated with a higher incidence of type 2 diabetes and secondarily, if statin use was associated with high plasma glucose. Methods Prospective analysis based on electronic health records of 3,390,799 US Veterans from 2000 to 2012. We used the Veteran Administration Corporate Data Warehouse to obtain information on random plasma glucose. Statin use was captured using the pharmacy database. type 2 diabetes was defined as having at least one inpatient diagnosis or at least two outpatient diagnoses of type 2 diabetes using International Classification of Disease version 9 codes 250.xx, or the use of hypoglycemic agents. We used multi-level derived propensity score and inverse probability weighting to address confounding by indication and Cox regression to estimate relative risk of type 2 diabetes. Results The mean age was 62±11.9 years; 93.3% were men and 82.7% were white. During a median follow-up of 3.0 years, 443,104 new cases of type 2 diabetes occurred. Compared to no statin use, multivariable adjusted hazard ratio (95% CI) for type 2 diabetes was 1.21 (1.19-1.24) for low statin potency, 1.22 (1.21-1.23) for medium statin potency, and 1.34 (1.32-1.36) for high statin potency (p linear trend <0.0001). In secondary analysis, statin use was not associated with higher plasma glucose. Conclusions Our data show a positive association between statin use and incidence of type 2 diabetes among US Veterans.
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Affiliation(s)
- Luc Djoussé
- Massachusetts Veterans Epidemiology and Research Information Center (MAVERIC), Boston Veterans Affairs Healthcare System, Boston, MA.,The Division of Aging, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Rebecca J Song
- Massachusetts Veterans Epidemiology and Research Information Center (MAVERIC), Boston Veterans Affairs Healthcare System, Boston, MA.,Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | - Kelly Cho
- Massachusetts Veterans Epidemiology and Research Information Center (MAVERIC), Boston Veterans Affairs Healthcare System, Boston, MA.,The Division of Aging, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - J Michael Gaziano
- Massachusetts Veterans Epidemiology and Research Information Center (MAVERIC), Boston Veterans Affairs Healthcare System, Boston, MA.,The Division of Aging, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - David R Gagnon
- Massachusetts Veterans Epidemiology and Research Information Center (MAVERIC), Boston Veterans Affairs Healthcare System, Boston, MA.,Department of Biostatistics, Boston University School of Public Health, Boston, MA
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Wesselink AK, Hatch EE, Rothman KJ, Weuve JL, Aschengrau A, Song RJ, Wise LA. Perceived Stress and Fecundability: A Preconception Cohort Study of North American Couples. Am J Epidemiol 2018; 187:2662-2671. [PMID: 30137198 DOI: 10.1093/aje/kwy186] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2018] [Accepted: 08/16/2018] [Indexed: 11/14/2022] Open
Abstract
While some epidemiologic studies support the hypothesis that stress can adversely affect fertility, few prospective studies have assessed the association in couples from the general population. We used data from Pregnancy Study Online, a web-based preconception cohort study of pregnancy planners from the United States and Canada (2013-2018), to examine the association between women's and men's perceived stress levels prior to conception and fecundability. Women (aged 21-45 years) and their male partners (aged ≥21 years) who were attempting conception without fertility treatment were eligible. We measured perceived stress using the 10-item Perceived Stress Scale (PSS). We ascertained pregnancy information using bimonthly follow-up questionnaires of female participants. We followed 4,769 couples until self-reported pregnancy, initiation of fertility treatment, loss to follow-up, or 12 menstrual cycles of attempt time, whichever came first. We used proportional probabilities regression models to estimate fecundability ratios and 95% confidence intervals, adjusting for potential confounders. Higher PSS scores among the women were associated with slight reductions in fecundability (comparing PSS scores of ≥25 vs. <10, fecundability ratio = 0.87, 95% confidence interval: 0.74, 1.02). PSS scores among the men were not substantially associated with fecundability.
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Affiliation(s)
- Amelia K Wesselink
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - Elizabeth E Hatch
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - Kenneth J Rothman
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
- RTI International, Research Triangle Park, North Carolina
| | - Jennifer L Weuve
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - Ann Aschengrau
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - Rebecca J Song
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - Lauren A Wise
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
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Imran TF, Posner D, Honerlaw J, Vassy JL, Song RJ, Ho YL, Kittner SJ, Liao KP, Cai T, O'Donnell CJ, Djousse L, Gagnon DR, Gaziano JM, Wilson PW, Cho K. A phenotyping algorithm to identify acute ischemic stroke accurately from a national biobank: the Million Veteran Program. Clin Epidemiol 2018; 10:1509-1521. [PMID: 30425582 PMCID: PMC6201999 DOI: 10.2147/clep.s160764] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
Background Large databases provide an efficient way to analyze patient data. A challenge with these databases is the inconsistency of ICD codes and a potential for inaccurate ascertainment of cases. The purpose of this study was to develop and validate a reliable protocol to identify cases of acute ischemic stroke (AIS) from a large national database. Methods Using the national Veterans Affairs electronic health-record system, Center for Medicare and Medicaid Services, and National Death Index data, we developed an algorithm to identify cases of AIS. Using a combination of inpatient and outpatient ICD9 codes, we selected cases of AIS and controls from 1992 to 2014. Diagnoses determined after medical-chart review were considered the gold standard. We used a machine-learning algorithm and a neural network approach to identify AIS from ICD9 codes and electronic health-record information and compared it with a previous rule-based stroke-classification algorithm. Results We reviewed administrative hospital data, ICD9 codes, and medical records of 268 patients in detail. Compared with the gold standard, this AIS algorithm had a sensitivity of 91%, specificity of 95%, and positive predictive value of 88%. A total of 80,508 highly likely cases of AIS were identified using the algorithm in the Veterans Affairs national cardiovascular disease-risk cohort (n=2,114,458). Conclusion Our algorithm had high specificity for identifying AIS in a nationwide electronic health-record system. This approach may be utilized in other electronic health databases to accurately identify patients with AIS.
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Affiliation(s)
- Tasnim F Imran
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Cooperative Studies Program, VA Boston Healthcare System, Boston, MA, USA, .,Department of Medicine, Cardiology Section, Boston Medical Center, Boston University School of Medicine, Boston, MA, USA
| | - Daniel Posner
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Cooperative Studies Program, VA Boston Healthcare System, Boston, MA, USA, .,Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Jacqueline Honerlaw
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Cooperative Studies Program, VA Boston Healthcare System, Boston, MA, USA,
| | - Jason L Vassy
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Cooperative Studies Program, VA Boston Healthcare System, Boston, MA, USA, .,Department of Medicine, Division of Aging, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA,
| | - Rebecca J Song
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Cooperative Studies Program, VA Boston Healthcare System, Boston, MA, USA,
| | - Yuk-Lam Ho
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Cooperative Studies Program, VA Boston Healthcare System, Boston, MA, USA,
| | - Steven J Kittner
- Department of Neurology, Baltimore VA Medical Center and University of Maryland School of Medicine, Baltimore, MD, USA
| | - Katherine P Liao
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Cooperative Studies Program, VA Boston Healthcare System, Boston, MA, USA, .,Department of Medicine, Division of Aging, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA,
| | - Tianxi Cai
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Cooperative Studies Program, VA Boston Healthcare System, Boston, MA, USA, .,Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Christopher J O'Donnell
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Cooperative Studies Program, VA Boston Healthcare System, Boston, MA, USA, .,Department of Medicine, Division of Aging, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA,
| | - Luc Djousse
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Cooperative Studies Program, VA Boston Healthcare System, Boston, MA, USA, .,Department of Medicine, Division of Aging, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA,
| | - David R Gagnon
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Cooperative Studies Program, VA Boston Healthcare System, Boston, MA, USA, .,Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - J Michael Gaziano
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Cooperative Studies Program, VA Boston Healthcare System, Boston, MA, USA, .,Department of Medicine, Division of Aging, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA,
| | - Peter Wf Wilson
- Atlanta VA Medical Center, Decatur, GA, USA.,Department of Medicine, Division of Cardiovascular Disease, Emory University School of Medicine, Atlanta, GA, USA
| | - Kelly Cho
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Cooperative Studies Program, VA Boston Healthcare System, Boston, MA, USA, .,Department of Medicine, Division of Aging, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA,
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Nguyen XMT, Quaden RM, Song RJ, Ho YL, Honerlaw J, Whitbourne S, DuVall SL, Deen J, Pyarajan S, Moser J, Huang GD, Muralidhar S, Concato J, Tsao PS, O’Donnell CJ, Wilson PWF, Djousse L, Gagnon DR, Gaziano JM, Cho K. Baseline Characterization and Annual Trends of Body Mass Index for a Mega-Biobank Cohort of US Veterans 2011-2017. J Health Res Rev Dev Ctries 2018; 5:98-107. [PMID: 33117892 PMCID: PMC7590919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
AIM Million Veteran Program (MVP) is the largest ongoing mega-cohort biobank program in the US with 570,131 enrollees as of May 2017. The primary aim is to describe demographics, military service, and major diseases and comorbidities of the MVP cohort. Our secondary aim is to examine body mass index (BMI), a proxy for general health, among enrollees. MATERIALS AND METHOD The study population consists of Veterans who actively use the Veterans Health Administration in the US. Data evaluated in this paper combine health information from multiple sources to provide the most comprehensive demographic profile and information on height and weight of MVP enrollees. A standardized cleaning algorithm was used to curate the demographic variables for each participant in MVP. For height and weight, we derived a final data point for each participant to evaluate BMI. STATISTICAL ANALYSIS USED Multivariable logistic regression was used to compare the differences in BMI categories across enrollment years adjusting for gender, race, and age. P < 0.05 was considered statistically significant. All analyses were conducted using Statistical Analysis System 9.2. RESULTS The MVP cohort consists of 90.4% of males with an average age of 61.9 years (standard deviation [SD] = 13.9). MVP is the largest multiethnic biobank cohort within the Veteran population with 73.9% White, 19.0% Black, and 6.5% Hispanic. The most common self-reported disease was hypertension (62.6%) for males and depression (47.5%) for females. Mean BMI was 29.7 kg/m2 (SD = 5.8) with 38.2% obese and 42.3% overweight. CONCLUSIONS Our findings suggest that demographic representation in MVP is similar to the Veterans Health Administration population and contrasts with the overall National Health and Nutrition Examination Survey US population. The prevalence of overweight and obese is high among US Veterans, and future studies will examine the role of BMI and disease risk in the Veteran population.
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Affiliation(s)
- Xuan-Mai T. Nguyen
- Massachusetts Area Veterans Epidemiology Research and Information Center, Veterans Affairs Boston Healthcare System, Boston, MA,Department of Medicine, Division of Aging, Brigham and Women’s Hospital, Boston, MA,Department of Medicine, Harvard Medical School, Boston, MA
| | - Rachel M. Quaden
- Massachusetts Area Veterans Epidemiology Research and Information Center, Veterans Affairs Boston Healthcare System, Boston, MA
| | - Rebecca J. Song
- Massachusetts Area Veterans Epidemiology Research and Information Center, Veterans Affairs Boston Healthcare System, Boston, MA
| | - Yuk-Lam Ho
- Massachusetts Area Veterans Epidemiology Research and Information Center, Veterans Affairs Boston Healthcare System, Boston, MA
| | - Jacqueline Honerlaw
- Massachusetts Area Veterans Epidemiology Research and Information Center, Veterans Affairs Boston Healthcare System, Boston, MA
| | - Stacey Whitbourne
- Massachusetts Area Veterans Epidemiology Research and Information Center, Veterans Affairs Boston Healthcare System, Boston, MA,Department of Medicine, Division of Aging, Brigham and Women’s Hospital, Boston, MA,Department of Medicine, Harvard Medical School, Boston, MA
| | - Scott L. DuVall
- Department of Veterans Affairs Salt Lake City Health Care System, Salt Lake City, UT,Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT
| | - Jennifer Deen
- Office of Research and Development, Veterans Health Administration, Washington, DC
| | - Saiju Pyarajan
- Massachusetts Area Veterans Epidemiology Research and Information Center, Veterans Affairs Boston Healthcare System, Boston, MA,Department of Medicine, Harvard Medical School, Boston, MA
| | - Jennifer Moser
- Office of Research and Development, Veterans Health Administration, Washington, DC
| | - Grant D. Huang
- Office of Research and Development, Veterans Health Administration, Washington, DC
| | - Sumitra Muralidhar
- Office of Research and Development, Veterans Health Administration, Washington, DC
| | - John Concato
- Veterans Affairs Connecticut Healthcare System, West Haven, CT,Department of Internal Medicine, Yale School of Medicine, New Haven, CT
| | - Philip S. Tsao
- Veterans Affairs Palo Alto Healthcare System, Palo Alto, CA,Department of Medicine, Stanford University School of Medicine, Stanford, CA
| | - Christopher J. O’Donnell
- Massachusetts Area Veterans Epidemiology Research and Information Center, Veterans Affairs Boston Healthcare System, Boston, MA,Department of Medicine, Harvard Medical School, Boston, MA,Department of Medicine, Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Boston, MA
| | - Peter W. F. Wilson
- Atlanta Veterans Affairs Medical Center, Atlanta, GA,School of Medicine and Public Health, Emory University, Atlanta, GA, USA
| | - Luc Djousse
- Massachusetts Area Veterans Epidemiology Research and Information Center, Veterans Affairs Boston Healthcare System, Boston, MA,Department of Medicine, Division of Aging, Brigham and Women’s Hospital, Boston, MA,Department of Medicine, Harvard Medical School, Boston, MA,Geriatric Research, Education, and Clinical Center, Veterans Affairs Boston Healthcare System, Boston, MA
| | - David R. Gagnon
- Massachusetts Area Veterans Epidemiology Research and Information Center, Veterans Affairs Boston Healthcare System, Boston, MA,Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - J. Michael Gaziano
- Massachusetts Area Veterans Epidemiology Research and Information Center, Veterans Affairs Boston Healthcare System, Boston, MA,Department of Medicine, Division of Aging, Brigham and Women’s Hospital, Boston, MA,Department of Medicine, Harvard Medical School, Boston, MA
| | - Kelly Cho
- Massachusetts Area Veterans Epidemiology Research and Information Center, Veterans Affairs Boston Healthcare System, Boston, MA,Department of Medicine, Division of Aging, Brigham and Women’s Hospital, Boston, MA,Department of Medicine, Harvard Medical School, Boston, MA
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Song RJ, Chenine AL, Rasmussen RA, Ruprecht CR, Mirshahidi S, Grisson RD, Xu W, Whitney JB, Goins LM, Ong H, Li PL, Shai-Kobiler E, Wang T, McCann CM, Zhang H, Wood C, Kankasa C, Secor WE, McClure HM, Strobert E, Else JG, Ruprecht RM. Molecularly cloned SHIV-1157ipd3N4: a highly replication- competent, mucosally transmissible R5 simian-human immunodeficiency virus encoding HIV clade C Env. J Virol 2006; 80:8729-38. [PMID: 16912320 PMCID: PMC1563858 DOI: 10.1128/jvi.00558-06] [Citation(s) in RCA: 129] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2006] [Accepted: 06/16/2006] [Indexed: 02/04/2023] Open
Abstract
Human immunodeficiency virus type 1 (HIV-1) clade C causes >50% of all HIV infections worldwide, and an estimated 90% of all transmissions occur mucosally with R5 strains. A pathogenic R5 simian-human immunodeficiency virus (SHIV) encoding HIV clade C env is highly desirable to evaluate candidate AIDS vaccines in nonhuman primates. To this end, we generated SHIV-1157i, a molecular clone from a Zambian infant isolate that carries HIV clade C env. SHIV-1157i was adapted by serial passage in five monkeys, three of which developed peripheral CD4(+) T-cell depletion. After the first inoculated monkey developed AIDS at week 137 postinoculation, transfer of its infected blood to a naïve animal induced memory T-cell depletion and thrombocytopenia within 3 months in the recipient. In parallel, genomic DNA from the blood donor was amplified to generate the late proviral clone SHIV-1157ipd3. To increase the replicative capacity of SHIV-1157ipd3, an extra NF-kappaB binding site was engineered into its 3' long terminal repeat, giving rise to SHIV-1157ipd3N4. This virus was exclusively R5 tropic and replicated more potently in rhesus peripheral blood mononuclear cells than SHIV-1157ipd3 in the presence of tumor necrosis factor alpha. Rhesus macaques of Indian and Chinese origin were next inoculated intrarectally with SHIV-1157ipd3N4; this virus replicated vigorously in both sets of monkeys. We conclude that SHIV-1157ipd3N4 is a highly replication-competent, mucosally transmissible R5 SHIV that represents a valuable tool to test candidate AIDS vaccines targeting HIV-1 clade C Env.
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Affiliation(s)
- R J Song
- Dana-Farber Cancer Institute, Boston, Massachusetts 02115, USA
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Abstract
More than 20 million people have died since the discovery of human immunodeficiency virus (HIV), yet a broadly reactive AIDS vaccine remains elusive. Neutralizing antibody (nAb) response-based vaccine strategies were the first to be tested; however, when the difficulty in neutralizing primary HIV isolates was recognized, vaccine development focused instead on generating cytotoxic T-lymphocyte (CTL) responses. Recently, interest in anti-HIV nAbs has been revived by the impressive protection achieved in primates given passive immunization with neutralizing monoclonal antibodies (nmAbs) isolated from HIV clade B-infected individuals. The nmAbs used in these studies target conserved, functionally important epitopes in HIV gp120 and gp41. Regimens involving combinations of such human nmAbs or high-dose single-agent nmAb protected monkeys against intravenous (iv) and mucosal challenges with simian-human immunodeficiency virus (SHIV) strains encoding X4, X4R5 or R5 HIV env genes. In several such studies, sterilizing immunity was achieved, thus providing proof-of-concept that nAbs targeting conserved epitopes can be fully protective. The existence of these broadly reactive nmAbs suggests that it may be possible to design immunogens capable of inducing similar nAb responses by active vaccination. Unraveling the three-dimensional structures involved in the nmAb-HIV Env epitope interactions may facilitate the future development of a potent AIDS vaccine. This review is focused on the importance of nAbs in protecting against HIV infection or in containing viral spread, with particular emphasis on the successful use of nmAbs in passive immunization studies. The implications of the data from these studies on AIDS vaccine design in general are also discussed.
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Affiliation(s)
- C M Mc Cann
- Department of Cancer Immunology and AIDS, Dana-Farber Cancer Institute, Boston, MA 02115, USA
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Terra RM, Plopper C, Waitzberg DL, Cukier C, Santoro S, Martins JR, Song RJ, Gama-Rodrigues J. Remaining small bowel length: association with catheter sepsis in patients receiving home total parenteral nutrition: evidence of bacterial translocation. World J Surg 2000; 24:1537-41. [PMID: 11193720 DOI: 10.1007/s002680010274] [Citation(s) in RCA: 60] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Patients with short bowel syndrome (SBS) receiving total parenteral nutrition (TPN) have a high incidence of catheter-related sepsis, one of its major complications. The aim of this study was to correlate the length of remaining small bowel (RSB) with septic episodes related to the central venous catheter in a group of patients with severe SBS with home TPN. The length of the RSB (<50 cm or > or = 50 cm) was related to the frequency of catheter sepsis, time until the first episode, and the agents responsible in eight SBS patients receiving home TPN. There were 13 episodes of catheter infection (0.88 per patient-year). The group with a shorter RSB length (five patients) presented 1.3 to 2.76 infections/year and 2 to 9 months until the first episode, compared to 0 to 0.75 infections/ year (p = 0.0357) and 11 to 65 months until the first episode (p = 0.0332) in the group with the longer RSB. In the first group, the agents isolated were Enterobacteriae (Enterobacter sp., Klebsiella sp., Pseudomonas sp., and Proteus sp.) in eight episodes and Candida sp. in one. In the latter sepsis was caused by Staphylococcus sp. in three episodes and Pseudomonas sp. in one. Therefore patients with remaining small bowel shorter than 50 cm have a higher frequency of catheter-related sepsis, particularly by enteric microorganisms. This might be an evidence of the occurrence of bacterial translocation and its role in the pathogenesis of catheter-related sepsis in patients with an extremely short RSB receiving home TPN.
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Affiliation(s)
- R M Terra
- Faculty of Medicine, University of São Paulo, SP, Brazil
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Brauer M, Lee K, Spengler JD, Salonen RO, Pennanen A, Braathen OA, Mihalikova E, Miskovic P, Nozaki A, Tsuzuki T, Song RJ, Yang X, Zeng QX, Drahonovska H, Kjaergaard S. Nitrogen dioxide in indoor ice skating facilities: an international survey. J Air Waste Manag Assoc 1997; 47:1095-1102. [PMID: 9354146 DOI: 10.1080/10473289.1997.10464399] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
Abstract
An international survey of nitrogen dioxide (NO2) levels inside indoor ice skating facilities was conducted. One-week average NO2 concentrations were measured inside and outside of 332 ice rinks located in nine countries. Each rink manager also completed a questionnaire describing the building, the resurfacing machines, and their use patterns. The (arithmetic) mean NO2 level for all rinks in the study was 228 ppb, with a range of 1-2,680 ppb, based on a sample collected at breathing height and adjacent to the ice surface. The mean of the second indoor sample (collected at a spectator's area) was 221 ppb, with a range of 1-3,175 ppb. The ratio of the indoor to outdoor NO2 concentrations was above 1 for 95% of the rinks sampled, indicating the presence of an indoor NO2 source (mean indoor:outdoor ratio = 20). Estimates of short-term NO2 concentrations indicated that as many as 40% of the sampled rinks would have exceeded the World Health Organization 1-hour guideline value of 213 ppb NO2 for indoor air. Statistically significant associations were observed between NO2 levels and the type of fuel used to power the resurfacer, the absence of a catalytic converter on a resurfacer, and the use of an ice edger. There were also indications that decreased use of mechanical ventilation, increased number of resurfacing operations per day, and smaller rink volumes were associated with increased NO2 levels. In rinks where the main resurfacer was powered by propane, the NO2 concentrations were higher than in those with gasoline-powered resurfacers, while the latter had NO2 concentrations higher than in those using diesel. Rinks where the main resurfacer was electric had the lowest indoor NO2 concentrations, similar to the levels measured outdoors.
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Affiliation(s)
- M Brauer
- University of British Columbia, Department of Medicine, Vancouver, Canada
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