Dariush Mozaffarian1, Aruna Kamineni, Ronald J Prineas, David S Siscovick. 1. Division of Cardiovascular Medicine, Brigham and Women's Hospital and Harvard Medical School, and Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA. dmozaffa@hsph.harvard.edu
Abstract
BACKGROUND: The utility of metabolic syndrome (MetS) for predicting mortality among older adults, the highest-risk population, is not well established. In addition, few studies have compared the predictive utility of MetS to that of its individual risk factors. METHODS: We evaluated relationships of MetS (as defined by the National Cholesterol Education Program Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults [Adult Treatment Panel III (ATPIII)], International Diabetes Foundation [IDF], and World Health Organization [WHO]) and individual MetS criteria with mortality between 1989 and 2004 among 4258 US adults 65 years or older and free of prevalent cardiovascular disease (CVD) in the Cardiovascular Health Study, a multicenter, population-based, prospective cohort. Total, CVD, and non-CVD mortality were evaluated. Cox proportional hazards models were used to estimate the mortality hazard ratio (relative risk [RR]) predicted by MetS. RESULTS: At baseline (mean age, 73 years), 31% of men and 38% of women had MetS (ATPIII). During 15 years of follow-up, 2116 deaths occurred. After multivariable adjustment, compared with persons without MetS, those with MetS had a 22% higher mortality (RR, 1.22; 95% confidence interval [CI], 1.11-1.34). Higher risk with MetS was confined to persons having elevated fasting glucose level (EFG) (defined as > or = 110 mg/dL [> or = 6.1 mmol/L] or treated diabetes mellitus) (RR, 1.41; 95% CI, 1.27-1.57) or hypertension (RR, 1.26; 95% CI, 1.15-1.39) as one of the criteria; persons having MetS without EFG (RR, 0.97; 95% CI, 0.85-1.11) or MetS without hypertension (RR, 0.92; 95% CI, 0.71-1.19) did not have higher risk. Evaluating MetS criteria individually, we found that only hypertension and EFG predicted higher mortality; persons having both hypertension and EFG had 82% higher mortality (RR, 1.82; 95% CI, 1.58-109). Substantially higher proportions of deaths were attributable to EFG and hypertension (population attributable risk fraction [PAR%], 22.2%) than to MetS (PAR%, 6.3%). Results were similar when we used WHO or IDF criteria, when we evaluated different cut points of each individual criterion, and when we evaluated CVD mortality. CONCLUSION: These findings suggest limited utility of MetS for predicting total or CVD mortality in older adults compared with assessment of fasting glucose and blood pressure alone.
BACKGROUND: The utility of metabolic syndrome (MetS) for predicting mortality among older adults, the highest-risk population, is not well established. In addition, few studies have compared the predictive utility of MetS to that of its individual risk factors. METHODS: We evaluated relationships of MetS (as defined by the National Cholesterol Education Program Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults [Adult Treatment Panel III (ATPIII)], International Diabetes Foundation [IDF], and World Health Organization [WHO]) and individual MetS criteria with mortality between 1989 and 2004 among 4258 US adults 65 years or older and free of prevalent cardiovascular disease (CVD) in the Cardiovascular Health Study, a multicenter, population-based, prospective cohort. Total, CVD, and non-CVD mortality were evaluated. Cox proportional hazards models were used to estimate the mortality hazard ratio (relative risk [RR]) predicted by MetS. RESULTS: At baseline (mean age, 73 years), 31% of men and 38% of women had MetS (ATPIII). During 15 years of follow-up, 2116 deaths occurred. After multivariable adjustment, compared with persons without MetS, those with MetS had a 22% higher mortality (RR, 1.22; 95% confidence interval [CI], 1.11-1.34). Higher risk with MetS was confined to persons having elevated fasting glucose level (EFG) (defined as > or = 110 mg/dL [> or = 6.1 mmol/L] or treated diabetes mellitus) (RR, 1.41; 95% CI, 1.27-1.57) or hypertension (RR, 1.26; 95% CI, 1.15-1.39) as one of the criteria; persons having MetS without EFG (RR, 0.97; 95% CI, 0.85-1.11) or MetS without hypertension (RR, 0.92; 95% CI, 0.71-1.19) did not have higher risk. Evaluating MetS criteria individually, we found that only hypertension and EFG predicted higher mortality; persons having both hypertension and EFG had 82% higher mortality (RR, 1.82; 95% CI, 1.58-109). Substantially higher proportions of deaths were attributable to EFG and hypertension (population attributable risk fraction [PAR%], 22.2%) than to MetS (PAR%, 6.3%). Results were similar when we used WHO or IDF criteria, when we evaluated different cut points of each individual criterion, and when we evaluated CVD mortality. CONCLUSION: These findings suggest limited utility of MetS for predicting total or CVD mortality in older adults compared with assessment of fasting glucose and blood pressure alone.
Authors: Khiet Hoang; Yanglu Zhao; Julius M Gardin; Mercedes Carnethon; Ken Mukamal; David Yanez; Nathan D Wong Journal: JACC Cardiovasc Imaging Date: 2015-08-26
Authors: Giovanni Zuliani; Mario Luca Morieri; Stefano Volpato; Marcello Maggio; Antonio Cherubini; Daniela Francesconi; Stefania Bandinelli; Giuseppe Paolisso; Jack M Guralnik; Luigi Ferrucci Journal: Atherosclerosis Date: 2014-06-10 Impact factor: 5.162
Authors: Susan A Everson-Rose; Misti Paudel; Brent C Taylor; Tien Dam; Peggy Mannen Cawthon; Erin Leblanc; Elsa S Strotmeyer; Jane A Cauley; Marcia L Stefanick; Elizabeth Barrett-Connor; Kristine E Ensrud Journal: J Am Geriatr Soc Date: 2011-08-01 Impact factor: 5.562
Authors: Yashashwi Pokharel; Wensheng Sun; Dennis T Villareal; Elizabeth Selvin; Salim S Virani; Chiadi E Ndumele; Ron C Hoogeveen; Josef Coresh; Eric Boerwinkle; Kenneth R Butler; Scott D Solomon; James S Pankow; Biykem Bozkurt; Christie M Ballantyne; Vijay Nambi Journal: Eur J Prev Cardiol Date: 2016-12-12 Impact factor: 7.804
Authors: Jorge R Kizer; David Benkeser; Alice M Arnold; Kenneth J Mukamal; Joachim H Ix; Susan J Zieman; David S Siscovick; Russell P Tracy; Christos S Mantzoros; Christopher R Defilippi; Anne B Newman; Luc Djousse Journal: Circulation Date: 2012-11-16 Impact factor: 29.690
Authors: Caroline K Kramer; Denise von Mühlen; Jorge L Gross; Gail A Laughlin; Elizabeth Barrett-Connor Journal: Diabetes Care Date: 2008-10-13 Impact factor: 17.152