Literature DB >> 23041003

Prognostic impact of different definitions of metabolic syndrome in predicting cardiovascular events in a cohort of non-diabetic Tehranian adults.

Farhad Hosseinpanah1, Golaleh Asghari, Maryam Barzin, Hosein Aghayan Golkashani, Fereidoun Azizi.   

Abstract

BACKGROUND: The applicability of different definitions of metabolic syndrome (MetS) in predicting cardiovascular diseases (CVD) remains questionable. The aim of this study was to compare predictive ability of different definitions of MetS for CVD in non-diabetic subjects.
METHODS: In this community-based study, 5198 non-diabetic subjects aged ≥ 30 years (mean age 45.6 years, 45% men) free of CVD at baseline were followed for a median of 9.3 years to assess risk for CVD. We assessed the predictability of definitions of the National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATP III), the International Diabetes Federation (IDF), the American Heart Association/National Heart, Lung, and Blood Institute (AHA/NHLBI), and the joint interim statement (JIS) on development of CVD. Hazard ratios (HRs) were calculated using Cox proportional-hazards models. The receiver operating characteristic (ROC) curve was also used to compare discriminative power of these MetS definitions in predicting CVD events.
RESULTS: Compared to other definitions, the JIS identified more participants (41.8%) having MetS. First CVD events occurred in 311 subjects. After adjustment for potential confounders, the HRs of the NCEP-ATP III, AHA/NHLBI, IDF and JIS definitions for incident CVD were 1.55 (1.21-2.00), 1.73 (1.35-2.20), 1.54 (1.22-1.94) and 1.70 (1.34-2.17), respectively. All definitions showed higher HRs for females in comparison to males (P<0.05). ROC analysis showed no significant difference in the discriminative power of different MetS definitions in predicting CVD events (P>0.05).
CONCLUSIONS: In the current study, compared to each other none of the definitions showed a superior discriminative power in predicting CVD; although, all definitions were more predictive in females than in males.
Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Cardiovascular diseases; Diagnostic criteria; Metabolic syndrome

Mesh:

Year:  2012        PMID: 23041003     DOI: 10.1016/j.ijcard.2012.09.037

Source DB:  PubMed          Journal:  Int J Cardiol        ISSN: 0167-5273            Impact factor:   4.164


  7 in total

1.  Comparison of anthro-metabolic indicators for predicting the risk of metabolic syndrome in the elderly population: Bushehr Elderly Health (BEH) program.

Authors:  Neda Rabiei; Ramin Heshmat; Safoora Gharibzadeh; Afshin Ostovar; Vahid Maleki; Mehdi Sadeghian; Saba Maleki Birjandi; Iraj Nabipour; Gita Shafiee; Bagher Larijani
Journal:  J Diabetes Metab Disord       Date:  2021-08-28

Review 2.  Metabolic Syndrome: Findings from 20 Years of the Tehran Lipid and Glucose Study.

Authors:  Firoozeh Hosseini-Esfahani; Zahra Bahadoran; Nazanin Moslehi; Golaleh Asghari; Emad Yuzbashian; Somayeh Hosseinpour-Niazi; Parvin Mirmiran; Fereidoun Azizi
Journal:  Int J Endocrinol Metab       Date:  2018-10-21

3.  Potential of four definitions of metabolic syndrome to discriminate individuals with different 10-year cardiovascular disease risk scores: a cross-sectional analysis of an Iranian cohort.

Authors:  Mohammad Javad Zibaeenezhad; Mehrab Sayadi; Ali Karimi-Akhormeh; Ali Ardekani; Nader Parsa; Iman Razeghian-Jahromi
Journal:  BMJ Open       Date:  2022-02-15       Impact factor: 2.692

4.  Fast Food Intake Increases the Incidence of Metabolic Syndrome in Children and Adolescents: Tehran Lipid and Glucose Study.

Authors:  Golaleh Asghari; Emad Yuzbashian; Parvin Mirmiran; Behnaz Mahmoodi; Fereidoun Azizi
Journal:  PLoS One       Date:  2015-10-08       Impact factor: 3.240

5.  Which insulin resistance-based definition of metabolic syndrome has superior diagnostic value in detection of poor health-related quality of life? Cross-sectional findings from Tehran Lipid and Glucose Study.

Authors:  Tina Deihim; Parisa Amiri; Reza Taherian; Maryam Tohidi; Asghar Ghasemi; Leila Cheraghi; Fereidoun Azizi
Journal:  Health Qual Life Outcomes       Date:  2015-12-09       Impact factor: 3.186

6.  Comparative study on prevalence of metabolic syndrome based on three criteria among adults in Zhejiang province, China: an observational study.

Authors:  Xiyi Wang; Doris Howell; Leiwen Tang; Jing Shao; Zhihong Ye
Journal:  BMJ Open       Date:  2020-04-06       Impact factor: 2.692

7.  Comparison of coronary heart disease risk assessments among individuals with metabolic syndrome using three diagnostic definitions: a cross-sectional study from China.

Authors:  Xiaolin Peng; Liping Hao; Juan Zhou; Qin Gao; Jun Wang; Min Zhang; Jianping Ma; Changyi Wang; Hongen Chen
Journal:  BMJ Open       Date:  2018-10-25       Impact factor: 2.692

  7 in total

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