Literature DB >> 16076828

An exploratory analysis of criteria for the metabolic syndrome and its prediction of long-term cardiovascular outcomes: the Hoorn study.

Cynthia J Girman1, Jacqueline M Dekker, Thomas Rhodes, Giel Nijpels, Coen D A Stehouwer, Lex M Bouter, Robert J Heine.   

Abstract

Studies have shown an increased risk of cardiovascular outcomes with the metabolic syndrome, but information on predictive properties of the National Cholesterol Education Program Adult Treatment Panel 3 (NCEP) criteria is sparse. The authors used data from the Hoorn population-based study in the Netherlands including 2,484 participants aged 50-75 years examined in 1989 and followed for cardiovascular morbidity and mortality through 2000 to assess NCEP criteria, excluding known diabetes or cardiovascular disease. Cluster analyses explored whether NCEP identifies a mixture of heterogeneous groups. For each gender, participants meeting NCEP criteria seemed to be divided into clusters distinguished primarily by triglycerides or high density lipoprotein cholesterol. Cutpoints for components predicting cardiovascular events using classification and survival tree methodology varied by endpoint and gender, but Cox model hazards ratios were relatively comparable regardless of cutpoints (range: 1.3-2.5). Clear gradation in risk of cardiovascular outcomes was evident with increasing number of components, with statistically elevated risk for >or=3 (NCEP) components in men but for >or=2 components in women. Exploratory analyses of alternative metabolic syndrome criteria suggest cardiovascular risk estimates comparable to those derived by using NCEP, but criteria evaluating risk on more of a continuum would potentially allow consideration of alternative definitions by gender or for patients with other risk factors.

Entities:  

Mesh:

Year:  2005        PMID: 16076828     DOI: 10.1093/aje/kwi229

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  9 in total

1.  Are there common genetic and environmental factors behind the endophenotypes associated with the metabolic syndrome?

Authors:  B Benyamin; T I A Sørensen; K Schousboe; M Fenger; P M Visscher; K O Kyvik
Journal:  Diabetologia       Date:  2007-07-12       Impact factor: 10.122

2.  Presence of arachidonoyl-carnitine is associated with adverse cardiometabolic responses in hypertensive patients treated with atenolol.

Authors:  Liming Weng; Yan Gong; Jeffrey Culver; Stephen J Gardell; Christopher Petucci; Alison M Morse; Reginald F Frye; Stephen T Turner; Arlene Chapman; Eric Boerwinkle; John Gums; Amber L Beitelshees; Peggy R Borum; Julie A Johnson; Timothy J Garrett; Lauren M McIntyre; Rhonda M Cooper-DeHoff
Journal:  Metabolomics       Date:  2016-09-15       Impact factor: 4.290

3.  The concomitant use of second-generation antipsychotics and long-term antiretroviral therapy may be associated with increased cardiovascular risk.

Authors:  Maria Ferrara; Anya Umlauf; Chelsea Sanders; Jonathan M Meyer; John Allen McCutchan; Nichole Duarte; Joseph Hampton Atkinson; Igor Grant; Ronald J Ellis
Journal:  Psychiatry Res       Date:  2014-04-18       Impact factor: 3.222

4.  Analysis of Maryland poisoning deaths using classification and regression tree (CART) analysis.

Authors:  Carol Pamer; Tracey Serpi; Joseph Finkelstein
Journal:  AMIA Annu Symp Proc       Date:  2008-11-06

5.  Age- and sex-specific prevalence and ten-year risk for cardiovascular disease of all 16 risk factor combinations of the metabolic syndrome - A cross-sectional study.

Authors:  Susanne Moebus; Chakrapani Balijepalli; Christian Lösch; Laura Göres; Bernd von Stritzky; Peter Bramlage; Jürgen Wasem; Karl-Heinz Jöckel
Journal:  Cardiovasc Diabetol       Date:  2010-08-09       Impact factor: 9.951

6.  Change in metabolic syndrome parameters with antipsychotic treatment in the CATIE Schizophrenia Trial: prospective data from phase 1.

Authors:  Jonathan M Meyer; Vicki G Davis; Donald C Goff; Joseph P McEvoy; Henry A Nasrallah; Sonia M Davis; Robert A Rosenheck; Gail L Daumit; John Hsiao; Marvin S Swartz; T Scott Stroup; Jeffrey A Lieberman
Journal:  Schizophr Res       Date:  2008-02-06       Impact factor: 4.939

7.  COSEHC global vascular risk management quality improvement program: rationale and design.

Authors:  Carlos M Ferrario; Michael A Moore; William Bestermann; Chris Colby; Alex Exuzides; Debra Simmons; Sumeet Panjabi
Journal:  Vasc Health Risk Manag       Date:  2010-12-13

8.  Effects of the Dietary Detoxification Program on Serum γ-glutamyltransferase, Anthropometric Data and Metabolic Biomarkers in Adults.

Authors:  Ju Ah Kim; Jin Young Kim; Seung Wan Kang
Journal:  J Lifestyle Med       Date:  2016-09-30

9.  Model-based recursive partitioning to identify risk clusters for metabolic syndrome and its components: findings from the International Mobility in Aging Study.

Authors:  Catherine M Pirkle; Yan Yan Wu; Maria-Victoria Zunzunegui; José Fernando Gómez
Journal:  BMJ Open       Date:  2018-03-01       Impact factor: 2.692

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.