Literature DB >> 21529741

Impact of body mass index on the five-year outcome of patients having percutaneous coronary interventions with drug-eluting stents.

Giovanna Sarno1, Lorenz Räber, Yoshinobu Onuma, Scot Garg, Salvatore Brugaletta, Ron T van Domburg, Thomas Pilgrim, Nico Pfäffli, Peter Wenaweser, Stephan Windecker, Patrick Serruys.   

Abstract

The purpose of this study was to assess the impact of body mass index (BMI) on clinical outcome of patients treated by percutaneous coronary intervention (PCI) using drug-eluting stents. Patients were stratified according to BMI as normal (<25 kg/m(2)), overweight (25 to 30 kg/m(2)), or obese (>30 kg/m(2)). At 5-year follow-up all-cause death, myocardial infarction, clinically justified target vessel revascularization (TVR), and definite stent thrombosis were assessed. A complete dataset was available in 7,427 patients, of which 45%, 22%, and 33% were classified according to BMI as overweight, obese, and normal, respectively. Mean age of patients was significantly older in those with a normal BMI (p <0.05). Incidence of diabetes mellitus, hypertension, and dyslipidemia increased as BMI increased (p <0.05). Significantly higher rates of TVR (15.3% vs 12.8%, p = 0.02) and early stent thrombosis (1.5% vs 0.9%, p = 0.04) were observed in the obese compared to the normal BMI group. No significant difference among the 3 BMI groups was observed for the composite of death/myocardial infarction/TVR or for definite stent thrombosis at 5 years, whereas the normal BMI group was at higher risk for all-cause death at 5 years (obese vs normal BMI, hazard ratio 0.74, confidence interval 0.53 to 0.99, p = 0.05; overweight vs normal BMI, hazard ratio 0.73, confidence interval 0.59 to 0.94, p = 0.01) in the multivariate Cox proportional hazard model. Age resulted in a linearly dependent covariate with BMI in the all-cause 5-year mortality multivariate model (p = 0.001). In conclusion, the "obesity paradox" observed in 5-year all-cause mortality could be explained by the higher rate of elderly patients in the normal BMI group and the existence of colinearity between BMI and age. However, obese patients had a higher rate of TVR and early stent thrombosis and a higher rate of other risk factors such as diabetes mellitus, hypertension, and hypercholesterolemia.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21529741     DOI: 10.1016/j.amjcard.2011.03.023

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  9 in total

Review 1.  Obesity and Cardiovascular Disease: a Risk Factor or a Risk Marker?

Authors:  Taher Mandviwala; Umair Khalid; Anita Deswal
Journal:  Curr Atheroscler Rep       Date:  2016-05       Impact factor: 5.113

2.  The influence of optimal medical treatment on the 'obesity paradox', body mass index and long-term mortality in patients treated with percutaneous coronary intervention: a prospective cohort study.

Authors:  Lisanne Schenkeveld; Michael Magro; Rohit M Oemrawsingh; Mattie Lenzen; Peter de Jaegere; Robert-Jan van Geuns; Patrick W Serruys; Ron T van Domburg
Journal:  BMJ Open       Date:  2012-02-09       Impact factor: 2.692

3.  Impact of body mass index on in-hospital complications in patients undergoing percutaneous coronary intervention in a Japanese real-world multicenter registry.

Authors:  Yohei Numasawa; Shun Kohsaka; Hiroaki Miyata; Akio Kawamura; Shigetaka Noma; Masahiro Suzuki; Susumu Nakagawa; Yukihiko Momiyama; Kotaro Naito; Keiichi Fukuda
Journal:  PLoS One       Date:  2015-04-14       Impact factor: 3.240

4.  Impact of body mass index on the clinical outcomes after percutaneous coronary intervention in patients ≥ 75 years old.

Authors:  Pei-Yuan He; Yue-Jin Yang; Shu-Bin Qiao; Bo Xu; Min Yao; Yong-Jian Wu; Yuan Wu; Jin-Qing Yuan; Jue Chen; Hai-Bo Liu; Jun Dai; Wei Li; Yi-Da Tang; Jin-Gang Yang; Run-Lin Gao
Journal:  Chin Med J (Engl)       Date:  2015-03-05       Impact factor: 2.628

5.  Body Mass Index, Outcomes, and Mortality Following Cardiac Surgery in Ontario, Canada.

Authors:  Ana P Johnson; Joel L Parlow; Marlo Whitehead; Jianfeng Xu; Susan Rohland; Brian Milne
Journal:  J Am Heart Assoc       Date:  2015-07-09       Impact factor: 5.501

6.  Determinants of In-Hospital Mortality After Percutaneous Coronary Intervention: A Machine Learning Approach.

Authors:  Subhi J Al'Aref; Gurpreet Singh; Alexander R van Rosendael; Kranthi K Kolli; Xiaoyue Ma; Gabriel Maliakal; Mohit Pandey; Bejamin C Lee; Jing Wang; Zhuoran Xu; Yiye Zhang; James K Min; S Chiu Wong; Robert M Minutello
Journal:  J Am Heart Assoc       Date:  2019-03-05       Impact factor: 5.501

7.  Contemporary management and attainment of cholesterol targets for patients with dyslipidemia in China.

Authors:  Fei Gao; Yu Jie Zhou; Da Yi Hu; Ying Xin Zhao; Yu Yang Liu; Zhi Jian Wang; Shi Wei Yang; Xiao Li Liu
Journal:  PLoS One       Date:  2013-04-09       Impact factor: 3.240

Review 8.  Prolonged and intensive medication use are associated with the obesity paradox after percutaneous coronary intervention: a systematic review and meta-analysis of 12 studies.

Authors:  Xiao-Feng Tan; Jia-Xin Shi; And Meng-Hua Chen
Journal:  BMC Cardiovasc Disord       Date:  2016-06-06       Impact factor: 2.298

9.  Can Patient Selection Explain the Obesity Paradox in Orthopaedic Hip Surgery? An Analysis of the ACS-NSQIP Registry.

Authors:  Joyce C Zhang; John Matelski; Rajiv Gandhi; Timothy Jackson; David Urbach; Peter Cram
Journal:  Clin Orthop Relat Res       Date:  2018-05       Impact factor: 4.176

  9 in total

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