Literature DB >> 32423731

Is the Obesity Paradox in Cardiac Surgery Really a Myth? Effect of Body Mass Index on Early and Late Clinical Outcomes.

Lucrecia María Burgos1, Andreina Gil Ramírez2, Leonardo Seoane3, Juan Espinoza4, Juan Francisco Furmento3, Juan Pablo Costabel3, Mariano Benzadón3, Daniel Navia3.   

Abstract

OBJECTIVE: The present study was conducted to investigate the obesity paradox and assess the effect of body mass index (BMI) on early and late clinical outcomes after cardiac surgery.
DESIGN: Cohort study with a retrospective analysis of prospectively collected data.
DESIGN: Single-institution cardiology medical center. PARTICIPANTS: The study comprised consecutive patients undergoing cardiac surgery from January 2009 to January 2019. Patients were divided into the following 4 groups defined by BMI: underweight (UW) (≤18.5 kg/m2): 0.5%, n = 27; normal weight (18.5-25 kg/m2): 25.7%, n = 1,393; overweight (OW) (>25-30 kg/m2): 44.7%, n = 2,423; and obese (OB) (≥30 kg/m2): 29.1%, n = 1,576.
INTERVENTIONS: No interventions.
MEASUREMENTS AND MAIN RESULTS: A multivariate analysis was used to compare clinical outcomes among the different BMI groups. Overall 1-year survival of patients in the BMI categories was determined by the Kaplan-Meier method and compared using the log rank test. The study included 5,419 patients. The BMI groups were significantly different regarding presurgical variables. Mortality according to BMI exhibited a reverse J-shaped relationship: 7.4% in the UW group, 5.2% in the normal weight group, 3.2% in the OW group, and 4.3% in the OB group (p = 0.016). Low- cardiac- output syndrome and bleeding were more frequent in the UW group, whereas mediastinitis and hyperglycemia were more common in the OB group. After adjusting for other risk factors, BMI was not an independent predictor of in-hospital mortality. One-year follow-up was completed in 95% of the patients, and the analysis of long-term mortality did not show a difference among the BMI categories (p log rank = 0.16).
CONCLUSION: OW patients had a lower mortality and better outcomes after cardiac surgery. However, when other preoperative variables were taken into account, BMI did not have independent effect on in-hospital and 1-year mortality.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  body mass index; cardiac surgery; mortality; obesity; risk factors

Mesh:

Year:  2020        PMID: 32423731     DOI: 10.1053/j.jvca.2020.03.051

Source DB:  PubMed          Journal:  J Cardiothorac Vasc Anesth        ISSN: 1053-0770            Impact factor:   2.628


  5 in total

Review 1.  Mortality risk in patients with underweight or obesity with peripheral artery disease: a meta-analysis including 5,735,578 individuals.

Authors:  Donna Shu-Han Lin; Hao-Yun Lo; An-Li Yu; Jen-Kuang Lee; Kuo-Liong Chien
Journal:  Int J Obes (Lond)       Date:  2022-05-16       Impact factor: 5.551

2.  Clearing Up the Obesity Paradox in Cardiac Surgery.

Authors:  Jon D Samuels; Briana Lui; Robert S White
Journal:  J Cardiothorac Vasc Anesth       Date:  2020-06-23       Impact factor: 2.628

3.  Overweight is associated with better one-year survival in elderly patients after cardiac surgery: a retrospective analysis of the MIMIC-III database.

Authors:  Yiran Zhang; Qi Zheng; Xiaoyi Dai; Xingjie Xu; Liang Ma
Journal:  J Thorac Dis       Date:  2021-02       Impact factor: 2.895

4.  Definitions of low cardiac output syndrome after cardiac surgery and their effect on the incidence of intraoperative LCOS: A literature review and cohort study.

Authors:  Anna Schoonen; Wilton A van Klei; Leo van Wolfswinkel; Kim van Loon
Journal:  Front Cardiovasc Med       Date:  2022-09-29

5.  Combined Effect of Famine Exposure and Obesity Parameters on Hypertension in the Midaged and Older Adult: A Population-Based Cross-Sectional Study.

Authors:  Lin Zhang; Liu Yang; Congzhi Wang; Ting Yuan; Dongmei Zhang; Huanhuan Wei; Jing Li; Yunxiao Lei; Lu Sun; Xiaoping Li; Ying Hua; Hengying Che; Yuanzhen Li
Journal:  Biomed Res Int       Date:  2021-09-23       Impact factor: 3.411

  5 in total

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