» Articles » PMID: 16920472

Association of Bodyweight with Total Mortality and with Cardiovascular Events in Coronary Artery Disease: a Systematic Review of Cohort Studies

Overview
Journal Lancet
Publisher Elsevier
Specialty General Medicine
Date 2006 Aug 22
PMID 16920472
Citations 493
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Studies of the association between obesity, and total mortality and cardiovascular events in patients with coronary artery disease (CAD) have shown contradictory results. We undertook a systematic review to determine the extent and nature of this association.

Methods: We selected cohort studies that provided risk estimates for total mortality, with or without cardiovascular events, on the basis of bodyweight or obesity measures in patients with CAD, and with at least 6 months' follow-up. CAD was defined as history of percutaneous coronary intervention, coronary artery bypass graft, or myocardial infarction. We obtained risk estimates for five predetermined bodyweight groups: low, normal weight (reference), overweight, obese, and severely obese.

Findings: We found 40 studies with 250,152 patients that had a mean follow-up of 3.8 years. Patients with a low body-mass index (BMI) (ie, <20) had an increased relative risk (RR) for total mortality (RR=1.37 [95% CI 1.32-1.43), and cardiovascular mortality (1.45 [1.16-1.81]), overweight (BMI 25-29.9) had the lowest risk for total mortality (0.87 [0.81-0.94]) and cardiovascular mortality (0.88 [0.75-1.02]) compared with those for people with a normal BMI. Obese patients (BMI 30-35) had no increased risk for total mortality (0.93 [0.85-1.03]) or cardiovascular mortality (0.97 [0.82-1.15]). Patients with severe obesity (> or =35) did not have increased total mortality (1.10 [0.87-1.41]) but they had the highest risk for cardiovascular mortality (1.88 [1.05-3.34]).

Interpretation: The better outcomes for cardiovascular and total mortality seen in the overweight and mildly obese groups could not be explained by adjustment for confounding factors. These findings could be explained by the lack of discriminatory power of BMI to differentiate between body fat and lean mass.

Citing Articles

The association between lower prognostic nutritional index and higher short- & long-term mortality in older adults (≥ 70 years) undergoing coronary artery bypass grafting: a retrospective study.

Liu Z, Wang Z, Huang Q, Hu B, Li M, Pan Y BMC Geriatr. 2025; 25(1):175.

PMID: 40087583 DOI: 10.1186/s12877-025-05833-9.


Harnessing Artificial Intelligence in Obesity Research and Management: A Comprehensive Review.

Azmi S, Kunnathodi F, Alotaibi H, Alhazzani W, Mustafa M, Ahmad I Diagnostics (Basel). 2025; 15(3).

PMID: 39941325 PMC: 11816645. DOI: 10.3390/diagnostics15030396.


Thromboembolism Risk Profiles in Non-valvular Atrial Fibrillation: How Can Machine Learning-Based Analysis Add to Our Understanding?.

Goldin M, Spyropoulos A J Gen Intern Med. 2025; .

PMID: 39804555 DOI: 10.1007/s11606-025-09372-2.


Association between BMI and outcomes in critically ill patients: an analysis of the MIMIC-III database.

Yu W, Jiang W, Yuan J, Fan T, Xiao H, Sun L Sci Rep. 2024; 14(1):31127.

PMID: 39730662 PMC: 11680908. DOI: 10.1038/s41598-024-82424-5.


A Saudi Heart Association Position Statement on Obesity and Cardiovascular Disease.

AlHabeeb W, Kinsara A, Bakhsh A, Tash A, Alshammary A, Almasood A J Saudi Heart Assoc. 2024; 36(3):263-300.

PMID: 39469000 PMC: 11518015. DOI: 10.37616/2212-5043.1391.