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Body mass indices and outcome in patients with chronic heart failure
James E Futter1, John G F Cleland, Andrew L Clark
1Hull York Medical School, UK.
Insights
In chronic heart failure patients, larger body size predicts lower mortality risk. Body surface area (BSA) is the strongest predictor, indicating greater body bulk improves survival.
Area of Science:
- Cardiology
- Clinical Nutrition
- Biostatistics
Background:
- Chronic heart failure (CHF) is associated with complex relationships between body composition and patient outcomes.
- An inverse relationship exists between body mass and mortality in CHF populations.
- The optimal anthropometric measure for predicting mortality in CHF remains unclear.
Purpose of the Study:
- To investigate the association between various body size measures and mortality in patients with chronic heart failure.
- To determine which measure of body size, including body surface area (BSA), is the strongest predictor of mortality in this population.
Main Methods:
- A cohort of 2271 patients with chronic heart failure due to left ventricular systolic dysfunction was followed for mortality.
- Measures including body mass index (BMI), ponderal index (PI), and body surface area (BSA) were assessed.
- Multivariable analysis was used to identify the strongest predictor of outcome among 14 variables.
Main Results:
- Body size measures were strong univariable predictors of mortality; BSA was the strongest (χ² = 71.3).
- Higher body size, particularly BSA, was associated with a lower risk of mortality.
- In multivariable analysis, BSA remained the single strongest predictor of outcome.
Conclusions:
- Body size measures are significantly related to outcomes in patients with chronic heart failure.
- Body surface area (BSA) is a more potent predictor of mortality than other body habitus measures.
- Increased overall body bulk is linked to improved survival in chronic heart failure patients.
Aims:
There is an inverse relation between body mass and mortality in large populations of patients with chronic heart failure with a broad range of disease severity. The best measure of body size to describe the relation is not clear.
Methods And Results:
Patients with chronic heart failure (n = 2271, age 71.9 ± 11.3 years; 74.6% male) due to left ventricular systolic dysfunction were followed for a median of 1785 days (inter-quartile range, 874-2311 days) in survivors. We measured body mass index (BMI: weight/height²), ponderal index (PI: weight/height³), and body surface area (BSA). In a subset of 1025 patients, we also calculated the 'Charles index' [weight/(waist² × height)] together with bioimpedance data. During follow-up, 912 patients died. Measures of body mass were strong univariable predictors of outcome, and BSA (χ² = 71.3) was the strongest predictor followed by height (χ² = 68.6), weight (χ² = 57.4), then BMI (χ² = 15.2). The larger the patient's size, the lower the risk of mortality. Body surface area was the single strongest predictor of outcome in a multivariable model including 14 variables. In the subset with bioimpedance data, basal metabolic rate, BSA, weight, BMI, percentage body fat, fat mass, PI, and fat-free mass were all univariable predictors of outcome.
Conclusion:
Measures of body size are strongly related to outcome in patients with chronic heart failure. Body surface area is a stronger predictor of mortality than other measures of body habitus, irrespective of height correction. The greater the overall bulk of the body, the better the survival.
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