Body Mass Index and Prognosis in Patients With Chronic Heart Failure
Bibliographic record
Abstract
BACKGROUND: In individuals without known cardiovascular disease, elevated body mass index (BMI) (weight/height2) is associated with an increased risk of death. However, in patients with certain specific chronic diseases, including heart failure, low BMI has been associated with increased mortality. METHODS AND RESULTS: We examined the influence of BMI on prognosis using Cox proportional hazards models in 7599 patients (mean age, 65 years; 35% women) with symptomatic heart failure (New York Heart Association class II to IV) and a broad spectrum of left ventricular ejection fractions (mean, 39%) in the Candesartan in Heart failure: Assessment of Reduction in Mortality and morbidity (CHARM) program. During a median follow-up of 37.7 months, 1831 patients died. After adjustment for potential confounders, compared with patients with BMI between 30 and 34.9, patients in lower BMI categories had a graded increase in the risk of death. The hazard ratios (95% confidence intervals) were 1.22 (1.06 to 1.41), 1.46 (1.24 to 1.71), and 1.69 (1.43 to 2.01) among those with BMI of 25 to 29.9, 22.5 to 24.9, and < 22.5, respectively. The increase in risk of death among patients with BMI > or = 35 was not statistically significant (hazard ratio, 1.17; 95% confidence interval, 0.95 to 1.43). The association between BMI and mortality was not altered by age, smoking status, or left ventricular ejection fraction (P for interaction >0.20). However, lower BMI was associated with a greater risk of all-cause death in patients without edema but not in patients with edema (P for interaction <0.0001). Lower BMI was associated with a greater risk of cardiovascular death and noncardiovascular death. Baseline BMI did not influence the risk of hospitalization for worsening heart failure or due to all causes. CONCLUSIONS: In patients with symptomatic heart failure and either reduced or preserved left ventricular systolic function, underweight or low BMI was associated with increased mortality, primarily in patients without evidence of fluid overload (edema).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".