Obesity is associated with lower 30-day mortality in critically ill patients: A retrospective study of over 5400 patients
Bibliographic record
Abstract
BACKGROUND: , is associated with higher mortality in the general population but shows a complex relationship with chronic diseases and critically illness. The aim of this study was to determine whether BMI predicted 30-day mortality (primary outcome) and intensive care unit (ICU) and hospital lengths of stay (LOS) (secondary outcome) in critically ill patients. METHODS: ). The association between BMI and outcomes was assessed by multivariate Cox Lasso (Least absolute shrinkage and selection operator) or linear Lasso regression models, adjusted for age, sex, Simplified Acute Physiology Score (SAPS) II, primary diagnosis (ICD-10 codes) and measurement time points. RESULTS: (HR 1.44, p = 0.006) compared to normal weight. BMI categories in the overweight, obesity class I and class II range were all associated with longer ICU and hospital LOS (all p < 0.05). CONCLUSION: Patients with higher BMI, particularly with class II obesity, show a lower 30-day mortality in ICU settings, but a longer ICU and hospital LOS. This is likely a reflection of the obesity paradox and the complex role of body composition in critical illness outcomes. CLINICAL TRIAL REGISTRY: clinicaltrials.gov, identifier: NCT05834894.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".