The impact of anthropomorphic indices on clinical outcomes in patients with acute ST-elevation myocardial infarction
Bibliographic record
Abstract
AIMS: Multiple studies have focused on the relationship of body anthropometric measures with clinical events in ST-elevation myocardial infarction (STEMI) patients, highlighting the 'obesity paradox'. However, the relative prognostic importance of these measures over other baseline variables is less known. METHOD AND RESULTS: We performed a retrospective analysis of 94,108 STEMI patients from seven clinical trials evaluating various reperfusion strategies to study the relationship and prognostic importance of height, weight, body mass index (BMI), and body surface area (BSA) with 30-day death and in-hospital cardiogenic shock, major bleeding, and stroke. Main outcome measures of interest included 30-day death and in-hospital cardiogenic shock, major bleeding, and stroke. Weight, BMI, and BSA were inversely and independently related to all clinical events. Despite being statistically significant (P<0.0001), the prognostic information contributed by weight beyond that conferred by baseline clinical factors was minimal (<1% of total prognostic information) making it of limited clinical relevance for predicting 30-day death and cardiogenic shock. In contrast, weight accounted for 8.4% and 4.3% of the prognostic information in the logistic regression models for major bleeding and for stroke. BMI or BSA added little incremental value over simple measure of weight. CONCLUSION: Although statistically significantly related to most outcomes in patients with STEMI including death and shock, body weight provided clinically relevant prognostic information only for the risk of major bleeding and of stroke. Furthermore, BMI or BSA contributed little incremental prognostic information beyond that provided by weight alone. Thus, the existing large body of information concerning the strong prognostic importance of anthropometric measures with outcomes after STEMI should be interpreted in the context of other more important risk factors.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".