Effect of overweight and obesity on the left ventricular systolic and diastolic functions in patients with acute myocardial infarction
Bibliographic record
Abstract
PURPOSE: The purpose of this study was to evaluate whether a association exits among overweight and obesity and left ventricular systolic and diastolic functions in patients admitted with first ST-elevation myocardial infarction (STEMI). METHODS: The present study was performed on 451 consecutive patients diagnosed with first STEMI (376 men, 75 women; mean age 56.1 ± 10.8 years). The patients were classified into three groups based on their body mass index (BMI) as normal weight (BMI < 25 kg/m2), overweight (BMI: 25-29.9 kg/m2) and obese (BMI > 30 kg/m2). Echocardiographic features were evaluated and compared among the three groups. RESULTS: Mitral annulus E velocities were higher in obese individuals than normal weight group (p < 0.01). In contrast, mitral A velocities were lower (p =0.03); consequently, E\A and E'\A' ratios were lower (both p = 0.01) in the obese group with respect to normal weight group. When the correction of entire variations existing among the groups were performed using multivariate linear regressions analyses, it turned out that BMI was independently associated with E/A (β = -0.19, p = 0.044) and with E'/A' (β = -0.016, p = 0.021). Ejection fraction, wall motion score index and myocardial S velocities were comparable among the study groups (p > 0.05). CONCLUSION: These results suggest that while obesity has no adverse effect on the left ventricular systolic function, it has unfavorable consequences on the left ventricular diastolic function in the patients with first STEMI. In contrast, no unfavorable effects of overweight on the left ventricular systolic and diastolic function were detected.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".