Relationship between mean platelet volume and left ventricular systolic function in patients with metabolic syndrome and ST-elevation myocardial infarction
Bibliographic record
Abstract
PURPOSE: Mean platelet volume (MPV) is an indicator of platelet activation, which is a central process in the pathophysiology of coronary heart disease. Metabolic syndrome (MS) may lead to worsened left ventricular systolic function by causing recurrent thrombotic events and by aggravating systemic inflammation in the course of acute myocardial infarction. The present study was designed to investigate the relationship between MPV and left ventricular systolic function in patients with metabolic syndrome who had first ST-elevation myocardial infarction. METHODS: MPV was measured on admission in 33 patients who had preserved left ventricle systolic function (mean age, 56.9±10.2 years) and in 48 patients who had depressed left ventricle systolic function (mean age, 57.9±10.5 years) with metabolic syndrome and first ST elevation myocardial infarction. Depressed left ventricle systolic function was defined as ≤50% ejection fraction value. MPV levels were compared in the two groups. RESULTS: MPV was significantly higher in patients with depressed left ventricle systolic function in comparison with patients showing preserved left ventricle systolic function (p=0.02). Logistic regression analysis showed an independent relationship between MPV and deteriorated left ventricular systolic function, even after adjustment for potential confounders (1.08 (1.04-1.20), CI: 95%, p=0.02). CONCLUSIONS: Increased MPV on admission can be associated with degree of left ventricle systolic depression in patients with metabolic syndrome with first ST-elevation myocardial infarction. MPV may prove to be useful as a prognostic marker in patients with metabolic syndrome and ST elevation MI.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.003 |
| 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".