Elevated admission blood glucose is an independent risk factor for 30-Day major adverse cardiovascular events in STEMI patients, but not in NSTEMI patients
Bibliographic record
Abstract
Abstract BackgroundElevated admission blood glucose was associated with adverse outcomes in patients with acute myocardial infarction (AMI). However, no further studies investigated the association between admission blood glucose and 30-day major adverse cardiovascular outcomes (MACEs) in ST-segment elevation myocardial infarction (STEMI) and non-ST-segment elevation myocardial infarction (NSTEMI) patients, respectively.ObjectivesThe purpose of this study was to evaluate the impact of admission blood glucose on the risk of 30-day major adverse cardiovascular events in AMI patients, and to assess the difference in outcome between STEMI and NSTEM patients.Methods and ResultsThis study was a post hoc analysis of the Acute Coronary Syndrome Quality Improvement in Kerala (ACS-QUIK) Study, and 13,398 participants were included in the final analysis. Participants were divided according to the admission blood glucose quintiles. Compared with participants with admission blood glucose between 5.4 and 6.3 mmol/L, participants with the highest quintile of admission blood glucose (≥ 10.7 mmol/L) were associated with increased risk of 30-day MACEs in the fully adjusted logistic regression model [adjusted OR (95%CI): 1.86 (1.36, 2.56), P<0.001]. There was a positive linear association between admission blood glucose and the risk of 30-day MACEs in AMI patients [adjusted OR (95%CI): 1.05 (1.03, 1.07), P<0.001]. This trend was more significant in patients with STEMI (P for interaction = 0.016) or patients below 65 years old (P for interaction = 0.025).ConclusionIn patients with AMI, elevated admission blood glucose was associated with the increased risk of 30-day MACEs, and this relationship was found only in STEMI patients, not in NSTEMI patients.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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".