Increase in Creatinine and Cardiovascular Risk in Patients with Systolic Dysfunction after Myocardial Infarction
Bibliographic record
Abstract
Baseline renal function is a potent independent risk factor for adverse events after acute myocardial infarction (MI). Worsening renal function (WRF) has been shown to influence outcomes in the heart failure population, but its impact on cardiovascular risk in the post-MI period has not been well defined. For assessment of the prognostic importance of WRF, 2231 patients who had left ventricular dysfunction and were enrolled in the Survival and Ventricular Enlargement (SAVE) trial were studied. Patients were randomly assigned between 3 and 16 d (average 11 d) after acute MI to receive captopril or placebo; those with a serum creatinine of >2.5 mg/dl were excluded from SAVE. WRF was defined as an increase in creatinine of >0.3 mg/dl measured from baseline to 2 wk after randomization. The predictive value of WRF on cardiovascular morbidity and mortality was examined during 42 mo of follow-up. Paired serum creatinine measurements at baseline and 2 wk were available in 1854 patients. WRF occurred in 223 (12.0%) patients and was a stronger predictor of death (hazard ratio [HR] 1.46; 95% confidence interval [CI] 1.05 to 2.02) than baseline creatinine (HR 1.31; 95% CI 1.01 to 1.70). WRF also showed an increased risk for cardiovascular death (HR 1.62; 95% CI 1.14 to 2.30) and the composite end point (HR 1.32; 95% CI 1.03 to 1.70). When stratified by treatment, 104 (5.7%) and 116 (6.4%) patients with WRF in the placebo and captopril groups had no significant association between treatment group and WRF (P = 0.38). The risk for death associated with WRF was HR 1.63 (95% CI 1.05 to 2.52) in the placebo group compared with HR 1.33 (95% CI 0.81 to 2.21) in the captopril group (P = 0.49 for interaction). WRF as early as 2 wk after MI was not uncommon (12.0%) and was associated with increased mortality in patients without renal dysfunction at baseline. Patients who received captopril did not demonstrate more WRF than patients who received placebo. Monitoring serum creatinine in patients during the first few weeks after MI may help to identify those who are at highest risk and guide effective long-term therapeutic choices.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 |
| 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".