Abstract 345: Hospital Variation in Admission to Intensive Care Units for Patients with Acute Myocardial Infarction
Bibliographic record
Abstract
Background: The intensive care unit (ICU) has been credited with reducing mortality for patients hospitalized with AMI in a past era when life-threatening post-infarction ventricular arrhythmias were more common. With the evolution in the clinical profile and treatment of AMI, the marginal benefit of ICU care for many patients is less clear. As a result, the use of ICU care for patients with AMI may vary substantially among institutions, creating implications for treatment strategies and patient outcomes. Methods: We identified 114,980 hospitalizations for AMI from 311 hospitals in the 2009-10 Premier database using ICD-9-CM codes. We excluded hospitals with <25 AMI admissions, patients <18 yrs, and transfers. Hospitals were stratified into quartiles by rates of ICU admission for AMI patients. For each quartile, we calculated (1) usage rates of critical care therapies and (2) in-hospital risk-standardized mortality rates (RSMRs) among all patients admitted with AMI. Kruskal-Wallis and Cochran-Armitage Trend tests assessed for statistical significance. Results: ICU admission rates for AMI patients varied markedly among hospitals (median 48%, IQR 35%-61%, range 0%-98%, Figure). Hospitals admitting more AMI patients to the ICU (higher quartiles) were (1) more likely to use critical care therapies in AMI patients overall (mechanical ventilation [Q1 to Q4: 13% to 16%], vasopressors/inotropes [17% to 21%], intra-aortic balloon pumps [4% to 7%], and pulmonary artery catheters [4% to 5%]; p for trend<0.05 in all comparisons). However, (2) there was no association between the hospital ICU admission rate and overall RSMR for all AMI patients (6% all quartiles; p=0.7271, Figure). Conclusion: ICU admission rates for AMI vary substantially across hospitals with evidence of greater use of ICU therapies in high admitting hospitals but without evidence of lower overall mortality. There is a need for further research to determine the optimal use of ICU care for contemporary populations of patients with AMI.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".