Management Patterns in Relation to Risk Stratification Among Patients With Non–ST Elevation Acute Coronary Syndromes
Bibliographic record
Abstract
BACKGROUND: Randomized clinical trials have established the efficacy of an early invasive management strategy for high-risk non-ST elevation acute coronary syndromes (ACSs). We examined the use of in-hospital cardiac catheterization and medications in relation to risk across the broad spectrum of non-ST elevation ACSs. METHODS: We evaluated 4414 patients with non-ST elevation ACSs in the prospective, multicenter, Canadian ACS 1 (September 1, 1999-June 30, 2001) and ACS 2 (October 1, 2002-December 31, 2003) Registries. Patients were stratified into low-, intermediate-, and high-risk groups based on tertiles of the calculated Global Registry of Acute Coronary Events risk score (a validated predictor of in-hospital mortality). RESULTS: Although in-hospital mortality rates were similar, the in-hospital use of cardiac catheterization increased significantly over time (38.8% in the ACS 1 Registry vs 63.5% in the ACS 2 Registry; P<.001). The rates of cardiac catheterization in the low-, intermediate-, and high-risk groups were 48.0%, 41.1%, and 27.3% in the ACS 1 Registry, and 73.8%, 66.9%, and 49.7% in the ACS 2 Registry, respectively (P<.001 for trend for both). After adjusting for other confounders, intermediate-risk (adjusted odds ratio, 0.75; 95% confidence interval, 0.63-0.90; P<.001) and high-risk (adjusted odds ratio, 0.35; 95% confidence interval, 0.28-0.45; P<.001) patients remained less likely to undergo cardiac catheterization compared with low-risk patients. Furthermore, there existed a similar inverse relationship between risk and the use of in-hospital revascularization and medications. CONCLUSIONS: Despite temporal increases in the use of cardiac catheterization and revascularization in the management of non-ST elevation ACSs, evidence-based invasive and pharmacological therapies remain paradoxically targeted toward low-risk patients. Strategies to eliminate this treatment-risk paradox must be implemented to fully realize the benefits and optimize the cost-effectiveness of invasive management.
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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 | 0.001 | 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".