Systematic Review: Prediction of Perioperative Cardiac Complications and Mortality by the Revised Cardiac Risk Index
Bibliographic record
Abstract
BACKGROUND: The Revised Cardiac Risk Index (RCRI) is widely used to predict perioperative cardiac complications. PURPOSE: To evaluate the ability of the RCRI to predict cardiac complications and death after noncardiac surgery. DATA SOURCES: MEDLINE, EMBASE, and ISI Web of Science (1966 to 31 December 2008). STUDY SELECTION: Cohort studies that reported the association of the RCRI with major cardiac complications (cardiac death, myocardial infarction, and nonfatal cardiac arrest) or death in the hospital or within 30 days of surgery. DATA EXTRACTION: Two reviewers independently extracted study characteristics, documented outcome data, and evaluated study quality. DATA SYNTHESIS: Of 24 studies (792 740 patients), 18 reported cardiac complications; 6 of the 18 studies were prospective and had uniform outcome surveillance and blinded outcome adjudication. The RCRI discriminated moderately well between patients at low versus high risk for cardiac events after mixed noncardiac surgery (area under the receiver-operating characteristic curve [AUC], 0.75 [95% CI, 0.72 to 0.79]); sensitivity, 0.65 [CI, 0.46 to 0.81]; specificity, 0.76 [CI, 0.58 to 0.88]; positive likelihood ratio, 2.78 [CI, 1.74 to 4.45]; negative likelihood ratio, 0.45 [CI, 0.31 to 0.67]). Prediction of cardiac events after vascular noncardiac surgery was less accurate (AUC, 0.64 [CI, 0.61 to 0.66]; sensitivity, 0.70 [CI, 0.53 to 0.82]; specificity, 0.55 [CI, 0.45 to 0.66]; positive likelihood ratio, 1.56 [CI, 1.42 to 1.73]; negative likelihood ratio, 0.55 [CI, 0.40 to 0.76]). Six studies reported death, with a median AUC of 0.62 (range, 0.54 to 0.78). A pooled AUC for predicting death could not be calculated because of very high heterogeneity (I(2) = 95%). LIMITATION: Studies generally were of low methodological quality, had varied definitions of cardiac events, and were statistically and clinically heterogeneous. CONCLUSION: The RCRI discriminated moderately well between patients at low versus high risk for cardiac events after mixed noncardiac surgery. It did not perform well at predicting cardiac events after vascular noncardiac surgery or at predicting death. High-quality research is needed in this area of perioperative medicine.
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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 | 0.012 | 0.071 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.011 | 0.008 |
| Bibliometrics | 0.009 | 0.008 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 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".