Effect of β-blocker Prescription on the Incidence of Postoperative Myocardial Infarction after Hip and Knee Arthroplasty
Bibliographic record
Abstract
BACKGROUND: American College of Cardiology/American Heart Association guidelines recommend beta-blockade for selected low- and intermediate-risk noncardiac surgery patients. The authors evaluated the effect of perioperative beta-blockade on postoperative myocardial infarction (POMI) in low-risk patients undergoing intermediate-risk surgery. METHODS: Patients who underwent elective hip or knee arthroplasty between January 1, 2002 and June 30, 2006 were identified. POMI was defined as a Troponin T value of more than 0.1 ng . ml(-1). Patients were divided into three groups: those prescribed a beta-blocker on the day of surgery and throughout their hospital stay (or 7 days, whichever came first), those prescribed a beta-blocker on the day of surgery but discontinued during the first 7 days, and those not prescribed a beta-blocker on the day of surgery. Propensity analysis and logistic regression were used to determine the independent association of beta-blocker exposure on POMI. RESULTS: Of the 5,158 arthroplasty patients, 992 (18%) were treated with beta-blockers on the day of surgery. This beta-blocker was discontinued in 252 patients (25%). POMI occurred in 77 patients (1.5%). Discontinuation of beta-blocker prescription was significantly associated with POMI (odds ratio 2.0; 95% CI 1.1-3.9) and death (odds ratio 2.0; 95% CI 1.0-3.9). CONCLUSION: After adjustment for confounders, discontinuation of beta-blocker prescription during the first week after surgery was significantly associated with POMI and death. These findings confirm the American College of Cardiology/American Heart Association Guidelines on Perioperative Cardiovascular Evaluation and Care for Noncardiac Surgery, which recommend not to withdraw beta-blocker therapy.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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".