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Multicenter Study
. 2024 Feb;103(2):268-275.
doi: 10.1002/ccd.30940. Epub 2024 Jan 14.

Updated CRUSADE score to predict in-hospital bleeding: External validation in the Thai percutaneous coronary intervention registry

Affiliations
Multicenter Study

Updated CRUSADE score to predict in-hospital bleeding: External validation in the Thai percutaneous coronary intervention registry

Ply Chichareon et al. Catheter Cardiovasc Interv. 2024 Feb.

Abstract

Background: The Can Rapid Risk Stratification of Unstable Angina Patients Suppress Adverse Outcomes with Early Implementation of the ACC/AHA Guidelines (CRUSADE) score has been recommended to predict in-hospital bleeding risk in non-ST segment elevation myocardial infarction (NSTEMI) patients. The evaluation of the CRUSADE risk score in Asian patients undergoing contemporary percutaneous coronary intervention (PCI) for NSTEMI is necessary.

Aims: We aimed to validate and update the CRUSADE score to predict in-hospital major bleeding in NSTEMI patients treated with PCI.

Method: The Thai PCI registry is a large, prospective, multicenter PCI registry in Thailand enrolling patients between May 2018 and August 2019. The CRUSADE score was calculated based on 8 predictors including sex, diabetes, prior vascular disease (PVD), congestive heart failure (CHF), creatinine clearance (CrCl), hematocrit, systolic blood pressure, and heart rate (HR). The score was fitted to in-hospital major bleeding using the logistic regression. The original score was revised and updated for simplification.

Results: Of 19,701 patients in the Thai PCI registry, 5976 patients presented with NSTEMI. The CRUSADE score was calculated in 5882 patients who had all variables of the score available. Thirty-five percent were female, with a median age of 65.1 years. The proportion of diabetes, PVD, and CHF was 46%, 7.9%, and 11.2%, respectively. The original and revised models of the CRUSADE risk score had C-statistics of 0.817 (95% CI: 0.762-0.871) and 0.839 (95% CI: 0.789-0.889) respectively. The simplified CRUSADE score which contained only four variables (hematocrit, CrCl, HR, and CHF), had C-statistics of 0.837 (0.787-0.886). The calibration of the recalibrated, revised, and simplified model was optimal.

Conclusions: The full and simplified CRUSADE scores performed well in NSTEMI treated with PCI in Thai population.

Keywords: in-hospital bleeding; non-ST segment elevation myocardial infarction; percutaneous coronary intervention; updated CRUSADE score.

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References

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