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Πέμπτη 13 Ιουλίου 2017

A Point-based Prediction Model for Cardiovascular Risk in Orthotopic Liver Transplantation: The CAR-OLT Score

ABSTRACT

Cardiovascular disease (CVD) complications are important causes of morbidity and mortality after orthotopic liver transplantation (OLT). There is currently no preoperative risk assessment tool that allows physicians to estimate the risk for CVD events following OLT. We sought to develop a point-based prediction model (risk score) for CVD complications after OLT, the CAR-OLT risk score, among a cohort of 1024 consecutive patients aged 18-75 years who underwent first OLT in a tertiary-care teaching hospital (2002-2011). The main outcome measures were major 1-year CVD complications, defined as death from a CVD cause or hospitalization for a major CVD event (myocardial infarction, revascularization, heart failure, atrial fibrillation, cardiac arrest, pulmonary embolism, and/or stroke). The bootstrap method yielded bias-corrected 95% confidence intervals for the regression coefficients of the final model.Among 1024 first OLT recipients, major CVD complications occurred in 329 (32.1%). Variables selected for inclusion in the model (using model optimization strategies) included pre-operative recipient age, sex, race, employment status, education status, history of hepatocellular carcinoma, diabetes, heart failure, atrial fibrillation, pulmonary or systemic hypertension, and respiratory failure. The discriminative performance of the CAR-OLT point-based score (C statistic=0.78, bias-corrected C statistic=0.77) was superior to other published risk models for postoperative CVD morbidity and mortality, and it had appropriate calibration (Hosmer-Lemeshow p=0.33). Conclusion: The point-based CAR-OLT risk score can identify patients at risk for CVD complications after OLT surgery (available at: www.carolt.us). This score may be useful for identification of candidates for further risk stratification or other management strategies to improve CVD outcomes after OLT. This article is protected by copyright. All rights reserved.



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