Predictors of Coronary Artery Disease (CAD) In Potential Liver Transplant (LT) Recipients and Performance ofThe CAD-LT Score In Identifying A Risk-Based Strategy For CAD

Background and Aim: Coronary artery disease (CAD) in potential liver transplant (LT) recipients portends higher waitlist mortality worse post-LT outcomes. Age, smoking metabolic risk factors have been shown to predict CAD. However, there remains a lack of consensus on risk-based screening strategies. Recently, Artery Disease In Liver Transplantation (CAD-LT) score has proposed as stratification tool. We aimed analyse the associated with CAD assessed performance CAD-LT score. Methods: Patients decompensated cirrhosis who underwent pre-LT evaluation for were included. Records invasive coronary angiography (ICA) evaluated presence was calculated using available online calculator (https://www.cad-lt.com/). Multivariate logistic regression analysis performed predictors Diagnostic area under receiver operating characteristic curve (AUROC). Results: 105 patients [80.9% males, mean age 48.2±8.8, MELD 19 (15-23), alcohol 46.6%, NAFLD 16.1%] 18 (18.75%) had evidence any based upon ICA while 13 (13.5%) significant CADPatients significantly older, more hypertensive (33% vs. 7.7%, p<0.01) diabetic (50% vs.16.7%, p=<0.01). Age [any OR (95%CI), 1.1(1.0-1.2), CAD, 1.09(1.0-1.2)] hypertension [Any 3.7(0.8-17.20), Significant 6.1(1.5-25)] emerged two strongest predictors. compared other aetiologias (p=0.04). For prediction sensitivity 76.9%, specificity 79.5%, AUROC 0.806 (95% CI 0.71-0.88) (cut-off criterion>7). Identification low/low-intermediate LT could avoided 70% ICAs. Conclusion: are recipients.