CAD-LT score effectively predicts risk of significant coronary artery disease in liver transplant candidates

If you need an accessible version of this item, please email your request to digschol@iu.edu so that they may create one and provide it to you.
Date
2021-07
Language
English
Embargo Lift Date
Committee Members
Degree
Degree Year
Department
Grantor
Journal Title
Journal ISSN
Volume Title
Found At
Elsevier
Abstract

Background & Aims Patients with cirrhosis and significant coronary artery disease (CAD) are at risk of peri-liver transplantation (LT) cardiac events. The coronary artery disease in liver transplantation (CAD-LT) score and algorithm aim to predict the risk of significant CAD in LT candidates and guide pre-LT cardiac evaluation. Methods Patients who underwent pre-LT evaluation at Indiana University (2010-2019) were studied retrospectively. Stress echocardiography (SE) and cardiac catheterization (CATH) reports were reviewed. CATH was performed for predefined CAD risk factors, irrespective of normal SE. Significant CAD was defined as CAD requiring percutaneous or surgical intervention. A multivariate regression model was constructed to assess risk factors. Receiver-operating curve analysis was used to compute a point-based risk score and a stratified testing algorithm. Results A total of 1,771 pre-LT patients underwent cardiac evaluation, including results from 1,634 SE and 1,266 CATH assessments. Risk-adjusted predictors of significant CAD at CATH were older age (adjusted odds ratio 1.05; 95% CI 1.03–1.08), male sex (1.69; 1.16–2.50), diabetes (1.57; 1.12–2.22), hypertension (1.61; 1.14–2.28), tobacco use (pack years) (1.01; 1.00–1.02), family history of CAD (1.63; 1.16–2.28), and personal history of CAD (6.55; 4.33–9.90). The CAD-LT score stratified significant CAD risk as low (≤2%), intermediate (3% to 9%), and high (≥10%). Among patients who underwent CATH, a risk-based testing algorithm (low: no testing; intermediate: non-invasive testing vs. CATH; high: CATH) would have identified 97% of all significant CAD and potentially avoided unnecessary testing (669 SE [57%] and 561 CATH [44%]). Conclusions The CAD-LT score and algorithm (available at www.cad-lt.com) effectively stratify pre-LT risk for significant CAD. This may guide more targeted testing of candidates with fewer tests and faster time to waitlist. Lay summary The coronary artery disease in liver transplantation (CAD-LT) score and algorithm effectively stratify patients based on their risk of significant coronary artery disease. The CAD-LT algorithm can be used to guide a more targeted cardiac evaluation prior to liver transplantation.

Description
item.page.description.tableofcontents
item.page.relation.haspart
Cite As
Rachwan, R. J., Kutkut, I., Timsina, L. R., Bou Chaaya, R. G., El-Am, E. A., Sabra, M., Mshelbwala, F. S., Rahal, M. A., Lacerda, M. A., Kubal, C. A., Fridell, J. A., Ghabril, M. S., Bourdillon, P. D., & Mangus, R. S. (2021). CAD-LT score effectively predicts risk of significant coronary artery disease in liver transplant candidates. Journal of Hepatology, 75(1), 142–149. https://doi.org/10.1016/j.jhep.2021.01.008
ISSN
Publisher
Series/Report
Sponsorship
Major
Extent
Identifier
Relation
Journal
Journal of Hepatology
Source
Author
Alternative Title
Type
Article
Number
Volume
Conference Dates
Conference Host
Conference Location
Conference Name
Conference Panel
Conference Secretariat Location
Version
Author's manuscript
Full Text Available at
This item is under embargo {{howLong}}