External validation of a novel cancer-associated venous thromboembolism risk assessment score in a safety-net hospital
Year: 2024
Type: article
Study design: Observational Study
Abstract: Background: Cancer-associated thrombosis (CAT) is a leading cause of death in patients diagnosed with cancer. However, pharmacologic thromboprophylaxis use in cancer patients must be carefully evaluated due to a 2-fold increased risk of experiencing a major bleeding event within this population. The electronic health record CAT (EHR-CAT) risk assessment model (RAM) was recently developed, and reports improved performance over the widely used Khorana score. Extensive RAM external validation is crucial to determine accuracy across diverse patient populations prior to clinical utilization. Objectives: To externally validate EHR-CAT using data from 2103 patients with cancer at the Boston Medical Center (BMC), New England's largest safety-net hospital, and to compare this RAM with the Khorana score. Methods: We conducted a retrospective study of BMC cancer patients diagnosed between January 2014 and December 2022 using data from the BMC tumor registry and EHR system. We validated the RAM using measures of discrimination and calibration. Results: The EHR-CAT score exhibited a strong ability to discriminate the risk of CAT (C statistic, 0.67), which was substantially higher than the classic Khorana score (C statistic, 0.58). This increased discrimination power reflects the 20% of patients that were reclassified into high or low risk by the expanded score. Model calibration was also strong in this dataset. Conclusion: In our external validation, the recently published EHR-CAT score showed clear and improved separation of patients at high and low risk for CAT. The utilization of this expanded CAT score could facilitate improved targeting of at-risk cancer patients for prophylactic therapy.
Authors: Karlynn N. Dulberger, Jennifer La, Ang Li, Saran Lotfollahzadeh, Asha Jose, Nhan V. Do, Mary T. Brophy, J. Michael Gaziano, Katya Ravid, Vipul C. Chitalia, Nathanael R. Fillmore
Language: English
Subfield: Internal Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,250
Funders: U.S. Department of Veterans Affairs, American Heart Association, Merck, Cancer Prevention and Research Institute of Texas, National Institutes of Health, National Heart, Lung, and Blood Institute, NHLBI Division of Intramural Research, Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity
Awards: Cancer-Associated Thromboembolism as Affected by Health Disparities (CAT-HD), G3906665735, Recruitment of First-Time, Tenure-Track Faculty Members, G5509163859, Development and molecular validation of a health-disparities-informed thromboembolism risk model in cancer patients, G8640530816, AIM-AHEAD Coordinating Center - All Four Cores, G9000064959, G9000075993, G9000292904, Multidisciplinary Training Program in Cardiovascular Epidemiology, Epidemiology and Biomarkers in Transplant Associated Thrombotic Microangiopathy (TA-TMA): A Prospective Validation Cohort Study
OpenAlex ID: W4404958182
