Abstract P1044: External validation of a novel cancer-associated venous thromboembolism risk assessment score in a safety-net hospital

S Saran Lotfollahzadeh K Karlynn N. Dulberger (Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), Cambridge, Massachusetts, United States) J Jennifer La (BOSTON UNIVERSITY SCHOOL MEDICINE, Boston, Massachusetts, United States) K Katya Ravid N Nhan Do (Massachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, Massachusetts, United States) M Mary Brophy (Massachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, Massachusetts, United States) M Michael Gaziano (Boston VA Healthcare System, Allston, Massachusetts, United States) A Ang Li (State Key Laboratory of Chemical Biology, Shanghai Institute of Organic Chemistry) V Vipul Chitalia N Nathanael Fillmore (Massachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, Massachusetts, United States)

Abstract

Background: Cancer-associated VTE (CAT) is the second leading cause of death in patients diagnosed with cancer. However, pharmacologic thromboprophylaxis use in cancer patients must be tightly regulated due to a two-fold increased risk of experiencing a major bleeding event within this population. A cancer-associated venous thromboembolism (CAT) risk assessment model (RAM) has recently been developed utilizing patient electronic health records (EHR) that reports improved performance over the prior state-of-the-art Khorana score. Objective: To externally validate a recently published RAM using EHR data from 2,103 cancer patients at Boston Medical Center, New England’s largest safety-net hospital, and to compare this RAM to the Khorana score. Methods: We conducted a retrospective study of Boston Medical Center (BMC) cancer patients diagnosed between January 2014 and December 2022 using data from the BMC tumor registry and electronic health record system. We validated the risk assessment model using measures of discrimination and calibration. Results: The recently published score exhibited a strong ability to discriminate risk of CAT (C statistic, 0.67) substantially higher than the classic Khorana score (C statistic, 0.58). This increased discrimination power reflects the 20% of patients correctly 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 CAT score clearly and improvedly separated patients at high and low risk for CAT. This expanded CAT score could facilitate improved selection of prophylactic therapy among cancer patients.

Article Details

Journal Circulation
Volume / Issue Vol. 151, Issue Suppl_1
Published March 11, 2025
ISSN 0009-7322
Publisher Lippincott Williams & Wilkins

Journal Info

Circulation

Lippincott Williams & Wilkins

ISSN: 0009-7322 Health Sciences

Authors (10)

S

Saran Lotfollahzadeh

K

Karlynn N. Dulberger

Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), Cambridge, Massachusetts, United States

J

Jennifer La

BOSTON UNIVERSITY SCHOOL MEDICINE, Boston, Massachusetts, United States

K

Katya Ravid

N

Nhan Do

Massachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, Massachusetts, United States

M

Mary Brophy

Massachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, Massachusetts, United States

M

Michael Gaziano

Boston VA Healthcare System, Allston, Massachusetts, United States

A

Ang Li

State Key Laboratory of Chemical Biology, Shanghai Institute of Organic Chemistry

V

Vipul Chitalia

N

Nathanael Fillmore

Massachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, Massachusetts, United States