Predictors of in-Hospital Mortality in Chemotherapy-Associated Cardiomyopathy: A National Inpatient Sample Analysis (2018-2022)
Recommended Citation
Shaik A, Muhammad A, Bajabar M, Shuhag S, Irshaid A, Gowda T, Mushtaq A, Arabi T. Predictors of in-Hospital Mortality in Chemotherapy-Associated Cardiomyopathy: A National Inpatient Sample Analysis (2018-2022). J Clin Oncol 2026; 44(16_Suppl):e24025.
Document Type
Conference Proceeding
Publication Date
5-27-2026
Publication Title
J Clin Oncol
Keywords
adult, age, alcoholism, blood clotting disorder, body weight loss, cardiomyopathy, cohort analysis, complication, conference abstract, controlled study, diabetes mellitus, electrolyte disturbance, female, high risk patient, hospitalization, human, hypertension, ICD-10, liver disease, major clinical study, male, metastasis, mortality, Munchausen syndrome, peripartum cardiomyopathy, predictive model, receiver operating characteristic, retrospective study
Abstract
Background: Chemotherapy-associated cardiomyopathy (CAC) is a recognized complication of cancer treatment, yet predictors of in-hospital mortality remain poorly characterized at the national level. We aimed to identify baseline clinical factors associated with mortality in hospitalized CAC patients. Methods: We conducted a retrospective cohort study using the National Inpatient Sample (2018-2022). Adults with cardiomyopathy (ICD-10: I420, I427, I428, I429) and chemotherapy exposure or cancer history (Z5111, Z5112, Z85) were included. Patients with ischemic, hypertensive, alcoholic, or postpartum cardiomyopathy were excluded. Survey-weighted multivariate logistic regression identified independent predictors of in-hospital mortality. Model discrimination was assessed using area under the receiver operating characteristic curve (AUC). Results: We identified 14, 896 hospitalizations (weighted national estimate: 74, 480). Mean age was 70.7 years and in-hospital mortality was 0.74% (n = 110). On multivariate analysis, independent predictors of mortality included metastatic cancer (aOR 4.01, 95% CI 2.31-6.96, p < 0.001), weight loss (aOR 3.74, 95% CI 2.28-6.14, p < 0.001), renal disease (aOR 2.51, 95% CI 1.67-3.76, p < 0.001), liver disease (aOR 2.26, 95% CI 1.12-4.56, p = 0.024), and increasing age (aOR 1.04 per year, 95% CI 1.02-1.07, p < 0.001). Female sex, coagulopathy, fluid/electrolyte disorders, complicated diabetes, and hypertension were not significantly associated with mortality. The prediction model demonstrated fair discrimination (AUC 0.746, 95% CI 0.700-0.792). Conclusions: In this nationally representative analysis of CAC hospitalizations, metastatic cancer, weight loss, renal disease, liver disease, and older age were independent predictors of in-hospital mortality. These findings may help identify high-risk patients requiring closer monitoring during hospitalization.
Volume
44
Issue
16_Suppl
First Page
e24025
