Predicting cardiovascular toxicity in anti-PD-1/PD-L1 therapy: a risk factor analysis and model development

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Authors: Zhihui Yan, Juan Wang, Jianxiu Sun, Run Zhang, Jiayi Liu, Lihua Cao, Ming Zhang, Jiangtao Yu, Helei Hou, Wenzhong Zhang
Cited by: 1
References: 36

Abstract

Purpose This study aimed to investigate risk factors for cardiovascular toxicity following anti-PD-1/PD-L1 therapy and develop a predictive model. Methods We retrospectively collected data from 2,665 patients with solid tumors treated with anti-PD-1/PD-L1 therapy at two-center between October 2018 and October 2023.We performed univariate and multivariate logistic regression to identify predictors of cardiovascular toxicity and developed a nomogram. Internal evaluation and internal validation were performed using receiver operating characteristic (ROC), decision curve analysis (DCA), calibration curve (CC) for internal evaluation and internal validation. Results Univariate logistic regression identified the Systemic Inflammatory Response Index (SIRI;OR 2.26, 95% CI 1.19–4.27, p = 0.012), Eastern Cooperative Oncology Group performance status (ECOG;OR 9.67, 95% CI 3.04–30.69, p < 0.001), hypertension (OR 3.50, 95% CI 1.78–6.88, p < 0.001), diabetes (OR 2.52, 95% CI 1.13–5.66, p = 0.025), tumor metastasis (OR 0.17, 95% CI 0.08–0.39, p < 0.001), tumor stage (OR 0.40, 95% CI 0.21–0.76, p = 0.006), and sex (male vs. female)(OR 0.43, 95% CI 0.19–0.96, p = 0.040) as significant predictors. Multivariate analysis confirmed ECOG (OR 9.81, 95% CI 2.73–35.25, p < 0.001) and tumor metastasis (OR 0.26, 95% CI 0.10–0.71, p = 0.008) as independent predictors. Seven variables ( p < 0.05 in univariate analysis) were included in a nomogram, which showed good accuracy and discrimination (AUC 0.77, 95% CI 0.70–0.85). Conclusions SIRI, ECOG, hypertension, diabetes, tumor metastasis, tumor stage, and sex were significant predictors of cardiovascular toxicity. ECOG was an independent risk factor, while tumor metastasis was an independent protective factor, after adjusting for other covariates. The nomogram showed good accuracy and discrimination, with clinical utility for predicting cardiovascular toxicity risk in patients receiving anti-PD-1/PD-L1 therapy.

Fields of Study & Subjects

Cancer Immunotherapy and Biomarkers Inflammatory Biomarkers in Disease Prognosis Lung Cancer Research Studies

Publication details

Journal / source
Frontiers in Cardiovascular Medicine
Publisher
Frontiers Media SA
Volume
13
Pages
1731591–1731591
Publication date
3 March 2026
Language
EN