ORIGINAL RESEARCH article
Front. Med.
Sec. Pulmonary Medicine
Development and Validation of a Nomogram Prediction Model for Cardiovascular Comorbidities in COPD Patients Based on Hypertension
Zhaojun Chen 1
Huan Li 1
Yuli Cai 1
Xuliang Chen 1
Deyi Zhou 1
Yihuan Su 1
Chaofeng Lin 1
Liangde Li 1
Dongjie Huang 1
Riken Chen 1
Xiaoling Wu 1
Zhenzhen Zheng 1
Mingpeng Xu 2
1. Second Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
2. The Second Affiliated Hospital of Guangxi Medical University, Nanning, China
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Abstract
Objective: This study aimed to examine the association between hypertension and cardiovascular comorbidities in patients with chronic obstructive pulmonary disease (COPD) and to construct a nomogram for predicting the risk of cardiovascular comorbidities in this population. Methods: This retrospective study included 1,447 patients with chronic obstructive pulmonary disease (COPD) and no pre-existing cardiovascular disease (CVD) from January 2018 to February 2022 at the Second Affiliated Hospital of Guangdong Medical University, with follow-up extending until August 2025. Patients were randomly assigned to a training cohort (n = 1,012) and an internal validation cohort (n = 435) in a 7:3 ratio. Additionally, 624 patients treated at the Affiliated Hospital of Guangdong Medical University between January 2019 and December 2019 were included as an external validation cohort. Variables with non-zero coefficients were first selected using least absolute shrinkage and selection operator (LASSO) regression and were subsequently entered into univariable and multivariable logistic regression analyses. A nomogram was then constructed based on the results of the multivariable logistic regression, and the predictive performance of the nomogram was further evaluated. Results: The predictors incorporated into the nomogram model were age, diabetes mellitus, hypertension, and edema. The nomogram demonstrated good discriminative performance, with an area under the receiver operating characteristic (ROC) curve (AUC) of 0.82 (95% CI: 0.78–0.85) in the training cohort, 0.82 (95% CI: 0.77–0.87) in the internal validation cohort, and 0.90 (95% CI: 0.87–0.93) in the external validation cohort. Conclusion: This study demonstrated that the nomogram shows good discriminative performance and can effectively estimate the risk of cardiovascular disease in patients with chronic obstructive pulmonary disease. Age, diabetes mellitus, hypertension, and edema were identified as independent predictors.
Summary
Keywords
cardiovascular disease, Chronic obstructive pulmonary disease (COPD), Hypertension, nomogram, risk prediction
Received
13 December 2025
Accepted
19 February 2026
Copyright
© 2026 Chen, Li, Cai, Chen, Zhou, Su, Lin, Li, Huang, Chen, Wu, Zheng and Xu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Xiaoling Wu; Zhenzhen Zheng; Mingpeng Xu
Disclaimer
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