Nomograms to predict severe PH and survival in COPD patients using non-invasive parameters.

Xingxing Sun, Yuan Cao, Hanqing Zhu, Jianhua Xu, Bigyan Pudasaini, Wenlan Yang, Jinming Liu, Jian Guo

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Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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8 authors.

Xingxing Sun *Department of Pulmonary Function Test, Shanghai Pulmonary Hospital Affiliated to Tongji University, Shanghai, China.

Yuan Cao *Department of Pulmonary Function Test, Shanghai Pulmonary Hospital Affiliated to Tongji University, Shanghai, China.

Hanqing Zhu *Department of Pulmonary Function Test, Shanghai Pulmonary Hospital Affiliated to Tongji University, Shanghai, China.

Jianhua XuDepartment of Pulmonary Function Test, Shanghai Pulmonary Hospital Affiliated to Tongji University, Shanghai, China.

Bigyan PudasainiDepartment of Internal Medicine, Columbia Bainuo Clinic, Shanghai, China.

Wenlan YangDepartment of Pulmonary Function Test, Shanghai Pulmonary Hospital Affiliated to Tongji University, Shanghai, China.

Jinming LiuDepartment of Pulmonary Circulation, Shanghai Pulmonary Hospital Affiliated to Tongji University, Shanghai, China.

Jian GuoDepartment of Pulmonary Function Test, Shanghai Pulmonary Hospital Affiliated to Tongji University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aimed to develop simplified nomograms for predicting the likelihood of severe pulmonary hypertension (PH) in chronic obstructive pulmonary disease (COPD) patients and for predicting survival in COPD-associated pulmonary hypertension (COPD-PH) patients. Methods: A total of 179 COPD patients (128 without severe PH, and 51 with severe PH) were analyzed at the Shanghai Pulmonary Hospital Affiliated with Tongji University between 2013 and 2022. Variables, including demographic data and clinical examination findings, were collected. A multivariable logistic regression analysis was used to identify statistically significant PH variables for establishing a nomogram model. The multivariate Cox hazard analysis identified the predictors of death or lung transplantation, which were used to construct a nomogram. The models were evaluated based on discrimination, calibration, and clinical efficacy using the concordance index (C-index), calibration curve, and decision curve analysis. Results: Peripheral capillary oxygen saturation at peak (peak SpO Conclusion: The nomogram models based on clinical variables from the non-invasive testing offer an individualized tool to predict severe PH in COPD patients and survival in COPD-PH patients.

Indexed as

cardiopulmonary exercise testingchronic obstructive pulmonary diseasenomogramsevere pulmonary hypertensionsurvival

Identifiers

PMID42369148

DOI10.3389/fmed.2026.1745477

PMCPMC13294204

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