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

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

  • By

  • Xingxing Sun

  • Yuan Cao

  • Hanqing Zhu

  • Jianhua Xu

  • Bigyan Pudasaini

  • Wenlan Yang

  • Jinming Liu

  • Jian Guo

  • June 11, 2026

  • 0 min

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  • 1

    The study developed nomograms to predict severe pulmonary hypertension (PH) and survival in COPD patients using non-invasive metrics.

  • 2

    A total of 179 COPD patients were analyzed, with 51 diagnosed with severe PH, to identify significant clinical variables.

  • 3

    Key predictors for severe PH included peak SpO2, peak VO2/kg, peak HR, and PASP, achieving a C-index of 0.906.

  • 4

    Survival predictors in the COPD-PH model were age, DLCO% predicted, and VE/VCO2 slope, with a C-index of 0.80.

  • 5

    The nomograms provide individualized tools for predicting severe PH and mortality risk, enhancing clinical decision-making.

Original Source(s)

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

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

  • June 11, 2026

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