Risk prediction in medically treated chronic thromboembolic pulmonary hypertension

Ruilin Quan1, Yuanhua Yang2, Zhenwen Yang3

  • 1Department of Pulmonary Vascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167, Beilishi Road, Xicheng District, Beijing, 100037, China.

BMC Pulmonary Medicine
|April 21, 2021
PubMed

Insights

A new risk prediction model and score were developed for medically treated chronic thromboembolic pulmonary hypertension (CTEPH) patients. This tool improves prognostic accuracy and aids in guiding patient management strategies.

Area of Science:

  • Cardiology
  • Pulmonology
  • Medical Statistics

Background:

  • No comprehensive prognostic model exists for medically treated chronic thromboembolic pulmonary hypertension (CTEPH) patients.
  • Accurate risk stratification is crucial for optimizing management and improving outcomes in CTEPH.

Purpose of the Study:

  • To develop and validate a novel prognostic risk prediction model and a simplified risk score for medically treated CTEPH patients.
  • To compare the performance of the new model against the existing Swedish/COMPERA risk stratification method.

Main Methods:

  • A national multicenter prospective registry study enrolled 432 medically treated CTEPH patients.
  • A multivariable Cox proportional hazards model was used to derive the prognostic model and a risk score.
  • Model performance was assessed for discrimination and calibration, with internal and external validation.

Main Results:

  • The final model incorporated Swedish/COMPERA risk stratum, pulmonary vascular resistance (PVR), total bilirubin (TBIL), and chronic kidney disease (CKD).
  • The derived model and risk score demonstrated improved discriminatory power compared to the Swedish/COMPERA method alone (C-index > 0.715).
  • Validation in an external cohort confirmed the model's robust performance (C-index = 0.707 for model, 0.721 for score).

Conclusions:

  • A novel, validated risk stratification strategy can effectively predict prognosis in medically treated CTEPH patients.
  • This tool can assist clinicians in making informed decisions regarding patient management and treatment strategies.
Abstract

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