Risk assessment in precapillary pulmonary hypertension: a comparative analysis

Respiratory Research

Judith Löffler-Ragg¹  Manfred Nairz¹  Igor Theurl¹  Piotr Tymoszuk¹  Günter Weiss¹  Thomas Sonnweber¹  Eva-Maria Schneider¹ 

[1] Department of Internal Medicine II, Medical University Innsbruck;

关键词: Pulmonary hypertension;    Biomarkers;    Risk assessment;    Cardiovascular disease;    Mortality;   

DOI  :  10.1186/s12931-021-01624-z

来源: DOAJ

【 摘 要 】

Abstract Background Risk stratification is essential to assess mortality risk and guide treatment in patients with precapillary pulmonary hypertension (PH). We herein compared the accuracy of different currently used PH risk stratification tools and evaluated the significance of particular risk parameters. Methods We conducted a retrospective longitudinal observational cohort study evaluating seven different risk assessment approaches according to the current PH guidelines. A comprehensive assessment including multi-parametric risk stratification was performed at baseline and 4 yearly follow-up time-points. Multi-step Cox hazard analysis was used to analyse and refine risk prediction. Results Various available risk models effectively predicted mortality in patients with precapillary pulmonary hypertension. Right-heart catheter parameters were not essential for risk prediction. Contrary, non-invasive follow-up re-evaluations significantly improved the accuracy of risk estimations. A lack of accuracy of various risk models was found in the intermediate- and high-risk classes. For these patients, an additional evaluation step including assessment of age and right atrium area improved risk prediction significantly. Discussion Currently used abbreviated versions of the ESC/ERS risk assessment tool, as well as the REVEAL 2.0 and REVEAL Lite 2 based risk stratification, lack accuracy to predict mortality in intermediate- and high-risk precapillary pulmonary hypertension patients. An expanded non-invasive evaluation improves mortality risk prediction in these individuals.

【 授权许可】

Unknown