Cause of death in a contemporary cohort of patients with pulmonary arterial hypertension

European Heart Journal - Valvular and Structural Heart Disease

3 September 2026
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ESC Journals VALVULAR, MYOCARDIAL, PERICARDIAL, PULMONARY, CONGENITAL HEART DISEASE Pulmonary Circulation, Pulmonary Embolism, Right Heart Failure

Abstract

AbstractBackground

In pulmonary arterial hypertension (PAH), contemporary risk tools primarily estimate all-cause mortality, offering limited insight into what patients die from.

Aims

We aimed to characterize cause of death across baseline mortality risk strata and to examine baseline factors associated with PAH-related versus non-PAH-related death in a national PAH cohort.

Methods and results

Adult patients with Group 1 PAH registered in the Hellenic Pulmonary Hypertension Registry (2015–2024) were classified according to ESC/ERS three-strata risk score at baseline. Cause of death was adjudicated as PAH-related or non-PAH-related and further categorized. We modelled cause-specific mortality using competing-risk models with prespecified predictors. Model performance was summarized by discrimination and calibration. Among 462 patients followed for a median (IQR) of 2.2 (5.7) years, 163 deaths occurred; cause was adjudicated in 149 cases (55% PAH-related, 45% non-PAH-related). PAH-related deaths increased across risk strata, whereas the pattern of non-PAH causes did not differ significantly. Sepsis was the leading non-PAH cause. In multivariable competing-risk analyses, higher baseline risk for mortality and male sex independently aligned with PAH-related death, while older age aligned with non-PAH death. Discrimination was acceptable: AUC 0.77 (95% CI 0.70–0.83) for non-PAH death and 0.75 (95% CI 0.68–0.80) for PAH-related death. Integrated Brier score (IBS) improved versus null models, and calibration was good across the central predicted-risk distribution.

Conclusion

In contemporary PAH, what patients die from differs by baseline risk. PAH progression dominates in high-risk patients, whereas competing causes, especially sepsis, remain influential across strata. Cause-specific modelling may refine counselling, prevention, and resource allocation beyond all-cause risk alone.