Key result
Higher HFpEF-ABA score is linked to ~73% higher clinical worsening risk per SD in CTEPH.
Why the study?
CTEPH and HFpEF share overlapping clinical features despite distinct pathophysiology, motivating evaluation of the HFpEF-ABA algorithm to characterize HFpEF pretest probability in CTEPH and its association with left heart disease and clinical worsening.
Does a higher pretest probability of HFpEF quantified by the HFpEF-ABA score predict clinical worsening and improve risk stratification beyond COMPERA 2.0 in patients with chronic thromboembolic pulmonary hypertension?
Cohort (n=466)
No
Does a higher pretest probability of HFpEF quantified by the HFpEF-ABA score predict clinical worsening and improve risk stratification beyond COMPERA 2.0 in patients with chronic thromboembolic pulmonary hypertension?
Quantifying HFpEF pretest probability using the simple clinical HFpEF-ABA score independently predicts clinical worsening and significantly enhances the discriminative accuracy of the COMPERA 2.0 risk model in patients with CTEPH.
Answers are grounded in this paper and cite their sources.
HFpEF-ABA score was associated with clinical worsening in CTEPH; leaves open whether it enhances COMPERA 2.0 stratification in prospective studies.
Background Chronic thromboembolic pulmonary hypertension (CTEPH) and left heart disease, particularly heart failure with preserved ejection fraction (HFpEF), show overlapping clinical features despite distinct pathophysiology. Objectives The HFpEF‐ABA algorithm (age, body mass index, atrial fibrillation) was used to characterize HFpEF pretest probability in patients with CTEPH and evaluate its association with left heart disease and clinical worsening. Methods Among 466 patients with CTEPH stratified by HFpEF‐ABA score (low < 25%, intermediate 25%–74%, high ≥ 75%), Spearman's correlation assessed associations with common left heart disease comorbidities. Kaplan‐Meier analysis and Cox regression evaluated associations with clinical worsening, with restricted cubic splines assessing the dose‐response relationship and non‐linearity. Subgroup analyses by sex, smoking, alcohol use, hypertension, coronary artery disease, and obstructive sleep apnea assessed the consistency. We also evaluated whether adding the HFpEF‐ABA score improved COMPERA 2.0 discrimination for clinical worsening. Results Intermediate and high HFpEF probability was found in 52.4% ( n = 244) and 9.0% ( n = 42), respectively. After adjustment, each standard deviation increase in HFpEF probability was associated with an approximately 73% increase in clinical worsening ( p < 0.001). Results were consistent for HFpEF probability ( p < 0.05), with no significant subgroup interactions. Adding HFpEF‐ABA with COMPERA 2.0 improved discrimination, increasing the C‐index increasing from 0.532 to 0.634 ( p = 0.012). Conclusions Assessing HFpEF probability in patients with CTEPH identifies those at high risk for this comorbidity and improves the precision when integrated with existing risk models.
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Wang et al. (2026) conducted a cohort in Chronic thromboembolic pulmonary hypertension (CTEPH) (n=466). HFpEF-ABA score (per SD increase or high probability ≥75%) vs. Lower HFpEF-ABA score (<75% or <25% low probability) was evaluated on Clinical worsening (composite of all-cause mortality, unplanned rehospitalization due to worsening pulmonary hypertension or right heart failure, or escalation of targeted pulmonary hypertension therapy) (HR 1.730, 95% CI 1.368-2.188, p=<0.001). Each SD increase in HFpEF-ABA score independently increased the risk of clinical worsening by 73% (HR 1.730, 95% CI 1.368-2.188, p < 0.001) in patients with CTEPH.
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