Key result
Binary classification of pulmonary hypertension prioritizes early identification of revascularizable large-vessel lesions to guide therapy.
Why the study?
The etiology-driven 5-group classification of pulmonary hypertension is frequently challenged in real-world practice by cardiopulmonary multimorbidity, which often delays therapeutic decision making.
Answers are grounded in this paper and cite their sources.
This review proposes a complementary, pathophysiology-based binary framework (pulmonary large-vessel stenosis vs. pulmonary microvasculopathy) and 'SPC' (stenosis-PH-comorbidity) workflow to prioritize early identification of potentially revascularizable large-vessel disease and simplify clinical decision-making in patients with pulmonary hypertension and complex comorbidities.
Pulmonary hypertension (PH) is a hemodynamic condition arising from heterogeneous, often overlapping triggers. Although the etiology-driven 5-group classification provides an essential framework for disease definition and research standardization, it is frequently challenged in real-world practice, where cardiopulmonary multimorbidity is common and often delays therapeutic decision making. Here, we propose a complementary, treatment-oriented binary framework that stratifies pulmonary hypertension by dominant structural mechanisms: pulmonary microvasculopathy versus pulmonary large-vessel stenosis. Although anatomically grounded, this distinction primarily reflects pathophysiological processes, hemodynamic behaviors, and therapeutic responsiveness. Rather than supplanting current classifications, it highlights lesion-level features directly relevant to therapeutic strategy. We outline pragmatic diagnostic pathways integrating anatomical imaging, hemodynamic confirmation, and systematic evaluation of cardiopulmonary comorbidities, emphasizing early identification of potentially revascularizable large-vessel disease, where surgical or endovascular intervention may yield substantial and durable clinical benefit. This pathophysiology-driven perspective aims to simplify frontline decision making, reduce diagnostic delay, and support treatment precision across diverse clinical settings.
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Cao et al. (2026) conducted a review in Pulmonary hypertension. Pathophysiology-based binary framework (SPC: stenosis-PH-comorbidity workflow) vs. Traditional 5-group etiology-based WHO classification was evaluated.
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