ArticleFrontiers in cardiovascular medicine2023
A novel clinical prediction scoring system of high-altitude pulmonary hypertension.
Article in Frontiers in cardiovascular medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 4 citations in OpenAlex.
- High altitude pulmonary hypertension: overlap with other types of pulmonary hypertension and implications for treatment.BMJ medicine · 2026Review
- Hypertension Prevalence Among People Lifted Out of Poverty in China in 2018-2023: Retrospective Spatiotemporal Analysis.JMIR public health and surveillance · 2025Article
- Machine learning-based integration develops an immune-derived signature for diagnosing high-altitude pulmonary hypertension.Frontiers in medicine · 2025Article
- Diagnosis model for assessing chronic thromboembolic pulmonary hypertension in high-altitude pulmonary embolism patients: a machine learning approach.Frontiers in medicine · 2025Article
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Authors and funding
10 authors at 3 institutions in 1 country.
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Abstract
Background: High-altitude pulmonary hypertension (HAPH) is a common disease in regions of high altitude where performing right heart catheterization (RHC) is challenging. The development of a diagnostic scoring system is crucial for effective disease screening. Methods: A total of 148 individuals were included in a retrospective analysis, and an additional 42 residents were prospectively enrolled. We conducted a multivariable analysis to identify independent predictors of HAPH. Subsequently, we devised a prediction score based on the retrospective training set to anticipate the occurrence and severity of HAPH. This scoring system was further subjected to validation in the prospective cohort, in which all participants underwent RHC. Results: This scoring system, referred to as the Conclusions: The GENTH score model, combining laboratory and echocardiography indicators, represents an effective tool for distinguishing potential HAPH patients and identifying those with severe HAPH. This scoring system improves the clinical screening of HAPH diseases and offers valuable insights into disease diagnosis and management.
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