A novel clinical prediction scoring system of high-altitude pulmonary hypertension.
GENTH score model
high-altitude
high-altitude pulmonary hypertension
prediction model
pulmonary hypertension
Journal
Frontiers in cardiovascular medicine
ISSN: 2297-055X
Titre abrégé: Front Cardiovasc Med
Pays: Switzerland
ID NLM: 101653388
Informations de publication
Date de publication:
2023
2023
Historique:
received:
23
10
2023
accepted:
15
12
2023
medline:
23
1
2024
pubmed:
23
1
2024
entrez:
23
1
2024
Statut:
epublish
Résumé
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. 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. This scoring system, referred to as the 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.
Sections du résumé
Background
UNASSIGNED
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
UNASSIGNED
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
UNASSIGNED
This scoring system, referred to as the
Conclusions
UNASSIGNED
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.
Identifiants
pubmed: 38259305
doi: 10.3389/fcvm.2023.1290895
pmc: PMC10801263
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1290895Informations de copyright
© 2024 Zeng, Zhakeer, Li, Yu, Niu, Maimaitiaili, Mi, Deji, Zhuang and Peng W.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.