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
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

1290895

Informations 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.

Auteurs

Yanxi Zeng (Y)

Department of Cardiology, Shigatse People's Hospital, Tibet, China.
Department of Cardiology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.

Gulinigeer Zhakeer (G)

Department of Cardiology, Shigatse People's Hospital, Tibet, China.
Department of Cardiology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.

Bingyu Li (B)

Department of Cardiology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.

Qing Yu (Q)

Department of Cardiology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.

Mingyuan Niu (M)

Department of Cardiology, Shigatse People's Hospital, Tibet, China.

Nuerbiyemu Maimaitiaili (N)

Department of Cardiology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.

Ma Mi (M)

Department of Cardiology, Shigatse People's Hospital, Tibet, China.

Zhuoga Deji (Z)

Department of Cardiology, Shigatse People's Hospital, Tibet, China.

Jianhui Zhuang (J)

Department of Cardiology, Shigatse People's Hospital, Tibet, China.
Department of Cardiology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.

Wenhui Peng (W)

Department of Cardiology, Shigatse People's Hospital, Tibet, China.
Department of Cardiology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.

Classifications MeSH