PMID- 38259305
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20240124
IS  - 2297-055X (Print)
IS  - 2297-055X (Electronic)
IS  - 2297-055X (Linking)
VI  - 10
DP  - 2023
TI  - A novel clinical prediction scoring system of high-altitude pulmonary 
      hypertension.
PG  - 1290895
LID - 10.3389/fcvm.2023.1290895 [doi]
LID - 1290895
AB  - 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 GENTH score model (Glycated hemoglobin [OR = 4.5], 
      Echocardiography sign [OR = 9.1], New York Heart Association-functional class 
      [OR = 12.5], Total bilirubin [OR = 3.3], and Hematocrit [OR = 3.6]), incorporated 
      five independent risk factors and demonstrated strong predictive accuracy. In the 
      training set, the area under the curve (AUC) values for predicting the occurrence 
      and severity of HAPH were 0.851 and 0.832, respectively, while in the validation 
      set, they were 0.841 and 0.893. In the validation set, GENTH score model cutoff 
      values of </=18 or >18 points were established for excluding or confirming HAPH, 
      and a threshold of >30 points indicated severe HAPH. 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.
CI  - (c) 2024 Zeng, Zhakeer, Li, Yu, Niu, Maimaitiaili, Mi, Deji, Zhuang and Peng W.
FAU - Zeng, Yanxi
AU  - Zeng Y
AD  - Department of Cardiology, Shigatse People's Hospital, Tibet, China.
AD  - Department of Cardiology, Shanghai Tenth People's Hospital, School of Medicine, 
      Tongji University, Shanghai, China.
FAU - Zhakeer, Gulinigeer
AU  - Zhakeer G
AD  - Department of Cardiology, Shigatse People's Hospital, Tibet, China.
AD  - Department of Cardiology, Shanghai Tenth People's Hospital, School of Medicine, 
      Tongji University, Shanghai, China.
FAU - Li, Bingyu
AU  - Li B
AD  - Department of Cardiology, Shanghai Tenth People's Hospital, School of Medicine, 
      Tongji University, Shanghai, China.
FAU - Yu, Qing
AU  - Yu Q
AD  - Department of Cardiology, Shanghai Tenth People's Hospital, School of Medicine, 
      Tongji University, Shanghai, China.
FAU - Niu, Mingyuan
AU  - Niu M
AD  - Department of Cardiology, Shigatse People's Hospital, Tibet, China.
FAU - Maimaitiaili, Nuerbiyemu
AU  - Maimaitiaili N
AD  - Department of Cardiology, Shanghai Tenth People's Hospital, School of Medicine, 
      Tongji University, Shanghai, China.
FAU - Mi, Ma
AU  - Mi M
AD  - Department of Cardiology, Shigatse People's Hospital, Tibet, China.
FAU - Deji, Zhuoga
AU  - Deji Z
AD  - Department of Cardiology, Shigatse People's Hospital, Tibet, China.
FAU - Zhuang, Jianhui
AU  - Zhuang J
AD  - Department of Cardiology, Shigatse People's Hospital, Tibet, China.
AD  - Department of Cardiology, Shanghai Tenth People's Hospital, School of Medicine, 
      Tongji University, Shanghai, China.
FAU - Peng, Wenhui
AU  - Peng W
AD  - Department of Cardiology, Shigatse People's Hospital, Tibet, China.
AD  - Department of Cardiology, Shanghai Tenth People's Hospital, School of Medicine, 
      Tongji University, Shanghai, China.
LA  - eng
PT  - Journal Article
DEP - 20240108
PL  - Switzerland
TA  - Front Cardiovasc Med
JT  - Frontiers in cardiovascular medicine
JID - 101653388
PMC - PMC10801263
OTO - NOTNLM
OT  - GENTH score model
OT  - high-altitude
OT  - high-altitude pulmonary hypertension
OT  - prediction model
OT  - pulmonary hypertension
COIS- 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.
EDAT- 2024/01/23 12:42
MHDA- 2024/01/23 12:43
PMCR- 2023/01/01
CRDT- 2024/01/23 10:24
PHST- 2023/10/23 00:00 [received]
PHST- 2023/12/15 00:00 [accepted]
PHST- 2024/01/23 12:43 [medline]
PHST- 2024/01/23 12:42 [pubmed]
PHST- 2024/01/23 10:24 [entrez]
PHST- 2023/01/01 00:00 [pmc-release]
AID - 10.3389/fcvm.2023.1290895 [doi]
PST - epublish
SO  - Front Cardiovasc Med. 2024 Jan 8;10:1290895. doi: 10.3389/fcvm.2023.1290895. 
      eCollection 2023.