Prediction of High-Altitude Cardiorespiratory Fitness Impairment Using a Combination of Physiological Parameters During Exercise at Sea Level and Genetic Information in an Integrated Risk Model

Prediction of High-Altitude Cardiorespiratory Fitness Impairment Using a Combination of Physiological Parameters During Exercise at Sea Level and Genetic Information in an Integrated Risk Model

Insufficient cardiorespiratory compensation is closely associated with acute hypoxic symptoms and high-altitude (HA) cardiovascular events. To avoid such adverse events, predicting HA cardiorespiratory fitness impairment (HA-CRFi) is clinically important. However, to date, there is insufficient info...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Frontiers in cardiovascular medicine 2022-01, Vol.8, p.719776-719776
Hauptverfasser: Yang, Jie, Tan, Hu, Sun, Mengjia, Chen, Renzheng, Zhang, Jihang, Liu, Chuan, Yang, Yuanqi, Ding, Xiaohan, Yu, Shiyong, Gu, Wenzhu, Ke, Jingbin, Shen, Yang, Zhang, Chen, Gao, Xubin, Li, Chun, Huang, Lan
Format: Artikel
Sprache:eng
Schlagworte:
cardiorespiratory fitness (CRF)
Cardiovascular Medicine
hypoxia
prediction
single nucleotide polymorphism
SpO2
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Insufficient cardiorespiratory compensation is closely associated with acute hypoxic symptoms and high-altitude (HA) cardiovascular events. To avoid such adverse events, predicting HA cardiorespiratory fitness impairment (HA-CRFi) is clinically important. However, to date, there is insufficient information regarding the prediction of HA-CRFi. In this study, we aimed to formulate a protocol to predict individuals at risk of HA-CRFi. We recruited 246 volunteers who were transported to Lhasa (HA, 3,700 m) from Chengdu (the sea level [SL],
ISSN:2297-055X
2297-055X
DOI:10.3389/fcvm.2021.719776