Open AccessThe STOP-Bang Test Is Useful for Predicting the Severity of Obstructive Sleep Apnea
Author(s) -
Hideto Oshita,
Noriaki Ito,
Misato Senoo,
Kunihiko Funaishi,
Yasuyuki Mitama,
Ken Okusaki
Publication year - 2020
Publication title -
jma journal
Language(s) - English
Resource type - Journals
eISSN - 2433-3298
pISSN - 2433-328X
DOI - 10.31662/jmaj.2020-0002
Subject(s) - medicine , polysomnography , obstructive sleep apnea , rank correlation , apnea , apnea–hypopnea index , risk factor , spearman's rank correlation coefficient , sleep apnea , multivariate analysis , correlation , cardiology , statistics , mathematics , geometry , machine learning , computer science
The STOP-Bang test was used to detect patients at high risk of obstructive sleep apnea (OSA). We evaluated the usefulness of the STOP-Bang test for predicting the severity of OSA in Japanese patients.