Self‐reported oral moistening disorders in obstructive sleep apnoea: A scoping review

M Raoof, MC Verhoeff, R Kooshki… - Journal of Oral …, 2024 - Wiley Online Library
Background Obstructive sleep apnoea (OSA) is a highly prevalent problem with significant
consequences. Continuous positive airway pressure (CPAP) and oral mandibular …

[HTML][HTML] Comorbidity Profile and Predictors of Obstructive Sleep Apnea Severity and Mortality in Non-Obese Obstructive Sleep Apnea Patients

D Milicic Ivanovski, B Milicic Stanic, I Kopitovic - Medicina, 2023 - mdpi.com
Backgrounds and Objectives: Obstructive sleep apnea (OSA) is associated with increased
morbidity and mortality. OSA is an independent risk factor for many different conditions …

Modified STOP-bang questionnaire incorporating morning dry mouth and BMI adjustment in China: a retrospective study of 590 patients

X Ma, C Zhang, L Feng, Y Shen, J Ma… - Expert Review of …, 2023 - Taylor & Francis
Background Morning dry mouth (MDM) is a common symptom of Obstructive Sleep Apnea
(OSA) yet current OSA screening tools overlook it. Objective To enhance the specificity of the …

Development and Validation of a Nomogram for Predicting Obstructive Sleep Apnea Severity in Children

Y Liu, SQ Xie, X Yang, JL Chen… - Nature and Science of …, 2024 - Taylor & Francis
Purpose The clinical presentation of Obstructive Sleep Apnea (OSA) in children is insidious
and harmful. Early identification of children with OSA, particularly those at a higher risk for …

[HTML][HTML] Development and validation of a risk prediction model for arthritis in community-dwelling middle-aged and older adults in China

M Huang, Y Guo, Z Zhou, C Xu, K Liu, Y Wang, Z Guo - Heliyon, 2024 - cell.com
Background Considering its high prevalence, estimating the risk of arthritis in middle-aged
and older Chinese adults is of particular interest. This study was conducted to develop a risk …

[HTML][HTML] OSApredictor: A tool for prediction of moderate to severe obstructive sleep apnea-hypopnea using readily available patient characteristics

A Talukder, Y Li, D Yeung, M Shi, DM Umbach… - Computers in Biology …, 2024 - Elsevier
Sleep apnea is a common sleep disorder. The availability of an easy-to-use sleep apnea
predictor would provide a public health benefit by promoting early diagnosis and treatment …

A Machine Learning Prediction Model of Adult Obstructive Sleep Apnea Based on Systematically Evaluated Common Clinical Biochemical Indicators

J Huang, J Zhuang, H Zheng, L Yao… - Nature and Science …, 2024 - Taylor & Francis
Objective Obstructive sleep apnea (OSA) is a common and potentially fatal sleep disorder.
The purpose of this study was to construct an objective and easy-to-promote model based …

[HTML][HTML] A machine learning model to predict the risk of depression in US adults with obstructive sleep apnea hypopnea syndrome: a cross-sectional study

E Li, F Ai, C Liang - Frontiers in Public Health, 2024 - frontiersin.org
Objective Depression is very common and harmful in patients with obstructive sleep apnea
hypopnea syndrome (OSAHS). It is necessary to screen OSAHS patients for depression …

Development and application of a machine learning-based predictive model for obstructive sleep apnea screening

K Liu, S Geng, P Shen, L Zhao, P Zhou, W Liu - Frontiers in big Data, 2024 - frontiersin.org
Objective To develop a robust machine learning prediction model for the automatic
screening and diagnosis of obstructive sleep apnea (OSA) using five advanced algorithms …

Povezanost serumske koncentracije urotenzina II s kliničkim, laboratorijskim i antropometrijskim parametrima u bolesnika s opstrukcijskom apnejom tijekom spavanja

A Mihovilović - 2024 - dr.nsk.hr
Uvod: U razvoj OSA-e uključeni su, osim anatomskih varijabli i statičko-dinamički
patofiziološki čimbenici zbog kojih dolazi do repetitivne opstrukcije disanja tijekom noći koja …