Paz Lopez-Doriga Ruiz, German Tapia, Inger J Bakken, Siri E Håberg, Hanne L Gulseth, Torild Skrivarhaug, Geir Joner, Lars C Stene
Parental education and occupation in relation to childhood type 1 diabetes: nationwide cohort study
Journal of epidemiology and community health
disturbed sleep patients copd impact quality life predict adverse outcomes identify distinct phenotypic clusters patients copd using objective sleep parameters evaluate associations clusters allcause mortality inform risk stratification longitudinal observational cohort study using nationwide veterans health administration data patients copd investigated sleep disorders sleep parameters extracted polysomnography physician interpretation using validated natural language processing algorithm performed cluster analysis using unsupervised machine learning algorithm kmeans examined association clusters mortality using cox regression analysis adjusted potential confounders visualized kaplanmeier estimates among 9992 patients copd clinically indicated baseline polysomnogram identified five distinct clusters based age comorbidity burden sleep parameters overall mortality increased 94 42 shortterm mortality 53 years ranged 34 243 cluster 1 5 cluster 1 younger age 5 high comorbidity burden three clusters total sleep time sleep efficiency significant associations mortality identified five distinct clinical clusters highlighted significant association total sleep time sleep efficiency mortality identified clusters highlight importance objective sleep parameters determining mortality risk phenotypic characterization population