Evidence map›Paper›PMID 41680824›Full record

ArticleRespiratory research2026

Clinical subtypes of co-morbid insomnia and obstructive sleep apnea (COMISA): results of a cluster analysis.

Yuan Shi, Xujun Feng, Fengyi Hao, Yuru Nie, Yihui Zhang, Zhaohua Chen, Siqi Guan, Larry D Sanford, Michael V Vitiello, Xiangdong Tang

Abstract read
In one paragraph

Article in Respiratory research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Yuan Shi *Sleep Medicine Center, Mental Health Center, National Center for Mental Disorders, Sleep Research Laboratory, Department of Respiratory and Clinical Care Medicine, West China Hospital, Sichuan University, Dian Xin Nan Jie 28#, Chengdu, 610041, China.
Xujun Feng *Sleep Medicine Center, Mental Health Center, National Center for Mental Disorders, Sleep Research Laboratory, Department of Respiratory and Clinical Care Medicine, West China Hospital, Sichuan University, Dian Xin Nan Jie 28#, Chengdu, 610041, China.
Fengyi HaoSleep Medicine Center, Mental Health Center, National Center for Mental Disorders, Sleep Research Laboratory, Department of Respiratory and Clinical Care Medicine, West China Hospital, Sichuan University, Dian Xin Nan Jie 28#, Chengdu, 610041, China.
Yuru NieSleep Medicine Center, Mental Health Center, National Center for Mental Disorders, Sleep Research Laboratory, Department of Respiratory and Clinical Care Medicine, West China Hospital, Sichuan University, Dian Xin Nan Jie 28#, Chengdu, 610041, China.
Yihui ZhangSleep Medicine Center, Mental Health Center, National Center for Mental Disorders, Sleep Research Laboratory, Department of Respiratory and Clinical Care Medicine, West China Hospital, Sichuan University, Dian Xin Nan Jie 28#, Chengdu, 610041, China.
Zhaohua ChenSleep Medicine Center, Mental Health Center, National Center for Mental Disorders, Sleep Research Laboratory, Department of Respiratory and Clinical Care Medicine, West China Hospital, Sichuan University, Dian Xin Nan Jie 28#, Chengdu, 610041, China.
Siqi GuanSleep Medicine Center, Mental Health Center, National Center for Mental Disorders, Sleep Research Laboratory, Department of Respiratory and Clinical Care Medicine, West China Hospital, Sichuan University, Dian Xin Nan Jie 28#, Chengdu, 610041, China.
Larry D SanfordSleep Research Laboratory, Center for Integrative Neuroscience and Inflammatory Diseases, Pathology and Anatomy, Eastern Virginia Medical School, Norfolk, VA, USA.
Michael V VitielloDepartment of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, USA.
Xiangdong TangSleep Medicine Center, Mental Health Center, National Center for Mental Disorders, Sleep Research Laboratory, Department of Respiratory and Clinical Care Medicine, West China Hospital, Sichuan University, Dian Xin Nan Jie 28#, Chengdu, 610041, China. 2372564613@qq.com.

Funding

Ministry of Science and Technology of the People's Republic of China 2021ZD0201900National Natural Science Foundation of China 82120108002
6 · The paper itself

Abstract

backgroundVariations in the bidirectional relationship between obstructive sleep apnea (OSA) and insomnia in co-morbid insomnia and OSA (COMISA) may form distinct subtypes of COMISA, which have not been previously characterized. This study aims to identify and characterize subtypes of COMISA.

methodsFrom a community-recruited COMISA cohort 256 individuals who met diagnosis for COMISA were used to identify subtypes using a two-step clustering methodology. Demographics and multidimension clinical characteristics were collected and compared among obtained subtypes. Logistic models were used to evaluate whether these subtypes were associated with cardiometabolic and mental disorders. A clinical cohort of 1816 COMISA patients was used to validate the determined clusters applying the same two-step clustering methodology.

resultsCluster analysis yielded three clusters (COMISA subtypes): “moderate OSA and moderate insomnia” (cluster 1), “moderate OSA and severe insomnia” (Cluster 2) and “severe OSA and moderate insomnia” (Cluster 3), consisting of 58.2%, 21.9% and 19.9% of the entire cohort, which was validated using the clinical COMISA cohort. The clusters differed significantly on a variety of clinical measurements, including blood indicators related to cardiometabolic risk, inflammation and liver function, depression symptoms, and encephalogram (EEG) spectral power. Cluster 2 was associated with elevated risk of moderate-to-severe depression symptoms, while Cluster 3 was associated with increased risk of CVD and metabolic syndrome.

conclusionThese findings provide important preliminary evidence of the existence of phenotypes of COMISA which are likely to have clinical relevance and provide a foundation in precision medicine for treatment of COMISA.

Indexed as

Sleep Apnea, ObstructiveSleep Initiation and Maintenance DisordersAdultAgedCluster AnalysisClustering AlgorithmsCohort StudiesComorbidityFemaleHumansMaleMiddle AgedCluster analysisCOMISAPrecision medicineSubtypes

Identifiers

PMID41680824
PMCPMC12998145

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