ORCID

0000-0001-8425-8778 (Sanford)

Document Type

Article

Publication Date

2026

DOI

10.1186/s12931-026-03577-7

Publication Title

Respiratory Research

Volume

27

Issue

1

Pages

136

Abstract

Background

Variations 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.

Methods

From 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.

Results

Cluster 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.

Conclusion

These 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.

Rights

© The Authors 2026

 This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if you modified the licensed material. You do not have permission under this license to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.

Data Availability

Article states: "The datasets used and analyzed during the current study are available from the corresponding author on reasonable request."

Original Publication Citation

Shi, Y., Feng, X., Hao, F., Nie, Y., Zhang, Y., Chen, Z., Guan, S., Sanford, L. D., Vitiello, M. V., & Tang, X. (2026). Clinical subtypes of co-morbid insomnia and obstructive sleep apnea (COMISA): Results of a cluster analysis. Respiratory Research, 27(1), Article 136. https://doi.org/10.1186/s12931-026-03577-7

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