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April 10, 2026Open Access

Physiological phenotypes of obstructive sleep apnea identified by cluster analysis: Association with type 2 diabetes

Key Points

This research aims to identify different physiological phenotypes of obstructive sleep apnea (OSA) and their connection to type 2 diabetes (T2DM).
Utilized data-driven clustering techniques to categorize physiological characteristics of OSA.
Identified distinct types, including Severe desaturation type and REM-predominant type.
Explored associations between these phenotypes and type 2 diabetes.
Identified a strong association between the REM-predominant type of OSA and type 2 diabetes.
Highlighted the metabolic differences among individuals with OSA.
Emphasized the need for targeted interventions based on phenotypes.

Abstract

Data-driven clustering identified distinct physiological phenotypes of OSA. In addition to the Severe desaturation type, the REM-predominant type was also strongly associated with T2DM, underscoring the metabolic heterogeneity of OSA. Prospective studies are needed to determine causal relationships and evaluate phenotype-targeted interventions.

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Cite this study

Osawa et al. (Wed,) studied this question.

www.synapsesocial.com/papers/69d8968f6c1944d70ce0806b — DOI: https://doi.org/10.1111/jdi.70305

Authors

Saeko Osawa

Mitsutaka Taniguchi

Naohiko Ito

Journals

Journal of Diabetes Investigation

Actions

Institutions

Osaka Kaisei Hospital

References and Citations

Connected Papers

Building similarity graph...

Analyzing shared references across papers

Physiological phenotypes of obstructive sleep apnea identified by cluster analysis: Association with type 2 diabetes

Key Points

Abstract

Citation Network

Connected Papers

Discussion

Cite this study

Authors

Journals

Actions

Institutions

References and Citations

Citation Network

Connected Papers

Discussion