Respiratory effort during sleep and the rate of prevalent type 2 diabetes in obstructive sleep apnoea
Authors' conclusion
These findings show for the first time that the proportion of sleep time spent in increased RE (assessed through MJM measurements) is an important predictor of the association with type 2 diabetes in individuals with OSA.
Study context
- Population
- Patients with suspected obstructive sleep apnoea (OSA) referred for in-laboratory polysomnography (PSG)
- Participants
- 1,128 patients
- Exposure
- Training vs Validation
- Trainingn = 853
- Validationn = 275
- Outcome
- Association between total sleep time (TST) spent in increased respiratory effort (REMOV [%TST]) and prevalent T2D
Methodological detailsexplainable machine-learning model, training and validation subsets
- Explainable machine-learning model
- Training and validation subsets
Main finding
As reported in the abstract
Prediction of prevalent T2D by classification model (18 input features incl. REMOV)
Sensitivity
0.81
Specificity
0.89
Observational data: associations, not effects.
Original publication
Respiratory effort during sleep and the rate of prevalent type 2 diabetes in obstructive sleep apnoea. Diabetes Obes Metab. Published 13 June 2023. doi:10.
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