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Published on: December 6, 2016
Predictors of obstructive sleep apnea misclassification when using total bed time versus total sleep time
Wei Yang Lim1, Kay Choong See2
1Division of Respiratory & Critical Care Medicine, Department of Medicine, National University Hospital, Singapore, Singapore. wei_yang_lim@nuhs.edu.sg.
Using total bed time instead of total sleep time can misclassify obstructive sleep apnea (OSA) severity. Older age and lower BMI increase this risk, potentially leading to underdiagnosis of OSA.
Area of Science:
- Sleep Medicine
- Respiratory Medicine
- Diagnostic Accuracy
Background:
- Obstructive sleep apnea (OSA) is a widespread condition with serious health implications.
- Home sleep apnea tests are common for OSA diagnosis, but methodology may affect accuracy.
- Accurate OSA severity assessment is crucial for effective treatment and patient outcomes.
Purpose of the Study:
- To determine the frequency of OSA misclassification when using total bed time versus total sleep time.
- To identify predictors of OSA misclassification in patients undergoing sleep studies.
Main Methods:
- Retrospective observational study of 1621 patients from a tertiary hospital sleep laboratory.
- Misclassification defined as less severe OSA using total bed time compared to total sleep time.
- Logistic regression analysis to identify predictors of misclassification.
Main Results:
- 18.5% of patients (300/1621) were misclassified.
- Age (OR 1.02) and BMI (OR 0.97) were significant predictors of misclassification.
- Significant risk of misclassification observed in patients aged ≥57 years with BMI < 32.3 kg/m².
Conclusions:
- Total bed time may underestimate OSA severity, leading to misclassification.
- Older age and lower BMI are key risk factors for this diagnostic error.
- Clinical guidelines should consider these factors to ensure accurate OSA diagnosis and management.
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