• J Clin Anesth · Aug 2023

    Review Meta Analysis

    Validity of non-contact methods for diagnosis of Obstructive Sleep Apnea: a systematic review and meta-analysis.

    • Carlos Khalil, Sahar Zarabi, Kyle Kirkham, Vedish Soni, Qixuan Li, Ella Huszti, Azadeh Yadollahi, Babak Taati, Marina Englesakis, and Mandeep Singh.
    • University of Toronto, 27 King's College Cir, Toronto, ON M5S 1A1, Canada.
    • J Clin Anesth. 2023 Aug 1; 87: 111087111087.

    Study ObjectiveObstructive Sleep Apnea (OSA) is associated with increased perioperative cardiac, respiratory and neurological complications. Pre-operative OSA risk assessment is currently done through screening questionnaires with high sensitivity but poor specificity. The objective of this study was to evaluate the validity and diagnostic accuracy of portable, non-contact devices in the diagnosis of OSA as compared with polysomnography.DesignThis study is a systematic review of English observational cohort studies with meta-analysis and risk of bias assessment.SettingPre-operative, including in the hospital and clinic setting.PatientsAdult patients undergoing sleep apnea assessment using polysomnography and an experimental non-contact tool.InterventionsA novel non-contact device, which does not utilize any monitor that makes direct contact with the patient's body, in conjunction with polysomnography.MeasurementsPrimary outcomes included pooled sensitivity and specificity of the experimental device in the diagnosis of obstructive sleep apnea, in comparison to gold-standard polysomnography.ResultsTwenty-eight of 4929 screened studies were included in the meta-analysis. A total of 2653 patients were included with the majority being patients referred to a sleep clinic (88.8%). Average age was 49.7(SD±6.1) years, female sex (31%), average body mass index of 29.5(SD±3.2) kg/m2, average apnea-hypopnea index (AHI) of 24.7(SD±5.6) events/h, and pooled OSA prevalence of 72%. Non-contact technology used was mainly video, sound, or bio-motion analysis. Pooled sensitivity and specificity of non-contact methods in moderate to severe OSA diagnosis (AHI > 15) was 0.871 (95% CI 0.841,0.896, I2 0%) and 0.8 (95% CI 0.719,0.862), respectively (AUC 0.902). Risk of bias assessment showed an overall low risk of bias across all domains except for applicability concerns (none were conducted in the perioperative setting).ConclusionAvailable data indicate contactless methods have high pooled sensitivity and specificity for OSA diagnosis with moderate to high level of evidence. Future research is needed to evaluate these tools in the perioperative setting.Copyright © 2023. Published by Elsevier Inc.

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