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Clinical utility of a type 4 portable device for in-home screening of sleep disordered breathing. | LitMetric

Clinical utility of a type 4 portable device for in-home screening of sleep disordered breathing.

Ann Palliat Med

Department of Sleep Respiratory Medicine, Toranomon Hospital, Tokyo, Japan; Cardiovascular Respiratory Sleep Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan; Sleep and Sleep Disordered Breathing Center, Juntendo University Hospital, Tokyo, Japan; Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.

Published: September 2020

AI Article Synopsis

  • Portable monitoring devices for in-home screening of sleep disordered breathing (SDB) can enhance accessibility and reduce costs, but many lack rigorous validation, necessitating further research.
  • The study analyzed 387 participants, comparing apnea-hypopnea index (AHI) from home sleep apnea tests (HSAT) with in-laboratory polysomnography results, finding significant correlation and reliable sensitivity and specificity for detecting varying severity of SDB.
  • The findings suggest that type 4 HSAT could be a promising tool for screening SDB, indicating sufficient clinical utility for potential widespread use.

Article Abstract

Background: Portable monitoring devices have been developed for in-home screening and to aid in the diagnosis of sleep disordered breathing (SDB) while increasing accessibility and reducing costs. Although there are many different devices available in the market, most have not undergone rigorous validation. Therefore, although such devices are promising, more research on their clinical utility is necessary. The purpose of this study was to assess the clinical utility of a type 4 home sleep apnea test (HSAT) as an in-home screening for SDB.

Methods: We investigated consecutive subjects who underwent in-laboratory overnight polysomnography following in-home screening using HSAT. We evaluated the correlation between apnea-hypopnea index (AHI) by in-laboratory overnight polysomnography and by HSAT and evaluated the sensitivity and specificity for AHI ≥5 and AHI ≥30 by the receiver operating characteristic (ROC) analysis.

Results: Finally, data of 387 participants (86.8% men, mean age 55.3±13.3 years and body mass index 25.1±4.1 kg/m2) were assessed. In all patients, AHI by HSAT correlated significantly with AHI by polysomnography (r=0.670, P<0.001). The area under curves of ROC for AHI ≥5 and AHI ≥30 were 0.854±0.029 and 0.841±0.022, respectively. The best cut-off of AHI by HSAT for detecting AHI by polysomnography ≥5 was 10.3 events/h (sensitivity, 82.8%; and specificity, 76.0%), and AHI by HSAT for detecting AHI by polysomnography ≥30 was 24.5 events/h (sensitivity, 75.8%; and specificity, 80.4%).

Conclusions: This type 4 HSAT may have potential as a screening tool for SDB and thus have sufficient clinical utility.

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Source
http://dx.doi.org/10.21037/apm-20-384DOI Listing

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