Literature DB >> 29749570

Validation of a photoplethysmography device for detection of obstructive sleep apnea in the perioperative setting.

Philipp Faßbender1, Ali Haddad2, Silja Bürgener2, Jürgen Peters2.   

Abstract

Obstructive sleep apnea (OSA) is a risk factor for perioperative complications, but many OSA patients present undiagnosed. While polysomnography (PSG) is the "gold standard" for diagnosis, its application is technology-intense, time-consuming, expensive, and requires specialists, often delaying surgery. Thus, miniaturized devices were developed for OSA screening aimed at ruling out major OSA while measuring a lesser number of biological signals. We evaluated the accuracy of a photoplethysmography (PPG)-based device for OSA detection. 48 patients with established or strongly suspected (STOP-Questionnaire) OSA scheduled for surgery underwent in their preoperative nights parallel recordings by PPG and a classic polygraphy (PG) devices (SomnoLab2®). We compared the diagnostic accuracy of the PPG in diagnosing mild [Apnea-/Hypopnea-Index (AHI) 5-14 events/h] and moderate-to-severe OSA (AHI > 15). PPG and PG-derived AHI correlated significantly (r = 0.85, p < 0.0001) and high area under curve (AUC) in receiver operator characteristics (ROC) values were seen for both AHI thresholds (0.93 and 0.95, respectively). For an AHI > 5, sensitivity was 100%, specificity 44%, positive predictive value (PPV) 62%, negative predictive value (NPV) 100%, likelihood ratio (LHR) 1.79, and Cohen κ was 0.43. For an AHI > 15, sensitivity was 92%, specificity 77%, PPV 60%, NPV 96%, LHR 4.04, and Cohen κ was 0.59. In a typical perioperative cohort of confirmed and suspected OSA patients, PPG reliably detected OSA patients while showing some false-positive results. Such devices are helpful for preoperative OSA screening.

Entities:  

Keywords:  Anesthesia; Perioperative safety; Photoplethysmography; Screening; Sleep apnea

Mesh:

Year:  2018        PMID: 29749570     DOI: 10.1007/s10877-018-0151-2

Source DB:  PubMed          Journal:  J Clin Monit Comput        ISSN: 1387-1307            Impact factor:   2.502


  4 in total

1.  Synchronized mandibular movement and capnography: a novel approach to obstructive airway detection during procedural sedation-a post hoc analysis of a prospective study.

Authors:  Nicolas Ponthieu; Sean Coeckelenbergh; Edgard Engelman; Turgay Tuna; Luc Van Obbergh; Luc Barvais
Journal:  J Clin Monit Comput       Date:  2019-01-04       Impact factor: 2.502

2.  Toward standardizing the clinical testing protocols of point-of-care devices for obstructive sleep apnea diagnosis.

Authors:  Vivek Tangudu; Kahkashan Afrin; Sandy Reddy; Nicolaas E P Deutz; Steven Woltering; Satish T S Bukkapatnam
Journal:  Sleep Breath       Date:  2020-08-31       Impact factor: 2.816

Review 3.  Journal of Clinical Monitoring and Computing 2018-2019 end of year summary: respiration.

Authors:  D S Karbing; G Perchiazzi; S E Rees; M B Jaffe
Journal:  J Clin Monit Comput       Date:  2020-01-24       Impact factor: 2.502

4.  A Single-Center Validation of the Accuracy of a Photoplethysmography-Based Smartwatch for Screening Obstructive Sleep Apnea.

Authors:  Yibing Chen; Weifang Wang; Yutao Guo; Hui Zhang; Yundai Chen; Lixin Xie
Journal:  Nat Sci Sleep       Date:  2021-09-16
  4 in total

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