Home sleep apnea testing: comparison of manual and automated scoring across international sleep centers
Autor: | Ning-Hung Chen, Diane C. Lim, Katherine A Wood, Peter A. Cistulli, Sergio Tufik, Ulysses J. Magalang, Erna S. Arnardottir, Jennica N Johns, Allan I. Pack, Thorarinn Gislason, Thomas Penzel, Lia Bittencourt, Jesse W Mindel |
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Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
Male
medicine.medical_specialty Home Nursing Polysomnography Monitoring Ambulatory Inductive plethysmography Article 03 medical and health sciences 0302 clinical medicine Sleep Apnea Syndromes stomatognathic system medicine Humans Diagnosis Computer-Assisted Sleep Apnea Obstructive business.industry Sleep apnea nutritional and metabolic diseases Nasal pressure medicine.disease nervous system diseases respiratory tract diseases 030228 respiratory system Otorhinolaryngology Data format Physical therapy Female Neurology (clinical) Sleep (system call) business 030217 neurology & neurosurgery |
Popis: | PURPOSE: To determine the agreement between the manual scoring of home sleep apnea tests (HSATs) by international sleep technologists and automated scoring systems. METHODS: Fifteen HSATs, previously recorded using a type 3 monitor, were saved in European Data Format. The studies were scored by nine experienced technologists from the sleep centers of the Sleep Apnea Global Interdisciplinary Consortium (SAGIC) using the locally available software. Each study was scored separately by human scorers using the nasal pressure (NP), flow derived from the NP signal (transformed NP), or respiratory inductive plethysmography (RIP) flow. The same procedure was followed using two automated scoring systems: Remlogic (RLG) and Noxturnal (NOX). RESULTS: The intra-class correlation coefficients (ICCs) of the apnea-hypopnea index (AHI) scoring using the NP, transformed NP, and RIP flow were 0.96 [95% CI 0.93–0.99], 0.98 [0.96–0.99], and 0.97 [0.95–0.99], respectively. Using the NP signal, the mean differences in AHI between the average of the manual scoring and the automated systems were – 0.9 ± 3.1/h (AHI(RLG) vs AHI(MANUAL)) and – 1.3 ± 2.6/h (AHI(NOX) vs AHI(MANUAL)). Using the transformed NP, the mean differences in AHI were – 1.9 ± 3.3/h (AHI(RLG) vs AHI(MANUAL)) and 1.6 ± 3.0/h (AHI(NOX) vs AHI(MANUAL)). Using the RIP flow, the mean differences in AHI were – 2.7 ± 4.5/h (AHI(RLG) vs AHI(MANUAL)) and 2.3 ± 3.4/h (AHI(NOX) VS AHI(MANUAL)). CONCLUSIONS: There is very strong agreement in the scoring of the AHI for HSATs between the automated systems and experienced international technologists. Automated scoring of HSATs using commercially available software may be useful to standardize scoring in future endeavors involving international sleep centers. |
Databáze: | OpenAIRE |
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