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O071 The performance accuracy of wrist-worn oximetry and its automated output parameters for screening obstructive sleep apnoea in children
INTRODUCTION: Children with obstructive sleep apnea (OSA) are at increased risk for perioperative adverse events. Whilst polysomnography (PSG) remains the reference standard for OSA diagnosis, oximetry is a valuable screening tool; visual analysis of desaturation clusters derived from a tabletop oxi...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10109385/ http://dx.doi.org/10.1093/sleepadvances/zpac029.070 |
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author | Ohn, M Maddison, K Evans, D Nguyen, J Bear, N Khan, N Eastwood, P von Ungern-Sternberg, B S Wilson, A Walsh, J |
author_facet | Ohn, M Maddison, K Evans, D Nguyen, J Bear, N Khan, N Eastwood, P von Ungern-Sternberg, B S Wilson, A Walsh, J |
author_sort | Ohn, M |
collection | PubMed |
description | INTRODUCTION: Children with obstructive sleep apnea (OSA) are at increased risk for perioperative adverse events. Whilst polysomnography (PSG) remains the reference standard for OSA diagnosis, oximetry is a valuable screening tool; visual analysis of desaturation clusters derived from a tabletop oximeter is the traditional practice. However, wearable oximetry with automated analysis could be an alternative option. This study investigated the accuracy of a wrist-worn oximeter as an OSA screening tool for a paediatric surgical population. METHOD: Children scheduled for adenotonsillectomy without significant co-morbidities underwent concurrent overnight PSG and oximetry (Nonin WristOx2 3150) preoperatively. To determine the obstructive apnea-hypopnea index (OAHI), PSG was scored manually, and oximetry data were auto-analysed by Nonin proprietary software to determine the 3% oxygen desaturation index (oximetric ODI3). Logistic regression assessed the predictive performance of ODI3 and covariates (age, gender, BMI z-score) for detecting any OSA and moderate-severe OSA. RESULTS: Seventy-six children (34 females, aged (mean±SD) 5.7±1.6years) were classified based on PSG-derived OAHI as having no OSA (n=31), mild (n=31), and moderate-severe OSA (n=14). The moderate-severe OSA (OAHI≥5 events/hr) prediction analysis showed that oximetric ODI3 (OR 1.38, 95% CI 1.15, 1.65, p=0.001) was the sole OSA predictor. At a cut-off of ODI3=5events/hr, sensitivity and specificity were 78.6% and 75.8%, respectively, capturing all severe OSA cases (ROC-AUC=0.857). For any OSA (OAHI≥ 1 event/hr), prediction analysis showed reduced accuracy in performance: 75.6% sensitivity, 61.3% specificity (ROC-AUC=0.7097). CONCLUSION: Wrist-worn oximetry-derived automated ODI3 can reliably identify moderate-severe OSA. Easy acquisition and interpretation may expedite the preoperative identification of OSA at-risk children. |
format | Online Article Text |
id | pubmed-10109385 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-101093852023-05-15 O071 The performance accuracy of wrist-worn oximetry and its automated output parameters for screening obstructive sleep apnoea in children Ohn, M Maddison, K Evans, D Nguyen, J Bear, N Khan, N Eastwood, P von Ungern-Sternberg, B S Wilson, A Walsh, J Sleep Adv ORAL PRESENTATIONS INTRODUCTION: Children with obstructive sleep apnea (OSA) are at increased risk for perioperative adverse events. Whilst polysomnography (PSG) remains the reference standard for OSA diagnosis, oximetry is a valuable screening tool; visual analysis of desaturation clusters derived from a tabletop oximeter is the traditional practice. However, wearable oximetry with automated analysis could be an alternative option. This study investigated the accuracy of a wrist-worn oximeter as an OSA screening tool for a paediatric surgical population. METHOD: Children scheduled for adenotonsillectomy without significant co-morbidities underwent concurrent overnight PSG and oximetry (Nonin WristOx2 3150) preoperatively. To determine the obstructive apnea-hypopnea index (OAHI), PSG was scored manually, and oximetry data were auto-analysed by Nonin proprietary software to determine the 3% oxygen desaturation index (oximetric ODI3). Logistic regression assessed the predictive performance of ODI3 and covariates (age, gender, BMI z-score) for detecting any OSA and moderate-severe OSA. RESULTS: Seventy-six children (34 females, aged (mean±SD) 5.7±1.6years) were classified based on PSG-derived OAHI as having no OSA (n=31), mild (n=31), and moderate-severe OSA (n=14). The moderate-severe OSA (OAHI≥5 events/hr) prediction analysis showed that oximetric ODI3 (OR 1.38, 95% CI 1.15, 1.65, p=0.001) was the sole OSA predictor. At a cut-off of ODI3=5events/hr, sensitivity and specificity were 78.6% and 75.8%, respectively, capturing all severe OSA cases (ROC-AUC=0.857). For any OSA (OAHI≥ 1 event/hr), prediction analysis showed reduced accuracy in performance: 75.6% sensitivity, 61.3% specificity (ROC-AUC=0.7097). CONCLUSION: Wrist-worn oximetry-derived automated ODI3 can reliably identify moderate-severe OSA. Easy acquisition and interpretation may expedite the preoperative identification of OSA at-risk children. Oxford University Press 2022-11-09 /pmc/articles/PMC10109385/ http://dx.doi.org/10.1093/sleepadvances/zpac029.070 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Sleep Research Society. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | ORAL PRESENTATIONS Ohn, M Maddison, K Evans, D Nguyen, J Bear, N Khan, N Eastwood, P von Ungern-Sternberg, B S Wilson, A Walsh, J O071 The performance accuracy of wrist-worn oximetry and its automated output parameters for screening obstructive sleep apnoea in children |
title | O071 The performance accuracy of wrist-worn oximetry and its automated output parameters for screening obstructive sleep apnoea in children |
title_full | O071 The performance accuracy of wrist-worn oximetry and its automated output parameters for screening obstructive sleep apnoea in children |
title_fullStr | O071 The performance accuracy of wrist-worn oximetry and its automated output parameters for screening obstructive sleep apnoea in children |
title_full_unstemmed | O071 The performance accuracy of wrist-worn oximetry and its automated output parameters for screening obstructive sleep apnoea in children |
title_short | O071 The performance accuracy of wrist-worn oximetry and its automated output parameters for screening obstructive sleep apnoea in children |
title_sort | o071 the performance accuracy of wrist-worn oximetry and its automated output parameters for screening obstructive sleep apnoea in children |
topic | ORAL PRESENTATIONS |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10109385/ http://dx.doi.org/10.1093/sleepadvances/zpac029.070 |
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