STOP-Bang Score and Prediction of Severity of Obstructive Sleep Apnea in a First Nation Community in Saskatchewan, Canada

The STOP-Bang questionnaire is an easy-to-administer scoring model to screen and identify patients at high risk of obstructive sleep apnea (OSA). However, its diagnostic utility has never been tested with First Nation peoples. The objective was to determine the predictive parameters and the utility...

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Published in:Clocks & Sleep
Main Authors: James A. Dosman, Chandima P. Karunanayake, Mark Fenton, Vivian R. Ramsden, Jeremy Seeseequasis, Delano Mike, Warren Seesequasis, Marie Neubuhr, Robert Skomro, Shelley Kirychuk, Donna C. Rennie, Kathleen McMullin, Brooke P. Russell, Niels Koehncke, Sylvia Abonyi, Malcolm King, Punam Pahwa
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2022
Subjects:
Online Access:https://doi.org/10.3390/clockssleep4040042
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author James A. Dosman
Chandima P. Karunanayake
Mark Fenton
Vivian R. Ramsden
Jeremy Seeseequasis
Delano Mike
Warren Seesequasis
Marie Neubuhr
Robert Skomro
Shelley Kirychuk
Donna C. Rennie
Kathleen McMullin
Brooke P. Russell
Niels Koehncke
Sylvia Abonyi
Malcolm King
Punam Pahwa
author_facet James A. Dosman
Chandima P. Karunanayake
Mark Fenton
Vivian R. Ramsden
Jeremy Seeseequasis
Delano Mike
Warren Seesequasis
Marie Neubuhr
Robert Skomro
Shelley Kirychuk
Donna C. Rennie
Kathleen McMullin
Brooke P. Russell
Niels Koehncke
Sylvia Abonyi
Malcolm King
Punam Pahwa
author_sort James A. Dosman
collection MDPI Open Access Publishing
container_issue 4
container_start_page 535
container_title Clocks & Sleep
container_volume 4
description The STOP-Bang questionnaire is an easy-to-administer scoring model to screen and identify patients at high risk of obstructive sleep apnea (OSA). However, its diagnostic utility has never been tested with First Nation peoples. The objective was to determine the predictive parameters and the utility of the STOP-Bang questionnaire as an OSA screening tool in a First Nation community in Saskatchewan. The baseline survey of the First Nations Sleep Health Project (FNSHP) was completed between 2018 and 2019. Of the available 233 sleep apnea tests, 215 participants completed the STOP-Bang score questionnaire. A proportional odds ordinal logistic regression analysis was conducted using the total score of the STOP-Bang as the independent variable with equal weight given to each response. Predicted probabilities for each score at cut-off points of the Apnea Hypopnea Index (AHI) were calculated and plotted. To assess the performance of the STOP-Bang questionnaire, sensitivity, specificity, positive predictive values (PPVs), negative predictive values (NPVs), and area under the curve (AUC) were calculated. These data suggest that a STOP-Bang score ≥ 5 will allow healthcare professionals to identify individuals with an increased probability of moderate-to-severe OSA, with high specificity (93.7%) and NPV (91.8%). For the STOP-Bang score cut-off ≥ 3, the sensitivity was 53.1% for all OSA and 72.0% for moderate-to-severe OSA. For the STOP-Bang score cut-off ≥ 3, the specificity was 68.4% for all OSA and 62.6% for moderate-to-severe OSA. The STOP-Bang score was modestly superior to the symptom of loud snoring, or loud snoring plus obesity in this population. Analysis by sex suggested that a STOP-Bang score ≥ 5 was able to identify individuals with increased probability of moderate-to-severe OSA, for males with acceptable diagnostic test accuracy for detecting participants with OSA, but there was no diagnostic test accuracy for females.
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spelling ftmdpi:oai:mdpi.com:/2624-5175/4/4/42/ 2025-01-16T21:55:41+00:00 STOP-Bang Score and Prediction of Severity of Obstructive Sleep Apnea in a First Nation Community in Saskatchewan, Canada James A. Dosman Chandima P. Karunanayake Mark Fenton Vivian R. Ramsden Jeremy Seeseequasis Delano Mike Warren Seesequasis Marie Neubuhr Robert Skomro Shelley Kirychuk Donna C. Rennie Kathleen McMullin Brooke P. Russell Niels Koehncke Sylvia Abonyi Malcolm King Punam Pahwa 2022-10-12 application/pdf https://doi.org/10.3390/clockssleep4040042 EN eng Multidisciplinary Digital Publishing Institute Society https://dx.doi.org/10.3390/clockssleep4040042 https://creativecommons.org/licenses/by/4.0/ Clocks & Sleep; Volume 4; Issue 4; Pages: 535-548 STOP-Bang score obstructive sleep apnea First Nations obesity snoring Text 2022 ftmdpi https://doi.org/10.3390/clockssleep4040042 2023-08-01T06:50:55Z The STOP-Bang questionnaire is an easy-to-administer scoring model to screen and identify patients at high risk of obstructive sleep apnea (OSA). However, its diagnostic utility has never been tested with First Nation peoples. The objective was to determine the predictive parameters and the utility of the STOP-Bang questionnaire as an OSA screening tool in a First Nation community in Saskatchewan. The baseline survey of the First Nations Sleep Health Project (FNSHP) was completed between 2018 and 2019. Of the available 233 sleep apnea tests, 215 participants completed the STOP-Bang score questionnaire. A proportional odds ordinal logistic regression analysis was conducted using the total score of the STOP-Bang as the independent variable with equal weight given to each response. Predicted probabilities for each score at cut-off points of the Apnea Hypopnea Index (AHI) were calculated and plotted. To assess the performance of the STOP-Bang questionnaire, sensitivity, specificity, positive predictive values (PPVs), negative predictive values (NPVs), and area under the curve (AUC) were calculated. These data suggest that a STOP-Bang score ≥ 5 will allow healthcare professionals to identify individuals with an increased probability of moderate-to-severe OSA, with high specificity (93.7%) and NPV (91.8%). For the STOP-Bang score cut-off ≥ 3, the sensitivity was 53.1% for all OSA and 72.0% for moderate-to-severe OSA. For the STOP-Bang score cut-off ≥ 3, the specificity was 68.4% for all OSA and 62.6% for moderate-to-severe OSA. The STOP-Bang score was modestly superior to the symptom of loud snoring, or loud snoring plus obesity in this population. Analysis by sex suggested that a STOP-Bang score ≥ 5 was able to identify individuals with increased probability of moderate-to-severe OSA, for males with acceptable diagnostic test accuracy for detecting participants with OSA, but there was no diagnostic test accuracy for females. Text First Nations MDPI Open Access Publishing Canada Clocks & Sleep 4 4 535 548
spellingShingle STOP-Bang score
obstructive sleep apnea
First Nations
obesity
snoring
James A. Dosman
Chandima P. Karunanayake
Mark Fenton
Vivian R. Ramsden
Jeremy Seeseequasis
Delano Mike
Warren Seesequasis
Marie Neubuhr
Robert Skomro
Shelley Kirychuk
Donna C. Rennie
Kathleen McMullin
Brooke P. Russell
Niels Koehncke
Sylvia Abonyi
Malcolm King
Punam Pahwa
STOP-Bang Score and Prediction of Severity of Obstructive Sleep Apnea in a First Nation Community in Saskatchewan, Canada
title STOP-Bang Score and Prediction of Severity of Obstructive Sleep Apnea in a First Nation Community in Saskatchewan, Canada
title_full STOP-Bang Score and Prediction of Severity of Obstructive Sleep Apnea in a First Nation Community in Saskatchewan, Canada
title_fullStr STOP-Bang Score and Prediction of Severity of Obstructive Sleep Apnea in a First Nation Community in Saskatchewan, Canada
title_full_unstemmed STOP-Bang Score and Prediction of Severity of Obstructive Sleep Apnea in a First Nation Community in Saskatchewan, Canada
title_short STOP-Bang Score and Prediction of Severity of Obstructive Sleep Apnea in a First Nation Community in Saskatchewan, Canada
title_sort stop-bang score and prediction of severity of obstructive sleep apnea in a first nation community in saskatchewan, canada
topic STOP-Bang score
obstructive sleep apnea
First Nations
obesity
snoring
topic_facet STOP-Bang score
obstructive sleep apnea
First Nations
obesity
snoring
url https://doi.org/10.3390/clockssleep4040042