STOP-Bang评分与加拿大萨斯喀彻温省第一民族社区阻塞性睡眠呼吸暂停严重程度的预测。

IF 2.1 Q3 CLINICAL NEUROLOGY Clocks & Sleep Pub Date : 2022-10-12 DOI:10.3390/clockssleep4040042
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
{"title":"STOP-Bang评分与加拿大萨斯喀彻温省第一民族社区阻塞性睡眠呼吸暂停严重程度的预测。","authors":"James A Dosman,&nbsp;Chandima P Karunanayake,&nbsp;Mark Fenton,&nbsp;Vivian R Ramsden,&nbsp;Jeremy Seeseequasis,&nbsp;Delano Mike,&nbsp;Warren Seesequasis,&nbsp;Marie Neubuhr,&nbsp;Robert Skomro,&nbsp;Shelley Kirychuk,&nbsp;Donna C Rennie,&nbsp;Kathleen McMullin,&nbsp;Brooke P Russell,&nbsp;Niels Koehncke,&nbsp;Sylvia Abonyi,&nbsp;Malcolm King,&nbsp;Punam Pahwa","doi":"10.3390/clockssleep4040042","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":33568,"journal":{"name":"Clocks & Sleep","volume":null,"pages":null},"PeriodicalIF":2.1000,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9624327/pdf/","citationCount":"2","resultStr":"{\"title\":\"STOP-Bang Score and Prediction of Severity of Obstructive Sleep Apnea in a First Nation Community in Saskatchewan, Canada.\",\"authors\":\"James A Dosman,&nbsp;Chandima P Karunanayake,&nbsp;Mark Fenton,&nbsp;Vivian R Ramsden,&nbsp;Jeremy Seeseequasis,&nbsp;Delano Mike,&nbsp;Warren Seesequasis,&nbsp;Marie Neubuhr,&nbsp;Robert Skomro,&nbsp;Shelley Kirychuk,&nbsp;Donna C Rennie,&nbsp;Kathleen McMullin,&nbsp;Brooke P Russell,&nbsp;Niels Koehncke,&nbsp;Sylvia Abonyi,&nbsp;Malcolm King,&nbsp;Punam Pahwa\",\"doi\":\"10.3390/clockssleep4040042\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":33568,\"journal\":{\"name\":\"Clocks & Sleep\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2022-10-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9624327/pdf/\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clocks & Sleep\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3390/clockssleep4040042\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clocks & Sleep","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/clockssleep4040042","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 2

摘要

STOP-Bang问卷是一种易于管理的评分模型,用于筛选和识别阻塞性睡眠呼吸暂停(OSA)高风险患者。然而,它的诊断效用从未在原住民身上进行过测试。目的是确定预测参数和STOP-Bang问卷作为OSA筛查工具在萨斯喀彻温省第一民族社区的效用。第一民族睡眠健康项目(FNSHP)的基线调查于2018年至2019年完成。在233项睡眠呼吸暂停测试中,215名参与者完成了STOP-Bang评分问卷。使用STOP-Bang总分作为自变量,对每个应答给予同等权重,进行比例odds序数logistic回归分析。计算并绘制呼吸暂停低通气指数(AHI)分值的预测概率。为了评估STOP-Bang问卷的性能,我们计算了敏感性、特异性、阳性预测值(PPVs)、阴性预测值(npv)和曲线下面积(AUC)。这些数据表明,STOP-Bang评分≥5将使医疗保健专业人员能够以高特异性(93.7%)和NPV(91.8%)识别中重度OSA概率增加的个体。对于STOP-Bang评分临界值≥3,所有OSA的敏感性为53.1%,中重度OSA的敏感性为72.0%。对于STOP-Bang评分截止值≥3,所有OSA的特异性为68.4%,中重度OSA的特异性为62.6%。在这个人群中,STOP-Bang评分略微优于大声打鼾的症状,或者大声打鼾加肥胖的症状。性别分析表明,STOP-Bang评分≥5能够识别出中度至重度OSA的个体,对于男性来说,诊断测试的准确性可以接受,但对于女性没有诊断测试的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

摘要图片

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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 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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Clocks & Sleep
Clocks & Sleep Multiple-
CiteScore
4.40
自引率
0.00%
发文量
0
审稿时长
7 weeks
期刊最新文献
Disrupted Circadian Rhythms and Substance Use Disorders: A Narrative Review. Violet Light Effects on the Circadian Rest-Activity Rhythm and the Visual System. Effectiveness of Enriched Milk with Ashwagandha Extract and Tryptophan for Improving Subjective Sleep Quality in Adults with Sleep Problems: A Randomized Double-Blind Controlled Trial. The Impact of Lunch Timing on Nap Quality. Generative Models for Periodicity Detection in Noisy Signals.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1