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High-Throughput, Contact-Free Detection of Atrial Fibrillation From Video With Deep Learning.基于深度学习的高通量、非接触式视频心房颤动检测。
JAMA Cardiol. 2020 Jan 1;5(1):105-107. doi: 10.1001/jamacardio.2019.4004.
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Parsing the craniofacial phenotype: effect of weight change in an obstructive sleep apnoea population.解析颅面表型:阻塞性睡眠呼吸暂停人群体重变化的影响。
Sleep Breath. 2019 Dec;23(4):1291-1298. doi: 10.1007/s11325-019-01826-2. Epub 2019 Mar 29.
4
Predicting Severe Sleep Apnea in Patients with Complaints: Pulse Oximetry and Body Mass Index.有主诉患者严重睡眠呼吸暂停的预测:脉搏血氧饱和度测定法和体重指数
Turk Arch Otorhinolaryngol. 2018 Sep;56(3):149-154. doi: 10.5152/tao.2018.2928. Epub 2018 Sep 1.
5
Craniofacial Phenotyping in Chinese and Caucasian Patients With Sleep Apnea: Influence of Ethnicity and Sex.颅面表型在睡眠呼吸暂停的中国和高加索患者中的表现:种族和性别的影响。
J Clin Sleep Med. 2018 Jul 15;14(7):1143-1151. doi: 10.5664/jcsm.7212.
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Respirology. 2018 Jun;23(6):560-561. doi: 10.1111/resp.13284. Epub 2018 Mar 6.
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8
Diagnostic performance of cheeks appearance in sleep apnea.睡眠呼吸暂停中脸颊外观的诊断效能
Cranio. 2018 Jul;36(4):214-221. doi: 10.1080/08869634.2017.1376426. Epub 2017 Sep 21.
9
Recommendations for elaboration, transcultural adaptation and validation process of tests in Speech, Hearing and Language Pathology.言语、听力和语言病理学测试的制定、跨文化调适及验证过程的建议
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Facial phenotype in obstructive sleep apnea-hypopnea syndrome: a systematic review and meta-analysis.阻塞性睡眠呼吸暂停低通气综合征的面部表型:一项系统评价和荟萃分析。
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颊部外观作为阻塞性睡眠呼吸暂停的新预测指标:CASA 评分研究。

Cheeks appearance as a novel predictor of obstructive sleep apnea: the CASA score study.

机构信息

Cardiology Department, Hospital de Clínicas de Porto Alegre, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre (RS), Brazil.

School of Dentistry, Federal University of Rio Grande do Sul, Porto Alegre (RS), Brazil.

出版信息

J Clin Sleep Med. 2024 Jun 1;20(6):879-885. doi: 10.5664/jcsm.11022.

DOI:10.5664/jcsm.11022
PMID:38217481
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11145034/
Abstract

STUDY OBJECTIVES

Four well-established predictors of obstructive sleep apnea (OSA) risk are body mass index, age, sex, and neck circumference. We have previously reported cheeks appearance as an OSA predictor, which may represent a combination of such predictors in a single, readily available feature. This study sought to answer the question: Is cheeks appearance an OSA risk predictor?

METHODS

This was a prospective cross-sectional diagnostic accuracy study based on STARD (standards for reporting diagnostic accuracy studies). Patients undergoing polysomnography to investigate sleep complaints at a sleep clinic affiliated with a university hospital were assessed using cheeks appearance scored 0-3 for volume and 0-3 for flaccidity to create the Cheeks Appearance for Sleep Apnea (CASA) score ranging from 0 to 6. Appearance was judged by 3 blinded and independent evaluators.

RESULTS

Among 265 patients evaluated, 248 were included. Fifty-seven patients had a CASA score of 0 and 191 had a CASA score between 1 and 6. Polysomnography diagnosed 177 of the individuals with OSA; of these, 167 had an altered CASA score. Sensitivity was 87%, specificity was 82%, positive-predictive value was 94%, negative-predictive value was 66%, and accuracy was 86%.

CONCLUSIONS

Our results suggest that combining volume and flaccidity of cheeks appearance in a single index may constitute a reliable OSA predictor. CASA score is a novel predictor of OSA with internal validity in a sleep laboratory adult population. Our findings support further studies to confirm the external validity of this practical diagnostic tool.

CLINICAL TRIAL REGISTRATION

Registry: ClinicalTrials.gov; Name: Cheeks Appearance as a Novel Predictor of Obstructive Sleep Apnea: The CASA Score Study (CASA); URL: https://clinicaltrials.gov/study/NCT04980586; Identifier: NCT04980586.

CITATION

Prikladnicki A, Gomes E, Sousa LCCR, Gonçalves SC, Martinez D. Cheeks appearance as a novel predictor of obstructive sleep apnea: the CASA score study. . 2024;20(6):879-885.

摘要

研究目的

阻塞性睡眠呼吸暂停(OSA)风险的四个公认预测因素是体重指数、年龄、性别和颈围。我们之前曾报道过脸颊外观是 OSA 的预测因素,这可能代表了单一、易于获得的特征中这些预测因素的组合。本研究旨在回答以下问题:脸颊外观是否是 OSA 的风险预测因素?

方法

这是一项基于 STARD(诊断准确性研究报告标准)的前瞻性横断面诊断准确性研究。在一家大学附属医院的睡眠诊所进行多导睡眠图检查以调查睡眠投诉的患者,使用脸颊外观评分 0-3 分评估体积和 0-3 分评估松弛度,以创建 CASA 评分(范围 0-6 分)。外观由 3 名盲法和独立评估者判断。

结果

在评估的 265 名患者中,248 名患者纳入研究。57 名患者的 CASA 评分为 0,191 名患者的 CASA 评分为 1-6。多导睡眠图诊断出 177 名患者患有 OSA;其中 167 名患者的 CASA 评分发生改变。敏感性为 87%,特异性为 82%,阳性预测值为 94%,阴性预测值为 66%,准确性为 86%。

结论

我们的结果表明,将脸颊外观的体积和松弛度结合在一个单一的指数中可能构成一个可靠的 OSA 预测因素。CASA 评分是一种新的 OSA 预测指标,在睡眠实验室成人人群中具有内部有效性。我们的研究结果支持进一步研究以确认这种实用诊断工具的外部有效性。

临床试验注册

注册处:ClinicalTrials.gov;名称:脸颊外观作为阻塞性睡眠呼吸暂停的新型预测指标:CASA 评分研究(CASA);网址:https://clinicaltrials.gov/study/NCT04980586;标识符:NCT04980586。

参考文献

Prikladnicki A, Gomes E, Sousa LCCR, Gonçalves SC, Martinez D. Cheeks appearance as a novel predictor of obstructive sleep apnea: the CASA score study.. 2024;20(6):879-885.