A Retrospective Study on Obstructive Sleep Apnea

被引:0
作者
Joao, Ricardo Sao [1 ,2 ]
Cardoso, Andreia [3 ]
Domingues, Tiago Dias [1 ,2 ]
Fradinho, Marta [3 ]
Silva, Vania [3 ]
Feliciano, Amelia [4 ,5 ]
机构
[1] Polytech Inst Santarem, Complexo Andaluz,Ap 295, P-2001904 Santarem, Portugal
[2] Univ Lisbon, Fac Ciencias, CEAUL, Lisbon, Portugal
[3] Hosp Luz Setubal, Setubal, Portugal
[4] Lusiadas Cluster Clin, Loures, Portugal
[5] Trofa Saude Loures Amadora, Loures, Portugal
来源
RECENT DEVELOPMENTS IN STATISTICS AND DATA SCIENCE, SPE2021 | 2022年 / 398卷
关键词
Automatic reading; Association measures; Concordance measures; Manual reading; OSA; CONCORDANCE CORRELATION-COEFFICIENT; DIAGNOSIS; DEVICE;
D O I
10.1007/978-3-031-12766-3_19
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Obstructive sleep apnea (OSA) is a sleep-related breathing disorder with worldwide increasing prevalence. Polysomnography is the traditional gold standard for the diagnosis of OSA, but the fact that it is a complex, time-consuming, and expensive test contributes to the underdiagnosis of this pathology. For this reason, one usually opts for the simpler, less labor-intensive, and cheaper cardiorespiratory sleep test for the diagnosis of this syndrome. The manual analysis of these tests, which usually involves two ormore qualified observers, is one of the aspects that most contributes to the amount of time spent in the analysis and, consequently, to diagnostic delay. Automatic analysis emerges as a faster alternative to the manual analysis. Based on a sample of 2559 patients monitored by the Pulmonology DepartmentSleep Unit of the Hospital da Luz Setubal during the period 2011-2019, this research concludes that there is no agreement between the manual and automatic readings of two popular OSA classification indexes.
引用
收藏
页码:281 / 292
页数:12
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