Performance of Four Screening Tools for Identifying Obstructive Sleep Apnea Among Patients with Insomnia

Chuan Shi,* Yuxin Wang,* Jinmei Luo, Rong Huang, Yi Xiao Department of Pulmonary and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Science (CAMS) and Peking Union Medical College (PUMC), Beijing, 100730, People’s Republic of China*These authors contributed equally to this workCorrespondence: Jinmei Luo, Department of Pulmonary and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Science (CAMS) and Peking Union Medical College (PUMC), Beijing, 100730, People’s Republic of China, Email [email protected]: Co-morbid insomnia and sleep apnea are common in clinical practice. The existing OSA screening tools have not been fully validated in insomnia populations, and items measuring daytime function may be interfered with the presence of insomnia. This study aims to validate the performance of four commonly used OSA screening tools among individuals with and without insomnia.Participants and Methods: A cross-sectional survey was conducted in individuals with suspected OSA referred for sleep studies from December 2021 to December 2023. All participants completed the Insomnia Severity Index (ISI) scale, STOP-Bang, Epworth Sleepiness Scale (ESS), Berlin questionnaire, and NoSAS score. Clinical insomnia was defined as an ISI of 15 or more. Performance of screening tools was primarily assessed by sensitivity, specificity, and the receiver operating characteristic (ROC) curve.Results: A total of 1266 participants (26% females, age 46.4 ± 12.4 years) were included in the study. The prevalence of apnea-hypopnea index (AHI) ≥ 15/h was 48% and 52% in the insomnia (n=313) and non-insomnia (n=953) group, respectively (P> 0.05). In presence of insomnia, the STOP-Bang, ESS, and Berlin questionnaire demonstrated higher sensitivity but lower specificity. Using conventional cutoffs, the STOP-Bang had the highest level of sensitivity (93.2%, 95% CI 87.6– 96.5%), while NoSAS had the highest level of specificity (67.7%, 95% CI 59.9– 74.6%) for identifying AHI ≥ 15/h. The STOP-Bang and NoSAS outperformed ESS and Berlin with areas under the ROC curve > 0.7 at all levels of OSA severity. The Youden’s index was maximized at score 4 for STOP-Bang and score 7 for NoSAS.Conclusion: The performance of OSA screening tools incorporating evaluation of daytime function is altered in the presence of insomnia. Under conventional cutoffs, STOP-Bang is the preferred screening tool due to its high sensitivity.Keywords: obstructive sleep apnea, insomnia, screening instruments, polysomnography

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-03-01
Primary Topic
Plasma Diagnostics and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Performance of Four Screening Tools for Identifying Obstructive Sleep Apnea Among Patients with Insomnia

SHILAP Revista de lepidopterología
Plasma Diagnostics and Applications
article

Performance of Four Screening Tools for Identifying Obstructive Sleep Apnea Among Patients with Insomnia

article en

Abstract

Chuan Shi,* Yuxin Wang,* Jinmei Luo, Rong Huang, Yi Xiao Department of Pulmonary and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Science (CAMS) and Peking Union Medical College (PUMC), Beijing, 100730, People’s Republic of China*These authors contributed equally to this workCorrespondence: Jinmei Luo, Department of Pulmonary and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Science (CAMS) and Peking Union Medical College (PUMC), Beijing, 100730, People’s Republic of China, Email [email protected]: Co-morbid insomnia and sleep apnea are common in clinical practice. The existing OSA screening tools have not been fully validated in insomnia populations, and items measuring daytime function may be interfered with the presence of insomnia. This study aims to validate the performance of four commonly used OSA screening tools among individuals with and without insomnia.Participants and Methods: A cross-sectional survey was conducted in individuals with suspected OSA referred for sleep studies from December 2021 to December 2023. All participants completed the Insomnia Severity Index (ISI) scale, STOP-Bang, Epworth Sleepiness Scale (ESS), Berlin questionnaire, and NoSAS score. Clinical insomnia was defined as an ISI of 15 or more. Performance of screening tools was primarily assessed by sensitivity, specificity, and the receiver operating characteristic (ROC) curve.Results: A total of 1266 participants (26% females, age 46.4 ± 12.4 years) were included in the study. The prevalence of apnea-hypopnea index (AHI) ≥ 15/h was 48% and 52% in the insomnia (n=313) and non-insomnia (n=953) group, respectively (P> 0.05). In presence of insomnia, the STOP-Bang, ESS, and Berlin questionnaire demonstrated higher sensitivity but lower specificity. Using conventional cutoffs, the STOP-Bang had the highest level of sensitivity (93.2%, 95% CI 87.6– 96.5%), while NoSAS had the highest level of specificity (67.7%, 95% CI 59.9– 74.6%) for identifying AHI ≥ 15/h. The STOP-Bang and NoSAS outperformed ESS and Berlin with areas under the ROC curve > 0.7 at all levels of OSA severity. The Youden’s index was maximized at score 4 for STOP-Bang and score 7 for NoSAS.Conclusion: The performance of OSA screening tools incorporating evaluation of daytime function is altered in the presence of insomnia. Under conventional cutoffs, STOP-Bang is the preferred screening tool due to its high sensitivity.Keywords: obstructive sleep apnea, insomnia, screening instruments, polysomnography

SHILAP Revista de lepidopterología
Good health and well-being
Openalex Percentile: Top 52%
Plasma Diagnostics and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.