Purpose: The NoSAS score was developed to identify subjects at high risk of sleep-disordered breathing (SDB). We aimed to validate the NoSAS score in a multiethnic Asian cohort and compare its performance to the STOP-Bang and Berlin questionnaires.
Methods: A sample of 242 subjects selected from a population-based cohort in Singapore completed home-based sleep testing with an Embletta device (type 3 monitor). All subjects were given the STOP-Bang and Berlin questionnaires for self-administration prior to the sleep study. The NoSAS score was subsequently calculated based on available demographic data and Berlin questionnaire responses.
Results: The prevalence of severe SDB, defined as an apnea-hypopnea index cutoff of ≥30 events/h, was 10.7%. The number of subjects who were classified as high risk by the NoSAS score and STOP-Bang and Berlin questionnaires were 76 (31.4%), 89 (36.8%), and 79 (32.6%), respectively. The sensitivity, specificity, and negative and positive predictive values of the NoSAS score to predict severe SDB were 69.2, 73.1, 95.2, and 23.7%, respectively. The STOP-Bang and Berlin questionnaires performed similarly to the NoSAS score, with area under the curve (AUC) values of all three questionnaires clustered around 0.682-0.748. Compared to the STOP-Bang (94.8%) and Berlin questionnaires (96.3%), the NoSAS score (95.2%) had equally high negative predictive value in ruling out severe SDB.
Conclusions: The NoSAS score performed similarly to the STOP-Bang and Berlin questionnaires in a multiethnic Asian cohort. All three questionnaires had high negative predictive values in ruling out severe SDB and may have utility as screening tools.
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http://dx.doi.org/10.1007/s11325-016-1455-4 | DOI Listing |
Sci Rep
January 2025
The Second Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524003, Guangdong, China.
Obstructive sleep apnea (OSA) often leads to complications in the elderly. This study compares the usefulness of five screening tools for OSA in elderly patients. Data from elderly patients diagnosed with OSA, collected from the Sleep Medicine Center of the First Affiliated Hospital of Guangzhou Medical University from January 2012 to June 2017, is analyzed.
View Article and Find Full Text PDFSleep Breath
November 2024
Department of Neurology, Affiliated ZhongDa Hospital, Southeast University, Nanjing, China.
J Sleep Res
November 2024
Department of Neurology, Bern University Hospital (Inselspital) and University Bern, Bern, Switzerland.
Sleep-disordered breathing is common in stroke and may negatively affect its outcome. Screening for sleep-disordered breathing in this setting is of interest but poorly studied. We aimed to evaluate the performance of eight obstructive sleep apnea screening questionnaires to predict sleep-disordered breathing in acute stroke or transient ischaemic attack patients, and to assess the impact of stroke/transient ischaemic attack-specific factors on sleep-disordered breathing prediction.
View Article and Find Full Text PDFWest Afr J Med
February 2024
.School of Health Sciences University of Abomey-Calavi, Cotonou, Benin Republic.
Background: Sleep breathing disorders (SDB), especially obstructive sleep apnoea (OSA), are poorly studied in the young population. This study aimed to determine the prevalence of OSA and its associated risk factors among young persons.
Methods: A cross-sectional study design was used, and participants aged 16-35 years were recruited from five tertiary institutions in Ibadan, South Western, Nigeria.
Eur Arch Otorhinolaryngol
June 2024
Department of Otolaryngology-Head and Neck Surgery, Eye, Ear, Nose, and Throat Hospital of Fudan University, Shanghai, People's Republic of China.
Purpose: The study aimed to assess the performance of the PVT in patients with suspected OSA, evaluate its role in population screening for OSA.
Methods: The NoSAS, STOP-Bang, ESS scores and PVT tests were performed after suspected OSA patients' admission, followed by PSG. Then we compared the PVT results, calculated the sensitivity, specificity and ROC curve of PVT, and analyzed the accuracy of STOP-Bang and NoSAS questionnaire combined with PVT in predicting OSA.
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