Obstructive sleep apnea (OSA) is the most common sleep-related breathing disorder (SBD) characterized by the repetitive collapse of the upper airway during sleep. The aim of the present study was to validate the Neck circumference, Obesity, Snoring, Age, Sex (NoSAS) score in a sample population and to compare its validity for OSA screening, with that of the Berlin questionnaire, STOP-BANG questionnaire and Epworth Sleepiness Scale (ESS). A retrospective analysis was conducted on individuals, aged 18 to 80 years, who reported symptoms indicating SBD and were examined with full-night polysomnography (PSG) at a sleep center. Demographics, anthropometric parameters, comorbidities, ESS, STOP-BANG questionnaire, Berlin questionnaire and PSG data were obtained from the recorded data of the patients. The NoSAS score was determined using the recorded data. A total of 347 participants were enrolled in the study. The NoSAS scores identified individuals with OSA, with an area under the curve (AUC) of 0.774. The NoSAS score performed significantly better than the Berlin questionnaire (AUC 0.617) and the ESS (AUC 0.642), and similarly to STOP-BANG (AUC 0.777) for OSA screening. Using a NoSAS score >7 to predict OSA, the sensitivity and specificity were 85.6 and 50%, respectively; using the STOP-BANG questionnaire, for a score >2, the values were 98.32 and 22% respectively; using the Berlin questionnaire for >1 positive categories, the values were 93.6 and 20%, and using the ESS, for a score >10, the values were 30.3% and 72%, respectively. On the whole, the present study demonstrates that the NoSAS score is a simple, efficient and easy method for screening OSA in the clinical setting. The NoSAS score performs significantly more efficiently than the Berlin questionnaire and ESS, and similarly to STOP-BANG questionnaire for OSA screening.
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http://dx.doi.org/10.3892/mi.2023.74 | 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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