ArticleJournal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine2018
Simplifying the Screening of Obstructive Sleep Apnea With a 2-Item Model, No-Apnea: A Cross-Sectional Study.
Article in Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed.
- Performance of six screening scores for obstructive sleep apnoea in an African population: findings from the BeSAS cross-sectional study.Sleep medicine: X · 2026Article
- Explainable Machine-Learning Model for Predicting Severe Obstructive Sleep Apnea in Patients Undergoing Metabolic Bariatric Surgery.Obesity surgery · 2026Article
- Obstructive sleep apnea: Proposed scoring system.World journal of methodology · 2026Review
- Validation Performance of Screening Tools for Predicting Obstructive Sleep Apnea Among Chinese Patients Undergoing Metabolic Bariatric Surgery: Insights from a Multicenter Database.Obesity surgery · 2026Article
- Screening for obstructive sleep apnea in an Afro-Caribbean Population: Diagnostic performance of common questionnaires compared with respiratory polygraphy - The MASOS Study A prospective, cross-sectional, descriptive, and analytical study.Sleep & breathing = Schlaf & Atmung · 2026Article
- The No-Apnea score for early obstructive sleep apnea detection in a sleep clinic: a study of diagnostic accuracy and comparative performance of three screening instruments.Scientific reports · 2025Article
- Neck circumference predicts the incident cardiac events of obese hypertension with obstructive sleep apnea.American journal of preventive cardiology · 2025Article
- "The M-APNE score: an objective screening tool for OSA highlighting the area under the inspiratory flow-volume curve".Sleep & breathing = Schlaf & Atmung · 2025Article
- Questionnaire and polysomnographic evaluation of obstructive sleep apnea in a cohort of post-COVID-19 patients.Medicine · 2024Observational
- Symptom content analysis of OSA questionnaires: time to identify and improve relevance of diversity of OSA symptoms?Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2024Article
- A New Screening Tool (BAMSA) for Sleep Apnea in Male Professional Truck Drivers.Journal of clinical medicine · 2024Article
- The predictive values of BOAH and No-apnea score for screening obstructive sleep apnea in rotating shift worker drivers.Sleep medicine: X · 2023Article
- Utilization of the GOAL questionnaire as a standardized screening tool for obstructive sleep apnea.Scientific reports · 2023Article
- Observational
- Article
- A new tool to screen patients with severe obstructive sleep apnea in the primary care setting: a prospective multicenter study.BMC pulmonary medicine · 2022Article
- Incorporating neck circumference or neck-to-height ratio into the GOAL questionnaire to better detect and describe obstructive sleep apnea with application to clinical decisions.Frontiers in neuroscience · 2022Article
- Comparison of six assessment tools to screen for obstructive sleep apnea in patients with hypertension.Clinical cardiology · 2021Article
- Article
- Validation of the GOAL Questionnaire as an Obstructive Sleep Apnea Screening Instrument in Bariatric Surgery Candidates: a Brazilian Single-Center Study.Obesity surgery · 2020Article
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6 authors.
Funding
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Abstract
STUDY
objectivesTo develop and validate a practical model for obstructive sleep apnea (OSA) screening in adults based on objectively assessed criteria, and then compare it with two widely used tools, namely STOP-BANG and NoSAS.
methodsThis is a retrospective study of an existing database of consecutive outpatients who were referred for polysomnography for suspected sleep-disordered breathing by their primary care physicians. Area under the curve (AUC) and 2 × 2 contingency tables were employed to obtain the performance of the new instrument.
resultsA total of 4,072 subjects were randomly allocated into two independent cohorts: one for derivation (n = 2,037) and one for validation (n = 2,035). A mnemonic model, named No-Apnea, with two variables (neck circumference and age) was developed (total score: 0-9 points). We used the cutoff ≥ 3 to classify patients at high risk of having OSA. OSA severity was categorized by apnea-hypopnea index (AHI): any OSA (AHI 5 ≥ events/h; OSA-5), moderate/ severe OSA (AHI 15 ≥ events/h; OSA-15); and severe OSA (AHI 30 ≥ events/h; OSA-30). In the derivation cohort, the AUCs for screening of OSA-5, OSA-15, and OSA-30 were: 0.784, 0.758, and 0.754; respectively. The rate of subjects correctly screened was 78.1%, 68.8%, and 54.4%, respectively for OSA-5, OSA-15, and OSA-30. Subsequently, the model was validated confirming its reproducibility. In both cohorts, No-Apnea discrimination was similar to STOP-BANG or NoSAS.
conclusionsThe No-Apnea, a 2-item model, appears to be a useful and practical tool for OSA screening, mainly when limited resources constrain referral evaluation. Despite its simplicity when compared to previously validated tools (STOP-BANG and NoSAS), the instrument exhibits similar performance characteristics.
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