A meta-analysis of the diagnostic value of NoSAS in patients with sleep apnea syndrome

Chen, Huimin; Zheng, Zhenzhen; Chen, Riken; Zeng, Yu; Li, Nanhong; Zhu, Jiang; Zhong, Yue; Liu, Haimin; Lu, Jianmin; Zhang, Nuofu; Hong, Cheng

doi:10.1007/s11325-021-02410-3

Cited by 9 publications

(4 citation statements)

References 29 publications

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“…of particular interest is a meta-analysis of 10 studies, involving a total of 14,510 patients, which demonstrated that the NoSaS score for the detection of oSa of all severity categories was satisfactorily with an aUC of 0.770, similar to the present study. the same meta-analysis demonstrated that the NoSAS score ≥8 had a sensitivity of 79.8% and a specificity of 58.2% for the detection of OSA of all severity categories, while in our study, the corresponding sensitivity is 85.86% and the specificity 50% (22).…”

Section: Discussionsupporting

confidence: 52%

Validation of NoSAS score for the screening of obstructive sleep apnea

Georgakopoulou

Pantazis

Tsiafaki

et al. 2023

Med Int

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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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Section: Discussionsupporting

confidence: 52%

Validation of NoSAS score for the screening of obstructive sleep apnea

Georgakopoulou

Pantazis

Tsiafaki

et al. 2023

Med Int

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“…(Marti-Soler et al, 2016). A Meta-analysis of NoSAS showed a combined sensitivity of 79.8%, a combined specificity of 58.2%, and the AUC was 0.77 (Chen et al, 2022). When evaluating moderate-to-severe OSA, the AUC was 0.746, the sensitivity was 68.2% and the specificity was 75.4% (Costa et al, 2020).…”

Section: Prediction Modelmentioning

confidence: 99%

Development and assessment of a risk prediction model for moderate-to-severe obstructive sleep apnea

et al. 2022

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BackgroundOSA is an independent risk factor for several systemic diseases. Compared with mild OSA, patients with moderate-to-severe OSA have more severe impairment in the function of all organs of the body. Due to the current limited medical condition, not every patient can be diagnosed and treated in time. To enable timely screening of patients with moderate-to-severe OSA, we selected easily accessible variables to establish a risk prediction model.MethodWe collected 492 patients who had polysomnography (PSG), and divided them into the disease-free mild OSA group (control group), and the moderate-to-severe OSA group according to the PSG results. Variables entering the model were identified by random forest plots, univariate analysis, multicollinearity test, and binary logistic regression method. Nomogram were created based on the binary logistic results, and the area under the ROC curve was used to evaluate the discriminative properties of the nomogram model. Bootstrap method was used to internally validate the nomogram model, and calibration curves were plotted after 1,000 replicate sampling of the original data, and the accuracy of the model was evaluated using the Hosmer-Lemeshow goodness-of-fit test. Finally, we performed decision curve analysis (DCA) of nomogram model, STOP-Bang questionnaire (SBQ), and NoSAS score to assess clinical utility.ResultsThere are 6 variables entering the final prediction model, namely BMI, Hypertension, Morning dry mouth, Suffocating awake at night, Witnessed apnea, and ESS total score. The AUC of this prediction model was 0.976 (95% CI: 0.962–0.990). Hosmer-Lemeshow goodness-of-fit test χ2 = 3.3222 (P = 0.1899 > 0.05), and the calibration curve was in general agreement with the ideal curve. The model has good consistency in predicting the actual occurrence of moderate-to-severe risk, and has good prediction accuracy. The DCA shows that the net benefit of the nomogram model is higher than that of SBQ and NoSAS, with has good clinical utility.ConclusionThe prediction model obtained in this study has good predictive power for moderate-to-severe OSA and is superior to other prediction models and questionnaires. It can be applied to the community population for screening and to the clinic for prioritization of treatment.

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“…(118) O NoSAS já foi validado em vários contextos clínicos, sempre se mostrando um instrumento de triagem útil. (129) O questionário GOAL utiliza somente quatro parâmetros clínicos dicotômicos, sendo originalmente derivado e validado para a população brasileira. (119) No estudo original, o GOAL revelou desempenho adequado no rastreamento da AOS, com capacidade discriminatória semelhante à obtida por outros três instrumentos (No-Apnea, STOP-Bang e NoSAS).…”

Section: Suspeita Clínicaunclassified

Brazilian Thoracic Association Consensus on Sleep-disordered Breathing

et al. 2022

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Sleep is essential for the proper functioning of all individuals. Sleep-disordered breathing can occur at any age and is a common reason for medical visits. The objective of this consensus is to update knowledge about the main causes of sleep-disordered breathing in adult and pediatric populations, with an emphasis on obstructive sleep apnea. Obstructive sleep apnea is an extremely prevalent but often underdiagnosed disease. It is often accompanied by comorbidities, notably cardiovascular, metabolic, and neurocognitive disorders, which have a significant impact on quality of life and mortality rates. Therefore, to create this consensus, the Sleep-Disordered Breathing Department of the Brazilian Thoracic Association brought together 14 experts with recognized, proven experience in sleep-disordered breathing.

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A meta-analysis of the diagnostic value of NoSAS in patients with sleep apnea syndrome

Cited by 9 publications

References 29 publications

Validation of NoSAS score for the screening of obstructive sleep apnea

Validation of NoSAS score for the screening of obstructive sleep apnea

Development and assessment of a risk prediction model for moderate-to-severe obstructive sleep apnea

Brazilian Thoracic Association Consensus on Sleep-disordered Breathing

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