Utility of the psychomotor vigilance task in screening for obstructive sleep apnoea.

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. RESULTS: A total of 308 patients were divided into four groups based on AHI: primary snoring (2.74 ± 1.4 events/h, n = 37); mild OSA (9.96 ± 3.25 events/h, n = 65); moderate OSA (22.41 ± 4.48 events/h, n = 76); and, severe OSA (59.42 ± 18.37 events/h, n = 130). There were significant differences in PVT lapses (p < 0.001) and reaction time (RT, p = 0.03) among the four groups. The PVT lapses and RT were positively correlated with AHI (p < 0.001) and ODI (p < 0.001), and negatively correlated with LSpO2 (p < 0.001). When diagnosing OSA (AHI ≥ 5 events/h), the AUCs of PVT, ESS, STOP-Bang, and NoSAS were 0.679, 0.579, 0.727, and 0.653, respectively; the AUCs of STOP-Bang and NoSAS combined with PVT increased. After combined PVT, the diagnostic specificity of STOP-Bang and NoSAS at nodes with AHI ≥ 5, ≥ 15 and ≥ 30 events/h increased to varying degrees. CONCLUSION: Patients with OSA exhibited impairment in the PVT, and the combination of the PVT and STOP-Bang or NoSAS scores can improve the diagnostic efficacy and specificity for OSA.

NoSAS score predicts cardiovascular disease in patients with obstructive sleep apnea.

PURPOSE: The Lausanne NoSAS (Neck circumference, Obesity, Snoring, Age, Sex) score is a new tool for the identification of high-risk patients for obstructive sleep apnea (OSA). Up to now, no study has attempted to determine the role of NoSAS score in cardiovascular morbidity of patients with OSA. We aimed to investigate the relationships between NoSAS scores and CVD and also between severity of OSA, polysomnographic parameters, and NoSAS scores in patients with OSA. METHODS: Patients with diagnosis of OSA by full-night polysomnography were recruited in the study. Based on apnea-hypopnea index (AHI) scores, the patients were categorized as OSA-negative (AHI < 5), mild OSA (5 ≤ AHI < 15), moderate OSA (15 ≤ AHI < 30), and severe OSA (AHI ≥ 30). The definition of cardiovascular diseases (CVD) included the presence of any of the diseases such as hypertension, coronary artery disease, heart failure, or arrhythmia. RESULTS: A total of 1514 patients including cases with 199 OSA-negative, 391 mild, 342 moderate, and 582 severe OSA were enrolled in the study. NoSAS scores were significantly different between mild, moderate, and severe OSA groups. NoSAS scores were negatively correlated with minimum oxygen saturation values and positively with AHI and ODI (oxygen desaturation index) values (P < 0.001). NoSAS scores were significantly higher in patients with CVD, diabetes mellitus, and cerebrovascular disease compared with those without (P < 0.005). NoSAS cut-off values for hypertension (14), congestive heart failure (8.5), coronary artery disease (9), cerebrovascular event (11), and diabetes mellitus (10) were also determined. CONCLUSION: NoSAS scores are associated with CVD and the severity of OSA. NoSAS scores may be useful to predict CVD in patients with OSA.

Predictive value of NoSAS questionnaire combined with the modified Mallampati grade for hypoxemia during routine sedation for gastrointestinal endoscopy.

BACKGROUND: The incidence of hypoxemia during painless gastrointestinal endoscopy remains a matter of concem. To date, there is no recognized simple method to predict hypoxemia in digestive endoscopic anesthesia. The NoSAS (neck circumference, obesity, snoring, age, sex) questionnaire, an objective and simple assessment scale used to assess obstructive sleep apnea (OSA), combined with the modified Mallampati grade (MMP), may have certain screening value. This combination may allow anesthesiologists to anticipate, manage, and consequently decrease the occurrence of hypoxemia. METHODS: This study was a prospective observational trial. The primary endpoint was the incidence of hypoxaemia defined as pulse oxygen saturation (SpO2) < 95% for 10 s. A total of 2207 patients admitted to our hospital for painless gastrointestinal endoscopy were studied. All patients were measured for age, height, weight, body mass index, neck circumference, snoring, MMP, and other parameters. Patients were divided into hypoxemic and non-hypoxemic groups based on the SpO2. The ROC curve was plotted to evaluate the screening value of the NoSAS questionnaire separately and combined with MMP for hypoxemia. The total NoSAS score was evaluated at cut-off points of 8 and 9. RESULTS: With a NoSAS score ≥ 8 as the critical value for analysis, the sensitivity for hypoxemia was 58.3%, the specificity was 88.4%, and the area under the ROC was 0.734 (P < 0.001, 95% CI: 0.708-0.759). With a NoSAS score ≥ 9 as a critical value, the sensitivity for hypoxemia was 36.50%, the specificity rose to 96.16%, and the area under the ROC was 0.663 (P < 0.001, 95% CI: 0.639-0.688). With the NoSAS Score combined with MMP for analysis, the sensitivity was 78.4%, the specificity was 84%, and the area under the ROC was 0.859 (P < 0.001, 95%CI:0.834-0.883). CONCLUSIONS: As a new screening tool, the NoSAS questionnaire is simple, convenient, and useful for screening hypoxemia. This questionnaire, when paired withMMP, is likely to be helpful for the screening of hypoxemia.

Establishment and Application Evaluation of an Improved Obstructive Sleep Apnea Screening Questionnaire for Chinese Community: The CNCQ-OSA.

Objective: Obstructive sleep apnea (OSA) is a common sleep-disordered breathing disease. We aimed to establish an improved screening questionnaire without physical examinations for OSA named the CNCQ-OSA (Chinese community questionnaire for OSA). Methods: A total of 2585 participants who visited sleep medicine center and underwent overnight polysomnography were grouped into two independent cohorts: derivation (n = 2180) and validation (n = 405). The CNCQ-OSA was designed according to the baseline of patients in derivation cohort. We comprehensively analyzed the data to evaluate the predictive value of the CNCQ-OSA, compared to the GOAL questionnaire, STOP-Bang questionnaire (SBQ) and NoSAS questionnaire. Results: The CNCQ-OSA included seven variables: loud snoring, BMI ≥ 25 kg/m2, male gender, apnea, sleepiness, hypertension and age ≥30, with a total score ranging from 7 to 16.7 points (≥13.5 points indicating high risk of OSA, ≥14.5 points indicating extremely high risk). In the derivation and validation cohorts, the areas under the curve of the CNCQ-OSA were 0.761 and 0.767, respectively. In the validation cohort, the sensitivity and specificity of a CNCQ-OSA score ≥13.5 points for the apnea-hypopnea index (AHI) ≥5/h were 0.821 and 0.559, respectively (Youden index, 0.380), and the score ≥14.5 points were 0.494 and 0.887, respectively (Youden index, 0.375). The CNCQ-OSA had a better predictive value for AHI ≥ 5/h, AHI > 15/h and AHI > 30/h, with the highest Youden index, compared to the other questionnaires. Conclusion: The CNCQ-OSA can effectively identify the risk of OSA, which is appropriate for self-screening at home without physical examinations.

Validation of GOAL questionnaire as screening tool for clinical obstructive sleep apnea: A large sample study in China.

Background: Obstructive sleep apnea (OSA) is a serious disease with a high prevalence in the general population. The purpose of this study is to explore the effectiveness of the GOAL questionnaire in the clinical screening of OSA and compare it with other existing screening tools. Materials and methods: Outpatients and inpatients who underwent polysomnography (PSG) examination at the Sleep Medicine Center of the First Affiliated Hospital of Guangzhou Medical University from January 2013 to November 2016 were analyzed retrospectively. The basic data such as demographic, medical history, etc., and PSG data of the patients were collected, and the sensitivity, specificity, positive predictive value, negative predictive value and area under the curve (AUC) of GOAL and five other screening scales (the NoSAS score, Epworth Sleepiness Scale, the Berlin questionnaire, STOP, and STOP-Bang questionnaire) were calculated. Results: Data from 2,171 participants (1,644 male; 78%) were analyzed there were 1,507 OSA patients [Apnea Hypopnea Index (AHI) ≥ 5 events/h] among them, accounting for about 69.415%. No matter which cut-off point (AHI ≥ 5, 15 and 30 events/h), the AUC score reveals that GOAL questionnaire had comparable screening ability to the NoSAS and STOP-BANG, and performed better than the ESS, and the AUC scores of the STOP questionnaire and Epworth Sleepiness Scale (ESS) were both lower than 0.7. When the cut-off point of the AHI was 5 events/h, the AUC of GOAL was the highest at 0.799 (0.781-0.816), and its sensitivity was the highest at 89.1%. The sensitivity levels of the NoSAS score and STOP-Bang questionnaire were 67.4 and 78.8% respectively, while ESS and the Berlin questionnaire have higher specificity (70.2 and 72.3% respectively) but lower sensitivity (49.3 and 60.0% respectively). Conclusion: GOAL is a free, efficient and easy to manage tool with a screening ability comparable to NoSAS and STOP-Bang, and better than that of ESS.

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

Background: OSA 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. Method: We 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. Results: There 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. Conclusion: The 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.

Application value of joint NoSAS score and Epworth Sleepiness Scale for assessment of obstructive sleep apnea hypopnea syndrome.

OBJECTIVE: By comparing the predictive value of the NoSAS (Neck circumference, Obesity, Snoring, Age and Sex) score combined with the Epworth Sleepiness Scale (ESS), STOP-Bang Questionnaire (STOP-Bang), STOP Questionnaire (STOP) and Berlin Questionnaire (Berlin), the application value of the NoSAS score combined with ESS in screening Obstructive sleep apnea hypopnea syndrome (OSAHS) in the population is evaluated. METHOD: 2560 suspected OSAHS patients visited the Sleep Medical Center of the First Hospital of Guangzhou Medical University between September 1, 2016 and October 31, 2020, and were monitored with a polysomnogram (PSG) after completing the NoSAS score, ESS, STOP-Bang, STOP and Berlin. The sensitivity, specificity, positive predictive value, negative predictive value and receiver operating characteristic (ROC) curve of each scale were calculated, and the accuracy in predicting OSAHS of the NoSAS score combined with ESS and each scale was analyzed. RESULTS: The areas under the ROC curve scored by Berlin were higher than those of the other four questionnaires with Apnea Hypopnea Index (AHI) cutoffs of ≥5 and ≥ 10 events/h, while the area under the ROC curve scored by the NoSAS score was the highest with AHI cutoffs of ≥15, ≥20, ≥25 and ≥ 30 events/h. Among the five scales, the diagnostic odds ratio (DOR) of the NoSAS score was the highest. When a NoSAS score of ≥7 was used as the cutoff point for diagnostic NoSAS, it had higher sensitivity and specificity with a NoSAS score of ≥8 as the cutoff point for diagnostic NoSAS. A NoSAS score of ≥7 combined with ESS significantly improved its specificity for predicted OSAHS patients. CONCLUSION: The NoSAS score is a simple and effective new tool for screening patients for OSAHS, while a NoSAS score of ≥7 combined with ESS can further improve its specificity. Thus, we suggest further screening with ESS after a NoSAS score of ≥7 in suspected populations.

Association of objective and subjective parameters of obstructive sleep apnea with plasma aldosterone concentration in 2,066 hypertensive and 25,368 general population.

Study objectives: Obstructive sleep apnea (OSA) severity has been suggested in aldosterone elevation in resistant hypertension, whereas it is undetermined in the rest population. We explored the association of OSA parameters with plasma aldosterone concentration (PAC) in participants with and without hypertension. Methods: We enrolled clinically hypertensive patients with polysomnography and PAC data under no interfering agents, compared (log) PAC, and assessed the linearity of log PAC by tertiles (T1/2/3) of sleep parameters and their association using linear regression by gender and age. We enrolled participants with and without hypertension who had No-SAS scale and PAC data from the community and duplicated the observations from clinical setting considering age, gender, and presence of hypertension. Results: Of the 2,066 clinical patients with hypertension (1,546 with OSA), men participants (n=1,412), log apnea-hypopnea index (p=0.043), apnea index (AI, p=0.010), and lowest oxygen saturation (LSaO2, p=0.013) showed significant linearity with log PAC. Log AI (B=0.04, 95%CI: 0.01,0.07, p=0.022) and log LSaO2 (B=-0.39, 95%CI: -0.78,-0.01, p=0.044) showed significant positive and negative linear associations with log PAC in regression. In community dwellers, 6,417 participants with untreated hypertension (2,642 with OSA) and 18,951 normotensive participants (3,000 with OSA) were included. Of the men participants with and without hypertension, the OSA group showed significantly higher (log) PAC than did their counterparts, and log No-SAS score showed positive association with log PAC (hypertension: B=0.072, 95%CI: 0.002,0.142, p=0.043; normotension: B=0.103, 95%CI: 0.067,0.139, p<0.001) in linear regression analysis, which were consistent in all age groups. Conclusions: OSA parameters were positively associated with PAC in normotensive and hypertensive participants, indicating that OSA may increase circulating aldosterone, especially in men.

Lower 24-h urinary potassium excretion is negatively associated with excessive daytime sleepiness in the general population.

OBJECTIVES: Uncertainty remains about the association of potassium (K) intake and sleepiness. Therefore, we aimed to explore the relationship between K excretion using 24-h urine samples and excessive daytime sleepiness (EDS) in the general population. METHODS: In a cross-sectional study, we used multi-stage proportional random sampling to obtain a study sample aged ≥ 18 years from Emin, China between March and June 2019. We collected timed 24-h urine specimens and conducted EDS assessments using the Epworth Sleepiness Scale (ESS) questionnaire. Subjects were divided into two groups by the median of 24-h urinary potassium (24-h UK). EDS was defined as ESS score ≥ 10. Multi-variable linear regression was used to examine the association between the 24-h UK and the odds of prevalent EDS. We performed a sensitivity analysis by excluding subjects under anti-hypertensive treatment and those with sleep disordered breathing by the NoSAS scale. RESULTS: A total of 470 participants with complete 24-h urine samples and ESS data (62% women, mean age 49.6 years, mean ESS score of 9.0 ± 5.2) were enrolled. The mean ESS score was significantly lower in the upper half of 24-h UK group than in the lower half (9.5 ± 5.3 vs 8.5 ± 5.1, P = 0.044), and accordingly, prevalent EDS was significantly greater in the lower half than in the higher half (49% vs 40%, P = 0.039). In further improving the propensity matching score, the results remained consistent with the overall results. In multiple linear regression, 24-h UK was negatively correlated with ESS score (ß = - 0.180 (- 0.276, - 0.085), < 0.001). Sensitivity analysis demonstrated augmented results in those without anti-hypertensive treatment. CONCLUSION: Lower potassium intake, as suggested by lower UK excretion, may be implicated in the presence of EDS in the general population.

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

OBJECTIVE: The NoSAS score is a new tool widely used in recent years to screen for obstructive sleep apnea. A number of studies have shown that the NoSAS score is more accurate than previous tools, such as the Berlin, STOP-Bang, and STOP questionnaires. Therefore, this meta-analysis assessed the diagnostic value of the NoSAS score for sleep apnea syndrome in comparison to polysomnography. METHODS: Two researchers searched the PubMed, EMBASE, Cochrane, and Web of Science databases through November 13, 2020. This paper used Endnote9.3 software to manage the literature and RevMan 5.3 and STATA12.0 software to perform the meta-analysis. RESULTS: A total of 10 studies were included in this meta-analysis, including 14,510 patients. The meta-analysis showed that the pooled sensitivity was 0.798 (95% CI 0.757, 0.833), the pooled specificity was 0.582 (95% CI 0.510, 0.651), the positive likelihood ratio was 1.909 (95% CI 1.652, 2.206), the negative likelihood ratio was 0.347 (95% CI 0.300, 0.403), the diagnostic OR was 5.495 (95% CI 4.348, 6.945), and the area under the SROC curve was 0.77 (95% CI 0.73, 0.80). The NoSAS score has good efficacy in identifying patients likely to have obstructive sleep apnea. CONCLUSION: The NoSAS score can accurately identify patients likely to have obstructive sleep apnea. Therefore, in the absence of polysomnography, one should use the NoSAS score to evaluate patients with suspected sleep apnea syndrome.

The influence of sex on anthropometric methods and four scales for screening obstructive sleep apnea.

OBJECTIVES: Obstructive Sleep Apnea (OSA) is a kind of respiratory disease that occurs apnea repeatedly during sleep. The purpose of this study was to investigate the influence of sex on anthropometric methods and four scales for screening OSA. METHODS: The basic data and PSG data of 2108 patients who underwent PSG examination at the Sleep Medicine Center of the First Affiliated Hospital of Guangzhou Medical University from July 2017 to December 2020 were continuously included. Then the sensitivity, specificity, positive predictive value, negative predictive value, AUC and DOR of the anthropometric method and the four scales were calculated. RESULTS: 2108 OSA patients were enrolled from the Sleep Medicine Center, including 1644 males (78.0%). The average neck circumference and waist circumference of male and female patients were respectively (39.4±3.4) cm and (96.7±13.8) cm,(34.6±3.5) cm and (90.1±11.6) cm. In female patients. the AUC of NoSAS was the largest. When AHI was 5, 15, and 30 evens/h as the cut-off point, in male patients, the sensitivity of NHR was the highest,in female patients, the sensitivity of WHR was the highest. CONCLUSIONS: NHR and WHR are good tools for screening OSA in male and female patients respectively. They are worthy of promotion.

Comparison of six assessment tools to screen for obstructive sleep apnea in patients with hypertension.

BACKGROUND: Obstructive sleep apnea (OSA) is often accompanied by other complications, especially hypertension. HYPOTHESIS: The purpose of this study is to compare the application value of six tools in the screening of OSA in patients with hypertension. Compared with other questionnaires, we hypothesized that Berlin performed better in screening hypertensive patients suspected of OSA. METHODS: In this study, we collected the basic data and polysomnography (PSG) data of patients diagnosed with hypertension who underwent PSG at the Sleep Medicine Center of the First Affiliated Hospital of Guangzhou Medical University from April 2012 to March 2021. The sensitivity, specificity, positive predictive value, negative predictive value, area under the curv (AUC) and diagnostic odds ratio (DOR) of the six screening tools were then calculated, and their correlation with the sleep apnea hypopnea index (AHI) analyzed. RESULTS: There were 303 males (303/398, 76.1%) out of 398 hypertension patients suspected of OSA. The area under the curve of the Berlin questionnaire's receiver operating characteristic (ROC) curve reached 0.753 (95%CI: 0.707-0.794). When the AHI was 5, 15 and 30 times/h as the cut-off points, the sensitivity and negative predictive value of Berlin were the highest at 0.947 and 0.630, 0.970 and 0.851, and 0.988 and 0.957 respectively, while the specificity and positive predictive value of the Epworth Sleepiness Scale (ESS) were the highest at 0.696 and 0.729, 0.750 and 0.887, and 0.674 and 0.575 respectively. The DOR value of the Berlin questionnaire could reach 18.333 when the AHI cut-off point was 30 times/h. Berlin had the largest rank correlation coefficient with AHI at 0.466. CONCLUSION: The Berlin questionnaire can be considered a priority for the screening and stratifying of hypertensive patients suspected of OSA.

The role of screening questionnaires in the assessment of risk and severity of obstructive sleep apnea - polysomnography versus polygraphy.

Obstructive sleep apnea (OSA) is a disease of significant importance, which may lead to numerous severe clinical consequences. The gold standard in the diagnosis of this sleep-related breathing disorder (SRBD) is polysomnography (PSG). However, due to the need for high expertise of staff who perform this procedure, its complexity, and relatively low availability, some simpler substitutes have been developed; among them is polygraphy (PG), which is most widely used. Also, there is a variety of questionnaires suitable to assess the pre-test probability and severity of OSA. The most frequently used ones are the STOP-BANG questionnaire (SBQ), NoSAS questionnaire, and Berlin questionnaire (BQ). However, they have different sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) when being used in various populations. The aim of this study is to provide a concise and clinically-oriented review of the most frequently used questionnaires, with special attention to its strengths and limitations. Moreover, we discuss whether PSG or PG would be more preferred for confirming OSA diagnosis with the highest likelihood.

Comparison of NoSAS score with Berlin and STOP-BANG scores for sleep apnea detection in a clinical sample.

BACKGROUND: Because of their high costs and low availability, sleep recordings cannot be used as routine procedures for sleep apnea screening. Therefore, it is important to have a performant screening tool allowing to select patients at higher risk for sleep apnea who need further investigations. The goal of the study is to compare the performances of the three commonly used sleep disordered breathing (SDB) screening questionnaires in a clinical sample. METHODS: Clinical data and sleep studies performed in consecutive adult patients referred to the Lausanne University sleep center for sleep recordings between November 2016 and February 2018 were analysed. Berlin, STOP-Bang and NoSAS screening scores were calculated and compared with the sleep studies' results. RESULTS: NoSAS score showed a NPV of 0.88, a PPV of 0.43 and a correctly classified rate of 71% for an AHI >15/h. STOP-Bang score had a slightly higher negative predictive value (0.92) but a very low positive predictive value (0.30) and a poor correctly classified rate (47%). Berlin score showed globally poor results (NPV:0.85, PPV: 0.29 and a correctly classified rate: 56%). NoSAS score had the highest area under ROC curves (0.78) compared to STOP-bang (0.71) and Berlin (0.62). NoSAS score however yielded a slightly higher rate of false negative than STOP-Bang score. NoSAS false negatives were mainly female snorers with a low neck circumference. CONCLUSION: NoSAS score showed a better discrimination capacity compared to Berlin and STOP Bang scores in an unselected clinical population referred to a sleep center.

Effects of age and sex on the performance of the NoSAS score as a screening tool for obstructive sleep apnea: a hospital-based retrospective study in China.

OBJECTIVES: The NoSAS score has been shown to be a reliable screening tool for obstructive sleep apnea (OSA) in overall populations. This study aimed to explore the effects of age and sex on the predicting performance of this score. METHODS: A retrospective analysis was conducted on 1119 subjects aged ≥ 18 years and with a total sleep time of ≥ 4 h during overnight polysomnography. Discrimination was assessed by using areas under receiver operating characteristic curve (AUCs), while predictive parameters were calculated by using contingency tables. RESULTS: Overall, a NoSAS score of 8 points or higher resulted in sensitivity, specificity, and AUC for predicting an apnea-hypopnea index (AHI) of ≥ 20 events/h of 74%, 36%, and 0.63 (in non-elderly 73%, 46%, and 0.65; in elderly 91%, 17%, and 0.59; in men 85%, 18%, and 0.56; in women 52%, 76%, and 0.71, respectively). The AUCs at all AHI cutoffs were significantly lower in men than in women (all with p < 0.01), while the AUCs at AHI cutoff of 5, 15, and 30 events/h were significantly lower in elderly than in non-elderly (p < 0.01, 0.05, and 0.05, respectively). In non-elderly, a conventional NoSAS with cutoff of 7 or a modified NoSAS with age cutoff of 50 years provided sensitivity and specificity for predicting an AHI of ≥ 20 events/h of 87%, 37% and 80%, 36%, respectively, with comparable AUCs. In women, a conventional NoSAS with cutoff of 6 or a modified NoSAS with neck circumference cutoff of 35 cm provided sensitivity and specificity for predicting an AHI of ≥ 20 events/h of 85%, 39% and 79%, 52%, respectively, with comparable AUCs. CONCLUSIONS: NoSAS score has better discrimination but lower sensitivity for predicting OSA in non-elderly and women than in their counterparts. Age- and sex-specific cutoff values reverse this imbalance. Our results underline the preference of age- and sex-specific cutoff values and the need for better age- and sex-specific screening algorithms.

Evaluating the performance of five scoring systems for prescreening obstructive sleep apnea-hypopnea syndrome.

PURPOSE: A comparison of all scoring systems used for screening for obstructive sleep apnea-hypopnea syndrome (OSAHS) is lacking. The aim of this investigation was to evaluate the performance of five scoring systems for screening for OSAHS, as well as to validate the use of the NoSAS and SACS in the Chinese population. METHODS: Data were retrospectively collected from hospital-based, manned, overnight sleep monitoring studies for 105 consecutive outpatients using a portable monitor (PM) device. RESULTS: The 105 participants had an average age of 46 years and were mostly men (75%). STOP-Bang, SACS, and NoSAS scoring exhibited moderate predictive values at different AHI cutoffs (AUC 0.761-0.853, 0.722-0.854, and 0.724-0.771 respectively), followed by the STOP and Berlin questionnaire (AUC 0.680-0.781vs 0.624-0.724). Both STOP-Bang and SACS showed excellent sensitivity (89.5-100% vs 93.4-94.6%) and negative predictive value (68-100% vs 77.3-90.9%), while STOP-Bang, STOP, and SACS showed low negative likelihood ratios (- LR) (0-0.2). CONCLUSIONS: Our study indicated that the STOP-Bang questionnaire and the SACS both show better predictive value than other scoring systems among the five screening tools for OSAHS. Both scoring systems are simple and easy to implement for screening for OSAHS in the community and in hospitals.

Prediction of obstructive sleep apnea: comparative performance of three screening instruments on the apnea-hypopnea index and the oxygen desaturation index.

PURPOSE: To evaluate the performance of the NoSAS (neck, obesity, snoring, age, sex) score, the STOP-Bang (snoring, tiredness, observed apneas, blood pressure, body mass index, age, neck circumference, gender) questionnaire, and the Epworth sleepiness score (ESS) as a screening tool for obstructive sleep apnea (OSA) severity based on the apnea-hypopnea index (AHI) and the oxygen desaturation index (ODI). METHODS: Data from 235 patients who were monitored by ambulant polysomnography (PSG) were retrospectively analyzed. OSA severity was classified based on the AHI; similar classification categories were made based on the ODI. Discrimination was assessed by the area under the curve (AUC), while predictive parameters were calculated by four-grid contingency tables. RESULTS: The NoSAS score and the STOP-Bang questionnaire were both equally adequate screening tools for the AHI and the ODI with AUC ranging from 0.695 to 0.767 and 0.684 to 0.767, respectively. Both questionnaires perform better when used as a continuous variable. The ESS did not show adequate discrimination for screening for OSA (AUC ranging from 0.450 to 0.525). Male gender, age, and BMI proved to be the strongest individual predictors in this cohort. CONCLUSION: This is the first study to evaluate the predictive performance of three different screening instruments with respect to both the AHI and the ODI. This is important, due to increasing evidence that the ODI may have a higher reproducibility in the clinical setting. The NoSAS score and the STOP-Bang questionnaire proved to be equally adequate to predict OSA severity based on both the AHI and the ODI.

Validation of the NoSAS score for screening sleep-disordered breathing: A sleep clinic- based study in Turkey

Background/aim: The NoSAS score is a new tool for the identification of high-risk patients for sleep-disordered breathing (SDB). The aim of this study was to validate the NoSAS score in a sleep clinical population in Turkey and compare its performance with the Epworth Sleepiness Scale (ESS), STOP-Bang, and Berlin questionnaires for high-risk SDB. Materials and methods: This was a retrospective study. Patients who had a full-night PSG examination between 01.03.2017 and 01.01.2018 at the sleep center of our hospital were included in the study. Demographic characteristics, anthropometrics measurements, ESS, STOP-Bang, and Berlin scores were collected from the existing data of the patients. The NoSAS score was subsequently calculated based on available data. Predictive parameters for each screening questionnaires were calculated to compare the discriminative power of those for high-risk SDB. Results: A total of 450 patients were included in the study. The sensitivity, specificity, PPV, and NPV of the NoSAS score were 81%, 51.2%, 88.2%, and 37.5% for an AHI (apnea­hypopnea index) ≥ 5 event/h and 84.5%, 38.2%, 66%, and 63.4% for an AHI ≥ 15 event/h, respectively. AUC percentages for the NoSAS score, STOP-Bang questionnaire, Berlin questionnaire, and ESS were 0.740, 0.737, 0.626, and 0.571 for an AHI ≥ 5 events/h and 0.715, 0.704, 0.574, and 0.621 for an AHI ≥ 30 events/h. The NoSAS score had a false negative rate of 2.9% for severe SDB. Conclusion: The NoSAS score had a good degree of differentiation for SDB and can be used as an easily applicable, subjective, and effective screening tool in a sleep clinical population in Turkey. Not only in moderate to severe SDB but also in mild SDB, the NoSAS score performed better than the other 3 screening tools.

[The value of improved Mallampati grading combined with NoSAS in OSA screening].

Objective:To evaluate the value of improved Mallampati grading combined with NoSAS questionnaire in screening for obstructive sleep apnea （OSA）. Method:A total of 344 patients admitted to our hospital for sleep disorders were studied. All patients were measured for their height, weight, neck circumference and other parameters. NoSAS scores, improved Mallampati grading and polysomnography （PSG） were performed in these patients. According to AHI in PSG monitoring results, patients were divided into non-osa group （AHI<5） 93 cases and OSA group 251 cases. The OSA group were divided into mild （AHI 5-15）, moderate（AHI 16-30） and severe OSA group（AHI>30） according to the PSG result. The ROC curve was plotted to evaluate the screening value of NoSAS and improved Mallampati grading combined with NoSAS for OSA. Result:With the NoSAS score of 8 or 9 as cutoffs for analysis, the sensitivity for OSA was 0.733 and 0.701; the specificity for OSA was 0.538 and 0.624, respectively. The sensitivity and specificity of NoSAS combined with improved Mallampati grading for screening OSA were 0.813 and 0.710, respectively. Conclusion:As a new screening tool, NoSAS questionnaire is simple and convenient, and has certain screening value to OSA. The improved Mallampati grading combined with NoSAS questionnaire can obviously improve the screening sensitivity and specificity of Osa, and has higher application value.

Sex-specific sleep apnea screening questionnaires: closing the performance gap in women.

BACKGROUND: The availability of poly(somno)graphy [P(S)G] for sleep apnea (SA) diagnosis is limited, making pre-test case evaluation an important challenge. The Neck, Obesity, Snoring, Age, Sex (NoSAS) and STOP-Bang (SBQ) scores are accepted screening tests, but their sex-specific performance in the general population is unknown. OBJECTIVE: To compare the sex-specific diagnostic characteristics of the NoSAS and SBQ scores, and to optimize the performance of these tools for men and women. METHODS: Participants from a population-based cohort (n = 2205) underwent clinical evaluation, including NoSAS, SBQ, and home polygraphy. RESULTS: We obtained successful polygraphy in 1809 participants. Moderate-to-severe SA was present in 11.7%. Diagnostic performance indices of NoSAS and the SBQ calculated on the overall group (men + women) overestimated the performance in both sexes separately. The sensitivity of NoSAS for an apnea/hypopnea index (AHI) ≥15 h-1 was acceptable in men (87.1%), but low in women (55.3%). The reverse was true for the specificity (39.9% in men, 87.4% in women). A similar sex-specific difference in diagnostic performance was seen with the SBQ. Using women-specific cut-offs for the scores (NoSAS ≥6 or SBQ ≥2) and neck circumference (>35 cm) increased the sensitivity in women to levels similar to men (88.5 and 87.2%). Although specificity decreased, it still remained higher than in men. CONCLUSION: In women, the sensitivity of NoSAS and the SBQ is too low for SA screening in the general population. Sex-specific cut-offs reverse this imbalance and achieve test sensitivities in women similar to those in men, whilst still retaining higher specificities than in men. Sleep questionnaires performance reporting should be sex-stratified.