The discriminative power of STOP-Bang as a screening tool for suspected obstructive sleep apnea in clinically referred patients: considering gender differences

The STOP-Bang questionnaire: A narrative review on its utilization in different populations and settings

STUDY RATIONALE

Although the STOP-Bang questionnaire has been validated for its efficacy and diagnostic performance in various settings, there is no review that summarizes the pertinent evidence of the STOP-Bang questionnaire in the different populations. We aimed to review the evidence of the diagnostic performance of the STOP-Bang questionnaire, correlation between STOP-Bang scores and the probability of obstructive sleep apnea (OSA), and its clinical application in various populations.

STUDY IMPACT

This review guides healthcare providers in the sleep medicine and perioperative medicine disciplines to be better informed when using the STOP-Bang questionnaire in the different populations. It provides a greater understanding for both patients and clinicians when making decisions regarding OSA screening for each population.

Crossectional Study on the Performance of Screening Questionnaires for Prediction of Moderate to Severe Obstructive Sleep Apnea in Women

Introduction  The clinical manifestations of obstructive sleep apnea (OSA) are different between genders. Though there are several screening questionnaires for OSA, their performance in females is not fully understood, as women have been historically underrepresented in research studies. Objective  To assess the performance of screening questionnaires and their capacity to identify a moderate to severe apnea-hypopnea index (AHI) in women. Materials and Methods  The Epworth sleep scale (ESS), Berlin questionnaire, and STOP-BANG questionnaire (SBQ) were correlated with AHI. Also, the sensitivity (S), specificity (Sp), and area under the receiver operating characteristic (AUC-ROC) curve were calculated for each questionnaire and combinations thereof. Multiple regression models were used to identify ≥15 ev/h AHI. Results  Our study included 5,344 patients: 1978 women (37.1%) aged 55.06 ± 14 years with body mass index (BMI): 32.6 ± 8.30 kg/m 2 , ESS: 7.69 ± 5.2 points, and high-risk Berlin score: 87.25%. An AHI ≥15 ev/h was found in 30.4% of women. In terms of the capacity to identify an ≥15 ev/h AHI in women, the AUC-ROC of ESS >10 and high-risk Berlin was 0.53 and 0.58, respectively. Three components of SBQ in any combination showed: a S of 65.1% (95% CI: 61.2-68.9), a Sp: 61.5% (95% CI: 58.9-64.1), with the AUC-ROC: 0.67. Conclusions  Questionnaires perform differently in women. Therefore, it is necessary to take a gender-specific approach. The SBQ showed a higher discriminative power and more specificity than the ESS and the Berlin questionnaire. The best performance was obtained with any combination of 3 SBQ components. Age, BMI, neck circumference, and hypertension were the strongest predictors.

Validation of Trøndelag Apnoea Score Proxy for Obstructive Sleep Apnoea in the General Population of Norway: The HUNT Study

The aim was to validate a new seven-item "TASC" (Trøndelag Apnoea Score) proxy for obstructive sleep apnoea (OSA) against polysomnography in the general population. Objectives included validation against different polysomnographic criteria, stratification by age and gender, and estimation of OSA prevalence. From the fourth wave of the Trøndelag Health Study (HUNT4), 1,201 participants were randomly invited to a substudy focusing on sleep and headaches, of whom 232 accepted and 84 (64% women, mean age 55.0 years, and standard deviation 11.5 years) underwent polysomnography. The TASC proxy sums seven binary items for snoring, observed breathing pauses, restricted daytime activities, hypertension, body mass index (≥30 kg/m2), age (≥50 years), and gender (male). A single night of ambulatory (home) polysomnography was analysed using both the recommended and optional hypopnoea criteria of the American Academy of Sleep Medicine (AASM). We found 65% sensitivity and 87% specificity (Cohen's κ = 0.53, 95% confidence interval 0.34-0.72) for TASC ≥ 3 against AHI ≥ 15 (recommended AASM criteria). Validity was similar against AHI ≥ 30 but lower against AHI ≥ 5 and against the optional AASM criteria. Sensitivity and overall validity were higher among men and those above 50 years of age. The prevalence of an apnoea-hypopnoea index (AHI) of at least 5, 15, or 30 using the recommended (and optional) AASM criteria was 73% (46%), 37% (18%), or 15% (5%). A seven-item TASC proxy for OSA showed good validity and may be useful in screening and epidemiological settings. Sensitivity, specificity, and validity vary considerably by cut-off, by polysomnographic scoring criteria, and by gender and age strata.

Sex-dependent GOAL screening performance in adults at risk for obstructive sleep apnea

OBJECTIVE

To evaluate possible sex-related differences in the performance of the GOAL, a 4-item obstructive sleep apnea (OSA) screening instrument in adults.

METHODS

Between July 2019 and June 2021, this cross-sectional study included consecutively recruited patients from one Brazilian sleep laboratory undergoing overnight polysomnography. Individuals with GOAL scores ≥ 2 of a maximum of 4 points are classified at high risk for OSA diagnosis. Actual OSA severity was based on the apnea-hypopnea index: ≥ 5.0/h as any OSA, ≥ 15.0/h as moderate-to-severe OSA, and ≥ 30.0/h as severe OSA. Performance of the GOAL instrument in women and men was assessed by the discriminatory ability (obtained from area under the curve [AUC]-Receiver Operating Characteristic curves) and 2×2 contingency tables.

RESULTS

A total of 2,978 subjects (55.3% males) were evaluated. The frequency of GOAL-defined OSA high-risk was statistically higher in men when compared to women (p < 0.001). The GOAL predictive parameters for screening all severity OSA levels were as follows: in females, sensitivity ranging from 58.2% to 78.3% and specificity ranging from 60.0% to 77.6%, while in males, sensitivity ranging from 90.5% to 96.9% and specificity from 20.7% to 46.8%. The GOAL questionnaire had similar discriminatory properties, assessed by AUC, in women and in men: i) any OSA: 0.741 vs. 0.771 (p = 0.204), ii) moderate-to-severe OSA: 0.727 vs. 0.737 (p = 0.595), and iii) severe OSA: 0.728 vs. 0.703 (p = 0.240); respectively.

CONCLUSIONS

The GOAL instrument emerges as a useful tool for screening adult individuals and displays similar performance in both women and men.

Association between preserved ratio impaired spirometry and sleep apnea in a Chinese community

OBJECTIVE

This study investigated the association between obstructive sleep apnea (OSA) and preserved ratio impaired spirometry (PRISm) in a community population.

METHODS

Baseline data from a prospective cohort study, the Predictive Value of Combining Inflammatory Biomarkers and Rapid Decline of FEV1 for COPD (PIFCOPD), were used for cross-sectional analysis. Participants aged 40-75 years were recruited from the community and their demographic information and medical history were collected. The STOP-Bang questionnaire (SBQ) was used to assess the risk of OSA. Pulmonary function tests were performed using a portable spirometer (COPD-6) and forced expiratory volume in 1 s (FEV1) and 6 s (FEV6) were measured. Routine blood, biochemical, high-sensitivity C-reactive protein (hs-CRP), and interleukin-6 tests were also performed. The pH of the exhaled breath condensate was determined.

RESULTS

A total of 1183 participants were enrolled, of which 221 with PRISm and 962 with normal lung function. The neck circumference, waist-to-hip ratio, hs-CRP concentration, proportion of males, cigarette exposure, number of current smoker, high risk of OSA, and prevalence of nasal and ocular allergy symptoms were significantly higher in the PRISm group than in the non-PRISm group (p < .05). Logistic regression showed that the risk of OSA (odds ratio, 1.883; 95% confidence interval, 1.245-2.848), waist-to-hip ratio, current smoking, and prevalence of nasal allergy symptoms were independently associated with PRISm after correcting for age and sex.

CONCLUSION

These findings showed that OSA prevalence is independently associated with PRISm prevalence. Further studies should confirm the relationship between systemic inflammation in OSA, localized inflammation of the airways, and impaired lung function.

Predicting obstructive sleep apnea severity from craniofacial images using ensemble machine learning models

Obstructive sleep apnea (OSA) is a prevalent disease affecting 10 to 15% of Americans and nearly one billion people worldwide. It leads to multiple symptoms including daytime sleepiness; snoring, choking, or gasping during sleep; fatigue; headaches; non-restorative sleep; and insomnia due to frequent arousals. Although polysomnography (PSG) is the gold standard for OSA diagnosis, it is expensive, not universally available, and time-consuming, so many patients go undiagnosed due to lack of access to the test. Given the incomplete access and high cost of PSG, many studies are seeking alternative diagnosis approaches based on different data modalities. Here, we propose a machine learning model to predict OSA severity from 2D frontal view craniofacial images. In a cross-validation study of 280 patients, our method achieves an average AUC of 0.780. In comparison, the craniofacial analysis model proposed by a recent study only achieves 0.638 AUC on our dataset. The proposed model also outperforms the widely used STOP-BANG OSA screening questionnaire, which achieves an AUC of 0.52 on our dataset. Our findings indicate that deep learning has the potential to significantly reduce the cost of OSA diagnosis.

A Narrative Review of Sex and Gender Differences in Sleep Disordered Breathing: Gaps and Opportunities

INTRODUCTION

Sleep disordered breathing (SDB) is a common condition, associated with multiple comorbidities including cardiovascular and metabolic disease. It has been previously established that SDB is more prevalent in men than women, shifting the literature's focus away from the latter population. As such, underdiagnosis, and thus undertreatment, of SDB in women exists.

METHODS

To establish the differences in prevalence, clinical presentation, and pathophysiology of SDB between the two sexes, a narrative review of the current literature was performed.

RESULTS

Rates of SDB are higher among men, likely driven by differences in symptom presentation between men and women, with women presenting with more "atypical" symptoms, and lack of sensitivity in SDB screening tools to detect SDB in women. In addition to the cardiovascular risks of SDB, women with SDB may have worse quality of life, higher prevalence of insomnia, and respiratory issues.

DISCUSSION

More research is needed to better define the unique pathophysiology and clinical presentation of SDB in women. In addition, an increased awareness among health care providers and the lay public of the SDB-specific sex and gender differences will serve to minimize disparities in identification and treatment of SDB in women.

Accuracy and modification of the STOP ‐bang questionnaire for screening patients with obstructive sleep apnea in China

Despite the high sensitivity of the STOP-Bang questionnaire [snoring, tiredness, observed apneas, high blood pressure, body mass index, age, neck size, gender] questionnaire (SBQ), which is widely used to screen individuals at high risk of obstructive sleep apnea (OSA), few studies have evaluated the discrimination related to sex in the SBQ. Therefore, our study aimed to assess whether SBQ performance is gender-related and modified by changing body mass index (BMI) and neck circumference (NC) cut-off values. A total of 470 patients attended the sleep centres. They were divided into moderate-to-severe OSA and non-moderate-to-severe OSA groups based on the apnea-hypopnea index (AHI) and the results of the SBQ screening. The predictive performance of the SBQ screening instrument was evaluated by 2 × 2 contingency tables and discriminatory ability, which was estimated from the area under the curve (AUC) obtained from receiver operating characteristic curve. Our results suggest that when screening for moderate-to-severe OSA, the original SBQ has higher sensitivity and lower specificity for men; however, women have higher specificity and lower sensitivity. The SBQ achieved the maximum AUC of 0.783 for men and 0.634 for women when the BMI cut-off value was established at 30 kg/m² and the NC cut-off value was established at 38 cm in men, and the BMI cut-off value was established at 25 kg/m² and the NC cut-off value at 36 cm in women. Balancing the optimal sensitivity and specificity, the cut-off value of the optimal modified SBQ total scores for men was determined to be ≥4 and ≥3 for women.

Sex and Gender in Lung Disease and Sleep Disorders: A State-of-the-Art Review

The terms sex and gender often are used interchangeably, but have specific meaning when it comes to their effects on lung disease. Ample evidence is now available that sex and gender affect the incidence, susceptibility, presentation, diagnosis, and severity of many lung diseases. Some conditions are more prevalent in women, such as asthma. Other conditions are seen almost exclusively in women, like lymphangioleiomyomatosis. Some life stages-such as pregnancy-are unique to women and can affect the onset and course of lung disease. Clinical presentation may differ as well, such as higher number of exacerbations experienced by women with COPD and greater cardiovascular morbidity in women with sleep-disordered breathing. In addition, response to therapy and medication safety may also differ by sex, and yet, pharmacogenomic factors often are not addressed adequately in clinical trials. Various aspects of lung and sleep biology and pathobiology are impacted by female sex and female reproductive transitions. Differential gene expression or organ development can be impacted by these biological differences. Understanding these differences is the first step in moving toward precision medicine for women. This article is a state-of-the-art review of specific effects of sex and gender focused on epidemiology, disease presentation, risk factors, and management of lung diseases. Pathobiological mechanisms explaining sex differences in these diseases are beyond the scope of this article. We review the literature and focus on recent guidelines about using sex and gender in research. We also review sex and gender differences in lung diseases.

Sleep Measurements in Women

Sleep in women and men have been studied in several studies with higher prevalence of sleep complaints in women compared with men. Several factors can affect sleep and could be argued to contribute to sex and gender differences in general sleep. There are no differences in guidelines when measuring sleep in women but several sleep assessment tools have been validated or compared between sexes. Because there is still a lack of knowledge on sleep measurements in women, the present review aimed to produce an overview of the current knowledge of objective and subjective sleep measurements in women.

Use and Performance of the STOP-Bang Questionnaire for Obstructive Sleep Apnea Screening Across Geographic Regions: A Systematic Review and Meta-Analysis

IMPORTANCE

Obstructive sleep apnea (OSA) is a highly prevalent global health concern and is associated with many adverse outcomes for patients.

OBJECTIVE

To evaluate the utility of the STOP-Bang (snoring, tiredness, observed apnea, blood pressure, body mass index, age, neck size, gender) questionnaire in the sleep clinic setting to screen for and stratify the risk of OSA among populations from different geographical regions.

DATA SOURCES AND STUDY SELECTION

MEDLINE, MEDLINE In-process, Embase, EmCare Nursing, Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, PsycINFO, Journals@Ovid, Web of Science, Scopus, and CINAHL electronic databases were systematically searched from January 2008 to March 2020. This was done to identify studies that used the STOP-Bang questionnaire and polysomnography testing in adults referred to sleep clinics.

DATA EXTRACTION AND SYNTHESIS

Clinical and demographic data were extracted from each article independently by 2 reviewers. The combined test characteristics were calculated using 2 × 2 contingency tables. Random-effects meta-analyses and metaregression with sensitivity analyses were performed. The Preferred Reporting Items for Systematic Review and Meta-analyses (PRISMA) guideline was followed.

MAIN OUTCOMES AND MEASURES

The combined test characteristics and area under summary receiver operating characteristic curves (AUCs) were used to compare STOP-Bang questionnaire accuracy with polysomnography testing.

RESULTS

A total of 47 studies with 26 547 participants (mean [SD] age, 50 [5] years; mean [SD] body mass index, 32 [3]; 16 780 [65%] men) met the criteria for the systematic review. Studies were organized in different geographic regional groups: North America, South America, Europe, Middle East, East Asia, and South or Southeast Asia. The prevalence rates for all OSA, moderate to severe OSA, and severe OSA were 80% (95% CI, 80%-81%), 58% (95% CI, 58%-59%), and 39% (95% CI, 38%-39%), respectively. A STOP-Bang score of at least 3 had excellent sensitivity (>90%) and high discriminative power to exclude moderate to severe and severe OSA, with negative predictive values of 77% (95% CI, 75%-78%) and 91% (95% CI, 90%-92%), respectively. The diagnostic accuracy of a STOP-Bang score of at least 3 to detect moderate to severe OSA was high (>0.80) in all regions except East Asia (0.52; 95% CI, 0.48-0.56).

CONCLUSIONS AND RELEVANCE

The results of this meta-analysis suggest that the STOP-Bang questionnaire can be used as a screening tool to assist in triaging patients with suspected OSA referred to sleep clinics in different global regions.

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 (apnea–hypopnea 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.

Evaluation of Obstructive Sleep Apnea in Female Patients in Primary Care: Time for Improvement?

Obstructive sleep apnea (OSA) has historically been regarded as a male disease. However, there are a number of significant gender-related differences in the symptoms, diagnosis, and consequences of OSA, which seems to be more severe in male than in female patients, although this sex difference decreases with increasing age. Female patients with OSA tend to present nonspecific symptoms, such as insomnia, depressive symptoms, fatigue, morning headache, and nightmares, often resulting in underdiagnosis and undertreatment compared to male patients. Understanding these differences in women is essential for early identification and referral of patients for diagnosis and treatment of OSA.

Which Screening Questionnaire is Best for Predicting Obstructive Sleep Apnea in the Sleep Clinic Population Considering Age, Gender, and Comorbidities?

OBJECTIVE

The purpose of this study was to evaluate the predictive power of the screening questionnaires including Epworth Sleepiness Scale (ESS), Berlin questionnaire (BQ) and STOP-Bang questionnaire (SBQ) to identify the high-risk patients for OSA in a sleep clinic setting considering age, gender and comorbidities.

MATERIAL AND METHODS

1003 patients who admitted to our sleep center with the preliminary diagnosis of OSA between June 2016-May 2018 were included in the study. All patients underwent in-lab polysomnographic examination and filled out ESS, Berlin and STOP-Bang questionnaires. Predictive parameters for each screening questionnaires were calculated.

RESULTS

For apnea-hypopnea index (AHI) ≥5/h, the sensitivity and the specificity of the EES, BQ and SBQ were 50.6%, 89.8%, 97.9% and 56.6%, 27.3%, 16.2% respectively. The STOP-Bang questionnaire had the highest sensitivity in both males and females (99.1%, 94.8% respectively) and in the different age groups (97.3% for ≥45 age-group, 99.2% for ≥65 age-group). In the groups of patients with hypertension, diabetes mellitus, coronary artery disease, chronic obstructive pulmonary disease and asthma, the sensitivity of the STOP-Bang questionnaire was 99.5%, 100%, 99.5%, 100%, 97.4%, respectively.

CONCLUSION

The STOP-Bang questionnaire had the highest sensitivity for detecting high-risk patients for OSA in a sleep clinic setting. STOP-Bang questionnaire was superior to the Berlin questionnaire and ESS in the different groups of age, gender, and comorbidities. Considering the close relationship between OSA and comorbidities, it is critical to screen patients in terms of OSA in outpatient clinics of internal medicine, cardiology, and chest disease departments. The STOP-Bang questionnaire, with its high sensitivity, may be useful for screening OSA. However, the low specificity should be improved in the questionnaire.

Preoperative Screening for Obstructive Sleep Apnea Using Alternative Scoring Models of the Sleep Tiredness Observed Pressure-Body Mass Index Age Neck Circumference Gender Questionnaire: An External Validation

BACKGROUND

The Sleep Tiredness Observed Pressure-Body mass index Age Neck circumference Gender (STOP-Bang) questionnaire is a validated preoperative screening tool for identifying patients with obstructive sleep apnea (OSA). Although it has a high sensitivity at scores ≥3, its specificity is moderate, particularly for scores of 3-4. This study aimed to externally validate the STOP-Bang questionnaire and the alternative scoring models that have been proposed to improve its predictive performance.

METHODS

This prospective cohort study included 115 surgical patients with preoperative STOP-Bang scores of 3-8. Type 3 sleep recordings identified moderate-to-severe OSA, reflected by an apnea-hypopnea index (AHI) of >15. Patients were categorized into 2 subgroups: patients with an intermediate (STOP-Bang 3-4) or a high risk of OSA (STOP-Bang 5-8). For patients with scores of 3-4, we tested approaches identified in previous studies: stepwise stratification of the STOP-Bang questionnaire and additional preoperative measurement of serum bicarbonate concentrations.

RESULTS

The incidence of moderate-to-severe OSA was significantly higher in patients with STOP-Bang scores of 5-8 than in patients with scores of 3-4: 45 of 58 patients (78%) versus 30 of 57 patients (53%), respectively (P < .01). For patients with STOP-Bang scores of 3-4, we found no differences regarding their OSA diagnosis between patients included in the alternative scoring models and those not included.

CONCLUSIONS

The STOP-Bang questionnaire detected moderate-to-severe OSA patients when scores reached 5-8. However, its performance was altered in patients with STOP-Bang scores of 3-4, and alternative scoring models with specific combinations of factors failed to improve the screening of these patients.

The role of dry mouth in screening sleep apnea

PURPOSE OF THE STUDY

Effective screening questionnaires are essential for early detection of obstructive sleep apnea (OSA). The STOP-Bang questionnaire has high sensitivity but low specificity. Dry mouth is a typical clinical sign of OSA. We hypothesised that adding dry mouth in the STOP-Bang questionnaire would improve its specificity.

STUDY DESIGN

A survey of the incidence of dry mouth was performed in a general population group and suspected sleep apnea clinical population group. Patients with suspected OSA were assessed by laboratory polysomnography and STOP-Bang questionnaire was performed. Adding the option of dry mouth to the OSA screening questionnaire resulted in a new quesionnaire, where cut-off value, diagnostic efficacy and the predictive parameters (sensitivity, specificity, positive predictive value and negative predictive value) were explored.

RESULTS

(In the 912 general population group, the incidence of dry mouth in the snoring group (54.0%) was much higher than that in the non-snoring group (30.5%) (p<0.05). In 207 patients with suspected OSA, the incidence of dry mouth in the OSA group was much higher than that in the non-OSA group (p<0.05). The sensitivity and specificity of the STOP-Bang questionnaire were 88.8% and 23.7% for identifying OSA, and 92.2% and 23.1% for identifying moderate and severe OSA, respectively. Adding the option of dry mouth (dry mouth every morning) to the STOP-Bang questionare resulted in a new questionnaire (STOP-Bang-dry-mouth questionnarie) with 9 items. Its sensitivity and specificity were 81.70% and 42.10% for identifying OSA, and 89.10% and 42.30% for identifying moderate and severe OSA, respectively.

CONCLUSIONS

The dry mouth symptom correlated with snoring and sleep apnea. The specificity of the STOP-Bang questionnaire can be improved by integrating dry mouth. The diagnostic accuracy of the STOP-Bang-dry mouth questionnaire is yet to be further verified in prospective studies.

[A modified STOP-Bang questionnaire for OSA screening in the young, middle-age women]

Objective:The STOP-Bang（S-B） questionnaire is widely used for screening patients with OSA. However, BMI and NC cutoff value in the original S-B questionnaire is 35 kg/m²and 40cm, the BMI and NC value in the young and middle-aged female patients in China is lower than that. We aimed to establish a more appropriate modified STOP-Bang（MS-B） questionnaire. Method:A total of 523 cases with suspected OSA in the young and middle-aged female were included in this study. All patients were asked to completed the S-B, MS-B questionnaire and undergo overnight polysomnography（PSG）. The BMI and NC value of the MS-B were determined by the optimal operating points of the ROC. The ability of S-B and MS-B were assessed by ROC and McNemar's test. Result:BMI=28 kg/m²and NC=36 cm as alternative cutoff is to refine S-B questionnaire. When taking apnea hypopnea index（AHI） ≥5 times/h, ≥15 times/h and ≥30 times/h as cut-offs, MS-B had higher sensitivity（88.7% vs 86.7%, 92.8% vs 87.7%, 95.0% vs 90.1%, respectively） and the area under the curve（0.74 vs 0.706, 0.734 vs 0.703, 0.739 vs 0.699, respectively） than S-B. There were significant differences in McNemar test（P<0.05）. Conclusion:This study examined the clinical utility of MS-B. MS-B may improve predictive performance of S-B questionnaire in the young and middle-aged female with OSA.

Predictive ability and reliability of the STOP-BANG questionnaire in screening for obstructive sleep apnea in midlife women

OBJECTIVES

The STOP-BANG questionnaire (snoring, tiredness, observed apneas, high blood pressure, body mass index, age, neck size, gender) was originally validated to screen for obstructive sleep apnea (OSA) in the surgical population. It has been validated in mixed populations of men and women. We aimed to evaluate its reliability for OSA screening of midlife women.

STUDY DESIGN

We retrospectively evaluated midlife women seen at the Women's Health Clinic at Mayo Clinic in Rochester, Minnesota, who completed the STOP-BANG questionnaire and subsequently underwent diagnostic polysomnography (PSG) or home sleep apnea testing (HSAT).

MAIN OUTCOME MEASURES

The questionnaire's predictive ability was assessed with the apnea hypopnea index (AHI) measured at PSG and HSAT.

RESULTS

Because participants were female, the gender question response was consistently 0, making the mean (SD) STOP-BANG score low at 3 (1.2). The most sensitive item to detect any OSA and moderate to severe OSA through STOP-BANG was observed apneas; the most specific item to detect OSA and moderate to severe OSA was neck circumference exceeding 40 cm. A score of 3 or more had a sensitivity of 77 % and a specificity of 45 % to detect moderate to severe OSA. The area under the curve with the STOP-BANG score to predict moderate to severe OSA was 0.67 (95 % CI, 0.51-0.84).

CONCLUSIONS

Interpretation of the STOP-BANG questionnaire is nuanced for midlife women. Given the nature of its questions, a lower score may be predictive of more severe OSA in women, necessitating use of a lower threshold to trigger further testing.

Gender Differences in Obstructive Sleep Apnea: The Value of Sleep Questionnaires with a Separate Analysis of Cardiovascular Patients

Background: Gender affects the clinical presentation of obstructive sleep apnea (OSA). The classic OSA symptoms, such as sleepiness, snoring, and apnea, are not so frequent in women. Objectives: To evaluate possible gender differences in questionnaires used for OSA prediction, such as the Epworth Sleepiness Scale (ESS), STOP, STOP Bang (SB), Berlin Questionnaire (BQ), Athens Insomnia Scale (AIS), and Fatigue Scale (FS). Methods: 350 males were matched with 350 women referred to a sleep clinic, according to OSA severity. All responded to the questionnaires and underwent a sleep study. Cardiovascular disease (CVD) patients were separately analyzed. Results: ESS did not differ between genders. SB was higher in males, whereas STOP, BQ, AIS, and FS were higher in females. BQ presented the highest sensitivity in both genders, whereas STOP exhibited the highest specificity in males and ESS in females. AIS and FS were more sensitive and SB more specific in females, whereas BQ was more specific in males. For severe OSA, the predictive values of SB and BQ were almost similar for both genders; however AIS and FS were higher in women. CVD patients presented higher scores, independent of gender, except for AIS, which was higher in females. Conclusion: Gender-specific evaluation of questionnaires is necessary to prevent OSA under-diagnosis.

The utility of STOP-BANG questionnaire in the sleep-lab setting

Polysomnography (PSG) is considered the gold standard in obstructive sleep apnea-hypopnea syndrome (OSAS) diagnostics, but its availability is still limited. Thus, it seems useful to assess patients pre-diagnostic risk for OSAS to prioritize the use of this examination. The purpose of this study was to assess positive (PPV) and negative (NPV) predictive values of the STOP BANG questionnaire (SBQ) in patients with presumptive diagnosis of OSAS. From a database of 1,171 (880 men) patients of a university based sleep center, 1,123 (847 men) met eligibility criteria and their SBQ scores were subject to the Bayesian analysis. The analysis of PPV and NPV was conducted at all values of SBQ for all subjects, but also separately for males and females, and for total sleep time (TS) and for sleep in the lateral position (LP). The probability of OSAS (AHI ≥ 5) and at least moderate OSAS (AHI ≥ 15) for TS was 0.766 and 0.516, while for LP the values were 0.432 and 0.289, respectively. Overall, due to low specificity, SBQ had low PPV for TS and LP. Negative test result (SBQ < 3) revealed NPV of 0.620 at AHI < 5 and 0.859 at AHI < 15 for TS, while in LP NPV values were 0.935 at AHI < 5 and 1.0 at AHI < 15, (n = 31), while SBQ < 4 generated NPV of 0.943 in LP (n = 105). SBQ did not change probabilities of OSAS to confirm or rebut diagnosis for TS. However, it is highly probable that SQB can rule out OSAS diagnosis at AHI ≥ 15 for LP.