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Some patient subsets are at higher risk of sleep apnea, including patients with chronic pain. However, it is unclear whether patients and their caregivers are aware of the possibly increased risk of sleep apnea in this population. Chronic pain is often treated with opioids which may decrease both the central respiratory drive and the patency of the upper airway, potentially contributing to this sleep disorder. Using a self-reporting questionnaire approach in the chronic pain population, this study surveyed patient and caregiver awareness surrounding the risk of sleep apnea. In addition, we looked at the influence of opioid therapy on the prevalence of sleep apnea. Consecutive patients presenting to a pain clinic were invited to participate anonymously in a survey that included the STOP-Bang sleep apnea questionnaire, which assesses patients' knowledge, testing, diagnosis, or treatment of sleep apnea and whether their caregivers had discussed with them their increased risk of sleep apnea and opioid use. Among 305 participating patients, 58.2% (n=173) screened positive for sleep apnea. Among the 202 patients on opioid therapy, 59.2% (116/202) were STOP-Bang positive (score ≥3). However, only 37.5% (n=72/173) of these patients had discussed their risk of sleep apnea with a caregiver and only 30.7% (n=59) underwent testing. Against expectation, opioids did not increase the prevalence of sleep apnea in our study population. Chronic pain patients had a high risk of sleep apnea, regardless of opioid prescription. Most patients were unaware of their increased risk and denied undergoing the necessary testing. Greater attention to screening, testing, and education for sleep apnea needs to be paid in chronic pain patients, especially given the potentially dangerous ramifications of opioid-induced sleep apnea.

PurposeObstructive sleep apnea (OSA) is a critical occupational health concern, but is often undiagnosed in the general population and commercial drivers. The STOP-Bang questionnaire is a simple, reliable tool to screen for OSA, which could improve public health in a cost-effective manner. The objective of this systematic review and meta-analysis is to assess the validity of the STOP-Bang questionnaire to detect OSA in these key populations.MethodsWe searched MEDLINE, Embase, Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, PsycINFO, Journals @ Ovid, Web of Science, Scopus, and CINAHL for relevant articles from 2008 to March 2020. The quality of studies was appraised using Cochrane Methods criteria. To calculate pooled predictive parameters, we created 2 × 2 contingency tables and performed random-effects meta-analyses.ResultsOf 3871 citations, five studies that evaluated STOP-Bang in the general population (n = 8585) and two in commercial drivers (n = 185) were included. In the general population, prevalence of all OSA (AHI ≥ 5), moderate-to-severe OSA (AHI ≥ 15), and severe OSA (AHI ≥ 30) was 57.6%, 21.3%, and 7.8% respectively. In commercial drivers, the prevalence of moderate-to-severe OSA was 37.3%. The trends of high sensitivity and negative predictive value of a STOP-Bang score ≥ 3 illustrates that the questionnaire helps detect and rule out clinically significant OSA in the general population and commercial drivers.ConclusionThis meta-analysis demonstrates that the STOP-Bang questionnaire is a valid and effective screening tool for OSA in the general population and commercial drivers.Trial registrationPROSPERO No. CRD42020200379; 08/22/2020

This study aimed to investigate the association between representative Insulin resistance (IR) surrogates and obstructive sleep apnea (OSA). The study consisted of 8606 adults from the Korea National Health and Nutrition Examination Survey (KNHANES, 2019–2021), a nationwide population-based database. The STOP-Bang questionnaire was used for assessing the risk of OSA. Fasting insulin concentrations, triglyceride glucose index (TyG index), and homeostasis model assessment for insulin resistance (HOMA-IR) were used as surrogate IR markers. A multivariable logistic regression and a restricted cubic spline (RCS) model were applied to examine the association between IR and OSA risk. Multivariate logistic regression analysis revealed that only TyG index (odds ratio [OR] 2.02; 95% confidence interval [CI] 1.56–2.62) was significantly associated with an increased risk of OSA. Results of the RCS analysis showed a positive nonlinear relationship between HOMA-IR and OSA risk ( p for non-linearity < 0.001). Subgroup RCS analyses indicated that the effect of elevated TyG index on increasing risk of OSA was more pronounced in males, those aged over 60 years, and smokers. These findings suggest that the TyG index may be a more promising surrogate marker for identifying individuals at increased risk of OSA than other IR indicators. It may serve as a practical tool for OSA risk assessment, particularly in populations with elevated metabolic burden.

Background Obstructive sleep apnea (OSA) is a common disorder that is highly associated with postoperative complications. The STOP-Bang questionnaire is a simple screening tool for OSA. The objective of this systematic review and meta-analysis is to evaluate the validity of the STOP-Bang questionnaire for screening OSA in the surgical population cohort. Methods A systematic search of the following databases was performed from 2008 to May 2021: MEDLINE, Medline-in-process, Embase, Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, PsycINFO, Journals @ Ovid, Web of Science, Scopus, and CINAHL. Continued literature surveillance was performed through October 2021. Results The systematic search identified 4641 articles, from which 10 studies with 3247 surgical participants were included in the final analysis. The mean age was 57.3 ± 15.2 years, and the mean BMI was 32.5 ± 10.1 kg/m 2 with 47.4% male. The prevalence of all, moderate-to-severe, and severe OSA were 65.2, 37.7, and 17.0%, respectively. The pooled sensitivity of the STOP-Bang questionnaire for all, moderate-to-severe, and severe OSA was 85, 88, and 90%, and the pooled specificities were 47, 29, and 27%, respectively. The area under the curve for all, moderate-to-severe, and severe OSA was 0.84, 0.67, and 0.63. Conclusions In the preoperative setting, the STOP-Bang questionnaire is a valid screening tool to detect OSA in patients undergoing surgery, with a high sensitivity and a high discriminative power to reasonably exclude severe OSA with a negative predictive value of 93.2%. Trial registration PROSPERO registration  CRD42021260451 .

Objectives This study aimed to investigate and compare sleep quality between patients with chronic temporomandibular disorder and healthy controls, and to analyze the association of sleep quality with disease characteristics, obstructive sleep apnea risk factors, and excessive daytime sleepiness. Methods Chronic temporomandibular disorder patients ( n  = 503, mean age: 33.10 ± 13.26 years, 333 females) and 180 age- and sex-matched healthy controls (mean age: 32.77 ± 12.95 years, 116 females) were included, who completed well-organized clinical report and answered questions on sleep quality (Pittsburgh Sleep Quality Index), sleep apnea risk factors (STOP-Bang questionnaire), and excessive daytime sleepiness (Epworth sleepiness scale). Results Mean global Pittsburgh Sleep Quality Index scores were significantly higher in the patients (6.25 ± 2.77) than in healthy controls (3.84 ± 2.29) ( p  <  0.001). Poor sleep was significantly more prevalent in the patient group (56.9%) than in healthy controls (22.2%) ( p  <  0.001). Compared with healthy controls, chronic temporomandibular disorder patients had a higher likelihood of obstructive sleep apnea (STOP-Bang total score ≥ 3; 7.2% vs. 16.1%; p  <  0.01) and higher excessive daytime sleepiness (Epworth sleepiness scale score ≥ 10; 12.8% vs. 19.7%; p  <  0.05). Age (odds ratio = 2.551; p  <  0.001), female sex (odds ratio = 1.885; p  = 0.007), total Epworth sleepiness scale score (odds ratio = 1.839; p  = 0.014), and headache attributed to temporomandibular disorder (odds ratio = 1.519; p  = 0.049) were the most powerful predictors of poor sleep (global Pittsburgh Sleep Quality Index score ≥ 5) in chronic temporomandibular disorder patients. Conclusion Chronic temporomandibular disorder patients had markedly impaired sleep quality than healthy controls. Poorer sleep in patients with chronic temporomandibular disorder was associated with a variety of clinical factors, including a higher likelihood of excessive daytime sleepiness, older age, female gender, higher Epworth sleepiness scale scores, and the presence of headache attributed to temporomandibular disorder.

Background The loud S noring, T iredness, O bserved apnea, high blood P ressure (STOP)- B ody mass index (BMI), A ge, N eck circumference, and g ender (Bang) questionnaire is a validated screening tool for identifying obstructive sleep apnea in surgical patients. However, the predictive performance of the STOP-Bang score in obese and morbidly obese patients remains unknown. Methods Preoperative patients were approached for consent and were screened for obstructive sleep apnea (OSA) by the STOP questionnaire. Information concerning Bang was collected. Laboratory or portable polysomnography were performed in 667 patients. Patients with BMI of ≥30 kg/m 2 were defined as obese patients and ≥35 kg/m 2 as morbidly obese. The predictive parameters (sensitivity, specificity, and positive and negative predictive values) for the STOP-Bang score in obese and morbidly obese patients were analyzed. Results In 310 obese patients, a STOP-Bang score of 3 has high sensitivity of 90 % and high positive predictive value of 85 % for identifying obese patient with OSA. A STOP-Bang score of 4 had high sensitivity (87.5 %) and high negative predictive value (90.5 %) for identifying severe OSA, whereas a STOP-Bang score of 6 had high specificity (85.2 %) to identify severe OSA. The diagnostic odds ratio of a STOP-Bang score of 4 was 4.9 for identifying severe OSA. In 140 morbidly obese patients, a STOP-Bang score of 4 had high sensitivity (89.5 %) for identifying severe OSA. Conclusions The STOP-Bang score was validated in the obese and morbidly obese surgical patients. For identifying severe OSA, a STOP-Bang score of 4 has high sensitivity of 88 %. For confirming severe OSA, a score of 6 is more specific.

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. The sensitivity, specificity, predictive values, area under the curve (AUC), and diagnostic odds ratio (DOR) of the five screening tools are computed and compared. 273 elderly patients with suspected OSA are included, of whom 189 are male (69.2%). The Berlin Questionnaire has an AUC of 0.670 (95%CI: 0.611–0.725) at different cut-off points. The sensitivity and specificity of the Berlin Questionnaire are noticeably high at 0.653 (0.587–0.719) and 0.608 (0.497–0.719), 0.699 (0.621–0.776) and 0.533 (0.449–0.616), and 0.803 (0.713–0.892) and 0.503 (0.433–0.572) when the AHI is 5, 15, and 30 times/hour, respectively. The GOAL Questionnaire has the highest DOR at AHI cut-off points of 5 and 15 times/hour, while Berlin has the highest DOR at an AHI cut-off point of 30 times/hour. Comprehensive use of these five screening questionnaires for suspected OSA in elderly patients aged 60 years and older is valuable and worth promoting among the elderly population.

We aimed to investigate the association between health-related behaviors and obstructive sleep apnea (OSA) among Korean adults. A cross-sectional design using national open data was employed. Data from 8,096 adults aged 40 years and above who participated in the Korea National Health and Nutrition Examination Survey between 2019 and 2021 were analyzed. The participants’ OSA risk level was assessed using the STOP-Bang questionnaire. A logistic regression analysis was performed to investigate the association between health-related behaviors and high risk for OSA. The association between health-related behaviors and OSA risk remained significant for former smokers (OR = 1.643) and high-risk drinking (OR = 1.365), after adjusting for variables that showed significant differences in general and metabolic characteristics. Implementing lifestyle modifications is crucial for mitigating the health and societal impact of OSA. Understanding and addressing modifiable risk factors, including high-risk drinking and smoking, should be prioritized in nursing intervention. Nursing interventions are critical for preventing and managing OSA among Korean adults. Prioritizing high-risk behaviors through cessation programs and education is essential. Vulnerability of individuals living alone must be addressed through community outreach and support services. Emphasizing routine screenings for pre-hypertension and pre-diabetes, promoting balanced nutrition, and encouraging physical activity are crucial.

Background and objectives: Obstructive Sleep Apnea represents a widespread problem in the population, but it is often not diagnosed and not considered a true pathology. Different diagnostic tools are available for the diagnosis of sleep apnea. This study aims to demonstrate the ability of the STOP-Bang (Snoring, Tiredness, Observed apnea, high blood Pressure, Body mass index, Age, Neck circumference, and Gender) questionnaire in identifying subjects with Obstructive Sleep Apnea (OSA) Syndrome, highlighting the role of dentists as epidemiological sentinels. Materials and methods: the STOP-Bang questionnaire was administered to a cohort of 1000 patients, assessing three private dental clinics in Italy. Excessive daytime sleepiness was measured using Epworth Sleepiness Scale (ESS) and defined as ≥ 10. Subjects were considered at risk of OSA if they had three or more positive items at STOP-Bang and were invited to undergo further examination with a type 3 polygraph. Presence of OSA was measured with the apnea-hypopnea index (AHI) and defined as AHI ≥ 5. Results: 482/1000 subjects (48.2%) had three or more positive items in the STOP-Bang questionnaire and were considered at risk for Obstructive Sleep Apnea Syndrome (OSAS). Excessive daytime sleepiness (EDS ≥ 10) was more frequent among subjects at risk for OSAS (73/482, 15.1%) vs. those not at risk for OSAS (30/518, 5.8%) (p < 0.0001). Moreover, 153/482 subjects at risk for OSAS (31.7%) accepted further examination with a type 3 polygraph. Presence of OSAS (AHI ≥ 5) was suggested in 121/153 subjects (79.1%, 95% CI 71.6% to 85.1%), with 76/121 subjects (62.8%) needing treatment (AHI ≥ 15). Conclusion: the high prevalence of OSAS highlights the role of dentists as “epidemiological sentinels”. The STOP-Bang questionnaire is a simple and efficacious instrument for screening sleep apnea patients.

Obstructive sleep apnea (OSA) may impact outcomes in acute coronary syndrome (ACS) patients. The Global Registry of Acute Coronary Events (GRACE) score assesses cardiovascular risk post-ACS. This study evaluated whether incorporating the STOP-BANG score (a surrogate for OSA) enhances GRACE’s predictive ability. A total of 227 myocardial infarction (MI) patients were included, with 66 (29.07%) experiencing in-hospital cardiovascular events. Patients with events were older, predominantly male, and had worse clinical markers, including lower hemoglobin and ejection fraction and higher RDW, creatinine, CRP, and GRACE scores ( p  < 0.001). While STOP-BANG was higher in event patients, risk group classification was non-significant ( p  = 0.3). Three models were trained: (1) all selected features, (2) GRACE alone, and (3) GRACE + STOP-BANG. The Extra Trees Classifier performed best (ROC-AUC = 0.82). Adding STOP-BANG improved the F1-score, accuracy, and precision but had a non-significant effect on ROC-AUC. The decision curve analysis showed an increased net benefit when STOP-BANG was incorporated. Feature importance analysis ranked STOP-BANG highest in models, reinforcing its relevance. While this study showed that STOP-BANG improved risk stratification, further multicenter validation is needed to confirm its clinical utility in ACS risk models.