Screening Tools for Obstructive Sleep Apnea in Pregnant Women: An Extended and Updated Systematic Review and Meta-analysis.

The prevalence of obstructive sleep apnea syndrome (OSA) increases in women during pregnancy and negatively affects maternal and fetal outcomes. The updated systematic review and meta-analysis aimed to evaluate the validity of the Berlin, STOP-Bang, and Epworth sleepiness scale (ESS) questionnaires in detecting OSA in pregnant women. PubMed, Embase, and Web of Science were searched systematically up to March 2022. After eligible studies inclusion, two independent reviewers extracted demographic and clinical data. Bivariate random effects models were used to estimate the pooled accuracy measures including sensitivity and specificity, positive (PPV) and negative predictive values (NPVs), diagnostic odds ratio (DOR), and receiver operating characteristic curve (ROC) curve. We included 8 studies including 710 pregnant women with suspected OSA. The performance values of Berlin, STOP-Bang, and ESS questionnaires were as follows: the pooled sensitivity were 61% (95% confidence interval (CI): 40%-80%), 59% (95% CI: 49%-69%), and 29%, (95% CI: 10%-60%); pooled specificity were 61% (95% CI: 42%-78%), 80% (95% CI: 55%-93%), and 80% (95% CI: 50%-94%); pooled PPVs were 60% (95% CI: 0.49-0.72), 73% (95% CI: 61%-85%), and 59% (95% CI: 31%-87%); pooled NPVs were 60% (95% CI: 0.49-0.71), 65% (95% CI: 54%-76%), and 53% (95% CI: 41%-64%); and pooled DORs were 3 (95% CI: 1-5), 6 (95% CI: 2-19), and 2 (95% CI: 1-3), respectively. It seems that the Berlin, STOP-Bang, and ESS questionnaires had poor to moderate sensitivity and specificity in pregnancy, with the ESS showing the worst characteristics. Further studies are required to evaluate the performance of alternative screening methods for OSA in pregnancy.

Association between high risk of obstructive sleep apnea and inflammatory markers in a population sample of young and middle-aged adults in the Miami Heart Study.

STUDY OBJECTIVES: There are limited data depicting the association between high risk of OSA and the levels of inflammatory markers in a population-based sample free from CVD. In a large U.S. cohort enriched with a Hispanic population and free of cardiovascular disease (CVD), we aimed to assess the association between high risk of obstructive sleep apnea (OSA) and inflammatory markers. METHODS: We analyzed data for 2359 clinical CVD-free participants from the Miami Heart Study, aged 40-65 (May 2015 - Sept 2018). High risk of OSA included those with a high risk using the Berlin questionnaire. Poisson regression analyses were utilized to examine the associations between high risk of OSA (reference: low risk of OSA) and hs-CRP, IL-6, and TNF-α levels (continuous) in univariate and multivariate models (adjusting for age, sex, race/ethnicity, and BMI, diabetes, hypertension, high cholesterol, and smoking). RESULTS: 552 (28%) participants were categorized as having a high risk of OSA. Patients with a high risk of OSA had higher median values of hs-CRP (2.3 vs. 1.0), IL-6 (1.9 vs. 1.4), and TNF-α (1.2 vs. 1.1) when compared to those with a low risk of OSA (all p < 0.001). When adjusting for age, sex, and race/ethnicity, the mean difference between patients with high and low risk of OSA in hs-CRP was 2.04 (95% CI 1.85, 2.23), and 0.73 (95% CI 0.57, 0.89) in IL-6. These differences were attenuated when further adjusting for CVD risk factors but remained statistically significant for hs-CRP: (0.38, 95% CI 0.21, 0.55). CONCLUSIONS: After accounting for CVD risk factors, individuals at high risk of OSA had significantly higher levels of hs-CRP, suggesting that OSA screening identified subclinical inflammation in this population sample of individuals free of CVD.

Sleep Apnea and Atrial Fibrillation: Clinical Features and Screening Diagnostic Options.

INTRODUCTION: Obstructive sleep apnea (OSA) is associated with an increased risk of hypertension, coronary artery disease, heart failure (HF), and atrial fibrillation (AF). MATERIALS AND METHODS: A total of 179 patients aged 34-81 years were included in the study. The median age was 63 years (interquartile range: 56-69 years). Of these patients, 105 (58.7%) were men, and 74 (41.3%) were women; there were cases of paroxysmal (n = 99), persistent (n = 64), and permanent AF (n = 16). All patients underwent investigations including respiratory sleep monitoring, echocardiography, and 24 h Holter electrocardiography monitoring. Statistical analyses were performed using IBM SPSS Statistics 26.0. RESULTS: OSA was detected in 131 (73.2%) patients. In patients with OSA, paroxysmal AF was commonest (n = 65), followed by persistent AF (n = 51) and permanent AF (n = 15). The patients with sleep apnea had increased body mass index (33.6 kg/m2; p = 0.02), waist circumference (114 cm; p < 0.001), and neck circumference (42 cm; p < 0.001) values. HF (OR 2.9; 95% CI: 1.4-5.9; p = 0.004) and type 2 diabetes (OR 3.6; 95% CI: 1.5-8.3; p = 0.001) were more common in patients with AF and OSA. The STOP-BANG scale (AUC = 0.706 ± 0.044; 95% CI: 0.619-0.792; p < 0.001) and the Berlin questionnaire (AUC = 0.699 ± 0.044; 95% CI: 0.614-0.785) had a higher predictive ability for identifying sleep apnea. CONCLUSIONS: Patients with AF demonstrate a high prevalence of OSA and an increased association with cardiovascular comorbidities. The STOP-BANG scale and the Berlin questionnaire can be used to screen for OSA in patients with AF.

Prevalence of Obstructive Sleep Apnea Among Atrial Fibrillation Patients: A Cross-Sectional Study from Jordan.

Background: Obstructive Sleep Apnea (OSA) is a common respiratory disorder that causes intermittent upper airway collapse during sleep and can lead to various acute cardiovascular complications. Atrial Fibrillation (AF) is the most common sustained cardiac arrhythmia and is associated with an increased risk of cardiovascular hospitalization and all-cause mortality. Our study aimed to investigate the prevalence of individuals with AF and those considered at high risk for OSA. Methods: A cross-sectional study was conducted with a population comprising patients who had visited KAUH cardiology clinics between 2017-2019; subjects were categorized into AF patients and general cardiology patients. Patients were surveyed for OSA using the Berlin Questionnaire to assess the degree of OSA symptoms and to classify patients into high- or low-risk groups based on their responses. Results: Of the 656 patients, 545 met our inclusion criteria, of whom 192 were diagnosed with AF. Comparable demographic characteristics were observed between the AF and non-AF groups, barring higher rates of obesity (p=0.001) and smoking (p=0.042) in the AF group. The prevalence of high-risk OSA was significantly higher in AF patients (68.2%) compared to non-AF patients (29.4%), with an adjusted odds ratio of 2.473 times (95% CI: 1.434 -4.266, p=0.001) greater for AF. The age, gender, and BMI categories did not differ significantly between the two groups. Binary logistic regression revealed significant associations between OSA and risk factors such as asthma (OR=4.408, 95% CI: 2.634-7.376, p=0.001). Conclusion: These results serve to display a statistically significant increase in high-risk OSA in existing AF patients, irrespective of the presence of conventional OSA risk factors; this could imply a more immediate and direct relationship between both diseases and calls to include routine screening for OSA in patients diagnosed, newly or otherwise, with AF.

Association of obstructive sleep apnea and sleep quality with cognitive function: a study of middle-aged and elderly persons in India.

INTRODUCTION: Symptoms of obstructive sleep apnea (OSA) and poor sleep quality affect around one in ten people in India. We aimed to determine if OSA symptoms and poor sleep quality are independently associated with cognition in middle-aged and elderly urban Indian populations. METHODS: We studied the cross-sectional association between OSA symptoms (by Berlin Questionnaire), poor sleep quality (by Pittsburgh Sleep Quality Index), and cognitive function in adults ≥ 50 years. Using a standard neuropsychological battery for cognitive function, a G-factor was derived as the first rotated principal component assessing domains of information processing, memory, and executive function. The associations of exposures with cognitive measures were modeled using linear regression, adjusted for metabolic risk factors, lifestyle factors, and psychosocial problems, followed by stratified analysis by decadal age group. RESULTS: A total of 7505 adults were enrolled. Excluding those with MMSE < 26 (n 710), of 6795 individuals (49.2% women), mean (SD) age 64.2 (9.0) years, 38.3% had high risk of OSA symptoms, and 15.9% had poor sleep quality. OSA symptoms were negatively associated with cognitive domains of information processing (adjusted beta coefficient of z-score - 0.02, p-value 0.006), memory (- 0.03, 0.014), and G-factor (- 0.11, 0.014) in full-model. Stratified analysis by age group showed significant adverse effects of OSA symptoms on cognition for middle-aged people (50-60 years) (- 0.26, 0.001), but not in later age groups. Poor sleep quality was also associated with lower cognitive scores for G-factor (- 0.48, < 0.001), memory (- 0.08, 0.005), and executive domains (- 0.12, < 0.001), but not with information domain. CONCLUSION: The findings suggest that both symptoms of OSA and poor sleep quality have a direct adverse impact on cognition in an Indian setting. A modest effect of age on the relationship of OSA and cognition was also observed.

Screening for sleep apnoea risk in testosterone-treated transgender men.

Introduction: Obstructive sleep apnoea (OSA) is more prevalent in men. Several studies suggested that higher testosterone levels were associated with a greater risk of OSA. We aimed to determine whether testosterone administration in transgender men would accentuate symptoms of OSA. Methods: The study involved 94 adult people undergoing a female-to-male transition with testosterone administration. The participants answered the Berlin Questionnaire (BQ) and a separate question on snoring before starting testosterone treatment and after at least 1 year of being on testosterone treatment. Results: A higher proportion of participants at the follow-up answered positively to the first category of BQ devoted to snoring. A lower proportion of participants at follow-up answered positively to the second category of BQ devoted to tiredness. The percentage of subjects with a high risk of sleep apnoea, according to BQ, and of those who answered the question on snoring positively did not change significantly. Conclusion: An increased number of transgender men who reported snoring in BQ after testosterone administration indicate a higher risk of OSA development.

Obstructive Sleep Apnoea: A Shrouded High-Risk Association for Development of Hypertensive Disorders of Pregnancy.

Background: This objective of this study was to diagnose Obstructive Sleep Apnoea (OSA) in pregnant women using Questionnaire-based methods and to determine any association of Sleep-Disordered Breathing (SDB) with Hypertensive Disorder of Pregnancy (HDP). Additionally, the study aimed to identify factors associated with OSA. Methods: This case-control study was conducted in department of Obstetrics in tertiary care hospital in Delhi. We Identified SDB using Berlin Questionnaire and Modified Stop-Bang Questionnaire in 100 pregnant women with Hypertension and 100 normotensive controls. We compared the groups using appropriate statistical analysis. Results: The mean age of women with HDP (25.46 ± 4.38) was found to be slightly higher than controls (24.13 ± 3.89) (p value-0.02). Sleep apnoea as depicted by the presence of either high-risk STOP Bang or Berlin score was seen more often in hypertensive women in 45% as compared to controls in 8% (p value < 0.001). Higher pre-pregnancy weight (58.58 ± 9.77 vs. 53.0 ± 6.59), higher BMI (24.03 ± 5.89 vs. 20.68 ± 1.49), higher mean neck circumference (14.97 vs. 14.27 inches) weight gain more than 11 kg during pregnancy (55.6% vs. 38.2%) were the high-risk factors more commonly associated with SDB as seen in women with OSA in hypertensive women. On logistic regression analysis, the presence of OSA was singularly responsible for development of Hypertension (Odds Ratio-13.014, 95% CI 5.237-32.337) (p value < 0.001). Conclusion: Gestational hypertension appears to be strongly associated with the presence of obstructive sleep apnoea. The recognition and treatment of OSA during pregnancy may lead to improved outcomes.

High risk for obstructive sleep apnea and risk of hypertension in military personnel: The CHIEF sleep study.

BACKGROUND: Epidemiological studies have revealed an association between obstructive sleep apnea (OSA) and hypertension in the general population, while the association in military personnel was rarely investigated. AIM: To examine the association between high risk for OSA and hypertension by phenotypes in military young adults. METHODS: A total of 746 military personnel, aged 27.9 years, were included in the cardiorespiratory fitness and health in armed forces (CHIEF)-sleep study in Taiwan in 2020. Antihypertensive medications were not used by the subjects. High risk for OSA was assessed using the Berlin Questionnaire. Hypertension was defined using the 7th Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure (JNC 7) and the 2017 American College of Cardiology (ACC)/American Heart Association (AHA) guidelines. The cutoff levels of systolic and diastolic blood pressure (SBP and DBP) for the 2017 ACC/AHA- and JNC 7-based guidelines were 130/140 mmHg and 80/90 mmHg, respectively. Hypertension phenotypes included isolated systolic and diastolic hypertension (ISH, high SBP only and IDH, high DBP only) and combined hypertension (both high SBP and DBP). Multivariable logistic regression analysis with adjustment for demographics, lifestyle and metabolic biomarkers. RESULTS: The prevalence of high risk for OSA, JNC 7-based hypertension and 2017 ACC/AHA-based hypertension were 8.0%, 5.2% and 22.0%, respectively. Those with a high risk for OSA had a higher probability of JNC 7-based overall and combined hypertension (odds ratios (ORs) and 95% confidence intervals: 2.82 (1.07-7.42) and 7.54 (1.10-51.54), although the probabilities of ISH and IDH were unaffected by a high risk for OSA (ORs: 1.96 and 2.35, respectively, both P > 0.05). In contrast, no associations for any hypertension phenotypes were found according to the 2017 ACC/AHA criteria. CONCLUSION: A high risk for OSA was associated with severe hypertension and combined hypertension among Asian military young adults.

Identification of Patients at Risk of Obstructive Sleep Apnea in Dental Settings.

Objectives This study aims to assess the risk of obstructive sleep apnea (OSA) in the Saudi Arabian population at a dental hospital using the Berlin Questionnaire (BQ) and investigate the association of gender, age, neck circumference, systolic blood pressure (SBP), diastolic blood pressure (DBP), and smoking habits with the risk of OSA. Methodology Participants were recruited through random selection from walk-in patients aged between 18 and 80 years. BQ was used to screen for OSA. In addition, age, gender, smoking habits, neck circumference, and blood pressure were collected. Data were analyzed using descriptive statistics, Student's t-test, and chi-square test. Results In this study, 55 participants were screened for OSA using BQ. Of the participants, 44 (80%) were considered to be at low risk of OSA. Age, neck circumference, BMI, SBP, and DBP were statistically significantly associated with high risk of OSA (P < 0.05). Age and neck circumference were found to be statistically significant predictors of OSA, even after controlling for gender and smoking status (P < 0.05). Conclusions BQ is a reliable tool for assessing the risk of OSA in the Saudi Arabian population. Age, neck circumference, BMI, SBP, and DBP are all significant factors of OSA, while age and neck circumference are significant predictors of OSA. Dental practitioners can play a valuable role in the early detection and referral of patients at high risk of OSA.

Sleep disorders and work-related stress with oral hygiene among Indian shift workers.

Construction workers are mostly migrants from isolated villages and are not vigilant about health care measures besides poor language skills. Majority of the population works in shifts across the globe. As a result of poor sleep architecture, excessive sleepiness or insomnia, the construction labourers working in shifts have approximately twice the risk of OSA when compared with those working in the daytime. Likewise, the performance and the productivity of employees in construction sites are impeded by added stress. Therefore, it is of interest to investigate the sleep disorders, work-related stress and its impact on oral hygiene among the construction workers in Chennai. A cross sectional study was conducted among 518 workers in various construction sites at Chennai, South India. The study incorporated BerlinQuestionnaire to evaluate disordered breathing during sleep, the Work Ability Index that contains questions concerning work, working ability and health and the Oral Hygiene Index Simplified (Greene and Vermillion, 1964) that was used for recording the oral hygiene status. Pearson correlation between education and OHI-S was statistically significant (r=-0.108). Multiple linear regression analysis revealed that mean WAI score had a positive significant association with work experience (B=0.059, SE=0.030, p=0.05), habits (B=0.032, SE=0.017, p=0.05) and marital status (B=0.135, SE=0.54, p=0.01). In contrast, education (B=-0.0.052, SE=0.023, p=0.02) and work schedule (B=0.022, SE=0.037, p=0.54) were inversely associated with the mean score. Based on the current findings, it is imperative to restore work ability for those with poor work ability thereby enhancing productivity in the migrant workers. As shift work may be extremely detrimental to poor sleep quality, the employers should arrange shift schedules in accordance with sleep physiology. Additionally, dental awareness and interventions are required to improve oral hygiene among migrant workers.

Sex-Specific Associations of Obstructive Sleep Apnea Risk With Patient Characteristics and Functional Outcomes After Acute Myocardial Infarction: Evidence From the VIRGO Study.

Background Though associations between obstructive sleep apnea (OSA) and cardiovascular outcomes are well described, limited data exist regarding the impact of OSA on sex-specific outcomes after acute myocardial infarction (AMI). Methods and Results The VIRGO (Variation in Recovery: Role of Gender on Outcomes of Young AMI Patients) study enrolled 3572 adults aged 18 to 55 years with AMI from the United States and Spain during 2008 to 2012. We included patients for whom the Berlin Questionnaire for OSA was scored at the time of AMI admission (3141; 2105 women, 1036 men). We examined the sex-specific association between baseline OSA risk with functional outcomes including health status and depressive symptoms at 1 and 12 months after AMI. Among both groups, 49% of patients were at high risk for OSA (1040 women; 509 men), but only 4.7% (148) of patients had a diagnosed history of OSA. Though patients with a high OSA risk reported worse physical and mental health status and depression than low-risk patients in both sexes, the difference in these functional outcomes was wider in women than men. Moreover, women with a high OSA risk had worse health status, depression, and quality of life than high-risk men, both at baseline and at 1 and 12 months after AMI. Conclusions Young women with a high OSA risk have poorer health status and more depressive symptoms than men at the time of AMI, which may place them at higher risk of poorer health outcomes over the year following the AMI. Further, the majority of patients at high risk of OSA are undiagnosed at the time of presentation of AMI.

BASET scoring: A novel simple biometric score for screening and grading obstructive sleep apnea.

Background: Polysomnography (PSG) is the gold-standard diagnostic tool for Obstructive Sleep Apnea (OSA). However, the availability of PSG is limited, and OSA is widely underdiagnosed; more than 80% of most developed nations undiagnosed. There is no diagnostic validated simple tool with clear cutoff point for predicting and roll out patient with OSA in primary care clinics significantly alters clinical outcomes. Objectives: Our study aimed to assess the validity of BASET scoring as a new potential tool for screening and grading the severity of OSA patients. Methods: After institution review board approval and formal patient consent, 144 subjects for suspected OSA and their relatives were enrolled. All subjects were subjected to a full night PSG study after history taking, sleep questionnaires, and physical examination, including BASET score components: B= Body Mass Index (BMI), A= Abdominal circumference (AC), S = Snoring, E= Epworth Sleepiness Scale, and T= Tongue teeth imprint. ROC analysis that used to assess the optimal cutoff point of the BASET score and to compare its accuracy for predicting OSA with Berlin and STOP-Bang scores. Results: This study included 63 OSAS patients, 33 (52.38%) males and 30 (47.62%) females, and 81 controls; 22 (27.16%) males and 50 (72.84%) females. The Cronbach's alpha for the 5 BASET score components was 0.846, indicating the internal consistency reliability of the scale. Moreover, BASET score has a moderately strong positive significant correlation (r = 0.778, p<0.001) with AHI. By ROC analysis, the accuracy of the three measures was generally high, with BASET score predicting OSA most accurately (AUC=0.984, 95%CI: 0.956-0.999), followed by STOP-Bang (AUC=0.939, 95%CI: (0.887-0.972) and Berlin (AUC=0.901, 95%CI: 0.841-0.945). The AUC of BASET score was significantly higher compared to the Berlin score (difference= 0.0825, 95%CI: 0.039-0.125) and STOP-Bang score (difference= 0.0447, 95%CI: 0.011-0.078). On the other hand, there was no difference between the AUC of Berlin and STOP-Bang scores (difference=0.0378, 95%CI: 0.006 - 0.081 4). BASET score was significantly (p<0.001) associated with OSA grades. Conclusion: BASET score is a convenient, reliable, and valid tool for diagnosing OSA. BASET score is more accurate for predicting OSA than Berlin and STOP-Bang scores, while there is no difference between Berlin and STOP-Bang scores. BASET score indicates OSA grades. Registration of clinical trials by number: NCT05511974. Name of the registry: ClinicalTrials.gov URL: https://clinicaltrials.gov/.

Validity and reliability of the Berlin questionnaire for the detection of moderate or severe obstructive sleep apnea in patients aged 40 years or older detected from primary care.

Background: The obstructive sleep apnea syndrome (OSA) is a highly prevalent condition. In Spain and other countries, only 5%-9% of patients with OSA have been diagnosed and treated. The lack of accessibility to diagnosis is considered the main cause of this situation through easy-to-use screening instruments, it is necessary to check their validity and reliability in the context where they are to be used. Objective: To validate the Spanish translation of the Berlin questionnaire for screening for moderate or severe OSA in patients aged 40 years or more detected in primary care. Methods: A descriptive observational study, with a first qualitative phase of transcultural adaptation to Spanish using the translation-back-translation method. Setting: primary care level of the Spanish National Health System. A total of 255 patients recruited from 7 healthcare centers completed the study. The Berlin questionnaire was administered to the recruited patients, and subsequently, a respiratory polygraphy was performed to confirm the diagnosis of OSA. The concurrent criterion validity of the questionnaire and its reliability in terms of internal consistency and reproducibility (intra-observer agreement) were analyzed. Results: The patients' mean age was 54.76 years (SD: 6.57; 95% CI: 53.53-54.99), and 54.12% were men (95% CI: 47.96-60.27). We found that 61.57% (95% CI: 55.57-67.57) presented OSA (apnea-hypopnea index-AHI >5), and 45.5% (95% CI: 17.05-57.92) presented moderate or severe (AHI >15) OSA. The Berlin questionnaire, with a cut-off point of 4.5, showed a sensitivity of 76.77% (95% CI: 67.94-85.59), a specificity of 74.49% (95% CI: 65.35-83.63), a positive predictive value of 75.25% (95% CI: 66.34-84.16), a negative predictive value of 76.04% (95% CI: 66.98-85.10), and an area under the curve of 0.786 (95% CI: 0.721-0.851). Cronbach's alpha coefficient was 0.730 (95% CI: 0.668-0.784), and the Kappa index was 0.739 (95% CI, 0.384-1.000). Conclusion: The Spanish adaptation of the Berlin questionnaire has good validity and reliability as a test for the diagnostic screening of moderate or severe OSA in patients aged 40 years or older. The findings of our study confirm that primary care physicians should use such screening tools to predict OSA.

Association between obstructive sleep apnea and gastroesophageal reflux disease: A systematic review and meta-analysis.

BACKGROUND AND AIM: We aim to conduct a systematic review and determine the association between obstructive sleep apnea (OSA) and gastroesophageal reflux disease (GERD). METHODS: Literature search for eligible studies was performed across major databases. The main endpoint was to assess the association between GERD and OSA. Subgroup analyses were performed to determine this strength of the association stratified by the diagnostic tools used for OSA (nocturnal polysomnogram or Berlin questionnaire) and GERD (validated reflux questionnaire or esophagogastroduodenoscopy). We also compared sleep efficiency, apnea hypopnea index, oxygen desaturation index, and Epworth Sleepiness Scale in OSA patients with or without GERD. Results were pooled together using Reviewer Manager 5.4. RESULTS: Six studies involving 2950 patients with either GERD or OSA were included in the pooled analysis. Our findings suggest that there was a statistically significant unidirectional association between GERD and OSA (odds ratio [OR] = 1.53, P = 0.0001). Subgroup analyses redemonstrated an OSA-GERD association irrespective of the tools used for diagnosing either GERD or OSA (P = 0.24 and P = 0.82, respectively). Sensitivity analyses demonstrated the same association after controlling for gender (OR = 1.63), BMI (OR = 1.81), smoking (OR = 1.45), and alcohol consumption (OR = 1.79). In patients with OSA, there were no statistically significant differences between patients with or without GERD in terms of apnea hypopnea index (P = 0.30), sleep efficiency (P = 0.67), oxygen desaturation index (P = 0.39), and Epworth Sleepiness Scale (P = 0.07). CONCLUSION: There exists an association between OSA and GERD that is independent of the modalities used for screening or diagnosing both disorders. However, the presence of GERD did not affect the severity of OSA.

Validation of the Modified Berlin Questionnaire for the Diagnosis of Obstructive Sleep Apnea in Patients with a History of COVID-19 Infection.

(1) Background: The Berlin questionnaire (BQ) is a widely used survey to predict obstructive sleep apnea (OSA). Considering the confounding effect of obesity and hypertension on the clinical course of COVID-19, we have recently developed a modified BQ (mBQ) based on the subscales snoring intensity/frequency, witnessed apneas and morning/daytime tiredness, and demonstrated that patients with high-risk OSA had worse outcomes during the COVID-19 pandemic. In the current study, we aimed to validate the mBQ in adults with a history of COVID-19 infection. (2) Method: All cases who suffered from COVID-19 infection between 10 March and 22 June 2020, and who completed the mBQ in our first study, were invited to participate. Participants refilled the questionnaires, and an attended polysomnography (PSG) was conducted. An apnea-hypopnea index (AHI) of 15 events/h or more was considered as OSA. (3) Results: Out of the 70 participants, 27 (39%) were categorized as having a high risk of OSA based on the mBQ. According to the PSG results, 24 patients with high-risk OSA (89%) and 3 patients with low-risk OSA on the mBQ (7%) had AHI ≥ 15 events/h. The mBQ had a sensitivity of 89%, a specificity of 93%, a positive predictive value of 89%, a negative predictive value of 93%, and an accuracy of 91%. The area under the curve was 0.91 confirming a very good performance of the mBQ in screening for OSA. (4) Conclusions: The mBQ has a good level of diagnostic sensitivity, specificity, and accuracy among adults with a history of COVID-19 infection. Since the confounding effects of obesity and hypertension are eliminated, the mBQ may be used not only as a screening tool for high-risk OSA but also as a prognostic survey in clinical cohorts.

Dysphagia and obstructive sleep apnoea in post-extubated intensive care unit patients.

OBJECTIVE: To determine the relationship between dysphagia and obstructive sleep apnoea and its association with age, gender and Glasgow Coma Scale in post-extubated patients in an intensive care setting. METHODS: The correlational study was conducted from July 1 to October 31, 2021, at the intensive care unit of Evercare Hospital, Lahore, Pakistan, and comprised post-extubated patients of either ender aged 45-70 years within 72 hours following extubation and having Glasgow comma scale score 11-15. Gugging Swallowing Screen and Obstructive Sleep Apnoea questionnaires were used for data collection. Data was analysed using SPSS 25. RESULTS: Of the 29 patients with a mean age of 57.45±8.74 years, 18(62.1%) were males. There was a significant correlation between dysphagia and obstructive sleep apnoea (p=0.005). The Obstructive Sleep apnoea score had a significant negative correlation with Glasgow Coma Scale score (p=0.01), while dysphagia revealed a significant positive correlation (p<0.001) with Glasgow Coma Scale score. Age and gender had no significant association with either dysphagia or obstructive sleep apnoea (p>0.05). CONCLUSIONS: There was a significant correlation between dysphagia and obstructive sleep apnoea in post-extubated patients under intensive care. Both dysphagia and obstructive sleep apnoea had a significant correlation with Glasgow Coma Scale score.

Sleep habits and problems across gestational progress in Japanese women.

BACKGROUND: Pregnancy-related anatomic, physiologic, and hormonal factors can occur at different stages of pregnancy and affect sleep disturbances. Sleep problems and habits among Japanese women across gestational stages have not been described. This study aimed to elucidate sleep problems, including a high risk of sleep-disordered breathing and sleep habits, among Japanese women across gestational progress, including postpartum. METHODS: A questionnaire survey using the Pittsburgh Sleep Quality Index (PSQI) and Berlin Questionnaire was conducted for 683 pregnant women (223 in the second trimester, 453 in the third trimester) and 386 postpartum (within 1 week after delivery). RESULTS: The total PSQI score was 5.3 [2.6] in the second trimester, 6.1 [2.8] in the third trimester, and 6.8 [3.1] in the first week postpartum. The percentage of those at high risk for sleep-disordered breathing, as determined by the Berlin Questionnaire, was 11.8% in the second trimester, 21.3% in the third trimester, and 19.2% in the first week postpartum, with the highest percentage of those at high risk in the third trimester of pregnancy. CONCLUSION: The PSQI total score exceeded the cut-off value in the third trimester and the first week postpartum, suggesting sleep deterioration. Therefore, it is necessary to understand and support sleep in pregnant women to ensure safe delivery, postpartum recovery, and health.

Poor sleep quality and erectile dysfunction in students from a Peruvian University: A cross-sectional study.

Objective: We aimed to evaluate the association between sleep quality and erectile dysfunction in young university students. Methods: A cross-sectional survey was conducted in men aged 18-30 years from Universidad Ricardo Palma, Lima, Peru. The survey comprised the International Index of Erectile Function, Pittsburgh Sleep Quality Index, Berlin questionnaire, and questions related to sociodemographic data. Prevalence ratios were estimated with generalized linear models. Results: Of 381 participants, the median age was 23 years. Half of the students (50.9%) had poor sleep quality, of which 72.7% had mild erectile dysfunction and 20.6% mild to moderate dysfunction. Prevalence of erectile dysfunction was significantly higher in students with poor sleep quality than in students with good sleep quality (aPR = 6.48; 95% CI: 4.58-9.17) after adjusting for age, academic year, nutritional status, and sleep apnea. In a subsequent exploratory analysis, sleep apnea was associated with a higher prevalence of erectile dysfunction (aPR = 1.19; 95% CI: 1.01-1.39), while overweight (aPR = 0.85; 95% CI: 0.76-0.95) and obesity (aPR = 0.65; 95% CI: 0.52-0.82) were associated with a lower prevalence of this condition. Conclusion: Poor sleep quality was independently associated with erectile dysfunction in young university students. This finding suggests that male students are at risk for sexual problems due to possible academic demands and relationship issues.

Symptoms and Risk of Obstructive Sleep Apnea in Patients Attending Primary Health Care Clinics in Riyadh, Saudi Arabia.

Background Obstructive sleep apnea (OSA) is a breathing disorder that occurs while sleeping, characterized by periods of partial or complete airway collapse associated with a drop in oxygen saturation or arousal from sleep. OSA is associated with significant health consequences, including hypertension, obesity, coronary artery disease, metabolic dysfunction, cognitive decline, and cancer progression. Methods A cross-sectional study was conducted at the four primary healthcare centers in the Ministry of National Guards Health Affairs (MNGHA) in Riyadh, Saudi Arabia. The study included every adult 18- 65 years old. After informed consent was obtained, interviews were conducted using the Berlin questionnaire (BQ) to assess participants' prevalence and risk (OSA). SAS software version 9.4 was used to enter and analyze the data.  Results A total of 400 primary care attendants were approached. The overall prevalence of high-risk apnea was 21%. There was a significant difference in the high risk of apnea between a BMI greater than 30 and a BMI lower than 30 (p< 0.0001). There was a significant difference in the high risk of apnea between hypertension and normal blood pressure (p< 0.0001). Conclusion The BQ assessed the predictive factors related to the development and prevalence of OSA and showed a predominance in those with a BMI over 30 Kg/m2 or with a previous diagnosis of hypertension with no significant related risk among gender and age factors.

Establishment and evaluation of a risk prediction model for severe obstructive sleep apnea / 西安交通大学学报(医学版)

【Objective】 To construct a prediction model of severe obstructive sleep apnea (OSA) risk in the general population by using nomogram in order to explore the independent risk factors of severe OSA and guide the early diagnosis and treatment. 【Methods】 We retrospectively enrolled patients who had been diagnosed by polysomnography and divided them into training and validation sets at the ratio of 7∶3. Patients were divided into severe OSA group and non-severe OSA group according to apnea hypopnea index (AHI)>30. Variables entering the model were identified by least absolute shrinkage and selection operator regression model (Lasso), and logistic regression (LR) method. Then, multivariable logistic regression analysis was used to establish the nomogram, and the area under the receiver operating characteristic curve (AUC) was used to evaluate the discriminative properties of the nomogram model. Finally, we conducted decision curve analysis (DCA) of nomogram model, STOP-Bang questionnaire and Berlin questionnaire to assess clinical utility. 【Results】 Through single factor and multiple factor logistic regression analyses, the independent risk factors for severe OSA were screened out, including moderate and severe sleepiness, family history of hypertension, history of smoking, drinking, snoring, history of suffocation, sedentary lifestyle, male, age, body mass index (BMI), waist and neck circumference. Lasso logistic regression identified smoke, suffocation time, snoring time, waistline, Epworth sleepiness scale (ESS) and BMI as predictive factors for inclusion in the nomogram. The AUC of the model was 0.795 [95% confidence interval (CI): 0.769-0.820] . Hosmer-Lemeshow test indicated that the model was well calibrated (χ2=3.942, P=0.862). The DCA results on the visual basis confirmed that the nomogram had superior overall net benefits within a wide, practical threshold probability range which displayed the nomogram was higher than that of STOP-Bang questionnaire and Berlin questionnaire, which is clinically useful. The Clinical Impact Curve (CIC) analysis showed the clinical effectiveness of the prediction model when the threshold probability was greater than 82% of the predicted score probability value. The prediction model determined that the high-risk population with severe OSA was highly matched with the actual population with severe OSA, which confirmed the high clinical effectiveness of the prediction model. 【Conclusion】 The model performed better than STOP-Bang questionnaire and Berlin questionnaire in predicting severe OSA and can be applied to screening. And it can be helpful to the early diagnosis and treatment of OSA in order to reduce social burden.