High Risk For Obstructive Sleep Apnea Research Articles

Prevalence of patients at risk for developing obstructive sleep apneabased on the STOP-BANG questionnaire at King Abdulaziz University Facultyof Dentistry.

Obstructive sleep apnea (OSA) is a common sleep disorder. Its susceptibility can easily be detected when it is at an early stage as can patients who are at risk of OSA. A simple questionnaire such as STOP-BANG (SB) can facilitate early detection. Our study aims to assess the risk of OSA and evaluate its correlating risk factors in patients attending King Abdulaziz University Faculty of Dentistry (KAUFD), Jeddah, Saudi Arabia, using the SBquestionnaire. Ethical approval was obtained. A random sample of patients ages 18-80 years, who visited KAUFD between November 2016 and April 2017 were recruited. Three highly trained and calibrated dental interns obtained the following measurements (weight, height, blood pressure, and neck circumference) and administered the questionnaire in a face-to-face interview. A total of 55 patients (62% females) participated in the study with a mean age of 34.6 years and hypertension reported as16.4%. According to the SB, 31% of patients were found at high risk of OSA. Large neck circumference (40.22[±4.7] cm) and gender (66% males) were found to be significantly correlated with high-risk patients; p < .001. Approximately one third of the patients were at high risk of OSA, with men and patients havinglarge neck circumference being significantly more affected. Systolic blood pressure, hypertension, and smoking were found to be high in high-risk patients. However, they were not statistically and significantly different from those patients who were not in high risk. The role of a dentist should be to utilizethe questionnaire to detect any patient at risk of OSA and refer them accordingly.

O052 Association of co-morbid insomnia and sleep apnoea (COMISA) symptoms with all-cause mortality: Analysis of the NHANES 2005-2008 data

Abstract Introduction Co-morbid insomnia and sleep apnoea (COMISA) is a highly prevalent condition associated with negative health outcomes. This population-based study aimed to investigate the association between COMISA and all-cause mortality. Methods Sleep data in 6,877 participants (Age median [IQR]=45 [33,57], 50.1% male) were drawn from the National Health and Nutrition Examination Survey (2005-2008). Insomnia was defined as difficulties initiating sleep, long awakenings, and/or early morning awakenings on ≥16 nights/month, with daytime impairment. The STOP-Bang questionnaire was used to identify participants at high risk of obstructive sleep apnoea (OSA). COMISA was defined if participants met criteria for insomnia and high risk of OSA. The median (IQR) follow-up for mortality was 8.6 (7.8, 9.8) years. Cox regression models were used to determine the association between COMISA and all-cause mortality, controlling for socio-demographic characteristics, behavioural factors and chronic conditions. Results The prevalence of no insomnia/OSA, insomnia-alone, OSA-alone, and COMISA were 73.5, 3.0, 20.1, and 3.3%, respectively, and 6.7% of participants died by 11-year follow-up. Compared to participants with no insomnia/OSA, higher mortality risk was observed in participants with COMISA (HR=1.9; 95%CI=1.3-2.8) and insomnia alone (HR=1.5; 95%CI=1.0-2.3) after adjusting for socio-demographic characteristics, and behavioural factors. The relationship between COMISA and mortality persisted after additionally controlling for chronic conditions, sleep duration and sleeping pill use (HR=1.6; 95%CI=1.1-2.3), but the relationship between insomnia-alone and mortality did not (HR=1.4; 95%CI=0.9-2.3). Discussion Co-morbid insomnia and high-risk OSA is associated with increased risk of all-cause mortality. More research is needed to identify effective treatments for COMISA.

P059 Respiratory control stability in posttraumatic stress disorder

Abstract Rationale A recent meta-analysis indicated that 75.7% of individuals with posttraumatic stress disorder (PTSD) also suffer from obstructive sleep apnoea (OSA). The reason for the high prevalence of OSA in PTSD is currently unknown. This study investigated whether respiratory control stability (which is known to contribute to OSA in the general population) varies with PTSD symptoms. Methods First year University students were recruited and completed an online questionnaire battery including: Life Events Checklist (LEC), PTSD checklist for DSM-5 (PCL-5), Shortness of Breath Questionnaire (SOBQ) and Berlin Sleep Questionnaire. 1/3 of participants timed their maximum breath hold (performed at functional residual capacity) at home on 3 occasions using a stopwatch as per Messieno et al (2018). Results 313 complete survey responses were obtained. The mean age of participants was 19.9 years and 214 respondents were women. 19 participants were at high risk of OSA based (Berlin Questionnaire) and 80 had probable PTSD (LEC items 1-16 “happened to me” or “witnessed it” plus PCL-5&amp;gt;33). In the whole sample, there was a significant relationship between PTSD symptoms and Shortness of Breath (Pearson p&amp;lt;0.001, r2=0.2). There was no relationship between PTSD symptoms and at-home measured maximum breath-hold duration (n=107, p=0.44, r2=0.006). Conclusions In an unselected University student population, posttraumatic stress disorder symptoms are associated with self-reported shortness of breath during everyday activities. However, there was no evidence of a relationship between a surrogate of respiratory control stability (maximum breath-hold duration) and PTSD symptoms.

To screen for obstructive sleep apnea in patients with type 2 diabetes mellitus and its association with microvascular complications

Objectives: The objectives of this study were to find the association between obstructive sleep apnea (OSA) and microvascualr complications in patients with type 2 diabetes mellitus (T2DM). Material and Methods: This study was conducted at Bangalore Medical College. One hundred patients fulfilling the inclusion criteria were enrolled for the study. The study group included outpatients and inpatients with T2DM in Victoria Hospital and Bowring and Lady Curzon Hospital. The data were collected according to the pro forma in terms of history, clinical examination, and the necessary investigations (HbA1c and urine microalbumincreatinine ratio). To screen for OSA, STOP-BANG questionnaire was used. To assess microvascular complications, patients were subjected to fundoscopy, urine microalbumin-creatinine ratio, and Toronto clinical neuropathy scoring system. Based on STOP-BANG score, patients were divided into three groups: Low risk (0–2), intermediate risk (3–4), and high risk (5–8) for OSA. Mean values for the duration of diabetes, HbA1c, urine microalbumincreatinine ratio, and Toronto neuropathy score were compared in each group using ANOVA variance analysis. To find the association between OSA and diabetic retinopathy, Kruskal–Wallis test was used. Results: Based on STOP-BANG score, 16% of patients were in the low-risk group, 68% in the intermediate-risk group, and 16% in the high-risk group. There was a significant difference in Toronto neuropathy scores, urine microalbumin-creatinine ratio, and diabetic retinopathy between low-, intermediate-, and high-risk OSA groups indicating higher neuropathy scores, higher values of UMCR, and more advanced diabetic retinopathy among the high-risk group as compared to other two groups. The association between STOP-BANG scores and UMCR, Toronto neuropathy score, and diabetic retinopathy was statistically significant with P values of 0.002, 0.029, and 0.03, respectively. Conclusion: All diabetic patients should be screened for OSA which is simple and inexpensive. Those who fall in intermediate-risk and high-risk categories showed more advanced microvascular complications. They should be subjected to polysomnography and treated for OSA for better glycemic control and to delay the progression of microvascular complications.

The comorbidity burden and disease phenotype in pre-capillary pulmonary hypertension: The contributing role of obstructive sleep apnea

BackgroundPre-capillary pulmonary hypertension (PH) with risk factors for left ventricular diastolic dysfunction, described as an atypical phenotype of “mixed” pre- and post-capillary PH, has become a research focus. However, the relationship between obstructive sleep apnea (OSA), a known risk factor for cardiometabolic conditions, and comorbidity burden and disease phenotype in PH remains unclear. ObjectiveThis study aimed to investigate the effect of the presence and severity of OSA on the left ventricular function, comorbidity burden and disease phenotype in pre-capillary PH patients. Methods and resultsWe retrospectively examined 450 consecutive pre-capillary PH patients undergoing cardiorespiratory polygraphy and right heart catheterization between May 2020 to November 2021 at Fuwai Hospital. The prevalence of OSA was 34.2%, and the presence and severity of OSA in pre-capillary PH patients was associated with increased left heart mass index (P < 0.001), pulmonary arterial wedge pressure (P = 0.06) and H2FPEF score (P < 0.001). After adjustment for confounding factors, the severity of OSA measured as apnea-hypopnea index (AHI) was an independent risk factor associated with obesity, systemic hypertension, diabetes mellitus and an atypical phenotype (OR: 1.054, P = 0.004) in pre-capillary PH. A dose-response relationship was also identified between sleep parameters (AHI, oxygen desaturation index, the percentage of sleep time with oxygen saturation<80%) and the number of key comorbidities. Patients with ≥3 comorbidities (atypical phenotype) were older, experienced negative alterations in left ventricular structure and function, and were at a higher risk of OSA. ConclusionOSA is relatively prevalent in pre-capillary PH patients, independently associated with the presence of a variety of comorbidities and the atypical phenotype of PH. These findings highlight the importance of OSA as a modifiable target for optimal treatment in PH with comorbidities.

Consumer-Led Screening for AtrialFibrillation: A Report From the mAFA-II Trial Long-Term Extension Cohort.

There are limited data on mobile health detection of prevalent atrial fibrillation (AF) and its related risk factors over time. This study aimed to report the trends on prevalent AF detection over time and risk factors, with a consumer-led photoplethysmography screening approach. 3,499,461 subjects aged over 18 years, who use smart devices (Huawei Technologies Co.) were enrolled between October 26, 2018, and December 1,2021. Among 2,852,217 subjects for AF screening, 12,244 subjects (0.43%; 83.2% male, mean age 57 ± 15 years) detected AF episodes. When compared with 2018, the risk (adjusted HRs, 95%CI) for monitored prevalent AF increased significantly for subjects when monitoring started in 2020 (adjusted HR: 1.34; 95%CI: 1.27-1.40; P< .001) or in 2021 (adjusted HR: 1.67; 95%CI: 1.59-1.76; P< 0.001). Of the 961,931 subjects who screening for both AF and OSA, 18,032 (1.9%, 97.8% male, mean age 44 ±17 years) were identified as high risk for OSA, which resulted in a 1.5-fold increase (95%CI: 1.30-fold to 1.75-fold) in the prevalent AF. A total of 5,227 (53.3%, 5,227/9,797) subjects were effectively followed up, from which 4,903 (93.8%, 4,903/5,227) subjects were confirmed with the diagnosis of AF, by the mAFA Telecare Team health providers. Photoplethysmography-based smart devices can facilitate screening for AF with >93% confirmation of detected AF episodes even for the low-risk general population, highlighting the increased risk for detecting prevalent AF and the need for modification of OSA that increase AF susceptibility. (Mobile Health [mHealth] Technology for Improved Screening, Patient Involvement and Optimizing Integrated Care in Atrial Fibrillation [mAFA (mAF-App) II study]; ChiCTR-OOC-17014138).

Obstructive sleep apnea risk and its associated factors among type 2 diabetes mellitus patients at wolkite university specialized hospital, Wolkite, Southern Ethiopia, 2021. A comparative cross-sectional study

BackgroundObstructive sleep apnea is a syndrome characterized by recurrent partial, or complete upper airway collapse during sleep. Although obstructive sleep apnea is common in type 2 diabetes mellitus, the majority of patients remain undiagnosed because of the prohibitive cost of the test and paucity of the sleep clinic, especially in developing nations. The study aimed to assess high-risk obstructive sleep apnea and its associated factors among type 2 diabetes mellitus patients at Wolkite University Specialized Hospital.MethodsA Hospital-based comparative cross-sectional study was employed from October 15 to December 5, 2021, among 204 participants. Data collection was done by semi-structured interviewer-administered questionnaires. Data was entered into the Epi data version 4.6 and exported to SPSS version 25.0 for analysis. Independent t-test and chi-square test were used to compare continuous and categorical variables accordingly. Binary and multiple logistic regression analysis was used to assess factors associated with high-risk obstructive sleep apnea. Statistical significance was set at P-value < 0.05.ResultsA total of 204 participants with an equal proportion of the two groups were included with a 100% response rate. About 56.9% of the participants were males. The mean age of type 2 diabetes mellitus patients was 57.1 (± 12.0) years and the non-diabetic group was 55.3 (± 10.9) years. The prevalence of high-risk obstructive sleep apnea among type 2 diabetes mellitus was 42.2%, and that of non-diabetics was 13.7% (p < 0.001). Age (AOR: 1.13; 95%CI: 1.04, 1.22), neck grasp (AOR: 6.48; 95%CI: 1.56, 26.96), waist circumference (AOR: 4.44; 95%CI: 1.12, 17.61) and the presence of diabetes-related complications (AOR: 4.18; 95%CI: 1.13, 15.43) were independently associated with high-risk obstructive sleep apnea among type 2 diabetes mellitus patients.ConclusionThe prevalence of high-risk obstructive sleep apnea among type 2 diabetes mellitus was higher with a significant difference from their comparison group. Age, neck grasp, waist circumference, and diabetes-related complications were significantly associated with high-risk obstructive sleep apnea among type 2 diabetes mellitus patients. Therefore, type 2 diabetes mellitus patients should be screened for obstructive sleep apnea in the early course of their follow-up to take preventive measures and early treatments.

Relationship between sleep disorders and the prognosis of neurological function after stroke.

This study aims to investigate the effects of sleep disorders on the prognosis of neurological function after stroke and other factors affecting the prognosis after stroke. We designed a cohort study. A total of 1,542 patients with their first stroke were hospitalized in the department of neurology of Tianjin Huanhu Hospital from 2015.6.1 to 2016.12.31. We recorded the personal histories of patients. The MMSE (mini-mental state examination), MoCA (Montreal Cognitive Assessment), HAMD (Hamilton Depression Scale), National Institutes of Health Stroke Scale (NIHSS) score, mRS (Modified Rankin Scale), BI (Barthel Index), PSQI (Pittsburgh Sleep Quality Index), ESS (Epworth Sleepiness Scale), Berlin questionnaire, and nocturnal TST (Total sleep time) were assessed before discharge, 3 months, 6 months, and 4 years (2019-2020) after stroke. Low sleep quality (OR 2.019, 95%CI 1.199-3.398, p = 0.008), nocturnal TST (<7 h) (OR 4.060, 95%CI 1.494-11.034, p = 0.006), nocturnal TST (>8 h) (OR 5.928, 95% CI 2.134-16.464, p = 0.001) were risk factors for poor neurological function recovery at 3 months after stroke. Nocturnal TST (<7 h) (OR 13.042, 95%-CI 2.576-66.027, p = 0.002) and nocturnal TST (>8 h) (OR 11.559, 95%-CI 2.108-63.390, p = 0.005) were risk factors for poor neurological function at 6 months after stroke. Nocturnal TST (<7 h) (OR 2.668, 95% CI 1.250-5.698, p = 0.011) and nocturnal TST (>8 h) (OR 2.516, 95% CI 1.080-5.861, p = 0.033) were risk factors for poor neurological function at 4 years after stroke. High risk of OSA (HR 1.582, 95%CI 1.244-2.012, p < 0.001) was a risk factor for all-cause death in patients followed up for 4 years after stroke. Low sleep quality is associated with short-term poor neurological function after stroke. Unusual nocturnal TST (long or short) is associated with short-term or long-term poor neurological function after stroke. A high risk of OSA is associated with a higher risk of all-cause death after stroke.

Causal associations between obstructive sleep apnea and COVID-19: A bidirectional Mendelian randomization study

BackgroundsThe COVID-19 pandemic has caused significant impact on human health. Whether obstructive sleep apnea (OSA) increases the risk of COVID-19 remains unclear. We sought to clarify this issue using two-sample Mendelian randomization (TSMR) analysis in large cohorts. MethodsBidirectional two-sample Mendelian randomization (MR) was used to evaluate the potential causality between OSA and COVID-19 by selecting single-nucleotide polymorphisms (SNPs) as instrumental variables (IVs) from genome-wide association studies (GWAS). The inverse-variance weighted (IVW) method was selected as the main approach for data analysis to estimate the possible causal effects. Alternative methods such as MR-Egger, the MR pleiotropy residual sum and outlier (MR-PRESSO), and leave-one-out analysis methods were implemented as sensitivity analysis approaches to ensure the robustness of the results. ResultsAll forward MR analyses consistently indicated the absence of a causal relationship between OSA and any COVID-19 phenotype. In the reverse MR analysis, the IVW mode demonstrated that severe respiratory confirmed COVID-19 was correlated with a 4.9% higher risk of OSA (OR, 1.049; 95%CI, 1.018–1.081; P = 0.002), consistent in MR-PRESSO (OR = 1.049, 95%CI 1.018–1.081, P = 0.004), weighted median (OR = 1.048, 95%CI 1.003–1.095, P = 0.035), and MR-Egger (OR = 1.083, 95%CI 1.012–1.190, P = 0.041) methods. ConclusionsThere is no significant evidence supporting a causal association between OSA and any COVID phenotype, while we identified potential evidence for a causal effect of severe COVID-19 on an increased risk of OSA.

Midazolam versus Dexmedetomidine in Patients at Risk of Obstructive Sleep Apnea during Urology Procedures: A Randomized Controlled Trial.

Benzodiazepines are the most commonly used sedatives for the reduction of patient anxiety. However, they have adverse intraoperative effects, especially in obstructive sleep apnea (OSA) patients. This study aimed to compare dexmedetomidine (DEX) and midazolam (MDZ) sedation considering intraoperative complications during transurethral resections of the bladder and prostate regarding the risk for OSA. This study was a blinded randomized clinical trial, which included 115 adult patients with a mean age of 65 undergoing urological procedures. Patients were divided into four groups regarding OSA risk (low to medium and high) and choice of either MDZ or DEX. The doses were titrated to reach a Ramsay sedation scale score of 4/5. The intraoperative complications were recorded. Incidence rates of desaturations (44% vs. 12.7%, p = 0.0001), snoring (76% vs. 49%, p = 0.0008), restlessness (26.7% vs. 1.8%, p = 0.0044), and coughing (42.1% vs. 14.5%, p = 0.0001) were higher in the MDZ group compared with DEX, independently of OSA risk. Having a high risk for OSA increased the incidence rates of desaturation (51.2% vs. 15.7%, p < 0.0001) and snoring (90% vs. 47.1%, p < 0.0001), regardless of the sedative choice. DEX produced fewer intraoperative complications over MDZ during sedation in both low to medium risk and high-risk OSA patients.

INTERMITTENT HEART BLOCK IN OSA

INTERMITTENT HEART BLOCK IN OSA

Association of Dietary Behaviors with Poor Sleep Quality and Increased Risk of Obstructive Sleep Apnea in Korean Military Service Members.

PurposeSleep quality among military service members is important for enhancing their capabilities and preventing psychiatric problems. We aimed to explore the association of dietary behaviors with poor sleep quality and increased risk of obstructive sleep apnea (OSA) in military men on active duty.Patients and MethodsA large-scale multi-site cross-sectional survey was conducted in five units of the Republic of Korea’s army. Poor sleep quality and increased risk of OSA were defined using the Pittsburgh sleep quality index (PSQI) and Berlin Questionnaire, respectively. Information on dietary behaviors, including the frequency of skipping breakfast, eating snacks, consuming a night meal, and overeating, were collected.ResultsFrom August 2021 to September 2021, 4389 male respondents, mean age (20.8 ± 1.3 years), completed the survey; 2579 (58.8%) were assessed as having poor sleep quality, and 614 (14.0%) increased risk of OSA. After adjusting for lifestyle and occupational covariates, skipping breakfast 1–2 times weekly was associated with an increased likelihood of experiencing poor sleep quality, compared with not skipping breakfast (odds ratio: 1.23 [95% CI 1.02–1.47]). Eating night meals 5–6 times weekly was also associated with poor sleep quality (odds ratio: 5.54 [95% CI 2.49–14.18]). In addition, skipping breakfast daily (odds ratio: 2.28 [95% CI 1.27–4.03]) and eating night meals daily (odds ratio: 2.30 [95% CI 1.21–4.22]) were related to an increased risk of OSA.ConclusionDietary behaviors appear to be related to poor sleep quality and a high risk of OSA. To improve sleep quality, dietary factors could be considered when promoting health programs for military personnel in further research.

Relationship of obstructive sleep apnea with major depressive disorder and development of metabolic syndrome.

Major depressive disorder (MDD) is often linked with a number of coexisting disorders with a relation that is poorly understood. The aim of this study was to find out the role of obstructive sleep apnea (OSA) in metabolic syndrome (MS) in subjects with MDD and to develop a model for factors leading to MS. It was a cross-sectional study conducted on 119 subjects. They were evaluated on sociodemographic and clinical parameters, Berlin questionnaire, and Quick Inventory of Depressive Symptomatology. Comparisons were made using appropriate statistics. Binary logistic regression was used to find out the role of clinical parameters in the development of MS. A total of 34% with MDD had a high risk of developing OSA while 19% had metabolic syndrome. Among all clinical variables, antidepressant exposure in terms of total fluoxetine units, duration of treatment, and risk of developing OSA was found to be significantly more in patients with MS. A higher risk of OSA was found to have a higher likelihood to cause MS in patients with MDD. There is a high risk of MS and OSA in subjects with MDD. The increased risk of MS is contributed by an increased risk of developing OSA among patients with MDD. Cross-sectional design and limited generalizability are the major limitations of this study.

Associations of sleep apnea risk and oxygen desaturation indices with cerebral small vessel disease burden in patients with stroke.

BackgroundObstructive sleep apnea (OSA) is associated with cerebral small vessel disease (CSVD). Nonetheless, whether OSA-risk determined by a simple screening questionnaire or indices quantifying nocturnal hypoxemia other than the conventional apnea–hypopnea index (AHI) by the home sleep apnea test (HSAT) associated with CSVD burden remains uncertain.MethodsFrom 2018 to 2021, we recruited patients with transient ischemic attack (TIA)/minor stroke from the Queen Mary Hospital Acute Stroke Unit and TIA/Stroke Outpatient Clinics. Logistic regression models were applied to determine the association of baseline OSA-risk (on STOP-BANG questionnaire) or HSAT-derived indices quantifying nocturnal hypoxemia with global burden/individual markers of CSVD on MRI. Indices included oxygen desaturation (≥3%) index (ODI), minimum oxygen saturation (SpO2), percentage of total sleep time with an oxygen saturation <90% (CT90%), and desaturation duration (≥3%, DesDur).ResultsIn 283 patients with TIA/minor stroke (mean age 65 years, 64% men), OSA-risk was significantly associated with total CSVD score (multivariate-adjusted odds ratio: 1.23, 95% confidence interval 1.01–1.51), presence of lacunes [1.39 (1.09–1.79)] and burden of basal ganglia PVSs [1.32 (1.06–1.67)]. In 85/283 patients who completed HSAT, neither AHI, minimum SpO2 nor CT90% was associated with CSVD burden. Nonetheless, ODI and DesDur remained significantly associated with total CSVD score after covariate adjustment: ODI [1.04 (1.01–1.07)] and DesDur [1.04 (1.01–1.08)].ConclusionIn patients with TIA/minor stroke, high OSA-risk was associated with a greater CSVD burden. Oxygen desaturation indices (ODI and DesDur) rather than AHI were independently associated with global CSVD burden, indicating that longer and more severe desaturations may contribute to the pathogenesis of CSVD.

The risk of increased daytime sleepiness and obstructive sleep apnea among the group of professional drivers

Introduction and purpose: Obstructive sleep apnea (OSA) is the most common clinical problem in the group of diseases classified as sleep breathing disorders. Professional drivers are a group that is particularly exposed to the consequences of OSA during the day. This is a very significant problem as chronic daytime sleepiness and falling asleep at the wheel are now recognized as one of the leading causes of road accidents caused by drivers.The aim of the study was to assess the risk of excessive daytime sleepiness and obstructive sleep apnea among the group of professional drivers. Material and methods: The research group consisted of 101 people employed as a professional driver. In order to assess excessive daytime sleepiness and the risk of obstructive sleep apnea, the Epworth sleepiness scale, the Berlin Questionnaire and the self-questionnaire were used. Results: Among 45 drivers (44.6%) had a high risk of OSA using the Berlin Questionnaire, and 56 drivers (55.4%) had a low risk of OSA. According to the Epworth sleepiness scale, it was found that 19.8% of drivers experienced mild daytime sleepiness and 13.9% were drivers with excessive daytime sleepiness require medical consultation. In drivers with a high risk of OSA, the relationship with increased excessive daytime sleepiness was confirmed in the Berlin Questionnaire (85.7%). Conclusions: Among professional drivers, the risk of developing obstructive sleep apnea increases due to risk factors. There is a relationship between excessive daytime sleepiness and risk factors for obstructive sleep apnea.

Association Between Risk of Obstructive Sleep Apnea and Glaucoma: The Singapore Epidemiology of Eye Diseases Study.

In this population-based, cross-sectional study of Indian and Malay adults in Singapore aged 40 years or above, intermediate or high risk of obstructive sleep apnea (OSA) was associated with 50% higher odds of having glaucoma. The relationship between OSA and glaucoma is unclear. We assessed the association between the risk of OSA and glaucoma in an Asian population. In this population-based, cross-sectional study, we included Indian and Malay adults aged 40 years or above recruited between 2011 and 2015. Glaucoma was assessed by trained ophthalmologists and classified into primary open angle glaucoma (POAG) and primary angle closure glaucoma (PACG). OSA risk was assessed with the Snoring, Tiredness, Observed apnea, High blood pressure, Body mass index, Age, Neck circumference, and male Gender (STOP-Bang) questionnaire and categorized as low risk (<3) or intermediate/higher risk (≥3). We used multivariable logistic regression models to evaluate the relationship between risk of OSA and glaucoma adjusted for key variables, and further stratified for subtype and ethnicity. Of the 3126 participants (mean age: 63.1±9.6y; 52.5% female), 134 (4.3%) had glaucoma, comprising 86 (2.8%) POAG, 22 (0.7%) PACG and 26 (0.8%) secondary glaucomas, and 1182 (37.8%) had an intermediate/higher risk of OSA. Compared with individuals with a low risk of OSA, individuals with intermediate/higher risk had 50% greater odds of having glaucoma (odds ratio: 1.55, 95% confidence interval: 1.03-2.33; P =0.035). We observed a nonsignificant increase in likelihood of having POAG in those with intermediate/higher risk of OSA compared with those with low risk. The OSA-glaucoma relationship was modified by ethnicity, with Malays with intermediate/higher risk of OSA having a 2-fold risk of having any glaucoma (odds ratio: 2.01, 95% confidence interval: 1.12-3.59 P =0.019); while the same elevated risk was not observed for Indians. Intermediate or high risk of OSA is associated with 50% higher odds of having glaucoma in our Singaporean population, with a 2-fold higher risk of glaucoma observed in Malays (but not Indians); however a conformational sleep study is needed.

Adenotonsillectomy outcomes in obese adolescents with obstructive sleep apnea.

(1) To assess adenotonsillectomy (AT) outcomes in adolescents with obesity and with obstructive sleep apnea (OSA); (2) To identify clinical factors predicting OSA in adolescents following AT. Adolescents 12 to 18 years old with obesity who underwent AT for OSA were included. Subjects had pre-AT and post-AT polysomnogram. Nonobese adolescents with OSA that underwent AT were included as a comparison. Seventy adolescents with obesity with a mean age of 14.2 years and a mean body mass index of 38.0 kg/m2 were included. Patients in the nonobese group (n = 32) were similar demographically to the obese group, with the exception of body mass index. The majority of adolescents with obesity (74%) had severe OSA (apnea-hypopnea index [AHI] ≥ 10 events/h) with a mean baseline AHI of 33.9 events/h (standard deviation 28.5). The obese and control groups experienced clinically meaningful improvements in AHI following AT, with median change scores of 18.3 (95% confidence interval -29.2, -11.2, P < .001) and 14.6 (95% confidence interval -25.5, -8.5, P < .001), respectively. In the adolescents with obesity, 48% had an AHI < 5 events/h on postoperative PSG. However, adolescents with obesity were 7 times more likely (odds ratio = 7.1, 95% confidence interval [2.24, 22.48], P = .001) to have moderate or severe persistent OSA (AHI > 5 events/h) after AT compared with patients who were not obese. The need for post-AT positive airway pressure therapy was significantly higher in adolescents with obesity, with 37.1% of participants requiring this therapy (odds ratio = 8.3, 95% confidence interval 1.8, 37.6, P < .001). AT results in improvement in polysomnogram parameters in adolescents with obesity and OSA. However, patients with obesity are at high risk for persistent OSA. Future research should include prospective trials to compare outcomes between AT and positive airway pressure therapy for adolescents with obesity. Kearney TC, Vazifedan T, Baldassari CM. Adenotonsillectomy outcomes in obese adolescents with obstructive sleep apnea. J Clin Sleep Med. 2022;18(12):2855-2860.

Association of co-morbid insomnia and sleep apnoea symptoms with all-cause mortality: Analysis of the NHANES 2005-2008 data.

BackgroundCo-morbid insomnia and sleep apnoea (COMISA) is a highly prevalent condition associated with negative health outcomes. This population-based study aimed to investigate the association between COMISA and all-cause mortality. MethodsSleep data in 6,877 participants (Age median [IQR]=45 [33,57], 50.1% male) were drawn from the National Health and Nutrition Examination Survey (2005-2008). Insomnia was defined as difficulties initiating sleep, long awakenings, and/or early morning awakenings on ≥16 nights/month, with daytime impairment. The STOP-Bang questionnaire was used to identify participants at high risk of obstructive sleep apnoea (OSA). COMISA was defined if participants met criteria for insomnia and high risk OSA. The median (IQR) follow-up for mortality was 8.6 (7.8, 9.8) years. Cox regression models were used to determine the association between COMISA and all-cause mortality, controlling for socio-demographic characteristics, behavioural factors and chronic conditions. ResultsThe prevalence of no insomnia/OSA, insomnia-alone, OSA-alone, and COMISA were 73.5, 3.0, 20.1, and 3.3%, respectively, and 6.7% of participants died by 11-year follow-up. Compared to participants with no insomnia/OSA, higher mortality risk was observed in participants with COMISA (HR=1.9; 95%CI=1.3-2.8) and insomnia alone (HR=1.5; 95%CI=1.0-2.3) after adjusting for socio-demographic characteristics, and behavioural factors. The relationship between COMISA and mortality persisted after additionally controlling for chronic conditions, sleep duration and sleeping pill use (HR=1.6; 95%CI=1.1-2.3), but the relationship between insomnia-alone and mortality did not (HR=1.4; 95%CI=0.9-2.3). ConclusionCo-morbid insomnia and high-risk OSA is associated with increased risk of all-cause mortality. More research is needed to identify effective treatments for COMISA.

Association Between Smoking Behavior and Obstructive Sleep Apnea: A Systematic Review and Meta-Analysis.

To systematically review the association between smoking behavior and obstructive sleep apnea (OSA). PubMed, Medline, the Cochrane Library, EMBASE, and Scopus databases were used to conduct this review. The two researchers independently screened the literatures, conducted the quality assessment, and data extraction according to the inclusion and exclusion criteria. The RevMan 5.3 was used to analysis the apnea hypopnea index (AHI) index, min saturation of oxyhemoglobin (SaO2), Epworth Sleepiness Scale (ESS) score, and oxygen desaturation index (DOI) and publication bias analysis to assess the effect of smoking on OSA patients. Furthermore, we performed subgroup of the severity of OSA, different countries of sample origin (western countries or eastern countries), and pack-years (PYs < 10 or PYs ≥ 20) to analyze the heterogeneity. Thirteen studies were included in this analysis that conformed to inclusion criteria and exclusion criteria. Totally 3654 smokers and 9796 non-smokers have participated. The meta-analysis of 13 studies demonstrated that AHI levels were significantly higher in smoker group compared with non-smoker, ESS scores were also significantly higher in smoker group compared with non-smoker, min SaO2 levels were obviously lower in smoker group compared with non-smoker, however, DOI levels hadn't significantly different between two groups. The subgroup analysis showed that there was an association between severe OSA, eastern countries, pack-years, and smoking. Smoking behavior is a significant association with OSA. Heavy smokers with histories of more than 20 PYs were at a higher risk of OSA. Moreover, patient with severe OSA exhibited a significantly association with smoking compared with patients with mild or moderate OSA. The relationship between smoking and OSA was controversial, especially, whether smoking increase or aggravate the risk of OSA. In our review and meta-analysis, we demonstrated that smoking behavior is a significant association with OSA. Heavy smokers with histories of more than 20 PYs were at a higher risk of OSA. Moreover, patient with severe OSA exhibited a significant association with smoking compared with patients with mild or moderate OSA. More prospective long-term follow-up studies about effect of quit smoking on OSA are recommended to establish the further relationship.

Score that Snore: Proactive Nursing Identification of Obstructive Sleep Apnea in Surgical Patients

<h3>Introduction</h3> Surgical patients with undiagnosed Obstructive Sleep Apnea (OSA) are at an increased risk for post-operative complications of respiratory distress and over sedation. Early identification of undiagnosed OSA can mitigate future risks of post-operative adverse events. <h3>Identification of the problem</h3> In2020, 22% of RRT events occurring within 24 hours of transfer from PACU to inpatient units were related to over sedation and respiratory issues. Retrospective assessment of these patients indicate 50% would have a STOP BANG score of ≥ 3 (moderate to severe OSA risk) while 88% of these patients had no prior OSA diagnosis. Current practice excludes preoperative screening for OSA risks among surgical patients. <h3>EBP Question/Purpose</h3> <b>PICOquestion -</b> In adult surgical patients does a preoperative STOP BANG assessment to identify undiagnosed OSA compared to no assessment reduce post-operative rapid response (RRT) events of respiratory distress and over sedation? <b>Databases utilized</b> - PubMed, CINHAL <h3>Methods/Evidence</h3> Preoperative nurses assess patient risk for OSA using the STOP BANG questionnaire. Moderate to high-risk patients (STOP BANG score ≥ 3) are identified. Nurses notify providers prior to surgery. Post-operatively, PACU nurses implement interventions such as oxygenation, patient positioning, multimodal pain relief, and, if needed, extended monitoring in these moderate to high risk OSA patients. <h3>Significance of Findings/Outcomes</h3> Resultsare pending. Anticipate reduction in RRT events of respiratory distress and over sedation in postoperative patients transferred within 24 hours from PACU to inpatient units. Introduces new perioperative practice of proactive identification of pre-surgical patients with moderate to severe OSA risk which allows for intra-and post-operative interventions that prevent adverse events. Standardizes best practices in perioperative services across multi-hospital healthcare system. <h3>Implications for perianesthesia nurses and future research</h3> Proactive early identification of high risk undiagnosed OSA patients by preoperative nurses can ensure coordinated medical and nursing interventions at all stages of the perioperative process.