Risk Factor For Obstructive Sleep Apnea Research Articles

Visceral Fat Area by Abdominal Bioelectrical Impedance Analysis as a Risk of Obstructive Sleep Apnea.

This is the first study to evaluate directly visceral fat area (VFA) using a visceral fat (VF) meter by the abdominal bioelectrical impedance analysis (A-BIA) method in obstructive sleep apnea (OSA) patients diagnosed with polysomnography (PSG). The purpose of this study is to clarify (1) whether VFA measurement using a VF meter by the A-BIA method is possible even in a private clinic without burdening patients and staff and (2) how much VFA affects OSA compared to body mass index (BMI). Even without a computed tomography scan, which is the gold standard for VFA measurement, a VF meter could analyze patients by the A-BIA method and easily measure VFA. Therefore, it could be used safely even in a private sleep clinic, with very little burden on the patients and the medical staff. We investigated the association between OSA and VFA in 133 OSA patients. Multiple regression analysis revealed that VFA (β = 0.28; P = 0.020) was a stronger coexisting factor for OSA than age, male gender, or BMI (β = 0.26; P = 0.032) in all OSA patients. In the OSA patients with VF accumulation, only VFA was a significant component of OSA severity (β = 0.36; P = 0.006). The A-BIA method instrument could become a useful device for the evaluation of VF accumulation in OSA patients in private sleep clinics. VF accumulation should be recognized as an important risk factor as well as a known risk factor for OSA.

Cluster-derived obstructive sleep apnea phenotypes and outcomes at 5-year follow-up.

Obstructive sleep apnea (OSA) is a heterogeneous, complex disease. We aimed to identify OSA phenotypes through cluster analysis and to perform a long-term follow-up to validate the phenotypes. We applied a partitioning around medioids technique in a cohort of 1,217 participants recently diagnosed with OSA. We performed a 5-year follow-up analyzing the incidence of comorbidities, chronic medication, hospital admissions, mortality, and the influence of continuous positive airway pressure treatment on mortality risk. We identified three phenotypes: two predominantly male clusters, one composed of middle-aged participants with overweight, moderate OSA, and cardiovascular risk factors and the other consisting of older, obese participants with severe OSA, cardiovascular risk factors, ischemic heart disease (18.4%), and atrial fibrillation (9.7%). The third cluster was composed of 77% female participants with moderate OSA; cardiovascular risk factors; the highest prevalence of depression (15.7%); and high prescription of antidepressants (55.1%), anxiolytics (40.0%), hypnotics, sedatives (11.1%), nonsteroidal anti-inflammatory drugs (67.9%), and weak opioids (15.1%). The baseline characteristics of each cluster maintained the same trend over time regarding the incidence of new comorbidities, medication intake, hospitalization rates, and reasons for admission. The absence of continuous positive airway pressure treatment was associated with a significantly higher risk of all-cause mortality (hazard ratio 5.84, confidence interval 2.9-11.8), especially in the older men (hazard ratio 7.7, confidence interval 4.06-14.63) and predominantly female clusters (hazard ratio 2.79, confidence interval 1.34-5.79). We identified three phenotypes with relevant clinical and prognostic implications in order to improve personalized strategies in OSA management. Silveira MG, Sampol G, Mota-Foix M, Ferrer J, Lloberes P. Cluster-derived obstructive sleep apnea phenotypes and outcomes at 5-year follow-up. J Clin Sleep Med. 2022;18(2):597-607.

Prevalence and factors correlated with hypertension secondary from obstructive sleep apnea.

BackgroundIn 2003, the JNC 7 reported obstructive sleep apnea (OSA) as a cause of secondary hypertension. The prevalence of OSA in hypertension ranges from 30-80%. There are limited data on the prevalence and risk factors of OSA in hypertensive patients. This study thus aimed to evaluate prevalence and clinical predictors of obstructive sleep apnea (OSA) in these patients.MethodsThis was a cross-sectional study and conducted at the hypertension clinic at Khon Kaen University’s Srinagarind Hospital, Thailand. We enrolled patients with hypertension treated at the clinic. OSA was defined as apnea-hypopnea index of 5 events/hour or over according to cardiopulmonary monitoring. Patients whose hypertension was due to any other causes were excluded. The prevalence of OSA was calculated and risk factors for OSA were analyzed using multivariate logistic regression.ResultsThere were 726 hypertensive patients treated at the clinic. Out of those, 253 (34.8%) were randomly studied and categorized as either non-OSA (147 patients, 58.1%) or OSA (106 patients, 41.9%). There were four independent factors associated with OSA-induced hypertension: age, sex, history of snoring, and history of headache. Headache had an adjusted odds ratio (95% confidence interval) of 3.564 (95% confidence interval of 1.510, 8.411).ConclusionAge, male sex, history of snoring, and headache were independent predictors of hypertension caused by OSA.

Densely granulated adenoma pattern is associated with an increased risk of obstructive sleep apnea in patients with acromegaly

To explore the prevalence of obstructive sleep apnea (OSA) and the association between the adenomagranulation patterns and OSA in patients with acromegaly. An overnight polysomnography (PSG) assessment was carried out on participants with acromegaly. Resultsclassified participantsinto anon-OSA group, mild to moderate OSA group, and severe OSA group. Morphological and biochemical analyses were performed. Demographic, clinical, biochemical, and polysomnographic data were compared among the three groups. Using logistic regression models, the risk of OSA in acromegalic subjects was estimated. OSA was reported in 36 of 49patients (74%) with acromegaly. Contrasted with the non-OSA group, OSA patients had a larger proportion of the densely granulated (DG) pattern. The OSA groups with DG acromegaly had a smaller maximum tumor diameter and Vol/2 than those with the sparsely granulated (SG) pattern. Furthermore, a higher growth hormone (GH) level (45.0 ± 36.9 vs 18.6 ± 15.8, P = 0.047) and GH index (28.4 ± 13.8 vs 6.6 ± 8.2, P = 0.003) were found in DG acromegaly patients with severe OSA. Additionally, there was a trend toward higher standardized insulin-like growth factor 1 (IGF-1) in patients with DG acromegaly than in those with SG acromegaly in the severe OSA group. After adjusting for potential confounding variables, the DG pattern was correlated with the risk of OSA (OR = 14.84, 95%CI 1.36-162.20, P = 0.027) in patients with acromegaly. The findings indicate that a high prevalence of OSA exists in patientswith acromegaly, and the DG pattern may be a risk factor for OSA in acromegaly.

Behavioral, neurocognitive, polysomnographic and cardiometabolic profiles associated with obstructive sleep apnea in adolescents with ADHD.

A high comorbidity between attention-deficit/hyperactivity disorder (ADHD) and obstructive sleep apnea (OSA) as well as similar impairments across neurobehavioral outcomes has been described in children. However, there is a paucity of research examining the comorbidity of these two disorders in adolescents. This study examined the association of OSA with sleep, neurobehavioral, and cardiometabolic outcomes in adolescents with ADHD from the general population. 421 adolescents (16.9 ± 2.3 years, 53.9% male) underwent 9-hr polysomnography, neurobehavioral, and physical evaluation. ADHD was ascertained by a parent-or-self-report of a lifetime diagnosis/treatment of ADHD. OSA was defined as an apnea hypopnea index of ≥2 events/hour. Groups of controls (n = 208), OSA-alone (n = 115), ADHD-alone (n = 54), and ADHD+OSA (n = 44) were studied. Multivariable-adjusted general linear models tested group differences in PSG parameters, neurobehavioral, and cardiometabolic outcomes after controlling for sex, race/ethnicity, age, and/or body mass index percentile. The ADHD+OSA group had significantly longer sleep onset latency, shorter total sleep time, lower sleep efficiency, and higher percent of stage 1 sleep, as compared with all other groups, however, these differences were diminished by excluding adolescents on psychoactive medication. The ADHD-alone group showed significantly higher periodic limb movements than controls. The ADHD+OSA and ADHD-alone groups did not significantly differ on any measure of neurocognitive or behavioral functioning. The ADHD+OSA and OSA-alone groups showed significantly worse cardiometabolic and inflammatory biomarkers when compared to controls or the ADHD-alone, but did not significantly differ between each other. Adolescents with a diagnosis ADHD+OSA showed phenotypic risk factors for OSA (i.e., overweight/obesity, visceral adiposity, metabolic syndrome, and inflammation) but not worse neurobehavioral outcomes when compared with ADHD-alone. While comorbidity is possible, these data support that adolescents with a suspicion of ADHD should be screened for OSA, before a diagnosis is reached and psychoactive medication initiated.

The Relationship Between Obstructive Sleep Apnea and Pediatric Obesity: A Nationwide Analysis.

Pediatric obstructive sleep apnea (OSA) can have both acute and chronic consequences when untreated. We hypothesize that a link exists between childhood obesity and OSA at nationwide level, with race, gender, and socioeconomic status conferring their own risk for pediatric OSA. This study examined nationwide discharges in 2016 using the Kids' Inpatient Database (KID). The International Classification of Diseases, 10th revision, Clinical Modification (ICD-10-CM) codes for obesity (E66.0) and OSA (G47.33) were used. Prevalence rates and odds ratios (ORs) were used to quantify associations between the obesity and OSA groups in the general pediatric inpatient population. Multiple binary logistic regression was utilized to compare cohorts of pediatric inpatient admissions. There were 36 266 285 weighted discharges in the 2016 KID. Among patients included in our dataset, 0.426% (26 684) were diagnosed with obesity and 0.562% (35 242) had OSA. Obesity was independently associated with a significantly increased risk of OSA (OR = 22.89; 95% C.I. = 21.99-23.84). Within the OSA inpatient population, obesity was associated with non-Hispanic black race, Hispanic ethnicity, and Native American race/ethnicity (OR = 1.45, 1.32, 2.51; 95% C.I. = 1.33-1.58, 1.21-1.44, 1.73-3.63). Obesity is independently associated with OSA in children after controlling for adenotonsillar hypertrophy. Non-Hispanic black race and Hispanic ethnicity are independent risk factors for OSA and are associated with obesity in the OSA inpatient population, which suggests that obesity may play a role in the increased risk of OSA within these groups.

Alcohol as an independent risk factor for obstructive sleep apnea

BackgroundTo determine if alcohol consumption is a risk factor for obstructive sleep apnea (OSA) and nocturnal oxygen desaturation.MethodsThis case–control study evaluated patients with confirmed OSA and a control group using polysomnography (PSG). Two doctors who have worked in this field for more than 5 years provided a blinded interpretation of the patients’ monitoring results. Logistic regression models were used to identify the odds ratio (OR) for alcohol consumption on OSA.ResultsA total of 793 patients were enrolled in this study. Compared with those who did not consume alcohol, those consuming alcohol had a higher risk of OSA (OR 2.03, 95% CI 1.30–3.17) after adjustment. Regarding the risk of OSA after adjusting for former drinkers and current ones, the ORs were 1.96 (95% CI 1.19–3.22) and 2.22 (95% CI 1.06–4.63), respectively. And the P for trend = 0.002. The β of former drinkers and the current ones were 3.448 and 4.560 after adjustment; P for trend was 0.006. The relationship may have gender difference, and alcohol consumption was associated with AHI in female significantly (β = 10.190 and 15.395 for former and current drinkers, respectively, in females after adjustment, P for trend = 0.002).ConclusionsIn this study, we found that alcohol consumption was an independent risk factor of OSA and OSA with hypoxia, and alcohol consumption was related to AHI significantly after adjustment, especially in female. In order to reduce the risk and severity of OSA, it is suggested that people should avoid drinking, and drinkers should abstain from drinking.

Význam screeningových dotazníků v detekci závažnosti obstrukční spánkové apnoe

ntroduction: The aim of this study is to compare the importance of screening questionnaires and risk factors in detecting the severity of obstructive sleep apnea (OSA). Methods: The study included 47 patients with suspected OSA. The patients completed 5 screening questionnaires – the Epworth Sleepiness Scale (ESS), the STOP BANG questionnaire, the STOP questionnaire, the Berlin questionnaire (BQ) and the Pittsburgh Sleep Quality Index (PSQI). Subsequently, they were examined by the limited polygraphy. AHI (number of apneas/ hypopneas per 1 hour), t90 desaturation (percentage of sleep time spent in desaturations below 90%) and ODI (number of desaturations ≥ 3% within 1 hour) were compared with questionnaire scores and selected risk factors for OSA (BMI, male gender, hypertension, age, neck circumference, abdominal circumference and abdominal/ hip circumference ratio). Results: The achieved score of any of the monitored questionnaires does not correlate with the value of AHI. BQ, STOP and STOP BANG questionnaires have the relatively highest sensitivity for OSA detection, while the sensitivity of PSQI and ESS is low. The correlation of the ESS, STOP BANG and BQ scores with the t90 desaturation, as well as the ESS and STOP BANG scores with the ODI is statistically signifi cant. The relationship of any of the selected risk factors with the AHI value has not been demonstrated. Desaturation values of t90 and ODI correlated best with BMI, neck circumference and abdominal/ hip circumference ratio. Conclusion: None of the monitored questionnaires is suitable for determining the severity of OSA, it is always necessary to perform a polygraphic or polysomnographic examination of sleep. BQ and STOPBANG are relatively most suitable for OSA screening. They both have high sensitivity and, at the same time, their score correlates with the value of nocturnal hypoxemia. Parameters measuring nocturnal hypoxemia (t90 desaturation, ODI) correlate better with risk factors than AHI. The most important parameters associated with hypoxemia are BMI, neck circumference and abdominal/ hip circumference ratio and it is appropriate to include them in the screening for OSA. Keywords: obstructive sleep apnea – Berlin questionnaire – STOP-Bang questionnaire – STOP questionnaire – Epworth sleepiness scale – Pittsburgh Sleep Quality Index

415 Risk of Obstructive Sleep Apnea after Treatment of Head and Neck Squamous Cell Carcinoma

Abstract Introduction Head and neck cancers (HNC) or their treatment may be associated with an increased risk of obstructive sleep apnea (OSA). Small studies that examined OSA risk factors in adults with HNC reported conflicting results. This study examined associations between tumor characteristics and risk of OSA among patients at least one year free of head and neck squamous cell carcinoma (HNSCC). Methods For this cross-sectional study of HNSCC patients at a large academic medical center, inclusion criteria were age ≥18 years, with absence of tracheostomy or mental impairment. The STOP-BANG questionnaire, with a threshold ≥3, was used to identify high risk for OSA. Descriptive statistics were used to compare demographic and health characteristics between OSA risk groups. Logistic and linear regression models adjusted for age and gender were used to examine associations between demographics, anthropometric measures, and OSA risk. Results Among 67 participants, 57 (85%) were male, mean age was 62.0±8.0 (s.d.) years, mean body mass index (BMI) was 28.7±4.6 Kg/m2, and mean neck circumference (NC) was 16.3±1.2 inches. A total of 50 (75%) participants received chemoradiation only. High OSA risk was observed in 40 (60%) of the participants. Tumor location, tumor stage, and type of cancer treatment were not different between OSA risk groups. Body mass index and NC were greater in the high OSA risk group (BMI 29.6±4.5 Kg/m2 vs. 27.3±4.1 Kg/m2, p=0.03; NC 16.5±1.3 inches vs. 15.8±0.5 inches, p=0.01). In age and gender-adjusted logistic regression models, BMI (OR=1.2, 95% CI 1.0, 1.4) and NC (OR=2.9, 95% CI 1.1, 7.3) were associated with high OSA risk. Adjusted linear regression models showed that BMI (β=0.10, 95%CI 0.04, 0.17) and NC (β=0.64, 95%CI 0.32, 0.96) were associated with STOP-BANG scores. Conclusion High OSA risk was quite common after HNSCC treatment. However, measured HNSCC characteristics were not different between high and low OSA risk groups. Instead, OSA risk factors included BMI and NC, as often reported in non-HNSCC patients as well. Prospective studies before and after cancer treatment will be needed to further elucidate potential roles of HNSCC and its treatment in subsequent OSA incidence. Support (if any) Dr. Gavidia’s work was supported by an NIH/NINDS T32-NS007222 grant.

Prevalence and Risk Factors of Obstructive Sleep Apnea in Hypertensive Emergency.

Introduction:Obstructive sleep apnea (OSA) is a common factor associated with hypertensive crises. There is limited evidence of prevalence and risk factors of OSA in hypertensive emergency.Methods:This study recruited adult patients who diagnosed as hypertensive emergency and tested for OSA. The study period was between July 2019 and January 2020. The patients were categorized as OSA and non-OSA groups by the evidence from polysomnography. Prevalence and risk factors for OSA were executed.Results:During the study, there were 52 eligible patients. Of those, 30 patients (57.69%) were diagnosed with OSA. The stepwise logistic regression analysis for predicting OSA had two remaining factors: body mass index and diastolic blood pressure. Only body mass index was independently associated with OSA with an adjusted odds ratio of 1.166 (95% confidence interval of 1.033, 1.316). The body mass index of 25.02 kg/m2 gave sensitivity and specificity of 80.00% and 59.09%, respectively. The area under the receiver operating characteristic curve was 70.98%.Conclusion:OSA had high incidence rate in patients with hypertensive emergency. High body mass index was a predictor for OSA associated with hypertensive emergency.

Continuous positive airway pressure improves blood pressure and serum cardiovascular biomarkers in obstructive sleep apnoea and hypertension.

The impact of treatment for obstructive sleep apnoea (OSA) on reduction of cardiovascular risk is unclear. This study aimed to examine the effect of continuous positive airway pressure (CPAP) on ambulatory blood pressure (BP) and subclinical myocardial injury in subjects with OSA and hypertension. This was a parallel-group randomised controlled trial. Subjects with hypertension requiring at least three antihypertensive medications and moderate-to-severe OSA were enrolled. Eligible subjects were randomised (1:1) to receive either CPAP treatment or control (no CPAP) for 8 weeks. Changes in ambulatory BP and serum biomarkers were compared. Stratified analysis according to circadian BP pattern was performed. 92 subjects (75% male; mean±sd age 51±8 years and apnoea-hypopnoea index 40±8 events·h-1, taking an average of 3.4 (range 3-6) antihypertensive drugs) were randomised. The group on CPAP treatment, compared with the control group, demonstrated a significant reduction in 24-h systolic BP (-4.4 (95% CI -8.7- -0.1) mmHg; p=0.046), 24-h diastolic BP (-2.9 (95% CI -5.5- -0.2) mmHg; p=0.032), daytime systolic BP (-5.4 (95% CI -9.7- -1.0) mmHg; p=0.016) and daytime diastolic BP (-3.4 (95% CI -6.1- -0.8) mmHg; p=0.012). CPAP treatment was associated with significant BP lowering only in nondippers, but not in dippers. Serum troponin I (mean difference -1.74 (95% CI -2.97- -0.50) pg·mL-1; p=0.006) and brain natriuretic peptide (-9.1 (95% CI -17.6- -0.6) pg·mL-1; p=0.036) were significantly reduced in CPAP compared with the control group. In a cohort with OSA and multiple cardiovascular risk factors including difficult-to-control hypertension, short-term CPAP treatment improved ambulatory BP, and alleviated subclinical myocardial injury and strain.

Association of Metabolic Syndrome With Prevalence of Obstructive Sleep Apnea and Remission After Sleeve Gastrectomy.

Obesity is an important risk factor for metabolic syndrome and obstructive sleep apnea (OSA). Bariatric surgery has been shown to effectively reduce weight and obesity-related comorbidities. However, the prevalence and severity of OSA in obese patients with different baseline metabolic states and the improvements of OSA after bariatric surgery remain unknown. The main aims of this study were to ascertain the prevalence of OSA in young Chinese obese patients with different metabolic states and to evaluate their respective OSA remission after laparoscopic sleeve gastrectomy. We first performed a cross-sectional study involving 123 metabolically healthy obese patients and 200 metabolically unhealthy obese patients (who had the same age and BMI ranges) to estimate the prevalence of OSA at baseline. Then we performed a retrospective study, which was registered at ClinicalTrials.gov (ref. NCT02653430) of 67 patients who underwent laparoscopic sleeve gastrectomy to evaluate the remission of OSA. Metabolically healthy and unhealthy obese patients had similar apnea-hypopnea index levels (16.6 ± 22.0 vs. 16.7 ± 18.7 events/h, P = 0.512) and prevalence of OSA (66.7% vs. 69.0%, P = 0.662). Male sex, age, waist circumference and lower liver-to-spleen ratio were independent risk factors for OSA. After laparoscopic sleeve gastrectomy, no difference was found in the decrease in body mass index (BMI) change (10.8 ± 4.8 vs. 10.8 ± 3.0 kg/m2, P = 0.996) or the decrease in the apnea-hypopnea index (18.9 ± 24.6 vs. 17.0 ± 24.0 events/h, P = 0.800). The remission of moderate-to-severe OSA was observed in the MHO (36.3%; 54.5–18.2%, P = 0.125) and MUO (32.2%; 66.1–33.9%, P = 0.001) patients. These results suggest that, in patients with obesity, metabolic syndrome does not add extra risk for the prevalence or severity of OSA. Both metabolically healthy and unhealthy obese patients could benefit equally from laparoscopic sleeve gastrectomy in terms of weight loss and obstructive sleep apnea remission.

Predictors of Obstructive Sleep Apnoea (OSA) Population in the Coronary Angiogram Database of South Australia (CADOSA).

Obstructive sleep apnoea (OSA) is increasingly recognized to be a risk factor for cardiovascular disease. This study assessed the prevalence and clinical predictors of OSA in patients undergoing coronary angiography. Consecutive patients undergoing coronary angiography in South Australian public hospitals from 2015 to 2018 were included. Clinical details for consecutive patients undergoing coronary angiography in South Australian public hospitals were captured by the Coronary Angiogram Database of South Australia (CADOSA) registry staff, with OSA identified by patient report. Among the 9,885 patients undergoing coronary angiography for the investigation of chest pain, 11% (n = 1,089) were documented as having OSA. Independent clinical predictors of OSA included male gender (OR 2.22, 1.86-2.65, P < 0.001), diabetes mellitus (OR 1.84, 1.58-2.14, P < 0.001), depression (OR 1.81, 1.55-2.12, P < 0.001), prior heart failure (OR 1.63, 1.22-2.18, P = 0.001), hypertension (OR 1.61, 1.32-1.95, P ≤ 0.001), asthma (OR 1.61, 1.34-1.93, P < 0.001), not a current smoker (OR 1.60, 1.30-1.96, P < 0.001), dyslipidaemia (OR 1.46, 1.22-1.76, P < 0.001), non-acute coronary syndrome presentation (OR 1.45, 1.25-1.69, P < 0.001), chronic lung disease (OR 1.40, 1.12-1.73, P = 0.003), cerebrovascular disease (OR 1.36, 1.07-1.73, P = 0.012), non-obstructive coronary artery disease (NOCAD) (OR 1.30, 1.10-1.55, P = 0.003) and atrial fibrillation/flutter (OR 1.30, 1.06-1.60, P = 0.012). Finally, stable angina (32.1% vs 22.7%) and NOCAD (29.1% vs 26.3%, P = 0.051) were trended more common in patients with OSA versus no OSA. In addition to established risk factors for OSA, this study found NOCAD to be independent predictor of OSA; especially in those presenting with a stable angina presentation. This suggests that coronary vasomotor disorders may be associated with OSA, although further detailed studies are required.

Obstructive sleep apnea in patients with head and neck cancer: a systematic review.

Head and neck cancers (HNCs) may modify the upper airway anatomy and thereby increase the risk for obstructive sleep apnea (OSA). If untreated, OSA is associated with adverse outcomes. Identification of risk factors for OSA in patients with HNC is essential to promote proper evaluation, treatment, and improvement of sleep-related outcomes. In this review, we assessed associations between tumor stage, cancer treatment, and OSA in the population with HNC. A systematic search of PubMed, EMBASE (Embase.com), Cochrane Library (Cochranelibrary.com), Scopus, and Web of Science was conducted to identify articles related to OSA in patients with HNC. A total of 215 articles were identified, of which 14 were included in the qualitative synthesis. These studies included 387 participants. The most common cancer type, tumor location, and cancer therapy were squamous cell carcinoma, oropharynx, and surgery, respectively. Three of six articles reported an association between surgical treatment and OSA. Conversely, associations between tumor stage, radiotherapy, and OSA were found in only a minority of studies (15%). The prevalence of OSA was between 57% and 76% pre-cancer therapy and 12% and 96% afterward. This review suggests a potential association between HNC surgery and OSA. An association between tumor stage, radiotherapy to the head and neck, and OSA is inconclusive. Further research is needed to examine the relationship between HNC and OSA.

Development of the University Postoperative Obstructive Sleep Apnea Protocol (UPOP)

PurposeThe purpose of this project was to retrospectively analyze medical records to determine the relationship between surgical patients with obstructive sleep apnea (OSA) risk factors and the occurrence of a critical respiratory event (CRE) in the postanesthesia care unit (PACU), and to subsequently develop a protocol for postoperative care. Although OSA is prevalent among the surgical population, research has primarily focused on preoperative identification and tailored perioperative care with limited application of standardized postoperative OSA management. DesignSurgical charts were retrospectively reviewed between April 1, 2019 and June 31, 2019. Medical records were reviewed to identify surgical patients who had a diagnosis of OSA or two or more OSA risk factors. For patients who met initial inclusion, PACU charts were reviewed for the occurrence of a CRE while in PACU. Data analysis involved use of both Microsoft Excel 2011 and IBM SPSS Statistics Base, version 26. MethodsMedical records were reviewed to identify patients in PACU who had two or more documented OSA risk factors (body mass index >35, snoring, alcohol use, diabetes mellitus [DM], hypertension [HTN], or male) or a diagnosis of OSA (n = 1,361). This sample was further refined to determine the patients who had a CRE (oxygen saturation less than 92%; respiratory rate less than 10, Modified Aldrete Respiratory Score of 1 and/or lesser) while in the PACU (n = 200). FindingsThere was a statistically significant relationship between one CRE in the PACU and a pre-existing diagnosis of HTN, DM, snoring, alcohol use, and male gender (P < .001 for each variable). There was a statistically significant difference in body mass index between patients who experienced a CRE and those who did not (P = .004). HTN and DM (n = 16) were associated with the highest occurrence of a CRE. ConclusionsThe University Postoperative Obstructive Sleep Apnea Protocol was designed based on results and current evidence-based practice. Development of a postoperative OSA protocol will positively impact patient outcomes and may reduce health care expenditures. Next steps include protocol implementation and analysis.

Association of Obstructive Sleep Apnea With the Risk of Male Infertility in Taiwan

Obstructive sleep apnea (OSA) has been proposed as a risk factor in infertility. However, to date, the association between OSA and male infertility has not been examined in a population-based study. To investigate the risk factor of OSA in male infertility and the outcome of OSA treatment for the risk of male infertility. This case-control population-based study collected data from the Longitudinal Health Insurance Database, a subset of the National Health Insurance Research Database in Taiwan. Male patients with a diagnosis of infertility and at least 3 outpatient visits or 1 hospitalization between January 1, 2000, and December 31, 2013, were included and matched by age, sex, and date of infertility diagnosis with individuals without an infertility diagnosis. Data analysis was performed from October 22, 2018, to April 22, 2019. Patients with male infertility and randomly selected patients without male infertility were matched using a 1:4 propensity score matching ratio. A primary outcome was the risk factor of OSA (diagnosed through polysomnography). A secondary outcome was the association of the risk of male infertility with OSA exposure time interval (short term, middle term, and long term) and OSA management (ie, none, continuous positive airway pressure, uvulopalatopharyngoplasty, or both). A total of 4607 male patients with infertility (mean [SD] age, 34.18 [5.44] years) and 18 428 control patients (mean [SD] age, 34.28 [5.81] years) were included. In the multivariate conditional logistic regression analysis, OSA was an independent risk factor associated with infertility (adjusted odds ratio [OR], 1.24; 95% CI, 1.10-1.64; P = .003). The absolute risk was 0.204 (95% CI, 0.092-0.391). For patients with OSA in the group without treatment, the adjusted OR was 1.80 (95% CI, 1.56-2.07; P < .001) for infertility compared with patients without OSA. Results of this study support the hypothesis that OSA increases the risk of infertility in male patients, and the risk is associated with the OSA exposure time. Furthermore, no OSA management or treatment is associated with a higher infertility risk.

Polysomnography findings and risk factors for sleep-disordered breathing in patients with systemic sclerosis.

Objectives This study aims to evaluate polysomnography findings and risk factors for sleep-disordered breathing in patients with systemic sclerosis (SSc).Patients and methods Thirty-nine patients (2 males, 37 females; mean age: 51.1±12.5 years; range, 21 to 76 years) who attended to the Rheumatology Clinic of Trakya University Medical Faculty between March 2014 and May 2014 were included in the study. Thoracic computed tomography, pulmonary function tests, carbon monoxide diffusion tests, echocardiography, and all-night polysomnography in a sleep laboratory were performed in all patients. Demographic and clinical characteristics of the patients were recorded. The Apnea-Hypopnea Index (AHI) scores were calculated. Disease activity was examined using the Medsger Disease Severity Scale (MDSS). Possible risk factors for sleep-disordered breathing were evaluated.Results Using the AHI of ≥5 for obstructive sleep apnea (OSA), 21 (53.8%) of the patients were classified as having OSA. There were no significant differences between the groups with and without OSA in terms of steroid use (p=0.4), CT involvement (p=0.3), and Warrick (p=0.6) and MDSS scores (p=0.5). Age, body mass index (BMI), and mean oxygen desaturation index were found to be significant in the univariate analysis (p<0.1); however, the multivariate analysis revealed only BMI as significant risk factor of OSA (p=0.028). In the multivariate analysis, the mean saturation was found to be significant risk factor for high pulmonary artery pressure (p<0.001).Conclusion Although OSA is common in SSc, only increased BMI is a significant risk factor of OSA, but not lung involvement, Warrick scores, or MDSS scores.

A risk biomarker for obstructive sleep apnea in patients with coronary artery disease: monocyte to high-density lipoprotein ratio

The monocyte to high-density lipoprotein ratio (MHR) has been postulated to be a novel indicator associated with adverse cardiovascular outcomes in patients with coronary artery disease (CAD). These patients often have obstructive sleep apnea (OSA) and whetheror not MHR may provide prognostic value for this comorbidity remains unclear. Therefore, we sought to explore the clinical value of MHR in evaluating OSA in patients with CAD. Consecutive patients with CAD were prospectively recruited and were assigned into four groups based on the quartiles of MHR. Portable monitoring for detecting nocturnal respiratory events was utilized to provide the diagnosis of OSA. Patients were defined as having OSA when respiratory event index ≥ 15 events/h. Univariate and multivariate regression analyses were used to explore the independent association between the levels of MHR and OSA. A total of 1243 patients with CAD was included with a prevalence of OSA reaching 40% (n = 497). Patients with higher levels of MHR experienced increasing severity of OSA. In univariate analysis, MHR was a risk factor for OSA (odds ratio [OR] 1.90, 95% confidence interval [CI] 1.33-2.71, p < 0.001). Multivariate analysis showed that MHR was independently associated with the presence of OSA (OR 1.63, 95% CI 1.06-2.52, p = 0.027) after adjusting for possible confounding factors. Elevated levels of MHR were independently associated with a higher likelihood of OSA in patients with CAD. MHR could be a screening tool and a risk biomarker of OSA in such patients.

Air Pollution and Respiratory Permeability in Obstructive Sleep Apnea - A Review

ABSTRACT Obstructive sleep apnea (OSA) is a common disorder characterized by recurrent episodes of nocturnal upper airway obstruction during sleep, which can seriously affect sleep quality and cause sleepiness during the daytime. Known risk factors for OSA are numerous, including obesity, age, gender, craniofacial anatomy, smoking, alcohol consumption, and genetic inheritance. Recently, air pollution was linked to an increased risk of OSA severity. Alterations in permeability are considered to be an important factor in the development of OSA; however, the role of air pollution remains unclear. This review article explored the role of air pollution and airway permeability in the pathogenesis of OSA.

A cross-sectional study to assess the risk factors for the presence and severity of obstructive sleep apnea among patients with type 2 diabetes mellitus at a tertiary care hospital, Gangtok

Background and Objectives: Diabetes mellitus (T2DM) and obstructive sleep apnea (OSA) are common disorders that not only often coexist but also have a bidirectional association where each condition exacerbates the other. The present study was performed to ascertain the occurrence and predictors of risk factors of OSA in patients with type 2DM. Materials and Methods: A cross-sectional hospital-based study recruiting 164 patients for over 2 months was conducted, in which each diabetic patient was assigned to complete a questionnaire on various variables followed by a general physical examination for associated comorbidities diabetic complications (neuropathy, nephropathy, and retinopathy). Their fasting blood glucose (FBG) and hemoglobin A1c (HbA1c) levels were recorded, following which they were administered and assessed using Berlin Questionnaire and Epworth Sleepiness Score for risk category and daytime sleepiness. Patients with already diagnosed OSA including ones receiving treatment for it were excluded from the study. Results: Of the 164 diabetic patients recruited in the study, 64 (39%) were at high risk for OSA in contrast to the 100 (61%) who were at low risk for OSA. Neck circumference, waist circumference, presence of hypertension and more than one comorbidities along with patients who experienced witnessed apnea at least three times a week, excessive daytime sleepiness, and habitual snorers found to be significant risk factors and practices in posing DM patients at a higher risk for OSA. Patients with body mass index ≥25 were more likely to have a high risk of OSA. FBG and HbA1c were not significant risk factors for OSA. Conclusions: OSA has a high prevalence in subjects with T2DM which reinforces the clinicians to remain observant for signs and symptoms of OSA in diabetic patients and monitor their compliance in terms of weight management, diet control, and medication adherence.