Factors In Obstructive Sleep Apnea Research Articles

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

Incremental health care utilization and expenditures for sleep disorders in the United States.

To determine the incremental increases in health care utilization and expenditures associated with sleep disorders. Adults with a diagnosis of a sleep disorder (International Classification of Diseases, 10th Revision, code G47.x) within the medical conditions file of the 2018 Medical Expenditure Panel Survey medical conditions file were identified. This dataset was then linked to the consolidated expenditures file and comparisons in health care utilization and expenditures were made between those with and without sleep disorders. Multivariate analyses, adjusted for demographics and comorbidities, were conducted for these comparisons. Overall, 5.6% ± 0.2% of the study population had been diagnosed with a sleep disorder, representing approximately 13.6 ± 0.6 million adults in the United States. Those with sleep disorders were more likely to be non-Hispanic, White, and female, with a higher proportion with public insurance and higher Charlson Comorbidity Scores. Adults with sleep disorders were found to have increased utilization of office visits (16.3 ± 0.8 vs 8.7 ± 0.3, P < .001), emergency room visits (0.52 ± 0.03 vs 0.37 ± 0.02, P < .001), and prescriptions (39.7 ± 1.2 vs 21.9 ± 0.4, P < .001) vs those without sleep disorders. The additional incremental health care expenses for those with sleep disorders were increased in all examined measures: total health care expense ($6,975 ± $800, P < .001), total office-based expenditures ($1,694 ± $277, P < .001), total prescription expenditures ($2,574 ± $364, P < .001), and total self-expenditures for prescriptions ($195 ± $32, P < .001). Sleep disorders are associated with significantly higher rates of health care utilization and expenditures. By using the conservative prevalence estimate found in this study, the overall incremental health care costs of sleep disorders in the United States represents approximately $94.9 billion. Huyett P, Bhattacharyya N. Incremental health care utilization and expenditures for sleep disorders in the United States. J Clin Sleep Med. 2021;17(10):1981-1986.

Body Mass Index Reduction and Selected Cardiometabolic Risk Factors in Obstructive Sleep Apnea: Meta-Analysis.

Although clinical studies have been carried out on the effects of weight reduction in sleep apnea patients, no direct link has been shown between weight reduction and changes in cardio-metabolic risk factors. We aimed to analyze changes in the apnea–hypopnea index and selected cardio-metabolic parameters (total cholesterol, triglycerides, glucose, insulin, blood pressure) in relation to the reduction in body mass index in obstructive sleep apnea patients. Medline, Web of Science and Cochrane databases were searched to combine results from individual studies in a single meta-analysis. We identified 333 relevant articles, from which 30 papers were assigned for full-text review, and finally 10 (seven randomized controlled trials and three nonrandomized studies) were included for data analysis. One unit of body mass index reduction was found to significantly influence changes in the apnea–hypopnea index (−2.83/h; 95% CI: −4.24, −1.41), total cholesterol (−0.12 mmol/L; 95% CI: −0.22, −0.01), triglycerides (−0.24 mmol/L; 95% CI: −0.46, −0.02), fasting insulin (−7.3 pmol/L; 95% CI: −11.5, −3.1), systolic (−1.86 mmHg; 95% CI: −3.57, −0.15) and diastolic blood pressure (−2.07 mmHg; 95% CI: −3.79, −0.35). Practical application of lifestyle modification resulting in the reduction of one unit of body mass index gives meaningful changes in selected cardio-metabolic risk factors in obstructive sleep apnea patients.

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.

Relationship between Obstructive Sleep Apnea(OSA) and Orthodontic malocclusion in non-obese adults

INTRODUCTION:Obstructive Sleep Apnea (OSA)represents the complete or partial obstruction of the airway.Clinically OSA manifests as sleepness during the day,heavy snoring as well as waking up during the night dues the lack of air.Obesity,gender and orthodontic malocclusion are mentioned in the literature as the etiologic factor for Obstructive Sleep Apnea.&#x0D; AIM: The aim of this study was to find the relationship in the analyzed studies between the Obstructive Sleep Apnea and orthodontic malocclusion at non-obese adults.&#x0D; MATERIAL AND METHODS:The electornic search of the database was performed,using PubMed and Googlescholar,with the aim to find the relevante articles which correlate the OSA and orthodontic malocclusion.Keyword included:obstrucitve sleep apnea,orthodontic malocclusion,cephalometric analysis,impact,association,body mass index,obesity,adults,non obesity.&#x0D; Inclusion criteria were:nonobesity,orthodontic malocclusion,adults,articles published from 1999 to 2019,articles in English,full articles avaiable.&#x0D; RESULTS:Two hundred papers included keywords.The number of articles that included the fully set criteria was nine.These nine articles were analyzed in detail.&#x0D; CONCLUSION:Analyzed articles showed that there is relationship between the Obstructive Sleep Apnea and orthodontic malocclusion in non-obese adults.It was also showed that orthodontic malocclusion is etiological factor for OSA in non-obese adults.

Risk Factors for Obstructive Sleep Apnea and the Association of Obstructive Sleep Apnea with Daytime Sleepiness, Obesity and Comorbidity

Risk Factors for Obstructive Sleep Apnea and the Association of Obstructive Sleep Apnea with Daytime Sleepiness, Obesity and Comorbidity

Utilizing Big Data to Identify the Prevalence of and Risk Factors for Obstructive Sleep Apnea in a Pediatric Population

Utilizing Big Data to Identify the Prevalence of and Risk Factors for Obstructive Sleep Apnea in a Pediatric Population

Prematurity: A Prognostic Factor for Increased Severity of Pediatric Obstructive Sleep Apnea.

Studies have suggested preterm birth, defined as gestational age (GA) <37 weeks, is a risk factor for obstructive sleep apnea (OSA) in later childhood. However, little is known about the characteristics, severity, and degree of intervention of childhood OSA in former preterm infants compared to term infants. This study compares polysomnographic characteristics and surgical interventions in former preterm and term infants presenting with sleep disordered breathing. Retrospective cohort study from 2015 to 2019 at a single tertiary referral center. Electronic Medical Records of pediatric patients ages 0 to 18 presenting with sleep disordered breathing were reviewed for gestational age, polysomnographic findings, clinical characteristics, and OSA surgical interventions. Association between gestational age, polysomnographic characteristics, and surgical interventions for OSA were reported. A total of 615 patient records were analyzed. Adjusting for covariates, prematurity was associated with a 2.97× higher likelihood of development of severe OSA (aOR (95%CI): 2.97 (1.40-6.32)), increased apneic-hypoxic index (AHI) (mean (SD): 6.5 (9.8) vs. 4.6 (6.4), P < .05), increased end tidal CO2 (50.5 (5.11) vs. 48.5 (5.8), P < .05), decreased REM latency (116 (64.7) vs. 132.4 (69.9), P < .05), and increased number of surgeries for OSA (0.65 (.95) vs. 0.45 (0.69), P < .05) compared to children born at term. Children born with GA < 32 weeks presented at a significantly later age with sleep disordered breathing (7.04 (.80) vs. 5.1 (0.15), P < .05) than children born at term. Prematurity was associated with increased likelihood of severe OSA, increased AHI, as well as increased number of surgical interventions for OSA compared to children born at term. These results suggest an association with preterm birth and increased severity of childhood OSA. 3 Laryngoscope, 131:1909-1914, 2021.

Total durations of respiratory events are modulated within REM and NREM sleep by sleeping position and obesity in OSA patients

BackgroundSupine sleeping position and obesity are well-known risk factors for obstructive sleep apnea (OSA) and modulate the risk for OSA-related daytime symptoms. Although respiratory event durations are associated with OSA-related severe health consequences, it is unclear how sleeping position, obesity, and daytime sleepiness are associated with respiratory event durations during REM and NREM sleep. We hypothesize that irrespective of the apnea-hypopnea index (AHI), respiratory event durations differ significantly between various OSA subgroups during REM and NREM sleep. MethodsOne night in-lab polysomnographic recordings were retrospectively analyzed from 1910 untreated suspected OSA patients. 599 patients (AHI ≥ 5) were included in study and divided into subgroups based on positional dependency, BMI, and daytime sleepiness (Epworth Sleepiness Scale and Multiple Sleep Latency Test). Differences in total hypopnea time (THT), total apnea time (TAT), and total apnea-hypopnea time (TAHT) within REM and NREM sleep between the subgroups were evaluated. ResultsDuring REM sleep, positional OSA patients had lower THT (OR = 0.952, p < 0.001) and TAHT (OR = 0.943, p < 0.001) than their non-positional counterparts. Compared to normal-weight patients (BMI < 25 kg/m2), obese patients (BMI ≥ 30 kg/m2) had lower THT, TAT, and TAHT (ORs = 0.942–0.971, p ≤ 0.009) during NREM sleep but higher THT (OR = 1.057, p = 0.001) and TAHT (OR = 1.052, p = 0.001) during REM sleep. No significant differences were observed in THT, TAT, and TAHT between patients with and without daytime sleepiness. ConclusionRegardless of the AHI, respiratory event durations vary significantly between OSA sub-groups during REM and NREM sleep. Therefore, to personalize OSA severity estimation the diagnosis should be tailored based on patient's demographics, clinical phenotype, and PSG characteristics.

Risk factors and clinical prediction formula for the evaluation of obstructive sleep apnea in Asian adults

Obstructive sleep apnea is a highly prevalent cyclic repetitive hypoxia-normoxia respiratory sleep disorder characterized by intermittent upper-airway collapse. It is mainly diagnosed using in-laboratory polysomnography. However, the time-spatial constraints of this procedure limit its application. To overcome these limitations, there have been studies aiming to develop clinical prediction formulas for screening of obstructive sleep apnea using the risk factors for this disorder. However, the applicability of the formula is restricted by the group specific factors included in it. Therefore, we aimed to assess the risk factors for obstructive sleep apnea and develop clinical prediction formulas, which can be used in different situations, for screening and assessing this disorder. We enrolled 3,432 Asian adult participants with suspected obstructive sleep apnea who had successfully undergone in-laboratory polysomnography. All parameters were evaluated using correlation analysis and logistic regression. Among them, age, sex, hypertension, diabetes mellitus, anthropometric factors, Berlin questionnaire and Epworth Sleepiness Scale scores, and anatomical tonsil and tongue position were significantly associated with obstructive sleep apnea. To develop the clinical formulas for obstructive sleep apnea, the participants were divided into the development (n = 2,516) and validation cohorts (n = 916) based on the sleep laboratory visiting date. We developed and selected 13 formulas and divided them into those with and without physical examination based on the ease of application; subsequently, we selected suitable formulas based on the statistical analysis and clinical applicability (formula including physical exam: sensitivity, 0.776; specificity, 0.757; and AUC, 0.835; formula without physical exam: sensitivity, 0.749; specificity, 0.770; and AUC, 0.839). Analysis of the validation cohort with developed formulas showed that these models and formula had sufficient performance and goodness of fit of model. These tools can effectively utilize medical resources for obstructive sleep apnea screening in various situations.

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.

The effects of intermittent hypoxia on human nasal mucosa.

PurposeIntermittent hypoxia (IH) is characterized by hypoxia-reoxygenation, reported to be a critical risk factor for obstructive sleep apnea (OSA). This experiment aimed to evaluate the direct effects of IH on the human nasal mucosa.MethodsThe direct effects of IH on the human nasal mucosa was evaluated by measuring the ciliary beat frequency (CBF) and expression levels of inflammatory cytokines (granulocyte-macrophage colony-stimulating factor, transforming growth factor-β, interleukin-6, and tumor necrosis factor-α). The normoxia group was exposed to a normoxic condition for 72 h. The IH group was exposed to 288 cycles of IH (1 cycle: hypoxia, 5 min; subsequent normoxia, 10 min) for 72 h. CBF was measured using an automated computer-based video image processing technique. Changes in the expression of cytokines were assessed by real-time reverse transcription-polymerase chain reaction (RT-PCR).ResultsThe normoxia group revealed a persistent CBF pattern and a physiological range of inflammatory cytokines. However, the IH group showed a cyclic decrease in CBF and increased expression of inflammatory cytokines. Cytotoxicity assay indicated no difference in the survival rates between the two groups.ConclusionsIH results in increased expression of inflammatory cytokines that adversely affects the mucociliary transport in the upper airway and, consequently, may result in airway inflammation.

Sex Differences in Obstructive Sleep Apnea by Bioelectrical Impedance Analysis.

Background and PurposeObesity is known of one of the risk factors for obstructive sleep apnea (OSA). Although body mass index (BMI) can be an indicator for obesity, it does not represent the actual body composition of fat or muscle. We hypothesized that bioelectrical impedance analysis (BIA) can help analyze the fat and muscle distributions in males and females with OSA.MethodsThis study screened subjects who visited the Department of Neurology, Samsung Medical Center, Seoul, Korea due to sleep disturbances with symptoms suggestive of OSA from December 2017 to December 2019. All subjects underwent overnight type I polysomnography (PSG) and BIA.ResultsPSG and BIA were completed in 2,064 OSA patients who had an apnea-hypopnea index (AHI) of ≥5/hour (77.1% males and 22.9% females). The females had remarkably higher fat indicators and lower muscle indicators. The AHI was significant correlated with all BIA parameters in all OSA patients: body fat mass (ρ=0.286, p<0.001), percentage body fat (ρ=0.130, p<0.001), visceral fat area (VFA) (ρ=0.257, p<0.001), muscle mass (ρ=0.275, p<0.001), and skeletal muscle mass (SMM) (ρ=0.270, p<0.001). The correlations in males were similar to those in all patients, where those in females were not. In females with OSA, all of the BIA fat indicators were correlated with AHI, whereas the muscle indicators were not. Adjusting age and BMI when analyzing the SMM/VFA ratio showed a strong correlation in males with OSA (p=0.015) but not in females with OSA (p=0.354).ConclusionsThis study has revealed that the body composition of fat and muscle has different patterns in OSA patients. The SMM/VFA as measured using BIA is the factor most significantly associated with AHI in males but not in females after adjusting for age and BMI.

Obstructive sleep apnea risk factors and symptoms in children with a known parental obstructive sleep apnea diagnosis

ObjectiveTo document symptoms and risk factors of obstructive sleep apnea (OSA) in children who have a parent diagnosed with OSA and compare them to an age and sex matched sample where parents are low risk for OSA. MethodsWe recruited 25 children with a parent diagnosed with OSA (P-OSA) and 29 age and gender matched children from the community whose parents scored low risk for OSA (P-NOSA). Comparisons were made using the OSA-18 questionnaire, anthropometric measurements, and mallampati score. Statistical analysis included t-tests for OSA-18 score and BMI measures and non parametric analysis for mallampati score. OSA-18 domain scores were analysed using T-test and Bonferroni correction for multiple comparisons. ResultsFifty-six percent of the P-OSA group had a mallampati score of III/IV compared to 11% in the P-NOSA sample (p = 0.005). There was a significant difference in BMI between the P-OSA sample (mean ± SD 19.5 ± 5.7 kg/m2) and the P-NOSA sample (16.95 ± 2.08 kg/m2, p = 0.002). Forty-four percent of P-OSA children were found to be either overweight or obese (BMI z-score). None of the P-NOSA children fell into this category. No significant difference was found between the P-OSA and P-NOSA samples on the OSA-18 score (P-OSA 36.5 ± 8.1, P-NOSA 29.2 ± 9.1, p = 0.07). Five children in the P-OSA sample scored >60 but no P-NOSA children scored >60. ConclusionsThis study suggests that children with a parent diagnosed with OSA are more likely to have risk factors of pediatric OSA compared to age and sex matched children of parents without OSA but do not have more symptoms.

Gender-Specific Association of Body Fat Composition with Risk of Obstructive Sleep Apnea among People Living With HIV/AIDS: A Cross-Sectional Study

Background: Obesity and regional fat distribution are among the strongest risk factors for obstructive sleep apnea (OSA) in the general population. People living with HIV (PLHIV) may be at increased risk of OSA because of their distinct body fat composition. This study examined the association of body fat composition with the risk of OSA in PLHIV. Methods: We conducted a cross-sectional prospective study at a tertiary HIV care unit, recruiting 400 PLHIV [female: 317, 79.2%; median age of 44 years; median year of HIV duration of 5 years]. Participants were surveyed using standardized instruments to assess the risk of OSA, sleep duration and, sleepiness. Body fat composition was evaluated with anthropometric measurements and bioelectric impedance Results: Sixty-three of the participants (15.8%; 95% confidence interval [CI], 12.4%–19.8%) had risk of OSA, while 24 (6.0%) of them had risk of OSA and excessive day time sleepiness and 30 (7.5%) had risk of OSA with concomitant short sleep duration. BMI and markers of central obesity were significantly associated with risk of OSA in females but not in males. Waist circumference, Waist to hip ratio, Visceral fat level performed similarly in predicting the risk of OSA in females with Area Under the Curve (AUC) of 0.668, 95% CI (0.613, 0.719); 0.704, 95% CI (0.651, 0.754); 0.663, 95% CI (0.608, 0.715) respectively, with VFL having the best accuracy. Conclusions: The risk of OSA among PLHIV was associated with measures of visceral adiposity in females and not in males.

Risk Factors for Obstructive Sleep Apnea Associated with Poor COVID-19 Outcomes

Risk Factors for Obstructive Sleep Apnea Associated with Poor COVID-19 Outcomes

Clinical, polysomnographic, and cephalometric features of obstructive sleep apnea with AHI over 100.

Obstructive sleep apnea (OSA) is induced by a sleep-related collapse of the upper airway in association with multiple factors. The severity of OSA is determined by the apnea-hypopnea index (AHI). Although obesity and sex differences are common factors in OSA, the level of the AHI varies to the same degree according to the age and sex and degree of obesity. However, only a few studies have evaluated AHI over 100/h, those reports did not describe why they set the AHI cutoff at 100/h. The purpose of this study was to elucidate the pathogenesis of "very" severe OSA, defined as having an AHI > 100/h. AHI > 100/h was set as very severe OSA (VS-OSA) in this study. As controls, moderate to severe OSA patients, matched with VS-OSA for age, sex, and body mass index (BMI), were enrolled. The findings of polysomnography and cephalography between VS-OSA and controls were compared. Eleven patients in the VS-OSA group (mean AHI 110.2/h) and 22 patients in the control group (mean AHI 41.6/h) were compared (mean age 50.2 vs 50.6, male:female 5:6 vs 10:12, mean BMI 35.4kg/m2 vs 34.5kg/m2). There were no significant differences in the clinical characteristics. In the polysomnographic parameters, the VS-OSA group showed apnea predominance, the mean percutaneous oxygen saturation (SO2) was significantly lower in all sleep stages, and the minimum SO2 was significantly lower (49.0% vs 77.5%, p = 0.002). A similar apnea duration and rather shorter hypopnea duration were shown. The time of apnea-to-arousal was significantly earlier (- 0.1s vs 0.9s, p = 0.003). Lung-to-finger circulation time showed no differences. The cephalometric findings showed no significant differences. VS-OSA patients were more likely to have apnea predominance, desaturation when sleeping despite a similar apnea duration, and rather shorter hypopnea duration, and arousals were evoked significantly earlier.

Prothrombotic Factors in Obstructive Sleep Apnea: A Systematic Review With Meta-Analysis.

Previous studies revealed that the prothrombotic factors in patients with obstructive sleep apnea (OSA) remain controversial. The aim of the systematic review is to elucidate the relationship between prothrombotic factors and OSA. This systematic review was performed under the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. The literature we investigated was extracted from 4 main medical databases (PubMed, Web of Science, Cochrane Library, and Chinese databases) as of February 2020. We used significant weighted mean differences (SMDs) with 95% CIs from random-effects model. A total of 15 studies comprising 2190 patients were available for the meta-analysis. The pooled results showed that the levels of fibrinogen (SMD = 0.95, 95% CI = 0.26 to 1.65, P = .000), vascular endothelial growth factor (SMD = 0.37, 95% CI = -0.90 to 1.63, P = .000), and plasminogen activator inhibitor 1 (SMD = 0.61, 95% CI = 0.29 to 0.92, P = .040) increased in patients with OSA. There were no statistical differences between groups in terms of d-dimer (P = .108) and platelet counts (P = .233). Subgroup analyses demonstrated that specimen types and age could account for the heterogeneity. This meta-analysis indicated the relationship between prothrombotic factors in OSA hypopnea. Obstructive sleep apnea-related effects may underline the importance of considering the dysfunction of the hemostatic system. The prothrombotic factors in OSA can influence making a choice of appropriate therapy.

The impact of nasal surgery on sleep quality

ObjectiveNasal obstruction is considered to be one of the risk factors for obstructive sleep apnea, together with a high arched narrow palate, elongated uvula, malocclusion, and tongue and tonsil size. The impact of nasal obstruction on sleep apnea is controversial, however, and its relation to sleep quality is rarely discussed. The purpose of this study was to investigate the independent effect of nasal obstruction on sleep quality. MethodsSixty-nine patients with nasal obstructive symptoms and without sleep apnea episodes were enrolled from September 2018 to August 2019, and compared before and after surgery with thirty-four patients who had benign diseases of the thyroid or parathyroid as a control group, to investigate effects of surgery. Sleep quality was evaluated using the Japanese version of the Pittsburgh Sleep Quality Index (PSQI-J). All cases were reassessed at three months after surgery. ResultsThe postoperative PSQI scores in the nasal surgery group were significantly lower than the preoperative scores (p < 0.001). In contrast, there was no statistically significance difference between the pre- and postoperative PSQI scores in the neck surgery group. Difference of PSQI scores before and after surgery in the nasal surgery group was significantly higher than the neck surgery group. ConclusionsThis double-arm study suggests that reduction of nasal disfunction with nasal surgery contributes significantly to sleep quality, in patients who may not have noticed their impaired quality of sleep previously because of their long-term nasal symptoms.