Risk Factor For Obstructive Sleep Apnea Research Articles

Upper airway obstruction patterns among non-obese individuals with snoring and obstructive sleep apnea

BackgroundSnoring is an inspiratory noise due to partialobstruction of the upper airways. It is commonly linked to a sleep problem known as obstructive sleep apnea (OSA). The clinical criteria of OSA in non-obese patients are distinct and warrant more investigation, despite being well-studied in the obese population.ObjectiveThe aim of this study is to provide a diagnostic profile of snoring and OSA in non-obese patients using various assessment tools in order to identify upper airway obstruction patterns and potential risk factors in these patients to improve their management and prevent related comorbidities.MethodologyAn observational cross-sectional study of 30 non-obese (BMI < 29.9) snorers (18 males and 12 females) with a mean age of 38.13 ± 8.4 years. All patients underwent polysomnography and thorough clinical examination, including searching for possible risk factors/co-morbidity, Epworth Sleepiness Score (ESS), Mallampati score, awake upper airway endoscopy combined with Muller maneuver, and drug-induced sleep endoscopy (DISE).ResultsOSA presented in 80% of our patients, the age range of 17–58 years, apnea–hypopnea index (AHI) mean 20.63 ± 17.8 event/h, and its severity was mild 7 (23.3%), moderate 6 (20%), and severe 11 (36.7%). Findings of oral and nasal examination showed no association with AHI. Also, sleep endoscopy findings regarding specific structures causing upper airway obstruction showed no significant association. A positive correlation was found between the extent of retropalatal airway collapse and AHI. A notable association was found between smoking and AHI as a risk factor for OSA in non-obese individuals. No significant relationship was found between ESS, concomitant diseases, and AHI.ConclusionOSA is common in non-obese patients and probably may be attributed to retropalatal/oropharyngeal airway collapse and associated with smoking as a risk factor. Further studies are warranted to reveal other pathophysiological aspects in this group of patients.

The bidirectional interplay of obstructive sleep apnea and viral respiratory infections in children: A novel opportunity for primary prevention.

Obstructive sleep apnea (OSA) and viral respiratory infections are highly prevalent conditions in children and a major cause of respiratory morbidity in this age group. Severe viral respiratory infections are a known risk factor for pediatric OSA, which is primarily caused by hypertrophy of upper airway lymphoid tissues (adenoids and tonsils). This review examines recent progress in understanding early-life development of lymphoid tissues in the human upper airway, with a particular focus on how respiratory viruses may influence this process and contribute to OSA pathogenesis. It also explores the bidirectional relationship between OSA and severe viral infections, highlighting the need for ongoing monitoring and novel primary prevention strategies to address these interconnected conditions.

Cone beam computed tomography changes upon oral appliance therapy for adult patients with obstructive sleep apnea: A non-randomized clinical trial.

Obstructive sleep apnea (OSA) is caused by narrowing or obstruction of the airway lumen at single or multiple levels of the airway, starting from the nasal cavity up to the larynx. Oral appliance therapy for the management of OSA is prescribed as an alternative treatment option for patients with mild to moderate OSA who fail to adhere to Continuous Positive Airway Pressure (CPAP) therapy. Treatment with oral appliances addresses the craniofacial deficiencies that cause OSA by providing means to mandibular advancement and palatal expansion, thus opening the airways and potentially preventing airway collapse during sleep. Imaging the upper airway is employed to investigate the narrowing or the obstruction in the airway. Three-dimensional imaging modalities such as cone beam computed tomography (CBCT) allow for detecting obstructions before commencing treatment and for evaluating changes in the upper airway dimensions after treatment. To evaluate the effect of the biomimetic oral appliance therapy (BOAT) device on the airway measurements taken from a CBCT before and after treatment in correlation with the changes in the AHI. A non-randomized clinical trial. About 17 patients with mild-moderate OSA (9 males, 8 females; age, mean [SD]: 45.76 [10.31]) underwent BOAT therapy. Subjects had 2 months of follow-up visits, including examinations for progress and adjustment of the appliances. The mean apnea-hypopnea index (AHI) with no appliance in the mouth before BOAT and after treatment was recorded. The midpalate screw mechanism of the appliance was advanced once per week. The subjects were asked to wear the appliance for 10 to 12 h/d and night. Pre and Post CBCT were taken. Paired T-test was used to analyze the results. The treatment duration was 15.4 ± 6.3 months. Before treatment, at the diagnosis stage, the mean AHI of the sample (n = 17) was 24.0. After treatment, the mean AHI fell by 5% to 22.8% (P = .019), indicating enhanced upper airway functions. Airway measurements from the CBCT were not statistically significant despite improvement in the polysomnographic parameters. CBCT is a valuable tool for airway assessment and the determination of upper airway anatomic risk factors for OSA.

The Relationship Between NLRP3 Inflammasome and Its Downstream Inflammatory Factors in Obstructive Sleep Apnea Patients with Carotid Atherosclerosis Under Cigarette Exposure

Aim: To study the relationship between NLRP3 (nucleotide oligomerization domain [NOD]-, leucine-rich repeats [LRR]-, and pyrin domain-containing protein 3) inflammasome and its downstream inflammatory factors in obstructive sleep apnea (OSA) patients with carotid atherosclerosis (CAS) under cigarette exposure, further exploring the risk factors of CAS in OSA patients. Methods: A total of 109 adult males who underwent polysomnography and carotid artery ultrasonography in our hospital from October 2019 to December 2021 were selected. According to the detection results, they were divided into the OSA group, the CAS group, and the OSA combined CAS group; additionally, 29 healthy subjects who underwent a physical examination were also included. According to whether they were smoking, the groups were further divided into smoking and non-smoking groups. The age, body mass index (BMI), blood pressure, apnea-hypopnea index (AHI), lowest blood oxygen saturation (LSaO2), carotid intima-media thickness (CIMT), levels of blood sugar, blood low-density lipoprotein cholesterol (LDLc), and serum NLRP3, interleukin-1β (IL-1β), and interleukin-18 (IL-18) of all subjects were recorded. Results: The OSA combined CAS group had higher LDLc levels and AHI and lower LSaO2 than the OSA group and CAS group. The levels of serum NLRP3, IL-1β, and IL-18 in the OSA group were higher than those in the normal control group (P &lt; 0.05); and those in the OSA combined CAS group were higher than the OSA group and CAS group (P &lt; 0.05), regardless of cigarette exposure. Considering cigarette exposure, serum NLRP3, IL-1β, and IL-18 levels were higher in the OSA, CAS, and OSA combined CAS smoking groups than those in the non-smoking group (P &lt; 0.05). Under cigarette exposure, AHI, LDLc, NLRP3, IL-1β, and IL-18 were significantly positively correlated (P &lt; 0.05), and LSaO2 was negatively correlated with CAS in OSA (P &lt; 0.05). AHI, LSaO2, LDLc, NLRP3, and IL-1β are the risk factors for OSA combined with CAS. Conclusion: LSaO2, AHI, LDLc, NLRP3, and IL-1β are the important risk factors for OSA combined with CAS under cigarette exposure, and their levels can be used to predict the occurrence of CAS in OSA.

Correlations between clinical parameters and PSQ in children with suspected OSA

The aim of this study was to measure tonsils and adenoid vegetations, investigate the modified Mallampati score, determine BMI according to body mass and corresponding percentile, and compare these data with the results of the Pediatric Sleep Questionnaire (PSQ). The subjects were children aged 2 to 18 who were indicated for adenotonsillectomy at the Clinic for Otorhinolaryngology and Head and Neck Surgery. A doctor specialist conducted the clinical examinations. According to the PSQ, 75 subjects were divided into two groups: those at high risk and those at low risk for developing obstructive sleep apnea (OSA). The PSQ results showed that 45 subjects (60 %) were at high risk for OSA, and these subjects had significantly lower weight and BMI. Although a higher number of subjects had grade 4 tonsils and grade 3 and 4 adenoids, this distribution was not statistically significant. There was no statistically significant difference in the distribution of the modified Mallampati score when compared with the PSQ results. Lower body mass and BMI were statistically significant risk factors for OSA, while the size of the tonsils and adenoids, as well as the modified Mallampati score, did not show any statistically significant difference in comparison with the PSQ results.

Asthma and Obstructive Sleep Apnea Overlap in a Sample of Older American Indian Adults: The Strong Heart Study.

Study Objectives: Our study aimed to investigate the association between asthma and obstructive sleep apnea (OSA) in American Indian communities, a historically underrepresented population in clinical research with a high prevalence of asthma and OSA risk factors like smoking and obesity. Methods: This cross-sectional study used data retrieved from the Strong Heart Study cohort. Participants who attended both the Asthma Sub-study and the Sleep Heart Health Study around the same time were compared for active asthma diagnosis, OSA diagnosis, and potential risk factors for asthma and OSA. The association between asthma and OSA was then evaluated. Results: Among the 2480 participants who attended the Strong Heart Study Phase III exam, 123 participated in both the Asthma Sub-study and the Sleep Heart Health Study. Of these, 13 were diagnosed with OSA, with 4 having moderate to severe OSA. There was no statistically significant difference in OSA prevalence between the active asthma group and the non-active asthma group (former asthma or no asthma) (9.6% vs. 12.5%, p = 0.63). Additionally, body mass index did not differ significantly between participants with both active asthma and OSA and those without active asthma, OSA, or both. OSA diagnosis was significantly associated with male sex (Odds Ratio [OR] 9.2 [1.85-45.87], p = 0.007) and body mass index (OR 1.1 [1.02-1.26], p = 0.016) but not with age or a diagnosis of active asthma. Conclusions: In this American Indian cohort, no significant difference in OSA prevalence was observed between participants with and without active asthma, contradicting previous studies. Further research is needed to explore the underlying reasons for this discrepancy.

Obstructive Sleep Apnea, Platelet Aggregation, and Cardiovascular Risk.

Although related, the precise mechanisms linking obstructive sleep apnea (OSA) and cardiovascular disease (CVD) are unclear. Platelets are mediators of CVD risk and thrombosis and prior studies suggested associations of OSA and platelet activity. The aim of this study is to assess the link between OSA, platelet activity, and CVD-related risk factors. We studied the association of OSA-measures and platelet aggregation in participants dually enrolled in the SHHS (Sleep Heart and Health Study) and FHS (Framingham Heart Study). We applied linear regression models with adjustment for demographic and clinical covariates and explored interactions with OSA and CVD-related factors, including age, sex, body mass index, hypertension, OSA diagnosis (apnea-hypopnea index 4%≥5), and aspirin use. Our final sample was of 482 participants (60 years [14.00], 50.4% female). No associations were observed between apnea-hypopnea index 4% and platelet aggregation in the main sample. Stratified analysis revealed an association in aspirin users (n=65) for our primary exposure (apnea-hypopnea index 4%, β=0.523; P<0.001; n=65), and secondary exposures: hypoxic burden (β=0.358; P<0.001), minimum saturation (β=-0.519; P=0.026), and oxygen desaturation index 3% (β=74.672; P=0.002). No associations were detected in nonaspirin users (n=417). No associations were detected between OSA and platelet aggregation in a community sample. Our finding that OSA associates with increased platelet aggregation in the aspirin group, most of whom use it for primary prevention of CVD, suggests that platelet aggregation may mediate the adverse impact of OSA on vascular health in individuals with existing CVD risk, supporting further investigation.

TEMPORARY REMOVAL: Implications of maxillary expansion for the craniofacial phenotype in pediatric and adolescent obstructive sleep apnea

Obstructive Sleep Apnea (OSA) in growing children and adolescents is a multifaceted condition marked by recurrent episodes of breathing interruptions during sleep due to upper airway collapsibility. The pathophysiology of pediatric OSA includes neuromotor dysfunction, inflammation, and anatomical factors related to soft tissues and craniofacial morphology. The prevalence of OSA in children varies between 1-10%, and its impact can extend to behavioral, neurocognitive, cardiovascular, and metabolic issues. Adolescence poses unique diagnostic challenges due to significant physical and hormonal changes, necessitating age-appropriate criteria for OSA assessment.Maxillary transverse deficiency (MTD) is recognized as a critical craniofacial risk factor for pediatric OSA. Rapid Maxillary Expansion (RME) has garnered attention for its ability to open the midpalatal suture, expand the nasal and oropharyngeal airways, and reduce nasal resistance, thereby improving respiratory function. While RME is effective in many cases, microimplant-assisted RME is a promising alternative for severe cases or when conventional RME is insufficient. This technique offers enhanced skeletal expansion and airway improvement, though further research is needed to validate its functional benefits.Case reports highlight the successful application of RME and microimplant-assisted RME in treating pediatric OSA. These interventions resulted in significant improvements in airway dimensions, reduction in apnea-hypopnea index (AHI), and alleviation of symptoms such as snoring and daytime sleepiness.

Nasal resistance and inflammation: mechanisms for obstructive sleep apnea from chronic rhinosinusitis.

We have previously estimated that the prevalence of obstructive sleep apnea (OSA) among World Trade Center rescue and recovery workers is 75% and identified that having symptoms of chronic rhinosinusitis (CRS) is an independent risk factor for OSA in this population. Nasal inflammation and/or elevated awake nasal resistance that carried over into sleep could explain this association. To understand the mechanism(s) for the elevated risk of OSA observed in World Trade Center responders with CRS symptoms we examined if elevated awake supine nasal resistance was associated with OSA, CRS and/or nasal inflammatory biomarkers. A total of 601 individuals (83% male, average age 53 years, body mass index = 29.9 ± 5.5 kg/m2) enrolled in the World Trade Center Health Program and without significant snoring prior to September 11, 2001 underwent 2 nights of home sleep apnea testing, measurements of anterior rhinomanometry in the supine position, and nasal lavage. Awake supine nasal resistance was not associated with OSA; 74.8% and 74.4% of the participants with low and high nasal resistance respectively, had OSA. Patients with CRS had elevated nasal inflammatory markers (interleukin 6, interleukin 8, eosinophilic cationic protein, and neutrophil) but did not have high nasal resistance. Nasal inflammatory markers were not correlated with nasal resistance. As awake nasal resistance did not explain the relationship of CRS to OSA in this large and well characterized dataset, our findings suggest that either "sleep" nasal resistance or other factors such as increased supraglottic inflammation, perhaps through impairing upper airway reflex mechanisms, or systemic inflammation are involved in the pathophysiology of OSA in the World Trade Center population. Ayappa I, Laumbach R, Black K, etal. Nasal resistance and inflammation: mechanisms for obstructive sleep apnea from chronic rhinosinusitis. J Clin Sleep Med. 2024;20(10):1627-1636.

Socioeconomic determinants of moderate and severe obstructive sleep apnea in children: A pre and post COVID analysis

IntroductionCOVID-19 has disproportionately affected healthcare access of certain minority groups, and thus could contribute to delay in timely evaluation and management of pediatric obstructive sleep apnea (OSA). Socioeconomic status (SES) is known to affect healthcare access in pediatric otolaryngology and may also be a risk factor for OSA and its associated co-morbidities. ObjectivesOur primary objective is to determine the impact of COVID-19 on time to diagnosis (TTD) and time to treatment (TTT) of polysomnography (PSG)-proven moderate to severe pediatric OSA in different socioeconomic classes. Secondary objectives include determining the impact of racial and demographic factors on TTD and TTT. MethodsThis is a retrospective chart review of 120 children; 60 children pre-COVID (February 2018 to February 2020), and 60 children post-COVID onset (March 2020 to March 2022). This study was performed at a pediatric teaching hospital and tertiary referral center, and involved children aged 3–17 years old with outpatient PSG-proven moderate to severe OSA. Approval was obtained from our hospital's institutional review board (IRB). ResultsThere were a total of 120 children, 60 in each group. The average age was 9.5 years old; females constituted 41.6 % of the sample. TTD increased from 53.7 days pre-covid to 103 days post-COVID onset in all children (p = 0.00), 42.5 days–151.9 days in white children (p = 0.00), 38 days–142.7 days in children with high SES (p = 0.00), 32.1 days–146.5 days in children with private insurance (p = 0.00), and 65.7 days–105.8 days in children with public insurance (p = 0.04). TTT did not change significantly. ConclusionOur results show that TTD of OSA and obesity in advantaged groups were affected to a greater degree than disadvantaged groups. This suggests children of all socioeconomic groups are susceptible to healthcare disparities and the COVID-19 pandemic has uncovered the vulnerability of such populations. Policymakers should consider providing more funding and support for all children, including continued funding for those with lower SES.

Relationship between size of pharyngeal and palatine tonsils and apnea-hypopnea index in pediatric obstructive sleep apnea.

To determine whether the combination of the pharyngeal tonsil grade and palatine tonsil grade results in differences in the apnea-hypopnea index (AHI) and to determine whether each parameter separately (pharyngeal tonsil grade and palatine tonsil grade) results in differences in severe obstructive sleep apnea (OSA). This cross-sectional study involved 107 children (mean age, 7.2 years; range, 4-12 years) suspected of having OSA because of snoring or sleep-related complaints. The patients underwent polysomnography, and their palatine and pharyngeal tonsils were graded. In examining whether the palatine tonsils and pharyngeal tonsils could be risk factors for severe OSA, the adjusted odds ratios were 4.42 for palatine tonsil grade 4 versus 1-3 and 10.40 for pharyngeal tonsil grade 4 versus 1-3; both were highly statistically significant. We also found that the AHI when both the pharyngeal and palatine tonsils were grade 4 was higher than the AHI expected for the pharyngeal and palatine tonsils alone. The combination of grade 4 pharyngeal tonsils and grade 4 palatine tonsils resulted in an AHI much higher than the AHI of other combinations (pharyngeal tonsils grades 1-3 and 4, palatine tonsils grades 1-3 and 4). We believe that grade 4 pharyngeal tonsils and grade 4 palatine tonsils have a great influence on severe OSA and that grade 4 pharyngeal tonsils increase the AHI.

Effect of obesity on sleep apnea pathogenesis differs in women versus men: multiple mediation analyses in the retrospective SNOOzzzE cohort.

There are multiple mechanisms underlying obstructive sleep apnea (OSA) development. However, how classic OSA risk factors such as body mass index (BMI) and sex portend to OSA development has not been fully described. Thus we sought to evaluate how obesity leads to OSA and assess how these mechanisms differ between men and women. The San Diego Multi-Outcome OSA Endophenotype (SNOOzzzE) cohort includes 3,319 consecutive adults who underwent a clinical in-laboratory polysomnography at the University of California, San Diego, sleep clinic between January 2017 and December 2019. Using routine polysomnography signals, we determined OSA endotypes. We then performed mediation analyses stratified by sex to determine how BMI influenced the apnea-hypopnea index (AHI) using OSA pathophysiological traits as mediators, adjusting for age, race, and ethnicity. We included 2,146 patients of whom 919 (43%) were women and 1,227 (57%) were obese [body mass index (BMI) > 30 kg/m2]. BMI was significantly associated with AHI in both women and men. In men, the adjusted effect of BMI on AHI was partially mediated by a reduction in upper airway stiffness (βstandardized = 0.124), a reduction in circulatory delay (βstandardized = 0.063), and an increase in arousal threshold (βstandardized = 0.029; Pboot-strapped,all < 0.05). In women, the adjusted effect of BMI on AHI was partially mediated by a reduction in upper airway stiffness (βstandardized = 0.05) and circulatory delay (βstandardized = 0.037; Pboot-strapped,all < 0.05). BMI-related OSA pathogenesis differs by sex. An increase in upper airway collapsibility is consistent with prior studies. A reduction in circulatory delay may lead to shorter and thus more events per hour (higher AHI), while the relationship between arousal threshold and OSA is likely complex.NEW & NOTEWORTHY Our data provide important insights into obesity-related obstructive sleep apnea (OSA) pathogenesis, thereby validating, and extending, prior research findings. This is the largest sample size study to examine the relationships between obesity and gender on OSA pathogenesis. The influence of obesity on sleep apnea severity is mediated by different mechanistic traits (endotypes).

The Resolution of Obstructive Sleep Apnea in a Patient with Goiter after Total Thyroidectomy: A Case Report

Obstructive sleep apnea (OSA) may be linked to various factors that narrow the upper airways, such as obesity, adenotonsillar hypertrophy and craniofacial abnormalities. Hypothyroidism has also been described as a risk factor for OSA. However, the implication of goiter independently of thyroid function in the occurrence of OSA remains unclear. We present the case of a 66-year-old woman with a large compressive multinodular goiter for whom total thyroidectomy was indicated. During the preoperative assessment, the patient had a body mass index (BMI) of 37.8 kg/m2 with symptoms of OSA. Respiratory polygraphy confirmed the diagnosis of severe OSA (apnea–hypopnea index (AHI) = 32), and treatment with continuous positive airway pressure (CPAP) was initiated prior to thyroid surgery. Surprisingly, after total thyroidectomy, OSA symptoms disappeared, and the patient abandoned CPAP therapy. Subsequent respiratory polygraphy after thyroidectomy showed a decrease in AHI to a normal value (AHI &lt; 5). Interestingly, there was no change in BMI or other factors explaining the resolution of OSA, except for thyroidectomy. This case report suggests that goiter can be considered a risk factor for OSA. However, prospective studies are needed to accurately assess the effects of goiter on the occurrence of OSA according to its dimensions and local extension.

Monitoring of Home Respiratory Polygraphy During Mandibular Distraction Osteogenesis Succeeded by LeFort I Osteotomy in Adult Patients With Obstructive Sleep Apnea

BackgroundBilateral Internal Ramus Distraction (BIRD) is now part of select protocols for treating obstructive sleep apnea (OSA). Introducing a home monitoring protocol offers a valuable alternative to overnight laboratory polysomnography (PSG). PurposeThe purpose of this study was to evaluate and compare OSA parameters obtained via home respiratory polygraphy (HRP) and hospital PSG in a cohort of patients undergoing mandibular distraction (MD) for OSA management. Study designHospital Universitario La Princesa (Madrid) researchers conducted a prospective cohort study with patients diagnosed with moderate (AHI=15-30) to severe (AHI>30) OSA undergoing BIRD followed by LeFort maxillary osteotomy. Exclusion criteria were: severe systemic diseases, central apneas, smoking, poor dental hygiene, or prior OSA interventions. Predictor variableThe predictor variable was PSG and HRP techniques. Main outcome variablesThe main outcome variable comprises a collection of OSA parameters, including the apnea-hypopnea index (AHI), oxygen desaturation index (ODI), and time spent below 90% oxygen saturation (T90). These data were measured both before and after distraction, as well as after 6 mm, 9 mm, and 12 mm of mandibular distraction (MD). CovariatesThe covariates were age, sex, cardiovascular risk parameters, and Epworth sleepiness scale. AnalysesPearson’s correlation analyzed AHI, ODI, and T90 values from PSG and HRP. Wilcoxon Signed Rank Sum Test compared two distraction stages, and the Friedman Test evaluated three stages (p<0.05). Multiple regression analysis assessed if covariates were independent risk factors for postoperative persistent OSA. ResultsThe study included 32 patients (25% with moderate and 75% with severe OSA). Final AHI was 10.9±8.9 (events/hour) with HRP, compared to 15.2±13.4 with PSG (r=0.7, p<0.05). ODI was 9.0±8.1 (des/h) with HRP and 8.7±9.5 with PSG (r=0.85, p<0.05). T90 was 1.6±2.2 with HRP and 1.3±3.0 with PSG (r=0.6, p<0.05). Based on HRP data, AHI improved from D1 (34.0±19.5) to D2 (20.8±14.1) and D3 (12.5±10.4) (p<0.05). ODI decreased from D1 (26.1±19.0) to D2 (16.0±12.6) and D3 (9.4±8.8) (p<0.05). T90 reduced from D1 (8.2±12.6) to D2 (4.1±5.2) and D3 (1.9±2.8) (p<0.05). Multiple regression analysis of comorbidities produced non-significant results. ConclusionTo monitor BIRD through HRP has demonstrated efficacy in yielding results that align with PSG.

Homocysteine as a predictor of apnea-hypopnea index in obstructive sleep apnea: a longitudinal epidemiological study (EPISONO).

Obstructive sleep apnea (OSA) affects nearly 1 billion people globally, and has established links with cardiovascular and neurocognitive complications. Although it has some limitations, the apnea-hypopnea index (AHI) is commonly used to gauge OSA severity and therapeutic response. Homocysteine (Hcy) metabolism, when impaired, can elicit cellular senescence mechanisms that may be shared with OSA. Hence, our objective was to explore the role of Hcy concentrations both as a predictor of AHI values and as a potential risk factor for OSA. Involving 1042 volunteers aged 20 to 80years, the initial study (2007) included polysomnographic evaluations, questionnaires on sleep and general health, as well as biochemical analyses. After an 8-year interval, 715 participants from the initial study were invited for a follow-up assessment in 2015. Our findings showed that Hcy was a predictor for an increased AHI, and AHI increased over time. Individuals with plasma Hcy concentrations ≥ 15µmol/L experienced an average AHI increase of 7.43 events/hour ([beta coefficient] β = 7.43; 95%CI 2.73 to 12.13) over time, compared to those with plasma concentrations < 10µmol/L. A similar trend was apparent in those with plasma Hcy concentrations between 10 ≥ and < 15µmol/L, who had an AHI increase with an average beta coefficient of 3.20 events/hour (95%CI 1.01 to 5.39) compared to those with plasma Hcy concentrations < 10µmol/L. In summary, our study suggests that increased plasma Hcy concentrations could be considered a risk factor for the development of OSA. These findings highlight that elevated plasma Hcy concentrations can predict the severity of OSA, underscoring their correlation with the AHI.

Sickle Cell Disease Phenotypes and Obstructive Sleep Apnea; Are They Related?

This study aims to compare the polysomnographic features between Arab-Indian and Benin phenotypes of sickle cell disease (SCD). This prospective cross-sectional study was conducted in the Children's Hospital at King Fahad MedicalCity, in Riyadhwhere childrenwere recruited fromthe pediatric hematology clinic and pediatric sleepmedicine. All families were approached and patients who met the inclusion criteria and agreed to participate were included in the study. Eighty four children (37 of whom were females) with SCD were included in the study. Their median (interquartile) age was 9 (6.65, 11) years and their body mass index z score was -1.45 (-2.195, -1.45). The evidence of obstructive sleep apnea (OSA) was more prominent in the Benin phenotype (66.7%) in comparison to those of the Arab-Indian (35.2%) phenotype ( p = 0.006). Additionally, 56.7% of Benin had moderate to severe OSA whereas Arab-Indian had 18% with a ( p = 0.0003). Controlling for other factors, the odds ratio (confidence interval) of having OSA in Benin phenotype was 4.68 (1.42-15.38) times higher as compared to Arab-Indian phenotype. The risk of having OSA as well as the severity of OSA is higher in Benin phenotype as compared to Arab-Indian phenotype which indicates the presence of potential OSA risk factors other than the SCD itself.

A pilot observation using ultrasonography and vowel articulation to investigate the influence of suspected obstructive sleep apnea on upper airway

Failure to employ suitable measures before administering full anesthesia to patients with obstructive sleep apnea (OSA) who are undergoing surgery may lead to developing complications after surgery. Therefore, it is very important to screen OSA before performing a surgery, which is currently done by subjective questionnaires such as STOP-Bang, Berlin scores. These questionnaires have 10–36% specificity in detecting sleep apnea, along with no information given on anatomy of upper airway, which is important for intubation. To address these challenges, we performed a pilot study to understand the utility of ultrasonography and vowel articulation in screening OSA. Our objective was to investigate the influence of OSA risk factors in vowel articulation through ultrasonography and acoustic features analysis. To accomplish this, we recruited 18 individuals with no risk of OSA and 13 individuals with high risk of OSA and asked them to utter vowels, such as /a/ (as in “Sah”), /e/ (as in “See”). An expert ultra-sonographer measured the parasagittal anterior–posterior (PAP) and transverse diameter of the upper airway. From the recorded vowel sounds, we extracted 106 features, including power, pitch, formant, and Mel frequency cepstral coefficients (MFCC). We analyzed the variation of the PAP diameters and vowel features from "See: /i/" to "Sah /a/" between control and OSA groups by two-way repeated measures ANOVA. We found that, there was a variation of upper airway diameter from “See” to “Sah” was significantly smaller in OSA group than control group (OSA: ∆12.8 ± 5.3 mm vs. control: ∆22.5 ± 3.9 mm OSA, p < 0.01). Moreover, we found several vowel features showed the exact same or opposite trend as PAP diameter variation, which led us to build a machine learning model to estimate PAP diameter from vowel features. We found a correlation coefficient of 0.75 between the estimated and measured PAP diameter after applying four estimation models and combining their output with a random forest model, which showed the feasibility of using acoustic features of vowel sounds to monitor upper airway diameter. Overall, this study has proven the concept that ultrasonography and vowel sounds analysis may be useful as an easily accessible imaging tool of upper airway.

Quality of Life in Metabolic Syndrome Patients Based on the Risk of Obstructive Sleep Apnea.

Despite the impact of metabolic syndrome (MetS) and obstructive sleep apnea (OSA) on a sizeable proportion of the global population, the difference in the quality of life (QoL) between a group without risk factors for OSA and a group with risk factors for OSA among individuals with MetS is currently unclear. This study aimed to identify the determinants of QoL in patients with MetS with and without OSA risk factors and to analyze differences between these two groups. Data were extracted from the 2020 Korea National Health and Nutrition Examination Survey (KNHANES). The Rao-Scott χ2 test was performed to evaluate differences in baseline characteristics based on OSA risk factors. A t-test was performed to evaluate differences in the baseline QoL, and linear regression analysis was performed to identify the effect on the QoL of the two groups. The factors affecting QoL in the low-risk group included age, education level, and depression. The factors affecting QoL in the high-risk group were physical activity and depression. These results suggest that nursing interventions should be devised according to patients' characteristics to help improve their QoL.

Genetic Analysis of Obstructive Sleep Apnea and Its Relationship with Severe COVID-19.

Rationale: Although patients with obstructive sleep apnea (OSA) have a higher risk for coronavirus disease (COVID-19) hospitalization, the causal relationship has remained unexplored. Objectives: To understand the causal relationship between OSA and COVID-19 by leveraging data from vaccination and electronic health records, genetic risk factors from genome-wide association studies, and Mendelian randomization. Methods: We elucidated genetic risk factors for OSA using FinnGen (total N = 377,277), performing genome-wide association. We used the associated variants as instruments for univariate and multivariate Mendelian randomization (MR) analyses and computed absolute risk reduction against COVID-19 hospitalization with or without vaccination. Results: We identified nine novel loci for OSA and replicated our findings in the Million Veteran Program. Furthermore, MR analysis showed that OSA was a causal risk factor for severe COVID-19 (P = 9.41 × 10-4). Probabilistic modeling showed that the strongest genetic risk factor for OSA at the FTO locus reflected a signal of higher body mass index (BMI), whereas BMI-independent association was seen with the earlier reported SLC9A4 locus and a MECOM locus, which is a transcriptional regulator with 210-fold enrichment in the Finnish population. Similarly, multivariate MR analysis showed that the causality for severe COVID-19 was driven by BMI (multivariate MR P = 5.97 × 10-6, β = 0.47). Finally, vaccination reduced the risk for COVID-19 hospitalization more in the patients with OSA than in the non-OSA controls, with respective absolute risk reductions of 13.3% versus 6.3%. Conclusions: Our analysis identified novel genetic risk factors for OSA and showed that OSA is a causal risk factor for severe COVID-19. The effect is predominantly explained by higher BMI and suggests BMI-dependent effects at the level of individual variants and at the level of comorbid causality.

Causal Effects of Blood Metabolites and Obstructive Sleep Apnea: A Mendelian Randomization Study.

Obstructive sleep apnea (OSA) is one of the most common forms of sleep-disordered breathing. Studies have shown that certain changes in metabolism play an important role in the pathophysiology of OSA. However, the causal relationship between these metabolites and OSA remains unclear. We use a mendelian randomization (MR) approach to investigate the causal associations between the genetic liability to metabolites and OSA. We performed a 2-sample inverse-variance weighted mendelian randomization analysis to evaluate the causal effects of genetically determined 486 metabolites on OSA. Multiple sensitivity analyses were performed to assess pleiotropy. We used multivariate mendelian randomization analyses to assess confounding factors and mendelian randomization Bayesian model averaging to rank the significant biomarkers by their genetic evidence. We also conducted a metabolic pathway analysis to identify potential metabolic pathways. We identified 14 known serum metabolites (8 risk factors and 6 protective factors) and 12 unknown serum metabolites associated with OSA. These 14 known metabolites included 8 lipids( 1-arachidonoylglycerophosphoethanolamine, Tetradecanedioate, Epiandrosteronesulfate, Acetylca Glycerol3-phosphate, 3-dehydrocarnitine, Margarate17:0, Docosapentaenoaten3;22:5n3), 3 Aminoacids (Isovalerylcarnitine,3-methyl-2-oxobutyrate,Methionine), 2 Cofactors and vitamins [Bilirubin(E,ZorZ,E),X-11593--O-methylascorbate], 1Carbohydrate(1,6-anhydroglucose). We also identified several metabolic pathways that involved in the pathogenesis of OSA. MR (mendelian randomization) approach was performed to identify 6 protective factors and 12 risk factors for OSA in the present study. 3-Dehydrocarnitine was the most significant risk factors for OSA. Our study also confirmed several significant metabolic pathways that were involved in the pathogenesis of OSA. Valine, leucine and isoleucine biosynthesis metabolic pathways were the most significant metabolic pathways that were involved in the pathogenesis of OSA.