Occurrence Of Obstructive Sleep Apnea Research Articles

Comparative evaluation of the upper pharyngeal airway among children with/without UCLP and with/without OSA.

To evaluate the volume and the most constricted cross-sectional area (lumen) sizes of the upper pharyngeal airway among children with/without unilateral cleft lip and palate (UCLP) and with/without obstructive sleep apnea (OSA). This prospective study was conducted on 66 Thai children aged 5 to 12 years, encompassing demographic information, polysomnographic data, and sex distribution: 34 with non-syndromic UCLP (16 with OSA; 18 without OSA) and 32 non-cleft children (16 with OSA; 16 without OSA). Subjects were divided into two age groups: preadolescent group (ages 10-12) and younger group (ages 5-9). Cone-beam computed tomography images were acquired with subjects in a supine position. Subsequent measurements were conducted using the Dolphin imaging program (version 11.7 premium) to investigate and compare the volumes and lumens of the nasopharyngeal, oropharyngeal, and hypopharyngeal airways. In the younger group, the UCLP with OSA group exhibited significantly smaller volumes and lumens in the oropharyngeal airway compared to the non-cleft group without OSA (volume: p = 0.044; lumen: p = 0.031, 95% CI). All upper pharyngeal airway parts had comparable volumes and lumens between age groups. However, preadolescence reported no significant differences. Statistically significant differences were observed only in the oropharyngeal airway measurements in the younger sample compared to the adolescent sample. This underscores the importance of considering oropharyngeal airway structure in diagnosing and preventing OSA in children. However, it is essential to note that while airway size is a fundamental factor, it may not be the sole determinant of OSA occurrence. Other factors likely contribute to the condition as well.

Development and external validation of a Nomogram to predict obstructive sleep apnea in Children

To develop a nomogram model to predict obstructive sleep apnea in children and perform an external validation. 864 children who underwent polysomnography at our hospital were randomly assigned to a training cohort and an internal validation cohort (7:3) and 292 children at another hospital were enrolled for external validation. Logistic regression analyses were performed to explore the risk factors for obstructive sleep apnea. Features selected by least absolute shrinkage and selection operator logistic regression were enrolled to develop a predictive nomogram, which was assessed by discrimination, calibration, and clinical benefit in three cohorts and six subgroups from the all development cohort: age, gender, nonobese children, and term children. Furthermore, the nomogram was compared with the Obstructive Sleep Apnea-18 questionnaire. Six features were selected to construct the nomogram: adenoid hypertrophy, tonsil size 2, tonsil size 3, birth weight, total sleep time, and the lowest oxygen saturation. The areas under the curve of the nomogram in the training cohort [0.784, 95%CI (0.746–0.821)], internal validation cohort [0.780 (0.721–0.840)], and external validation cohort [0.782 (0.726–0.838)] were higher than those of the OSA-18 and remained stable in subgroups. Calibration curves and decision curve analysis both exhibited favorable performance.Conclusion: The nomogram with satisfactory performance was constructed as a robust tool for evaluating the risk of obstructive sleep apnea in children.What is Known:• Obstructive sleep apnea (OSA) is common in children and is closely related to multiple system dysfunction, while still remains underdiagnosed and undertreated because of the limited usage of polysomnography.• A prediction model for accurately identifying OSA in children is warranted in a subsequent recommendation of essential PSG to provide proper treatment and delay the occurrence of OSA complications.What is New:• Adenoid hypertrophy, tonsil size 2, tonsil size 3, birth weight, total sleep time, and the lowest oxygen saturation were risk factors of children with OSA.• This nomogram with satisfactory performance was a robust tool for evaluating the risk of OSA in children.

Obstructive Sleep Apnoea and Type 1 Diabetes Mellitus: A Neglected Relationship?

Obstructive sleep apnoea (OSA) is regarded as a major health condition, progressively affecting an increased number of people around the world. The interplay between OSA and type 2 diabetes mellitus (T2DM) has been extensively studied. However, little is known about the relationship between OSA and type 1 diabetes mellitus (T1DM). This review provides insight into the prevalence of OSA in T1DM and its relationship with diabetic complications. Studies have hitherto yielded contradictory results on the occurrence of OSA in T1DM. Indeed, the risk of OSA in T1DM has ranged from 1 in 10 to more than 1 in 2 T1DM subjects. This high occurrence was confirmed by objective polysomnography as well as widely used subjective questionnaires. Multiple studies revealed the important correlation between OSA and diabetes complications. Both microvascular (nephropathy, neuropathy and retinopathy) and macrovascular complications appear to be associated with OSA occurrence, although some associations were not significant due to inadequate data. In conclusion, T1DM subjects carry a higher risk of undiagnosed OSA. Additional studies are needed to clarify the exact correlation between the two conditions.

Obstructive Sleep Apnea and Serotoninergic Signalling Pathway: Pathomechanism and Therapeutic Potential.

Obstructive Sleep Apnea (OSA) is a disorder characterized by repeated upper airway collapse during sleep, leading to apneas and/or hypopneas, with associated symptoms like intermittent hypoxia and sleep fragmentation. One of the agents contributing to OSA occurrence and development seems to be serotonin (5-HT). Currently, the research focuses on establishing and interlinking OSA pathogenesis and the severity of the disease on the molecular neurotransmitter omnipresent in the human body-serotonin, its pathway, products, receptors, drugs affecting the levels of serotonin, or genetic predisposition. The 5-HT system is associated with numerous physiological processes such as digestion, circulation, sleep, respiration, and muscle tone-all of which are considered factors promoting and influencing the course of OSA because of correlations with comorbid conditions. Comorbidities include obesity, physiological and behavioral disorders as well as cardiovascular diseases. Additionally, both serotonin imbalance and OSA are connected with psychiatric comorbidities, such as depression, anxiety, or cognitive dysfunction. Pharmacological agents that target 5-HT receptors have shown varying degrees of efficacy in reducing the Apnea-Hypopnea Index and improving OSA symptoms. The potential role of the 5-HT signaling pathway in modulating OSA provides a promising avenue for new therapeutic interventions that could accompany the primary treatment of OSA-continuous positive airway pressure. Thus, this review aims to elucidate the complex role of 5-HT and its regulatory mechanisms in OSA pathophysiology, evaluating its potential as a therapeutic target. We also summarize the relationship between 5-HT signaling and various physiological functions, as well as its correlations with comorbid conditions.

Enhanced machine learning approaches for OSA patient screening: model development and validation study

Age, gender, body mass index (BMI), and mean heart rate during sleep were found to be risk factors for obstructive sleep apnea (OSA), and a variety of methods have been applied to predict the occurrence of OSA. This study aimed to develop and evaluate OSA prediction models using simple and accessible parameters, combined with multiple machine learning algorithms, and integrate them into a cloud-based mobile sleep medicine management platform for clinical use. The study data were obtained from the clinical records of 610 patients who underwent polysomnography (PSG) at the Sleep Medicine Center of the Second Affiliated Hospital of Fujian Medical University between January 2021 and December 2022. The participants were randomly divided into a training-test group (80%) and an independent validation group (20%). The logistic regression, artificial neural network, naïve Bayes, support vector machine, random forest, and decision tree algorithms were used with age, gender, BMI, and mean heart rate during sleep as predictors to build a risk prediction model for moderate-to-severe OSA. To evaluate the performance of the models, we calculated the area under the receiver operating curve (AUROC), accuracy, recall, specificity, precision, and F1-score for the independent validation set. In addition, the calibration curve, decision curve, and clinical impact curve were generated to determine clinical usefulness. Age, gender, BMI, and mean heart rate during sleep were significantly associated with OSA. The artificial neural network model had the best efficacy compared with the other prediction algorithms. The AUROC, accuracy, recall, specificity, precision, F1-score, and Brier score were 80.4% (95% CI 76.7–84.1%), 69.9% (95% CI 69.8–69.9%), 86.5% (95% CI 81.6–91.3%), 61.5% (95% CI 56.6–66.4%), 53.2% (95% CI 47.7–58.7%), 65.9% (95% CI 60.2–71.5%), and 0.165, respectively, for the artificial neural network model. The AUROCs for the LR, NB, SVM, RF, and DT models were 80.2%, 79.7%, 79.2%, 78.4%, and 70.4%, respectively. The six models based on four simple and easily accessible parameters effectively predicted moderate-to-severe OSA in patients with PSG screening, with the artificial neural network model having the best performance. These models can provide a reliable tool for early OSA diagnosis, and their integration into a cloud-based mobile sleep medicine management platform could improve clinical decision making.

Screening of preoperative obstructive sleep apnea by cardiopulmonary coupling and its risk factors in patients with plans to receive surgery under general anesthesia: a cross-sectional study.

Preoperative obstructive sleep apnea (OSA) is supposed to be the abnormally high occurrence of OSA the night before surgery under general anesthesia. This study aimed to evaluate the prevalence preoperative OSA using cardiopulmonary coupling (CPC) and its correlation with imbalance of sympathetic/parasympathetic nervous system. A total of 550 patients with plans to receive surgery under general anesthesia were enrolled. All patients were assigned to wear CPC on the night before surgery until the next day. Sleep quality characteristics, heart rate variation parameters, and apnea-hypopnea index were acquired. The diagnosis of pre-existing OSA was not considered in the current study. According to apnea-hypopnea index, 28.4%, 32.2%, 26.2%, and 13.3% patients were assessed as no, mild, moderate, and severe operative OSA, respectively. Multivariate logistic regression model revealed that higher age [p < 0.001, odds ratio (OR) = 1.043] was independently and positively associated with preoperative OSA; heart rate variation parameters representing the imbalance of sympathetic/parasympathetic nervous system, such as higher low-frequency (p < 0.001, OR = 1.004), higher low-frequency/high-frequency ratio (p = 0.028, OR = 1.738), lower NN20 count divided by the total number of all NN intervals (pNN20; p < 0.001, OR = 0.950), and lower high-frequency (p < 0.001, OR = 0.998), showed independent relationships with a higher probability of preoperative OSA. Higher age (p = 0.005, OR = 1.024), higher very-low-frequency (p < 0.001, OR = 1.001), and higher low-frequency/high-frequency ratio (p = 0.003, OR = 1.655) were associated with a higher probability of moderate-to-severe preoperative OSA, but higher pNN10 (p < 0.001, OR = 0.951) was associated with a lower probability of moderate-to-severe preoperative OSA. Preoperative OSA is prevalent. Higher age and imbalance of sympathetic/parasympathetic nervous system are independently and positively associated with a higher occurrence of preoperative OSA. CPC screening may promote the management of preoperative OSA.

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.

Superiorly Based Posterior Pharyngeal Flaps: Using A Care Pathway to Optimize Speech and Airway Outcomes.

Pharyngeal flap (PF) surgery is effective at improving velopharyngeal sufficiency, but historical literature shows a concerning prevalence rate of obstructive sleep apnea (OSA), reported as high as 20%. Our institution has developed a protocol to minimize risk of postoperative obstructive complications and increase safety of PF surgery. We hypothesize that (1) preoperative staged removal of significant adenotonsillar tissue along with (2) multiview videofluoroscopy to guide patient-specific surgical approach via appropriately sized PFs can result in excellent speech outcomes while limiting occurrence of OSA. This was a retrospective chart review of all patients with velopharyngeal insufficiency (VPI) (aged 2-20 years) seen at the University of Rochester from 2015 to 2022 undergoing PF surgery to correct VPI. Nasopharyngoscopy was used for surgical planning and airway evaluation. Patients with tonsillar and adenoid hypertrophy underwent staged adenotonsillectomy at least 2 months before PF. Multiview videofluoroscopy was used to identify anatomic causes of VPI and to determine PF width. Patients underwent polysomnography and speech evaluation before and at least 6 months after PF surgery. Forty-one children aged 8.5 ± 4.1 years (range, 4 to 18 years) who underwent posterior PF surgery for VPI were identified. This included 10 patients with 22q11.2 deletion and 4 patients with Pierre Robin sequence. Thirty-nine patients had both pre- and postoperative speech data and underwent both a pre- and postoperative sleep study. Polysomnography showed no significant difference in obstructive apnea-hypopnea index after posterior PF surgery (obstructive apnea-hypopnea index preop, 1.3 ± 1.2 events per hour; postop, 1.7 ± 2.1 events per hour; P = 0.111). Significant improvements in speech outcome were seen in patients who underwent PF (modified Pittsburgh score preop, 11.52 ± 1.37; postop, 1.09 ± 2.35; P < 0.05). Use of preoperative staged adenotonsillectomy as well as patient-specific PF dimensions results in effective resolution of VPI and a low risk of OSA.

The relationship between birth weight and obstructive sleep apnea in children

Objective:To study the relationship between children's birth weight and obstructive sleep apnea（OSA）. Methods:The sleep data and birth information of children who underwent polysomnography in the Department of Otorhinolaryngology-Head and Neck Surgery of Henan Children's Hospital from October 2020 to July 2022 were retrospectively analyzed. The data of OSA detection rate, OSA severity, sleep structure and respiratory parameters in different birth weight groups were analyzed. Results:A total of 2 778 children met the inclusion criteria, including 1 833 males and 945 females. According to birth weight, the selected children were divided into three groups: 122 small for gestational age（SGA） group, 2 313 appropriate for gestational age（AGA）, and 343 large for gestational age（LGA） group. There was no significant difference in age between different groups（P=0.061）. In each group, boys are significantly more numerous than girls（P=0.001）. The difference in current body mass index（BMI） between groups was statistically significant: the current BMI was higher in the LGA group（17.51±4.01, P<0.001）. The severity of OSA was different in different birth weight groups（P=0.037）. There was a strong positive correlation between the severity of OSA and birth weight（r=0.992）. Children in the SGA group had shorter rapid eye movement（REM） sleep period（19.00[15.18, 23.33], P=0.012）, higher obstructive apnea-hypopnea index（OAHI） values（1.75[0.60, 5.13], P=0.019）, and had lower central apnea hypopnea index（CAHI） values（0.10[0.00, 0.50], P=0.020）. There were no significant differences in sleep structure and respiratory parameters between the LGA group and the AGA group. Multiple regression analysis of the factors affecting the OAHI index showed that the OAHI index of boys was higher than that of girls（95%CI 1.311-2.096, P<0.001）, and age was negatively correlated with the OAHI index（r=-0.105, 95%CI 0.856-0.946, P<0.001）, current BMI and OAHI index were positively correlated（r=0.037, 95%CI 1.010-1.065, P=0.007）. LGA was positively correlated with OAHI index（r=0.346, 95%CI 1.039-1.921, P=0.027）, and the correlation between LGA and OAHI（r=0.346） was higher than that between SGA and OAHI（r=0.340）. Conclusion:There was no significant difference in the incidence of OSA in children with different birth weight groups, but the OSA severity of LGA group was higher. Gender, age, BMI index and large for gestational age were the influencing factors for the occurrence of OSA in children, which should be paid more attention to in clinical practice.

Prevalence of Obstructive Sleep Apnea in Head and Neck Squamous Cell Carcinoma Patients before and after Treatment.

Background and Objectives: Obstructive sleep apnea (OSA) is common not only in the general population but even more so in patients with tumors of the head and neck region. Untreated, it leads to reduced quality of life, increased daytime sleepiness, and other comorbidities. The aim of this study was to determine the difference in the occurrence of OSA in the patient population with head and neck tumors compared with the general population as represented by the Trend cohort of the Study of Health in Pomerania (SHIP), and to assess the influence of tumor treatment. Materials and Methods: Between July 2018 and December 2021, preoperative polysomnography was conducted in 47 patients with histologically confirmed squamous cell carcinoma in the oropharynx, hypopharynx, or larynx. A follow-up polysomnography was performed in 23 patients 2-11 months after completing treatment. The collected data were correlated with tumor treatment and tumor size. Results: Of the included patients, 43 were male and 4 were female. Age ranged from 54 to 90 years. The pretherapeutic measurement found no significant difference in the prevalence of a pathologically elevated apnea-hypopnea index (AHI) in our patients compared with the SHIP Trend cohort. In the follow-up measurement after completion of treartment, a significant deterioration in AHI was observed. Initially, 70% of patients had an AHI > 5; after therapy, this increased to 87% (p = 0.008). The effect was particularly pronounced in the group of patients with advanced tumor stages who had received primary chemoradiation. Conclusions: OSA is a relevant condition in patients with head and neck cancer. Tumor treatment can lead to an increased occurrence of sleep-related breathing disorders, especially in patients with advanced tumor stages undergoing primary chemoradiation. Additional studies are necessary to better understand the exact mechanism involved.

Obstructive Sleep Apnea-Associated Intermittent Hypoxia-Induced Immune Responses in Males, Pregnancies, and Offspring.

Obstructive sleep apnea (OSA), a respiratory sleep disorder associated with cardiovascular diseases, is more prevalent in men. However, OSA occurrence in pregnant women rises to a level comparable to men during late gestation, creating persistent effects on both maternal and offspring health. The exact mechanisms behind OSA-induced cardiovascular diseases remain unclear, but inflammation and oxidative stress play a key role. Animal models using intermittent hypoxia (IH), a hallmark of OSA, reveal several pro-inflammatory signaling pathways at play in males, such as TLR4/MyD88/NF-κB/MAPK, miRNA/NLRP3, and COX signaling, along with shifts in immune cell populations and function. Limited evidence suggests similarities in pregnancies and offspring. In addition, suppressing these inflammatory molecules ameliorates IH-induced inflammation and tissue injury, providing new potential targets to treat OSA-associated cardiovascular diseases. This review will focus on the inflammatory mechanisms linking IH to cardiovascular dysfunction in males, pregnancies, and their offspring. The goal is to inspire further investigations into the understudied populations of pregnant females and their offspring, which ultimately uncover underlying mechanisms and therapeutic interventions for OSA-associated diseases.

Worldwide Prevalence of obstructive sleep apnea among pediatrics: A Systematic Review and Meta-Analysis

Our objective was to ascertain the global prevalence of obstructive sleep apnea in the pediatric population. We conducted a comprehensive and methodical search and assessment of published papers regarding the occurrence of obstructive sleep apnea in pediatric populations. We have selected reliable databases for biological literature, such as PubMed, Medline, Web of Science, and Google Scholar, as well as local resources. For this search, we utilized terms such as \&amp;quot;Obstructive Sleep Apnea,\&amp;quot; \&amp;quot;Sleep Apnea,\&amp;quot; and \&amp;quot;Sleep apnea prevalence\&amp;quot; in different combinations. We have discovered a total of 76 studies that are relevant to our research. However, only 11 of these studies have met the criteria required for analysis. The prevalence of obstructive sleep apnea was estimated to be 3.5% (95% CI 3.3%-3.7%) based on pooled data. However, the occurrence of obstructive sleep apnea differed in each study. Statistical heterogeneity was observed with a high degree of certainty (I2=0.99; P

Profile of Sleep-related Breathing Disorders in Chronic Obstructive Pulmonary Disease-obstructive Sleep Apnea Overlap Syndrome

Introduction: Overlap syndrome (OS) is defined by the combined occurrence of obstructive sleep apnea (OSA) and chronic obstructive pulmonary disease (COPD). Sleep-related breathing disorders (SRBDs) in OS can also manifest with central sleep apnea (CSA) and hypoventilation; besides OSA. Methods: This study was carried out to evaluate various SRBD in OS and its therapeutic implications patients having postbronchodilator obstruction in spirometry with respiratory symptoms were classified as COPD. Those found to have an apnea–hypopnea Index (AHI) &gt;5/h in polysomnography (PSG) were diagnosed as OS. All 37 patients diagnosed as OS underwent a subsequent positive airway pressure (PAP) titration. Results: On the evaluation of the SRBD, over half (51%) of the patients had OSA with no hypoventilation. More than one-third of the patients (35%) had associated hypoventilation with OSA, three patients had hypercapnic CSA, and two patients had hypocapnic CSA with Cheyne–Stokes breathing (CSA-CSB). The OSA group was easily titrated and corrected by CPAP therapy. OSA with hypoventilation group had underlying COPD with severe obstruction requiring bilevel PAP titration. Patients with CSA-CSB were elderly hypertensive patients with congestive heart failure who were corrected by PAP and optimization of cardiac medications. Patients with hypoventilation and hypercapnic CSA were most difficult to titrate and needed a backup rate along with PAP therapy for correction. On classifying patients on the basis of severity of OSA and COPD, there was no correlation found between AHI and forced expiratory volume 1 (FEV1). Patients with mild COPD with severe OSA were easily titrated with CPAP with a mean pressure of 8 cm H2 0. The most challenging cases were with severe COPD with severe OSA who required high pressures in both exhalation PAP and inspiratory PAP titration; two of such patients required backup rate by spontaneous/timed mode of PAP therapy. Conclusions: There are many profiles of SRBD in OS, and a detailed in-hospital PSG with a PAP titration can help in effectively managing the patients.

Characterization of upper airway and analysis of potential risk factor associated with OSA in patients with unilateral temporomandibular ankylosis and micrognathia deformities

ObjectiveTo ascertain the airway characteristics in patients with unilateral temporomandibular joint ankylosis and maxilla-mandibular deformities (UTMAMD) and investigate the potential risk factors associated with obstructive sleep apnea (OSA) among UTMAMD patients. MethodsAuthors conducted a retrospective single-center study to assess and compare study group consisting of a cohort of 32 patients diagnosed with UTMAMD between January 2011 and July 2022 with control group including 54 participants. The study group was further divided into two subgroups based on the presence or absence of OSA in patients. Parameters related to the upper airway were measured and analyzed using three-dimensional reconstruction of computed tomographic scans. The measurements of airway parameters were compared between study group and control group and between two subgroups. Pearson correlation analysis was used to identify the factors associated with the presence of OSA, and a multiple variable regression model was used to identify risk factors for OSA. ResultsAirway volume (VOL), Minimum cross-section area (min CSA), mean CSA, tilt in sagittal plane (TS), and tilt in sagittal plane (TC) in velopharynx; VOL, airway length (AL), min CSA, mean CSA, TS, TC, and airway deviation (AD) in glossopharynx; min CSA, TS, and AD in hypopharynx were found difference with significance between study group and control group. Lateral dimension/anterior-posterior dimension (LAT/AP) ratio in velopharynx and min CSA, TC, and LAT/AP ratio in glossopharynx were significant different between patients with UTMAMD with OSA and without OSA. ConclusionsThe upper airway of patients with UTMAMD exhibits significant narrowing and distortion, rendering them susceptible to suffer from OSA. Patients with UTMAMD and OSA demonstrate more elliptical airways, and the glossopharyngeal LAT/AP ratio is a predictive indicator for the occurrence of OSA.

Occurrence of sleep-disordered breathing in children with pulmonary hypertension.

Obstructive sleep apnea (OSA) has been associated with pulmonary hypertension (PH) through a complex and bidirectional relationship. The prevalence of OSA and other forms of sleep-disordered breathing (SDB) among children with PH is not well understood. A better understanding could help elucidate contributing factors for PH, guide diagnostic testing, and inform therapies. We therefore determined the proportion of SDB codiagnosis and OSA risk factors among a cohort of children with PH. Retrospective chart review was performed for children 0-21 years old with PH who underwent polysomnography (PSG) between 1 January2010 and 31 August2020. The primary outcome was OSA occurrence and risk based on demographics, diagnoses, and PH classification. The secondary outcome was occurrence and risk of other SDB diagnoses based on PH classification. Among 89 children identified, diagnoses included OSA (N = 79, 89%), central sleep apnea (N = 11, 12%), sleep-related hypoventilation (N = 6, 7%), and non-apneic hypoxemia (N = 28, 31%). Trisomy 21 diagnosis (N = 38, 43%) was associated with increased OSA risk (RR: 1.24, 95% CI: [1.09-1.42]) and age >12 months at PSG was associated with decreased OSA risk (N = 52, 58%, RR: 0.60, 95% CI: [0.45-0.81]). There was no difference in SDB risk based on Group 1 (N = 56, 63%) or Group 3 (N = 33, 37%) PH and no difference in OSA severity based on demographics and diagnoses. OSA was diagnosed among a majority of children with PH, and other SDB diagnoses were identified in a significant proportion of children. These findings support routine screening for SDB with PSGin children with PH.

Correlation Between Type 2 Diabetes Mellitus with the Risk of Obstructive Sleep Apnea in Prof. Dr. I.G.N.G. Ngoerah Hospital Denpasar

Background: Obstructive Sleep Apnea (OSA) is part of a complex sleep disordered breathing syndrome. OSA is defined by periods of respiratory events such as apneas, hypopneas, or respiratory effort related arousals during sleep, leading to hypoxia, waking during the night, excessive daytime sleepiness and hindering daily activities. In addition, OSA can also cause various systemic complications and even death. The occurrence of OSA is associated with the presence of metabolic disorders that cause type 2 diabetes mellitus (DM), with as many as 30% patients with OSA also have type 2 DM. The occurence of OSA are often underdiagnosed, especially in high-risk population. Therefore, the purpose of this study is to find out the relationship between type 2 DM with the risk of OSA. Methods: A cross sectional analytic study was conducted from June to August 2022 at Prof. Dr. I.G.N.G. Ngoerah Hospital Denpasar with a total of 80 respondents. The risk of OSA in the respondents was recorded using the Berlin questionnaire. Results: Of the 80 respondents, there were 33 people with a high risk of OSA and 47 people with a low risk of OSA. Respondents with a high risk of OSA were mostly male (78.6%), with the most ages between 51-60 years (53.6%), had type 2 DM (78.6%), and with nutritional status obese I (60.7%). There is a significant relationship between OSA and type 2 DM with a p-value of 0.019 (&lt;0.05), a prevalence ratio of 3.3 with a 95% confidence interval (1.2-9.0), and a correlation coefficient of 0.254. Conclusion: There is a significant relationship between type 2 DM and OSA and is positively correlated. Type 2 DM is a risk factor of OSA, with 3.3 times the risk to develop a high risk OSA compared to patients without type 2 DM.

Causal analysis between gastro-oesophageal reflux disease and obstructive sleep apnoea.

Based on evidence from existing observational research, clarifying the causal relationship between gastro-oesophageal reflux disease (GORD) and obstructive sleep apnoea (OSA) is challenging. Here, Mendelian randomisation, a method based on genetics, was used to provide new evidence for causality. Summary statistics from two publicly available genome-wide association studies were used to evaluate the causal relationship between GORD and OSA (the GORD database was used as an exposure variable and the OSA database as an outcome). Inverse variance weighting was used as the main analytical tool in Mendelian randomisation to estimate causal effects. The robustness of the results was evaluated by sensitivity analysis. Possible mediators were evaluated using multivariate Mendelian randomisation. A statistically significant causal relationship was observed between GORD and OSA (OR 1.597, 95% CI 1.401-1.821, p<0.001), and similar results were observed in weighted median and Mendelian randomisation-Egger regression analyses. No bias was found in the sensitivity analysis of Mendelian randomisation estimation. Multivariate Mendelian randomisation showed that GORD significantly increased the risk of developing OSA, even when the possible mediator was excluded (OR 1.107, 95% CI 1.101-1.212, p<0.001). Our study confirmed a causal relationship between GORD and OSA and suggests that intervention measures should be taken for patients with GORD to prevent the occurrence of OSA.

Obstructive Sleep Apnea Prediction Using Machine Learning

Abstract: A common sleep problem called obstructive sleep apnea (OSA) is characterized by periodic breathing pauses while you're asleep. For OSA to be effectively treated and related health concerns to be avoided, an early and precise diagnosis is essential. Machine learning approaches have become effective tools in recent years for managing and diagnosing OSA. The research that used machine learning techniques for OSA detection and prediction are reviewed in detail in this publication. A large dataset made up of polysomnography recordings and clinical data from OSA sufferers was gathered in order to achieve this. Using this dataset, many machine learning models were trained to categorize the severity levels of OSA or predict the occurrence of OSA, including support vector machines, random forests, and deep neural networks. The findings demonstrated the powerful ability of machine learning algorithms to recognize OSA and distinguish between various severity levels. These models outperformed conventional diagnostic techniques in terms of high sensitivity and specificity rates. To further shed insight on the underlying patterns and processes of the illness, feature selection approaches were used to determine the most pertinent physiological parameters for OSA detection. The effectiveness and precision of screening and therapy strategies may be improved by incorporating machine learning algorithms into OSA diagnosis. This study advances our understanding of the use of machine learning in sleep medicine and paves the door for the creation of automated and individualized OSA diagnostic tools.

0572 Weight reduction and the impact on apnea-hypopnea index: a meta-analysis

Abstract Introduction The occurrence of obstructive sleep apnea (OSA) is strongly associated with obesity. Behavioral, pharmacological, and surgical interventions that promote weight reduction can reduce OSA severity and improve other common obesity related complications and quality of life. While the relationship between weight reduction and apnea-hypopnea index (AHI) improvement has been documented, it does not seem to have been quantified adequately. The objective of this analysis was to quantify the association between percent change in body weight and percent change in AHI using results from the literature. Methods A literature search identified 13 studies with AHI and weight measurements before and after weight intervention in people living with obesity and OSA; 6 studies from bariatric surgery, 4 studies from diet and exercise intervention, and 3 studies from anti-obesity medications (including 2 placebo-controlled randomized clinical trials). A polynomial and a linear meta regression model as well as 95% prediction intervals were used to assess the relationship between % weight change from baseline and % change in AHI from baseline. Results Both the polynomial and linear models show, on average, weight reduction in patients living with obesity and OSA has a clinical benefit in reducing AHI. The linear meta-regression model that we developed suggests a mean AHI decrease of 2.6% per 1% weight reduction. As the prediction intervals are relatively wide, a precise relationship could not be established. For example, based on the linear model for a patient with 20% weight reduction we expect to see a mean 52.8% reduction in AHI with a 95% prediction interval (89.8%, 15.8%) AHI reduction. Conclusion Evidence shows that intentional weight reduction in people living with obesity and OSA results in improvements in OSA severity, and this was confirmed by our meta-analysis and modeling. The model shows that the degree of AHI improvement is dependent on the magnitude of weight reduction. However, establishing a precise relationship between percent change in AHI and percent weight reduction is challenging given the sparsity of data, variability in populations studied, and variability in AHI change following weight reduction. Support (if any) Eli Lilly and Company

Factors affecting obstructive sleep apnea severity depending on craniofacial morphological type

AbstractAimAs the craniofacial morphology has major effects on the occurrence of obstructive sleep apnea (OSA) in Asians, factors contributing to the severity of OSA may differ depending on craniofacial characteristics. This study investigated factors affecting OSA severity in patients according to craniofacial morphological type.MethodsStudy participants comprised 227 men examined following a diagnosis of OSA between May 2017 and October 2021. We examined cephalometric X‐rays and results of polysomnography on presentation, and classified the craniofacial morphological type of the participant as “long face type” (Group L) for facial axis (Fx) angle &lt;86° or as “short face type” (Group S) for Fx angle ≥86°. We conducted stepwise binomial logistic regression analysis with apnea‐hypopnea index (AHI) ≥ 15 events/h or AHI &lt; 15 events/h as the dependent variable and age, body mass index (BMI), and the cephalometric parameters SNA, SNB, Fx, PNS‐P, MPT, MP‐H, SPAS, MAS, and IAS as independent variables.ResultsBMI and PNS‐P in Group S and BMI and MP‐H in Group L were identified as independent predictors of AHI ≥ 15 events/h.ConclusionsFactors affecting severity of OSA differ by craniofacial morphological type, with factors of obesity and hyoid bone position for long face‐type patients and obesity and soft palate length for short face‐type patients. Optimal treatment requires consideration of craniofacial morphology and establishment of treatment policies that take causative factors into account.