INTRODUCTION: Obstructive sleep apnoea (OSA) is common in Singapore, with moderate to severe OSA affecting around 30% of residents. These consensus statements aim to provide scientifically grounded recommendations for the management of OSA, standar-dise the management of OSA in Singapore and promote multidisciplinary collaboration. METHOD: An expert panel, which was convened in 2024, identified several areas of OSA management that require guidance. The expert panel reviewed the current literature and developed consensus statements, which were later independently voted on using a 3-point Likert scale (agree, neutral or disagree). Consensus (total ratings of agree and neutral) was set a priori at ≥80% agreement. Any statement not reaching consensus was excluded. RESULTS: The final consensus included 49 statements that provide guidance on the screening, diagnosis and management of adults with OSA. Additionally, 23 statements on the screening, diagnosis and management of paediatric OSA achieved consensus. These 72 consensus statements considered not only the latest clinical evidence but also the benefits and harms, resource implications, feasibility, acceptability and equity impact of the recommendations. CONCLUSION The statements presented in this paper aim to guide clinicians based on the most updated evidence and collective expert opinion from sleep specialists in Singapore. These recommendations should augment clinical judgement rather than replace it. Management decisions should be individualised, taking into account the patient's clinical characteristics, as well as patient and caregiver concerns and preferences.
Humans ; Sleep Apnea, Obstructive/diagnosis* ; Singapore ; Consensus ; Adult

INTRODUCTION: Obstructive sleep apnoea (OSA) is a serious but underdiagnosed condition. Demand for the gold standard diagnostic polysomnogram (PSG) far exceeds its availability. More efficient diagnostic methods are needed, even in tertiary settings. Machine learning (ML) models have strengths in disease prediction and early diagnosis. We explored the use of ML with oximetry, demographic and anthropometric data to diagnose OSA. METHODS: A total of 2,996 patients were included for modelling and divided into test and training sets. Seven commonly used supervised learning algorithms were trained with the data. Sensitivity (recall), specificity, positive predictive value (PPV) (precision), negative predictive value, area under the receiver operating characteristic curve (AUC) and F1 measure were reported for each model. RESULTS: In the best performing four-class model (neural network model predicting no, mild, moderate or severe OSA), a prediction of moderate and/or severe disease had a combined PPV of 94%; one out of 335 patients had no OSA and 19 had mild OSA. In the best performing two-class model (logistic regression model predicting no-mild vs. moderate-severe OSA), the PPV for moderate-severe OSA was 92%; two out of 350 patients had no OSA and 26 had mild OSA. CONCLUSION Our study showed that the prediction of moderate-severe OSA in a tertiary setting with an ML approach is a viable option to facilitate early identification of OSA. Prospective studies with home-based oximeters and analysis of other oximetry variables are the next steps towards formal implementation.
Humans ; Oximetry/methods* ; Sleep Apnea, Obstructive/diagnosis* ; Male ; Female ; Middle Aged ; Machine Learning ; Polysomnography ; Adult ; Anthropometry ; ROC Curve ; Aged ; Algorithms ; Predictive Value of Tests ; Sensitivity and Specificity ; Neural Networks, Computer ; Demography

INTRODUCTION: Arrhythmias, especially atrial fibrillation (AF) and ventricular arrhythmias, are independent risk factors of mortality in patients with ischaemic heart disease (IHD). While there is a growing body of evidence that suggests an association between obstructive sleep apnoea (OSA) and cardiac arrhythmias, evidence on this relationship in patients with IHD has been scant and inconsistent. We hypothesised that in patients with IHD, severe OSA is associated with an increased risk of nocturnal arrhythmias. METHODS: We studied 103 consecutive patients with IHD who underwent an overnight polysomnography. Exposed subjects were defined as patients who had an apnoea-hypopnoea index (AHI) ≥30/h (severe OSA), and nonexposed subjects were defined as patients who had an AHI <30/h (nonsevere OSA). All electrocardiograms (ECGs) were interpreted by the Somte ECG analysis software and confirmed by a physician blinded to the presence or absence of exposure. Arrhythmias were categorised as supraventricular and ventricular. Arrhythmia subtypes (ventricular, atrial and conduction delay) were analysed as dichotomous outcomes using multiple logistic regression models. RESULTS: Atrial fibrillation and AF/flutter (odds ratio 13.5, 95% confidence interval 1.66-109.83; P = 0.003) were found to be more common in the severe OSA group than in the nonsevere OSA group. This association remained significant after adjustment for potential confounders. There was no significant difference in the prevalence of ventricular and conduction delay arrhythmias between the two groups. CONCLUSION In patients with IHD, there was a significant association between severe OSA and nocturnal AF/flutter. This underscores the need to evaluate for OSA in patients with IHD, as it may have important implications on clinical outcomes.
Humans ; Sleep Apnea, Obstructive/diagnosis* ; Atrial Fibrillation/diagnosis* ; Male ; Female ; Middle Aged ; Polysomnography ; Electrocardiography ; Myocardial Ischemia/complications* ; Aged ; Risk Factors ; Logistic Models

Drug-induced sleep endoscopy （DISE） is an endoscopic examination performed under conditions similar to human physiological sleep induced by drugs. In recent years, its clinical application has become increasingly widespread. This article reviews the research progress on the indications, anesthesia, and outcome determination of pediatric DISE, providing a basis for the application of pediatric DISE.
Humans ; Child ; Sleep Apnea, Obstructive/diagnosis* ; Endoscopy/methods* ; Sleep

Objective:This study aims to investigate the clinical effectiveness of muscle function training combined with occlusal inducers in the treatment for children's malocclusion after obstructive sleep apnea（OSA） surgery. Methods:A total of 40 pediatric patients who underwent surgery for OSA at Shanghai Children's Medical Center, affiliated with Shanghai Jiao Tong University School of Medicine, from January 2020 to December 2021 were involved in this study. They were divided into a treatment group（n=20） and a control group（n=20）. The treatment group received muscle function training combined with occlusal inducers, while the control group received muscle function training alone. Cephalometric measurements of hard tissues were compared between the two groups before and 12 months after surgery. Additionally, the OSA-18 questionnaire, which includes 18 items to assess the life quality of children with OSA, was filled out before surgery, 6 months after surgery, and 12 months after surgery by these patients. Results:①The scores of sleep disorders, physical symptoms, emotional status, daytime sleepiness and energy status and the degree of influence on guardians in the two groups were significantly improved at 12 months after operation（P<0.05）. The scores of sleep disorders, physical symptoms, emotional status and the degree of influence on guardians in the treatment group were better than those in the control group（P<0.05）. ②Cephalometric data at 12 months after operation showed that the upper and lower alveolar seat angle（ANB）, Overbite, upper and lower central incisor angle（U1-L1） and Overjet in the treatment group were lower than those in the control group at 12 months after operation, and the difference was statistically significant（P<0.05）. Conclusion:Children with OSA can improve the dentition irregularity by muscle function training combined with occlusal inducer after operation, and the effect is better than that of muscle function training alone.
Humans ; Child ; China ; Malocclusion ; Sleep Apnea, Obstructive/diagnosis* ; Treatment Outcome ; Muscles

Objective:To explore the relationship between sleep status and the disease in children with recurrent vertigo（RVC） by analyzing the objective sleep condition of children with recurrent vertigo. Methods:According to the diagnostic criteria of RVC, 50 children with RVC and 20 normal controls without RVC were selected. According to the vertigo questionnaire score, the RVC group was divided into mild, moderate and severe groups according to severity. Continuous polysomnography（PSG） was performed for all participants, and SPSS 25.0 statistical software was used to analyze the monitoring results. Results:①There were significant differences in sleep time of each period, total sleep time and sleep efficiency between RVC group and control group（P<0.05）, but there was no significant difference in sleep latency（P>0.05）. The specific manifestations were that the proportion of sleep time in N1 and N2 phases increased, the proportion of sleep time in N3 and REM phases decreased, the total sleep time and sleep efficiency decreased in RVC group. ②The abnormal rate of sleep apnea hypopnea index, that is, the proportion of AHI≥5 times/h and the abnormal rate of lowest blood oxygen saturation in RVC group were higher than those in normal control group. There was significant difference between the two groups（P<0.05）. ③There were significant differences in the proportion of AHI≥5 times/h and lowest SpO2 among mild group, moderate group and severe group（P<0.05）. ④There was no significant correlation between the degree of vertigo and the abnormal rate of AHI in children with RVC, but there was a negative correlation between the degree of vertigo and the abnormal rate of lowest SpO2 in children with RVC. Conclusion:Children with RVC are often accompanied by sleep disorders, clinicians should pay attention to both the symptoms of vertigo and sleep condition in children. Polysomnography is non-invasive and operable, providing a new idea to the auxiliary examination of RVC in children. It is of certain clinical significance for the comprehensive treatment of children with RVC to actively improve vertigo symptoms and pay attention to improving sleep quality.
Humans ; Child ; Polysomnography ; Sleep Apnea, Obstructive/diagnosis* ; Sleep ; Dizziness ; Vertigo/diagnosis*

Sleep apnea causes cardiac arrest, sleep rhythm disorders, nocturnal hypoxia and abnormal blood pressure fluctuations in patients, which eventually lead to nocturnal target organ damage in hypertensive patients. The incidence of obstructive sleep apnea hypopnea syndrome (OSAHS) is extremely high, which seriously affects the physical and mental health of patients. This study attempts to extract features associated with OSAHS from 24-hour ambulatory blood pressure data and identify OSAHS by machine learning models for the differential diagnosis of this disease. The study data were obtained from ambulatory blood pressure examination data of 339 patients collected in outpatient clinics of the Chinese PLA General Hospital from December 2018 to December 2019, including 115 patients with OSAHS diagnosed by polysomnography (PSG) and 224 patients with non-OSAHS. Based on the characteristics of clinical changes of blood pressure in OSAHS patients, feature extraction rules were defined and algorithms were developed to extract features, while logistic regression and lightGBM models were then used to classify and predict the disease. The results showed that the identification accuracy of the lightGBM model trained in this study was 80.0%, precision was 82.9%, recall was 72.5%, and the area under the working characteristic curve (AUC) of the subjects was 0.906. The defined ambulatory blood pressure features could be effectively used for identifying OSAHS. This study provides a new idea and method for OSAHS screening.
Blood Pressure ; Blood Pressure Monitoring, Ambulatory ; Humans ; Hypertension/complications* ; Polysomnography ; Sleep Apnea, Obstructive/diagnosis*

OBJECTIVES: Obstructive sleep apnea hypopnea syndrome (OSAHS) is a common disease that seriously affects health. Continuous positive airway pressure (CPAP) therapy is the preferred treatment for moderate-to-severe OSAHS patients. However, poor adherence to CPAP is a major obstacle in the treatment of OSAHS. Information-motivation-behavioral (IMB) skills, as a kind of mature technology to change the behavior, has been used in various health areas to improve treatment adherence. This study aims to explore the effects of the IMB skills intervention on CPAP adherence in OSAHS patients. METHODS: Patients who were primary diagnosed with moderate-to-severe OSAHS were randomly divided into the IMB group (n=62) and the control group (n=58). The patients in the IMB group received CPAP therapy and the IMB skills intervention for 4 weeks. The patients in the control group received CPAP therapy and a usual health care provided by a registered nurse. We collected the baseline data of the general information, including age, sex, body mass index (BMI), the Epworth Sleepiness Scale (ESS) score, the Hospital Anxiety and Depression Scale (HADS) score, and indicators about disease severity [apnea-hypopnea index (AHI), percentage of time with arterial oxygen saturation SaO₂<90% (T90), average SaO₂, lowest SaO₂, arousal index]. After CPAP titration, we collected CPAP therapy-relevant parameters (optimal pressure, maximum leakage, average leakage, 95% leakage, and residual AHI), score of satisfaction and acceptance of CPAP therapy, and score of willingness to continue CPAP therapy. After 4 weeks treatment, we collected the ESS score, HADS score, CPAP therapy-relevant parameters, effective CPAP therapy time per night, CPAP therapy days within 4 weeks, CPAP adherence rate, score of satisfaction and acceptance of CPAP therapy, and score of willingness to continue CPAP therapy. Visual analog scale (VAS) of 0-5 was used to evaluate the satisfaction and acceptance of IMB intervention measures in the IMB group. RESULTS: There were no significant differences in the baseline level of demographic parameters, ESS score, HADS score, disease severity, and CPAP therapy related parameters between the IMB group and the control group (all P>0.05). There were no significant differences in score of willingness to continue CPAP therapy, as well as score of satisfaction and acceptance of CPAP therapy after CPAP titration between the IMB group and the control group (both P>0.05). After 4 weeks treatment, the ESS score, HADS score, maximum leakage, average leakage, and 95% leakage of the IMB group were significantly decreased, while the score of satisfaction and acceptance of CPAP therapy and willingness to continue CPAP therapy of the IMB group were significantly increased (all P<0.05); while the above indexes in the control group were not different before and after 4 weeks treatment (all P<0.05). Compared with the control group, the ESS score, HADS score, maximum leakage, average leakage, and 95% leakage of the IMB group after 4 weeks treatment were significantly lower (all P<0.05); the effective CPAP therapy time, CPAP therapy days within 4 weeks, score of satisfaction and acceptance of CPAP therapy, score of willingness to continue CPAP therapy of the IMB group were significantly higher (all P<0.05). The rate of CPAP therapy adherence in 4 weeks of the IMB group was significantly higher than that of the control group (90.3% vs 62.1%, P<0.05). The VAS of overall satisfaction with IMB skills intervention measures was 4.46±0.35. CONCLUSIONS IMB skills intervention measures can effectively improve the adherence of CPAP therapy in OSAHS patients, and is suitable for clinical promotion.
Continuous Positive Airway Pressure ; Humans ; Motivation ; Oximetry ; Patient Compliance ; Sleep Apnea, Obstructive/diagnosis* ; Syndrome

Humans ; Polysomnography ; Sleep Apnea, Obstructive/diagnosis* ; Wearable Electronic Devices

Deep Learning ; Humans ; Polysomnography ; Sleep Apnea, Obstructive/diagnosis*