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

Objective·To analyze the differences and classify hypertrophic cardiomyopathy(HCM)patients and healthy controls(HC)using short-axis cine cardiac magnetic resonance(CMR)images-derived radiomics features.Methods·One hundred HCM subjects were included,and fifty HC were randomly selected at 2∶1 ratio during January 2018 to December 2021 in the Department of Cardiology,Renji Hospital,Shanghai Jiao Tong University School of Medicine.The CMR examinations were performed by experienced radiologists on these subjects.CVI 42 post-processing software was used to obtain left ventricular morphology and function measurements,including left ventricular ejection fraction(LVEF),left ventricular end-diastolic volume(LVEDV)and left ventricular end-diastolic mass(LVEDM).The 3D radiomic features of the end-diastolic myocardial region were extracted from short-axis images CMR cine.The distribution of the radiomic features in the two groups was analysed and machine learning models were constructed to classify the two groups.Results·One hundred and seven 3D radiomic features were selected and extracted.After exclusion of highly correlated features,least absolute shrinkage and selection operator(LASSO)was used,and a 5-fold cross-validation was performed.There were still 11 characteristics with non-zero coefficients.The K-best method was used to decide the top 8 features for subsequent analysis.Among them,four features were significantly different between the two groups(all P<0.05).Support vector machine(SVM)and random forest(RF)models were constructed to discriminate the two groups.The results showed that the maximum area under the curve(AUC)for the single-feature model(first order grayscale:entropy)was 0.833(95%CI 0.685?0.968)and the maximum accuracy for the multi-feature model was 83.3%with an AUC of 0.882(95%CI 0.705?0.980).Conclusion·There are significant differences in both left ventricular function and left ventricular morphology between HCM and HC.The 3D myocardial radiomic features of the two groups are also significantly different.Although single feature is able to distinguish the two groups,the combination of multi-features show better classification performance.

Objective:This study aimed to explore the status of radiological Kashin-Beck disease (KBD) among school-aged children in Chamdo City, Tibet, through a 3-year monitoring survey, providing epidemiological evidence for prevention and control strategies.Methods:The target areas for this study were Luolong, Bianba, and Basu counties in Chamdo City, Tibet Autonomous Region, identified as having the most severe historical cases of KBD. Children aged 7-12 years attending school were enrolled as study subjects. Anteroposterior X-ray films of the right-hand were taken, and radiological diagnoses were made based on the "Diagnosis of Kashin-Beck Disease" criteria (WS/T 207-2010). Two experienced researchers independently reviewed the X-rays, and intra- and inter-group consistency were assessed using weighted Kappa values and percentage agreement. Cross-sectional surveys were conducted in 2017 and 2020 to describe the X-ray detection rates of KBD, and logistic regression analysis was employed to construct a predictive model of risk factors for radiological KBD cases.Results:In 2017, a total of 5,711 children aged 7-12 years in Chamdo City, Tibet, participated in the baseline cross-sectional survey (average age 9.2 years, 48.0% female), with 28 cases of radiological KBD. The age- and gender-standardized prevalence rate was 0.527%. In 2020, 6,771 participants (average age 9.3 years, 49.5% female) underwent a second cross-sectional survey, with 9 cases of radiological KBD and a standardized prevalence rate of 0.134%. Logistic regression analysis indicated that older age [ OR=2.439, 95% CI(1.299, 4.580), P=0.006] and female gender [ OR=8.157, 95% CI(1.016, 65.528), P=0.048] were independent risk factors for radiological KBD cases. Conversely, higher residential altitude, under the premise of Tibet's high altitude, was a protective factor [ OR=0.995, 95% CI(0.990, 0.999), P=0.032). Conclusion:The radiographically positive detection rate of KBD among school-aged children in Chamdo City, Tibet Autonomous Region, is at an extremely low level and showing a declining trend, reaching the historical standard in 2020. Considering the absence of positive signs in affected children, it suggests that local KBD has been effectively eliminated.

Paroxysmal atrial fibrillation can be attributed to the category of xinji （palpitations） and zhangchong （severe palpitations） in traditional Chinese medicine， and its onset has the characteristics of urgency， change， and movement， which is similar to the characteristics of diseases induced by wind pathogen. It is believed that the internal movement of wind pathogen runs through the whole course of this disease， and palpitations due to wind as the direct pathogenesis. Palpitations caused by wind pathogen showed different characteristics of deficiency and excess pattern. In the acute exacerbation period， excess wind is the main cause of disease. For excessive heat generating wind， the treatment is to clear the liver and extinguish wind by self-modified Lingxia Qinggan Decoction （羚夏清肝汤）； for blood stasis generating wind， the treatment is to remove blood stasis and stop wind by self-modified Yandan Limai Decoction （延丹理脉汤）； for phlegm-heat accumulation with wind， the treatment is to dissolve phlegm and eliminate wind by self-modified Lianlou Danxing Decoction （连蒌胆星汤）. In the prolonged recovery period， deficiency wind is more common. For stirring of wind due to yin deficiency， the treatment is to nourish yin and extinguish wind by self-modified Zaoshao Zhenzhu Deoction （枣芍珍珠汤）； for spleen deficiency generating wind， the treatment is to strengthen spleen and nourish wind by self-modified Shenying Dingji Deoction （参英定悸汤）. Clinical prescriptions closely follow the characteristics of wind， weigh the changes of deficiency and excess， tailor with the patterns， and regulate qi and blood of the zang-fu organs， in order to extinguish wind and arrest convulsion.

Objective:To assess the effectiveness of robot-assisted mandibular angle osteotomy using the FACE-Q questionnaire.Methods:A randomized controlled clinical study was conducted in the Second Affiliated Hospital of Zhengzhou University from January 2022 to June 2023. Patients with mandibular angle hypertrophy aged 18 to 40 years old were recruited as research objects, and a randomization and supply management system (Clinflash IRT 2.0) was used to randomly assign the experimental group and control groups in a 1∶1 ratio. Before surgery, Mimics 21.0 software was used to plan the surgical approach and determine the osteotomy plane based on the head CT data of the two groups. The experimental group underwent robot-assisted mandibular angle osteotomy according to the preoperative osteotomy plan, while the control group underwent traditional manual mandibular angle osteotomy according to the preoperative design. Six months after surgery, patients filled in the FACE-Q craniofacial module scale to evaluate the surgical effect, covering 12 indicators in four aspects: appearance satisfaction (including face, jaw and smile), health-related quality of life (including appearance anxiety, psychology, social interaction and speech), postoperative function (including breathing, diet, face and pronunciation), and adverse reactions. Each indicator was scored from 0 to 100 points, with higher scores indicating better evaluation. SPSS 27.0 software was used to process the data, and the measurement data of normal distribution were expressed by Mean±SD, and t-test was used for comparison between groups. The measurement data of non-normal distribution were expressed by M ( Q1, Q3), and Mann-Whitney U test was used for the comparison between groups. P<0.05 was considered statistically significant. Results:The experimental group included 20 patients, 3 males and 17 females, with an age of (27.6±4.4) years (19 to 38 years); the control group included 20 patients, 4 males and 16 females, with an age of (27.4±3.9) years (19 to 35 years). Six months postoperatively, all patients in both groups had good wound healing, and the mandibular hypertrophy was improved to varying degrees. There were no complications such as facial paralysis, facial deviation, or pain. The FACE-Q questionnaire results showed that in terms of appearance satisfaction, the scores for the three indicators of face, mandible, and smile in the experimental group were (72.2±11.7), 86(77, 92), and (63.2±9.5) points, respectively, all higher than those in the control group, which were (49.2±9.9), 43(35.5, 50), and (48.0±7.7) points, respectively, with statistically significant differences ( P<0.01 for all); in terms of health-related quality of life, except for speech, the scores for the three indicators of appearance anxiety, psychology, and social interaction in the experimental group were higher than those in the control group [(71.0±11.5) points vs.(49.1±10.3) points, (66.7±11.7) points vs.(45.4±10.5) points, (75.0±9.7)points vs.(56.4±8.5) points], with statistically significant differences ( P<0.01 for all); in terms of postoperative function, the score for eating in the experimental group was higher than that in the control group [(83.4±10.7) points vs.(71.0±14.9) points] ( P<0.01), but there were no statistically significant differences in the other three indicators ( P>0.05 for all); in terms of adverse reaction, there was no statistically significant difference between the two groups ( P>0.05). Conclusion:The result of the FACE-Q questionnaire assessment confirmed that robot-assisted mandibular angle osteotomy can significantly improve patients’ postoperative appearance satisfaction, psychological state, social adaptability, and eating function without increasing the incidence of complications.

Objective·To develop a machine learning approach for early identification of metabolic syndromes associated with inflammatory metabolic state changes in breast cancer patients after neoadjuvant therapy,using common laboratory and transthoracic echocardiography indices.Methods·Female patients with primary invasive breast cancer diagnosed at the Department of Breast Surgery,Renji Hospital,Shanghai Jiao Tong University School of Medicine,between September 2020 and September 2022,were included.General patient information,laboratory test results,and transthoracic echocardiography data were collected.After feature extraction,five machine learning algorithms,including random forest(RF),gradient boosting(GB),support vector machine(SVM),K-nearest neighbor(KNN),and decision tree(DT),were applied to construct a prediction model for the changes of the patients' metabolic state after neoadjuvant therapy,and the prediction performances of the five models were compared.Results·A total of 232 cases with valid clinical data were included,comprising 135 cases before neoadjuvant therapy and 97 cases after completing 4 cycles of neoadjuvant therapy.Feature extraction identified five key features:white blood cell count,hemoglobin,high-density lipoprotein(HDL),interleukin-2 receptor,and interleukin-8.In the multi-feature analysis,the area under the receiver operating characferistic curve(AUC)was higher in the combination of white blood cell count,hemoglobin and HDL compared to the combination of interleukin-2 receptor and interleukin-8(RF:0.928 vs 0.772,GB:0.900 vs 0.792,SVM:0.941 vs 0.764,KNN:0.907 vs 0.762,DT:0.799 vs 0.714).The RF,SVM,and GB models showed higher AUC(0.928,0.941,0.900)and accuracy(0.914,0.897,0.776).The SVM model exhibited superior accuracy in the training data compared to the RF and GB models(P=0.394,0.122 and 0.097,respectively).Conclusion·The SVM model can be used to establish a prediction model for identifying breast cancer patients at high risk of developing inflammatory metabolic state-related metabolic syndrome after neoadjuvant therapy by incorporating five common clinical indicators,namely,white blood cell count,hemoglobin,high-density lipoprotein,interleukin-2 receptor,and interleukin-8.SVM modeling may be useful for clinicians to establish individualized screening protocols based on a patient's inflammatory metabolic state.

Objective To investigate the expression of circular RNA(Circ RNAS)Actinin α 4(ACTN4)and platelet thrombin protein 1(THBS1)in intrahepatic cholangiocarcinoma(ICC)and their relationship with clinicopathological characteristics and prognosis,and provide reference for clinical diagnosis and treatment.Method A retrospective analysis was conducted on 84 ICC patients diagnosed and treated in the Second Affiliated Hospital of Xian Jiaotong University from May 2017 to June 2020.The expressions of CircACTN4 mRNA,THBS1 mRNA and protein were detected by real-time fluorescent quantitative PCR and immunohistochemistry.Pearson correlation analysis was used to analyze the correlation between CircACTN4 mRNA and THBS1 mRNA in ICC cancer tissue.The prognostic differences of ICC patients with different CircACTN4 mRNA and THBS1 mRNA expressions were compared by the Kaplan-Meier method(log rank test).COX regression analysis was performed to identify prognostic factors in ICC patients.The prognostic value of CircACTN4 mRNA and THBS1 mRNA in evaluating the risk of death in ICC patients was assessed by receiver operating characteristic(ROC)curve analysis.Results The expression of CircACTN4 mRNA in ICC tissues(3.14±0.42)was higher than that in adjacent tissues(0.76±0.25),with significant difference(t=44.094,P＜0.001).The positive rates of THBS1 mRNA(2.82±0.36)and protein positive rate(92.86％)in ICC tissues were higher than those in adjacent tissues(0.81±0.24,7.14％),and the differences were statistically significant(t/x2=42.068,123.429,all P＜0.001).CircACTN4 mRNA was positively correlated with THBS1 mRNA in ICC cancer tissue(r=0.669,P＜0.001).The expressions of CircACTN4 mRNA,THBS1 mRNA in ICC cancer tissues with TNM stage Ⅲ,low differentiation,and lymph node metastasis were higher than those in TNM stage Ⅰ～Ⅱ,high differentiation,and non-lymph node metastasis cancer tissues,and the differences were statistically significant(x2=7.949,9.164,12.207;23.270,18.625,19.828,all P＜0.001).The 3-year cumulative survival rates of the high expression group of CircACTN4 mRNA and THBS1 mRNA were lower than those of the low expression group of CircACTN4 mRNA(25.00％vs 56.82％)and THBS1 mRNA(19.51％vs 62.79％),and the differences were statistically significant(Log rank x2=13.601,24.310,all P＜0.001).CircACTN4 mRNA(OR=1.839,95％CI:1.228～2.753),THBS1 mRNA(OR=1.744,95％CI:1.245～2.443),lymph node metastasis(OR=1.925,95％CI:1.316～2.816),TNM staging(OR=1.613,95％CI:1.223～2.126),and tumor differentiation(OR=1.510,95％CI:1.205～1.892)were independent factors affecting the prognosis of ICC.The area under the curve of the combination detection of circACTN4 and THBS1 mRNA on the prognosis of death in patients with ICC was 0.868,which was greater than that of the single index(0.812 and 0.784),with significant differences(Z=3.348,3.847,all P＜0.001).Conclusion The expressions of CircACTN4 mRNA and THBS1 mRNA were increased in ICC,and they were associated with TNM stage,differentiation,and lymph node metastasis.These markers may serve as novel indicators to evaluate the poor prognosis of ICC patients.

Objective Analyzes the grouping effect and its influencing factors under DRG payment,provides reference for the reform of DRG payment.Methods Evaluates the effectiveness of DRG grouping using Coefficient of Variation(CV)and Reduction in Variance;using Value of Structure of Variation and Degree of Structure Variation,analyzes hospitalization costs structure changes of different DRG groups,and calculates the degree of correlation between average hospitalization costs through grey relational analysis;using non parametric tests and multiple regression to analyze the influencing factors of hospitalization cost.Results DRG grouping effect was not good,inter-group heterogeneity was not obvious;the structure of hospitalization expenses is unreasonable,and the proportion of consumables expenses is too high,ranking first in the grey correlation degree of hospitalization expenses,comprehensive medical service fees and treatment fees rank third and fifth respectively;the main factors affecting hospitalization costs are treatment methods,length of stay,presence of complications,and first hospitalization,the difference is statistically significant(P＜0.05).Conclusion More grouping nodes or higher CV value standards should be added to enhance the grouping effect of gastric cancer DRG;optimize the structure of hospitalization costs to reflect the labor and technical value of medical personnel;strengthen internal management and control the unreasonable use of drugs and consumables.

Objective Analyzes the grouping effect and its influencing factors under DRG payment,provides reference for the reform of DRG payment.Methods Evaluates the effectiveness of DRG grouping using Coefficient of Variation(CV)and Reduction in Variance;using Value of Structure of Variation and Degree of Structure Variation,analyzes hospitalization costs structure changes of different DRG groups,and calculates the degree of correlation between average hospitalization costs through grey relational analysis;using non parametric tests and multiple regression to analyze the influencing factors of hospitalization cost.Results DRG grouping effect was not good,inter-group heterogeneity was not obvious;the structure of hospitalization expenses is unreasonable,and the proportion of consumables expenses is too high,ranking first in the grey correlation degree of hospitalization expenses,comprehensive medical service fees and treatment fees rank third and fifth respectively;the main factors affecting hospitalization costs are treatment methods,length of stay,presence of complications,and first hospitalization,the difference is statistically significant(P＜0.05).Conclusion More grouping nodes or higher CV value standards should be added to enhance the grouping effect of gastric cancer DRG;optimize the structure of hospitalization costs to reflect the labor and technical value of medical personnel;strengthen internal management and control the unreasonable use of drugs and consumables.

Objective Analyzes the grouping effect and its influencing factors under DRG payment,provides reference for the reform of DRG payment.Methods Evaluates the effectiveness of DRG grouping using Coefficient of Variation(CV)and Reduction in Variance;using Value of Structure of Variation and Degree of Structure Variation,analyzes hospitalization costs structure changes of different DRG groups,and calculates the degree of correlation between average hospitalization costs through grey relational analysis;using non parametric tests and multiple regression to analyze the influencing factors of hospitalization cost.Results DRG grouping effect was not good,inter-group heterogeneity was not obvious;the structure of hospitalization expenses is unreasonable,and the proportion of consumables expenses is too high,ranking first in the grey correlation degree of hospitalization expenses,comprehensive medical service fees and treatment fees rank third and fifth respectively;the main factors affecting hospitalization costs are treatment methods,length of stay,presence of complications,and first hospitalization,the difference is statistically significant(P＜0.05).Conclusion More grouping nodes or higher CV value standards should be added to enhance the grouping effect of gastric cancer DRG;optimize the structure of hospitalization costs to reflect the labor and technical value of medical personnel;strengthen internal management and control the unreasonable use of drugs and consumables.