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

This study aims to explore the synergistic effects of the main components in salvianolic acids for Injection(SAFI) on key pathological events in cerebral ischemia, elucidating the pharmacological characteristics of SAFI in neuroprotection. Two major pathological gene modules related to endothelial injury and neuroinflammation in cerebral ischemia were mined from single-cell data. According to the topological distance calculated in network medicine, potential synergistic component combinations of SAFI were screened out. The results showed that the combination of caffeic acid and salvianolic acid B scored the highest in addressing both endothelial injury and neuroinflammation, demonstrating potential synergistic effects. The cell experiments confirmed that the combination of these two components at a ratio of 1∶1 significantly protected brain microvascular endothelial cells(bEnd.3) from oxygen-glucose deprivation/reoxygenation(OGD/R)-induced reperfusion injury and effectively suppressed lipopolysaccharide(LPS)-induced neuroinflammatory responses in microglial cells(BV-2). This study provides a new method for uncovering synergistic effects among active components in traditional Chinese medicine(TCM) and offers novel insights into the multi-component, multi-target acting mechanisms of TCM.
Brain Ischemia/metabolism* ; Neuroprotective Agents/pharmacology* ; Animals ; Drugs, Chinese Herbal/administration & dosage* ; Benzofurans/pharmacology* ; Mice ; Drug Synergism ; Caffeic Acids/pharmacology* ; Polyphenols/pharmacology* ; Humans ; Alkenes/pharmacology* ; Endothelial Cells/drug effects* ; Depsides

OBJECTIVE: To evaluate the dynamic changes of glucocorticoid (GC) dose and the feasibility of GC discontinuation in rheumatoid arthritis (RA) patients under the background of Chinese medicine (CM). METHODS: This multicenter retrospective cohort study included 1,196 RA patients enrolled in the China Rheumatoid Arthritis Registry of Patients with Chinese Medicine (CERTAIN) from September 1, 2019 to December 4, 2023, who initiated GC therapy. Participants were divided into the Western medicine (WM) and integrative medicine (IM, combination of CM and WM) groups based on medication regimen. Follow-up was performed at least every 3 months to assess dynamic changes in GC dose. Changes in GC dose were analyzed by generalized estimator equation, the probability of GC discontinuation was assessed using Kaplan-Meier curve, and predictors of GC discontinuation were analyzed by Cox regression. Patients with <12 months of follow-up were excluded for the sensitivity analysis. RESULTS: Among 1,196 patients (85.4% female; median age 56.4 years), 880 (73.6%) received IM. Over a median 12-month follow-up, 34.3% (410 cases) discontinued GC, with significantly higher rates in the IM group (40.8% vs. 16.1% in WM; P<0.05). GC dose declined progressively, with IM patients demonstrating faster reductions (median 3.75 mg vs. 5.00 mg in WM at 12 months; P<0.05). Multivariate Cox analysis identified age <60 years [P<0.001, hazard ratios (HR)=2.142, 95% confidence interval (CI): 1.523-3.012], IM therapy (P=0.001, HR=2.175, 95% CI: 1.369-3.456), baseline GC dose ⩽7.5 mg (P=0.003, HR=1.637, 95% CI: 1.177-2.275), and absence of non-steroidal anti-inflammatory drugs use (P=0.001, HR=2.546, 95% CI: 1.432-4.527) as significant predictors of GC discontinuation. Sensitivity analysis (545 cases) confirmed these findings. CONCLUSIONS RA patients receiving CM face difficulties in following guideline-recommended GC discontinuation protocols. IM can promote GC discontinuation and is a promising strategy to reduce GC dependency in RA management. (Trial registration: ClinicalTrials.gov, No. NCT05219214).
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Arthritis, Rheumatoid/drug therapy* ; Glucocorticoids/therapeutic use* ; Medicine, Chinese Traditional ; Retrospective Studies

OBJECTIVES: Platelet-rich plasma (PRP) treatment has been reported to improve ovarian function in women, but the relationship between the dose and frequency of PRP treatment and its therapeutic effect remains unclear. This study aims to evaluate the efficacy of single and double PRP treatments for diminished ovarian reserve (DOR). METHODS: A total of 65 patients treated at the Reproductive Center of Xiangtan Central Hospital from September 2020 to October 2022 were randomly divided into 4 groups: A single PRP treatment group (21 patients, PRP treatment once), a double PRP treatment group (15 patients, PRP treatment twice), a blank control group (15 patients), and an artificial cycle control group (14 patients, treated with estrogen and progesterone). The differences in baseline follicle-stimulating hormone (FSH), antral follicle count (AFC), ovarian volume, number of oocytes retrieved, number of good quality embryos, and pregnancy outcomes before and after treatment were compared among the 4 groups. RESULTS: Compared to before treatment, both single and double PRP treatment groups showed a significant reduction in FSH, and an increase in AFC, ovarian volume, numbers of oocytes retrieved, and number of MII oocytes (all P<0.05). Compared to the blank control group, the single and double PRP groups showed a decrease in FSH, with an increase in AFC, number of oocytes retrieved, and number of MII oocytes (all P<0.05). The rates of good quality embryos, clinical pregnancy rate, and live birth rate in the single and double PRP groups were higher than those in the blank control group and artificial cycle control groups, but the differences were not statistically significant (all P>0.05). Compared to the single PRP treatment group, the double PRP group had lower FSH and higher AFC, but the differences were not statistically significant (both P>0.05). CONCLUSIONS Both single and double PRP ovarian injections can effectively improve ovarian reserve function in DOR patients and enhance ovarian response. Compared to single PRP ovarian injection, double PRP ovarian injection shows a trend of better improvement in ovarian reserve function.
Humans ; Female ; Platelet-Rich Plasma ; Ovarian Reserve/physiology* ; Adult ; Pregnancy ; Follicle Stimulating Hormone/blood* ; Pregnancy Rate ; Ovary ; Ovulation Induction/methods* ; Ovarian Follicle ; Oocyte Retrieval

OBJECTIVE: As an age-related neurodegenerative disease, the prevalence of mild cognitive impairment (MCI) increases with age. Within the framework of traditional Chinese medicine, spleen-kidney deficiency syndrome (SKDS) is recognized as the most frequent MCI subtype. Due to the covert and gradual onset of MCI, in community settings it poses a significant challenge for patients and their families to discern between typical aging and pathological changes. There exists an urgent need to devise a preliminary diagnostic tool designed for community-residing older adults with MCI attributed to SKDS (MCI-SKDS). METHODS: This investigation enrolled 312 elderly individuals diagnosed with MCI, who were randomly distributed into training and test datasets at a 3:1 ratio. Five machine learning methods, including logistic regression (LR), decision tree (DT), naive Bayes (NB), support vector machine (SVM), and gradient boosting (GB), were used to build a diagnostic prediction model for MCI-SKDS. Accuracy, sensitivity, specificity, precision, F1 score, and area under the curve were used to evaluate model performance. Furthermore, the clinical applicability of the model was evaluated through decision curve analysis (DCA). RESULTS: The accuracy, precision, specificity and F1 score of the DT model performed best in the training set (test set), with scores of 0.904 (0.845), 0.875 (0.795), 0.973 (0.875) and 0.973 (0.875). The sensitivity of the training set (test set) of the SVM model performed best among the five models with a score of 0.865 (0.821). The area under the curve of all five models was greater than 0.9 for the training dataset and greater than 0.8 for the test dataset. The DCA of all models showed good clinical application value. The study identified ten indicators that were significant predictors of MCI-SKDS. CONCLUSION The risk prediction index derived from machine learning for the MCI-SKDS prediction model is simple and practical; the model demonstrates good predictive value and clinical applicability, and the DT model had the best performance. Please cite this article as: Ai YT, Zhou S, Wang M, Zheng TY, Hu H, Wang YC, Li YC, Wang XT, Zhou PJ. Development of a machine learning-based risk prediction model for mild cognitive impairment with spleen-kidney deficiency syndrome in the elderly. J Integr Med. 2025; 23(4): 390-397.
Humans ; Cognitive Dysfunction/diagnosis* ; Aged ; Male ; Female ; Machine Learning ; Spleen ; Aged, 80 and over ; Kidney ; Medicine, Chinese Traditional

Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.

Objective:To investigate the effects of surgical timing on incidence of perioperative complications and postoperative 30-day mortality in elderly patients with hip fracture.Methods:The data were retrospectively analyzed of the 450 elderly patients with hip fracture who had been admitted to Department of Joint Surgery, Beijing Shijitan Hospital, Capital Medical University from January 2016 to December 2021. The patients were divided into 2 groups according to the time from admission to surgery. In the early surgery group of 143 cases [41 males and 102 females with an age of 82(75, 86) years], the time from admission to surgery was ≤ 48 hours. In the delayed surgery group of 307 cases [88 males and 219 females with an age of 83(77, 87) years], the time from admission to surgery was over 48 hours. The 2 groups were compared in terms of comorbidities, perioperative complications, death events within postoperative 30 days, ICU transfer rate and total length of hospital stay.Results:There was no significant difference in the preoperative general data like age and gender between the 2 groups, indicating comparability ( P>0.05). The proportions of patients with coronary atherosclerotic heart disease [30.0%(92/307)], a stroke history [19.9%(61/307)], abnormal heart function [55.4%(170/307)] and abnormal kidney function [24.4%(75/307)] in the delayed surgery group were significantly higher than those in the early surgery group [18.2%(26/143), 10.5% (15/143), 39.2%(56/143), and 12.6%(18/143)] ( P<0.05). The proportions of perioperative pulmonary infection [22.5% (69/307)] and urinary infection [21.2%(65/307)] in the delayed operation group were significantly higher than those in the early operation group [11.9%(17/143) and 11.2%(16/143)] ( P<0.05). The total hospital stay in the delayed operation group [18(14, 22) d] was significantly longer than that in the early operation group [14(10, 17) d] ( P<0.05). There was no significant difference in ICU transfer rate or postoperative 30-day mortality between the 2 groups ( P>0.05). Conclusion:For elderly patients with hip fracture, delayed surgery may increase the incidence of pulmonary infection and urinary infection, and extend their total hospital stay, but have no effect on the postoperative 30-day mortality.

Genetics,which provides important theoretical knowledge for the cultivation of students majo-ring in biology,is a discipline that studies the law of biological heredity and variation.In the era of high-ly advanced information technology,the blended online and offline teaching model has progressively been integrated into university classrooms,which seamlessly merges offline teaching with"Internet+"and greatly improves the outcomes and effectiveness of student learning and teacher instruction.Taking the genetics course as a platform,this paper first examines the complementary features of online and offline teaching methods.Then,the genetic teaching model that was carried out through various online platforms and resources were designed and optimized from purely online instruction and blended online-offline in-struction respectively.The assessment and evaluation methodologies were also enhanced.The findings of the investigation on the impact of teaching practices showed that a notable enhancement in students'en-thusiasm for learning genetic courses was achieved.This was reflected in the fact that an increasing num-ber of students selected genetic-related topics in science and innovation competitions.Meanwhile,com-pared with the non-implementation of blended teaching reform,students'academic performance in genet-ics courses has also been significantly improved,with a total score of about 5-6 points.The implementa-tion of the innovative blended teaching model will further enhance the efficiency of classroom teaching in-novation and talent training.

Objective To investigate the population composition,seasonal dynamics,and infestation levels of cockroaches in Lanzhou,China,and to provide information for the scientific development of cockroach control strategies.Methods Monitoring was conducted at three locations using the sticky trap method.Habitats included farm product markets,catering establishments,hotels,hospitals,and residential areas.Results From 2016 to 2023,the average cockroach density was 0.77 insects per board,with an average infestation rate of 10.84%.Blattella germanica was the dominant species.Seasonal density of cockroaches showed an approximately unimodal distribution,peaking in September.The highest average density and infestation rates were observed in farm product markets.Conclusions Cockroach density and infestation levels in Lanzhou remained relatively low.A comprehensive prevention and control strategy focusing on environmental management in key areas should be implemented according to the seasonal fluctuations.

Objective Based on the finite element simulation analysis of the patient's torso-spine model and combined with theoretical calculation data,an individualized scoliosis orthosis was designed,and the effectiveness of the orthosis was verified through three-dimensional(3D)printing.Methods A patient with idiopathic scoliosis was chosen as the research object.Reverse engineering technology and computer-aided technology were used to establish the torso-spine model of the patient.The finite element method was used to analyze the model,and the optimal position and magnitude of the corrective force were determined by combining literature theory calculation.Based on this,an orthosis was designed.To verify the orthopedic effect,the patient's X-rays before and after wearing the orthosis were compared and evaluated,and the patient was followed up 6 months later.Results The optimal position and magnitude of the initial corrective force were determined through theoretical calculations and finite element simulations.Specifically,a 62.95 N corrective force applied to the L3 vertebral body and the left posterior region corresponding to the upper and lower intervertebral discs in the patient's lateral curvature segment of the spine to achieve the optimal orthopedic effect.On this basis,the orthosis was designed,followed by relevant experimental tests before and after wearing the designed orthosis.By comparing X-ray images of the patient before and after wearing the orthosis and combining them with follow-up data six months later,the optimized design of the orthosis met the expected clinical requirements for orthopedic effects.Conclusions The design of orthosis needs to be personalized according to the specific situation of patients with scoliosis.This study takes a patient with idiopathic scoliosis as the research object,providing new ideas and methods for the design of orthosis for patients with idiopathic scoliosis.