Obstructive sleep apnea (OSA) is an increasingly widespread sleep-breathing disordered disease, and is an independent risk factor for many high-risk chronic diseases such as hypertension, coronary heart disease, stroke, arrhythmias and diabetes, which is potentially fatal. The key to the prevention and treatment of OSA is early diagnosis and treatment, so the assessment and diagnostic technologies of OSA have become a research hotspot. This paper reviews the research progresses of severity assessment parameters and diagnostic technologies of OSA, and discusses their future development trends. In terms of severity assessment parameters of OSA, apnea hypopnea index (AHI), as the gold standard, together with the percentage of duration of apnea hypopnea (AH%), lowest oxygen saturation (LSpO₂), heart rate variability (HRV), oxygen desaturation index (ODI) and the emerging biomarkers, constitute a multi-dimensional evaluation system. Specifically, the AHI, which measures the frequency of sleep respiratory events per hour, does not fully reflect the patients’ overall sleep quality or the extent of their daytime functional impairments. To address this limitation, the AH%, which measures the proportion of the entire sleep cycle affected by apneas and hypopneas, deepens our understanding of the impact on sleep quality. The LSpO₂ plays a critical role in highlighting the potential severe hypoxic episodes during sleep, while the HRV offers a different perspective by analyzing the fluctuations in heart rate thereby revealing the activity of the autonomic nervous system. The ODI provides a direct and objective measure of patients’ nocturnal oxygenation stability by calculating the number of desaturation events per hour, and the biomarkers offers novel insights into the diagnosis and management of OSA, and fosters the development of more precise and tailored OSA therapeutic strategies. In terms of diagnostic techniques of OSA, the standardized questionnaire and Epworth sleepiness scale (ESS) is a simple and effective method for preliminary screening of OSA, and the polysomnography (PSG) which is based on recording multiple physiological signals stands for gold standard, but it has limitations of complex operations, high costs and inconvenience. As a convenient alternative, the home sleep apnea testing (HSAT) allows patients to monitor their sleep with simplified equipment in the comfort of their own homes, and the cardiopulmonary coupling (CPC) offers a minimal version that simply analyzes the electrocardiogram (ECG) signals. As an emerging diagnostic technology of OSA, machine learning (ML) and artificial intelligence (AI) adeptly pinpoint respiratory incidents and expose delicate physiological changes, thus casting new light on the diagnostic approach to OSA. In addition, imaging examination utilizes detailed visual representations of the airway’s structure and assists in recognizing structural abnormalities that may result in obstructed airways, while sound monitoring technology records and analyzes snoring and breathing sounds to detect the condition subtly, and thus further expands our medical diagnostic toolkit. As for the future development directions, it can be predicted that interdisciplinary integrated researches, the construction of personalized diagnosis and treatment models, and the popularization of high-tech in clinical applications will become the development trends in the field of OSA evaluation and diagnosis.

ObjectiveTo explore the effect of Buzhong Yiqitang on the immune imbalance of helper T cell 17 （Th17）/regulatory T cell （Treg） and Notch1 signaling pathway in mice with autoimmune thyroiditis （AIT）. MethodA total of 60 8-week-old NOD.H-2^h4 mice were randomly divided into the normal group， model group， western medicine group （selenium yeast tablet， 32.5 mg·kg^-1）， and low-dose （4.78 g·kg^-1·d^-1）， middle-dose （9.56 g·kg^-1·d^-1）， and high-dose （19 g·kg^-1·d^-1） Buzhong Yiqitang groups， with 10 mice in each group. The normal group was fed with distilled water， and the other groups were fed with water containing 0.05% sodium iodide for eight weeks. After the animal model of AIT was formed spontaneously， the mice were killed under anesthesia after intragastric administration for eight weeks. Serum anti-thyroglobulin antibodies （TGAb）， thyroid-stimulating hormone （TSH）， free triiodothyronine （FT3）， and free thyroid hormone （FT4） were detected by enzyme-linked immunosorbent assay （ELISA）， and thyroid tissue changes were observed by hematoxylin-eosin （HE） staining. The mRNA and protein expressions of retinoid-related orphan receptor-γt （RORγt）， interleukin （IL）-17， forkhead box P3 （FoxP3）， IL-10， Notch1， and hair division-related enhancer 1 （Hes1） in thyroid tissue were detected by Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） and Western blot， respectively. ResultCompared with the normal group， the thyroid structure of the model group was severely damaged， and lymphocytes were infiltrated obviously. The levels of serum TGAb， FT3， and FT4 contents were significantly increased， and TSH content was significantly decreased （P<0.01）. The mRNA and protein expression levels of RORγt， IL-17， Notch1， and Hes1 were significantly increased， while those of FoxP3 and IL10 were significantly decreased in the model group （P<0.01）. Compared with the model group， thyroid structural damage and lymphocyte infiltration were improved in the treatment groups， and serum TGAb， FT3， and FT4 contents were significantly decreased. TSH content was increased， and mRNA and protein expression levels of RORγt， IL-17， Notch1， and Hes1 were decreased. mRNA and protein expression levels of FoxP3 and IL-10 were increased to different degrees （P<0.05， P<0.01）， and the middle-dose Buzhong Yiqitang group had the most significant intervention effect. ConclusionBuzhong Yiqitang can alleviate the thyroid structural damage in AIT mice， and its mechanism may be related to improving the abnormal differentiation of Th17/Treg immune cells and inhibiting the activation of the Notch1 signaling pathway.

ObjectiveTo explore the mechanism of Buzhong Yiqitang in ameliorating inflammatory injury in autoimmune thyroiditis (AIT) mice based on the Toll-like receptor 4（TLR4）/nuclear transcription factor-kappa B（NF-κB）/absent in melanoma 2（AIM2）inflammasome signaling pathway. MethodThe 120 genetically susceptible 8-week-old NOD.H-2^h4 mice were selected and randomly divided into control group， model group， low， medium and high dose groups of Buzhong Yiqitang （4.78， 9.56， 19.12 g·kg^-1）， and western medicine group （selenium yeast tablets， 3.033×10^-5 g·kg^-1）. The AIT model mice in each group drank ad libitum 0.05% sodium iodide aqueous solution for 8 weeks to establish the AIT model， and the control group drank ad libitum distilled water. Eight weeks later， the mice in each dosing group were divided into groups and gavage. The swelling of thyroid tissue was observed with the naked eye， and the weight of spleen was weighed. The content of serum inflammatory factors interleukin-1β （IL-1β）， interleukin-6 （IL-6）， tumor necrosis factor-α （TNF-α） was measured by enzyme-linked immunosorbent assay （ELISA）， and Real-time PCR was used to detect the expression of HMGB1， TLR4， AIM2， NF-κB p65，apoptosis-associated speck-like protein（ASC），cysteinyl aspartate-specific protease-1（Caspase-1）， IL-1β mRNA. Western blot was used to detect the expression of high motility group protein 1 （HMGB1）， TLR4， AIM2， NF-κB p65， phosphorylation（p）-NF-κB p65， ASC， Caspase-1， and IL-1β proteins in thyroid tissue， and immunofluorescence staining was used to observe the protein expression of HMGB1， AIM2， and NF-κB p65 in thyroid tissue of mice. ResultCompared with the control group， the thyroid tissue of mice in the model group was significantly swollen， the spleen quality was significantly increased， and the expression of HMGB1， TLR4， NF-κB p65， AIM2， ASC， Caspase-1， IL-1β in thyroid tissue was significantly increased （P<0.01）. Compared with the model group， the swelling of thyroid tissue in mice in each dose group of Buzhong Yiqitang was improved， the quality of spleen was significantly reduced， and the expression of HMGB1， TLR4， AIM2， NF-κB p65， p-NF-κB p65， ASC， Caspase-1， IL-1β in thyroid tissue was significantly reduced （P<0.05， P<0.01）. ConclusionBuzhong Yiqitang can effectively improve the inflammatory injury of AIT， and regulating the abnormal activation of the TLR4/NF-κB/AIM2 inflammasome signal pathway may be one of its intervention mechanisms.

Objective To compare the efficacy and safety of Saccharomyces boulardii and other probiotics in the treatment of pediatric diarrhea.Methods Retrieved from PubMed,Embase,CBM,Wanfang data,CNKI and VIP,randomized controlled trial(RCTs)about Saccharomyces boulardii(treatment group)vs other probiotics(control group)were collected.After screening the literature,extracting data and evaluating the quality,Meta-analysis was performed by using RevMan 5.3 and Stata 17.0 software.Results A total of 30 RCTs were included,involving 3 082 children.Results of Meta-analysis showed there was no statistical significance in the duration of diarrhea[mean difference(MD)=-0.65,95％confidence interval(CI)=-1.44-0.14,P＞0.05]or the total incidence of adverse reactions[odds ratio(OR)=0.85,95％CI=0.44-1.62,P＞0.05].The total effective rate(OR=1.60,95％CI=1.08-2.36,P＜0.05)and the number of stools(MD=-0.66,95％CI=-1.00--0.32,P＜0.01)in the treatment group were significantly better than control group.There was statistically significant difference in the duration of diarrhea between the two groups treated with diarrhea with fever(MD=1.81,95％CI=1.12-2.49,P＜0.01)and rotavirus gastroenteritis(MD=-0.92,95％CI=-1.20--0.64,P＜0.01).In the treatment of diarrhea with fever,the duration of diarrhea in the control group was significantly shorter than that in the treatment group.The duration of diarrhea in the treatment group was significantly shorter than that control group.At the same time,the duration of diarrhea in children with diarrhea treated with treatment group was significantly shorter than that of control group Bifidobacterium tetragenous viable(MD=-0.84,95％CI=-1.09--0.58,P＜0.01)and control group combined Bacillus subtilis and Enterococcus faecium enteric-coated(MD=-1.35,95％CI=-2.30-0.39,P＜0.01).Conclusion The safety of Saccharomyces boulardii are similar to other probiotics.The efficacy and the number of stools with Saccharomyces boulardii are significantly better than other probiotics in the treatment of diarrhea.The duration of diarrhea in Saccharomyces boulardii group was significantly shorter than other probiotics,while in the treatment of antibiotic-associated diarrhea,the duration of diarrhea of Saccharomyces boulardii was the same as that of other probiotics.However,the duration of diarrhea in children with diarrhea treated with Saccharomyces boulardii was significantly longer than other probiotics.

Objective:To report the results of national surveillance on the distribution and antimicrobial resistance profile of clinical Gram-negative bacteria isolates from bloodstream infections in China in 2022.Methods:The clinical isolates of Gram-negative bacteria from blood cultures in member hospitals of national bloodstream infection Bacterial Resistant Investigation Collaborative System（BRICS）were collected during January 2022 to December 2022. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical and Laboratory Standards Institute（CLSI）. WHONET 5.6 and SPSS 25.0 software were used to analyze the data.Results:During the study period，9 035 strains of Gram-negative bacteria were collected from 51 hospitals，of which 7 895（87.4%）were Enterobacteriaceae and 1 140（12.6%）were non-fermenting bacteria. The top 5 bacterial species were Escherichia coli（ n=4 510，49.9%）， Klebsiella pneumoniae（ n=2 340，25.9%）， Pseudomonas aeruginosa（ n=534，5.9%）， Acinetobacter baumannii complex（ n=405，4.5%）and Enterobacter cloacae（ n=327，3.6%）. The ESBLs-producing rates in Escherichia coli， Klebsiella pneumoniae and Proteus spp. were 47.1%（2 095/4 452），21.0%（427/2 033）and 41.1%（58/141），respectively. The prevalence of carbapenem-resistant Escherichia coli（CREC）and carbapenem-resistant Klebsiella pneumoniae（CRKP）were 1.3%（58/4 510）and 13.1%（307/2 340）；62.1%（36/58）and 9.8%（30/307）of CREC and CRKP were resistant to ceftazidime/avibactam combination，respectively. The prevalence of carbapenem-resistant Acinetobacter baumannii（CRAB）complex was 59.5%（241/405），while less than 5% of Acinetobacter baumannii complex was resistant to tigecycline and polymyxin B. The prevalence of carbapenem-resistant Pseudomonas aeruginosa（CRPA）was 18.4%（98/534）. There were differences in the composition ratio of Gram-negative bacteria in bloodstream infections and the prevalence of main Gram-negative bacteria resistance among different regions，with statistically significant differences in the prevalence of CRKP and CRPA（ χ2=20.489 and 20.252， P<0.001）. The prevalence of CREC，CRKP，CRPA，CRAB，ESBLs-producing Escherichia coli and Klebsiella pneumoniae were higher in provinicial hospitals than those in municipal hospitals（ χ2=11.953，81.183，10.404，5.915，12.415 and 6.459， P<0.01 or <0.05），while the prevalence of CRPA was higher in economically developed regions（per capita GDP ≥ 92 059 Yuan）than that in economically less-developed regions（per capita GDP <92 059 Yuan）（ χ2=6.240， P=0.012）. Conclusions:The proportion of Gram-negative bacteria in bloodstream infections shows an increasing trend，and Escherichia coli is ranked in the top，while the trend of CRKP decreases continuously with time. Decreasing trends are noted in ESBLs-producing Escherichia coli and Klebsiella pneumoniae. Low prevalence of carbapenem resistance in Escherichia coli and high prevalence in CRAB complex have been observed. The composition ratio and antibacterial spectrum of bloodstream infections in different regions of China are slightly different，and the proportion of main drug resistant bacteria in provincial hospitals is higher than those in municipal hospitals.

Objective:To study the trinucleotide repeats of GCN (GCA, GCT, GCC, GCG) encoding Alanine in exon 3 of the PHOX2B gene among healthy individuals from southwest China and two patients with Congenital central hypoventilation syndrome (CCHS). Methods:The number and sequence of the GCN repeats of the PHOX2B gene were analyzed by capillary electrophoresis, Sanger sequencing and cloning sequencing of 518 healthy individuals and two newborns with CCHS, respectively. Results:Among the 1036 alleles of the 518 healthy individuals, five alleles were identified, including (GCN) 7, (GCN) 13, (GCN) 14, (GCN) 15 and (GCN) 20. The frequency of the (GCN) 20 allele was the highest (94.79%). And five genotypes were identified, which included (GCN) 7/(GCN) 20, (GCN) 13/(GCN) 20, (GCN) 14/(GCN) 20, (GCN) 15/(GCN) 20, (GCN) 20/(GCN) 20. The homozygous genotypes were all (GCN) 20/(GCN) 20, and the carrier rate was 89.58%. Four GCN sequences of the (GCN) 20 homozygous genotypes were identified among the 464 healthy individuals. The GCN repeat numbers in the exon 3 of the PHOX2B gene showed no significant difference between the expected and observed values, and had fulfilled the, Hardy-Weinberg equilibrium. The genotypes of the two CCHS patients were (GCN) 20/(GCN) 25 and (GCN) 20/(GCN) 30, respectively. Conclusion:It is important to determine the GCN repeats and genotypic data of the exon 3 of the PHOX2B gene among the healthy individuals. The number of GCN repeats in 518 healthy individuals was all below 20. The selection of appropriate methods can accurately detect the polyalanine repeat mutations (PARMs) of the PHOX2B gene, which is conducive to the early diagnosis, intervention and treatment of CCHS.

Objective To gain an in-depth understanding of the motivations,patterns,and related factors in family decision-making regarding the referral of terminal patients in tertiary hospitals.Methods Using purposive sampling,terminal patients and their family members from three tertiary hospitals in Beijing were se-lected as subjects.Semi-structured interviews were conducted,and the interview data were subjected to thematic analysis.Results Following the saturation principle,a total of 11 patients and 15 family members were includ-ed.The interview data were organized and analyzed,yielding six major themes:decision premises,decision pat-terns,family support,support from the referring hospital's medical team,referral channel conditions,and in-volvement of volunteer teams and social support.Based on these findings,a flowchart illustrating the family deci-sion-making process for the referral of terminal patients was constructed.Conclusions The study provides a com-prehensive analysis of various factors influencing family decision-making in the referral of terminal patients in ter-tiary hospitals.The results underscore the significance of internal and external factors,emphasizing the integrated impact of decision patterns,family support,medical team support,referral channel conditions,and the in-volvement of volunteer teams and social support.The research offers profound insights into improving the referral process for terminal patients and enhancing the quality of family decision-making.It provides valuable recommen-dations for future improvements in medical services and decision support.

Objective:To report the results of national surveillance on the distribution and antimicrobial resistance profile of clinical Gram-positive bacteria isolates from bloodstream infections in China in 2022.Methods:The clinical isolates of Gram-positive bacteria from blood cultures in member hospitals of National Bloodstream Infection Bacterial Resistant Investigation Collaborative System（BRICS）were collected during January 2022 to December 2022. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical and Laboratory Standards Institute（CLSI）. WHONET 5.6 and SPSS 25.0 software were used to analyze the data.Results:A total of 3 163 strains of Gram-positive pathogens were collected from 51 member units，and the top five bacteria were Staphylococcus aureus（ n=1 147，36.3%），coagulase-negative Staphylococci（ n=928，29.3%）， Enterococcus faecalis（ n=369，11.7%）， Enterococcus faecium（ n=296，9.4%）and alpha-hemolyticus Streptococci（ n=192，6.1%）. The detection rates of methicillin-resistant Staphylococcus aureus（MRSA）and methicillin-resistant coagulase-negative Staphylococci（MRCNS）were 26.4%（303/1 147）and 66.7%（619/928），respectively. No glycopeptide and daptomycin-resistant Staphylococci were detected. The sensitivity rates of Staphylococcus aureus to cefpirome，rifampin，compound sulfamethoxazole，linezolid，minocycline and tigecycline were all >95.0%. Enterococcus faecium was more prevalent than Enterococcus faecalis. The resistance rates of Enterococcus faecium to vancomycin and teicoplanin were both 0.5%（2/369），and no vancomycin-resistant Enterococcus faecium was detected. The detection rate of MRSA in southern China was significantly lower than that in other regions（ χ2=14.578， P=0.002），while the detection rate of MRCNS in northern China was significantly higher than that in other regions（ χ2=15.195， P=0.002）. The detection rates of MRSA and MRCNS in provincial hospitals were higher than those in municipal hospitals（ χ2=13.519 and 12.136， P<0.001）. The detection rates of MRSA and MRCNS in economically more advanced regions（per capita GDP≥92 059 Yuan in 2022）were higher than those in economically less advanced regions（per capita GDP<92 059 Yuan）（ χ2=9.969 and 7.606， P=0.002和0.006）. Conclusions:Among the Gram-positive pathogens causing bloodstream infections in China， Staphylococci is the most common while the MRSA incidence decreases continuously with time；the detection rate of Enterococcus faecium exceeds that of Enterococcus faecalis. The overall prevalence of vancomycin-resistant Enterococci is still at a low level. The composition ratio of Gram-positive pathogens and resistant profiles varies slightly across regions of China，with the prevalence of MRSA and MRCNS being more pronounced in provincial hospitals and areas with a per capita GDP≥92 059 yuan.

Background::In vitro fertilization (IVF) has emerged as a transformative solution for infertility. However, achieving favorable live-birth outcomes remains challenging. Current clinical IVF practices in IVF involve the collection of heterogeneous embryo data through diverse methods, including static images and temporal videos. However, traditional embryo selection methods, primarily reliant on visual inspection of morphology, exhibit variability and are contingent on the experience of practitioners. Therefore, an automated system that can evaluate heterogeneous embryo data to predict the final outcomes of live births is highly desirable. Methods::We employed artificial intelligence (AI) for embryo morphological grading, blastocyst embryo selection, aneuploidy prediction, and final live-birth outcome prediction. We developed and validated the AI models using multitask learning for embryo morphological assessment, including pronucleus type on day 1 and the number of blastomeres, asymmetry, and fragmentation of blastomeres on day 3, using 19,201 embryo photographs from 8271 patients. A neural network was trained on embryo and clinical metadata to identify good-quality embryos for implantation on day 3 or day 5, and predict live-birth outcomes. Additionally, a 3D convolutional neural network was trained on 418 time-lapse videos of preimplantation genetic testing (PGT)-based ploidy outcomes for the prediction of aneuploidy and consequent live-birth outcomes.Results::These two approaches enabled us to automatically assess the implantation potential. By combining embryo and maternal metrics in an ensemble AI model, we evaluated live-birth outcomes in a prospective cohort that achieved higher accuracy than experienced embryologists (46.1% vs. 30.7% on day 3, 55.0% vs. 40.7% on day 5). Our results demonstrate the potential for AI-based selection of embryos based on characteristics beyond the observational abilities of human clinicians (area under the curve: 0.769, 95% confidence interval: 0.709–0.820). These findings could potentially provide a noninvasive, high-throughput, and low-cost screening tool to facilitate embryo selection and achieve better outcomes. Conclusions::Our study underscores the AI model’s ability to provide interpretable evidence for clinicians in assisted reproduction, highlighting its potential as a noninvasive, efficient, and cost-effective tool for improved embryo selection and enhanced IVF outcomes. The convergence of cutting-edge technology and reproductive medicine has opened new avenues for addressing infertility challenges and optimizing IVF success rates.

Recent advancements in the field of medical artificial intelligence (AI) have led to the widespread adoption of foundational and large language models. This review paper explores their applications within medical AI, introducing a novel classification framework that categorizes them as disease-specific, general-domain, and multi-modal models. The paper also addresses key challenges such as data acquisition and augmentation, including issues related to data volume, annotation, multi-modal fusion, and privacy concerns. Additionally, it discusses the evaluation, validation, limitations, and regulation of medical AI models, emphasizing their transformative potential in healthcare. The importance of continuous improvement, data security, standardized evaluations, and collaborative approaches is highlighted to ensure the responsible and effective integration of AI into clinical applications.