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.

Objective To understand the current status of work-related musculoskeletal disorders (WMSDs) among operating room doctors,thereby analyzing its effect on mental health. Methods A total of 1013 doctors in the operating rooms of 30 hospitals in 24 provinces from September to December 2022 were selected by cross-sectional survey method. The domestic musculoskeletal disease questionnaire was used to investigate the occurrence of WMSDs in operating room doctors,the symptom check list-90 (SCL-90) was used to evaluate the psychological status of operating room doctors,the relationship between WMSDs related items and SCL-90 scores was analyzed,the correla-tion between the rest time of each shift and SCL-90 factors was analyzed by Pearson method,and the influencing factors of mental health of operating room doctors were analyzed by multivariate Logistic regression.Results A total of 1100 questionnaires were distributed and 1013 valid questionnaires were recovered,with an effective rate of 92.10％. The incidence of WMSDs among operating room doctors in the past 1 year was 95.06％. The body parts with incidences of WMSDs from high to low were as follows:waist (36.92％),neck (35.54％),shoulder (33.56％),and upper back (32.77％). In the past 1 year,the SCL-90 scores and total scores of patients with musculoskeletal pain in various body parts,keeping the same back posture for a long time while work,bending the back at the same time of turning frequently while working,bowing the head for a long time while working,and bending the knee for a long time while working were significantly higher than those who were without the above conditions (P<0.05). Shorter rest time of each shift and longer periods of keeping the same back posture were the risk factors for the development of mental illness in operating room doctors. Conclusion The incidence of WMSDs in operating room doctors is high,which can influence the mental health of operating room doctors. Therefore,operating room doctors should avoid keeping the same back posture for a long time,bending the back at the same time of turning frequently,bowing the head for a long time,and bending the knee for a long time while working,and increase the rest time of each shift,in order to improve the mental condition of the operating room doctors.

BACKGROUND:There have been many studies on biofeedback therapy and three-dimensional gait function analysis for chronic non-specific low back pain at home and abroad,but few studies on the combination of the two have been reported. OBJECTIVE:To study the effect of biofeedback assisted electrical stimulation on the change of walking ability in chronic non-specific low back pain by collecting gait parameter data through three-dimensional gait analysis. METHODS:Sixty patients with chronic non-specific low back pain,34 males and 26 females,aged 32-58 years,were selected and admitted to First Affiliated Hospital of Guangdong Pharmaceutical University from June 2021 to September 2022.They were divided into control group(n=30)and trial group(n=30)according to the principle of random allocation.Both groups of patients received conventional treatment of dynamic interference with the waist,20 minutes/time,once/day,5 times a week,for 20 times.The control group received supine bypass and prone bypass suspension core muscle training on the basis of conventional treatment,5 times a week,for 20 times.The trial group received biofeedback assisted electrical stimulation therapy on the basis of the control group,20 minutes/time,once/day,5 times a week,for 20 times.The low back pain score,the mean value of electromyography and the gait parameters were compared and analyzed before and after treatment between the two groups. RESULTS AND CONCLUSION:(1)After treatment,the numerical rating scale score,Japanese Orthopaedic Association score,and Oswestry disability index of the two groups were significantly improved compared with those before treatment(P<0.05).Numerical rating scale score,Japanese Orthopaedic Association score,and Oswestry disability index of the trial group were better than those of the control group(P<0.05).(2)After treatment,the mean values of surface electromyography of rectus abdominis,gluteus maximus,and erector spinae muscle in the two groups were higher than those before treatment(P<0.05),and the mean values of surface electromyography of rectus abdominis,gluteus maximus,and erector spinae muscle in the trial group were higher than those in the control group(P<0.05).(3)After treatment,the step width,step speed,step frequency,step length ratio between healthy and diseased sides,the relative value of support between healthy and diseased sides,the relative value of swing between diseased and healthy sides,the sagittal motion range of hip joint and knee joint between healthy and diseased sides and the foot angle between healthy and diseased sides were all better than those before treatment in both groups(P<0.05).The above indexes of the trial group were better than those of the control group after treatment(P<0.05).(4)These results suggest that biofeedback assisted electrical stimulation can significantly alleviate chronic non-specific low back pain,and improve the lower limb walking function.

Objective To explore the relationship between insulin resistance and idiopathic central precocious puberty(ICPP)in girls and the diagnostic value of insulin resistance.Methods Clinical data of 245 girls aged 4 to 7.5 years with low luteinizing hormone(LH)levels(0.2-0.83 IU/L),normal body weight(body mass index standard deviation score between-2 and+2),and early breast development who visited the Department of Pediatric Endocrinology,Henan Provincial Maternal and Child Health Hospital from January 2022 to March 2025 were retrospectively analyzed.According to the Expert Consensus on the Diagnosis and Treatment of Central Precocious Puberty(2022),patients were assigned to an ICPP group(n=123)or a control group(n=122).Correlations between the homeostasis model assessment of insulin resistance(HOMA-IR)and selected indices were assessed.Multivariable logistic regression was used to evaluate the association between HOMA-IR and ICPP,and the diagnostic performance of various indices for ICPP was evaluated.Results HOMA-IR was higher in the ICPP group than in the control group(P<0.001)and was positively correlated with LH peak(rs=0.467,P<0.05)and the LH peak/FSH peak ratio(rs=0.444,P<0.05).The multivariable logistic regression model including age,BMI,and basal LH showed that HOMA-IR was closely associated with ICPP(OR=2.756,95%CI:1.940-3.913).Receiver operating characteristic curve analysis showed that the areas under the curve for basal LH,HOMA-IR,and their combination in diagnosing ICPP were 0.735,0.735,and 0.805,respectively(P<0.05),and the combined model had a greater area under the curve than either basal LH or HOMA-IR alone(both P<0.05).Conclusions HOMA-IR is closely associated with ICPP in girls with low LH and normal body weight,and combining HOMA-IR with basal LH improves early identification and diagnostic efficiency in this population.

Objective:To observe the effects of Sitting Baduanjin combined with Sacubitril/Valsartan on cardiopulmonary function,exercise capacity and vascular endothelial function in patients with coronary heart disease after percutaneous coronary intervention(PCI).Methods:A retrospective analysis was conducted on the clinical data of 86 patients with coronary heart disease who underwent percutaneous coronary intervention(PCI)at Zhangzhou Third Hospital from April 2023 to August 2024,among these patients,43 were treated with a combination of Sacubitril/Valsartan and Sitting Baduanjin,forming the study group,the other 43 patients,treated with sacubitril/valsartan alone,were randomly assigned in a 1∶1 ratio to form the control group.The cardiopulmonary function[cardiac index(CI),left ventricular ejection fraction(LVEF),The ratio of forced expiratory volume to forced vital capacity(FEV/FVC),maximum ventilation volume(MVV)].Exercise capacity[6-minute walking test distance(6MWD),maximum motion load(MWL),peak oxygen uptake(VO2peak)],vascular endothelial function[endothelin-1(ET-1),vascular endothelium-dependent diastolic function(FMD),vascular pseudohematologic factor(vWF)]and the occurrence of adverse cardiovascular events between the two groups were compared.Results:CI,LVEF,FEV/FVC and MVV of the study group at 2 months after intervention were higher than those of the control group(P＜0.05).6MWD,MWL,VO2peak of the study group at 2 months after intervention were higher than those of the control group(P＜0.05).ET-1,vWF of the study group at 2 months after intervention were lower than those of the control group,FMD was higher than that of the control group(P＜0.05).There was no significant difference in the total incidence of adverse cardiovascular events between the two groups(P＞0.05).Conclusion:Sitting Baduanjin combined with Sacubitril/Valsartan can effectively improve the cardiopulmonary function,exercise capacity and vascular endothelial function of patients with coronary heart disease after PCI.

Objective:To explore the expression of bone marrow stromal antigen 2(BST2)in advanced non-small cell lung cancer(NSCLC)tissues and its impact on the prognosis of cisplatin chemotherapy.Methods:This study was a prospective study,127 advanced NSCLC patients who received treatment at Shangrao People's Hospital from January 2022 to December 2023 were prospective selected,all patients received cisplatin+gemcitabine chemotherapy regimen.They were divided into survival group(n=85)and death group(n=42)according to the prognosis.The relationship between expression of BST2 and clinicopathological characteristics was analyzed.The survival situation was analyzed by Kaplan-Meier method.Influencing factors of prognosis after cisplatin chemotherapy were discussed by univariate and multivariate COX regression analyses.Results:The positive expression rate of BST2 in cancer tissues(34.65％)in advanced NSCLC tissues was significantly higher than that in adjacent tissues(7.09％)(P＜0.05).Expression of BST2 was associated with tumor TNM staging,lymph node metastasis and differentiation degree(P＜0.05).The 1-year survival rate of patients with high expression of BST2(56.98％)was significantly lower than that of patients with low expression(87.80％)(P＜0.05).High expression of BST2 and TNM stage Ⅳ were independent prognostic risk factors for cisplatin chemotherapy in patients with advanced NSCLC(P＜0.05).Conclusion:The expressed of BST2 is highly in patients with advanced NSCLC tissues and closely related to cisplatin chemotherapy poor prognosis,suggesting its potential as a prognostic biomarker.

AIM To establish a UPLC-ESI-MS/MS method for analyzing the toxic material basis of 95％ethanol cold soaked ultrasonic extract(EC),95％ethanol heated reflux extract(EH)and water decoction extract(WD)from Dryopteris crassirhizoma Nakai.METHODS The analysis was performed on a 25 ℃ thermostatic agilent ZORBAX RRHD StableBond C18 column(2.1 mm×150 mm,1.8 μm),with the mobile phase comprising of methanol-0.2％formic acid flowing at 0.30 mL/min,and heated electrospray ion source was adopted in positive and negative ion scanning.Compounds were identified by Compound Discover 3.3 software combined with the database and related literature,and the main differential components were screened by Heatmap cluster analysis and partial least squares discriminant analysis.RESULTS 72 compounds were identified(22 phloroglucinols,19 flavonoids,8 phenylpropanoids,6 terpenoids and 17 other components).The main toxic differential components were phloroglucinols such as flavaspidic acid AB,didemethylpseudoaspidin AA and filixic acid PBP,flavonoids such as(-)-epicatechin,(-)-epigallocatechin,cianidanol,and other compounds such as indole-3-carboxaldehyde.CONCLUSION This method can rapidly,effectively and comprehensively characterize the main chemical composition of D.crassirhizoma,and provide a reference for the study of its pharmacological mechanism.

Aim To explore the compatibility and po-tential mechanism of effective components of Biejia-Ezhu against triple negative breast cancer(TNBC)and verify it by experiments.Methods Effective compo-nents and targets of Biejia-Ezhu were obtained by TC-MSP and Swiss Target Prediction.Disease targets of TNBC were obtained from OMMI and GeneCards data-bases.The PPI network was constructed using STRING database.GO and KEGG path enrichment analysis was performed using DAVID database.Cytoscape3.9.1 software was used to construct the"drug-component-target-disease"network,screen key targets and compo-nents for molecular docking,and further verify the com-patibility of key components and targets in vitro.Re-sults ① A total of 71 effective components were iden-tified in the Biejia-Ezhu drug pair.There were 146 drug targets associated with the disease.A total of 113 signaling pathways were identified by KEGG analysis.The 71 potential active components of Biejia-Ezhu mainly acted on key targets such as mTORC1,ULK1,TNF,EGFR,ESR1,STAT3,HIF1A,and PTGS2.Mo-lecular docking results showed that glycine and curcu-min were the key active components of Biejia-Ezhu,and both had strong docking activity against key target proteins mTORC1 and ULK1.②The results of in vitro experiment showed that glycine combined with curcu-min significantly inhibited the proliferation and clonal formation ability of TNBC cells(P＜0.05),up-regula-ted the expression of autophagy marker LC3 Ⅱ/Ⅰ,down-regulated the expression of EGFR,down-regula-ted the expression of pathway protein mTORC1,p-mTOR,p-ULK1,and promoted the expression of path-way protein ULK1(P＜0.05).Conclusion The key component of Biejia-Ezhu against triple-negative breast cancer is glycine-curcumin,the mechanism of which may be related to the regulation of the mTORC1/ULK1 signaling pathway to promote autophagy.

ObjectiveThis study leverages structural data from antigen-antibody complexes of the influenza A virus neuraminidase (NA) protein to investigate the spatial recognition relationship between the antigenic epitopes and antibody paratopes. MethodsStructural data on NA protein antigen-antibody complexes were comprehensively collected from the SAbDab database, and processed to obtain the amino acid sequences and spatial distribution information on antigenic epitopes and corresponding antibody paratopes. Statistical analysis was conducted on the antibody sequences, frequency of use of genes, amino acid preferences, and the lengths of complementarity determining regions (CDR). Epitope hotspots for antibody binding were analyzed, and the spatial structural similarity of antibody paratopes was calculated and subjected to clustering, which allowed for a comprehensively exploration of the spatial recognition relationship between antigenic epitopes and antibodies. The specificity of antibodies targeting different antigenic epitope clusters was further validated through bio-layer interferometry (BLI) experiments. ResultsThe collected data revealed that the antigen-antibody complex structure data of influenza A virus NA protein in SAbDab database were mainly from H3N2, H7N9 and H1N1 subtypes. The hotspot regions of antigen epitopes were primarily located around the catalytic active site. The antibodies used for structural analysis were primarily derived from human and murine sources. Among murine antibodies, the most frequently used V-J gene combination was IGHV1-12*01/IGHJ2*01, while for human antibodies, the most common combination was IGHV1-69*01/IGHJ6*01. There were significant differences in the lengths and usage preferences of heavy chain CDR amino acids between antibodies that bind within the catalytic active site and those that bind to regions outside the catalytic active site. The results revealed that structurally similar antibodies could recognize the same epitopes, indicating a specific spatial recognition between antibody and antigen epitopes. Structural overlap in the binding regions was observed for antibodies with similar paratope structures, and the competitive binding of these antibodies to the epitope was confirmed through BLI experiments. ConclusionThe antigen epitopes of NA protein mainly ditributed around the catalytic active site and its surrounding loops. Spatial complementarity and electrostatic interactions play crucial roles in the recognition and binding of antibodies to antigenic epitopes in the catalytic region. There existed a spatial recognition relationship between antigens and antibodies that was independent of the uniqueness of antibody sequences, which means that antibodies with different sequences could potentially form similar local spatial structures and recognize the same epitopes.

ObjectiveTo investigate the influenza virus infection status of influenza-like illness (ILI) at a sentinel hospital in Baoshan District of Shanghai, to explore the seasonal patterns of influenza, so as to provide a scientific basis for influenza prevention and control in Baoshan District of Shanghai. MethodsSurveillance data and pathogenic testing results of ILI from the monitoring year of 2015 to 2023 were collected from the sentinel hospital to describe the seasonal epidemic characteristics of influenza in this district. ResultsThe proportion of ILI visits to sentinel hospital in Baoshan District of Shanghai showed an upward trend from 2015 to 2023 (Z=2.598, P=0.09). The positive rate of influenza virus in ILI was 20.43% (1 761/8 621), of which 14.17% were positive for influenza A virus, including 8.43% for influenza A/H3N2 and 5.74% for influenza A/H1N1. The positive rate of influenza B virus was 6.25%, of which the positive detection rate of influenza B/Victoria virus was 5.35%, while that of influenza B/Yamagata virus was 0.90%. Influenza B/Yamagata virus was not detected in 2019‒2023. The highest positivity rate was observed in the 5‒<15 years age group (25.57%). The positive rate of ILI was lower in males (19.90%) than that in females (20.90%). There were three patterns of influenza epidemic in the district: with year-round circulation in 2016‒2017 and 2021‒2022; with bimodal peaks in 2015‒2016, 2017‒2018 and 2022‒2023; and with one peak in 2018‒2019 and 2019‒2020. The positive rate of influenza virus exhibited seasonal variations, with influenza A virus predominated in summer and autumn. However, influenza B virus showed an increase in spring and winter. ConclusionThe influenza epidemic in Baoshan District, Shanghai exhibits diverse patterns with heterogeneous epidemiological characteristics across different age groups and seasons. Notably, children and adolescents aged 5‒<15 years constitute the key target population for influenza prevention and control. Enhanced surveillance and targeted control measures against influenza A/H3N2 lineage viruses are particularly warranted during summer and autumn seasons.