OBJECTIVE To establish the UPLC fingerprint and the method for multi-component content determination in Jingangteng capsules， and to evaluate its quality by combining chemical pattern recognition analysis. METHODS An UPLC method was established. Separation was performed on a Zorbax SB-C 18 Rapid Resolution HD column， with acetonitrile-0.1% formic acid as the mobile phase for gradient elution.Using the Similarity Evaluation System for Chromatographic Fingerprints of Traditional Chinese Medicines （2012 edition）， UPLC fi ngerprints were established for 10 batches of Jingangteng capsules， and similarity was evaluated. SPSS 22.0 and SIMCA 14.1 software were used to perform hierarchial-cluster analysis and orthogonal partial least squares discriminant analysis （OPLS-DA）， respectively. The same UPLC method was employed to determine the contents of chlorogenic acid， 3，5-dihydroxy-2-methylbenzoic acid-3- O -glucoside （M1）， caffeic acid， astilbin， oxyresveratrol， quercitrin and resveratrol in the 10 batches of samples. RESULTS A total of 17 common peaks were identified in UPLC fingerprints of the 10 batches of samples， of which 7 were identified as chlorogenic acid， M1， caffeic acid， astilbin， oxyresveratrol， quercitrin， and resveratrol. The similarities of 10 batches of samples ranged from 0.820 to 0.985. The results of hierarchial-cluster analysis showed that 10 batches of samples were grouped into four categories： S1-S4 formed one group， S5 and S6 formed another， S7， S8 and S10 formed a third， and S9 formed a fourth， consistent with the OPLS-DA results； the variable importance projection values for peaks 7， 10， 2， 16 （resveratrol）， 13 （oxyresveratrol）， 11， 6 （caffeic acid）， 5 （M1） and 15 （quercitrin） were ＞1. Quantitative analysis results showed that the contents of chlorogenic acid， M1， caffeic acid， astilbin， oxyresveratrol， quercitrin， and resveratrol were 1.650 8-4.213 7， 0.636 2-2.161 7， 0.031 0-0.086 5， 0.239 1-1.069 3， 0.211 9-1.104 0， 0.488 8-2.399 2， and 0.164 0-0.699 8 mg/g， respectively. CONCLUSIONS UPLC fingerprint and content determination methods established in this study are simple to operate， accurate， reliable and reproducible； when combined with chemical pattern recognition analysis， they can be used to evaluate the quality of Jingangteng capsules. Nine components， such as resveratrol， oxyresveratrol， caffeic acid， M1 and quercitrin， may serve as markers of quality variation.

ObjectiveTo describe the medical services quality and safety of rehabilitation medicine departments in general hospitals and rehabilitation hospitals in 2022 from the aspects of structure, link and outcome quality. MethodsThrough the National Clinical Improvement System of the National Health Commission, all secondary and above general hospitals and rehabilitation hospitals were investigated in 2022, the relevant data from 7 250 hospitals, including traditional Chinese medicine hospitals and integrated traditional Chinese and Western medicine hospitals in 2022. A total of 3 153 sampling hospitals that equipped with rehabilitation medicine wards were included for analysis. ResultsAmong the 7 250 general hospitals surveyed this year, only 3 277 equipped with rehabilitation wards. In general hospitals, the average number of physicians per bed in 56.46% hospitals, the average number of rehabilitation therapists per bed in 77.67% hospitals, and the average number of nurses per bed in 51.18% hospitals did not meet the national requirements. The rates of early rehabilitation intervention were 13.98%, 20.82% and 21.36% respectively in the department of orthopedics, department of neurology and department of intensive care in general hospitals. The average activity of daily living improvement rate of discharged patients from rehabilitation departments of general hospitals was 77.69%, and that of discharged patients from rehabilitation specialized hospitals was 66.78%. ConclusionThere are insufficient allocation of wards and facility scales in the department of rehabilitation medicine, a shortage of human resources for rehabilitation services, inadequate integration of rehabilitation services with clinical services, and there is still scope for enhancing the effect and efficiency of rehabilitation services. It is recommended to expand the scale of rehabilitation services and improve discipline construction; increase the quantity and quality of rehabilitation human resources; incorporate rehabilitation services into the health service system; establish and modify clinical rehabilitation guidelines and technical specifications; and construct a rehabilitation medical information platform.

ObjectiveBased on the conjoint analysis of transcriptome and metabolome， the key genes in the phenylpropanoid biosynthesis pathway of Lonicera macranthoides were explored， which provided a basis for further exploring the synthesis and regulation mechanism of phenylpropanoid compounds in "Xianglei" L. macranthoides. MethodsThe stem， leaves， and three flowering flowers of "Xianglei" L. macranthoides were selected as experimental materials to construct transcriptome and metabolome. The transcriptome and metabolomics were conjointly analyzed by the Kyoto Encyclopedia of Genes and Genomes （KEGG） database and weighted correlation network analysis （WGCNA）， and the key genes in the phenylpropanoid biosynthesis pathway of L. macranthoides were explored. ResultsIn this study， 77 differential phenylpropanoids and 315 differential genes were found. Through the joint analysis of transcription and metabolism， nine key differential metabolites and four key genes related to them were finally discovered. Among them， cinnamic acid， 5-O-caffeoylshikimic acid，sinapyl alcohol， and chlorogenic acid were higher in flowers， and the content of the iconic effective component， namely chlorogenic acid，decreased sharply during the withering period. Caffeic acid，ferulic acid， 5-hydroxyconiferaldehyde，p-coumaryl alcohol， and syringin were higher in leaves. These four key genes belong to the cinnamic alcohol dehydrogenase （CAD） family， 4-coumaric acid： Coenzyme A （4CL） family， hydroxycinnamyl transferase （HCT） family， and L-phenylalanine ammonlyase （PAL） family genes. ConclusionAmong the four key genes excavated from L. macranthoides， TRINITY_DN42767_c0_g6 is related to the synthesis of p-coumaryl alcohol and sinapyl alcohol. TRINITY_DN43525_c4_g1 uses caffeic acid，ferulic acid，and cinnamic acid as substrates to catalyze the next reaction. TRINITY_DN47958_c3_g4 correlates with the synthesis of 3-p-coumaroyl quinic acid and caffeoyl-CoA， and TRINITY_DN52595_c1_g2 correlates with cinnamic acid synthesis. These findings provide a basis for further exploring the synthesis and regulation mechanism of phenylpropanoids in "Xianglei" L. macranthoides.

Objective:To explore the correlation between intrahepatic cholestasis of pregnancy(ICP)and ad-verse pregnancy outcomes.Methods:A total of 511 singleton pregnant women with ICP treated at The Third Affili-ated Hospital of Guangzhou Medical University from August 2017 to January 2024 were selected as the study sub-jects.Among them,patients were divided into the adverse pregnancy outcome group(n=49)and the control group without adverse pregnancy outcomes(n=462).The general and clinical data of the two groups were com-pared and analyzed.Results:①General situation:The number of pregnancies and deliveries,ICU transfer rate,total hospital stay,and total hospitalization costs were significantly higher in the adverse pregnancy outcome group compared to the control group(P<0.05).The number of prenatal check-ups,diagnostic gestational weeks,and gestational weeks at delivery were significantly lower compared to the control group(P<0.05).②Clinical symp-toms:The incidence of itching in the adverse pregnancy outcome group was lower compared to the control group(10.2%vs.26.6%,P<0.05),while other symptoms such as rash,fatigue,jaundice,and gastrointestinal symp-toms showed no significant difference between the two groups(P>0.05).③Laboratory examinations:Compared with the control group,patients in the adverse pregnancy outcome group had significantly the increased levels of alanine aminotransferase,aspartate aminotransferase,uric acid,urea nitrogen,and triglycerides,and significantly the decreased levels of alkaline phosphatase and fasting blood glucose,with statistical significance(P<0.05).Other biochemical indicators showed no significant difference between the two groups(P>0.05).④ICP grading and complications:The proportion of early-onset ICP,severe and very severe ICP in the adverse pregnancy out-come group was significantly higher compared to the control group(P<0.001);the proportion of adverse preg-nancy outcome group with pregnancy-induced hypertension was significantly higher compared to the control group;the incidence of preterm birth,fetal growth restriction,meconium-stained amniotic fluid,and fetal distress in the adverse pregnancy outcome group was significantly higher compared to the control group(P<0.001).⑤Neo-natal outcomes:The neonatal Apgar scores(1 min,5 min,10 min)and neonatal weight in the adverse pregnancy outcome group were lower compared to the control group(P<0.001),and the incidence of mild neonatal asphyx-ia was significantly higher,with a statistically significant difference(P<0.001).Conclusions:The severity of ICP is closely related to the occurrence of adverse pregnancy outcomes.Therefore,it is clinically necessary to pay at-tention to the grading of ICP,closely monitor the levels of total bile acids and liver enzymes,and try to avoid ad-verse pregnancy outcomes,especially intrauterine fetal death.

Objective To analyze the prevalence of latent tuberculosis infection(LTBI)among relevant healthcare workers(HCWs)in designated tuberculosis medical institutions(MIs)in Yantai City,and explore its influencing factors.Methods The cluster random sampling method was adopted to select two county-and district-level desig-nated tuberculosis MIs.All HCWs underwent questionnaire survey and creation tuberculin skin test(C-TST)at the same time,and the influencing factors for LTBI were analyzed.Results A total of 215 HCWs from designated tu-berculosis MIs were included for analysis,37 were diagnosed with LTBI,with an infection rate of 17.21％(95％CI:12.42％-22.93％).Multivariate logistic regression analysis showed that clinicians(OR=3.19,95％CI:1.05-9.69),laboratory technician(OR=5.90,95％CI:1.21-28.77),working years≥10 years(OR=3.31,95％CI:1.39-7.90),and tuberculosis history of family members(OR=6.49,95％CI:1.01-41.46)were independent risk factors for LTBI.Conclusion The infection risk of clinicians and laboratory technicians who directly contact with tuberculosis patients or Mycobacterium tuberculosis is higher than that of other HCWs,and is related to the length of working years.It is suggested that healthcare-associated infection control measures should be streng-thened,and tuberculosis active screening should be carried out regularly for HCWs in key departments.

Objective:To analyze the clinical characteristics of tigecycline-related adverse reactions and provide the basis for the safe and rational use of the drug.Methods:Adverse reaction reports with suspected drug as tigecycline from Beijing Adverse Drug Reaction Monitoring Center from January 1st, 2019 to June 30th, 2024 were collected. The adverse reaction reports were standardized using the preferred term (PT) and system organ class (SOC) in the Chinese updated edition (2015 version) of the World Health Organization Adverse Reaction Terminology. The patients' general condition, tigecycline use, and adverse reaction occurrence (including latency, severity, treatment, outcome, and correlation evaluation) were descriptively and statistically analyzed. Results:A total of 408 tigecycline-related adverse reaction reports were entered, including 153 females (37.5%) and 255 males (62.5%). The age was (68±21) years, ranging from 2 to 99. The main reasons for tigecycline use were infections of lung, blood flow, skin and skin soft tissue, etc. The pathogens were mainly Klebsiella pneumoniae, Acinetobacter baumanii, Escherichia coli, etc. The usage and dosage of tigecycline in most patients were in line with the instructions. Four hundred and eight adverse event reports involved 11 SOCs and 580 PTs. The top 3 SOCs were gastrointestinal diseases (195 case times, 33.62%), vascular, bleeding and coagulation diseases (183 case times, 31.55%), and hepatobiliary diseases (142 case times, 24.48%). The main clinical manifestations were nausea, vomiting, diarrhea, etc. The main laboratory abnormalities were decreased plasma fibrinogen, decreased platelet count, increased alanine aminotransferase, increased aspartate aminotransferase, and increased bilirubin. There were 27 case times of adverse reactions that were not recorded in the instructions, mainly including leukopenia, abdominal distension, fever, dysbacteriosis, etc. The latency of adverse reactions ranged from 5 min to 65 days, with a median time of 5 days. The grade of adverse reactions was general in 379 patients (92.89%) and severe in 29 patients (7.11%). The top 3 SOCs involved in 53 case times of severe adverse reactions were hepatobiliary diseases (30 case times, 56.60%), vascular, bleeding and coagulation diseases (8 case times, 15.09%), and urinary tract diseases (4 case times, 7.55%), the main clinical manifestations were elevated liver enzymes, coagulation disorders, pancreatitis, etc. After the occurrence of adverse reactions, all patients stopped tigecycline, and received symptomatic treatments such as liver protection, intravenous infusion of human fibrinogen, intravenous infusion of platelets, and antidiarrheal therapy. Among 408 patients, 66 (16.18%) were cured, 297 (72.79%) were improved, 20 (4.90%) were not improved, and 25 cases' outcome (6.13%) were unknown. The shortest time for recovery or improvement was 0.5 hour, the longest was 44 days, with a median time of 5 days. The correlation between tigecycline and adverse reactions was probable in 132 patients (32.35%), and possible in 276 patients (67.65%). Conclusions:Tigecycline-related adverse reactions involve multiple organ systems, mainly including gastrointestinal diseases, vascular, bleeding and coagulation diseases, and hepatobiliary diseases, etc. which can lead to severe adverse reactions such as acute pancreatitis and coagulation disorders. After drug withdrawal and symptomatic treatments, most patients had a good prognosis.

Objective To explore the application of artificial intelligence quantitative analysis in the prognostic assessment of patients with connective tissue disease-associated interstitial lung disease(CTD-ILD).Methods A total of 67 patients with CTD-ILD were retrospectively selected.All subjects underwent high-resolution computed tomography(HRCT)scanning and were categorized into three groups,namely mild,moderate and severe groups,based on the results of pulmonary function tests.The survival rates of patients in each group were compared using Kaplan-Meier curves and analysis of variance.The univariate analysis was employed to assess the rela-tionships between artificial intelligence parameters and patient prognosis.Significant results were then incorporated into a multifacto-rial Cox regression model to construct the most accurate predictive model.Results A significant difference in survival rate was observed among the three groups(P<0.05).Univariate analysis revealed that the volume and percentage of lung infection in deceased patients were significantly greater than those in surviving patients,while the lung volume in deceased patients was significantly smaller than that in surviving patients.The analysis showed left lung volume and the percentage of lesion components CT value≤-750 HU as risk factors for prognosis,and the combination of these two factors as the most effective predictive model.Conclusion The artificial intelligence analysis system for lung lesions provides a new systematic and quantitative method for the prognostic assessment of CTD-ILD patients,which can be used for the prognostic assessment and follow-up of CTD-ILD patients.

Objective To explore the application of artificial intelligence quantitative analysis in the prognostic assessment of patients with connective tissue disease-associated interstitial lung disease(CTD-ILD).Methods A total of 67 patients with CTD-ILD were retrospectively selected.All subjects underwent high-resolution computed tomography(HRCT)scanning and were categorized into three groups,namely mild,moderate and severe groups,based on the results of pulmonary function tests.The survival rates of patients in each group were compared using Kaplan-Meier curves and analysis of variance.The univariate analysis was employed to assess the rela-tionships between artificial intelligence parameters and patient prognosis.Significant results were then incorporated into a multifacto-rial Cox regression model to construct the most accurate predictive model.Results A significant difference in survival rate was observed among the three groups(P<0.05).Univariate analysis revealed that the volume and percentage of lung infection in deceased patients were significantly greater than those in surviving patients,while the lung volume in deceased patients was significantly smaller than that in surviving patients.The analysis showed left lung volume and the percentage of lesion components CT value≤-750 HU as risk factors for prognosis,and the combination of these two factors as the most effective predictive model.Conclusion The artificial intelligence analysis system for lung lesions provides a new systematic and quantitative method for the prognostic assessment of CTD-ILD patients,which can be used for the prognostic assessment and follow-up of CTD-ILD patients.

Objective:This study aims to investigate the differences in emotional status and cognitive function among patients with vestibular migraine (VM), Meniere′s disease (MD), and their comorbidity (VMMD), and to analyze key factors influencing cognitive function.Methods:This cross-sectional study included 96 outpatients (32 males, 64 females, aged 21-73 years) from the Department of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, between December 2022 and December 2023. The study population consisted of 31 VM patients (VM group), 36 MD patients (MD group), and 29 VMMD patients (VMMD group), along with 32 healthy controls (16 males, 16 females, aged 19-74 years). Cognitive function was assessed using the Montreal Cognitive Assessment (MoCA), while emotional status and somatization symptoms were evaluated through the Generalized Anxiety Disorder scale, Patient Health Questionnaire Depression scale, Symptom Checklist-90, and the Self-rating Somatization Symptom scale. Multiple linear regression analysis was conducted to explore the influence of different variables on cognitive function.Results:The total MoCA score in the VMMD group (26.0 [24.5, 28.0]) was significantly lower than that in the control group (28.0 [27.0, 29.0]) and the MD group (28.0 [26.0, 30.0]) ( P=0.006). VMMD patients exhibited significant impairments in specific cognitive domains, including visuospatial/executive function, delayed recall, and orientation ( P<0.05). Patients with VM, MD, and VMMD showed higher rates of anxiety, depression, and somatization symptoms compared to the control group ( P<0.05), with the VMMD group experiencing the most severe emotional distress. Multiple linear regression analysis identified education level and vestibular disease type as key factors affecting cognitive function, with a university-level education predicting higher MoCA scores ( P<0.001), while VMMD was associated with cognitive decline ( P<0.01). Conclusions:Patients with VM and MD, particularly those with comorbid VMMD, exhibit significant emotional distress. Cognitive impairments are present in VM and VMMD patients, affecting different cognitive domains. These factors should be comprehensively considered in clinical assessments to develop more effective treatment strategies.

Objective To analyze the prevalence of latent tuberculosis infection(LTBI)among relevant healthcare workers(HCWs)in designated tuberculosis medical institutions(MIs)in Yantai City,and explore its influencing factors.Methods The cluster random sampling method was adopted to select two county-and district-level desig-nated tuberculosis MIs.All HCWs underwent questionnaire survey and creation tuberculin skin test(C-TST)at the same time,and the influencing factors for LTBI were analyzed.Results A total of 215 HCWs from designated tu-berculosis MIs were included for analysis,37 were diagnosed with LTBI,with an infection rate of 17.21％(95％CI:12.42％-22.93％).Multivariate logistic regression analysis showed that clinicians(OR=3.19,95％CI:1.05-9.69),laboratory technician(OR=5.90,95％CI:1.21-28.77),working years≥10 years(OR=3.31,95％CI:1.39-7.90),and tuberculosis history of family members(OR=6.49,95％CI:1.01-41.46)were independent risk factors for LTBI.Conclusion The infection risk of clinicians and laboratory technicians who directly contact with tuberculosis patients or Mycobacterium tuberculosis is higher than that of other HCWs,and is related to the length of working years.It is suggested that healthcare-associated infection control measures should be streng-thened,and tuberculosis active screening should be carried out regularly for HCWs in key departments.