Objective To explore the feasibility and reference value of allogeneic lung transplantation and postoperative monitoring in miniature pigs for lung transplantation research. Methods Two miniature pigs (R1 and R2) underwent left lung allogeneic transplantation. Complement-dependent cytotoxicity tests and blood cross-matching were performed before surgery. The main operative times and partial pressure of arterial oxygen (PaO₂) after opening the pulmonary artery were recorded during surgery. Postoperatively, routine blood tests, biochemical blood indicators and inflammatory factors were detected, and pathological examinations of multiple organs were conducted. Results The complement-dependent cytotoxicity test showed that the survival rate of lymphocytes between donors and recipients was 42.5%-47.3%, and no agglutination reaction occurred in the cross-matching. The first warm ischemia times of D1 and D2 were 17 min and 10 min, respectively, and the cold ischemia times were 246 min and 216 min, respectively. Ultimately, R1 and R2 survived for 1.5 h and 104 h, respectively. Postoperatively, in R1, albumin (ALB) and globulin (GLB) decreased, and alanine aminotransferase increased; in R2, ALB, GLB and aspartate aminotransferase all increased. Urea nitrogen and serum creatinine increased in both recipients. Pathological results showed that in R1, the transplanted lung had partial consolidation with inflammatory cell infiltration, and multiple organs were congested and damaged. In R2, the transplanted lung had severe necrosis with fibrosis, and multiple organs had mild to moderate damage. The expression levels of interleukin-1β and interleukin-6 increased in the transplanted lungs. Conclusions The allogeneic lung transplantation model in miniature pigs may systematically evaluate immunological compatibility, intraoperative function and postoperative organ damage. The data obtained may provide technical references for subsequent lung transplantation research.

To explore the variation laws of volatile oil during the extraction process of Artemisiae Argyi Folium and its impact on the quality of the medicinal solution, as well as to achieve precise control of the extraction process, this study employed headspace solid phase microextraction gas chromatography-mass spectrometry(HS-SPME-GC-MS) in combination with multiple light scattering techniques to conduct a comprehensive analysis, identification, and characterization of the changes in volatile components and the physical properties of the medicinal solution during the extraction process. A total of 82 volatile compounds were identified using the HS-SPME-GC-MS technique, including 21 alcohols, 15 alkenes, 14 ketones, 9 acids, 6 aldehydes, 5 phenols, 3 esters, and 9 other types of compounds. At different extraction time points(15, 30, 45, and 60 min), 71, 72, 64, and 44 compounds were identified in the medicinal solution, respectively. It was observed that the content of volatile components gradually decreased with the extension of extraction time. Through multivariate statistical analysis, four compounds with significant differences during different extraction time intervals were identified, namely 1,8-cineole, terpinen-4-ol, 3-octanone, and camphor. RESULTS:: from multiple light scattering techniques indicated that at 15 minutes of extraction, the transmittance of the medicinal solution was the lowest(25%), the particle size was the largest(0.325-0.350 nm), and the stability index(turbiscan stability index, TSI) was the highest(0-2.5). With the extension of extraction time, the light transmittance of the medicinal solution improved, stability was enhanced, and the particle size decreased. These laws of physicochemical property changes provide important basis for the control of Artemisiae Argyi Folium extraction process. In addition, the changes in the bioactivity of Artemisiae Argyi Folium extracts during the extraction process were investigated through mouse writhing tests and antimicrobial assays. The results indicated that the analgesic and antimicrobial effects of the medicinal solution were strongest at the 15-minute extracting point. In summary, the findings of this study demonstrate that the content of volatile oil in Artemisiae Argyi Folium extracts gradually decreases with the extension of extraction time, and the variation in volatile oil content directly influences the physicochemical properties and pharmacological efficacy of the medicinal solution. This discovery provides important scientific reference for the optimization of Artemisiae Argyi Folium extraction processes and the development and application of process analytical technologies.
Oils, Volatile/pharmacology* ; Artemisia/chemistry* ; Gas Chromatography-Mass Spectrometry ; Drugs, Chinese Herbal/pharmacology* ; Chlorogenic Acid/pharmacology* ; Solid Phase Microextraction ; Quality Control

Objective:To explore the construction of management system of dynamic adjustment for supply catalogue of medical consumables based on diagnosis related groups(DRG),so as to realize the fine supervision and management of rational and compliant use for medical consumables.Methods:The management system of dynamic adjustment for supply catalogue of medical consumables was constructed from 6 dimensions(system establishment,hierarchical management,detailed classification,announcement management,strengthening trial and standardizing contract)through analyzed the existing problems.A total of 149 broad headings of using medical consumables in clinical work of Children's Hospital,Zhejiang University School of Medicine from January 2022 to December 2023 were selected.The changes of the ratio of hygienic material's income in medical income,and the ratio of hygienic material's cost in medically overall cost were compared between before adopted the management system of dynamic adjustment for supply catalogue of medical consumables(2022)and after adopted that(2023).Results:After dynamic adjustment,32 broad headings(21.48%)of 149 broad headings of medical consumables were adjusted according to trial process,and 14 broad headings(9.40%)of medical consumables were optimized in the secondary catalogue,and 85 broad headings(57.05%)of medical consumables reduced their product brand,and the use of 8(5.37%)broad headings of medical consumables were stopped.On the premise that both the person-time of outpatient and emergency,and the person-time of discharge increased,the ratio of the income of hygienic material in medical income decreased from 8.02%of 2022 to 7.29%of 2023,and the ratio of hygienic material cost in overall medical cost decreased from 15.38%of 2022 to 14.17%of 2023,and the accumulated cost of medical consumables was reduced by 7.37 million CNY,accounting for 4.1%of the expenditure of medical consumables.Online procurement rates of medical consumables were respectively 93.05%and 94.34%in 2022 and 2023,which showed an increasing trend year by year.Conclusion:The application of management system of dynamic adjustment for supply catalogue of medical consumables can reduce the ratio of consumables of hospital,and improve the management efficiency of medical consumables,and reduce the procurement cost of medical consumables.

Objective To propose a novel identification algorithm based on ensemble learning for assessing the severity of acute respiratory distress syndrome(ARDS)to achieve continuous monitoring of the disease severity.Methods Firstly,leve-raging the open-source MIMIC-Ⅳ database,a variety of non-invasive physiological parameters of patients were extracted and subjected to preliminary preprocessing.A multivariate feature selection algorithm was employed to rank these parameters and calculate feature importance scores through weighted computation.Secondly,based on the feature importance scores,a subset search algorithm was utilized to identify the subset of features that could yield optimal performance across four machine learning algorithms:neural networks,logistic regression,AdaBoost and XGBoost.Finally,a soft voting ensemble method was designed using a generalized linear regression model to integrate the results of each single machine learning algorithm,and a multivariate ensemble learning algorithm was proposed by combining the optimal feature subsets.The algorithm proposed when used to identify the severity of ADRS was evaluated with MIMIC-Ⅳ database,and compared with the traditional algorithms.Results The sensitivity,specificity,accuracy and AUC of the algorithm were 87.15％,89.23％,88.34％and 0.923 4,respectively,all of which outperformed those of the traditional algorithms.Conclusion The ARDS severity identification algorithm based on ensemble learning is capable of achieving continuous and real-time monitoring of the severity of ARDS,thereby offering robust support for the early identification and warning of ARDS in patients.[Chinese Medical Equipment Journal,2025,46(2):1-9]

Objective To investigate the postoperative efficacy of laparoscopic hiatal hernia repair(LHHR)combined with Toupet or Dor fundoplication for the treatment of esophageal hiatal hernia(HH).Methods A retrospective analysis was conducted on the case data of HH patients who underwent LHHR combined with Toupet(Toupet group,n=53)and Dor(Dor group,n=53)fundoplication between December 2018 and December 2022 in Department of General Surgery of Gansu Provincial Hospital.Intraoperative and postoperative recovery outcomes of both groups were observed.We analyzed and compared the incidence of dysphagia and gastroesophageal reflux disease questionnaire(GERD-Q)scores at preoperative and postoperative intervals of 1 month,6 months,and 1 year.The incidence of postoperative complications and the 1-year recurrence rate were compared between the two groups.Additionally,factors influencing postoperative dysphagia within the first month were examined.Results The differences between the two groups in operation time,intraoperative bleeding,postoperative ventilation time,postoperative extubation time and hospitalization time were not statistically significant(P>0.05).There was no significant difference in the incidence of immediate postoperative dysphagia in two groups(P>0.05).Furthermore,the differences between the two groups in the incidence of postoperative complications,such as bloating,abdominal pain and diarrhea,were not statistically significant(P>0.05).The incidence of dysphagia in Toupet group was higher than that in Dor group at 1 month postoperatively,and the difference was statistically significant(P=0.017);but the difference in the incidence of dysphagia between the two groups at 6 months and 1 year postoperatively was not statistically significant(P=0.767,1.000).The results of binary logistic regression analysis showed that both surgical procedure(OR=2.613,95%CI 1.141-5.983,P=0.023)and esophageal contractile reserve function(OR=2.921,95%CI 1.203-7.095,P=0.018)were independent risk factors for the incidence of dysphagia in patients with HH at 1 month after surgery.Compared with the preoperative period,the GERD-Q symptom scores were lower in both groups at 1 month,6 months,and 1 year postoperatively,and the difference was statistically significant(P<0.05);but there was no statistically significant difference between the groups at the same time point(Fintergroup=0.334,P=0.565).The difference between the two groups in 1-year postoperative recurrence rates was not statistically significant(P>0.05).Conclusions LHHR combined with Toupet or Dor fundoplication are both safe and effective surgical procedures for the treatment of HH,with excellent reflux control,fewer complications and lower recurrence rates,but Toupet fundoplication is more likely to have postoperative short-term dysphagia than Dor fundoplication.

Hilar cholangiocarcinoma is insidious in onset and often causes obstructive jaundice due to bile stasis,leading to impaired liver function.For tumors with malignant obstructive jaundice,biliary drainage is often performed before surgery in clinical practice.Currently,the commonly used drainage methods are percutaneous transhepatic biliary drainage(PTBD)and endoscopic retrograde biliary drain-age(ERBD),but there are controversies over the advantages and disadvantages of the two drainage methods.PTBD drainage can often lead to tumor implantation metastasis,but the underlying mechanism remains unclear.We detected tumor cells in PTBD and ERBD bile samples from hilar cholangiocarcino-ma patients,subsequently explored their tumorigenicity and mechanisms through tumorsphere assay in vitro and xenograft tumor models in vivo.The experiments included benign gallstones group(30 cases)as a negative control,PTBD group(14 cases)and ERBD group(13 cases).Tumorsphere formation was i-dentified in 3 cases(23％)among the 13 cases of ERBD group,in 6 cases(42％)among the 14 cases of PTBD group,but there were no tumor cells or formed tumorspheres in the 30 cases of benign gallstone group.The tumor sphere formation ability of cells in the PTBD group was significantly higher than that in ERBD group.Subcutaneous xenograft tumor assays showed that tumor growth in the PTBD group was sig-nificantly higher than that in the ERBD group.Tumor cells in PTBD bile possessed stronger tumorigenici-ty compared with the ERBD group.Mechanically,stem cell transcription factor Nanog mRNA levels were significantly higher in the PTBD group compared to the ERBD group.Both tumorsphere formation and xenograft tumor growth were reduced by Nanog knockdown in three cases of the PTBD group,indicating the important roles of Nanog in tumorigenicity of PTBD group tumor cells.The half-life of Nanog mRNA was longer in PTBD group cells than in ERBD group cells,suggesting potential post-transcriptional regu-lation on Nanog mRNA.The Nanog m6A level was higher in PTBD group tumor cells compared to the ERBD group.Analysis of methyltransferases and demethylases,ALKBH5(α-ketoglutarate dependent dioxygenase alkb family homolog 5)mRNA levels were lower in the PTBD group than in the ERBD group and significantly correlated with the m6A level of Nanog.ALKBH5 knockdown led to an increase in the m6A level of Nanog,while ALKBH5 overexpression decreased the m6A level of Nanog.Dual-luciferase activity assays demonstrated that ALKBH5 knockdown significantly enhanced luciferase activity,whereas ALKBH5 overexpression reduced it.Further studies confirmed that ALKBH5 knockdown upregulated both the mRNA and protein levels of Nanog,whereas overexpressing ALKBH5 downregulated them.ALKBH5 mediated the demethylation modification of Nanog mRNA,and the lower levels of ALKBH5 expression in the PTBD group promoted Nanog's m6A modification.Overexpressing ALKBH5 decreased tumorsphere growth,while ALKBH5 knockdown increased it,which was subsequently reduced by the simultaneous Nanog knockdown again.In sum,tumor cells in PTBD and ERBD drainage bile from hilar cholangiocar-cinoma patients exhibited tumorigenicity.Compared to the ERBD group,tumor cells in PTBD bile with lower ALKBH5 expression levels enhanced Nanog's m6A modification to upregulate Nanog expression levels,resulting in stronger tumorigenicity.These findings are significant for elucidating propensity to tumor implantation metastasis from PTBD drainage.

Objective:To explore the latent class of childhood abuse and recent life stress in adolescent depression patients, and its effect on intermittent theta-burst stimulation (iTBS) treatment efficacy.Methods:From August 2023 to February 2024, a total of 60 adolescent patients with depression were enrolled. The Chinese version of the maltreatment and abuse chronology of exposure scale (MACE), adolescent self-rating life events check list (ASLEC), Montgomery-Asberg depression rating scale (MADRS)and suicidal ideation scale 5 (SSI-5)were used to assess all subjects. Using latent class analysis, subjects were divided into different subgroups according to 16 factors of MACE and ASLEC. Brain network analysis was conducted using the Dosenbach brain atlas with 160 regions of interest, which were divided into seven large-scale brain subnetworks: visual network (VN), somatosensory motor network (SMN), dorsal attention network (DAN), ventral attention network (VAN), subcortical network (SCN), frontoparietal network (FPN), and default mode network (DMN). Brain network functional connectivity analysis was performed using the DPABI plugin on MATLAB R2022b platform to compare differences in functional connectivity at both edge and network levels between subjects. Data analysis was conducted using SPSS 27.0 software, employing Shapiro-Wilk test, chi-square test, independent samples t-test, and Mann-Whitney U test. Results:Based on latent class analysis, subjects were divided into high abuse-high stress group ( n=38) and low abuse-high stress group ( n=22). At baseline, the high abuse-high stress group showed significantly higher scores in SSI-5 (6.39±2.26 vs 3.45(0, 5.25)), Z=-3.628, P<0.001) and MADRS item 10 (3.00(2.00, 5.00) vs 2.00(0.75, 3.25), Z=-2.794, P=0.005) compared to the low abuse-high stress group, while there was no statistically significant difference in the total score of MADRS between the two groups (27.77±4.19, 26.59±4.74, t=1.972, P=0.053). There was no statistically significant difference in the D-value of MADRS score before and after treatment between the two groups (8.45±6.03, 7.27±5.99, t=0.729, P=0.469) and the D-value of MADRS item 10 score before and after treatment between the two groups (1.00 (0, 3.00), 1.00 (0, 1.00), Z=-1.189, P=0.234). The high abuse-high group showed significantly weakened functional connectivity at the edge level compared to low abuse-high stress group at baseline ( P<0.05, NBS corrected). In the high abuse-high stress group, the mean FC values in the differential brain regions at baseline showed significant negative correlation with baseline suicidal ideation scores ( r=-0.475, P=0.003). Conclusion:The different patterns of childhood abuse and recent life stress affect the baseline clinical presentation and brain network functional connectivity of adolescent depression patients. However, the high abuse-high stress group and low abuse-high stress group showed similar responses to iTBS treatment.

Objective:To explore the latent class of childhood abuse and recent life stress in adolescent depression patients, and its effect on intermittent theta-burst stimulation (iTBS) treatment efficacy.Methods:From August 2023 to February 2024, a total of 60 adolescent patients with depression were enrolled. The Chinese version of the maltreatment and abuse chronology of exposure scale (MACE), adolescent self-rating life events check list (ASLEC), Montgomery-Asberg depression rating scale (MADRS)and suicidal ideation scale 5 (SSI-5)were used to assess all subjects. Using latent class analysis, subjects were divided into different subgroups according to 16 factors of MACE and ASLEC. Brain network analysis was conducted using the Dosenbach brain atlas with 160 regions of interest, which were divided into seven large-scale brain subnetworks: visual network (VN), somatosensory motor network (SMN), dorsal attention network (DAN), ventral attention network (VAN), subcortical network (SCN), frontoparietal network (FPN), and default mode network (DMN). Brain network functional connectivity analysis was performed using the DPABI plugin on MATLAB R2022b platform to compare differences in functional connectivity at both edge and network levels between subjects. Data analysis was conducted using SPSS 27.0 software, employing Shapiro-Wilk test, chi-square test, independent samples t-test, and Mann-Whitney U test. Results:Based on latent class analysis, subjects were divided into high abuse-high stress group ( n=38) and low abuse-high stress group ( n=22). At baseline, the high abuse-high stress group showed significantly higher scores in SSI-5 (6.39±2.26 vs 3.45(0, 5.25)), Z=-3.628, P<0.001) and MADRS item 10 (3.00(2.00, 5.00) vs 2.00(0.75, 3.25), Z=-2.794, P=0.005) compared to the low abuse-high stress group, while there was no statistically significant difference in the total score of MADRS between the two groups (27.77±4.19, 26.59±4.74, t=1.972, P=0.053). There was no statistically significant difference in the D-value of MADRS score before and after treatment between the two groups (8.45±6.03, 7.27±5.99, t=0.729, P=0.469) and the D-value of MADRS item 10 score before and after treatment between the two groups (1.00 (0, 3.00), 1.00 (0, 1.00), Z=-1.189, P=0.234). The high abuse-high group showed significantly weakened functional connectivity at the edge level compared to low abuse-high stress group at baseline ( P<0.05, NBS corrected). In the high abuse-high stress group, the mean FC values in the differential brain regions at baseline showed significant negative correlation with baseline suicidal ideation scores ( r=-0.475, P=0.003). Conclusion:The different patterns of childhood abuse and recent life stress affect the baseline clinical presentation and brain network functional connectivity of adolescent depression patients. However, the high abuse-high stress group and low abuse-high stress group showed similar responses to iTBS treatment.

Objective To propose a novel identification algorithm based on ensemble learning for assessing the severity of acute respiratory distress syndrome(ARDS)to achieve continuous monitoring of the disease severity.Methods Firstly,leve-raging the open-source MIMIC-Ⅳ database,a variety of non-invasive physiological parameters of patients were extracted and subjected to preliminary preprocessing.A multivariate feature selection algorithm was employed to rank these parameters and calculate feature importance scores through weighted computation.Secondly,based on the feature importance scores,a subset search algorithm was utilized to identify the subset of features that could yield optimal performance across four machine learning algorithms:neural networks,logistic regression,AdaBoost and XGBoost.Finally,a soft voting ensemble method was designed using a generalized linear regression model to integrate the results of each single machine learning algorithm,and a multivariate ensemble learning algorithm was proposed by combining the optimal feature subsets.The algorithm proposed when used to identify the severity of ADRS was evaluated with MIMIC-Ⅳ database,and compared with the traditional algorithms.Results The sensitivity,specificity,accuracy and AUC of the algorithm were 87.15％,89.23％,88.34％and 0.923 4,respectively,all of which outperformed those of the traditional algorithms.Conclusion The ARDS severity identification algorithm based on ensemble learning is capable of achieving continuous and real-time monitoring of the severity of ARDS,thereby offering robust support for the early identification and warning of ARDS in patients.[Chinese Medical Equipment Journal,2025,46(2):1-9]

Objective:To explore the construction of management system of dynamic adjustment for supply catalogue of medical consumables based on diagnosis related groups(DRG),so as to realize the fine supervision and management of rational and compliant use for medical consumables.Methods:The management system of dynamic adjustment for supply catalogue of medical consumables was constructed from 6 dimensions(system establishment,hierarchical management,detailed classification,announcement management,strengthening trial and standardizing contract)through analyzed the existing problems.A total of 149 broad headings of using medical consumables in clinical work of Children's Hospital,Zhejiang University School of Medicine from January 2022 to December 2023 were selected.The changes of the ratio of hygienic material's income in medical income,and the ratio of hygienic material's cost in medically overall cost were compared between before adopted the management system of dynamic adjustment for supply catalogue of medical consumables(2022)and after adopted that(2023).Results:After dynamic adjustment,32 broad headings(21.48%)of 149 broad headings of medical consumables were adjusted according to trial process,and 14 broad headings(9.40%)of medical consumables were optimized in the secondary catalogue,and 85 broad headings(57.05%)of medical consumables reduced their product brand,and the use of 8(5.37%)broad headings of medical consumables were stopped.On the premise that both the person-time of outpatient and emergency,and the person-time of discharge increased,the ratio of the income of hygienic material in medical income decreased from 8.02%of 2022 to 7.29%of 2023,and the ratio of hygienic material cost in overall medical cost decreased from 15.38%of 2022 to 14.17%of 2023,and the accumulated cost of medical consumables was reduced by 7.37 million CNY,accounting for 4.1%of the expenditure of medical consumables.Online procurement rates of medical consumables were respectively 93.05%and 94.34%in 2022 and 2023,which showed an increasing trend year by year.Conclusion:The application of management system of dynamic adjustment for supply catalogue of medical consumables can reduce the ratio of consumables of hospital,and improve the management efficiency of medical consumables,and reduce the procurement cost of medical consumables.