OBJECTIVE To investigate the effects of baicalin （BC） on insulin resistance in rats with gestational diabetes mellitus （GDM） and its underlying mechanism based on the adenosine monophosphate-activated protein kinase （AMPK）/suppressor of variegation 3-9 homolog 1 （SUV39H1）/histone H3 lysine 9 trimethylation （H3K9me3） axis. METHODS A GDM rat model was established by a combination of a high-fat diet and streptozotocin injection. The successfully modeled rats were divided into the GDM group， BC low-dose group， BC high-dose group， and high-dose of BC+AMPK inhibitor （Compound C） group， with 10 rats in each group. Another 10 pregnant rats fed a normal diet served as the control group. Rats in each group were given corresponding drugs/normal saline intragastrically and/or intraperitoneally， once daily for 2 consecutive weeks. After the last administration， the levels of fasting blood glucose （FBG）， pancreatic function indexes [fasting insulin （FINS）， homeostasis model assessment of insulin resistance （HOMA-IR）， insulin sensitivity index （ISI）]， blood lipid indexes （total cholesterol， triglyceride， low-density lipoprotein cholesterol）， liver function indexes （alanine transferase， aspartate transferase， alkaline phosphatase）， inflammatory indicators （C-reactive protein， interleukin-1β， interleukin-6）， metabolic regulatory protein [complement-C1q/tumor necrosis factor-related protein 3 （CTRP3）]， insulin sensitivity related factors [glucose transporter 4 （GLUT4）， adiponectin]， and oxidative stress indicators [superoxide dismutase （SOD）， catalase （CAT）， malondialdehyde （MDA）] were measured. Pathological changes in liver tissue were observed， and the expressions of proteins related to the AMPK/SUV39H1/H3K9me3 axis in liver tissue were detected. RESULTS Compared with the GDM group， rats in the BC low- and high-dose groups showed varying degrees of improvement in pathological changes such as disordered cell arrangement， vacuolar degeneration， lipid deposition， and inflammatory cell infiltration in liver tissue. Their FBG and FINS levels， HOMA-IR， the levels of blood lipid indexes， liver function indexes， inflammatory indicators and MDA， and the expressions of SUV39H1 and H3K9me3 were significantly decreased or down-regulated， while metabolic regulatory protein， insulin sensitivity-related factors and AMPK protein phosphorylation levels were significantly increased （ P ＜0.05）. The improvement was more significant in the BC high-dose group （ P ＜0.05）. Compound C could significantly reverse the ameliorative effects of high-dose BC on the above quantitative indicators （ P ＜0.05）. CONCLUSIONS BC can significantly reduce oxidative stress and inflammatory responses， increase serum levels of CTRP3， GLUT4 and adiponectin， thereby improving insulin resistance in GDM rats. These effects may be related to the activation of AMPK and inhibition of SUV39H1-mediated H3K9me3 modification.

ObjectiveTo investigate the influencing factors and independent risk factors for lower extremity deep vein thrombosis （DVT） in patients with acute necrotizing pancreatitis （ANP）， to analyze the effectiveness of three commonly used risk assessment models for thrombosis （Caprini score， Padua score， and Wells score）， and to provide a reference for clinical identification of high-risk individuals and optimization of prevention and treatment strategies. MethodsA retrospective analysis was performed for the clinical data of 320 patients with ANP who were admitted to Luzhou People’s Hospital and The Affiliated Hospital of Southwest Medical University from April 2013 to April 2024， and according to the presence or absence of DVT during hospitalization， the patients were divided into thrombosis group with 25 patients and control group with 295 patients. After propensity score matching， the two groups were compared in terms of past history and various examination results during hospitalization. The risk factors for lower extremity DVT in ANP patients during hospitalization were analyzed through univariate and multivariate Logistic regression， and a DVT risk prediction model was established based on independent influencing factors. The receiver operating characteristic （ROC） curve was used to assess the performance of models， and the DeLong test was used for comparison of the area under the ROC curve （AUC）， sensitivity， and specificity. The independent-samples t test or the Mann-Whitney U test was used for comparison of continuous data between two groups； the chi-square test was used for comparison of categorical data between groups. ResultsAfter matching， the patients were divided into thrombosis group with 24 patients and control group with 112 patients. The clinical characteristics analysis showed that compared with the control group， the thrombosis group had significantly higher degree of pancreatic necrosis， D-dimer level， Bedside Index for Severity in Acute Pancreatitis （BISAP） score， and proportion of patients undergoing dialysis （all P<0.05）. The multivariable Logistic regression analysis showed that BISAP score， degree of pancreatic necrosis， and D-dimer level were independent risk factors for lower extremity DVT in ANP patients during hospitalization （all P<0.05）. The BISAP-Caprini score model had an AUC of 0.832 （95% confidence interval： 0.722 — 0.942， P<0.001） in predicting the risk of lower extremity DVT， with a Youden index of 1.661， an optimal cut-off value of 0.26， a sensitivity of 75.0%， and a specificity of 91.1%. ConclusionD-dimer， BISAP score， and the degree of pancreatic necrosis are independent risk factors for lower extremity DVT in patients with ANP during hospitalization， and the BISAP-Caprini score model can effectively predict the risk of DVT in ANP patients.

The abnormal accumulation of neutrophil extracellular traps （NETs） can promote the initiation and progression of pancreatic cancer， which is considered a potential therapeutic target for this disease. The Miraculous Pivot·Inquiry About Statement （《灵枢·口问》） have recorded the concept of "defensive qi stagnation". Based on the recognition that the function of defensive qi is similar to the immune function of neutrophils， and combining traditional Chinese medicine theory with clinical practice， it is proposed that the abnormal accumulation of NETs may be a pathological product of "defensive qi stagnation"， with the spleen being the critical site of pathology. Further exploring the application strategy of cleaning spleen and restoring defensive qi method in pancreatic cancer treatment， it is proposed to employ three approaches such as dredging method to eliminate spleen stagnation and inhibit pancreatic cancer proliferation， cleaning method to remove spleen dampness and suppress the inflammatory micro-environment， and tonifying method to strengthen Weiqi and to improve the immune microenvironment， which aims to provide new insights for the clinical treatment of pancreatic cancer with traditional Chinese medicine.

Objective:To construct a maintenance management system based on Total Productive Maintenance(TPM)theory for large-scale medical equipment,and explore its application effect in the management for large-scale medical equipment.Methods:By building TPM management team,predicting equipment's failures,planning TPM management pathway for equipment,and implementing quality control to construct TPM management system for the large-scale medical equipment.A total of 547 large-scale medical equipment that were used in clinical practice at the First Affiliated Hospital of Harbin Medical University from February 2022 to July 2024 were selected.They were divided into conventional management mode(272 equipment)and TPM management mode(275 equipment)by using random number table method.The TPM management mode conducted management on the basis of TPM management system for large-scale medical equipment.The equipment configuration,operational quality,effectiveness of equipment maintenance,and maintenance quality of the two kinds of management modes were compared.Using a self-made satisfaction questionnaire to evaluate the satisfaction of management personnel who used equipment for the service quality of maintenance management of two management modes for medical equipment.Results:The average configuration rate,utilization rate,and operation rate of equipment that using TPM management mode were(4.81±0.94)%,(97.98±0.67)%,and(89.15±4.78)%,respectively,all which were higher than those that using conventional management mode.However,the average failure rate was(1.72±0.12)%,which was lower than that of using conventional management mode.The differences of the above indicators were statistically significant(t=39.942,80.213,23.188,71.723,P<0.05).The average values of the efficiency of equipment maintenance,the standardization of usage,timeliness of maintenance,and pass rate of quality inspection of TPM management mode were all higher than those of conventional management mode,and the differences were statistically significant(t=36.893,22.913,17.948,21.553,P<0.05).The response time,average repair rate of failure,and delivery cycle of accessories of equipment maintenance of TPM management mode were all lower than those of conventional management mode,while the quality score of maintenance service was higher than that of conventional management mode,and the differences were statistically significant(t=37.332,25.116,53.265,55.988,P<0.05).The satisfactions of management personnel who used equipment for preventive maintenance,preventive repair,usage management,fault repair,quality inspection,and post maintenance of equipment that adopted TPM management mode were all higher than those that adopted conventional management mode,and the differences were statistically significant(t=24.218,21.408,19.706,27.141,38.149,46.434,P<0.05).Conclusion:The maintenance management system based on TPM theory for large-scale medical equipment can effectively improve operation efficiency and maintenance quality of equipment,and reduce equipment's failure rate,and enhance the timeliness of maintenance services for equipment,and increase the satisfaction of management personnel in using equipment.

Objective:To explore the relationship and underlying mechanisms between servant leadership and satisfaction of medical staff in tertiary hospitals, and to provide references for improving satisfaction of medical personnel.Methods:From January to June 2023, a questionnaire survey was conducted among on-duty medical staff at a tertiary hospital in Guangzhou using a simple random sampling method. Data corresponding to four key variables: servant leadership, hospital management level, affective commitment, and satisfaction of medical staff were collected. SPSS 25.0 software was used to perform independent samples t-tests and one-way analysis of variance (ANOVA) to examine group differences, and Pearson correlation analysis was conducted to explore the relationships among multiple variables. Amos 24.0 software was employed to construct a structural equation model to conduct confirmatory factor analysis of the four key variables, analyze potential mediating effects, and use multi-group analysis to examine differences in path parameters and structure among groups. Results:A total of 632 valid questionnaires were obtained. The satisfaction score of medical staff was (4.50±0.66)(maximum score was 5 points). Age, years of work experience, and job category had statistically significant effects on satisfaction of medical staff ( F = 5.799, 6.483, 7.671; P = 0.001). All four key variables were significantly positively correlated ( P<0.001). Servant leadership, hospital management level, and affective commitment all had direct positive effects on satisfaction of medical staff, with path coefficients of 0.207, 0.386, and 0.345, respectively ( P <0.05, critical ratio>1.96). Hospital management level and affective commitment each had independent partial mediating effects between servant leadership and satisfaction of medical staff (path coefficients of 0.353 and 0.067, respectively; P = 0.007, 0.018). They also jointly exerted a chain mediating effect (path coefficient of 0.243, P = 0.013). Differences in path effects among different job categories (clinical doctors, nurses, and administrative support staff) were statistically significant ( χ2 = 43.344, df = 24, P = 0.009). Conclusions:The servant leadership in tertiary hospitals can directly influence the satisfaction of medical staff, as well as indirectly influence it through emotional commitment and hospital management level. Moreover, the mechanisms of influence vary among medical staff of different professional categories. Tertiary hospitals should introduce and promote servant leadership styles, enhance the servant leadership behaviors of management personnel, and strengthen the synergistic effects of servant leadership, hospital management level, and affective commitment. Differential adjustment mechanisms should be implemented for different job categories.

OBJECTIVE To explore the diagnostic value of combined detection of microRNA(miRNA)and alpha-fetoprotein(AFP),protein induced by vitamin K absence or antagonist-Ⅱ(PIVKA-Ⅱ)in ascites and serum ex-tracellular vesicles(EVs)for hepatitis B virus(HBV)-related primary hepatocellular carcinoma(HCC).METHODS From Nov.2023 to Nov.2024,41 patients with liver cancer and 26 patients with liver cirrhosis who underwent ascites placement or ascites concentration and reinfusion procedures at the Fifth Medical Center of Chi-nese PLA General Hospital were selected as study subjects.Ascites and serum samples were collected.Real-time quantitative reverse transcription polymerase chain reaction(qRT-PCR)was used to detect the expression levels of miR-21,miR-125a,miR-150 and miR-200a in EVs.Chemiluminescence was used to measure the levels of AFP and PIVKA-Ⅱ in ascites,serum and EVs from ascites and serum.An artificial neural network was utilized to con-struct a combined diagnostic model of serum and ascites markers.RESULTS The area under the curve(AUC)for distinguishing HCC from liver cirrhosis using a combination of serum and other indicators was 0.933.The AUC for distinguishing HCC from liver cirrhosis using a combination of ascites and other indicators was 0.912.By screening all detected indicators using an artificial neural network and incorporating indicators with a relative im-portance＞0.5 into the diagnostic model,the model included four indicators:ascites AFP,ascites EVs miR-21,ascites EVs miR-200a and serum EVs miR-200a.This model had a sensitivity of 80.77％,a specificity of 87.80％and an AUC of 0.960 for distinguishing HCC from liver cirrhosis patients.CONCLUSION The combined diagnos-tic markers of miRNA,AFP and PIVKA-Ⅱ in ascites and serum-derived EVs have good application value in the diagnosis of HCC.

Objective:To develop an artificial intelligence (AI)-based platelet review strategy to identify abnormal platelet histograms with no significant difference between initial impedance platelet count (PLT-I) and PLT-F results.Methods:This study included 5 119 routine blood analysis in Nanfang Hospital of Southern Medical University and its Ganzhou branch from July 2023 and March 2024. Specimens exhibiting abnormal platelet histograms and an initial platelet count >40×10?/L underwent review using the fluorescent platelet count (PLT-F) channel. Consistency of the results was defined as a difference between impedance platelet count (PLT-I) and PLT-F less than ±20% of the PLT-F results. A deep learning model was developed using platelet and red blood cell histogram data from a training set of 3 807 specimens. The model′s diagnostic performance was evaluated on an independent external validation set ( n=805) using receiver operating characteristic (ROC) curve analysis. Changes in the number of reviewed samples and sample turnaround time were analyzed to assess its clinical utility. Results:The deep learning model based on platelet and red blood cell histograms achieved an area under the ROC curve (AUC) of 0.854 in the training set. At a cutoff value of 0.1, the sensitivity was 0.954 and specificity was 0.358. The model could reduce review by 16.80% (190/1 131). In the validation set, the AUC was 0.805, with a sensitivity of 0.955 and specificity of 0.307, corresponding to a reduction of 17.41% (47/270) in reviewed specimens.Conclusion:The platelet review prediction model developed based on deep learning technology can efficiently identify samples with consistent results before and after review, reducing unnecessary reviews and shortening specimen testing time, thereby improving the efficiency of platelet test.

Objective:To investigate the longitudinal stability of the Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), and the Activity of Daily Living Scale (ADL).Methods:The longitudinal cognitive assessment results of 68 dementia patients admitted to the Dementia and Leukoencephalopathy Outpatient Clinic, Department of Neurology, Peking Union Medical College Hospital, from January 2021 to January 2024, were retrospectively analyzed, including the total and sub-items scores of the MMSE, MoCA, and ADL. Two different rules were applied to analyze the abnormality rates: rule 1, where the current test result being better than the previous one was considered an abnormality; rule 2, where the current test result being better than the previous average score was considered an abnormality (If a patient had only 2 cognitive assessments, rule 2 was considered the same as rule 1). Two rules were used to analyze the abnormality rates of the scales. The statistical analyses were repeated after excluding patients with possible anxiety and depression status.Results:In assessing the total score stability, MMSE showed the lowest abnormality rates [27.2% (31/114) under rule 1 and 29.8% (34/114) under rule 2], while MoCA had the highest abnormality rates [41.3% (26/63) and 46.0% (29/63), respectively]. The ADL abnormality rates were 27.7% (23/83) and 33.7% (28/83), respectively. Among MoCA sub-items, category cue, multiple choice cue, second memory trial, orientation, and clock showed higher abnormality rates [31.7%(20/63), 30.2%(19/63), 23.8%(15/63), 22.2%(14/63), 22.2%(14/63), respectively]. After excluding population with possible anxiety and depression status, the relative abnormality rates of MMSE and ADL sub-items did not significantly change, while the abnormality rate of orientation in MoCA sub-items decreased relatively.Conclusion:The MMSE and ADL exhibit good stability in long-term monitoring of dementia patients, serving as essential tools for assessing and following up cognitive changes.

Objective To evaluate the effect of donor gender on short-term survival rate of lung transplant recipients. Methods A retrospective analysis was conducted on the data of 1 066 lung transplant recipients. The log-rank test was used to evaluate the differences in short-term fatality among different donor gender groups and donor-recipient gender combination groups. Multivariate Cox regression, propensity score (PS) regression, and propensity score matching (PSM) were employed to control for confounding factors and further assess the differences in fatality. Subgroup analyses were also performed based on donor gender. Results Multivariate Cox regression analysis showed no statistically significant differences in fatality at 30 days, 1 year, 2 years and 3 years postoperatively between male and female donor groups (all P>0.05). After PS regression and PSM, univariate Cox regression analysis indicated that recipients from female donors had a higher fatality at 2 years postoperatively compared to those from male donors, with hazard ratios (95% confidence intervals) of 1.29 (1.01-1.65) and 1.36 (1.03-1.80) respectively. Multivariate Cox regression analysis also revealed no statistically significant differences in fatality at various follow-up time points among different donor-recipient gender combination groups (all P>0.05). Subgroup analyses based on donor sex showed no statistically significant differences in fatality among recipients of different gender within either male or female donor groups (all P>0.05). Conclusions Female donors may reduce the short-term postoperative survival rate of lung transplant recipients, but this negative impact is not sustainable in the long term. At present, there is no evidence to support the inclusion of sex as a factor in lung allocation rules.

Objective: To summarize the clinical characteristics, diagnosis, treatment and outcomes of rectal injury (RI) occurring after radical prostatectomy (RP). Methods: The clinical data of 513 patients with prostatic cancer undergoing RP in our hospital during Mar.2013 and Oct.2022 were retrospectively collected and statistical description of the occurrence of RI among them was conducted.There were a total of 7 patients with RI during operation and 1 progressed to rectourethral fistula (RUF).We summarized the clinical and pathological data of these 7 patients.The treatment strategies of RI/RUF after RP in 11 different centers were explored and summarized in combination with literature review. Results: Among the 7 RI patients, 6 developed RI during operation and healed after repair, while 1 progressed to RUF after operation.For this patient, conservative treatment failed and colostomy was performed along with bilateral ureteral stent placement and cystostomy.The RUF was repaired via the transanal approach.During the treatment process, recurrent and refractory bladder irritation symptoms and bladder spasms occurred.Data of 3203 patients who underwent RP in 11 different centers were collected; 56(1.75%) cases developed RI, 41 of which were detected and repaired during operation; 14(0.44%) developed RUF, 7 of which had fistula closed spontaneously and 7 received surgical repair. Conclusion: RI, especially RUF, is one of the rarest and severest complications after RP.Once RI is detected during operation, immediate and thorough two-layer suture repair should be performed.