This article reports the diagnosis and treatment of one patient with fascioliasis of the common bile duct, aiming to provide reference for the clinical diagnosis and treatment of this disease. The patient sought medical attention due to long-term symptoms such as abdominal pain, abdominal distension, nausea, and vomiting. Imaging examinations displayed dilatation of the common bile duct and intrahepatic bile ducts, and the patient was admitted to the hospital with a diagnosis of “common bile duct stone”. Through endoscopic retrograde cholangiopancreatography and choledochoscopy, two worms were collected from the common bile duct, which were identified as Fasciola hepatica by high-throughput sequencing.

Objective To analyze the relationship between type 2 diabetes mellitus(T2DM)and cognitive disorder in middle-aged and elderly patients with Parkinson's disease(PD),and to identify risk factors for cognitive disorder in PD patients.Methods The clinical data of patients aged≥50 years and hospitalized for PD in Xijing Hospital of Air Force Medical University from Jan.2010 to Dec.2021 were collected,including demographic characteristics,general clinical features,laboratory indicators,etc.The cognitive status was evaluated by mini-mental state examination(MMSE).A total of 281 PD patients were assigned to T2DM group or non-T2DM group,and MMSE original score,standardized score,and cognitive status were compared between the 2 groups.The 281 patients were reassigned to normal cognition group or abnormal cognition group,then multivariate logistic regression was used to analyze the risk factors of cognitive disorder in middle-aged and elderly patients with PD.Results The MMSE original score and standardized score in the T2DM group were significantly lower than those in the non-T2DM group(23[18,25]vs 24[21,27],P=0.011;-1[-3,2]vs 1[-1,3],P=0.004),and the detection rate of cognitive disorder was significantly higher than that of the non-T2DM group(53.57%[45/84]vs 33.50%[66/197],P=0.002).Multivariate logistic regression analysis showed that T2DM(odds ratio[OR]=2.452,95%confidence interval[95%CI]1.397-4.306,P=0.002),place of residence(OR=2.208,95%CI 1.261-3.868,P=0.006),and age(OR=1.054,95%CI 1.006-1.104,P=0.028)were risk factors for cognitive disorder in middle-aged and elderly patients with PD,while serum uric acid(OR=0.274,95%CI 0.098-0.768,P=0.014)was protective factor for cognitive disorder in middle-aged and elderly patients with PD.Conclusion T2DM,rural area,advanced age,and hypouricemia are independent risk factors for cognitive disorder in middle-aged and elderly patients with PD.For middle-aged and elderly PD patients with T2DM,screening for cognitive disorder should be strengthened for early prevention and intervention.

Objective To investigate the factors influencing the efficacy of intravesical Bacille Calmette-Guérin(BCG)instillation after transurethral resection of bladder tumor(TURBT)in patients with intermediate-and high-risk non-muscle invasive bladder cancer(NMIBC),and to construct a prediction model for recurrence after BCG treatment.Methods A retrospective cohort study was conducted on the subjected patients diagnosed with intermediate-and high-risk NMIBC undergoing TURBT followed by standard BCG instillation.The 110 patients treated in Department of Urology of Army Medical Center of PLA from January 2018 to December 2023 were assigned into a training set,while the 52 patients treated at Department of Urology of General Hospital of Central Theater Command from January 2015 to December 2020 were into an external validation set.A total of 17 variables were included and analyzed.Univariate and multivariate Cox regression analyses were performed to identify factors associated with recurrence after BCG instillation,and nomograms were plotted to predict 1-year,3-year,and 5-year recurrence-free survival(RFS).Calibration curve,decision curve analysis(DCA),and receiver operating characteristic(ROC)curve analysis were conducted for internal and external validation to evaluate the predictive performance and clinical utility of the model.Results In the training set,26 patients(23.64%)experienced recurrence during the follow-up period,with a median RFS of 32.00(18.00～50.50)months.Univariate Cox regression analysis suggested that platelet count,eosinophil to lymphocyte ratio(ELR),neutrophil to lymphocyte ratio(NLR),platelet to lymphocyte ratio(PLR),systemic immune inflammation(SII)index,and neutrophil-monocyte to lymphocyte ratio(NMLR),pathological T1 stage(pT1)tumor and hemoglobin,albumin,lymphocyte,and platelet(HALP)score were potential factors influencing recurrence after BCG instillation.Multivariate Cox regression analysis identified high HALP score(HR=0.185,95%CI:0.046～0.736,P=0.017)as an independent protective factor,while high ELR(HR=3.599,95%CI:1.505～8.608,P=0.004)and pT1 stage(HR=3.240,95%CI:1.191～8.818,P=0.021)were independent risk factors for recurrence.Based on this,a nomogram prediction model was constructed.The calibration curves demonstrated good agreement between predicted and actual 1-,3-,and 5-year recurrence risks.Decision curve analysis indicated clinical utility across a wide threshold probability range.In the training set,the model showed strong predictive performance for 1-(AUC=0.842),3-(AUC=0.847),and 5-year(AUC=0.887)recurrence risks,which was further validated in the external cohort.Conclusion Higher HALP score prior to BCG instillation therapy is a protective factor against tumor recurrence,while higher ELR and pT1 stage are risk factors.Our nomogram prediction model based on HALP score,ELR and pathological T stage,can identify individuals at high risk of recurrence after BCG instillation therapy.

Objective To investigate risk factors for residual lesions after initial transurethral resection of bladder tumors(TURBT)and risk factors for tumor recurrence after second TURBT in patients with non-muscle-invasive bladder cancer(NMIBC)in order to provide reference for clinical management.Methods A case-control study design was adopted to include 120 NMIBC patients who underwent initial TURBT and then second surgery within 2～8 weeks in our department from January 2017 to January 2025.Based on the presence of residual lesions after the initial TURBT or not,the patients were divided into a residual lesion group(n=34)and a non-residual lesion group(n=86).Chi-square test and multivariate logistic regression analysis were performed to identify potential risk factors for residual lesions following the initial TURBT.Univariate and multivariate Cox regression models were used to analyze potential risk factors for tumor recurrence after the second TURBT.Results The residual lesion rate after initial TURBT was 28.33％.Chi-square test analysis revealed that tumor stage T1(Chi-square=5.756,P=0.016)and broad tumor base(Chi-square=4.331,P=0.037)were factors influencing residual lesions after initial TURBT.Multivariate logistic regression analysis identified tumor stage T1(OR=3.047,95％CI:1.128～8.226,P=0.028)as an independent risk factor for residual lesions after initial TURBT.The tumor recurrence rate after second TURBT was 17.5％.Multivariate Cox regression analysis identified tumor stage T1(OR=4.258,95％CI:1.248～14.532,P=0.021),intravesical chemotherapy instillation after second TURBT(OR=3.539,95％CI:1.284～9.752,P=0.015),history of urinary system tumors(OR=3.002,95％CI:1.145～7.873,P=0.025)and high platelet-to-lymphocyte(PLR)ratio(OR=2.798,95％CI:1.115～7.023,P=0.028)as independent risk factors for tumor recurrence after second TURBT.Conclusion Tumor stage T1 and broad tumor base are risk factors for residual lesions after initial TURBT,while tumor stage T1,intravesical chemotherapy instillation after second TURBT,history of urinary system tumors and high PLR ratio are risk factors for tumor recurrence after second TURBT.Comprehensive analysis on above 4 indicators can effectively assess the risk of tumor recurrence in NMIBC patients following second TURBT,and timely early medical intervention is beneficial for improving patient outcomes.

The biological storage equipment for liquid nitrogen has gone through three main development stages:biological container for liquid nitrogen,large-diameter container for liquid nitrogen,and tank for gas-phase liquid nitrogen,becoming a cross-product with multidisciplinary integrating cryobiology,vacuum and cryogenics technique,intelligent control technique and mechanical manufacturing.With the development of biological storage equipment for liquid nitrogen,a great deal of application achievements have been obtained in cryogenic insulation technology,vacuum technology,structure design,manufacturing process and experimental research in China.In view of the demand of the construction for large-scale biological sample bank in China,some key technologies and solutions in the development of the tank for gas-phase liquid nitrogen towards integration,intelligence and green were reviewed in this paper.At the same time,in order to make the tank for gas-phase liquid nitrogen,a new product,to suit for the development of industrial intelligence in China,we proposed suggestion to incorporate this kind of product into the standardized management as soon as possible.

Objective:To construct a risk prediction model based on explainable intelligence(XAI)analysis algorithms for orthopedic consumables in surgery room,and improve the management quality of controlling risk for orthopedic consumables in surgery room.Methods:A risk index system for orthopedic consumables in the surgery room was established through researching literature and using Delphi method.The data of supply and use of consumables were collected to construct a risk prediction model.Risk control paths were formulated from three aspects included formulating preoperative plan,intraoperative dynamic allocation,and postoperative tracking and feedback.A total of 6,572 sets of orthopedic consumables that were used in the surgery room of the 960th Hospital of People's Liberation Army Joint Service Support Force from January 2021 to December 2024 were selected.The 3,185 sets of orthopedic consumables that were used during January 2021 and December 2022 were managed by using conventional method of controlling and managing risk.The 3,387 sets of orthopedic consumables that were used during January 2023 and December 2024 were managed by using intelligent method of controlling and managing risk.The early warning capabilities for risk,and the control quality for risk between the two management methods were compared.A self-made satisfaction survey questionnaire was adopted to investigate the satisfaction scores of medical staffs and managers for consumables in the surgery room for the two management methods.Results:The average accuracy rates of using the intelligent method of controlling and managing risk in predicting formulating preoperative plan,intraoperatively dynamic allocation,and postoperative tracking and feedback for early warning events of risk in 157,247 and 57 consumables were respectively 49.68%(78/157),42.11%(104/247)and 56.14%(32/57),all of which were higher than those of conventional method of controlling and managing risk,and the difference were statistically significant(x2=9.475,23.637,13.035,P<0.05).The average reduction rate of risk events of consumables,the average intervention rate of abnormal use of consumables,and the mean value of enhance degree of turnover efficiency of consumables were respectively(6.25±1.59)%,(87.93±4.44)%and(4.78±1.69)%,all of which were higher than those of conventional method of controlling and managing risk,and the differences were statistically significant(t=4.952,6.257,4.660,P<0.05).The scores of medical staffs and managers in surgery room for acceptance of early warning for risk,support of management decision,satisfaction of using consumables,and assessment results of training by adopting intelligent method of controlling and managing risk were all higher than those by adopting conventional method of controlling and managing risk,and the differences were statistically significant(t=3.368,3.082,3.701,4.558,P<0.05).Conclusion:The application of prediction model based on XAI analysis algorithm for risk of orthopedic consumables in the surgery room can improve the accuracy of early warning for risk of orthopedic consumables in the surgery room,and reduce the incidence of risk events,and enhance the ability of emergent response for risk,and improve the quality of clinical services.

Objective:To develop a deep learning-based segmentation model MT-UNet to automatically segment bone metastases and benign bone lesions in bone scintigraphy with SPECT/CT.Methods:A total of 93 patients (48 males and 45 females, age 28-84 years) who underwent bone SPECT/CT in the Department of Nuclear Medicine, General Hospital of Northern Theater Command from June 2023 to December 2023 were enrolled retrospectively in this study, with a total of 184 bone lesions (94 benign lesions and 90 metastatic tumors). The MT-UNet was employed to segment bone lesions in SPECT, CT and SPECT/CT images respectively. Comparative analysis with 8 segmentation models was performed. The training set and validation set were divided by using 5-fold cross-validation and transfer learning was introduced to further enhance the robustness of the model. An additional cohort of 22 patients (15 males and 7 females, age 37-87 years) who received bone SPECT/CT in the Department of Nuclear Medicine, General Hospital of Northern Theater Command from April 2023 to May 2023 were included, comprising 40 bone lesions (22 benign lesions and 18 metastatic tumors) as the test set of MT-UNet. Segmentation performance of different models was assessed using accuracy, sensitivity, specificity, AUC, intersection over union and Dice similarity coefficient (DSC). Delong test was used to compare the segmentation efficacy among different models in the test set.Results:In the validation set, MT-UNet demonstrated DSC of 0.940, 0.962, and 0.963 for SPECT, CT, and SPECT/CT bone lesion segmentation, respectively, which were outperformed other models. Following transfer learning implementation, the SPECT/CT model′s DSC was improved to 0.984. In the test set, MT-UNet maintained comparable segmentation performance to the validation set, with significant AUC differences among the three models ( Z values: from -15.42 to -9.27, all P<0.01). Compared with conventional image interpretation, MT-UNet-based segmentation reduced physician interpretation time from 164min to 102min. Conclusion:MT-UNet has shown good performance in automatic segmentation of bone metastases and benign bone lesions, and is expected to become an important part of SPECT/CT image intelligent diagnosis system for bone metastases.

Objective:To identify factors influencing treatment-free remission (TFR) outcomes in children and adolescent patients with chronic myeloid leukemia (CML) after imatinib (IM) discontinuation.Methods:This multicenter retrospective study analyzed 36 children and adolescent patients with CML from eight hematology centers in China (December 1, 2016, to September 27, 2024) who discontinued IM therapy with documented post-cessation outcomes. Clinical characteristics and molecular response dynamics were assessed. Univariate analysis and multivariate Cox proportional hazards regression models were employed to assess factors associated with TFR outcomes.Results:A total of 36 patients were documented, comprising 17 males and 19 females. The median ages at CML diagnosis and IM discontinuation were 11 years ( IQR: 5,16) and 20 years ( IQR: 14,25), respectively. The median time from IM initiation to first deep molecular response (DMR) was 21 months ( IQR: 13, 38). Pre-discontinuation, patients received IM for a median duration of 96 months ( IQR: 84, 121) and maintained DMR for 74 months ( IQR: 63, 89). With a median post-discontinuation follow-up of 38 months ( IQR: 15, 68), cumulative TFR rates at 6, 12, 24, and 36 months were 74.1%, 60.7%, 60.7%, and 56.0%, respectively, generating an overall TFR rate of 58.3%. Fifteen patients lost major molecular response at a median of 5 months post-discontinuation ( IQR: 3, 11). All 15 patients resumed tyrosine kinase inhibitor therapy, comprising 13 who restarted IM and 2 who switched to dasatinib. By the last follow-up, 13 (86.7% ) patients regained DMR after a median treatment duration of 5 months ( IQR: 3, 17), and no disease progression occurred in any patient. Withdrawal syndrome occurred in 2 (5.6% ) patients. Univariate analysis revealed significantly higher TFR rates in patients with pre-discontinuation IM duration of ≥100 months vs <100 months (82.4% vs 36.8%, P=0.017) and pre-discontinuation DMR duration of ≥72 months vs <72 months (84.2% vs 29.4%, P=0.003). Multivariate Cox analysis identified pre-discontinuation DMR duration as an independent protective factor for TFR ( HR=5.419, 95% CI: 1.524–19.272, P=0.009) . Conclusion:DMR duration was identified as an independent protective factor influencing TFR outcomes in children and adolescent patients with CML after IM discontinuation. Patients who maintained DMR for ≥72 months before IM discontinuation demonstrated a significantly higher TFR rate.

Hemodynamic monitoring in shock is one of the core challenges in sepsis management.This article systematically explores how to optimize hemodynamic management in septic shock from three perspectives:assessment of fluid responsiveness and tolerance,monitoring of arterial and venous blood pressure,and macro- and microcirculatory monitoring.Firstly,fluid responsiveness assessment is the foundation of fluid therapy,but it must be combined with fluid tolerance to avoid fluid overload.Secondly,the refined evaluation of arterial and venous pressure changes,from macrocirculation to microcirculation,provides a more comprehensive perspective for hemodynamic management.Thirdly,the transition from cardiac output to microcirculatory flow is critical for optimizing oxygen delivery,requiring dynamic adjustment of treatment through both invasive and non-invasive techniques,while also considering the relationship between cardiac output and oxygen delivery and their impact on tissue oxygenation.By integrating these monitoring approaches,individualized and precise treatment for septic shock patients can be achieved,thereby improving outcomes.

Objective:To explore the effect and mechanism of Andrias davidianus skin mucopolysaccharides (ASMP) on full-thickness skin defect wound healing in diabetic mice. Methods:This study was an experimental study. The ASMP with polysaccharide content of (70.0±0.3)% was prepared; the proliferation activity of human umbilical vein endothelial cells (HUVECs) was detected by cell counting kit-8, showing that the optimal concentration of ASMP was 0.05 mg/mL. The HUVECs were taken and divided into blank control group, vascular endothelial growth factor (VEGF) group, and ASMP group according to the random number table method (the same grouping method below), which were cultured with conventional medium and the media containing 50 ng/mL VEGF and 0.05 mg/mL ASMP, respectively, and then cultured under hypoxic (with volume fraction of oxygen being 5%) and normal-oxygen conditions for 12 hours, and the length of tube formation was observed. Human monocytic leukemia cells were induced with phorbol ester to differentiate into M0 macrophages. These cells were then divided into blank control group, lipopolysaccharide (LPS) group, and ASMP group, which were cultured respectively using conventional medium, LPS-containing medium followed by conventional medium, and LPS-containing medium followed by 0.05 mg/mL ASMP-containing medium. After 48 hours of culture, the expressions of CD86 and CD206 proteins (expressed as relative fluorescence intensity, the same below) were measured by immunofluorescence, and the mRNA expression levels of arginase-1 (Arg1) and CD206 were detected by real-time fluorescence quantitative reverse transcription polymerase chain reaction. Eighteen male C57 mice aged 8-10 weeks were used, and diabetic model was successfully established using streptozotocin combined with a high-fat and high-sugar diet. Full-thickness skin defect wounds were created on the backs of the mice, and the mice were divided into blank control group, alginate dressing group, and ASMP group (with 6 mice in each group), which were treated with physiological saline, alginate dressing, and ASMP, respectively. Wound healing was observed on post injury day (PID) 3, 7, 10, and 14, and the wound healing rates of mice were calculated. On PID 7, the expressions of CD31 and CD206 proteins in the wound tissue of mice were observed by immunofluorescence. On PID 14, the thickness of granulation tissue in wounds of mice was observed by hematoxylin-eosin staining. The sample size for all experiments was 3.Results:After 12 hours of culture in normal-oxygen condition, compared with that in blank control group, the tube formation length of HUVECs in VEGF and ASMP groups was significantly increased (with q values of 10.08 and 16.91, respectively, P<0.05). After 12 hours of culture in hypoxic condition, compared with that in blank control group, the tube formation length of HUVECs in VEGF and ASMP groups was significantly increased (with q values of 11.61 and 16.91, respectively, P<0.05); compared with that in VEGF group, the tube formation length of HUVECs in ASMP group was significantly increased ( q=5.30, P<0.05). After 48 hours of culture, the relative fluorescence intensity of CD206 protein in M0 macrophages in ASMP group was 31.90±1.76, significantly higher than 1.00±0.25 in blank control group and 2.21±0.42 in LPS group (with q values of 50.75 and 48.75, respectively, both P values <0.05); the relative fluorescence intensity of CD86 protein was 5.82±0.63, significantly lower than 53.73±4.61 in LPS group ( q=30.90, P<0.05). After 48 hours of culture, the mRNA expressions of Arg1 and CD206 in M0 macrophages in ASMP group were significantly higher than those in blank control group (with q values of 35.02 and 13.09, respectively, P<0.05) and LPS group (with q values of 32.24 and 11.24, respectively, P<0.05). On PID 3, there was no statistically significant difference in intercomparison in the wound healing rate of mice among the blank control, alginate dressing, and ASMP groups ( P>0.05). Compared with those in blank control group, the wound healing rates of mice in alginate dressing group on PID 10 and 14 were significantly increased (with q values of 11.76 and 12.50, respectively, P<0.05), and the wound healing rates of mice in ASMP group on PID 7, 10, and 14 were significantly increased (with q values of 5.84, 15.90, and 14.96, respectively, P<0.05); compared with those in alginate dressing group, the wound healing rates of mice in ASMP group on PID 7 and 10 were significantly increased (with q values of 4.77 and 4.14, respectively, P<0.05). On PID 7, the relative fluorescence intensity of CD31 protein in wound tissue of mice in alginate dressing and ASMP groups was significantly stronger than that in blank control group (with q values of 7.63 and 16.85, respectively, P<0.05); the relative fluorescence intensity of CD31 protein in wound tissue of mice in ASMP group was significantly stronger than that in alginate dressing group ( q=9.22, P<0.05). On PID 7, the relative fluorescence intensity of CD206 protein in wound tissue of mice in alginate dressing and ASMP groups was significantly stronger than that in blank control group (with q values of 8.76 and 29.36, respectively, P<0.05), and the relative fluorescence intensity of CD206 protein in wound tissue of mice in ASMP group was significantly stronger than that in alginate dressing group ( q=20.61, P<0.05). On PID 14, the wound granulation tissue of mice in ASMP group was thicker compared with that in blank control group and alginate dressing group. Conclusions:ASMP can significantly enhance the ability of new blood vessel formation and optimize the immune microenvironment by promoting HUVEC tube formation as well as inducing macrophages to polarize toward the M2 type, thereby accelerating full-thickness skin defect wound healing in diabetic mice.