BACKGROUND:The formation of postoperative abdominal adhesions is a complicated process,and the prevention of postoperative adhesions is an urgent problem in clinic. OBJECTIVE:To analyze the mechanism of adhesion at cellular and molecular levels,and to provide theoretical basis for the prevention and treatment of adhesion by mesenchymal stem cell exosomes. METHODS:"Abdominal adhesion,pelvic adhesion,postoperative adhesion,epithelial mesenchymal transformation,mesenchymal stem cells,stem cell exosomes,mesenchymal stem cell exosomes"were selected as Chinese and English search terms.We searched PubMed,CNKI,and Chinese biomedical literature and screened relevant articles on postoperative abdominal adhesion and mesenchymal stem cell exosomal intervention published from inception to August 2023.After systematic analysis,54 articles were finally included for the review. RESULTS AND CONCLUSION:(1)Any pathological factors such as peritoneal inflammation,mechanical injury,tissue ischemia,and foreign body implantation cause peritoneal surface injury,resulting in postoperative abdominal adhesion.The formation process of adhesion includes the interaction of peritoneal mesothelial cell repair,inflammatory response,fibrinolytic system,coagulation pathway and other processes,involving a variety of cytokines and signaling pathways.Wnt/β-catenin pathway can induce fibrosis and angiogenesis,and cooperate with transforming growth factor-β/Smads signaling pathway to stimulate fibroblast proliferation and cause peritoneal fibrosis.Meanwhile,nuclear factor-κB signaling pathway up-regulates the expression of cellular inflammatory factors,promotes fibroblast proliferation,and plays a key role in the process of tissue fibrosis.(2)The paracrine function of stem cells is an important direction of molecular intervention in abdominal adhesions based on regenerative medicine.It can participate in a variety of complex cytokines and signaling pathways involved in abdominal adhesions.(3)Compared with traditional methods for treating abdominal adhesions,mesenchymal stem cell exosome has biological activity and is safe to use.Mesenchymal stem cell exosomes without special culture and expansion have lower immunogenicity,longer stability and other advantages,can guide a normal repair and healing through a variety of ways.(4)Mesenchymal stem cell exosome has been proven to be involved in regulating the above processes of adhesion formation in previous studies,showing potential application prospects in clinical studies.However,further clinical studies are needed to explore appropriate treatment options for mesenchymal stem cell exosomes to address the problem of clinical translation.

In order to address issues such as the decline in diagnostic performance of deep learning models due to imbalanced data distribution in psoriasis vulgaris,a VGG13-based deep convolutional neural network model is proposed by integrating the processing capability of the improved fuzzy KMeans clustering algorithm for highly clustered complex data and the predictive capability of VGG13 deep convolutional neural network model.The model is applied to the diagnosis of psoriasis vulgaris,and the experimental results indicate that compared with VGG13 and resNet18,the proposed approach based on deep learning and improved fuzzy KMeans is more suitable for identifying psoriasis features.

Objective To compare the interaction efficiency of three human-machine interaction modes with hand-touch control,eye movement control and voice control,based on a multi-channel human-machine interaction system in flight mission scenarios.Methods 20 pilots took part in the study and completed the first level(relatively simple)and second level(relatively complex)interactive experimental tasks in three human-computer interaction modes based on specific flight mission scenarios.The interaction efficiency indicators included the system's interaction time,response time,fusion calculation time,and number of errors.After the experiment was completed,the pilots conducted a subjective evaluation,which included the suitability of the interaction mode to the task,consistency with expected usage,fault-tolerance,effective feedback,and the tendency of the interaction mode to be applied in future flight fields.Results There were generally significant differences in interaction efficiency between hand-touch control,voice control,and eye movement control in flight mission scenarios,but the differences differed in first-level and second-level interaction tasks.Based on the comprehensive interaction experimental tasks at all levels,the experimental results obtained included:(1)the interaction time of hand-touch control was the shortest,the interaction time of voice control was the longest,and the main effect of the interaction mode was significant(F=18.214,P<0.001,η2=0.565);(2)The response time of hand-touch control was the shortest,while the response time of eye movement control was the longest.The main effect of interaction mode was significant(F=153.085,P<0.001,η2=0.944);(3)The fusion calculation time for hand-touch control was the shortest,while the fusion calculation time for voice control was the longest.The main effect of the interaction mode was significant(F=41.702,P<0.001,η2=0.777);(4)The errors in voice control were the least,while those in eye movement control were the most.The main effect of interaction mode was significant(χ2=22.845,P<0.001,φ=1.097);(5)The subjective evaluation scores of pilots on voice control were higher than those on eye movement control,and all had statistical significance(P<0.001,P<0.01).Conclusions This study focuses on flight interaction tasks and compares the interaction efficiency of three interaction modes of hand-touch control,voice control,and eye movement control,through a combination of experiments and subjective evaluations.The differences in various interaction efficiency indicators among different interaction modes are found,and the interaction modes have a significant impact on interaction efficiency.Hand-touch control has a significant advantage in interaction time efficiency,voice control has an advantage in accuracy for simple tasks,while eye movement control has relatively weak time efficiency and accuracy;Compared to eye movement control,pilots exhibit higher evaluations and tendencies towards voice control.The research results can provide reference for the future design,evaluation,and application of multi-modal interaction systems.

Objective To investigate the predictive value of preoperative fibrinogen/albumin ratio (FAR) and systemic immune inflammation index (SII) on the postoperative prognosis of patients with pancreatic ductal adenocarcinoma. Methods An ROC curve was used in determining the best cutoff values of FAR and SII and then grouped. The Cox proportional hazards model was used in analyzing the prognostic factors of radical pancreatic cancer surgery, and then a Nomogram prognostic model was established. C-index, AUC, and calibration curve were used in evaluating the discrimination and calibration ability of the Nomogram. DCA curves were used in assessing the clinical validity of the Nomograms. Results The optimal cutoff values for preoperative FAR and SII were 0.095 and 532.945, respectively. FAR≥ 0.095, SII≥ 532.945, CA199≥ 450.9 U/ml, maximum tumor diameter≥ 4 cm, and the absence of postoperative chemotherapy were independent risk factors for the poor prognosis of pancreatic cancer (P<0.05). The discrimination ability, calibration ability, and clinical effectiveness of Nomogram prognostic model were better than those of the TNM staging system. Conclusion The constructed Nomogram prognostic model has higher accuracy and level of discrimination and more clinical benefits than the TNM staging prognostic model.

Objective:To investigate the consistency between the iodine-unstained area and the pathological size of endoscopic submucosal dissection (ESD) specimens of superficial esophageal cancer.Methods:A retrospective study was performed on data of 32 patients with superficial esophageal cancer who accepted ESD from May 2019 to April 2020 in the First Affiliated Hospital, Zhejiang University School of Medicine. The maximum transverse diameter and maximum longitudinal diameter of the iodine-unstained area were compared with the tumor pathological area. A size difference no more than 0.5 cm was considered as conformity, any difference between 0.5 and 1.0 cm was considered as non-conformity, and any difference no less than 1.0 cm was considered as serious non-conformity. At the same time, pink sign after spraying Lugo solution and the consistency of pink sign area with the iodine free area were observed.Results:A total of 32 patients with 33 lesions were enrolled in this study, including 23 males and 9 females and the age of the patients was 59.5±7.3 years. There were 19 (57.6%) lesions whose size of iodine-unstained area was consistent with the tumor pathological area. These 19 lesions were all positive for the pink sign, and the pink sign area overlapped with the iodine-unstained area. In addition, 4 (12.1%) iodine-unstained areas of the lesions did not match the size of the pathological area, and 10 (30.3%) iodine-unstained areas of the lesions were seriously inconsistent with the size of the pathological area. These 14 (42.4%) lesions were all positive for pink sign, and the pink sign area was significantly smaller than the iodine-unstained area. Among the 14 discordant lesions, 2 lesions underwent ESD according to the iodine-unstained area, which resulted in excessive resection and postoperative stenosis.Conclusion:Determining the extent of superficial esophageal cancer by iodine-unstained areas before ESD may lead to excessive resection of the lesions, which is related to the fact that the iodine-unstained areas of the lesions are sometimes significantly larger than the pink sign areas. Therefore, in order to achieve precise treatment, endoscopists can choose the iodine-unstained area with positive pink sign as the first choice for resection.

This study aimed to explore key quality control factors that affected the prognosis of intensive care unit (ICU) patients in Chinese mainland over six years (2015-2020). The data for this study were from 31 provincial and municipal hospitals (3425 hospital ICUs) and included 2 110 685 ICU patients, for a total of 27 607 376 ICU hospitalization days. We found that 15 initially established quality control indicators were good predictors of patient prognosis, including percentage of ICU patients out of all inpatients (%), percentage of ICU bed occupancy of total inpatient bed occupancy (%), percentage of all ICU inpatients with an APACHE II score ⩾15 (%), three-hour (surviving sepsis campaign) SSC bundle compliance (%), six-hour SSC bundle compliance (%), rate of microbe detection before antibiotics (%), percentage of drug deep venous thrombosis (DVT) prophylaxis (%), percentage of unplanned endotracheal extubations (%), percentage of patients reintubated within 48 hours (%), unplanned transfers to the ICU (%), 48-h ICU readmission rate (%), ventilator associated pneumonia (VAP) (per 1000 ventilator days), catheter related blood stream infection (CRBSI) (per 1000 catheter days), catheter-associated urinary tract infections (CAUTI) (per 1000 catheter days), in-hospital mortality (%). When exploratory factor analysis was applied, the 15 indicators were divided into 6 core elements that varied in weight regarding quality evaluation: nosocomial infection management (21.35%), compliance with the Surviving Sepsis Campaign guidelines (17.97%), ICU resources (17.46%), airway management (15.53%), prevention of deep-vein thrombosis (14.07%), and severity of patient condition (13.61%). Based on the different weights of the core elements associated with the 15 indicators, we developed an integrated quality scoring system defined as F score=21.35%xnosocomial infection management + 17.97%xcompliance with SSC guidelines + 17.46%×ICU resources + 15.53%×airway management + 14.07%×DVT prevention + 13.61%×severity of patient condition. This evidence-based quality scoring system will help in assessing the key elements of quality management and establish a foundation for further optimization of the quality control indicator system.
Humans ; China/epidemiology* ; Cross Infection/epidemiology* ; Intensive Care Units/statistics & numerical data* ; Quality Control ; Quality Indicators, Health Care/statistics & numerical data* ; Sepsis/therapy* ; East Asian People/statistics & numerical data*

Objective:To investigate the predictive value of preoperative lymphocyte-to-monocyte ratio (LMR) combined with platelet-to-lymphocyte ratio (PLR) (LMR-PLR) scoring model for prognosis of pancreatic ductal adenocarcinoma (PDAC) after radical resection.Methods:The retrospective cohort study was conducted. The clinicopathological data of 116 patients with PDAC who were admitted to the Second Hospital of Lanzhou University from January 2015 to December 2019 were collected. There were 73 males and 43 females, aged 61.5(range, 29.0-75.0)years. All patients underwent radical resection for PDAC. Observation indicators: (1) optimal cut-off value of LMR and PLR; (2) clinicopathological features of patients with different scores of preoperative LMR-PLR scoring model; (3) follow-up and survival; (4) influencing factors for prognosis of PDAC patients; (5) construction and verification of nomogram prediction model. Measurement data with skewed distribution were represented as M(range). Count data were described as absolute numbers, and comparison between groups was conducted using the chi-square test. Comparison of ordinal data was conducted using the Mann-Whitney U test. The Graphpad prism 8 was used to draw survival curve, the Kaplan-Meier method was used to calculate survival rate, and the Log-Rank test was used for survival analysis. The COX proportional hazard regression model was used for univariate and multivariate analyses. The X-tile software was used to determine the optimal cut-off values of LMR and PLR. The nomogram prediction model was conducted based on the results of multivariate analysis, and the receiver operating characteristic (ROC) curve was drawn. The area under curve (AUC) was used to evaluate the discrimination of nomogram prediction model. The calibration curve was used to evaluate the consistency of nomogram prediction model and the decision curve was used to evaluate the clinical benefits. Results:(1) Optimal cut-off value of LMR and PLR. The optimal cut-off values of LMR and PLR were 1.9 and 156.3. (2) Clinicopathological features of patients with different scores of preoperative LMR-PLR scoring model. Cases with LMR-PLR scoring as 0, 1, 2 were 11, 42, 63. Cases with CA125 <12.4 U/mL, cases postoperative with vascular invasion, cases with postoperative chemotherapy in patients with 0, 1, 2 of LMR-PLR scoring were 1, 8, 24, 9, 27, 27, 3, 26, 43, showing significant differences among them ( χ2=6.73, 8.37, 6.68, P<0.05). (3) Follow-up and survival. All 116 patients were followed up for 39(range, 2-86)months. The 1-, 2-, 3-year survival rate of 116 PDAC patients was 50.9%, 37.9%, 19.3%, respectively, with a survival time of 13(range, 1-85)months. The survival time of patients with LMR-PLR scoring as 0, 1, 2 was 3(range, 1-9)months, 7(range, 2-56)months, 26(range, 2-85)months, respectively, showing a significant difference among them ( χ2=48.78, P<0.05). (4) Influencing factors for prognosis of PDAC patients. Results of multivariate analysis showed that carcinoembryonic antigen (CEA), CA19-9, LMR-PLR score, tumor diameter were independent factors affecting prognosis of patients ( hazard ratio=1.61, 1.88, 0.27, 1.87, 95% confidence interval as 1.02-2.54, 1.18-3.00, 0.19-0.39, 1.13-3.09, P<0.05). (5) Construction and verification of nomogram prediction model. The nomogram prediction model was constructed based on CEA, CA19-9, LMR-PLR score and tumor diameter. The AUC of ROC curve in predicting 1-, 2-, 3-year survival rate of patients was 0.86 (95% confidence interval as 0.79-0.93, P<0.05), 0.86 (95% confidence interval as 0.79-0.92, P<0.05), 0.87 (95% confidence interval as 0.78-0.95, P<0.05), respectively. Results of calibration curve showed that the predicted survival rate of nomogram prediction model was consistent with the actual survival rate, with the consistency index as 0.74. Results of decision curve showed that the predictive performance of nomogram prediction model was superior to that of a single factor at a risk threshold of 0.12-0.85. Conclusions:CEA, CA19-9, LMR-PLR score, tumor diameter are independent factors affecting prognosis of patients undergoing radical resection for PDAC, and the nomogram prediction model can predict postoperative survival rate. The predicted survival rate of nomogram prediction model is consistent with the actual survival rate, and the predictive performance of nomogram prediction model is superior to that of a single factor at a risk threshold of 0.12-0.85.

Diacylglycerol (DAG) is an intermediate product in lipid metabolism and plays an important physiological role in human body. It is mainly prepared by hydrolyzing lipid with lipase. However, research on the detection method of 1, 2-diacylglycerol (1, 2-DAG) and 1, 3-diacylglycerol (1, 3-DAG) and catalytic specificity of lipase was not enough, which limits its wide application. To address these challenges, an efficient quantitative detection method was first established for 1, 2-DAG (0.025-0.200 g/L) and 1, 3-DAG (0.025-0.150 g/L) by combining supercritical fluid chromatography with evaporative light scattering detector and optimizing the detection and analysis parameters. Based on the molecular docking between Thermomyces lanuginosus lipase (TLL) and triolein, five potential substrate binding sites were selected for site-specific saturation mutation to construct a mutation library for enzyme activity and position specificity screening. The specificity of sn-1, 3 of the I202V mutant was the highest in the library, which was 11.7% higher than the specificity of the wild type TLL. In summary, the position specificity of TLL was modified based on a semi-rational design, and an efficient separation and detection method of DAG isomers was also established, which provided a reference for the study of the catalytic specificity of lipase.
Humans ; Diglycerides ; Molecular Docking Simulation ; Binding Sites ; Catalysis ; Lipase/genetics*

OBJECTIVE To evaluate the cost-effectiveness of denosumab and teriparatide in the treatment of postmenopausal osteoporosis in Chinese women， and provide reference for relevant decision-making. METHODS From the perspective of health system in China， Excel 2003 was used to establish Markov model， and cost-utility analysis was used to evaluate the cost- effectiveness of denosumab or teriparatide combined with Calcium carbonate D3 tablets in the treatment of postmenopausal osteoporosis in Chinese women. Pharmacotherapy effects were obtained with network meta-analysis， and cost and health utility value data were obtained from published literature. The model cycle was 1 year， and the simulation time limit was the patient’s lifetime. Univariate sensitivity analysis and probabilistic sensitivity analysis were used to evaluate the effects of model parameter changes on the robustness of the results. Through scenario analysis， the cost-effectiveness of domestic drug cost used as drug cost of terlipatide group was discussed； the influence of residual effects of teriparatide on the results and the cost-effectiveness of sequential use of desumamab after terlipatide withdrawal were also discussed. RESULTS The effect of denosumab regimen was better than that of terlipatide regimen [13.24 quality-adjusted life years （QALYs） vs. 12.96 QALYs]， with lower cost （51 224.64 yuan vs. 167 102.67 yuan）， denosumab regimen was the absolutely superior regimen. The results of single factor sensitivity analysis showed that the cost and discount rate of Terlipatide injection had greater impact on the results. The results of probability sensitivity analysis showed that when three times of China’s per capita gross domestic product （GDP） in 2021 was used as the threshold of willingness to pay， the probability of cost-effectiveness of denosumab regimen was 93.5%. The results of scenario analysis showed that， whether the drug cost of terlipatide regimen which was replaced by domestic drugs， or the residual effect of terlipatide was considered， or desulmonab was used sequentially after two years of terlipide treatment， denosumab regimen was always the absolute advantage regimen. CONCLUSIONS Denosumab combined with Calcium carbonate D3 tablets is more cost-effective than teriparatide combined with Calcium carbonate D3 tablets in the treatment of postmenopausal osteoporosis in Chinese women.

Objective:To investigate whether stress hyperglycemia (SH) is an independent risk factor for the occurrence and mortality of sepsis-associated encephalopathy (SAE).Methods:From August 2016 to October 2021, sepsis patients admitted to the ICU of Guangdong Provincial People's Hospital were selected as the study subjects. According to whether they developed to SH (RBG>11.1 mmol/L) within 7 days of enrollment, the pat ients were divided into the SH group and the non-SH group for analysis. Logistic regression was used to analyze whether SH was an independent risk factor for SAE occurrence, and ROC curve was used to analyze the predictive value of SH to SAE. Kaplan-Meier curve was used to compare the 90-day survival of SAE patients with or without SH. Cox regression analysis was used to analyze the risk factors of 28-day and 90-day death in SAE patients.Results:A total of 183 sepsis patients were included, including 62 patients in the SH group and 121 in the non-SH group. Logistic regression analysis demonstrated that SH was an independent risk factor for SAE ( OR=4.452, 95% CI: 2.021-9.808, P <0.001). ROC curve demonstrated that SH could accurately predict SAE (AUC=0.831; Sensitivity=78.4%; Specificity=76.8%; and Yoden index=0.553). Kaplan-Meier curve demonstrated that the 90-day survival of SAE patients with SH significantly declined (log-rank test: P<0.01). Cox regression analysis suggested that SH was a risk factor for death at day 28 and day 90 in SAE patients (28 d, HR=2.272, 95% CI: 1.212-4.260, P=0.010; 90 d, HR=2.456, 95% CI: 1.400-4.306, P<0.01). Conclusions:SH is an independent risk factor for SAE and can predict SAE occurrence. SH significantly reduces 90-day survival and increase mortality at 28 and 90 days in SAE patients.