Objective: To comprehensively evaluate and analyze the transfusion outcomes of patients with acute upper gastrointestinal bleeding (UGIB). Methods: The transfusion management system and hospital information system (HIS) were used to retrospectively collect clinical data of 230 patients with UGIB admitted to Zhejiang Provincial People's Hospital and its branches from June 2018 to June 2021. 101 cases were screened and categorized into transfusion group (n=56) and non-transfusion group (n=45) based on transfusion outcomes. The cohort comprised 68 males and 33 females. A univariate model based on the AIMS65 score, a logistic multiple regression model, and multivariate transfusion models using machine learning methods (including Random Forest, Support Vector Machine, and Artificial Neural Network) were established. The sensitivity, specificity, accuracy, and receiver operating characteristic (ROC) curves of each model were compared. Results: For the univariate model based on the AIMS65 scoring, the optimal threshold was 1.5. This model demonstrated a sensitivity of 0.446, a specificity of 0.822, an AUC of 0.67, an accuracy (ACC) of 0.614, a Kappa value of 0.256, and an F1-score of 0.655. For logistics regression model (optimal critical probability: 0.459), the sensitivity was 0.929, specificity was 0.889, AUC was 0.96, ACC was 0.911, Kappa was 0.819, and F1-score was 0.899. For the Random Forest model (optimal critical probability: 0.458), the sensitivity was 0.964, specificity was 0.956, AUC was 0.99, ACC was 0.960, Kappa was 0.920, and F1-score was 0.956. For the Support Vector Machine model (optimal critical probability: 0.474), the sensitivity was 0.875, specificity was 0.933, AUC was 0.94, ACC was 0.901, Kappa was 0.801, and F1-score was 0.894. For the Artificial Neural Network model (optimal critical probability: 0.797), the sensitivity was 0.804, specificity was 0.956, AUC was 0.96, ACC was 0.871, Kappa was 0.745, and F1-score was 0.869. Ten-fold cross validation also confirmed the reliability of the results. Conclusion: Based on integrated various clinical test indicators of patients, we could establish logistic regression model and multiple machine learning models. These models hold significant value for predicting the need for blood transfusion in patients, indicating a promising application prospect for machine learning algorithms in transfusion prediction.

OBJECTIVE To evaluate the efficacy and safety of dydrogesterone in the treatment of dysmenorrhea. METHODS The prospective ，random-controlled，open-labeland multicenter clinical study was adopted. A total of 108 women with dysmenorrhea were randomly assigned into dydrogesterone group and control group according to the ratio of 1∶1，with 54 patients in each group. Dydrogesterone group was treated with dydrogesterone 10 mg orally ，twice a day ，on the 5th-25th day of menstrual cycle ，for 3 menstrual cycles. Control group received Guizhi fuling capsule 0.93 g orally ，three times a day，since the end of menstrual bleeding to the third day of the next menstruation ，for 3 menstrual cycles. Main results were the changes of visual analogue scale （VAS）scores in 2 groups after 3 menstrual cycles ；secondary results were the changes of COX menstrual symptom scale （CMSS），quality life of 36-item short form （SF-36），levels of carbohydrate antigen 125（CA125）and interleukin 6（IL-6）after 3 menstrual cycles ；other findings included additional benefits and drug safety. RESULTS The results of intention to analysis data set and the follow-up study protocol analysis data set showed that VAS scores of 2 groups after treatment of dysmenorrhea for 1，2 and 3 menstrual cycles were lower than those before treatment ，the longer the treatment time ，the more obvious the decrease of VAS score （P＜0.05），and VAS score decline of dydrogesterone group was better than that of control group（P＜0.05）. After 3 menstrual cycles ，both the two group showed significant reduction in the severity and duration scores of CMSS（P＜0.05）；and the decrease of the above scores in the dydrogesterone group was superior than in the control group （P＜ 0.05）. After 3 menstrual cycles ，among 8 dimensions of SF- 36 scale，the scores of 7 dimensions in dydrogesterone group were significantly higher than those before treatment ，such as the scores of physiological function ，physical role ，physical pain ， emotional function ，social function ，general health status and energy （P＜0.05）；the increase of the scores of four dimensions were higher than those in the control group ，such as physical pain ，social function ，general health status ，energy（P＜0.05）. There was no significant difference in the levels of CA 125 and IL- 6 between 2 groups before and after treatment （P＞0.05）. After 3 menstrual cycles，the menstrual cycle and menstrual period in the dydrogesterone group were shorter than those before treatment ，and the menstrual volume decreased （P＜0.05）；but there was no significant change in the above indexes of control group （P＞0.05）. After 3 menstrual cycles ，the incidence of adverse drug events and adverse reactions in dydrogesterone group was 32.69％（17/52）and 28.85％（15/52）；no serious adverse drug events or adverse reactions such as thrombosis occurred in both groups. CONCLUSIONS Dydrogesterone can effectively reduce the VAS score ，also relieve dysmenorrhea-related symptoms ，and improve the quality of life. The efficacy of dydrogesterone is superior than that of Guizhi fuling capsule in treatment for dysmenorrheal ，without serious adverse reactions. It is well tolerated.

Objective     To explore the role of versican (VCAN) in ESCC prognosis based on bioinformatics data. Methods    First, three RNA microarray datasets of ESCC were downloaded from GEO database, which were then integrated and used to explore differentially expressed genes (DEGs). The subsequent analysis was conducted based on the results of these DEGs: (1) The STRING database was used to construct a protein-protein interaction (PPI) network;(2) molecular complex detection software was used to analyze the modules of the PPI network, of which the most significant modules were chosen, and hub genes were the genes included in the chosen modules; (3) high-throughput RNA sequencing data from TCGA and GTEx databases were used to verify the expression of these hub genes to confirm whether they were differentially expressed; (4) the survival curve analysis of confirmed DEGs was conducted to select genes that had significant influence on the survival of ESCC; (5) TIMER database was used to analyze the relationship between the gene expression of VCAN and the abundance of tumor-infiltrating immune cells (TIICs) and gene markers in these cells; (6) Targetscan and miRDB software were used to predict the miRNAs that could regulate VCAN, and Cytoscape software was used to construct the regulatory network. Results    A total of 630 DEGs and 32 hub genes were found, of which VCAN was an up-regulated DEG, and high expression of VCAN was significantly associated with poor prognosis of ESCC. Moreover, VCAN could also play a role in the immune microenvironment of ESCC, which was mainly manifested by a significant positive correlation between the abundance of VCAN and the abundance of M2 macrophages gene markers, some of which had been reported to be associated with poor prognosis of ESCC. Finally, we also found that VCAN could be regulated by 15 miRNAs in ESCC, some of which had been reported to be associated with ESCC prognosis. Conclusion    This study provides direct and indirect comprehensive evidence for the role of VCAN in ESCC prognosis. The direct evidence is that the survival curve shows that highly expressed VCAN is significantly associated with the poor prognosis of ESCC, and the indirect evidence is that VCAN is positively related to some markers which indicate poor prognosis in the ESCC immune microenvironment, and VCAN can be regulated by some prognostic miRNAs in ESCC.

Objective:To explore the clinical effect of Huayu-Ningkun liquid enema and external application of dreg for treating chronic pelvic inflammatory disease. Methods:A total of 106 patients with chronic pelvic inflammatory disease who met the inclusion criteria in the gynecological outpatient department of Beijing Hospital of Integrated Chinese and Western Medicine from January 2018 to December 2019 were divided into 2 groups by random number table method, with 53 patients in each group. The control group was treated with conventional western medicine therapy, and the observation group was combined with Huayu-Ningkun liquid enema and external application of drug residue on the basis of the control group. TCM symptom scores were performed before and after treatment, and the Quality of Life of patients was evaluated by Generic Quality of Life Inventory-74 (GQOLI-74). Serum CRP and TNF-α levels were detected by ELISA, and adverse reactions during treatment were recorded. Results:The total effective rate was 96.2% (51/53) in the observation group and 83.0% (44/53) in the control group, and the difference between the two groups was statistically significant ( χ2=4.970, P=0.026). After treatment, the TCM symptom scores of the observation group was significantly lower than that of the control group ( t=8.205, P<0.01). The scores of physical function, mental function, material life and social function were significantly higher than those in the control group ( t value were 7.503, 8.786, 7.798, 9.353, all Ps<0.001). After treatment, the levels of serum CRP (4.52 ± 3.46 g/L vs. 8.23 ± 3.35 g/L, t=5.608) and TNF-α (1.00 ± 0.35 μg/L vs. 1.52 ± 0.28 μg/L, t=14.551) in the observation group were significantly lower than those in the control group ( P<0.01). Conclusion:The Huayu-Ningkun liquid enema and drug residue external application combined with western medicine can relieve the symptoms, reduce the level of inflammatory cytokines, improve clinical efficacy of the patients with chronic pelvic inflammatory disease.

OBJECTIVE: To assess the reliability and validity of Adversity Quotient Scale in evaluating the adversity quotient among nurses. METHODS: A total of 409 nurses were selected as study subjects from three first-class hospitals in Fujian Province by cluster sampling method. The adversity quotient was investigated by Adversity Quotient Scale and its reliability and validity were tested. RESULTS: The Cronbach′s alpha coefficient, Spearman-Brown coefficient, Guttman Split-Harf coefficient and retest reliability of Adversity Quotient Scale were 0.931, 0.826, 0.823 and 0.940, respectively. The content validity ratio of Adversity Quotient Scale was 0.980. The scores of control, attribution, extension and tolerance factors were positively correlated with the total score of Adversity Quotient Scale(correlation coefficients were 0.813, 0.844, 0.874 and 0.822, respectively, P<0.05). Before model modification, the initial model fitting index of confirmatory factor analysis was χ~2/df=3.72, root mean square residual approximate(RMSEA)=0.09, the overall fitting of the model was not high. After model modification, the combined reliability of control, attribution, extension and tolerance factors were 0.780, 0.796, 0.831 and 0.871, respectively. The fitting index of the modified model was χ~2/df=3.08, RMSEA=0.07, showing a good fitting of the model. CONCLUSION: Adversity Quotient Scale has a good reliability and validity in the assessment of nurses, which can be a reliable and effective adversity quotient assessment tool.

Objective To compare the influence of hemodialysis (HD) and peritoneal dialysis (PD) on early outcome of patients underwent kidney transplantation from donation after cardiac death (DCD).Methods Patients admitted in the First People's Hospital of Foshan with DCD kidney transplant from January 1st,2011 to June 30th,2016 were analyzed retrospectively.Recipients were grouped into HD group (n=61) and PD group (n=28) according to their pre-transplant dialysis modality.Their short-term outcomes after DCD kidney transplant were compared,including recovery of renal function,short-term complications and laboratory data.Results Patients had longer dialysis duration and lower hemoglobin,serum albumin and phosphorus in PD group than those in HD group (all P ＜ 0.05),but no significant difference shown in age,gender,body mass index,primary disease,blood pressure,and hepatitis B infection (all P ＞ 0.05).HD patients with 6.00(4.00,11.00) d recovery time of renal function,18.00(17.00,21.50) d hospital time,had 24.59％ the delayed graft function (DGF),3.28％ acute rejection and 16.39％ infection during hospitalization.While for PD patients the recovery time of renal function was 4.00(3.75,7.00) d;hospital time was 19.00(15.00,21.75) d;the incidence rate of DGF was 14.29％;acute rejection was 3.57％;and infection during hospitalization reached 17.86％.Above indexes were not significantly different between HD and PD groups (all P ＞0.05).Repeated measure ments showed that,compared with those before transplant surgery,after 1 month,3 months and 6 months HD and PD groups had decreased creatinine and phosphorus,and increased hemoglobinserum albumin and calcium;Serum albumin and calcium were different between the two groups (P ＜ 0.001,P=0.040),whereas creatinine,hemoglobin and phosphorus did not show difference (all P ＜ 0.05).After transplantation the trends of creatinine,hemoglobin,calcium and phosphorus were not different between the two groups (P values were 0.295,0.310,0.501 and 0.063,respectively).Conclusions No significant difference of the recovery regarding renal function,anemia,nutrition status and mineral metabolites was found between pre-transplant HD and PD modality in patients who underwent DCD kidney transplantations.

Objective To observe the short?term clinical outcomes of kidney transplantation from brain and cardiac death donors (DBCD) and assess its feasibility to expand organ donor pool. Methods A retrospective analysis was performed on 48 cases of kidney transplantation from DBCD. The transplant recipients had finished 12?month follow?up in the First People's Hospital of Foshan from September 2011 to February 2015, with their renal function, rejection reaction and complications at 1 week, 1 month, 3 months, 6 months and 12 months after renal transplantation being collected. Survival rates of transplant recipients and transplant kidneys, incidence of delayed graft function (DGF) and its influence for recipients and graft survival were analyzed by statistics. Results In the 48 cases, the survival rates of recipients at 1, 3, 6 and 12 months after transplantation were 100.0%, 100.0%, 97.9%, 95.8%, and the survival rates of transplanted kidneys were 95.8%, 95.8%, 93.8%, 91.7%, respectively. DGF occurred in 8 of 48 (17.0%), but the occurrence of DGF did not adversely influence patient's survival (P=0.524) or graft survival (P=0.362). Conclusions The short?term clinical outcomes of kidney transplantation from DBCD are ideal. As the legislation of donation after brain death (DBD) has not been ratified in China, the kidney transplantation from DBCD could be an
important way to solve the shortage of organs, and increase the number of kidneys available for transplantation.