ObjectiveTo explore the impacts of material type and loading volume of rigid containers on the hydrogen peroxide low temperature plasma sterilization of thoracoscopic instruments, to identify the best rigid containers and loading volume of thoracoscopic instruments. MethodsThoracoscopic instruments sterilized by STERRAD^® 100NX hydrogen peroxide low temperature plasma in Shanghai Pulmonary Hospital affiliated to Tongji University from August to September 2024 were selected as the research items. According to the material of rigid containers, the instruments were divided into polyethylene case group (A), stainless steel case group (B) and silicone resin case group (C). In terms of the loading volume, the rigid containers were divided into (loading capacity <80%) groups of 8, 10 and 12 instruments. The results of physical monitoring, the first type of chemical indicator card monitoring, and the five types of card luminal chemical process challenge device (PCD) monitoring of the 9 groups of A8, A10, A12, B8, B10, B12, C8, C10 and C12 were compared and evaluated. ResultsCompared to A8, A10 A12, C8, C10 or C12 groups, the thoracoscope instruments in the stainless steel containers in B8, B10 or B12 group had higher hydrogen peroxide concentrations and shorter elapsed time in the pressure check phases 1 and phases 2, with the differences statistically significant (P<0.05), followed by the silicone resin case group and the polyethylene case group. The nine groups of physical parameter monitoring, the first type of chemical indicator monitoring, and the five types of chemical PCD monitoring for lumen sterilization achieved 100% qualification rates, and there were no significant differences in the qualified rates of sterilization among the 9 groups (P>0.05). ConclusionWhen using hydrogen peroxide low temperature plasma to sterilize thoracoscopic instruments, it is recommended to use stainless steel or silicone resin rigid containers with a controlled loading capacity (≤12) to ensure optimal sterilization quality.

Objective This study aimed to investigate the effects of silencing Ras homolog family member C(RhoC)on the proliferation,apoptosis,invasion,migration,and epithelial-mesenchymal transition(EMT)of salivary adenoid cystic carcinoma(SACC)and its molecular mechanisms.Methods A total of 27 SACC lesions and normal salivary gland tissues that were surgically resected at Qingdao Municipal Hospital from January 1,2019 to March 1,2024 were selected,and the expression levels of RhoC were detected by Western blot and immunohistochemistry.Three small interfering RNA(siRNAs)were designed to target the RhoC gene sequence,transfected into SACC-LM and SACC-83 cell lines,and evaluated for transfection efficiency.The protein expression levels of RhoC,Rho-asso-ciated protein kinase-1(ROCK1),p38 mitogen-activated protein kinase(p38MAPK),phosphorylated-p38MAPK(p-p38MAPK),twist family bHLH transcription factor 1(TWIST1),E-cadherin,N-cadherin,and Vimentin were com-pared using Western blot.CCK-8 assay,flow cytometry,transwell invasion assay,and wound healing assay were conducted to assess the differences in cell proliferation,apoptosis,invasion,and migration abilities among the groups.Bioinformatics methods were also used to predict possible upstream micro RNAs(miRNAs)of RhoC and their expression levels in SACC.Moreover,dual-luciferase reporter gene experiments were performed to verify the binding sites of miR-138-5p and RhoC.Results RhoC was highly expressed in SACC(P＜0.05).After silencing RhoC,the test group showed a significant decrease in the expression level of ROCK1,p-p38MAPK,TWIST1,N-cadherin,and Vimentin,as well as a significant increase in the expression level of E-cadherin(P＜0.05).No signifi-cant difference in the expression level of p38MAPK was observed(P＞0.05).The cell proliferation,invasion,and mi-gration ability decreased in the test group,whereas the apoptosis rates significantly increased(P＜0.05).miR-138-5p was lowly expressed in SACC,and miR-138-5p mimic can significantly downregulated the luciferase activity of 293T cells after transfection with a RhoC wild-type plasmid(P＜0.05).Conclusion RhoC is highly expressed in SACC,and RhoC silencing may target the downstream ROCK1/p38MAPK/TWISTl signaling pathway,thereby in-hibiting the proliferation,invasion,migration,and EMT of SACC while promoting its apoptosis.On the contrary,miR-138-5p is lowly expressed in SACC and is a potential upstream gene of RhoC,and there may be binding sites between the two genes.

ObjectiveTo observe the efficacy and safety of Uyghur medicine Yangxin Dawayimixike Honey Paste （养心达瓦依米西克蜜膏， YDMHP） in the treatment of stable angina pectoris （SAP） of qi stagnation and blood stasis syndrome. MethodsA randomized ， double-blind， positive-controlled，multi-center clinical trial was conducted， in which 370 patients with SAP of qi stagnation and blood stasis syndrome were randomly divided into treatment group（279 cases）and control group（91cases）at a ratio of 3∶1. The treatment group was orally administered with YDMHP， 3 g each time， and placebo of Xuefu Zhuyu Capsule （血府逐瘀胶囊）， 2.4 g each time， while the control group was treated with Xuefu Zhuyu Capsule， 2.4 g each time， and placebo of YDMHP， 3 g each time， both twice a day for a course of 12 weeks. The primary outcome was the effect of angina pectoris symptom. The secondary outcomes include single angina symptom scores such as number of attacks， duration of attacks， pain intensity and usae of nitroglycerin scores， the total angina symptom score before and after the treatment， the usage of nitroglycerin， the exercise duration in treadmill exercise test （TET） and the Duck treadmill score among patients，the scores of Seattle Angina Questionnaire （SAQ） on five dimensions including physical limitations， anginal stability， anginal frequency， treatment satisfaction， and disease perception， and efficacy of TCM syndrome and of each single TCM symptom after treatment. The safety were evaluated by examine blood routine， urine routine， liver and kidney function， fasting blood sugar， electrocardiogram， adverse events. ResultsThe total effective rate of angina symptom in the treatment group was 71.69% （200/279）， significantly higher than 51.64% （47/91） in the control group （P＜0.01）. The curative and markedly effective rate of TCM syndrome in the treatment group was 53.05% （148/279）， which was significantly higher than 25.27% （23/91） in the control group （P＜0.01）. After treatment， scores of the number as well as duration of angina attacks and pain severity， the total score of angina symptoms， and the usage of nitroglycerin significantly decreased in both groups， and more changes were seen in the treatment group than in the control group； the scores of physical limitations， anginal stability， anginal frequency， treatment satisfaction， and disease perception in both groups significantly increased， and more improvement were shown in the experimental group regarding the anginal stability， anginal frequency and treatment satisfaction （P＜0.05 or P＜0.01）. The effects of chest pain， chest tightness， palpitation， shortness of breath and fatigue in experimental group were significantly higher than those in control group （P＜0.05 or P＜0.01）. There was no significant difference in the exercise duration of treadmill test and Duke score among patients between the two groups either before or after treatment （P＞0.05）. Adverse events occurred in 66 cases （23.66%） of the experimental group and 16 cases （17.58%） of the control group， with no statistical significance between the two groups （P＞0.05）. ConclusionThe Uyghur medicine YDMHP can effectively improve symptoms of angina pectoris， reduce the number， duration， and intensity of attacks， decrease the dosage of nitrogly-cerin and improve the individual TCM symptoms and has good safety in the treatment of SAP patients of qi stagnation and blood stasis.

Objective:To construct a risk prediction model for infection with Klebsiella pneumonia (KP) for patients with severe acute pancreatitis (SAP).Methods:Retrospective analysis was done on the clinical data of 109 SAP patients who were admitted to Shanghai General Hospital, between March 2016 and December 2021. Patients were classified into infection group ( n=25) and non-infection group ( n=84) based on the presence or absence of KP infection, and the clinical characteristics of the two groups were compared. The least absolute shrinkage and selection operator (LASSO) algorithm was used to reduce the dimension of the variables with statistical significance in univariate analysis. A nomogram prediction model was created by incorporating the optimized features from the LASSO regression model into the multivariate logistic regression analysis. Receiver operating characteristic curve (ROC) was drawn and the area under curve (AUC) was calculated; and consistency index (C-index) were used to assess the prediction model's diagnostic ability. Results:A total of 25 strains of KP were isolated from 109 patients with SAP, of which 21(84.0%) had multi-drug resistance. 20 risk factors (SOFA score, APACHEⅡ score, Ranson score, MCTSI score, mechanical ventilation time, fasting time, duration of indwelling of the peritoneal drainage tube, duration of deep vein indwelling, number of invasive procedures, without or with surgical intervention, without or with endoscopic retrograde cholangiopancreatography (ERCP), types of high-level antibiotics used, digestion disorders, abnormalities in blood coagulation, metabolic acidosis, pancreatic necrosis, intra-abdominal hemorrhage, intra-abdominal hypertension, length of ICU stay and total length of hospital stay) were found to be associated with KP infection in SAP patients by univariate analysis. The four variables (APACHEⅡ score, duration of indwelling of the peritoneal drainage tube, types of high-level antibiotics used, and total length of hospital stay) were extracted after reduced by LASSO regression. These four variables were found to be risk factors for KP infection in SAP patients by multiple logistic regression analysis (all P value <0.05). Nomogram prediction model for KP infection in SAP was established based on the four variables above. The verification results of the model showed that the C-index of the model was 0.939, and the AUC was 0.939 (95% CI 0.888-0.991), indicating that the nomogram model had relatively accurate prediction ability. Conclusions:This prediction model establishes integrated the basic clinical data of patients, which could facilitate the risk prediction for KP infection in patients with SAP and thus help to formulate better therapeutic plans for patients.

Engineered probiotics can serve as therapeutics based on their ability of produce recombinant immune-stimulating properties. In this study, we built the recombinant Bacillus subtilis WB800 expressing antimicrobial peptide KR32 (WB800-KR32) using genetic engineering methods and investigated its protective effects of nuclear factor-E2-related factor 2 (Nrf2)‍-Kelch-like ECH-associated protein 1 (Keap1) pathway activation in intestinal oxidative disturbance induced by enterotoxigenic Escherichia coli (ETEC) K88 in weaned piglets. Twenty-eight weaned piglets were randomly distributed into four treatment groups with seven replicates fed with a basal diet. The feed of the control group (CON) was infused with normal sterilized saline; meanwhile, the ETEC, ETEC+WB800, and ETEC+WB800-KR32 groups were orally administered normal sterilized saline, 5×10¹⁰ CFU (CFU: colony forming units) WB800, and 5×10¹⁰ CFU WB800-KR32, respectively, on Days 1‍‒‍14 and all infused with ETEC K88 1×10¹⁰ CFU on Days 15‍‒‍17. The results showed that pretreatment with WB800-KR32 attenuated ETEC-induced intestinal disturbance, improved the mucosal activity of antioxidant enzyme (catalase (CAT), superoxide dismutase (SOD), and glutathione peroxidase (GPx)) and decreased the content of malondialdehyde (MDA). More importantly, WB800-KR32 downregulated genes involved in antioxidant defense (GPx and SOD1). Interestingly, WB800-KR32 upregulated the protein expression of Nrf2 and downregulated the protein expression of Keap1 in the ileum. WB800-KR32 markedly changed the richness estimators (Ace and Chao) of gut microbiota and increased the abundance of Eubacterium_rectale_ATCC_33656 in the feces. The results suggested that WB800-KR32 may alleviate ETEC-induced intestinal oxidative injury through the Nrf2-Keap1 pathway, providing a new perspective for WB800-KR32 as potential therapeutics to regulate intestinal oxidative disturbance in ETEC K88 infection.
Animals ; Swine ; Enterotoxigenic Escherichia coli ; Kelch-Like ECH-Associated Protein 1 ; Bacillus subtilis ; NF-E2-Related Factor 2 ; Antioxidants ; Oxidative Stress

Objective:To investigate the predictive value of clinical radiomics model based on nnU-Net for the prognosis of gallbladder carcinoma (GBC).Methods:The retrospective cohort study was conducted. The clinicopathological data of 168 patients who underwent curative-intent radical resection of GBC in the First Affiliated Hospital of Xi'an Jiaotong University from January 2012 to December 2020 were collected. There were 61 males and 107 females, aged (64±11)years. All the 168 patients who underwent preoperative enhanced computed tomography (CT) examina-tion were randomly divided into 126 cases in training set and 42 cases in test set according to the ratio of 3:1 based on random number table. For the portal venous phase images, 2 radiologists manually delineated the region of interest (ROI), and constructed a nnU-net model to automatically segment the images. The 5-fold cross-validation and Dice similarity coefficient were used to evaluate the generalization ability and predictive performance of the nnU-net model. The Python software (version 3.7.10) and Pyradiomics toolkit (version 3.0.1) were used to extract the radiomics features, the R software (version 4.1.1) was used to screen the radiomics features, and the variance method, Pearson correlation analysis, one-way COX analysis and random survival forest model were used to screen important radiomics features and calculate the Radiomics score (Radscore). X-tile software (version 3.6.1) was used to determine the best cut-off value of Radscore, and COX proportional hazard regression model was used to analyze the independent factors affecting the prognosis of patients. The training set data were imported into R software (version 4.1.1) to construct a clinical radiomics nomogram model of survival prediction for GBC. Based on the Radscore and the independent clinical factors affecting the prognosis of patients, the Radscore risk model and the clinical model for predicting the survival of GBC were constructed respectively. The C-index, calibration plot and decision curve analysis were used to evaluate the predictive ability of different survival prediction models for GBC. Observation indicators: (1) segmentation results of portal venous phase images in CT examination of GBC; (2) radiomic feature screening and Radscore calculation; (3) prognostic factors analysis of patients after curative-intent radical resection of GBC; (4) construction and evaluation of different survival prediction models for GBC. Measurement data with normal distribution were represented by Mean± SD. Count data were expressed as absolute numbers or percentages, and comparison between groups was analyzed using the chi-square test. Univariate and multivariate analyses were performed using the COX proportional hazard regression model. The postoperative overall survival rate was calculated by the life table method. Results:(1) Segmentation results of portal venous phase images in CT examination of GBC: the Dice similarity coefficient of the ROI based on the manual segmentation and nnU-Net segmentation models was 0.92±0.08 in the training set and 0.74±0.15 in the test set, respectively. (2) Radiomic feature screening and Radscore calculation: 1 502 radiomics features were finally extracted from 168 patients. A total of 13 radiomic features (3 shape features and 10 high-order features) were screened by the variance method, Pearson correlation analysis, one-way COX analysis and random survival forest model. Results of random survival forest model analysis and X-tile software analysis showed that the best cut-off values of the Radscore were 6.68 and 25.01. A total of 126 patients in the training set were divided into 41 cases of low-risk (≤6.68), 72 cases of intermediate-risk (>6.68 and <25.01), and 13 cases of high-risk (≥25.01). (3) Prognostic factors analysis of patients after curative-intent radical resection of GBC: the 1-, 2-, and 3-year overall survival rates of 168 patients were 75.8%, 54.9% and 45.7%, respectively. The results of univariate analysis showed that preopera-tive jaundice, serum CA19-9 level, Radscore risk (medium risk and high risk), extent of surgical resection, pathological T staging, pathological N staging, tumor differentiation degree (moderate differentiation and low differentiation) were related factors affecting prognosis of patients in the training set ( hazard ratio=3.28, 3.00, 3.78, 6.34, 4.48, 6.43, 3.35, 7.44, 15.11, 95% confidence interval as 1.91?5.63, 1.76?5.13, 1.76?8.09, 2.49?16.17, 2.30?8.70, 1.57?26.36, 1.96?5.73, 1.02?54.55, 2.04?112.05, P<0.05). Results of multivariate analysis showed that preoperative jaundice, serum CA19-9 level, Radscore risk as high risk and pathological N staging were independent influencing factors for prognosis of patients in the training set ( hazard ratio=2.22, 2.02, 2.89, 2.07, 95% confidence interval as 1.20?4.11, 1.11?3.68, 1.04?8.01, 1.15?3.73, P<0.05). (4) Construction and evaluation of different survival prediction models for GBC. Clinical radiomics model, Radscore risk model and clinical model were established based on the independent influencing factors for prognosis, the C-index of which was 0.775, 0.651 and 0.747 in the training set, and 0.759, 0.633, 0.739 in the test set, respectively. The calibration plots showed that the Radscore risk model, clinical model and clinical radiomics model had good predictive ability for prognosis of patients. The decision curve analysis showed that the prognostic predictive ability of the clinical radiomics model was better than that of the Radscore risk and clinical models. Conclusion:The clinical radiomics model based on the nnU-Net has a good predictive performance for prognosis of GBC.

Objective:To establish a prediction model of acute upper gastrointestinal rebleeding (AUGIRB) for elderly patients by combining and applying multiple indicators.Methods:A retrospective observational study was conducted. The clinical data of 161 elderly patients (age ≥ 65 years old) who suffered from acute upper gastrointestinal bleeding (AUGIB) and who were hospitalized in Shanghai General Hospital from July 2018 to December 2020 were recorded. The patients were divided into the rebleeding group (31 cases) and the non-rebleeding group (130 cases) according to whether gastrointestinal rebleeding occurred. Univariate analysis was adopted to screen AUGIRB-related risk factors and Logistic regression analysis was used to screen independent predictors of AUGIRB so that a predictive model was constructed. Based on the area under the curve (AUC) of the receiver operator characteristic curve (ROC curve), the predictive ability of the prediction model for AUGIRB was evaluated, the optimal cut-off value was determined, and the odds ratio ( OR) and its 95% confidence interval (95% CI) were calculated. Bootstrap resampling technology was used to validate the predictive ability of the model. Results:Univariate Logistic analysis showed that oral anticoagulant drugs, oral antiplatelet drugs, albumin (ALB), platelet count (PLT), Glasgow-Blatchford bleeding score (GBS), D-dimer, fibrinogen (FIB), and international normalized ratio (INR) all had a significant effect on the occurrence of AUGIRB among elderly patients. Multivariate Logistic regression analysis showed that the oral antiplatelet drugs ( OR = 11.150, 95% CI was 1.888-65.852, P < 0.05) and GBS score ( OR = 2.503, 95% CI was 1.523-4.114, P < 0.05) were the independent risk factors of AUGIRB among elderly patients, while the ALB ( OR = 0.764, 95% CI was 0.626-0.932, P < 0.05) and FIB ( OR = 0.065, 95% CI was 0.011-0.370, P < 0.05) were the protective factors of AUGIRB among elderly patients. The AUC of the above four indexes joint prediction model was 0.979. The verification results of the model showed that the consistency index (C-index) of the model was 0.986. Conclusion:The prediction model fitted in this research has a high prediction accuracy and it also has a certain reference value for the judgment of elderly patients who suffer from AUGIRB.

Objective:To investigate the establishment and application value of a radio-mics prediction model for lymph node metastasis of gallbladder carcinoma based on dual-phase enhanced computed tomography (CT).Methods:The retrospective cohort study was conducted. The clinicopathological data of 194 patients with gallbladder carcinoma who were admitted to the First Affiliated Hospital of Xi'an Jiaotong University from January 2012 to December 2020 were collected. There were 70 males and 124 females, aged (64±10)years. All patients underwent curative-intent resection of gallbladder carcinoma. A total of 194 patients were randomly divided into 156 cases in training set and 38 cases in test set according to the ratio of 8:2 based on random number method in R software. The training set was used to establish a diagnostic model, and the test set was used to validate the diagnostic model. After the patients undergoing CT examination, image analysis was performed, radiomics features were extracted, and a radiomics model was established. Based on clinicopathological data, a nomogram prediction model was established. Observation indicators: (1) lymph node dissection and histopathological examination results; (2) establishment and characteristic analysis of a radiomics prediction model; (3) analysis of influencing factors for lymph node metastasis of gallbladder carcinoma; (4) establishment of a nomogram prediction model for lymph node metastasis; (5) comparison of the predictive ability between the radiomics prediction model and nomogram prediction model for lymph node metastasis. Measurement data with normal distribution were represented as Mean± SD, and measurement data with skewed distribution were represented as M(range). Count data were expressed as absolute numbers, and comparison between groups was performed by the chi-square test. Univariate analysis was conducted by the chi-square test, and multivariate analysis was performed by the Logistic regression model forward method. The receiver operating characteristic curve was drawn, and the area under curve, decision curve, confusion matrix were used to evaluate the predictive ability of prediction models. Results:(1) Lymph node dissection and histopathological examination results. Of the 194 patients, 182 cases underwent lymph node dissection, with the number of lymph node dissected as 8(range, 1?34) per person and the number of positive lymph node as 0(range, 0?11) per person. Postoperative histopathological examination results of 194 patients: 122 patients were in stage N0, with the number of lymph node dissected as 7(range, 0?27) per person, 48 patients were in stage N1, with the number of lymph node dissected as 8(range, 2?34) per person and the number of positive lymph node as 1(range, 1?3) per person, 24 patients were in stage N2, with the number of lymph node dissected as 11(range, 2?20) per person and the number of positive lymph node as 5(range, 4?11) per person. (2) Establishment and characteristic analysis of a radiomics prediction model. There were 107 radiomics features extracted from 194 patients, including 18 first-order features, 14 shape features and 75 texture features. According to the intra-group correlation coefficient and absolute median difference of each radiomics feature, mutual information, Select K-Best, least absolute shrinkage and selection operator regression were conducted to further reduce dimensionality. By further combining 5 different machine learning algorithms including random forest, gradient boosting secession tree, support vector machine (SVM), K-Nearest Neighbors and Logistic regression, the result showed that the Select K-Best_SVM model had the best predictive performance after analysis, with the area under receiver operating characteristic curve as 0.76 in the test set. (3) Analysis of influencing factors for lymph node metastasis of gallbladder carcinoma. Results of univariate analysis showed that systemic inflammation response index, carcinoembryonic antigen (CEA), CA19-9, CA125, radiological T staging and radiological lymph node status were related factors for lymph node metastasis of patients with gallbladder cancer ( χ2=4.20, 11.39, 5.68, 11.79, 10.83, 18.58, P<0.05). Results of multivariate analysis showed that carcinoembryonic antigen, CA125, radiological T staging (stage T3 versus stage T1?2, stage T4 versus stage T1?2), radiological lymph node status were independent influencing factors for lymph node metastasis of patients with gallbladder carcinoma [ hazard ratio=2.79, 4.41, 5.62, 5.84, 3.99, 95% confidence interval ( CI) as 1.20?6.47, 1.81?10.74, 1.50?21.01, 1.02?33.31, 1.87?8.55, P<0.05]. (4) Establishment of a nomogram prediction model for lymph node metastasis. A nomogram prediction model was established based on the 4 independent influencing factors for lymph node metastasis of gallbladder carcinoma, including CEA, CA125, radiological T staging and radiological lymph node status. The concordance index of the nomogram model was 0.77 (95% CI as 0.75?0.79) in the training set and 0.73 (95% CI as 0.68?0.72) in the test set, respectively. (5) Comparison of the predictive ability between the radiomics predic-tion model and nomogram prediction model for lymph node metastasis. The receiver operating characteristic curve showed that the areas under the curve of Select K-Best_SVM radiomics model were 0.75 (95% CI as 0.74?0.76) in the training set and 0.76 (95% CI as 0.75?0.78) in the test set, respectively. The areas under the curve of nomogram prediction model were 0.77 (95% CI as 0.76?0.78) in the training set and 0.70 (95% CI as 0.68?0.72) in the test set, respectively. The decision curve analysis showed that Select K-Best_SVM radiomics model and nomogram prediction model had a similar ability to predict lymph node metastasis. The confusion matrix showed that Select K-Best_SVM radiomics model had the sensitivity as 64.29% and 75.00%, the specificity as 73.00% and 59.09% in the training set and test set, respectively. The nomogram had the sensitivity as 51.79% and 50.00%, the specificity as 80.00% and 72.27% in the training set and test set, respectively. Conclusion:A dual-phase enhanced CT imaging radiomics prediction model for lymph node metastasis of gallbladder carcinoma is successfully established, and its predictive ability is good and consistent with that of nomogram.

Objective:To observe the effect of evidence-based early activity training on postoperative delirium in patients with brain tumor resection.Methods:This study used non-contemporary comparison method, a total of 238 patients admitted to the Second Affiliated Hospital of Zhejiang University School of Medicine in 2019, were included. 121 patients who met the inclusion criteria and signed informed consent after craniotomy during January 1st,2019 to June 31th,2019 were included in the control group, and 117 patients who met the criteria and obtained informed consent after craniotomy during July 1 to December 31,2019, were included in the experimental group. Neurosurgical postoperative routine nursing care were given to the control group. The experimental group received evidence-based early activity training. The incidence of delirium, duration of delirium, Barthel Index (BI), delirium-related adverse events and other indicators of postoperative hospitalization were compared between two groups.Results:The incidence of delirium, duration of delirium and postoperative hospital stay in the experimental group were 9.5%, 2.0 (1,3) days and 7 (5,10) days, lower than 23.3%, 3.0 (1,5) days and 8 (6,11) days in control group, and the differences were statistically significant ( χ2 value was 8.17, Z value were 2.96 and -2.01, P<0.05). BI index 1 week and 1 month after discharge in the experimental group was 90 (85, 90), 100 (100, 100), higher than the control group of 90 (86, 90) and 100 (100,100), with statistically significant difference ( Z values were -2.41 and -2.46, P<0.05), the comparison of adverse events, 0 case in experimental group, 1 case in control group, there was no statistically significant difference ( χ2 value was 0.97, P>0.05). Conclusions:Early evidence-based activities in patients with brain tumor resection can reduce the incidence of postoperative delirium, shorten the duration of postoperative delirium and postoperative hospital stay, and improve the ability of patients to take care of themselves after surgery, which is safe and effective.

OBJECTIVE: To compare laboratory and clinical outcomes of fertilization-embryo transfer (IVF-ET) in patients with endometriosis using antagonist protocol, long agonist protocol or prolonged agonist protocol. METHODS: Totally 313 patients with endometriosis were recruited in Reproductive Centers of the Second Affiliated Hospital of Zhejiang University School of Medicine,Jiaxing Women and Children's Hospital,and Ningbo Women and Children's Hospital from April 2017 to October 2018, including 81 patients treated with antagonist protocol (antagonist group), 148 treated with long agonist protocol (long agonist group) and 84 treated with prolonged agonist protocol (prolonged agonist group). The clinical and laboratory data of the patients were retrospectively analyzed to investigate the effect of ovarian stimulation protocols on the IVF-ET outcomes of patients with endometriosis. RESULTS: The average age in the antagonist group patients was significantly higher than those in the other two groups (all <0.05),and anti-mullerian hormone (AMH) level and antral follicle numbers were significantly lower than those in the other two groups (all <0.01). The numbers of average retrieved oocyte, fertilized oocyte and available embryo in the antagonist group were significantly lower than those in the long agonist group (all <0.05), but were similar with those in the prolonged agonist group (all >0.05). Fertilization rate and available embryo rate were comparable among the three groups (all >0.05). Considering analysis per cycle with embryo transfer, the human chorionic gonadotrophin (HCG) positive rate, clinical pregnancy rate and total implantation rate showed no significant difference among the three groups (all >0.05). The implantation rate after fresh embryo transfer in the antagonist group was lower than that in the long agonist group (<0.05), but was similar with that in the prolonged agonist group (>0.05). While the implantation rate of freeze-thaw embryo transfer showed a higher trend in the antagonist group, but there was no significant difference (>0.05). The patients were further divided into diminished and normal ovarian reserve subgroups, the per cycle with embryo transfer, the HCG positive rate, clinical pregnancy rate and total implantation rate still showed no significant difference between two subgroups (all >0.05), no matter in which ovarian stimulation protocol groups. Besides, in women with diminished ovarian reserve, the available embryo rate in antagonist group was significantly higher than that in the long agonist group (<0.05). The amount and duration of Gn application in antagonist group were significantly lower than those in long and prolonged agonist groups (all <0.05). CONCLUSIONS Patients with endometriosis who used the antagonist protocol in IVF procedure could reduce the cost and time of Gn treatment, when combined with frozen-embryo transfer strategy the antagonist protocol has comparable clinical pregnancy outcome with long or prolonged agonist protocol, especially in those with diminished ovarian reserve, the higher available embryo rate can be achieved.
Embryo Transfer ; Endometriosis ; therapy ; Female ; Fertilization in Vitro ; Humans ; Ovulation Induction ; methods ; Pregnancy ; Retrospective Studies