AIM:To assess the efficacy of intravitreal conbercept for treating neovascular age-related macular degeneration(nAMD)under a treat-and-extend(T & E)regimen.METHODS: A retrospective analysis was conducted on nAMD patients followed over a 2-year period(May 2020 to May 2022). All eyes received three monthly loading intravitreal injections of conbercept, followed by a T& E regimen in which the injection interval was extended by 2 or 4 wk according to disease activity, up to a maximum of 16 wk. When disease activity recurred, the interval was shortened. Patients were divided into initial and non-initial treatment groups based on treatment history. Best-corrected visual acuity(BCVA), central macular thickness(CMT), injection frequency, and intervals between injections over the 24-month follow-up were compared.RESULTS:Totally 27 patients(15 males and 12 females, 33 eyes)were enrolled. In the initial treatment group(18 eyes, mean age 65.72±12.32 y), BCVA significantly improved at 1, 3, and 6 mo(P<0.05), and CMT significantly improved at 1 and 3 mo(P<0.05). In the non-initial treatment group(15 eyes, mean age 69.00±9.21 y), BCVA improved significantly at 3 mo(P<0.05), whereas CMT remained stable(P >0.05). Baseline CMT was similar between the groups(P>0.05). However, significant differences were observed at multiple post-injection time points(P<0.05). The total number of injections did not differ between the groups(P>0.05). Intervals between injections varied, with the majority at 4 and 3-4 mo in the initial and non-initial treatment groups, respectively.CONCLUSION:Initiating intravitreal conbercept therapy under a T & E regimen results in superior visual and anatomical outcomes compared with non-initial treatment.

Objective:To investigate the influencing factors and prognosis of early recurrence after gastrectomy for gastric cancer.Methods:The retrospective cohort study was conducted. The clinicopathological data of 2 078 patients who underwent gastrectomy for gastric cancer at six medical centers across China, including Fudan University Shanghai Cancer Center et al, between January 2012 and June 2023 were collected. There were 1 449 males and 629 females, aged (59±11) years. Patients were classified as early recurrence and late recurrence based on the time of post-operative recurrence. Observation indicators: (1) comparison of clinicopathological characteristics between gastric cancer patients with different recurrence types; (2) recurrence and metastasis of tumor; (3) survival of patients after postoperative recurrence of gastric cancer; (4) analysis of influencing factors for early recurrence after gastrectomy for gastric cancer. Comparison of measurement data with normal distribution between groups was conducted using the independent sample t test. Comparison of measurement data with skewed distribution between groups was conducted using the Mann-Whitney U test. Comparison of count data between groups was conducted using the chi-square test. Comparison of ordinal data between groups was conducted using the rank sum test. Multivariate analysis was conducted using the Logistic regression model. Kaplan-Meier method was used to calculate survival rate and plot survival curve, and Log-rank test was used for survival analysis. Results:(1) Comparison of clinicopathological characteristics between gastric cancer patients with different recurrence types. Among the 2 078 patients, 1 452 cases had early recurrence and 626 cases had late recurrence. There were significant differences in preoperative carcinoembryonic antigen, preoperative CA19-9, preoperative CA72-4, preoperative albumin, tumor diameter, neoadjuvant therapy, R 0 resection, combined organ resection, scope of gastric resection, nerve and vessel infiltration, degree of tumor differentiation, pathological N staging, pathological TNM staging between early and late recurrence patients ( P<0.05). (2) Recurrence and metastasis of tumor. Among the 2 078 patients, 200 cases had local recurrence, 1 213 cases had hematogenous metastases, 392 cases had distant lymph node metastases, and 731 cases had peritoneal metastases. Among the 1 452 early recurrence patients, 142 cases had local recurrence, 834 cases had hematogenous metastases, 289 cases had distant lymph node metastases, and 507 cases had peritoneal metastases. Among the 626 late recurrence patients, 58 cases had local recurrence, 379 cases had hematogenous metastases, 103 cases had distant lymph node metastases, and 224 cases had peritoneal metastases. One patient may have multiple forms of recurrence and metastasis. There was no significant difference in the above indica-tors between early and late recurrence patients ( χ2=0.13, 1.74, 3.40, 0.14, P>0.05). (3) Survival of patients after postoperative recurrence of gastric cancer. All 2 078 patients were followed up until death after recurrence, with a follow-up time of 31(range, 9?147)months. The 1-, 2-, 3-, and 5-year overall survival rates after recurrence were 33.5%, 17.2%, 10.1%, and 3.3% in early recurrence patients, versus 44.2%, 21.6%, 12.8%, and 5.8% in late recurrence patients, respectively, showing a significant difference in overall survival after recurrence between the two groups ( hazard ratio=0.84, 95% confidence interval as 0.76?0.92, P<0.05). (4) Analysis of influencing factors for early recurrence after gastrectomy for gastric cancer. Results of multivariate analysis showed that combined organ resection, total gastrectomy, pathological TNM staging as stage Ⅲ were independent risk factors for early recurrence after gastrectomy for gastric cancer ( odds ratio=1.31, 1.32, 1.34, 95% confidence interval as 1.01?1.70, 1.06?1.65, 1.05?1.71, P<0.05) and normal preoperative tumor markers, neoadjuvant therapy, R 0 resection were independent protective factors for early recurrence ( odds ratio=0.61, 0.50, 0.38, 95% confidence interval as 0.49?0.76, 0.35?0.72, 0.25?0.58, P<0.05). Conclusions:Compared with patients with late recurrence after gastric cancer surgery, patients with early recurrence have a poor prognosis, in which liver metastases is more common. Combine organ resection, total gastrectomy, pathological TNM staging as stage Ⅲ are independent risk factors for early recurrence, and normal preoperative tumor markers, neoadjuvant therapy, R 0 resection are independent protective factors for early recurrence after gastrectomy for gastric cancer.

Objective:To analyze the prognostic factors of patients with liver cirrhosis and portal vein thrombosis (PVT), and to construct a prognostic prediction model based on machine learning methods.Methods:The clinical data of 388 patients with liver cirrhosis and PVT admitted to the Fifth Medical Center of PLA General Hospital from January 2022 to April 2024 were retrospectively collected and analyzed, including 243 males and 145 females, aged (56.9±10.9) years. A total of 388 patients were randomly divided into the training set ( n=310) and the testing set ( n=78) in a 4∶1 ratio. The Boruta algorithm was used to screen the key features in the training set, and then four machine learning algorithms, including random forest, support vector machine, generalized linear model and Bayesian, were used to establish a survival prediction model. Model performance was evaluated by the receiver operating characteristic (ROC) curves of the test set and the training set. The patients were followed up for 1 year for survival. Sort the importance of features based on the SHAP value. Results:There were 250 patients (80.6%) who survived and 60 (19.4%) who died. The model for end-stage liver disease score, total bilirubin, serum creatinine, prothrombin time, international normalized ratio, D-dimer, white blood cell count, severe ascites ratio, and Child-Pugh grade C ratio of liver function in the death group were higher than those in the survival group, and the red blood cell count and hematocrit were lower than those in the survival group, and the differences were statistically significant (all P<0.05). The areas under the ROC curve for predicting survival by random forest, support vector machine, generalized linear model and Bayesian model were 0.92, 0.78, 0.81 and 0.71 in the training set, and the area under the ROC curve in the testing set were 0.81, 0.72, 0.67 and 0.68, respectively. Random forest had the best prediction performance, with an accuracy of 81.7%, a sensitivity of 84.6%, and a specificity of 76.9% in the testing set. In the analysis of the importance of characteristic parameters of the random forest model, total bilirubin, red blood cells, hematocrit, serum creatinine, ascites classification, etc. had a relatively high contribution to the model. Conclusion:In the survival prediction model of patients with liver cirrhosis and PVT based on machine learning algorithm, the random forest model had high prediction performance, and total bilirubin may be the most important factor affecting the survival prognosis of patients.

Objective:To analyze the predictive value of the preoperative lymphocyte-to-monocyte ratio (LMR) for the postoperative prognosis of distal cholangiocarcinoma.Methods:Clinical data of 197 patients with distal cholangiocarcinoma undergoing radical surgery at Beijing Chaoyang Hospital Affiliated to Capital Medical University from January 2011 to December 2023 were retrospectively analyzed, including 118 males and 79 females, aged (65.1±10.2) years. Patients were randomly divided into the training set ( n=137) and the test set ( n=60) in a ratio of 7∶3. The training set is used to construct the nomogram, and the test set is used to evaluate the nomogram. Multivariate analysis of the influencing factors of long-term survival after surgery for distal cholangiocarcinoma was conducted using Lasso regression and Cox regression. And based on the results of multiple factors, a nomogram for predicting the postoperative prognosis of distal cholangiocarcinoma was constructed. The receiver operating characteristic (ROC) curve, conformance index, calibration curve and decision curve were used to analyze and evaluate the predictive efficacy of the model. Results:Lasso regression screening showed that smoking history, preoperative LMR, preoperative total bilirubin, preoperative carbohydrate antigen (CA) 19-9, intraoperative blood loss, tumor differentiation degree, T staging of tumor, portal vein system invasion, nerve invasion and lymph node metastasis were risk factors affecting the long-term survival after surgery (all P<0.05). Multivariate Cox regression analysis showed that preoperative LMR, CA19-9, T staging of tumor, portal vein system invasion and lymph node metastasis were the influencing factors for long-term survival after surgery for distal cholangiocarcinoma. Based on the above factors, a nomogram for predicting the postoperative prognosis of distal cholangiocarcinoma was constructed. The areas under the ROC curves of this nomogram for predicting 3-year postoperative survival in the training set and the test set were 0.806 (95% CI: 0.719-0.893) and 0.811 (95% CI: 0.696-0.927), respectively. The consistency indices of the training set and the test set were 0.730 (95% CI: 0.678-0.783) and 0.714 (95% CI: 0.637-0.790), respectively. The calibration curves of the model in the training set and test set shows that the model fits well in both sets. The decision curve analysis (DCA) shows that the model has good clinical predictive efficacy in both sets. When the threshold range in the training set is between 10% and 84% and in the test set is between 18% and 82%, the model can bring benefits in predicting postoperative prognosis. Conclusion:The preoperative LMR level is one of the influencing factors for the postoperative prognosis of patients after surgery for distal cholangiocarcinoma. LMR-based model can effectively predict postoperative prognosis of patients with distal cholangiocarcinoma.

Aim To study the effects of whole herb of Prunella and its active components on the malignant progression of breast cancer and its mechanism.Meth-ods Breast cancer transplantation tumor model was constructed and randomly divided into the model group,low,medium and high dose group of whole herb of Prunella(0.1,0.2,0.4 g·mL-1 by gavage)and paclitaxel(10 mg·kg-1 by intraperitoneal injection),which was administered by gavage every day,and the tumor tissues were collected after 28 days of interven-tion.The weight,tumor volume and mass of nude mice in each group were detected,HE staining was used to observe the morphology of breast cancer tumor tissues,and immunohistochemical staining was used to observe the proliferation of cell-cycle regulatory protein-67(Ki-67)and cytokeratin 17(CK17)in breast cancer tumor tissues.The cellular experiments were performed by u-sing different concentrations of the ethyl acetate extract of the whole herb of Prunella in breast cancer MDA-MB-231 cells for 24 h.The proliferation of MDA-MB-231 cells and the effects on the cell cycle and apoptosis of MDA-MB-231 cells were detected by using the CCK-8 assay,the cell cycle flow and the apoptotic cell flow.Western blot was used to detect the effect of ethyl ace-tate extract of whole herb of Prunella on the expression of apoptosis-related proteins in breast cancer MDA-MB-231 cells.UPLCQ-TOF MS/MS was used to detect the chemical compositions of the ethyl acetate extract of Prunella whole herb.Results The whole herb of Pru-nella had no significant effect on the growth of nude mice(P＞0.05);it could significantly inhibit the growth of transplanted tumors in nude mice with human breast cancer(P＜0.05);the results of HE staining showed that the cells in the tissues appeared to be rela-tively sparse with the increase of the dose of Prunella and had different degrees of nuclear consolidation and deep staining of nuclei and the apoptosis of the tumor cells increased;the metastasis of tumor cells to the liv-er and lungs was inhibited,when compared with that in the model group.Compared with the model group,the low,medium and high groups of Prunella had no signif-icant effect on the liver index,while the spleen index was significantly reduced(P＜0.05);the expression of Ki-67 and CK17 was reduced.The ethyl acetate ex-tract of the whole herb of Prunella could inhibit the proliferation of MDA-MB-231 cells in breast cancer(P＜0.01);the results of flow cytometry showed that,with the increase of the concentration of the ethyl ace-tate extract of the whole herb of Prunella,the proportion of S-phase cells in the MDA-MB-231 cells significantly increased,and the proportion of G0/G1-phase cells sig-nificantly decreased,while the proportion of G2-phase cells did not change significantly(P＜0.01);Western blotting was not affected in the low,medium and high groups,and the spleen index significantly decreased(P＜0.05);the expression of Ki-67 and CK17 was re-duced;the results of Western blot showed that the eth-yl acetate extract of the whole herb of Prunella promo-ted the expression of Bax,cleaved caspase-3,cleaved caspase-9 proteins,and inhibited the expression of Bcl-2,caspase-3,caspase-9,cyclinA2,and CDK2 proteins(P＜0.05,P＜0.01).The acetic acid of the whole herb of Prunella ethyl ester extract identified a total of 51 compounds.Conclusions The whole herb of Pru-nella can inhibit the growth of breast cancer in nude mice transplanted with tumors,promote the apoptosis of tumor cells,inhibit the proliferation of breast cancer MDA-MB-231 cells,inhibit the metastasis of tumor cells to the liver and lungs,protect the liver and spleen,and reduce the expression of the value-added markers Ki-67 and CK17 in tumor tissues,and the ef-fective ingredient of the whole herb,the ethyl acetate extract,can induce apoptosis.The mechanism may be related to the down-regulation of cyclinsA2,CDK2,Bcl-2,caspase-3,caspase-9 and up-regulation of Bax,cleaved caspase-3,cleaved caspase-9 protein expres-sion.

Objective:To analyze the prognostic factors of patients with liver cirrhosis and portal vein thrombosis (PVT), and to construct a prognostic prediction model based on machine learning methods.Methods:The clinical data of 388 patients with liver cirrhosis and PVT admitted to the Fifth Medical Center of PLA General Hospital from January 2022 to April 2024 were retrospectively collected and analyzed, including 243 males and 145 females, aged (56.9±10.9) years. A total of 388 patients were randomly divided into the training set ( n=310) and the testing set ( n=78) in a 4∶1 ratio. The Boruta algorithm was used to screen the key features in the training set, and then four machine learning algorithms, including random forest, support vector machine, generalized linear model and Bayesian, were used to establish a survival prediction model. Model performance was evaluated by the receiver operating characteristic (ROC) curves of the test set and the training set. The patients were followed up for 1 year for survival. Sort the importance of features based on the SHAP value. Results:There were 250 patients (80.6%) who survived and 60 (19.4%) who died. The model for end-stage liver disease score, total bilirubin, serum creatinine, prothrombin time, international normalized ratio, D-dimer, white blood cell count, severe ascites ratio, and Child-Pugh grade C ratio of liver function in the death group were higher than those in the survival group, and the red blood cell count and hematocrit were lower than those in the survival group, and the differences were statistically significant (all P<0.05). The areas under the ROC curve for predicting survival by random forest, support vector machine, generalized linear model and Bayesian model were 0.92, 0.78, 0.81 and 0.71 in the training set, and the area under the ROC curve in the testing set were 0.81, 0.72, 0.67 and 0.68, respectively. Random forest had the best prediction performance, with an accuracy of 81.7%, a sensitivity of 84.6%, and a specificity of 76.9% in the testing set. In the analysis of the importance of characteristic parameters of the random forest model, total bilirubin, red blood cells, hematocrit, serum creatinine, ascites classification, etc. had a relatively high contribution to the model. Conclusion:In the survival prediction model of patients with liver cirrhosis and PVT based on machine learning algorithm, the random forest model had high prediction performance, and total bilirubin may be the most important factor affecting the survival prognosis of patients.

Objective:To analyze the predictive value of the preoperative lymphocyte-to-monocyte ratio (LMR) for the postoperative prognosis of distal cholangiocarcinoma.Methods:Clinical data of 197 patients with distal cholangiocarcinoma undergoing radical surgery at Beijing Chaoyang Hospital Affiliated to Capital Medical University from January 2011 to December 2023 were retrospectively analyzed, including 118 males and 79 females, aged (65.1±10.2) years. Patients were randomly divided into the training set ( n=137) and the test set ( n=60) in a ratio of 7∶3. The training set is used to construct the nomogram, and the test set is used to evaluate the nomogram. Multivariate analysis of the influencing factors of long-term survival after surgery for distal cholangiocarcinoma was conducted using Lasso regression and Cox regression. And based on the results of multiple factors, a nomogram for predicting the postoperative prognosis of distal cholangiocarcinoma was constructed. The receiver operating characteristic (ROC) curve, conformance index, calibration curve and decision curve were used to analyze and evaluate the predictive efficacy of the model. Results:Lasso regression screening showed that smoking history, preoperative LMR, preoperative total bilirubin, preoperative carbohydrate antigen (CA) 19-9, intraoperative blood loss, tumor differentiation degree, T staging of tumor, portal vein system invasion, nerve invasion and lymph node metastasis were risk factors affecting the long-term survival after surgery (all P<0.05). Multivariate Cox regression analysis showed that preoperative LMR, CA19-9, T staging of tumor, portal vein system invasion and lymph node metastasis were the influencing factors for long-term survival after surgery for distal cholangiocarcinoma. Based on the above factors, a nomogram for predicting the postoperative prognosis of distal cholangiocarcinoma was constructed. The areas under the ROC curves of this nomogram for predicting 3-year postoperative survival in the training set and the test set were 0.806 (95% CI: 0.719-0.893) and 0.811 (95% CI: 0.696-0.927), respectively. The consistency indices of the training set and the test set were 0.730 (95% CI: 0.678-0.783) and 0.714 (95% CI: 0.637-0.790), respectively. The calibration curves of the model in the training set and test set shows that the model fits well in both sets. The decision curve analysis (DCA) shows that the model has good clinical predictive efficacy in both sets. When the threshold range in the training set is between 10% and 84% and in the test set is between 18% and 82%, the model can bring benefits in predicting postoperative prognosis. Conclusion:The preoperative LMR level is one of the influencing factors for the postoperative prognosis of patients after surgery for distal cholangiocarcinoma. LMR-based model can effectively predict postoperative prognosis of patients with distal cholangiocarcinoma.

Aim To establish and evaluate an alternative meth-od for detecting skin sensitization of cosmetics based on local lymph node assay using bromodeoxyuridine(BrdU)with flow cytometry(FCM).Methods(1)25％hexyl cinnamic alde-hyde(HCA)was chosen as a positive control with an acetone:olive oil(4∶1,V/V,AOO)mixture as a vehicle control for the experiment.The dorsal sides of both ears of mice were treated with test solutions on day 1,day 2,and day 3.Brdu solution was injected inter-peritoneally on day 5.On day 6,the bilateral ears and mandibular lymph nodes were excised,and the number of Brdu positive cells was measured by flow cytometry.The stim-ulation index(SI)was calculated to identify whether it was ≥3,in order to establish the method of LLNA:Brdu-FCM.(2)BrdU-FCM test was conducted using a blind method with the fif-teen reference substances listed in OECD TG429 whose skin sensitization potentials were known.The test substances were dissolved in AOO,N,N-dimethylformamide(DMF)or dimeth-yl sulfoxide(DMSO)at three different concentrations.Tests were performed the same as above.SI and EC2.7 were calculat-ed to evaluate whether the test substance was categorized as a skin sensitizer.The reliability and accuracy of the method were validated by comparing the classification of test substances with that in OECD TG429.Results The SI for 25％HCA was 3.9,showing positive in the skin sensitization test.It demonstrated that the LLNA:Brdu-FCM test method was properly implemen-ted.Nine test substances(2,4-dinitrochlorobenzene,4-pheny-lenediamine,cobalt chloride,2-mercaptobenzothiazole,hexyl-cinnamaldehyde,eugenol,phenyl benzoate,cinnamic alcohol,imidazolidinyl urea)were positive,and six test substances(methyl methacrylate,chlorobenzene,isopropanol,lactic acid,methyl salicylate,salicylic acid)were negative.The method was evaluated with sensitivity of 90％,specificity of 100％,positive prediction rate of 100％,negative prediction rate of 83％,false positive rate of 0％,false negative rate of 17％and accuracy of 93％.The LLNA:BrdU-FCM assay could correctly categorize the test substances that were skin sensitizers or non-sensitizers.Conclusion The LLNA:BrdU-FCM assay appears to be a relia-ble predictor of skin sensitization protential of chemicals,and it is expected to an alternative method for identifying skin sensitization as a supplementary in safety evaluation of cosmetic ingredient.

To formulate an expert consensus on the principles of preoperative hair removal and provide scientific guidance for standardized removal of hair before surgical procedures so as to reduce the incidence of surgical site infections.METHODS Led by the Hospital Management Institute of National Health Commission of the People's Republic of China,this consensus was reached with the joint efforts from the expects of relevant fields such as surgeries,interventional therapies,nursing,and infection prevention and control.The consensus facilitates the classification and evaluation of literatures by following the evidence grade formulated by Oxford Evidence-based Medicine Center and focuses on the association of preoperative hair removal with surgical site infection,it reaches the evidence grade of expert consensus and recommendation intensity by integrating with discussions on meetings and clinical experience of the expects from relevant fields.RESULTS A total of 6 items of consensus were reached by summarizing the latest evidence on the aspects including the indications for preoperative hair removal,tools,range,timing and places.CONCLUSION The consensus,to some extent,make supplements to and complete the exiting regulations and standards.It provides guidance for the medical institutions to carry out the preoperative hair removal.

Objective To develop a novel type of transparent simulation manikin as a surgical training model to meet the surgical treatment demand on the medical train.Methods A transparent manikin was developed with the steps of basic data collection,motherboard design and manufacture and module production and assembly.Firstly,basic data collection was carried out with reference to standardized human anatomy and parameters.Secondly,some software such as UG NX7.5 was used to construct the motherboard of the manikin.Finally,module production and assembly were performed with the materials of acrylic,transparent rubber,silicone and hydrogel and the technology of silicone infusion.Results The transparent manikin developed had its anatomy structure close to that of the real body and high visuality for its internal and external components,which simulated a variety of war wounds and thus could be integrated with the surgical training scenarios on the medical train effectively.Conclusion The transparent manikin developed is characterized by high visuality,modularity and blood flow,and meets the demands for surgical training on the medical train.[Chinese Medical Equipment Journal,2025,46(6):111-115]