Journal Club education method is widely used in resident training in foreign countries.Its function in neurosurgery clinical training is gradually focused on.This method will promote the mastery of new concept,new method and new technique by the residents,help them to form good reading habit and improve their ability to solve actual clinical problems.The application of Journal Club education method in neurosurgery clinical training in our country may have positive influence on the standardized training of clinicians and the spreading of evidenced-based medicine.

Tangdu hospital of the fourth military medical university explored the aim,method,critical points and effect for organizing a neurosurgical continuous education Journal club and summarized the key factors important for its successful organization and the improvement of its short-term and long-term educational effects in order to discover a Journal club education pattern which could satisfy the demand of for neurosurgical refresher doctors.Paying attention to these factors could better satisfy the demand of for neurosurgical refresher doctors,achieve their participating aims,promote their understanding of the advancing front of the discipline and improve their literature analyzing competence and problem solving ability.The wide application of continuous education Journal club is helpful to improve the level of neurosurgical continuing education in our country.

Objective To establish a rapid method to detect mutations in rpoB genes of rifampin-resistant Mycobacterium tubereulosis in dinical specimens using Real-time fluorescence PCR molecular beacon assay.Methods 174 strains of Mvcobacterium tuberculosis clinical isolates were analyzed using real-time fluorescence PCR molecular beacon assay foilowed with DNA sequencing while 12 strains of NTM and 4 strains of bacteria other than Mycobacterium tuberculosis were used as the contrast.Results Eighty-two 89.1 of 92 rifampin (RIF)-resistant strains and 3 of 82 RIF-sensitive strains were found to harbor mutation in the rpoB gene using real-time fluorescence PCR-molecular beacon assay.The specificity, sensitivity,and accuracy of this assay were 96.3%,89.1%,and 92.5%,respectively-Eithty-three of 92 RIF-resistant strains and 1 of 82 RIF-sensitive strains were found to harbor mutation in the rpoB gene using the direct DNA sequencing.The specificity,sensitivity,and accuracy of the direct DNA sequencing were 98.8,90.2%,and 94.2%,respectively.As compared with real-time PCR molecular beacon assay,171 of 174(98.3%)strains of myeobactefium tuberculosis clinical isolates had the salne results.Conclusion Real-time fluorescence PCR-molecular beacon assay can be used as a rapid screen method to detect RIF-resistant isolates.

Objective:To explore and analyze the influence of amyloid precursor protein (APP) protein high expression in brain glioma tissue on postoperative radiotherapy.Methods:Retrospective analysis was performed on 96 patients with surgically resected glioma admitted to the Department of Oncology, Affiliated Hospital of Jining Medical College from Feb. 2020 to Feb. 2022. Clinicopathologic data such as gender, age, tumor location, number of lesions, surgical resection, overall tumor burden reduction rate, radiotherapy dose, maximum lesion diameter of preoperative KPS score and Ki-67 proliferation index were collected, and 96 brain glioma tissue samples were collected.According to the effect of postoperative radiotherapy, the patients were divided into a good radiotherapy effect group (54 cases) and a poor radiotherapy effect group (42 cases), and the number, location, size, pathological grade and other clinical data of the two groups were compared. The expression level of APP in low-grade glioma (52 cases) and high-grade glioma tissue (44 cases) was detected by Western blot method. The clinicopathologic data of patients in the group with good radiotherapy effect and the group with poor radiotherapy effect were analyzed by single factor to find out the influencing factors of postoperative radiotherapy for patients with glioma. Multivariate Logistic analysis was used to analyze the relationship between APP protein expression and postoperative radiotherapy for glioma.Results:Among the 96 brain glioma patients, 56 cases had high expression of APP protein, with high expression rate of 58.33%. The high expression rate of APP protein in high grade gliomas was higher than that in low grade gliomas ( χ2=6.924, P < 0.05). Evaluation results of postoperative radiotherapy for 96 glioma patients showed complete remission was in 21 cases (21.88%), partial remission in 33 cases (34.38%), stable in 26 cases (27.08%) and progressive in 16 cases (16.67%), with an objective remission rate of 56.25% (54/96). Univariate analysis showed that the proportion of high grade glioma, maximum lesion diameter ≥6 cm, Ki67 proliferation index ≥10% and high expression of APP protein in the poor radiotherapy effect group was higher than that in the good radiotherapy effect group ( χ2=6.959, 9.423, 24.282, 37.481, P < 0.05). Multivariate Logistic regression analysis showed that the pathological grade of high-grade glioma ( OR=2.838, 95% CI: 1.501-5.366) and high expression of APP protein ( OR=3.089, 95% CI: 1.364-6.996) were independent risk factors for the effect of postoperative radiotherapy in patients with glioma ( P < 0.05) . Conclusions:APP protein is highly expressed in glioma tissues, and its expression increases with the increase of the pathological grade of glioma. APP protein high expression is an independent risk factor affecting the adverse effect of postoperative radiotherapy in glioma patients.

Purpose: Radiation-induced dermatitis (RD) is a common side-effect of therapeutic ionizing radiation that can severely affect patient quality of life. This study aimed to develop a risk prediction model for the occurrence of RD in patients with cervical carcinoma undergoing chemoradiotherapy using electronic medical records (EMRs). Methods: Using EMRs, the clinical data of patients who underwent simultaneous radiotherapy and chemotherapy at a tertiary cancer hospital between 2017 and 2022 were retrospectively collected, and the patients were divided into two groups: a training group and a validation group. A predictive model was constructed to predict the development of RD in patients who underwent concurrent radiotherapy and chemotherapy for cervical cancer. Finally, the model's efficacy was validated using a receiver operating characteristic curve. Results: The incidence of radiation dermatitis was 89.5% (560/626) in the entire cohort, 88.6% (388/438) in the training group, and 91.5% (172/188) in the experimental group. The nomogram was established based on the following factors: age, the days between the beginning and conclusion of radiotherapy, the serum albumin after chemoradiotherapy, the use of single or multiple drugs for concurrent chemotherapy, and the total dose of afterloading radiotherapy. Internal and external verification indicated that the model had good discriminatory ability. Overall, the model achieved an area under the receiver operating characteristic curve of .66. Conclusions The risk of RD in patients with cervical carcinoma undergoing chemoradiotherapy is high. A risk prediction model can be developed for RD in cervical carcinoma patients undergoing chemoradiotherapy, based on over 5 years of EMR data from a tertiary cancer hospital.

Objective To investigate the effect of humidex combined with mean temperature and relative humidity on the incidence of bacillary dysentery in Hefei. Methods Daily counts of bacillary dysentery cases and weather data in Hefei were collected from January 1, 2006 to December 31, 2013. Then, the humidex was calculated from temperature and relative humidity. A Poisson generalized linear regression combined with distributed lag non-linear model was applied to analyze the relationship between humidex and the incidence of bacillary dysentery, after adjusting for long-term and seasonal trends, day of week and other weather confounders. Stratified analyses by gender, age and address were also conducted. Results The risk of bacillary dysentery increased with the rise of humidex. The adverse effect of high humidex (90 percentile of humidex) appeared in 2- days lag and it was the largest at 4-days lag (RR=1.063, 95%CI:1.037-1.090). Subgroup analyses indicated that all groups were affected by high humidex at lag 2-5 days. Conclusion High humidex could significantly increase the risk of bacillary dysentery, and the lagged effects were observed.

Objective:To analyze the clinical and laboratory characteristics of acute myeloid leukemia (AML) patients with NPM1 mutation, and to explore the prognostic factors.Methods:A total of 77 AML patients with NPM1 gene mutation admitted to Hebei Yanda Ludaopei Hospital from May 1st 2012 to December 31st 2021 were enrolled in the study, including 34 male and 43 female patients. The median age was 40 (3, 68) years old. Patients were selected and divided into 4 groups according to the morphological FAB classification. There were 29 cases (37.7%) of M1 type, 13 cases (16.9%) of M2 type, 23 cases (29.9%) of M4 type, and 12 cases (15.5%) of M5 type. The clinical characteristics, bone marrow/peripheral blood cell morphology, immunophenotype, cytogenetics, molecular biology and overall survival of different groups were retrospectively analyzed, and the risk factors affecting the prognosis of AML were also explored. Cox multivariate regression was used to analyze the clinical influencing factors of survival and prognosis.Results:The white blood cell counts were highest in M4 and M5 patients and lowest in M2 patients, while no significant difference in the red blood cell, hemoglobin, and platelet counts( P>0.05). Morphologically, there were significant differences in the percentage of blasts and blasts with cup-like nuclei on bone marrow (BM) and peripheral blood (PB). The proportion of blasts in BM and PB was the highest in M1 and the lowest in M2 ( P<0.001). The positive rate of blasts with cup-like nuclei was the highest in M1 and the lowest in M5 of BM ( P<0.001), while the highest in M2 and the lowest in M5 of PB ( P=0.006). The scores of myeloperoxidase and chloroacetate esterase were all the highest in M1 and the lowest in M5 ( P<0.001, 0.001, respectively). In terms of molecular biology, the occurence rate of blasts combined with DNMT3A mutation was the highest in M4 and the lowest in M2 ( P=0.044), while those combined with FLT3-ITD mutation was the highest in M4 and the lowest in M5 ( P=0.002). In immunophenotype, there were significant differences in the expression positivities of seven antigens including HLA-DR, CD56, CD11c, CD15, CD14, CD96 and cMPO ( P<0.05). Multivariate COX regression analysis showed that no recurrence after treatment ( P<0.001), complete remission after treatment ( P=0.015) and transplantation ( P<0.001) were correlated with overall survival (OS). No recurrence after treatment ( P=0.033), transplantation ( P=0.027), no mutation of FLT3-ITD ( P=0.040), and hemoglobin concentration ( P=0.023) were associated with relapse-free survival (RFS). Survival analysis by Kaplan-Meier curve showed that there was no significant difference in survival time between the M1, M2, M4 and M5 groups in OS and RFS. Conclusion:There were significant differences in the white blood count, the percentage of blasts and blasts with cup-like nuclear morphology, cytochemical staining (MPO integration, CE integration and percentage of NAS-DCE), gene mutation (DNMT3A and FLT3-ITD) and immunophenotypes (HLA-DR, CD56, CD11c, CD15, CD14, CD96 and cMPO) between the four groups. The multivariate analysis revealed that no recurrence after treatment and transplantation were independent prognostic factors in NPM1 mut AML patients. On the other hand, FLT3-ITD mutation and hemoglobin concentration were associated with RFS and complete remission after treatment was associated with OS in the entire NPM1 mut cohort.

Purpose/Significance Through the establishment of a quality control system for electronic medical record(EMR)con-tent,the standardization and normalization of medical record writing is realized,and the quality of hospital medical record is improved.Method/Process The intelligent medical data center is built based on hospital medical data,and the knowledge base and rule base with tumor specialty characteristics are formed by combining natural language processing(NLP)and machine learning technology.The new quality control mode of"pre-audit,comprehensive coverage,process supervision and closed-loop management"of EMR is realized.Result/Conclusion After the application of the medical record quality control system based on NLP,the quality control coverage rate in-creased from 1%to 100%,and the rate of class A medical records increased to more than 96%,with good real-time and accuracy,providing a solid information foundation for the high-quality development of hospital medical records.