Objective To strengthen the capability of emergent supply in field medical point.Methods The common application program was designed by using PowerBuilder.The database program was Oracle.Results The assistant conduction and management of information were realized including the information of staff,war materials,equipment,wounded soldiers in the field medicine.Conclusion Information management system in field hospital can rapidly and accurately provide all kinds of information for users.It can be extensively applied in all levels of field hospitals.

Objective: To modify traditional prognostic model for patients with ER/PR+, HER2- breast cancer to meet the actual requirements in current clinical practice. Methods: 335 patients with ER/PR+, HER2- breast cancer, who were admitted in Department of Breast Surgery, Shanghai Huangpu Center Hospital from January 2009 to December 2009, were enrolled in this study. 97 variables were incorporated into the model, using SCAD variable selection method, after fully considering whether covariates existing a log-linear relationship, reasonable determination of the cut-off value of the covariates in non-logarithmic linear relationship (piecewise linear relationship) and collinear and interaction, then we set up a new Cox regression prognostic model for traditional ER/PR+, HER2-type breast cancer patients with traditional immunohistochemical indicators, and further establish its nomogram model. On this basis, a nomogram of the survival probability of 1-, 3-, and 5- years after surgery was established; The discrimination and calibration of model were compared to evaluate the predictive ability of the model. Results: The Cox regression model shows that the prognosis of patients are associated with the histologic grade, lymph node metastasis, Ki67, PR and age etc. Among them, the histologic grade and lymph node metastasis have log-linear relationship with prognosis; Ki67, PR and age have non-log-linear relationship with prognosis and the reasonable cut-off values are Ki67(60%)，PR（20%）and age（55 years old） . Area under the receiver operating characteristic (ROC) curve（AUC）of this Cox model for 1-, 3- and 5- year survival after surgery are all above 0.85, indicating high discrimination. The Grønnesby-Borgan goodness-of-fit test statistics of this model is 1.37 with P>0.05, indicating good calibration. Conclusion: The modified nomogram.could accurately, directly and effectively predict the survival probability of patients, which may exert good guidance for the clinical practice for patients with breast cancer.

The condition of patients with severe traumatic brain injury (sTBI) complicated by corona virus 2019 disease (COVID-19) is complex. sTBI can significantly increase the probability of COVID-19 developing into severe or critical stage, while COVID-19 can also increase the surgical risk of sTBI and the severity of postoperative lung lesions. There are many contradictions in the treatment process, which brings difficulties to the clinical treatment of such patients. Up to now, there are few clinical studies and therapeutic norms relevant to sTBI complicated by COVID-19. In order to standardize the clinical treatment of such patients, Critical Care Medicine Branch of China International Exchange and Promotive Association for Medical and Healthcare and Editorial Board of Chinese Journal of Trauma organized relevant experts to formulate the Chinese expert consensus on clinical treatment of adult patients with severe traumatic brain injury complicated by corona virus infection 2019 ( version 2023) based on the joint prevention and control mechanism scheme of the State Council and domestic and foreign literatures on sTBI and COVID-19 in the past 3 years of the international epidemic. Fifteen recommendations focused on emergency treatment, emergency surgery and comprehensive management were put forward to provide a guidance for the diagnosis and treatment of sTBI complicated by COVID-19.