Objective To explore the relationship between preoperative nutritional status and postoperative incision healing in elderly patients undergoing hip arthroplasty for hip fractures and to construct a predictive model for poor postoperative incision healing by screening influencing factors.Methods A retrospective analysis was conducted on the clinical data of 148 elderly patients with hip fractures.Based on the assessment results of the Mini-nutritional Assessment Short-Form(MNA-SF),patients were divided into normal nutrition group(n=94)and malnutrition group(n=54).Postop-erative incision healing-related indicators were compared between the two groups.According to the postoperative incision healing status,patients were further divided into poor incision healing group(n=41)and good incision healing group(n=107).A Logistic regression model was used to analyze the influencing factors of postoperative incision healing in patients and to construct a comprehensive index.A receiver operating characteristic(ROC)curve was plotted to analyze the predictive value of the comprehensive index for postoperative incision healing in elderly patients with hip fractures.Results The malnutrition group had longer incision drying and healing times than the normal nutrition group,and a higher proportion of patients with incision skin necrosis and poor incision healing,with statistically significant differences(P＜0.05).Univariate analysis showed that body mass index(BMI),intraoperative blood loss,transferrin,preoperative albumin,lymphocyte count,prognostic nutritional index(PNI),and preoperative nutritional status were influencing factors for postoperative incision healing in patients(P＜0.05).Multivariate Logistic regression analysis revealed that high BMI and large intraoperative blood loss were independent risk factors for poor postoperative incision healing in patients(P＜0.05),while high transferrin,high lymphocyte count,high PNI,and nor-mal preoperative nutritional status were independent protective factors(P＜0.05).ROC curve anal-ysis showed that the areas under the curve for predicting poor postoperative incision healing by BMI,intraoperative blood loss,transferrin,lymphocyte count,PNI,preoperative nutritional status,and the comprehensive index were 0.654,0.670,0.634,0.669,0.678,0.652 and 0.818,respec-tively,with the comprehensive index having the highest predictive value.Delong test results indica-ted that there were statistically significant differences in the predictive efficacy among the predictive models of BMI-comprehensive index,intraoperative blood loss-comprehensive index,transferrin-comprehensive index,lymphocyte count-comprehensive index,PNI-comprehensive index,and pre-operative nutritional status-comprehensive index(P＜0.05).Conclusion Preoperative malnutri-tion,high BMI,and large intraoperative blood loss are closely associated with poor incision healing in elderly patients with hip fractures,while good nutritional and immune status are important protec-tive factors for incision healing.Constructing a predictive model by integrating multiple influencing factors can more accurately assess the risk of poor postoperative incision healing.

Purpose/Significance To understand the behavioral characteristics of patients with eye diseases,and to optimize the smart medical service strategies for eye diseases.Method/Process Guided by Anderson's medical service utilization model,the elec-tronic medical records(EMR)data of 17 602 patients in a hospital are collected,and chi-square test and pedigree clustering method are used to explore the behavioral characteristics of patients with eye diseases from four dimensions.The satisfaction of 702 patients with eye diseases on smart medical services is investigated,and the main influencing factors are analyzed by ordinal logistic regression.Re-sult/Conclusion According to the demographic characteristics of patients with eye diseases,registration methods,common ophthalmic diseases and incidence data,settlement methods,etc.,suggestions and strategies for smart medical services for eye diseases are put for-ward from four aspects:resource layout,technical compatibility,service mode and optimized settlement.

Background and purpose:Glioblastoma is one of the most common intracranial tumors, the morbidity and mortality are both high, and the molecular biological mechanism of the disease is still unclear. In this study, we detected the gene expression of tyrosine kinase receptor (TKR) pathway in primary glioblastoma(GBM) with low-density array, furthermore we analyzed the significance of the gene expression change. Methods:We detected 26 genes of RTK pathway in 10 primary GBM tissues and 9 normal brain tissues (gained from the decompression operation of brain trauma), and analyzed the different expressions of these two kinds of tissues by statistic method.Results:The Ct values of MAP2K1 and MAP2K4 in normal brain tissues were 1.6?1.7 and 2.2?2.1, the Ct values of MAP2K1 and MAP2K4 in primary GBM tissues were 3.9?1.5 and 5.0?2.0, and the Ct different values between normal brain tissues and primary GBM tissues of both genes were -2.3 and -2.8(P