Purpose: To observe the clinical therapeutic effect in the treatment of infantile persisting diarrhea with the spine-pinching manipulation plus moxibustion.Methods: 110 cases of the sick children were randomly divided into 68 cases in the treatment group and 42 cases in the control group for comparative observation. The treatment group was treated by the spine-pinching manipulation and the control group was given the expectant treatment of western medicine. Results: The total effective rates were 97.0% and 81.0% in the treatment group and control group respectively, and the therapeutic effect in the treatment was better group than in the control group (P＜0.01). Conclusion: The treatment of infantile persisting diarrhea by the spine-pinching manipulation plus moxibustion could remarkably enhance the therapeutic effect and shorten the courses of the treatment.

Objective To investigate the prognostic value of serum P-cadherin( P-cad)level in patients with non-small cell lung cancer(NSCLC). Methods A total of 80 patients with NSCLC in Hanzhong 3201 Hospital of Shaanxi Province from January 2012 to December 2013 were selected as study subjects. The relationships between serum P-cad level and clinicopathological characteristics were analyzed. The Cox regres-sion analysis was used to analyze the risk factors affecting prognosis of NSCLC patients. The survival curve was drawn by Kaplan-Meier method and the difference test was carried out by log-rank method. Results There were significant differences in lymph node metastasis(χ2 = 14. 31,P < 0. 001),vascular invasion(χ2 = 5. 56, P = 0. 018)among NSCLC patients with different levels of serum P-cad. Multivariate Cox regression analysis showed that lymph node metastasis(HR = 0. 856,95％ CI:0. 702-0. 955,P = 0. 012),TNM stage(ⅢA HR =1. 315,95％ CI:1. 058-1. 991,P = 0. 024;ⅢB HR = 1. 448,95％ CI:1. 124-2. 215,P = 0. 011;Ⅳ HR =1. 569,95％ CI:1. 182-2. 441,P < 0. 001)and high level of serum P-cad(HR = 1. 815,95％ CI:1. 224-3. 562,P < 0. 001)were risk factors for progression-free survival in NSCLC patients,and lymph node metasta-sis(HR = 0. 755,95％ CI:0. 652-0. 915,P = 0. 022),poor differentiation(HR = 1. 622,95％ CI:1. 112-2. 015,P < 0. 001),TNM stage(ⅢA HR = 1. 335,95％ CI:1. 064-2. 014,P = 0. 011;ⅢB HR = 1. 489, 95％ CI:1. 129-2. 297,P < 0. 001;Ⅳ HR = 1. 622,95％ CI:1. 192-2. 501,P < 0. 001)and high level of serum P-cad(HR = 1. 677,95％ CI:1. 193-2. 668,P < 0. 001)were risk factors for overall survival of NSCLC patients. The results of Kaplan-Meier survival curve showed that the overall survival and progression-free survival of patients with high level of serum P-cad were shorter than those of patients with low level of serum P-cad(χ2 = 5. 18,P = 0. 015;χ2 = 5. 48,P = 0. 011). Conclusion High level of serum P-cad is closely related to poor prognosis in NSCLC patients.

Objective To investingate the effect of SGK1 expression level on the prognosis of patients with NSCLC,and provide new biological predictors for the prognosis assessment of patients with NSCLS.Methods One hundred and twenty patients with NSCLC received radical resection in Hanzhong 3201 hospital from Jan 2011 to Dec 2013 were selected.There were 75 males and 45 females,age (63.15 ± 16.44) years,age range 45-80 years.According to the results of immunohistochemical staining,the SGK1 cut-off value determined by the integral was determined,and NSCLC patients were divided into SGK1 high expression group (n =70) and SGK1 low expression group(n =50).The relationship between the expression of SGK1 and clinicopathological features (age,sex,smoking history,alcoholism history,BMI,tissue type,tumor diameter,T stage,N stage,TNM stage,differentiation degree) in NSCLC were analyzed,and the overall survival rate in NSCLC were also analyzed.Followup was carried out by telephone or patient admission.The follow-up period was up to June 1,2018.Chest X-ray and ultrasonography were reviewed every 3 to 6 months after operation,and enhanced CT or MRI were performed if the results were abnormal.The measurement data conforming to normal distribution were expressed by t test and showed by (Mean ± SD);the counting data were tested by x2 test;the 5-year overall survival rate was used as the endpoint event for univariate analysis,and the significant variables for univariate analysis were analyzed by COX risk ratio model for multivariate analysis.The cumulative survival curve was drawn by Kaplan-Meier method,and the difference was tested by Log-rank method.Results The expression level of SGK1 in tissues was not related to age,sex,smoking history,alcoholism,BMI,tissue type and tumor diameter (P ＞ 0.05),but it was related to T stage,N stage,TNM stage and differentiation degree (P ＜ 0.05).The univariate and multivariate COX risk ratio model showed that TNM stage and SGK1 expression were independent factors affecting the 5-year overall survival rate of NSCLC patients (P ＜ 0.05).The results of Kaplan-Meier survival curve showed that the 5-year overall survival rate in NSCLC with low expression of SGK1 was significantly higher than that in NSCLC with high expression of SGK1 (P ＜ 0.05).Conclusions The expression of SGK1 in tissues is closely related to the prognosis of patients with NSCLC.The high expression of SGK1 in tissues is not conducive to the prognosis of patients with NSCLC.

Background Aedes albopictus is the dominant mosquito species in residential areas in Shanghai. There are many types of small containers with accumulated water in residential areas, providing a large number of breeding environments for Aedes alpopicuts and leading to an increasing transmission risk of mosquito-borne diseases. Objective To use random forest to predict breeding of Aedes mosquitoes in small aquatic container habitat in two concentrated reconstruction communities of rural areas in Shanghai, and to understand associated influence of environmental factors on the breeding of Aedes mosquitoes in the process of urbanization.Methods Small-scale habitat surveys of Aedes mosquitoes were carried out in two suburb concentrated reconstruction communities (Community A and B) in Shanghai, and the environment where the habitat was located was recorded and analyzed in both communities. The habitat where eggs, larvae, or pupae were found was recorded as positive. Spatial weight matrix was applied on a household basis, and global Moran's I index was used to carry out spatial autocorrelation analysis on the small-scale habitat and positive habitat in the environment of the two communities. When Moran's I is greater than 0, it means that the data present a positive spatial correlation; when Moran's I is less than 0, it means that the data are spatially negatively correlated; when Moran's I is 0, the spatial distribution is random. Combining the results of P and Z values, we explored the spatial distribution characteristics of small-scale habitat and positive habitat in the community environment. Random forest algorithm in machine learning was used to classify and sort environmental-related factors, and predict the breeding of Aedes mosquitoes in small aquatic habitat; receiver operating characteristic (ROC) curve was used to carry out model fitting evaluation. Results The environmental factors including building location (χ²=23.35, P<0.001), open space (χ²=8.83, P=0.003), and having trees (χ²=11.02, P=0.001) had a significant impact on the positive rate of small-scale habitat. The results of spatial characteristics analysis showed that the global Moran's I index of small-scale habitat was −0.092 (Z=−1.09, P=0.274) in Community A and 0.034 (Z=0.52, P=0.602) in Community B, and the global Moran's I index of positive habitat was −0.092 (Z=−1.14, P=0.255) in Community A and 0.070 (Z=0.95, P=0.342) in Community B. Since the P values of Community A and B were greater than 0.1 and the Z values were between −1.65 and 1.65, for both small-scale habitat and positive habitat the spatial characteristics were randomly distributed and no significant spatial aggregation was found. In the fitted random forest algorithm classification prediction model with the top 10 characteristic factors of importance, the area under curve (AUC) value was 0.95, and the prediction fitting effect was satisfactory. The results of classification and sorting indicated that counts of household small-scale habitat and positive habitat were the most important factors for breeding. Conclusion The random forest model constructed by environmental factor indicators can be used to predict the breeding situation of Aedes mosquitoes in small-scale aquatic habitat, and provide a basis for scientific prevention and control of mosquito breeding for the target area.