Objective To establish an assessment model of financial risk exposure for the county-levelpublic hospitals in Inner Mongolia Autonomous Region,which can be used to assess the risk exposure of the hospital in question,and as decision making reference for their financial management and risk prevention and control.Methods Using indicators standardized methods and entropy method to process 1 5 financial indicators (quantitative indicators and qualitative indicators )for the 20 public hospitals,and using the gray clustering method to assess financial risk exposure.Results 70% of the county-level public hospitals are faced with less financial risks,while four of them need to pay close attention,and two have large loopholes pending solution.Conclusions Entropy-Gray clustering methods can complement each other,as found in the study.This study proves its significance,and health authorities should establish their long-term financial risk control mechanisms.

Objective To investigate the relationship of preoperative level of serum anterior gradient 2 (AGR2)with clinicopathological features and prognosis of patients with prostate cancer. Methods The serum levels of AGR2 were detected by ELISA in 72 patients with prostate cancer, 30 patients with benign prostatic hyperplasia (BPH) and 20 healthy controls. The receiver operating characteristic (ROC) curve was drawn to determine the optimal cut-off value of clinical diagnosis, and to analyze the diagnostic value of serum AGR2 in prostate cancer. Kaplan-Meier method was used to plot the survival curve. Log-rank test was used to analyze the difference of survival time between the two groups. The effect of AGR2 on the prognosis of prostate cancer patients was analyzed by Cox regression. Results The level of serum AGR2 in prostate cancer group was obviously higher than those in BPH group and health control group (t=4.441, t=5.285, both P<0.01).Serum AGR2 level was correlated with Gleason score,tumor stage, lymph node metastasis and preoperative PSA level (F=11.343, F=9.613, t=3.882, t=7.514, all P<0.01). The area under the ROC curve(AUC) of AGR2 was 0.803(95%CI 0.726-0.880,P=0.000), when the cut-off value was 17.25 ng/ml, the sensitivity rate was 63.9%, specificity rate was 80.0%. Kaplan-Meier survival analysis showed that the survival rate in low AGR2 expression group was significantly higher than that in high AGR2 expression group (χ 2=5.565, P=0.018). Cox regression analysis showed that AGR2 was an independent risk factor for prostate cancer patients (HR=5.412, 95%CI 1.143-25.624, P=0.033). Conclusions The elevated level of serum AGR2 is related with tumor progression in prostate cancer. It may be a potential marker for predicting prognosis of patients with prostate cancer.

Objective: To investigate the health effects of air pollution on elementary school students with the indicator of absenteeism caused by respiratory symptoms and diseases, and to provide a reference for improving their physical health. Methods: Absenteeism, air pollutants, and meteorological data during Sep. 2015 to Jun. 2017 in Pudong, Shanghai were collected. Generalized additive model was used to estimate the effects of air pollution on students’ absenteeism caused by respiratory symptom and diseases, time trends, day of week and meteorological factors were controlled. Results: Totally 47 723 person-days of elementary school students’ absenteeism caused by respiratory symptoms and diseases were recorded during Sep.2015 to Jun. 2016 in Pudong, Shanghai, and the absenteeism rate was 0.07%. The PM2.5 concentration on lag0 and SO2 concentration on lag2 showed the most significant effects, the elementary school students’ absenteeism raised for 1.43% (95%CI=0.25%~2.62%)and 6.79% (95%CI=0.25%~13.32%) respectively with every 10 μg/m3 increment of PM2.5 and SO2. Conclusion Air pollution in Pudong new area have made a influence on the elementary school student’s respiratory symptoms and absenteeism, and the prevention work of air pollution should be strenghthened.

Objective:To explore the abnormal brain metabolic pattern and connectivity in temporal lobe epilepsy (TLE) patients.Methods:18F-FDG PET images of 75 patients diagnosed as drug resistant unilateral TLE from January 2014 to December 2016 in Huashan Hospital of Fudan University were collected retrospectively, including 41 (22 males, 19 females, age (28.4±8.7) years) left TLE (LTLE) and 34 (13 males, 21 females, age (28.5±8.8) years) right TLE (RTLE). Forty-four healthy controls (24 males, 20 females, age (31.2±6.2) years) were also enrolled. The cerebral glucose metabolism in TLE patients and the controls were analyzed with statistical parametric mapping (SPM) 12. The brain connectivity based on glucose metabolism were analyzed with bilateral hippocampus and amygdala as seeds. Permutation test with 1 000 permutations was used to analyze data. Results:Compared to control group, in both LTLE and RTLE groups, hypometabolism was found in affected hippocampus, amygdala, insula and temporal gyrus and hypermetabolism was observed in health hippocampus, parahippocampal gyrus, amygdala, lenticular nucleus and thalamus. In addition, hypometabolism was also found in affected superior/middle frontal gyrus and hypermetabolism was also found in bilateral frontal-orbital gyrus, bilateral cerebellum, affected lenticular nucleus and thalamus in LTLE group. In both TLE groups, affected seeds exhibited increased connectivity with affected superior frontal gyrus, lingual gyrus, fusiform gyrus, superior/middle temporal gyrus and temporal pole (all P<0.05); affected seeds exhibited increased connectivity with health superior frontal gyrus ( P=0.005), lingual gyrus ( P=0.018) and transverse temporal gyrus ( P=0.016) in RTLE group in addition. Besides, affected seeds exhibited decreased connectivity with bilateral default mode network (DMN) (all P<0.05), affected caudate nucleus ( P=0.015) and health thalamus ( P=0.008), in a uniform distribution pattern in LTLE group, and with bilateral cerebral cortex in an irregular distribution pattern in RTLE group (all P<0.05). In LTLE group, health seeds exhibited more increased connections with superior ( P=0.005)/middle frontal gyrus ( P=0.042), health hippocampus ( P=0.038), parahippocampal gyrus ( P=0.019), amygdala ( P=0.038), posterior cingulate gyrus ( P=0.004), and bilateral fusiform gyrusand ( P=0.048) compared with RTLE group; while, in RTLE group, health seeds exhibited more decreased connections with health superior ( P=0.047), inferior frontal gyrus ( P<0.001), orbital frontal gyrus ( P<0.001) and rectus gyrus ( P=0.016) compared with LTLE group. Conclusion:Altered brain glucose metabolism and connectivity pattern are found and will elucidate the underlying metabolic pattern of TLE.

To develop a clinical diagnosis technique for bluetongue virus infection, we established serotype-specific methods to detect serotype 4 of bluetongue virus (BTV-4). Two monoclonal antibodies (mAbs) against VP2 protein of BTV-4, named 4A-1G7 and 4B-1B6, were used as competitive antibodies in the competitive enzyme-linked immunosorbent assays (C-ELISA). We detected 50 negative serum samples from sheep, goats and cattle by C-ELISA. The cut-off values of 4A-1G7 and 4B-1B6 mAbs were 49% and 40%, respectively. The results of the sensitivity, specificity and repeatability by detecting standard positive serum, were consistent with the general standard of Office International Des Epizooties. Furthermore, serum samples of BTV-4, BTV-18 and BTV-20 infection could be screened out through the combined C-ELISAs by 4A-1G7 and 4B-1B6 mAbs. Thus, this technique may diagnose BTV-4, BTV-18 and BTV-20 infections.

To confirm the B cell epitope recognized by monoclonal antibody (MAb) 3G11 of bluetongue virus type 8 (BTV-8) VP2 protein prepared in our laboratory, antigen epitopes recognized by 3G11 were screened and identified by phage display technology. KLLAT sequence was found by sequencing of blue spot after four rounds panning and 283LL284 of common short peptide sequence was obtained after comparison to amino acid sequence of BTV-8 VP2 protein. The peptide sequences KLLAA, KALAT, KLAAT and KLLAT were synthesized and identified by indirect ELISA. KLLAA and KLLAT bound strongly with supernatant and as cites of 3G11 cells and reacted specifically with BTV-8 positive standard sera. Further sequence analysis showed that amino acid sequence 283LL284 was conserved among different serotypes of BTV-8 strains, and283LL284 was the key amino acids of antigen epitopes recognized by 3G11. This study laid the foundation to establish type 8 BTV specific immunological detection methods.