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Objective:To investigate the clinical significance and correlation between blood glucose variability and cognitive impairment in elderly patients with metabolic syndrome.Methods:A total of 80 elderly metabolic syndrome patients and 50 healthy controls in Chinese People′s Armed Police Corps Hospital in Sichuan Province from December 2017 to March 2019 were selected as study group and control group respectively, and the difference of general data and biochemical indicators between two groups were compared. The cognitive function of the metabolic syndrome patients was measured by Montreal cognitive assessment scale (MoCA) at admission. The patients were divided into cognitive dysfunction group and normal cognition group according to MoCA score. The glycemic variability was detected by 72-h dynamic monitoring of blood glucose started within 24 h after admission, and the difference of average blood glucose (Glu Ave), standard deviation of glucose (Glu SD), mean amplitude of glycemic excursions in 24 h (MAGE), glycemic index (GLI), glucose variability (Glu CV) and other indicators between cognitive dysfunction group and normal cognition group were also compared. Results:The levels of body mass index (BMI), systolic blood pressure (SBP), diastolic blood pressure (DBP), fasting plasma glucose (FPG), triglyceride (TG), total cholesterol (TC), low density lipoprotein cholesterin (LDL-C), glycated hemoglobin (HbA 1c) were significantly increased in the study group [(25.48 ± 3.86) kg/m 2 vs. (22.83 ± 4.60) kg/m 2, (139.09 ± 10.17) mmHg (1 mmHg = 0.133 kPa) vs. (128.12 ± 7.8) mmHg, (73.00 ± 6.65) mmHg vs. (69.90 ± 5.99) mmHg, (9.12 ± 1.54) mmol/L vs. (4.92 ± 0.63) mmol/L, (2.17 ± 0.49) mmol/L vs. (1.70 ± 0.48) mmol/L, (5.32 ± 0.62) mmol/L vs. (4.61 ± 0.45) mmol/L, (3.05 ± 0.79) mmol/L vs. (2.31 ± 0.53) mmol/L, (7.89 ± 1.92)% vs. (5.30 ± 0.56)%], high density lipoprotein cholesterol (HDL-C) were significantly decreased in the study group [(0.98 ± 0.25) mmol/L vs. (1.19 ± 0.43) mmol/L] compared to the control group, and the differences were statistically significant ( P<0.05). The disease course, HbA 1c, Glu Ave, Glu SD, MAGE, GLI, Glu CV were markedly increased in the cognitive dysfunction group compared to those in the normal cognition group [(7.39 ± 1.87) years vs. (6.50 ± 1.52) years, (8.52 ± 2.21)% vs. (7.32 ± 1.21)%, (11.6 ± 3.35) mmol/L vs. (9.84 ± 2.19) mmol/L, (2.98 ± 0.54) mmol/L vs. (2.17 ± 0.47) mmol/L, (1.19 ± 0.46) mmol/L vs. (0.71 ± 0.28) mmol/L, 95.83 ± 19.77 vs. 86.94 ± 15.22, (27.96 ± 10.38)% vs. (23.02 ± 8.16)%]( P<0.05). Logistic regression model showed that disease course, HbA 1c, Glu Ave, Glu SD, MAGE, GLI, Glu CV were independent risk factors for the cognitive impairment in elderly patients with metabolic syndrome.In addition, there were positive correlation between MoCA score and disease course, HbA 1c, Glu Ave, Glu SD, MAGE, GLI, Glu CV ( P<0.05). Receiver operating characteristic curve demonstrated that GluSD>2.56 mmol/L [area under the curve (AUC)=0.897] or (and) MAGE>1.11 mmol/L (AUC = 0.821) may indicated the occurrence of cognitive impairment. Conclusions:Glu Ave, Glu SD, MAGE, GLI and Glu CV are all correlated with cognitive dysfunction in elderly patients with metabolic syndrome, and Glu SD and MAGE may be considered as a potential maker for prediction of cognitive dysfunction.
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Objective To compare the values of peripheral blood and tumor tissue Annexin A3 protein expressions for predictinge platinum resistance in ovarian epithelial cancer. Methods A total of 72 cases of newly treated ovarian epithelial cancer and undergoing platinum based chemotherapy after surgery,and completely followed up in this hospital from February 2010 to February 2012 were selected and divided into the platinum-sensitive group(54 cases) and platinum-resistant group(18 cases) according to the platinum resistance evaluation criteria. Peripheral blood Annexin A3 level was detected by chemiluminescence immunoassay. Tumor tissue Annexin A3 level was detected by adopting the immunohistochemical staining. The predictive value of peripheral blood and tumor tissue Annexin A3 for predicting platinum resistance was analyzed by drawing the ROC curve. Results The peripheral blood Annexin A3 level in the platinum-sensitive group was significantly lower than that in the platinum-resistant group,the difference was statistically significant(P<0.05), the positive rate of tumor tissue Annexin A3 expression in the platinum sensitivity group was significantly lower than that of platinum-resistant group(P<0.05). The median survival time in peripheral blood Annexin A3 low concentration group was significantly higher than that of high concentration group(31.2 months vs. 20.4 months, P<0.05). The median survival time in tissue Annexin A3 low expression group was significantly higher than that in the high expression group (35.2 months vs. 23.1 months P<0.05). The multivariate analysis showed that the level of Annexin A3 expression in serum and tumor tissue were the independent risk factor for affecting platinum resistance (all P<0.05). The area of curve (AUC) of peripheral blood Annexin A3 in predicting platinum resistance was 0. 821, which of tissue Annexin A3 in predicting platinum was 0. 763, peripheral blood Annexin A3 for predicting platinum resistance was significantly higher than tissue Annexin A3 (P< 0.05). Conclusion The expression levels of Annexin A3 protein in peripheral blood and tumor tissue are significantly increased in the patients with platinum resistant ovarian cancer,the predictive value of Annexin A3 protein in peripheral blood for platinum resistance is better than that of tissue Annexin A3 protein.
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OBJECTIVE To understand the bacterial spectrum distribution of sputum among the lung infection patients in our hospital and their resistance mechanisms for the reasonable clinical application of antibiotics to effectively prevent the occurrence of nosocomial infections. METHODS The pathogens isolated from the sputum of patients were identified with pathogen micro-biochemical identification code and the commonly used antibiotics were detected by drug sensitivity tests. RESULTS From 415 samples of the sputum,537 strains were detected out,from them Gram-positive cocci accounted for 70.8%,Gram-negative bacteria accounted for 28.1%,and Candida albicans accounted for 1.1%;MRSA was in 18 strains and ESBLs 6 strains. CONCLUSIONS It is important to sputum culturing for lung infection patients and determining the pathogen species and in their drug susceptibility results,the in order to rationally use the antibiotics and enhance the effectiveness of treatment.