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Relevant Factor Analysis In Diabetic Peripheral Neuropathy

Posted on:2017-01-15Degree:MasterType:Thesis
Country:ChinaCandidate:Y HeFull Text:PDF
GTID:2284330488961598Subject:Endocrine and metabolic epidemiology
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Objective: This study focuses on the relevant factors and their correlation analysis of biochemical indicators, the oxidative stress, the duration, the level of non-specific inflammation on type 2 diabetic peripheral neuropathy, compare electrophysiological findings in DPN nerve patients, and analysis for clinical characteristics of nerve injury which displayed by NCV.Methods: sampling 100 cases of type 2 diabetes belong to the First Affiliated Hospital of Soochow University of Endocrinology during February 2015 to October 2015, including 53 patients with diabetes and DPN as the case group(29 males, 24 females, age range from 20 to 80 year-old, with an average age of 60.43 + 11.03 year-old) and 47 cases with diabetes as a control group(26 males, 21 females, age range 34 to 82 year-old, with an average age of 56.69 + 13.11 year-old). Comparing gender, age, duration, fasting plasma glucose(FPG), cholesterol(TC), triglyceride(TG), high density lipoprotein(HDL-C), low density lipoprotein(LDL-C), glycated hemoglobin(HbA1C), serum ferritin(SF) levels of high-sensitivity C-reactive protein(HsCRP) and amplitude of glycemic excursions(MAGE) between the two groups of and analyzing its correlation with DPN. Meanwhile researching nerve electrophysiology clinical characteristics of case group and control group and clinical features of nerve injury distribution of case group. In this study, the data is processed by SPSS 19.0 statistical software. All of the main statistical indicators use normality test, which the normal measurement data is represented by mean + standard deviation(?x+s); compare of means between two groups uses ‘t’ test; count data uses chi-square test; HbA1 C and GLU, TC, TG, HDL-C, LDL-C, SF, HsCRP, duration, age and mean amplitude of glycemic excursions(MAGE) correlation analyze by Pearson method; compare of rate uses x2 test; risk factors of DPN uses more Logsitic non-conditional regression analysis. ‘P <0.05’ illustrates that the difference has statistical significant, ‘P <0.01’ indicates that the difference has outstanding statistical significant.Results:(1) Comparison of age and BMI between DPN group and simple diabetic group has no significant difference(P> 0.05) using by two independent sample T-test comparison. The duration of DPN group is longer than that of diabetic group, the difference has statistically significant(P <0.01).(2) Through chi-square test, the gender constitution of patients with DPN group and no statistically significant compared by simple diabetes group(P> 0.05).(3) Comparison of HDL-C by independent sample T- test, DPN group is lower than diabetic group, the difference was statistically significant(P <0.05); FPG, TC, TG, LDL-C, HbA1 C, MAGE in DPN group are higher than those in diabetic group, the difference was statistically significant(P <0.05).(4) Application of Pearson correlation analysis Hb A1 C and biochemical indicators correlation showed that: HbA1 C has positive correlation with FPG, TC, TG, HsCRP, LDL-C, SF, BMI, MAGE(P <0.05), the correlation coefficients were 0.75, 0.2,0.28,0.32,0.3,0.37,0.32,0.46; and has negative correlation with age and HDL-C(P <0.05), correlation coefficients were-0.20,-0.24; and has no correlation with duration(P >0.05).(5) Comparison of SF and HsCRP levels by independent sample T- test, DPN group is higher than diabetic group, the difference was statistically significant(P<0.05).(6) In a merger of DPN as the dependent variable, line diabetes multivariate Logistic regression analysis shows that DPN has positive correlation with duration and MAGE(P <0.05), and has no significant correlation with other biochemical indicators(P> 0.05).(7) The chi-square test shows that when the duration of diabetes>10 years, the risk of DPN increases 11.244 times; when MAGE>4mmol/L, the risk of DPN increases 7.568 times.(8) Comparison of motor never between the two groups shows that the latency of ulnar nerve, median nerve, peroneal nerve in DPN group prolonged than simple diabetic group; amplitude of tibial nerve and peroneal nerve in DPN group is lower than the simple diabetic group; NCV of ulnar nerve, median nerve, tibial nerve and peroneal nerve in DPN gruop slows down than simple diabetic group, the difference was statistically significant(P<0.05).(9) Comparison of sensory nerve electrophysiological examination by independent sample t test, latency of median nerve and superficial peroneal never in DPN group prolonged than the simple diabetic group; NCV of ulnar nerve, median nerve and superficial peroneal nerve in DNP group slows down than simple diabetic group, the difference was statistically significant(P <0.05).(10) In DPN group, the abnormalities rate of sensory nerve is 67.92%, including 14 cases of ulnar nerve(26.42%), 19 cases of median nerve(35.85%), superficial peroneal nerve in 15 cases(28.30%); motor nerve abnormalities is 47.17% including the ulnar nerve in 10 patients(18.87%), the median nerve in 4 cases(7.55%), 14 cases of tibial nerve(26.42%), peroneal nerve in 11 patients(20.75%). Sensory nerve abnormalities is higher than the rate of motor nerve abnormalities, the difference is statistically significant(P <0.05).Conclusions:1. Patients with diabetic peripheral neuropathy has longer duration than other with diabetes. When the duration of diabetes>10 years, the risk of DPN increases 11.244 times.2. Patients with diabetic peripheral neuropathy has higher MAGE than other with diabetes. When MAGE>4mmol/L, the risk of DPN increases 7.568 times.3. FPG, TC, TG, LDL-C, HbA1 C, MAGE, SF, HsCRP in DPN group are higher than the diabetic group, HDL-C is lower than in the diabetic group. HbA1 C level has negative correlation with age and HDL-C. It means that younger patients has worse blood glucose control than elder patients.4. NCV in DPN patients slows down with varying degrees. Sensory nerve abnormality rate in DPN patients is significantly higher than the rate of motor nerve abnormality.
Keywords/Search Tags:Type 2 diabetes, diabetic peripheral neuropathy, blood glucose, nerve conduction velocity
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