| Type 2 diabetes mellitus(T2DM)describes a group of metabolic disorders characterised by high blood glucose levels.In recent years,with the improvement of people's living standards and changes in dietary structure,the incidence of diabetes has been increasing year by year and is gradually becoming younger.According to incomplete statistics,diabetes has become the third most non-infectious chronic disease that threatens human health.China has the largest number of patients with diabetes in the world.Persistent hyperglycemia cause extensive vascular damage,lead to various complications,and bring a serious burden on the family and society.Diabetic peripheral neuropathy(DPN)is one of the complications of type2 diabetes mellitus(T2DM),leading to the occurrence and development of foot ulcers,severely affecting the quality of life and causing serious Disability and mortality.Serum uric acid(SUA)is the final product of purine oxidative metabolism and is a risk factor for metabolic related diseases such as diabetes and obesity.With the in-depth study of uric acid,it is found that hyperuricemia(HUA)is closely related to the complications of diabetes.A large number of research results have confirmed that hyperuricemia has become an independent risk factor for diabetes and vascular complications.Nowadays,elevated blood uric acid is a risk factor for diabetic macroangiopathy,but its relationship with diabetic microangiopathy and diabetic peripheral neuropathy is not clear.The purpose of this study is to improve the awareness of prevention and treatment by analyzing the effects of different levels of uric acid on diabetic peripheral neuropathy and identifying and susceptible factors as early as possible.Objective:To determine whether there is some correlation between the increase in serum uric acid and the occurrence of peripheral neuropathy in type 2 diabetes,to find out the risk factors for peripheral neuropathy in type 2 diabetes,and to provide new ideas for the prevention and treatment of peripheral neuropathy in diabetes.Methods:A retrospective analysis of 361 T2DM patients admitted to the endocrinology department of the First Affiliated Hospital of Henan University from September 2018 to December 2019 in our hospital.All patients underwent electromyography to determine the incubation period,amplitude,and nerve conduction velocity.According to whether they have diabetic peripheral neuropathy,patients were randomly divided into: type 2 diabetes without peripheral neuropathy group is the T2DM group(control group);type 2 diabetes with peripheral neuropathy group is the DPN group(affected group).Collect general information about the patient's condition(gender,age,body mass index(BMI),blood pressure(BP),course of illness,smoking history,drinking history,medications before coming to the hospital)by asking the medical history,and record laboratory indicators including fasting blood glucose(FBG),Glycated hemoglobin(HbA1C),C-reactive protein(CRP),Aspartate aminotransferase(AST),Alanine aminotransferase(ALT),?-glutamyl transpeptidase(GGT),creatinine(Cr),urea nitrogen(BUN),blood uric acid level(UA),triglyceride(TG),total cholesterol(TC),high density lipoprotein(HDL),low density lipoprotein(LDL),urine microalbumin(m-ALB),?2 microglobulin(?2MG),Nacetyl?D glucosidase(NAG);All data were statistically analyzed using SPSS 26.0 statistical software.Use statistical methods to describe the objects studied,.The measurement data are expressed as mean ± SD,and the measurement data are expressed as percentages.One-way analysis of variance,nonparametric test,chi-square test,Spearman correlation analysis,Meta-logistic regression analysis performed statistical processing on the data.Find the relationship between blood uric acid level and peripheral neuropathy in type 2 diabetes,and explore the risk factors of peripheral neuropathy in type 2 diabetes.Results:1.Among the 361 T2DM hospitalized patients,a total of 208 diabetic patients without peripheral neuropathy group(T2DM group);a total of 153 diabetic patients with peripheral neuropathy group(DPN group),the prevalence of DPN was 42.4%.2.There were differences in gender,disease duration,CRP,BMI,fasting insulin,insulin resistance index,Cr,SUA,FBG,HbA1 c,TG,HDL,?2 microglobulin and other indicators(P <0.05),which were statistically significant;There were no significant differences in age,smoking,drinking,systolic blood pressure,diastolic blood pressure,AST,ALT,GGT,BUN,TC,LDL,NAG,and urine microalbumin(P> 0.05),and there was no statistical significance.3.The blood uric acid level in the DPN group was significantly higher than that in the T2DM group.Compared with the T2DM control group,the incidence of HUA was higher in the DPN group.There was a difference between the two groups(P <0.05).4.The latency,amplitude and conduction velocity of sensory and motor nerves were significantly different at different uric acid levels(P <0.05).5.SUA is positively correlated with the latency of motor nerves and negatively correlated with amplitude and conduction velocity;SUA is positively correlated with latency of sensory nerves and negatively correlated with amplitude and conduction velocity.6.Logistic regression analysis found that there were statistically significant differences in the duration of diabetes,BMI,HbAlc,HDL,high uric acid and DPN(P <0.05).There were no significant differences in gender,CRP,fasting insulin,insulin resistance index,and triglyceride between the two groups(P> 0.05).7.The course of diabetes,BMI,HbAlc,and high uric acid are positively correlated with DPN,which are their risk factors,and HDL are negatively correlated,which are their protective factors.Conclusion:1.Hyperuricemia is closely related to type 2 diabetic peripheral neuropathy,and hyperuric acid increases the risk of type 2 diabetic peripheral neuropathy;2.Serum uric acid levels were positively correlated with the latency of motor and sensory nerves,and negatively correlated with amplitude and nerve conduction velocity;3.Logistic regression analysis showed that the duration of diabetes,BMI,HbAlc,and high uric acid were risk factors for peripheral neuropathy in type 2 diabetes. |
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