title: Determination of peripheral neuropathy prevalence and associated factors in Chinese subjects with diabetes and pre-diabetes - ShangHai Diabetic neuRopathy Epidemiology and Molecular Genetics Study (SH-DREAMS).
abstract: OBJECTIVE
  This study determined the prevalence and factors associated with peripheral neuropathy (PN) in subjects with diabetes mellitus, impaired glucose regulation (IGR), and normal glucose tolerance (NGT) in a community-based Chinese population.
  
  
  METHODS
  A total of 2035 subjects in Shanghai were classified as having NGT, IGR, or diabetes. All subjects underwent complete foot examination. PN was assessed according to the neuropathy symptom and neuropathy disability scores. Binary logistic regression was performed to analyze the contributions of factors to PN.
  
  
  RESULTS
  The prevalence of PN was 8.4%, 2.8%, and 1.5% in diabetes mellitus, IGR, and NGT subjects, respectively (P<0.05 for diabetes vs. NGT, and IGR). The subjects with known diabetes had the highest frequency of PN (13.1%). Among the subjects without diabetes, those with PN were older, had a higher waist circumference and 2-h postprandial plasma glucose levels, and were more likely to be hypertensive. Among the IGR subjects, other than age, the 2-h postprandial plasma glucose level was an independent factor significantly associated with PN. Meanwhile, among the subjects with diabetes, PN was associated with fasting plasma glucose, duration of diabetes, and decreased estimated glomerular filtration rate.
  
  
  CONCLUSIONS
  The prevalence of PN is slightly higher in individuals with IGR than that in individuals with NGT, but small fibre damage in IGR as the earliest nerve fibre deficit may be underestimated in our study. As an independent risk factor, postprandial plasma glucose level may be an important target for strategies to prevent or improve PN in IGR subjects.
authors.affiliation: Department of Endocrinology, Huashan Hospital, Fudan University, Shanghai, China.
authors.forename: Bin
authors.initials: B
authors.lastname: Lu
authors.forename: Ji
authors.initials: J
authors.lastname: Hu
authors.forename: Jian
authors.initials: J
authors.lastname: Wen
authors.forename: Zhaoyun
authors.initials: Z
authors.lastname: Zhang
authors.forename: Linuo
authors.initials: L
authors.lastname: Zhou
authors.forename: Yiming
authors.initials: Y
authors.lastname: Li
authors.forename: Renming
authors.initials: R
authors.lastname: Hu
mesh_terms: D001786:Blood Glucose / Q000378:metabolism; D002681:China / Q000453:epidemiology; D003924:Diabetes Mellitus, Type 2 / Q000097:blood / Q000453:epidemiology*; D003929:Diabetic Neuropathies / Q000097:blood / Q000453:epidemiology*; D005260:Female; D005919:Glomerular Filtration Rate / Q000502:physiology; D018149:Glucose Intolerance / Q000097:blood / Q000453:epidemiology; D006801:Humans; D007333:Insulin Resistance / Q000502:physiology; D008297:Male; D010523:Peripheral Nervous System Diseases / Q000097:blood / Q000453:epidemiology*; D011236:Prediabetic State / Q000097:blood / Q000453:epidemiology*; D015995:Prevalence
chemical_list: D001786:Blood Glucose