Objective: To illustrate the relationship between glucose variability and diabetic nephropathy complications in type 2 diabetics nephropathy patients, and analysis the related factors. Methods: A total of 373 type 2 diabetics nephropathy patients hospitalized in our hospital from Sep. 2015 to Jul. 2017 and with evaluation of diabetic nephropathy complications and at least twice complete 7-point blood glucose profile, blood glucose fluctuation was evaluated by standard deviation (SD) and patients were separated into four groups according to the SD quartiles (Q1sd–Q4sd) and analyzed the comparisons of variant indexes among blood glucose fluctuation groups. Quantitative data were analyzed by Kruskal-Wallis H analysis, Mann-Whitney U test was used for comparison and Spearman correlate analysis was used for correlations. Results: The patients in the Q1sd–Q4sd group of cystatin C, 24-hour urinary protein, uria α-microglobulin, hemoglobin A1c (HBA1C), fasting plasma C-peptide, C-peptide 1 hour, C-peptide 2-hour differences were statistically significant (all P<0.05). The differences of age, course of disease, blood pressure, cholesterol (TC), triglyceride (TG), urea nitrogen (BUN), creatinine (Cr), uric acid (UA), lactate dehydrogenase (LDH), low density lipoprotein (LDL-C), high density lipoprotein (HDL-C), glomerular filtration rate (GFR), urinary immunoglobulin (IGU) and urinary transferrin (TRF), microalbuminuria (MAU) were not statistically significant (all P<0.05). Mann-Whitney U analysis shows that with the increase of blood glucose fluctuation, the cystatin C and urine α-microglobulin gradually increased. Spearman analysis shows that SD is the positive related factor for cystatin C and urine α-microglobulin. The risk and categories of diabetic nephropathy complications in type 2 diabetic patients might increase with the increase of glucose variability. Conclusion: Blood glucose fluctuation can increase the progressions of diabetic nephropathy.