the pathological alterations in diabetes that result in microvascular complications are mostly dependent on platelets. Given that platelet indices are measures of platelet activity, they might be helpful predictors of diabetes complications. This study set out to assess diabetes patients' platelet indices and establish a correlation between them and diabetic kidney damage. In this case-control study, we included 78 patients who were classified into 3 groups: 26 participants made up the first group, which was a control group; 26 participants made up the second group, which was T2DM without DKD; and 26 participants made up the third group, which was T2DM with DKD. All subjects were submitted to estimation of platelet indices (platelet count: PLT, mean platelet volume: MPV, platelet distribution width: PDW, and plateletcrit: PCT). The study found that compared to non-diabetic controls, MPV, PDW was considerably greater in diabetics. When comparing diabetics with DKD to those without DKD. A statistically significant difference was seen in MPV, PDW between non-diabetics and diabetics with and without DKD. These results prove that diabetic kidney disease can be predicted by MPV and PDW biomarkers.