Abstract:Objecitve To explore the diagnostic value of combined detection of urine microalbumin/creatinine ratio (ACR), glycosylated hemoglobin (HbAlc) and high-sensitivity C-reactive protein (hs-CRP) in early diabetic nephropathy (DN) and to establish the individualized nomogram model for predicting the risk of DN. Methods Out of 101 patients with type 2 diabetes mellitus(T2DM) treated in Affiliated Hospital of North China University of Science and Technology from January 2018 to August 2019, there were 54 patients with simple T2DM (T2DM group) and 47 T2DM patients with diabetic nephropathy (DN group).In the same period, 50 healthy people were served as control group.ACR, HbAlc and hs-CRP detections alone or in combination were performed to evaluate their diagnostic performance in three groups.The nomogram prediction model of risk factors for DN was established by R software and verified using the bootstrap method. Results The levels of ACR, HbAlc and hs-CRP in DN group were significantly higher than those in T2DM group (P<0.05).The sensitivity and specificity of three indexes joint test were 87.2% and 87.0% and were respectively higher than individual test performance of the indicators.The consistency index of the nomogram predicting DN risk was 0.922, with a good degree of cellular differentiation.The calibration chart showed a good consistency between the predicted risk incidence and the actual risk incidence.The area under the ROC curve of combined detection for diagnosing DN was 0.943. Conclusion The combined detection of ACR, HbAlc and hs-CRP is of high value in the diagnosis of early diabetic nephropathy, and the nomogram model based on these three indicators has good accuracy and degree of differentiation, which provides a reliable basis for the early diagnosis and intervention of high-risk population with type 2 diabetic DN.