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Approved Research

The prediction model of the development and progression of diabetic kidney disease

Principal Investigator: Mr Shiyu Zhou
Approved Research ID: 99967
Approval date: April 5th 2023

Lay summary

Although the management of type 2 diabetes mellitus (T2DM) has significantly improved during recent decades, patients with diabetes are still at substantial risk of kidney disease and the progressive loss of renal function, meaning that there is still a need for improvements in treatment strategies. Diabetic kidney disease (DKD) is a common microvascular complication in patients with T2DM, is the leading cause of end-stage kidney disease, and imposes enormous healthcare and financial burdens in both developed and developing countries.

The current project will aim to identify risk factors for DKD and establish a novel prediction model of the new-onset DKD and its progression. For the prevention and control of DKD, it is crucial to find the real causes of ongoing kidney damage. Given the limited knowledge currently existing with regard to risk factors for DKD, there is a great need for studies on this disease.

We hope this study would help us better define the burdens of DKD. This may help us identify some high-risk populations who are more vulnerable to incident DKD and rapid kidney function decline, and more effective preventive strategies can be targeted to these people. Additionally, this may stimulate further studies to investigate the mechanisms underlying the elevation in risk after diabetes.