Performance of clinical prediction models for chronic kidney disease among people with diabetes: external validation using the Canadian Primary Care Sentinel Surveillance Network (CPCSSN)

Three models displayed moderate to strong performance predicting CKD among CPCSSN patients. Next, these models should be evaluated for their impact on practitioner and patient outcomes when implemented in clinical practice. If successful, these models hold promise in achieving widespread adoption to help identify those at highest risk of CKD and guide therapies that may prevent or delay CKD and related sequelae (e.g., end-stage renal disease) among people with diabetes.