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KLINRISK: Clinical Risk Prediction for Kidney Disease

The Klinrisk algorithm uses data from blood and urine tests including CBC, metabolic panel, and urine albumin to estimate the probability of kidney function loss of up to 40% or kidney failure in the next 5 years. The risk categories and recommendations are provided to alert providers to the risk of progression of CKD, complications of kidney disease and associated care pathways recommended by clinical practice guidelines.

Klinrisk algorithm is for clinical care and should be considered as an aid to help with clinical decision making and is not meant to replace a physician’s advice or diagnosis.

The laboratory tests required for the algorithm were performed at LifeLabs.

Navdeep Tangri, MD, PhD, FRCP (C)

Max Rady College of Medicine
Internal Medicine
Section of Nephrology
University of Manitoba

Dr. Tangri’s research program is clinical and translational and focused on improving clinical decision making for patients with advanced chronic kidney disease. He developed and validated the Kidney Failure Risk Equation (KFRE) to predict the need for dialysis in patients with CKD and is presently engaged in multiple validation and implementation exercises to increase the uptake of the KFRE.

In addition, Dr. Tangri is conducting a large prospective study on frailty, physical and cognitive function in advanced CKD, as well as leading a multinational randomized trial on the safety and efficacy of a new therapy in this population. He has published over 200 manuscripts and presented at multiple national and international scientific meetings and is a recipient of the CIHR New Investigator Award and a CIHR Foundation grant.