Share:
Peer-Reviewed Publication
Diabetes Care2026;49(1):92-98.January 1, 2026Journal Article

Baseline Risk and Longitudinal Changes in kidneyintelX.dkd and Its Association With Kidney Outcomes in the CANVAS and CREDENCE Trials.

Erik Moedt1, Steven G Coca2, Katherine Edwards3, Brendon L Neuen4, Clare Arnott4,5, Stephan J L Bakker6, Fergus Fleming3, Hiddo J L Heerspink1
1Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands.
2Barbara T. Murphy Division of Nephrology, Icahn School of Medicine at Mount Sinai, New York, NY.
3Renalytix AI, PLC, New York, NY.
4The George Institute for Global Health, University of South Wales, Sydney, New South Wales, Australia.
5Department of Cardiology, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia.
6Department of Internal Medicine, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands.

Abstract

OBJECTIVE: We evaluated the prognostic and clinical utility of kidneyintelX.dkd, a biomarker-based risk score, in patients with type 2 diabetes and a broad range of chronic kidney disease (CKD) by assessing its association with kidney outcomes at baseline and longitudinally, comparing it with the established Kidney Disease Improving Global Outcomes (KDIGO) risk classification, and examining its re…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.