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PromarkerD Predicts Renal Function Decline in Type 2 Diabetes in the Canagliflozin Cardiovascular Assessment Study (CANVAS)

Authors :
Timothy M. E. Davis
Michael K. Hansen
Kirsten Peters
Wendy A. Davis
Richard J. Lipscombe
Jialin Xu
Scott Bringans
Source :
Journal of Clinical Medicine, Volume 9, Issue 10, Journal of Clinical Medicine, Vol 9, Iss 3212, p 3212 (2020)
Publication Year :
2020

Abstract

The ability of current tests to predict chronic kidney disease (CKD) complicating diabetes is limited. This study investigated the prognostic utility of a novel blood test, PromarkerD, for predicting future renal function decline in individuals with type 2 diabetes from the CANagliflozin CardioVascular Assessment Study (CANVAS). PromarkerD scores were measured at baseline in 3568 CANVAS participants (n = 1195 placebo arm, n = 2373 canagliflozin arm) and used to predict incident CKD (estimated glomerular filtration rate (eGFR) &lt<br />60 mL/min/1.73m2 during follow-up in those above this threshold at baseline) and eGFR decline &ge<br />30% during the 4 years from randomization. Biomarker concentrations (apolipoprotein A-IV (apoA4), CD5 antigen-like (CD5L/AIM) and insulin-like growth factor-binding protein 3 (IGFBP3) measured by mass spectrometry were combined with clinical data (age, serum high-density lipoprotein (HDL)-cholesterol, eGFR) using a previously defined algorithm to provide PromarkerD scores categorized as low-, moderate- or high-risk. The participants (mean age 63 years, 33% females) had a median PromarkerD score of 2.9%, with 70.5% categorized as low-risk, 13.6% as moderate-risk and 15.9% as high-risk for developing incident CKD. After adjusting for treatment, baseline PromarkerD moderate-risk and high-risk scores were increasingly prognostic for incident CKD (odds ratio 5.29 and 13.52 versus low-risk, respectively<br />both p &lt<br />0.001). Analysis of the PromarkerD test system in CANVAS shows the test can predict clinically significant incident CKD in this multi-center clinical study but had limited utility for predicting eGFR decline &ge<br />30%.

Details

ISSN :
20770383
Volume :
9
Issue :
10
Database :
OpenAIRE
Journal :
Journal of clinical medicine
Accession number :
edsair.doi.dedup.....ce086983e3c2783b10df3abc16da33fa