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Editorial
. 2022 Sep 29;3(9):1480-1483.
doi: 10.34067/KID.0003322022.

The Next Frontier: Biomarkers and Artificial Intelligence Predicting Cardiorenal Outcomes in Diabetic Kidney Disease

Gregory L Braden  1 , Daniel L Landry
Affiliations
Editorial

The Next Frontier: Biomarkers and Artificial Intelligence Predicting Cardiorenal Outcomes in Diabetic Kidney Disease

Gregory L Braden et al. Kidney360. .
No abstract available

Keywords: artificial intelligence; biomarkers; cardiorenal; diabetes and the kidney; diabetic CKD.

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Conflict of interest statement

G.L. Braden reports being an employee of Kidney Care and Transplant Services of New England, and an advisory or leadership role for Dascena. D.L. Landry reports being an employee of Kidney Care and Transplant Services of New England, and an advisory or leadership role for the Medical Advisory Council at the National Forum of ESRD Networks (chair) and the Medical Review Board for ESRD Network 1 (chair) but receives no financial compensation for either position.

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References

    1. Atkins RC, Briganti EM, Lewis JB, Hunsicker LG, Braden G, Champion de Crespigny PJ, DeFerrari G, Drury P, Locatelli F, Wiegmann TB, Lewis EJ: Proteinuria reduction and progression to renal failure in patients with type 2 diabetes mellitus and overt nephropathy. Am J Kidney Dis 45: 281–287, 2005. 10.1053/j.ajkd.2004.10.019 - DOI - PubMed
    1. Keane WF, Zhang Z, Lyle PA, Cooper ME, de Zeeuw D, Grunfeld JP, Lash JP, McGill JB, Mitch WE, Remuzzi G, Shahinfar S, Snapinn SM, Toto R, Brenner BM; RENAAL Study Investigators : Risk scores for predicting outcomes in patients with type 2 diabetes and nephropathy: the RENAAL study. Clin J Am Soc Nephrol 1: 761–767, 2006. 10.2215/CJN.01381005 - DOI - PubMed
    1. Tangri N, Stevens LA, Griffith J, Tighiouart H, Djurdjev O, Naimark D, Levin A, Levey AS: A predictive model for progression of chronic kidney disease to kidney failure. JAMA 305: 1553–1559, 2011. 10.1001/jama.2011.451 - DOI - PubMed
    1. Gansevoort RT, Matsushita K, van der Velde M, Astor BC, Woodward M, Levey AS, de Jong PE, Coresh J: The Chronic Kidney Disease Prognosis Consortium: Lower estimated GFR and higher albuminuria are associated with adverse kidney outcomes. A collaborative meta-analysis of general and high-risk population cohorts. Kidney Int 80: 93–104, 2011 10.1038/ki.2010.531 - DOI - PMC - PubMed
    1. Dunkler D, Gao P, Lee SF, Heinze G, Clase CM, Tobe S, Teo KK, Gerstein H, Mann JF, Oberbauer R; ONTARGET and ORIGIN Investigators : Risk prediction for early CKD in type 2 diabetes. Clin J Am Soc Nephrol 10: 1371–1379, 2015. 10.2215/CJN.10321014 - DOI - PMC - PubMed