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A Biomarker‐Enhanced Model for Prediction of Acute Kidney Injury and Cardiovascular Risk Following Angiographic Procedures: CASABLANCA AKI Prediction Substudy

Authors :
Reza Mohebi
Roland van Kimmenade
Cian McCarthy
Hanna Gaggin
Roxana Mehran
George Dangas
James L. Januzzi
Source :
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 11, Iss 10 (2022)
Publication Year :
2022
Publisher :
Wiley, 2022.

Abstract

Background The 2020 Acute Disease Quality Initiative Consensus provided recommendations on novel acute kidney injury biomarkers. In this study, we sought to assess the added value of novel kidney biomarkers to a clinical score in the CASABLANCA (Catheter Sampled Blood Archive in Cardiovascular Diseases) study. Methods and Results We evaluated individuals undergoing coronary and/or peripheral angiography and added 4 candidate biomarkers for acute kidney injury (kidney injury molecule‐1, interleukin‐18, osteopontin, and cystatin C) to a previously described contrast‐associated acute kidney injury (CA‐AKI) risk score. Participants were categorized into integer score groups based on the risk assigned by the biomarker‐enhanced CA‐AKI model. Risk for incident cardiorenal outcomes during a median 3.7 years of follow‐up was assessed. Of 1114 participants studied, 55 (4.94%) developed CA‐AKI. In adjusted models, neither kidney injury molecule‐1 nor interleukin‐18 improved discrimination for CA‐AKI; addition of osteopontin and cystatin C to the CA‐AKI clinical model significantly increased the c‐statistic from 0.69 to 0.73 (P for change

Details

Language :
English
ISSN :
20479980
Volume :
11
Issue :
10
Database :
Directory of Open Access Journals
Journal :
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
Publication Type :
Academic Journal
Accession number :
edsdoj.b1ec51e618ee4902874ea1a5bb5e2da7
Document Type :
article
Full Text :
https://doi.org/10.1161/JAHA.122.025729