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Recommendations on Acute Kidney Injury Biomarkers From the Acute Disease Quality Initiative Consensus Conference: A Consensus Statement

Open access
Ostermann, Marlies, Zarbock, Alexander, Goldstein, Stuart, Kashani, Kianoush, Macedo, Etienne, Murugan, Raghavan, Bell, Max, Forni, Lui, Guzzi, Louis, Joannidis, Michael, Kane-Gill, Sandra L., Legrand, Matthieu, Mehta, Ravindra, Murray, Patrick T., Pickkers, Peter, Plebani, Mario, Prowle, John, Ricci, Zaccaria, Rimmelé, Thomas, Rosner, Mitchell, Shaw, Andrew D., Kellum, John A., Ronco, Claudio·2020·JAMA Network Open

Abstract

Importance: In the last decade, new biomarkers for acute kidney injury (AKI) have been identified and studied in clinical trials. Guidance is needed regarding how best to incorporate them into clinical practice. Objective: To develop recommendations on AKI biomarkers based on existing data and expert consensus for practicing clinicians and researchers. Evidence Review: At the 23rd Acute Disease Quality Initiative meeting, a meeting of 23 international experts in critical care, nephrology, and related specialties, the panel focused on 4 broad areas, as follows: (1) AKI risk assessment; (2) AKI prediction and prevention; (3) AKI diagnosis, etiology, and management; and (4) AKI progression and kidney recovery. A literature search revealed more than 65 000 articles published between 1965 and May 2019. In a modified Delphi process, recommendations and consensus statements were developed based on existing data, with 90% agreement among panel members required for final adoption. Recommendations were graded using the Grading of Recommendations, Assessment, Development and Evaluations system. Findings: The panel developed 11 consensus statements for biomarker use and 14 research recommendations. The key suggestions were that a combination of damage and functional biomarkers, along with clinical information, be used to identify high-risk patient groups, improve the diagnostic accuracy of AKI, improve processes of care, and assist the management of AKI. Conclusions and Relevance: Current evidence from clinical studies supports the use of new biomarkers in prevention and management of AKI. Substantial gaps in knowledge remain, and more research is necessary.

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Metadata

Authors
Ostermann, M., Zarbock, A., Goldstein, S., Kashani, K., Macedo, E., Murugan, R., Bell, M., Forni, L., Guzzi, L., Joannidis, M., Kane-Gill, S. L., Legrand, M., Mehta, R., Murray, P. T., Pickkers, P., Plebani, M., Prowle, J., Ricci, Z., Rimmelé, T., Rosner, M., Shaw, A. D., Kellum, J. A., & Ronco, C.
Venue
JAMA Network Open
Published
2020-10-06
Volume
3
Issue
10
Pages
e2019209
ISSN
2574-3805 (ISSN-L)
OpenAlex
W3089762823
Cited by
677
References
69
FWCI
44.89
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Recommendations on Acute Kidney Injury Biomarkers From the Acute Disease Quality Initiative Consensus Conference: A Consensus Statement. https://app.cochat.ai/papers/10.1001/jamanetworkopen.2020.19209
The paper
Ostermann, M., Zarbock, A., Goldstein, S., Kashani, K., Macedo, E., Murugan, R., Bell, M., Forni, L., Guzzi, L., Joannidis, M., Kane-Gill, S. L., Legrand, M., Mehta, R., Murray, P. T., Pickkers, P., Plebani, M., Prowle, J., Ricci, Z., Rimmelé, T., . . . Ronco, C. (2020). Recommendations on Acute Kidney Injury Biomarkers From the Acute Disease Quality Initiative Consensus Conference: A Consensus Statement. JAMA Network Open. https://doi.org/10.1001/jamanetworkopen.2020.19209

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.