The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Creatinine Kinetics and the Definition of Acute Kidney Injury
Open accessAbstract
Acute kidney injury (AKI) is a common and devastating medical condition, but no widely accepted definition exists. A recent classification system by the Acute Dialysis Quality Initiative (RIFLE) defines AKI largely by percentage increases in serum creatinine (SCr) over baseline. The Acute Kidney Injury Network defines the first stage by either an absolute or a percentage increase in SCr. To examine the implications of various definitions, we solved differential equations on the basis of mass balance principles. We simulated creatinine kinetics after AKI in the setting of normal baseline kidney function and stages 2, 3, and 4 chronic kidney disease (CKD). The percentage changes in SCr after severe AKI are highly dependent on baseline kidney function. Twenty-four hours after a 90% reduction in creatinine clearance, the rise in SCr was 246% with normal baseline kidney function, 174% in stage 2 CKD, 92% in stage 3 CKD, and only 47% in stage 4 CKD. By contrast, the absolute increase was nearly identical (1.8 to 2.0 mg/dl) across the spectrum of baseline kidney function. Time to reach a 50% increase in SCr was directly related to baseline kidney function: From 4 h (normal baseline) up to 27 h for stage 4 CKD. By contrast, the time to reach a 0.5-mg/dl increase in SCr was virtually identical after moderate to severe AKI (>50% reduction in creatinine clearance). We propose an alternative definition of AKI that incorporates absolute changes in SCr over a 24- to 48-h time period.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Prevalence of Chronic Kidney Disease in the United States
Coresh, J., Selvin, E., Stevens, L. A., Manzi, J., Kusek, J. W., Eggers, P., Van Lente, F., & Levey, A. S. (2007) · JAMA · doi:10.1001/jama.298.17.2038 · Cited by 4,895
Cited by
KDIGO 2024 clinical practice guideline for the evaluation and management of chronic kidney disease
Stevens, P. E., Ahmed, S. B., Carrero, J. J., Foster, B., Francis, A., Hall, R. K., Herrington, W. G., Hill, G., Inker, L. A., Kazancıoğlu, R., et al. (2024) · Kidney International · doi:10.1016/j.kint.2023.10.018 · Cited by 8,530
The definition of acute kidney injury and its use in practice
Thomas, M. E., Blaine, C., Dawnay, A., Devonald, M. A. J., Ftouh, S., Laing, C., Latchem, S., Lewington, A., Milford, D. V., & Ostermann, M. (2015) · Kidney International · doi:10.1038/ki.2014.328 · Cited by 722
Next-generation biomarkers for detecting kidney toxicity
Bonventre, J. V., Vaidya, V. S., Schmouder, R., Feig, P., & Dieterle, F. (2010) · Nature Biotechnology · doi:10.1038/nbt0510-436 · Cited by 538
Self-citationNeutrophil Gelatinase-Associated Lipocalin: A� Promising Biomarker for Human Acute Kidney Injury
Devarajan, P. (2010) · Biomarkers in Medicine · doi:10.2217/bmm.10.12 · Cited by 332
Conde, E., Alegre, L., Blanco-Sánchez, I., Sáenz-Morales, D., Aguado-Fraile, E., Ponte, B., Ramos, E., Sáiz, A., Jiménez, C., Ordoñez, A., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0033258 · Cited by 163
Metadata
- Authors
- Waikar, S. S., & Bonventre, J. V.
- Venue
- Journal of the American Society of Nephrology
- Published
- 2009-03
- Volume
- 20
- Issue
- 3
- Pages
- 672-679
- ISSN
- 1046-6673 (ISSN-L)
- OpenAlex
- W2143569590
- Cited by
- 666
- References
- 1
- FWCI
- 21.23
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Creatinine Kinetics and the Definition of Acute Kidney Injury. https://app.cochat.ai/papers/10.1681/asn.2008070669
- The paper
- Waikar, S. S., & Bonventre, J. V. (2009). Creatinine Kinetics and the Definition of Acute Kidney Injury. Journal of the American Society of Nephrology. https://doi.org/10.1681/asn.2008070669
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.