The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Development and Standardization of a Furosemide Stress Test to Predict the Severity of Acute Kidney Injury
Open accessAbstract
Introduction: In the setting of early acute kidney injury (AKI), no test has been shown to definitively predict the progression to more severe stages. Methods: We investigated the ability of a furosemide stress test (FST) (one-time dose of 1.0 or 1.5 mg/kg depending on prior furosemide-exposure) to predict the development of AKIN Stage-III in 2 cohorts of critically ill subjects with early AKI. Cohort 1 was a retrospective cohort who received a FST in the setting of AKI in critically ill patients as part of Southern AKI Network. Cohort 2 was a prospective multicenter group of critically ill patients who received their FST in the setting of early AKI. Results: We studied 77 subjects; 23 from cohort 1 and 54 from cohort 2; 25 (32.4%) met the primary endpoint of progression to AKIN-III. Subjects with progressive AKI had significantly lower urine output following FST in each of the first 6 hours (p<0.001). The area under the receiver operator characteristic curves for the total urine output over the first 2 hours following FST to predict progression to AKIN-III was 0.87 (p = 0.001). The ideal-cutoff for predicting AKI progression during the first 2 hours following FST was a urine volume of less than 200mls(100ml/hr) with a sensitivity of 87.1% and specificity 84.1%. Conclusions: The FST in subjects with early AKI serves as a novel assessment of tubular function with robust predictive capacity to identify those patients with severe and progressive AKI. Future studies to validate these findings are warranted.
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
Levey, A. S., Bosch, J. P., Lewis, J. B., Greene, T., Rogers, N., Roth, D., & for the Modification of Diet in Renal Disease Study Group* (1999) · Annals of Internal Medicine · doi:10.7326/0003-4819-130-6-199903160-00002 · Cited by 15,079
APACHE II-A Severity of Disease Classification System: Reply
Knaus, W. A., Draper, E. A., Wagner, D. P., & Zimmerman, J. E. (1986) · Critical Care Medicine · doi:10.1097/00003246-198608000-00028 · Cited by 13,376
Vincent, J. L., Moreno, R., Takala, J., Willatts, S., De Mendonça, A., Bruining, H., Reinhart, C. K., Suter, P. M., & Thijs, L. G. (1996) · Intensive Care Medicine · doi:10.1007/bf01709751 · Cited by 11,674
Acute Kidney Injury Network: report of an initiative to improve outcomes in acute kidney injury
Mehta, R. L., Kellum, J. A., Shah, S. V., Molitoris, B. A., Ronco, C., Warnock, D. G., Levin, A., & the Acute Kidney Injury Network (2007) · Critical Care · doi:10.1186/cc5713 · Cited by 7,048
Bellomo, R., Kellum, J. A., & Ronco, C. (2012) · The Lancet · doi:10.1016/s0140-6736(11)61454-2 · Cited by 2,598
Chronic kidney disease after acute kidney injury: a systematic review and meta-analysis
Coca, S. G., Singanamala, S., & Parikh, C. R. (2012) · Kidney International · doi:10.1038/ki.2011.379 · Cited by 2,256
APACHE—acute physiology and chronic health evaluation: a physiologically based classification system
KNAUS, W. A., ZIMMERMAN, J. E., WAGNER, D. P., DRAPER, E. A., & LAWRENCE, D. E. (1981) · Critical Care Medicine · doi:10.1097/00003246-198108000-00008 · Cited by 2,189
Diuretics, Mortality, and Nonrecovery of Renal Function in Acute Renal Failure
Mehta, R. L. (2002) · JAMA · doi:10.1001/jama.288.20.2547 · Cited by 717
Temporal Changes in Incidence of Dialysis-Requiring AKI
Hsu, R. K., McCulloch, C. E., Dudley, R. A., Lo, L. J., & Hsu, C.-Y. (2013) · Journal of the American Society of Nephrology · doi:10.1681/asn.2012080800 · Cited by 521
Furosemide effect on isolated perfused tubules
Burg, M., Stoner, L., Cardinal, J., & Green, N. (1973) · American Journal of Physiology-Legacy Content · doi:10.1152/ajplegacy.1973.225.1.119 · Cited by 430
Cited by
16., O. B. O. T. A. D. Q. I. W., Chawla, L. S., Bellomo, R., Bihorac, A., Goldstein, S. L., Siew, E. D., Bagshaw, S. M., Bittleman, D., Cruz, D., Endre, Z., et al. (2017) · Nature Reviews Nephrology · doi:10.1038/nrneph.2017.2 · Cited by 1,537
Self-citationLevey, A. S., & James, M. T. (2017) · Annals of Internal Medicine · doi:10.7326/aitc201711070 · Cited by 549
Classifying AKI by Urine Output versus Serum Creatinine Level
Kellum, J. A., Sileanu, F. E., Murugan, R., Lucko, N., Shaw, A. D., & Clermont, G. (2015) · Journal of the American Society of Nephrology · doi:10.1681/asn.2014070724 · Cited by 527
Self-citationRecovery after Acute Kidney Injury
Kellum, J. A., Sileanu, F. E., Bihorac, A., Hoste, E. A. J., & Chawla, L. S. (2017) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201604-0799oc · Cited by 520
Self-citationOstermann, M., Lumlertgul, N., Jeong, R., See, E., Joannidis, M., & James, M. (2025) · The Lancet · doi:10.1016/s0140-6736(24)02385-7 · Cited by 396
Metadata
- Authors
- Chawla, L. S., Davison, D. L., Brasha-Mitchell, E., Koyner, J. L., Arthur, J. M., Shaw, A. D., Tumlin, J. A., Trevino, S. A., Kimmel, P. L., & Seneff, M. G.
- Venue
- Critical Care
- Published
- 2013-09-20
- Volume
- 17
- Issue
- 5
- Pages
- R207-R207
- ISSN
- 1364-8535 (ISSN-L)
- OpenAlex
- W2118172844
- Cited by
- 398
- References
- 25
- FWCI
- 10.61
- Type
- journal article
- Language
- en
- Open access
- gold
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: Development and Standardization of a Furosemide Stress Test to Predict the Severity of Acute Kidney Injury. https://app.cochat.ai/papers/10.1186/cc13015
- The paper
- Chawla, L. S., Davison, D. L., Brasha-Mitchell, E., Koyner, J. L., Arthur, J. M., Shaw, A. D., Tumlin, J. A., Trevino, S. A., Kimmel, P. L., & Seneff, M. G. (2013). Development and Standardization of a Furosemide Stress Test to Predict the Severity of Acute Kidney Injury. Critical Care. https://doi.org/10.1186/cc13015
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.