The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Measurement of tubular enzymuria facilitates early detection of acute renal impairment in the intensive care unit
Open accessAbstract
BACKGROUND: Early detection of acute tubular necrosis (ATN) could permit implementation of salvage therapies and improve patient outcomes in acute renal failure (ARF). The utility of single and combined measurements of urinary tubular enzymes in predicting ARF in critically ill patients has not been evaluated using the receiver-operating characteristic (ROC) plot method. METHODS: In this prospective pilot study, 26 consecutive critically ill adult patients admitted to the intensive-care unit were studied. Urine samples were collected twice daily for up to 7 days. ARF was defined as an increase in plasma creatinine of > or = 50% and > or = 0.15 mmol/l. ROC plot analysis was applied to the tubular marker data to derive optimum cut-offs for ARF. RESULTS: Four of the 26 study subjects (15.4%) developed ARF. Indexed to urinary creatinine concentration, gamma glutamyl transpeptidase (gamma GT), alkaline phosphatase (AP), N-acetyl-glucosaminidase (NAG), and alpha- and pi-glutathione S-transferase (alpha- and pi-GST) but not lactate dehydrogenase (LDH) were higher in the ARF group on admission (P<0.05). gamma GT, and alpha- and pi-GST remained elevated at 24 h. The onset of ARF based on changes in plasma creatinine varied from 12 h to 4 days (median 36 h). ROC plot analysis showed that gamma GT, pi-GST, alpha-GST, AP and NAG had excellent discriminating power for ARF (AUC 0.950, 0.929, 0.893, 0.863 and 0.845, respectively). The discriminating strength of creatinine clearance, while lower, was still significant (AUC 0.796). Positive and negative predictive values for ARF on admission were 67/100% for gamma GT, 67/90% for AP, 60/95% for alpha-GST, and 67/100% for pi-GST indices. Positive and negative predictive values for ARF for creatinine clearance < or = 23 ml/min were 50 and 91%, respectively. Creatinine clearances tended to be lower in ARF than in non-ARF patients on admission (P=0.06) and were significantly lower (P=0.008) after 12 h. Plasma urea and fractional sodium excretion were unhelpful. CONCLUSIONS: Tubular enzymuria on admission to the ICU is useful in predicting ARF. The cheapness and wide availability of automated assays for gamma GT and AP suggests that estimation of these enzymes in random urine samples may be particularly useful for identifying patients at high risk of ARF.
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
DeLong, E. R., DeLong, D. M., & Clarke-Pearson, D. L. (1988) · Biometrics · doi:10.2307/2531595 · Cited by 22,649
Cited by
Mishra, J., Dent, C., Tarabishi, R., Mitsnefes, M. M., Ma, Q., Kelly, C., Ruff, S. M., Zahedi, K., Shao, M., Bean, J., et al. (2005) · The Lancet · doi:10.1016/s0140-6736(05)74811-x · Cited by 2,394
Diagnosis, Epidemiology and Outcomes of Acute Kidney Injury
Waikar, S. S., Liu, K. D., & Chertow, G. M. (2008) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.05191107 · Cited by 533
Urinary interleukin-18 is a marker of human acute tubular necrosis
Parikh, C. R., Jani, A., Melnikov, V. Y., Faubel, S., & Edelstein, C. L. (2004) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2003.10.040 · Cited by 522
Kidney-on-a-Chip technology for drug-induced nephrotoxicity screening
Wilmer, M. J., Ng, C. P., Lanz, H. L., Vulto, P., Suter-Dick, L., & Masereeuw, R. (2016) · Trends in Biotechnology · doi:10.1016/j.tibtech.2015.11.001 · Cited by 354
A basic science view of acute kidney injury biomarkers
Charlton, J. R., Portilla, D., & Okusa, M. D. (2014) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gft510 · Cited by 286
Metadata
- Authors
- Westhuyzen, J.
- Venue
- Nephrology Dialysis Transplantation
- Publisher
- Oxford University Press (OUP)
- Published
- 2003-03-01
- Volume
- 18
- Issue
- 3
- Pages
- 543-551
- ISSN
- 0931-0509 (ISSN-L)
- 1460-2385
- OpenAlex
- W2149793241
- Cited by
- 338
- References
- 1
- FWCI
- 7.05
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Measurement of tubular enzymuria facilitates early detection of acute renal impairment in the intensive care unit. https://app.cochat.ai/papers/10.1093/ndt/18.3.543
- The paper
- Westhuyzen, J. (2003). Measurement of tubular enzymuria facilitates early detection of acute renal impairment in the intensive care unit. Nephrology Dialysis Transplantation. https://doi.org/10.1093/ndt/18.3.543
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.