The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Diagnostic and Prognostic Stratification in the Emergency Department Using Urinary Biomarkers of Nephron Damage
Open accessAbstract
Objectives This study aimed to determine the diagnostic and prognostic value of urinary biomarkers of intrinsic acute kidney injury (AKI) when patients were triaged in the emergency department. Background Intrinsic AKI is associated with nephron injury and results in poor clinical outcomes. Several urinary biomarkers have been proposed to detect and measure intrinsic AKI. Methods In a multicenter prospective cohort study, 5 urinary biomarkers (urinary neutrophil gelatinase–associated lipocalin, kidney injury molecule-1, urinary liver-type fatty acid binding protein, urinary interleukin-18, and cystatin C) were measured in 1,635 unselected emergency department patients at the time of hospital admission. We determined whether the biomarkers diagnosed intrinsic AKI and predicted adverse outcomes during hospitalization. Results All biomarkers were elevated in intrinsic AKI, but urinary neutrophil gelatinase-associated lipocalin was most useful (81% specificity, 68% sensitivity at a 104-ng/ml cutoff) and predictive of the severity and duration of AKI. Intrinsic AKI was strongly associated with adverse in-hospital outcomes. Urinary neutrophil gelatinase-associated lipocalin and urinary kidney injury molecule 1 predicted a composite outcome of dialysis initiation or death during hospitalization, and both improved the net risk classification compared with conventional assessments. These biomarkers also identified a substantial subpopulation with low serum creatinine at hospital admission, but who were at risk of adverse events. Conclusion Urinary biomarkers of nephron damage enable prospective diagnostic and prognostic stratification in the emergency department.
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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
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., Ronco, C., Kellum, J. A., Mehta, R. L., Palevsky, P., & workgroup, T. A. (2004) · Critical Care · doi:10.1186/cc2872 · Cited by 6,781
Pencina, M. J., D' Agostino, R. B., D' Agostino, R. B., & Vasan, R. S. (2008) · Statistics in Medicine · doi:10.1002/sim.2929 · Cited by 6,493
Acute Kidney Injury, Mortality, Length of Stay, and Costs in Hospitalized Patients
Chertow, G. M., Burdick, E., Honour, M., Bonventre, J. V., & Bates, D. W. (2005) · Journal of the American Society of Nephrology · doi:10.1681/asn.2004090740 · Cited by 3,408
Hospital-acquired renal insufficiency
Nash, K., Hafeez, A., & Hou, S. (2002) · American Journal of Kidney Diseases · doi:10.1053/ajkd.2002.32766 · Cited by 1,951
Mishra, J., Ma, Q., Prada, A., Mitsnefes, M., Zahedi, K., Yang, J., Barasch, J., & Devarajan, P. (2003) · Journal of the American Society of Nephrology · doi:10.1097/01.asn.0000088027.54400.c6 · Cited by 1,749
Self-citationSerum Creatinine as an Index of Renal Function: New Insights into Old Concepts
Perrone, R. D., Madias, N. E., & Levey, A. S. (1992) · Clinical Chemistry · doi:10.1093/clinchem/38.10.1933 · Cited by 1,581
Haase, M., Bellomo, R., Devarajan, P., Schlattmann, P., & Haase-Fielitz, A. (2009) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2009.07.020 · Cited by 1,339
Self-citationGreenland, P. (2008) · Statistics in Medicine · doi:10.1002/sim.2976 · Cited by 1,300
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Acute kidney injury: an increasing global concern
Lameire, N. H., Bagga, A., Cruz, D., De Maeseneer, J., Endre, Z., Kellum, J. A., Liu, K. D., Mehta, R. L., Pannu, N., Van Biesen, W., et al. (2013) · The Lancet · doi:10.1016/s0140-6736(13)60647-9 · Cited by 1,001
Acute kidney injury-epidemiology, outcomes and economics
Rewa, O., & Bagshaw, S. M. (2014) · Nature Reviews Nephrology · doi:10.1038/nrneph.2013.282 · Cited by 734
Biomarkers in acute kidney injury – pathophysiological basis and clinical performance
Schrezenmeier, E. V., Barasch, J., Budde, K., Westhoff, T., & Schmidt‐Ott, K. M. (2017) · Acta Physiologica · doi:10.1111/apha.12764 · Cited by 401
Self-citationA 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
CD4(+) T cell-derived NGAL modifies the outcome of Ischemic acute kidney Injury
Lee, S. A., Noel, S., Kurzhagen, J. T., Sadasivam, M., Pierorazio, P. M., Arend, L. J., Hamad, A. R., & Rabb, H. (2020) · The Journal of Immunology · doi:10.4049/jimmunol.1900677 · Cited by 41
Metadata
- Authors
- Nickolas, T. L., Schmidt-Ott, K. M., Canetta, P., Forster, C., Singer, E., Sise, M., Elger, A., Maarouf, O., Sola-Del Valle, D. A., O'Rourke, M., Sherman, E., Lee, P., Geara, A., Imus, P., Guddati, A., Polland, A., Rahman, W., Elitok, S., Malik, N., Giglio, J., El-Sayegh, S., Devarajan, P., Hebbar, S., Saggi, S. J., Hahn, B., Kettritz, R., Luft, F. C., & Barasch, J.
- Venue
- Journal of the American College of Cardiology
- Publisher
- Elsevier BV
- Published
- 2012-01
- Volume
- 59
- Issue
- 3
- Pages
- 246-255
- ISSN
- 0735-1097 (ISSN-L)
- OpenAlex
- W119935841
- Cited by
- 338
- References
- 30
- FWCI
- 23.70
- Type
- journal article
- Language
- en
- Open access
- bronze
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- The paper
- Nickolas, T. L., Schmidt-Ott, K. M., Canetta, P., Forster, C., Singer, E., Sise, M., Elger, A., Maarouf, O., Sola-Del Valle, D. A., O'Rourke, M., Sherman, E., Lee, P., Geara, A., Imus, P., Guddati, A., Polland, A., Rahman, W., Elitok, S., Malik, N., . . . Barasch, J. (2012). Diagnostic and Prognostic Stratification in the Emergency Department Using Urinary Biomarkers of Nephron Damage. Journal of the American College of Cardiology. https://doi.org/10.1016/j.jacc.2011.10.854
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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.
