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Derivation and validation of cutoffs for clinical use of cell cycle arrest biomarkers
BACKGROUND: Acute kidney injury (AKI) remains a deadly condition. Tissue inhibitor of metalloproteinases (TIMP)-2 and insulin-like growth factor binding protein (IGFBP)7 are two recently discovered urinary biomarkers for AKI. We now report on the development, and diagnostic accuracy of two clinical...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4209880/ https://www.ncbi.nlm.nih.gov/pubmed/25237065 http://dx.doi.org/10.1093/ndt/gfu292 |
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author | Hoste, Eric A.J. McCullough, Peter A. Kashani, Kianoush Chawla, Lakhmir S. Joannidis, Michael Shaw, Andrew D. Feldkamp, Thorsten Uettwiller-Geiger, Denise L. McCarthy, Paul Shi, Jing Walker, Michael G. Kellum, John A. |
author_facet | Hoste, Eric A.J. McCullough, Peter A. Kashani, Kianoush Chawla, Lakhmir S. Joannidis, Michael Shaw, Andrew D. Feldkamp, Thorsten Uettwiller-Geiger, Denise L. McCarthy, Paul Shi, Jing Walker, Michael G. Kellum, John A. |
author_sort | Hoste, Eric A.J. |
collection | PubMed |
description | BACKGROUND: Acute kidney injury (AKI) remains a deadly condition. Tissue inhibitor of metalloproteinases (TIMP)-2 and insulin-like growth factor binding protein (IGFBP)7 are two recently discovered urinary biomarkers for AKI. We now report on the development, and diagnostic accuracy of two clinical cutoffs for a test using these markers. METHODS: We derived cutoffs based on sensitivity and specificity for prediction of Kidney Disease: Improving Global Outcomes Stages 2–3 AKI within 12 h using data from a previously published multicenter cohort (Sapphire). Next, we verified these cutoffs in a new study (Opal) enrolling 154 critically ill adults from six sites in the USA. RESULTS: One hundred subjects (14%) in Sapphire and 27 (18%) in Opal met the primary end point. The results of the Opal study replicated those of Sapphire. Relative risk (95% CI) in both studies for subjects testing at ≤0.3 versus >0.3–2 were 4.7 (1.5–16) and 4.4 (2.5–8.7), or 12 (4.2–40) and 18 (10–37) for ≤0.3 versus >2. For the 0.3 cutoff, sensitivity was 89% in both studies, and specificity 50 and 53%. For 2.0, sensitivity was 42 and 44%, and specificity 95 and 90%. CONCLUSIONS: Urinary [TIMP-2]•[IGFBP7] values of 0.3 or greater identify patients at high risk and those >2 at highest risk for AKI and provide new information to support clinical decision-making. CLINICAL TRIALS REGISTRATION: Clintrials.gov # NCT01209169 (Sapphire) and NCT01846884 (Opal). |
format | Online Article Text |
id | pubmed-4209880 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-42098802014-10-28 Derivation and validation of cutoffs for clinical use of cell cycle arrest biomarkers Hoste, Eric A.J. McCullough, Peter A. Kashani, Kianoush Chawla, Lakhmir S. Joannidis, Michael Shaw, Andrew D. Feldkamp, Thorsten Uettwiller-Geiger, Denise L. McCarthy, Paul Shi, Jing Walker, Michael G. Kellum, John A. Nephrol Dial Transplant CLINICAL SCIENCE BACKGROUND: Acute kidney injury (AKI) remains a deadly condition. Tissue inhibitor of metalloproteinases (TIMP)-2 and insulin-like growth factor binding protein (IGFBP)7 are two recently discovered urinary biomarkers for AKI. We now report on the development, and diagnostic accuracy of two clinical cutoffs for a test using these markers. METHODS: We derived cutoffs based on sensitivity and specificity for prediction of Kidney Disease: Improving Global Outcomes Stages 2–3 AKI within 12 h using data from a previously published multicenter cohort (Sapphire). Next, we verified these cutoffs in a new study (Opal) enrolling 154 critically ill adults from six sites in the USA. RESULTS: One hundred subjects (14%) in Sapphire and 27 (18%) in Opal met the primary end point. The results of the Opal study replicated those of Sapphire. Relative risk (95% CI) in both studies for subjects testing at ≤0.3 versus >0.3–2 were 4.7 (1.5–16) and 4.4 (2.5–8.7), or 12 (4.2–40) and 18 (10–37) for ≤0.3 versus >2. For the 0.3 cutoff, sensitivity was 89% in both studies, and specificity 50 and 53%. For 2.0, sensitivity was 42 and 44%, and specificity 95 and 90%. CONCLUSIONS: Urinary [TIMP-2]•[IGFBP7] values of 0.3 or greater identify patients at high risk and those >2 at highest risk for AKI and provide new information to support clinical decision-making. CLINICAL TRIALS REGISTRATION: Clintrials.gov # NCT01209169 (Sapphire) and NCT01846884 (Opal). Oxford University Press 2014-11 2014-09-18 /pmc/articles/PMC4209880/ /pubmed/25237065 http://dx.doi.org/10.1093/ndt/gfu292 Text en © The Author 2014. Published by Oxford University Press on behalf of ERA-EDTA. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | CLINICAL SCIENCE Hoste, Eric A.J. McCullough, Peter A. Kashani, Kianoush Chawla, Lakhmir S. Joannidis, Michael Shaw, Andrew D. Feldkamp, Thorsten Uettwiller-Geiger, Denise L. McCarthy, Paul Shi, Jing Walker, Michael G. Kellum, John A. Derivation and validation of cutoffs for clinical use of cell cycle arrest biomarkers |
title | Derivation and validation of cutoffs for clinical use of cell cycle arrest biomarkers |
title_full | Derivation and validation of cutoffs for clinical use of cell cycle arrest biomarkers |
title_fullStr | Derivation and validation of cutoffs for clinical use of cell cycle arrest biomarkers |
title_full_unstemmed | Derivation and validation of cutoffs for clinical use of cell cycle arrest biomarkers |
title_short | Derivation and validation of cutoffs for clinical use of cell cycle arrest biomarkers |
title_sort | derivation and validation of cutoffs for clinical use of cell cycle arrest biomarkers |
topic | CLINICAL SCIENCE |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4209880/ https://www.ncbi.nlm.nih.gov/pubmed/25237065 http://dx.doi.org/10.1093/ndt/gfu292 |
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