Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
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
_version_ 1782341310436343808
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
work_keys_str_mv AT hosteericaj derivationandvalidationofcutoffsforclinicaluseofcellcyclearrestbiomarkers
AT mcculloughpetera derivationandvalidationofcutoffsforclinicaluseofcellcyclearrestbiomarkers
AT kashanikianoush derivationandvalidationofcutoffsforclinicaluseofcellcyclearrestbiomarkers
AT chawlalakhmirs derivationandvalidationofcutoffsforclinicaluseofcellcyclearrestbiomarkers
AT joannidismichael derivationandvalidationofcutoffsforclinicaluseofcellcyclearrestbiomarkers
AT shawandrewd derivationandvalidationofcutoffsforclinicaluseofcellcyclearrestbiomarkers
AT feldkampthorsten derivationandvalidationofcutoffsforclinicaluseofcellcyclearrestbiomarkers
AT uettwillergeigerdenisel derivationandvalidationofcutoffsforclinicaluseofcellcyclearrestbiomarkers
AT mccarthypaul derivationandvalidationofcutoffsforclinicaluseofcellcyclearrestbiomarkers
AT shijing derivationandvalidationofcutoffsforclinicaluseofcellcyclearrestbiomarkers
AT walkermichaelg derivationandvalidationofcutoffsforclinicaluseofcellcyclearrestbiomarkers
AT kellumjohna derivationandvalidationofcutoffsforclinicaluseofcellcyclearrestbiomarkers