Cell-cycle arrest biomarkers in urine to predict acute kidney injury in septic and non-septic critically ill patients

Purpose: To analyse the usefulness of the composite index of the tissue inhibitor of metalloproteinases-2 (TIMP-2) and insulin-like growth factor-binding protein 7 (IGFBP7) as urinary biomarkers for the early prediction of AKI in septic and non-septic patients. Methods: This is a prospective, observ...

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Autores: Cuartero, Mireia, Ballús, Josep, Sabater, J., Pérez, X., Nin, N., Ordoñez Llanos, Jordi, Betbesé Roig, Antoni Jordi
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2017
País:España
Institución:Universidad de Barcelona
Repositorio:Dipòsit Digital de la UB
OAI Identifier:oai:diposit.ub.edu:2445/124267
Acceso en línea:https://hdl.handle.net/2445/124267
Access Level:acceso abierto
Palabra clave:Marcadors bioquímics
Insuficiència renal aguda
Biochemical markers
Acute renal failure
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spelling Cell-cycle arrest biomarkers in urine to predict acute kidney injury in septic and non-septic critically ill patientsCuartero, MireiaBallús, JosepSabater, J.Pérez, X.Nin, N.Ordoñez Llanos, JordiBetbesé Roig, Antoni JordiMarcadors bioquímicsInsuficiència renal agudaBiochemical markersAcute renal failurePurpose: To analyse the usefulness of the composite index of the tissue inhibitor of metalloproteinases-2 (TIMP-2) and insulin-like growth factor-binding protein 7 (IGFBP7) as urinary biomarkers for the early prediction of AKI in septic and non-septic patients. Methods: This is a prospective, observational study including patients admitted to ICU from acute care departments and hospital length of stay < 48 h. The main exclusion criteria were pre-existing eGFR < 30 mL/min/1.73 m(2) and hospitalisation 2 months prior to current admission. The [TIMP-2].[IGFBP7] index was analysed twice, within the first 12 h of ICU admission. Results: The sample included 98 patients. AKI incidence during ICU stay was 50%. Sepsis was diagnosed in 40.8%. Baseline renal variables were comparable between subgroups except for a higher baseline eGFR in non-septic patients. Patients were stratified based on the presence of AKI and their highest level of [TIMP-2].[IGFBP7] within the first 12 h of stay. [TIMP-2].[IGFBP7] index values were dependent on the incidence of AKI but not of sepsis. [TIMP2] .[IGFBP7] values were significantly related to AKI severity according to AKIN criteria (p < 0.0001). The AUROC curve to predict AKI of the worst [TIMP-2].[IGFBP7] index value was 0.798 (sensitivity 73.5%, specificity 71.4%, p < 0.0001). Index values below 0.8 ruled out any need for renal replacement (NPV 100%), whereas an index > 0.8 predicted a rate of AKI of 71% and AKIN >= 2 of 62.9%. Conclusions: In our study, urinary [TIMP-2].[IGFBP7] was an early predictor of AKI in ICU patients regardless of sepsis. Besides, index values < 0.8(ng/mL)(2)/1000 ruled out the need for renal replacement.Springer Heidelberg2017info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/2445/124267Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))reponame:Dipòsit Digital de la UBinstname:Universidad de BarcelonaInglésReproducció del document publicat a: https://doi.org/10.1186/s13613-017-0317-yAnnals Of Intensive Care, 2017, vol. 7, num. 92https://doi.org/10.1186/s13613-017-0317-ycc by (c) Cuartero et al., 2017http://creativecommons.org/licenses/by/3.0/es/info:eu-repo/semantics/openAccessoai:diposit.ub.edu:2445/1242672026-05-27T06:46:51Z
dc.title.none.fl_str_mv Cell-cycle arrest biomarkers in urine to predict acute kidney injury in septic and non-septic critically ill patients
title Cell-cycle arrest biomarkers in urine to predict acute kidney injury in septic and non-septic critically ill patients
spellingShingle Cell-cycle arrest biomarkers in urine to predict acute kidney injury in septic and non-septic critically ill patients
Cuartero, Mireia
Marcadors bioquímics
Insuficiència renal aguda
Biochemical markers
Acute renal failure
title_short Cell-cycle arrest biomarkers in urine to predict acute kidney injury in septic and non-septic critically ill patients
title_full Cell-cycle arrest biomarkers in urine to predict acute kidney injury in septic and non-septic critically ill patients
title_fullStr Cell-cycle arrest biomarkers in urine to predict acute kidney injury in septic and non-septic critically ill patients
title_full_unstemmed Cell-cycle arrest biomarkers in urine to predict acute kidney injury in septic and non-septic critically ill patients
title_sort Cell-cycle arrest biomarkers in urine to predict acute kidney injury in septic and non-septic critically ill patients
dc.creator.none.fl_str_mv Cuartero, Mireia
Ballús, Josep
Sabater, J.
Pérez, X.
Nin, N.
Ordoñez Llanos, Jordi
Betbesé Roig, Antoni Jordi
author Cuartero, Mireia
author_facet Cuartero, Mireia
Ballús, Josep
Sabater, J.
Pérez, X.
Nin, N.
Ordoñez Llanos, Jordi
Betbesé Roig, Antoni Jordi
author_role author
author2 Ballús, Josep
Sabater, J.
Pérez, X.
Nin, N.
Ordoñez Llanos, Jordi
Betbesé Roig, Antoni Jordi
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Marcadors bioquímics
Insuficiència renal aguda
Biochemical markers
Acute renal failure
topic Marcadors bioquímics
Insuficiència renal aguda
Biochemical markers
Acute renal failure
description Purpose: To analyse the usefulness of the composite index of the tissue inhibitor of metalloproteinases-2 (TIMP-2) and insulin-like growth factor-binding protein 7 (IGFBP7) as urinary biomarkers for the early prediction of AKI in septic and non-septic patients. Methods: This is a prospective, observational study including patients admitted to ICU from acute care departments and hospital length of stay < 48 h. The main exclusion criteria were pre-existing eGFR < 30 mL/min/1.73 m(2) and hospitalisation 2 months prior to current admission. The [TIMP-2].[IGFBP7] index was analysed twice, within the first 12 h of ICU admission. Results: The sample included 98 patients. AKI incidence during ICU stay was 50%. Sepsis was diagnosed in 40.8%. Baseline renal variables were comparable between subgroups except for a higher baseline eGFR in non-septic patients. Patients were stratified based on the presence of AKI and their highest level of [TIMP-2].[IGFBP7] within the first 12 h of stay. [TIMP-2].[IGFBP7] index values were dependent on the incidence of AKI but not of sepsis. [TIMP2] .[IGFBP7] values were significantly related to AKI severity according to AKIN criteria (p < 0.0001). The AUROC curve to predict AKI of the worst [TIMP-2].[IGFBP7] index value was 0.798 (sensitivity 73.5%, specificity 71.4%, p < 0.0001). Index values below 0.8 ruled out any need for renal replacement (NPV 100%), whereas an index > 0.8 predicted a rate of AKI of 71% and AKIN >= 2 of 62.9%. Conclusions: In our study, urinary [TIMP-2].[IGFBP7] was an early predictor of AKI in ICU patients regardless of sepsis. Besides, index values < 0.8(ng/mL)(2)/1000 ruled out the need for renal replacement.
publishDate 2017
dc.date.none.fl_str_mv 2017
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2445/124267
url https://hdl.handle.net/2445/124267
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Reproducció del document publicat a: https://doi.org/10.1186/s13613-017-0317-y
Annals Of Intensive Care, 2017, vol. 7, num. 92
https://doi.org/10.1186/s13613-017-0317-y
dc.rights.none.fl_str_mv cc by (c) Cuartero et al., 2017
http://creativecommons.org/licenses/by/3.0/es/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv cc by (c) Cuartero et al., 2017
http://creativecommons.org/licenses/by/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Springer Heidelberg
publisher.none.fl_str_mv Springer Heidelberg
dc.source.none.fl_str_mv Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))
reponame:Dipòsit Digital de la UB
instname:Universidad de Barcelona
instname_str Universidad de Barcelona
reponame_str Dipòsit Digital de la UB
collection Dipòsit Digital de la UB
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300719

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