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 documento: Artículo
Estado:Published version
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
Nivel de acceso:Acceso abierto
Palabra clave:Marcadors bioquímics
Insuficiència renal aguda
Biochemical markers
Acute renal failure
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author Cuartero, Mireia
author2 Ballús, Josep
Sabater, J.
Pérez, X.
Nin, N.
Ordoñez Llanos, Jordi
Betbesé Roig, Antoni Jordi
author2_role author
author
author
author
author
author
author_browse Ballús, Josep
Betbesé Roig, Antoni Jordi
Cuartero, Mireia
Nin, N.
Ordoñez Llanos, Jordi
Pérez, X.
Sabater, J.
author_facet Cuartero, Mireia
Ballús, Josep
Sabater, J.
Pérez, X.
Nin, N.
Ordoñez Llanos, Jordi
Betbesé Roig, Antoni Jordi
author_role author
collection Dipòsit Digital de la UB
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.
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instname_str Universidad de Barcelona
network_acronym_str ES
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publishDate 2017
publishDateSort 2017
publisher Springer Heidelberg
publisherStr Springer Heidelberg
reponame_str Dipòsit Digital de la UB
spelling Cell-cycle arrest biomarkers in urine to predict acute kidney injury in septic and non-septic critically ill patients Cuartero, Mireia Ballús, Josep Sabater, J. Pérez, X. Nin, N. Ordoñez Llanos, Jordi Betbesé Roig, Antoni Jordi Marcadors bioquímics Insuficiència renal aguda Biochemical markers Acute renal failure 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. Springer Heidelberg https://hdl.handle.net/2445/124267
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
status_str publishedVersion
title 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_short 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
topic Marcadors bioquímics
Insuficiència renal aguda
Biochemical markers
Acute renal failure
topic_facet Marcadors bioquímics
Insuficiència renal aguda
Biochemical markers
Acute renal failure
url https://hdl.handle.net/2445/124267