Cell-cycle arrest biomarkers in urine to predict acute kidney injury in septic and non-septic critically ill patients
| dc.contributor.author | Cuartero, Mireia | |
| dc.contributor.author | Ballús, Josep | |
| dc.contributor.author | Sabater, J. | |
| dc.contributor.author | Pérez, X. | |
| dc.contributor.author | Nin, N. | |
| dc.contributor.author | Ordoñez Llanos, Jordi | |
| dc.contributor.author | Betbesé Roig, Antoni Jordi | |
| dc.date.accessioned | 2018-09-04T14:04:22Z | |
| dc.date.available | 2018-09-04T14:04:22Z | |
| dc.date.issued | 2017-09-07 | |
| dc.date.updated | 2018-07-24T12:01:28Z | |
| dc.description.abstract | 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. | |
| dc.format.extent | 10 p. | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.pmid | 28884304 | |
| dc.identifier.uri | https://hdl.handle.net/2445/124267 | |
| dc.language.iso | eng | |
| dc.publisher | Springer Heidelberg | |
| dc.relation.isformatof | Reproducció del document publicat a: https://doi.org/10.1186/s13613-017-0317-y | |
| dc.relation.ispartof | Annals Of Intensive Care, 2017, vol. 7, num. 92 | |
| dc.relation.uri | https://doi.org/10.1186/s13613-017-0317-y | |
| dc.rights | cc by (c) Cuartero et al., 2017 | |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | |
| dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | |
| dc.source | Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL)) | |
| dc.subject.classification | Marcadors bioquímics | |
| dc.subject.classification | Insuficiència renal aguda | |
| dc.subject.other | Biochemical markers | |
| dc.subject.other | Acute renal failure | |
| dc.title | Cell-cycle arrest biomarkers in urine to predict acute kidney injury in septic and non-septic critically ill patients | |
| dc.type | info:eu-repo/semantics/article | |
| dc.type | info:eu-repo/semantics/publishedVersion |
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