Routine Adoption of Urinary [IGFBP7].[TIMP-2] to Assess Acute Kidney Injury at Any Stage 12 hours After Intensive Care Unit Admission: a Prospective Cohort Study

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Autores de IDIVAL

Autores ajenos al IDIVAL

  • Ferrari F
  • Romero-González G
  • Topete LR
  • Senzolo M
  • Lorenzin A
  • Husain-Syed F
  • Puci MV
  • Ferraro OE
  • Muraro E
  • Triviño AM
  • Castro AC
  • Xie Y
  • Yang B
  • De Cal M
  • Corradi V
  • Brendolan A
  • Scarpa M
  • Carta MR
  • Giavarina D
  • Bonato R
  • Ronco C

Abstract

The urinary tissue inhibitor of metalloproteinases-2 and insulin-like growth factor-binding protein 7 ([TIMP-2].[IGFBP7]) have been introduced to improve risk prediction of severe acute kidney injury (AKI) within 12 hours of measurement. We performed a prospective cohort study to evaluate if the predictive value of [TIMP-2].[IGFBP7] for AKI might continue after 12 hours. We enrolled 442 critically ill adult patients from June to December 2016. Urine samples were collected at admission for [TIMP-2].[IGFBP7] measurement. Baseline patient characteristics were recorded including patients' demographics, prior health history, and the main reason for admission to build a logistic regression model to predict AKI. AKI occurrence differed between patients with [TIMP-2].[IGFBP7] <= 0.3 and >0.3 (ng/ml)2/1000 (31.9% and 68.10% respectively; p <0.001). Patients with AKI had higher biomarker values compared to those without AKI (0.66 (0.21-2.84) vs 0.22 (0.08-0.63) (ng/ml)2/1000; p < 0.001). [TIMP-2].[IGFBP7] at ICU admission had a lower performance in predictingAKI at any stage within 48 hours and 7 days after measurement (area under the receiver operating characteristic curve (AUC) equal to 0.70 (95%CI 0.65-0.76), AUC 0.68 (95%CI 0.63-0.73)). In the logistic regression model, 0.1 (ng/ml)(2)/1000-unit increment was likely to increase the risk of AKI by 2% (p = 0.002).

Datos de la publicación

ISSN/ISSNe:
2045-2322, 2045-2322

SCIENTIFIC REPORTS  NATURE PUBLISHING GROUP

Tipo:
Article
Páginas:
16484-16484

Citas Recibidas en Web of Science: 10

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