• Scientific reports · Nov 2019

    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.

    • Fiorenza Ferrari, Gregorio Romero-González, Lilia Rizo Topete, Mara Senzolo, Anna Lorenzin, Faeq Husain-Syed, Mariangela Valentina Puci, Ottavia Eleonora Ferraro, Eva Muraro, Mara Serrano-Soto, Alejandra Molano Triviño, Ana Coutinho Castro, Yun Xie, Bo Yang, Massimo De Cal, Valentina Corradi, Alessandra Brendolan, Marta Scarpa, Maria Rosa Carta, Davide Giavarina, Raffaele Bonato, and Claudio Ronco.
    • International Renal Research Institute of Vicenza (IRRIV) and Department of Nephrology, Dialysis and Transplantation, San Bortolo Hospital, Viale Rodolfi, 37- 36100, Vicenza, Italy. fioreferrari28@gmail.com.
    • Sci Rep. 2019 Nov 11; 9 (1): 16484.

    AbstractThe 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 predicting AKI 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).

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