Development and validation of quick Acute Kidney Injury-score (q-AKI) to predict acute kidney injury at admission to a multidisciplinary intensive care unit

Fiorenza Ferrari, Mariangela Valentina Puci, Ottavia Eleonora Ferraro, Gregorio Romero-González, Faeq Husain-Syed, Lilia Rizo-Topete, Mara Senzolo, Anna Lorenzin, Eva Muraro, Antonio Baracca, Mara Serrano-Soto, Alejandra Molano Triviño, Ana Coutinho Castro, Massimo De Cal, Valentina Corradi, Alessandra Brendolan, Marta Scarpa, Maria Rosa Carta, Davide Giavarina, Raffaele BonatoGiorgio Antonio Iotti, Claudio Ronco

Research output: Contribution to journalArticle

Abstract

AKI is associated with increased risk of death, prolonged length of stay and development of de-novo chronic kidney disease. The aim of our study is the development and validation of prediction models to identify the risk of AKI in ICU patients up to 7 days. We retrospectively recruited 692 consecutive patients admitted to the ICU at San Bortolo Hospital (Vicenza, Italy) from 1 June 2016 to 31 March 2017: 455 patients were treated as the derivation group and 237 as the validation group. Candidate variables were selected based on a literature review and expert opinion. Admission eGFR< 90 ml/min /1.73 mq (OR 2.78; 95% CI 1.78–4.35; p<0.001); SOFAcv 2 (OR 2.23; 95% CI 1.48–3.37; p<0.001); lactate 2 mmol/L (OR 1.81; 95% CI 1.19–2.74; p = 0.005) and (TIMP-2)•(IGFBP7) 0.3 (OR 1.65; 95% CI 1.08–2.52; p = 0.019) were significantly associated with AKI. For the q-AKI score, we stratified patients into different AKI Risk score levels: 0–2; 3–4; 5–6; 7–8 and 9–10. In both cohorts, we observed that the proportion of AKI patients was higher in the higher score levels.

Original languageEnglish
Article numbere0217424
JournalPLoS One
Volume14
Issue number6
DOIs
Publication statusPublished - Jun 1 2019

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)

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    Ferrari, F., Puci, M. V., Ferraro, O. E., Romero-González, G., Husain-Syed, F., Rizo-Topete, L., Senzolo, M., Lorenzin, A., Muraro, E., Baracca, A., Serrano-Soto, M., Triviño, A. M., Castro, A. C., De Cal, M., Corradi, V., Brendolan, A., Scarpa, M., Carta, M. R., Giavarina, D., ... Ronco, C. (2019). Development and validation of quick Acute Kidney Injury-score (q-AKI) to predict acute kidney injury at admission to a multidisciplinary intensive care unit. PLoS One, 14(6), [e0217424]. https://doi.org/10.1371/journal.pone.0217424