Heng-Chih Pan, Shao-Yu Yang, Terry Ting-Yu Chiou, Chih-Chung Shiao, Che-Hsiung Wu, Chun-Te Huang, Tsai-Jung Wang, Jui-Yi Chen, Hung-Wei Liao, Sheng-Yin Chen, Tao-Min Huang, Ya-Fei Yang, Hugo You-Hsien Lin, Ming-Jen Chan, Chiao-Yin Sun, Yih-Ting Chen, Yung-Chang Chen, Vin-Cent Wu
BACKGROUND: Several biomarkers have been proposed to predict the occurrence of acute kidney injury (AKI); however, their efficacy varies between different trials. The aim of this study was to compare the predictive performance of different candidate biomarkers for AKI. METHODS: In this systematic review, we searched PubMed, Medline, Embase, and the Cochrane Library for papers published up to August 15, 2022. We selected all studies of adults (> 18 years) that reported the predictive performance of damage biomarkers (neutrophil gelatinase-associated lipocalin (NGAL), kidney injury molecule-1 (KIM-1), liver-type fatty acid-binding protein (L-FABP)), inflammatory biomarker (interleukin-18 (IL-18)), and stress biomarker (tissue inhibitor of metalloproteinases-2 × insulin-like growth factor-binding protein-7 (TIMP-2 × IGFBP-7)) for the occurrence of AKI...
November 12, 2022: Critical Care: the Official Journal of the Critical Care Forum