Why the study?
Acute kidney injury is frequently encountered after cardiac surgery and carries increased morbidity and mortality, prompting investigation into whether cyclophilin A can detect it early.
Does measurement of serum and urine cyclophilin A (CypA) predict the early development of postoperative acute kidney injury in patients undergoing cardiac surgery?
Does measurement of serum and urine cyclophilin A (CypA) predict the early development of postoperative acute kidney injury in patients undergoing cardiac surgery?
Serum and urine cyclophilin A, particularly when combined with uNGAL, serve as useful early biomarkers for predicting postoperative acute kidney injury in cardiac surgery patients.
Acute kidney injury (AKI) is associated with increased morbidity and mortality and is frequently encountered in cardiovascular surgical intensive care units (CVS-ICU). In this study, we aimed at investigating the utility of cyclophilin A (CypA) for the early detection of postoperative AKI in patients undergoing cardiac surgery. This was a prospective observational study conducted in a CVS-ICU of a tertiary care university hospital. All prospective clinical and laboratory data were evaluated as predictors of AKI. Serum and urine CypA, as well as urine neutrophil gelatinase-associated lipocalin (uNGAL), were examined within 6 h after cardiac surgery. The discriminative power for the prediction of AKI was evaluated using the area under the receiver operator characteristic curve (AUROC). We found that both serum CypA and urine CypA were significantly higher in the AKI group than in the non-AKI group. For discriminating AKI and dialysis-requiring AKI, serum CypA demonstrated acceptable AUROC values (0.689 and 0.738, respectively). The discrimination ability of urine CypA for predicting AKI was modest, but it was acceptable for predicting dialysis-requiring AKI (AUROC = 0.762). uNGAL best predicted the development of AKI, but its sensitivity was not good. A combination of serum CypA and uNGAL enhanced the overall performance for predicting the future development of AKI and dialysis-requiring AKI. Our results suggest that CypA is suitable as a biomarker for the early detection of postoperative AKI in CVS-ICU. However, it has better discriminating ability when combined with uNGAL for predicting AKI in CVS-ICU patients.
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Lee et al. (2019) studied this question.
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