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Diagnostic performance of cyclophilin a in cardiac surgery-associated acute kidney injury

  • Cheng Chia Lee
  • , Chih Hsiang Chang
  • , Ya Lien Cheng
  • , George Kuo
  • , Shao Wei Chen
  • , Yi Jung Li
  • , Yi Ting Chen
  • , Ya Chung Tian*
  • *此作品的通信作者
  • Chang Gung University

研究成果: 期刊稿件文章同行評審

11 引文 斯高帕斯(Scopus)

摘要

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.

原文英語
文章編號108
期刊Journal of Clinical Medicine
9
發行號1
DOIs
出版狀態已出版 - 01 2020

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© 2019 by the authors. Licensee MDPI, Basel, Switzerland.

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