Urinary biomarkers predict advanced acute kidney injury after cardiovascular surgery

Jian Jhong Wang, Nai Hsin Chi, Tao Min Huang, Rory Connolly, Liang Wen Chen, Shih Chieh Jeff Chueh, Wei Chih Kan, Chih Cheng Lai, Vin Cent Wu*, Ji Tseng Fang, Tzong Shinn Chu, Kwan Dun Wu

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

43 Scopus citations

Abstract

Background: Acute kidney injury (AKI) after cardiovascular surgery is a serious complication. Little is known about the ability of novel biomarkers in combination with clinical risk scores for prediction of advanced AKI. Methods: In this prospectively conducted multicenter study, urine samples were collected from 149 adults at 0, 3, 6, 12 and 24 h after cardiovascular surgery. We measured urinary hemojuvelin (uHJV), kidney injury molecule-1 (uKIM-1), neutrophil gelatinase-associated lipocalin (uNGAL), α-glutathione S-transferase (uα-GST) and π-glutathione S-transferase (uπ-GST). The primary outcome was advanced AKI, under the definition of Kidney Disease: Improving Global Outcomes (KDIGO) stage 2, 3 and composite outcomes were KDIGO stage 2, 3 or 90-day mortality after hospital discharge. Results: Patients with advanced AKI had significantly higher levels of uHJV and uKIM-1 at 3, 6 and 12 h after surgery. When normalized by urinary creatinine level, uKIM-1 in combination with uHJV at 3 h post-surgery had a high predictive ability for advanced AKI and composite outcome (AUC=0.898 and 0.905, respectively). The combination of this biomarker panel (normalized uKIM-1, uHJV at 3 h post-operation) and Liano's score was superior in predicting advanced AKI (AUC=0.931, category-free net reclassification improvement of 1.149, and p< 0.001). Conclusions: When added to Liano's score, normalized uHJV and uKIM-1 levels at 3 h after cardiovascular surgery enhanced the identification of patients at higher risk of progression to advanced AKI and composite outcomes.

Original languageEnglish
Article number108
JournalCritical Care
Volume22
Issue number1
DOIs
StatePublished - 26 04 2018

Bibliographical note

Publisher Copyright:
© 2018 The Author(s).

Keywords

  • Acute kidney injury
  • Biomarkers
  • Hemojuvelin
  • Kidney injury molecule-1
  • Liano's score
  • Neutrophil gelatinase-associated lipocalin
  • α-Glutathione S-transferase
  • π-Glutathione S-transferase

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