• Users Online: 123
  • Home
  • Print this page
  • Email this page
Home About us Editorial board Ahead of print Current Articles Search Archives Submit article Instructions Subscribe Contacts Login 
Year : 2022  |  Volume : 4  |  Issue : 1  |  Page : 11

Urinary Tissue Inhibitor of Metalloproteinase-2 and Insulin-Like Growth Factor-Binding Protein 7 Enhanced Risk Prediction for Initiation of Renal Replacement Therapy in Postoperative Patients with Acute Kidney Injury: A Prospective Cohort Study

Department of Surgical Intensive Care Unit, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China

Correspondence Address:
Dr. Wenxiong Li
Department of Surgical Intensive Care Unit, Beijing Chao-Yang Hospital, Capital Medical University, 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing 100020
Login to access the Email id

Source of Support: None, Conflict of Interest: None

DOI: 10.4103/JTCCM-D-22-00002

Rights and Permissions

Introduction: The current study is to identify the performance of urinary tissue inhibitors of metalloproteinase-2 (TIMP-2) and insulin-like growth factor-binding protein 7 (IGFBP7) for predicting renal replacement therapy (RRT) initiation and mortality in postoperative acute kidney injury (AKI) patients. Methods: Postoperative AKI patients were prospectively and consecutively enrolled. The biomarkers of urinary TIMP-2 and IGFBP7 were detected at the time AKI diagnosed (day 0) and 24 h later (day 1). The primary endpoint was the initiation of RRT, and the secondary endpoint was 30-day mortality. The receiver operating characteristic (ROC) curve was used to assess the performance of biomarkers for the prediction of RRT requirement. Results: There were 220 AKI patients enrolled in this study. Among the 220 patients, 33 (15.0%) initiated RRT during intensive care units period. Urinary (TIMP-2) × (IGFBP7), TIMP-2 and IGFBP7 on day 1 had fair performance for predict RRT initiation, the predictive area under the ROC curve (AUC) were 0.792 (0.732, 0.843), 0.784 (0.724, 0.837), and 0.770 (0.709, 0.824), respectively, with no significant difference. When they combined with clinically independent risk factors (nonrenal sequential organ failure assessment score, duration of surgery procedure, and serum creatinine at the time of AKI diagnosed) to construct predictive models for predicting RRT. The AUCs were greatly improved to be good. The best AUC was achieved by TIMP-2, which was 0.866 (0.814, 0.908). All of the biomarkers performed poor predictive values for predicting 30-day mortality. Conclusion: Urine concentrations of (TIMP-2) × (IGFBP7), TIMP-2 alone, and IGFBP7 alone on AKI day 1 show fair value for prediction of RRT initiation. However, they fail to predict 30-day mortality.

Print this article     Email this article
 Next article
 Previous article
 Table of Contents

 Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
 Citation Manager
 Access Statistics
 Reader Comments
 Email Alert *
 Add to My List *
 * Requires registration (Free)

 Article Access Statistics
    PDF Downloaded45    
    Comments [Add]    

Recommend this journal