Diagnostic value of urinary kidney injury molecule 1 for acute kidney injury: a meta-analysis

• Published in: PloS one 2014-01, Vol.9 (1), p.e84131-e84131
• Main Authors: Shao, Xinghua, Tian, Lei, Xu, Weijia, Zhang, Zhen, Wang, Chunlin, Qi, Chaojun, Ni, Zhaohui, Mou, Shan
• Format: Article
• Language: English
• Subjects: Acute Kidney Injury - diagnosis; Acute Kidney Injury - urine; Analysis; Bioindicators; Biomarkers; Biomarkers - urine; Creatinine; Diagnosis; Diagnostic systems; Fatty acids; Heart diseases; Heart surgery; Hepatitis A Virus Cellular Receptor 1; Heterogeneity; Hospitals; Humans; Injuries; Injury analysis; Kidney diseases; Kidneys; Medical diagnosis; Medical ethics; Medical research; Medicine; Membrane Glycoproteins - urine; Meta-analysis; Nephrology; Odds Ratio; Patients; Prognosis; Proteins; Publication Bias; Receptors, Virus; Scientific papers; Sensitivity; Sensitivity analysis; Sensitivity and Specificity; Studies; Surgery; Urine
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0084131

Urinary Kidney Injury Molecule 1 (KIM-1) is a proximal tubular injury biomarker for early detection of acute kidney injury (AKI), with variable performance characteristics depending on clinical and population settings. Meta-analysis was performed to assess the diagnostic value of urinary KIM-1 in AKI. Relevant studies were searched from MEDLINE, EMBASE, Pubmed, Elsevier Science Direct, Scopus, Web of Science, Google Scholar and Cochrane Library. Meta-analysis methods were used to pool sensitivity and specificity and to construct summary receiver operating characteristic (SROC) curves. A total of 2979 patients from 11 eligible studies were enrolled in the analysis. Five prospective cohorts, two cross-sectional and four case-control studies were identified for meta-analysis. The estimated sensitivity of urinary KIM-1 for the diagnosis of AKI was 74.0% (95% CI, 61.0%-84.0%), and specificity was 86.0% (95% CI, 74.0%-93.0%). The SROC analysis showed an area under the curve of 0.86(0.83-0.89). Subgroup analysis suggested that population settings and detection time were the key factors affecting the efficiency of KIM-1 for AKI diagnosis. Various population settings, different definition of AKI and Serum creatinine level used as the standard might have influence on AKI diagnosis. The relatively small number of studies and heterogeneity between them also affected the evaluation. Urinary KIM-1 may be a promising biomarker for early detection of AKI with considerable predictive value, especially for cardiac surgery patients, and its potential value needs to be validated in large studies and across a broader scope of clinical settings.