Renal resistive index as predictor of acute kidney injury after major surgery: A systematic review and meta-analysis

被引:30
作者
Bellos, Ioannis [1 ]
Pergialiotis, Vasilios [1 ]
Kontzoglou, Konstantinos [1 ,2 ]
机构
[1] Natl & Kapodistrian Univ Athens, Lab Expt Surg & Surg Res NS Christeas, Athens Univ Med Sch, Athens, Greece
[2] Natl & Kapodistrian Univ Athens, Dept Propedeut Surg 2, Laikon Gen Hosp, Athens, Greece
关键词
Renal resistive index; Postoperative; Acute kidney injury; Surgery; Meta-analysis; DIAGNOSTIC-TEST ACCURACY; A AORTIC DISSECTION; CARDIAC-SURGERY; RISK-FACTORS; PROGNOSTIC-SIGNIFICANCE; URINARY BIOMARKERS; TRANSESOPHAGEAL; ASSOCIATIONS; DEFINITION; MORTALITY;
D O I
10.1016/j.jcrc.2018.11.001
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
Purpose: To determine the efficacy of Doppler renal resistive index in the prediction of acute kidney injury after major surgery. Methods: A systematic review and meta-analysis of cohort studies was conducted. Medline (1966-2018), Scopus (2004-2018), Clinicaltrials.gov (2008-2018) and Google Scholar (2004-2018) databases were systematically searched. Prospective studies that examined the diagnostic accuracy of renal resistive index in postoperative acute kidney injury were included. Results: The meta-analysis was based on 10 studies, including a total number of 911 patients. Patients who developed acute kidney injury presented higher renal resistive index values preoperatively (MD: 0.02, 95% CI: [0.00-0.03]), immediately after surgery (MD: 0.07, 95% CI: [0.04-0.11]) and 24 hours postoperatively (MD: 0.07, 95% CI: [0.04-0.09]). The pooled sensitivity was 81.8%, the specificity 77.6% and the area under the curve 0.866. Fagan's nomogram indicated that the post-test probability was increased to 60.6% (positive test) and decreased to 9.5% (negative test), when the pre-test probability was 30%. Conclusions: Renal resistive index represents a useful marker with fair performance in the prediction of postoperative acute kidney injury. Future cohorts should establish the optimal timing of measurement and evaluate the most appropriate cut-off value that should be used in the clinical setting. (C) 2018 Elsevier Inc. All rights reserved.
引用
收藏
页码:36 / 43
页数:8
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