Jiwen Geng1, Yuxuan Qiu2, Zheng Qin1, Baihai Su3. 1. Department of Nephrology, West China Hospital, Sichuan University, Chengdu, 610041, China. 2. Department of Ultrasound, West China Hospital, Sichuan University, Chengdu, 610041, China. 3. Department of Nephrology, West China Hospital, Sichuan University, Chengdu, 610041, China. imsbh@163.com.
Abstract
INTRODUCTION: The aim of the study was to systematically review relevant studies to evaluate the diagnostic value of urinary kidney injury molecule 1 (uKIM-1) for acute kidney injury (AKI) in adults. METHOD: We searched PubMed and Embase for literature published up to November 1st, 2019 and used the Quality Assessment Tool for Diagnosis Accuracy Studies (QUADAS-2) to assess the quality. Then, we extracted useful information from each eligible study and pooled sensitivity, specificity, and area under the curve (AUC) values. RESULTS: A total of 14 studies with 3300 patients were included. The estimated sensitivity of urinary KIM-1 (uKIM-1) in the diagnosis of AKI was 0.74 (95% CrI 0.62-0.84), and the specificity was 0.84 (95% CrI, 0.76-0.90). The pooled diagnostic odds ratio (DOR) was 15.22 (95% CrI, 6.74-42.20), the RD was 0.55 (95% CrI 0.43-0.70), and the AUC of uKIM-1 in diagnosing AKI was 0.62 (95% CrI 0.41-0.76). The results of the subgroup analysis showed the influence of different factors. CONCLUSION: Urinary KIM-1 is a good predictor for AKI in adult patients with relatively high sensitivity and specificity. However, further research and clinical trials are still needed to confirm whether and how uKIM-1 can be commonly used in clinical diagnosis.
INTRODUCTION: The aim of the study was to systematically review relevant studies to evaluate the diagnostic value of urinary kidney injury molecule 1 (uKIM-1) for acute kidney injury (AKI) in adults. METHOD: We searched PubMed and Embase for literature published up to November 1st, 2019 and used the Quality Assessment Tool for Diagnosis Accuracy Studies (QUADAS-2) to assess the quality. Then, we extracted useful information from each eligible study and pooled sensitivity, specificity, and area under the curve (AUC) values. RESULTS: A total of 14 studies with 3300 patients were included. The estimated sensitivity of urinary KIM-1 (uKIM-1) in the diagnosis of AKI was 0.74 (95% CrI 0.62-0.84), and the specificity was 0.84 (95% CrI, 0.76-0.90). The pooled diagnostic odds ratio (DOR) was 15.22 (95% CrI, 6.74-42.20), the RD was 0.55 (95% CrI 0.43-0.70), and the AUC of uKIM-1 in diagnosing AKI was 0.62 (95% CrI 0.41-0.76). The results of the subgroup analysis showed the influence of different factors. CONCLUSION: Urinary KIM-1 is a good predictor for AKI in adult patients with relatively high sensitivity and specificity. However, further research and clinical trials are still needed to confirm whether and how uKIM-1 can be commonly used in clinical diagnosis.
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