Zheng Qin1,2,3, Hancong Li4, Pengcheng Jiao4, Luojia Jiang1,2,3, Jiwen Geng1,2,3, Qinbo Yang1,2,3, Ruoxi Liao1,2,3, Baihai Su1,2,3. 1. Department of Nephrology, National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, China. 2. Med-X Center for Materials, Sichuan University, Chengdu, China. 3. Med + Biomaterial Institute of West China Hospital/West China School of Medicine of Sichuan University, Chengdu, China. 4. West China School of Medicine, West China Hospital of Sichuan University, Chengdu, China.
Abstract
AIMS: The aim of this study was to systematically review relevant studies to evaluate the value of urinary interleukin-18 (uIL-18) in predicting acute kidney injury (AKI). METHODS: A comprehensive search of PubMed, Medline, Embase, and Cochrane Library was conducted for literature published up to 1 August 2022. Quality Assessment Tool for Diagnostic Accuracy Studies-2 (QUADAS-2) was applied to assess the literature quality. Then, relevant data were extracted from each eligible study and a random-effects regression model was utilized to pool sensitivity, specificity, and construct summary receiver operating characteristic (SROC) and area under curve (AUC). RESULTS: Twenty-six studies with 7183 patients were enrolled and relevant information was extracted. The estimated sensitivity and specificity of uIL-18 in the diagnosis of AKI were 0.64 (95% confidence interval (CI): 0.54-0.73) and 0.77 (95%CI: 0.71-0.83), respectively. The pooled diagnostic odds ratio (DOR) was 6.08 (95%CI: 3.63-10.18), and the AUC of uIL-18 in predicting AKI was 0.78 (95%CI: 0.74-0.81). Subgroup analysis showed that uIL-18 in pediatric patients was more effective in predicting AKI than in adults (DOR: 7.33 versus 5.75; AUC: 0.81 versus 0.77). CONCLUSIONS: Urinary IL-18 could be a relatively good biomarker with moderate predictive value for AKI, especially in pediatric patients. However, further research and clinical settings are still needed to validate our findings.
AIMS: The aim of this study was to systematically review relevant studies to evaluate the value of urinary interleukin-18 (uIL-18) in predicting acute kidney injury (AKI). METHODS: A comprehensive search of PubMed, Medline, Embase, and Cochrane Library was conducted for literature published up to 1 August 2022. Quality Assessment Tool for Diagnostic Accuracy Studies-2 (QUADAS-2) was applied to assess the literature quality. Then, relevant data were extracted from each eligible study and a random-effects regression model was utilized to pool sensitivity, specificity, and construct summary receiver operating characteristic (SROC) and area under curve (AUC). RESULTS: Twenty-six studies with 7183 patients were enrolled and relevant information was extracted. The estimated sensitivity and specificity of uIL-18 in the diagnosis of AKI were 0.64 (95% confidence interval (CI): 0.54-0.73) and 0.77 (95%CI: 0.71-0.83), respectively. The pooled diagnostic odds ratio (DOR) was 6.08 (95%CI: 3.63-10.18), and the AUC of uIL-18 in predicting AKI was 0.78 (95%CI: 0.74-0.81). Subgroup analysis showed that uIL-18 in pediatric patients was more effective in predicting AKI than in adults (DOR: 7.33 versus 5.75; AUC: 0.81 versus 0.77). CONCLUSIONS: Urinary IL-18 could be a relatively good biomarker with moderate predictive value for AKI, especially in pediatric patients. However, further research and clinical settings are still needed to validate our findings.
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