Clinical value of serum miR-320-3p expression in predicting the prognosis of sepsis-induced acute kidney injury

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Abstract

Background: For investigating the expression of miR-320-3p in children with sepsis-induced acute kidney injury (AKI) and its prognostic value. Methods: A total of 142 patients were grouped into a survival group (n = 95) and death group (n = 47), which was based on their 28-day survival. Serum degrees of miR-320-3p, neutrophil gelatinase-associated lipid carrier protein (NGAL) and kidney injury molecule-1 (KIM-1) were detected. The Acute Physiology and Chronic Health scoring system Ⅱ (APACHE Ⅱ) marks were recorded. Target gene forecast and functional enrichment discussion of miR-320-3p were performed, and a protein–protein interaction (PPI) network diagram was plotted by applying bioinformatics methods. Multivariate logistic regression, ROC curve and Pearson correlation analysis were applied. Results: The death group showed greatly higher serum levels of miR-320-3p, KIM-1 and APACHE Ⅱ scores than the survival group (p < 0.01). Multivariate logistic regression analysis showed that levels of miR-320-3p, NGAL, KIM-1 and APACHE Ⅱ scores were independent risk elements for death in sepsis children with AKI (p < 0.01). According to ROC curve analysis, the region under the curve (0.963, 95% CI: 0.908–0.996) of miR-320-3p, NGAL, KIM-1 levels and APACHE Ⅱ scores combined to forecast the death of kids suffering from sepsis and AKI were the biggest. According to correlation analysis, the expression degree of serum miR-320-3p in the death group was positively correlated with NGAL, KIM-1 and APACHE Ⅱ scores (all p < 0.01). Conclusions: The expression level of serum miR-320-3p in children with sepsis-induced AKI was significantly increased, and the combination of NGAL, KIM-1 and APACHE Ⅱ scores has good value for prognosis prediction in children.

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APA

Ji, J., Luo, H., & Shi, J. (2022). Clinical value of serum miR-320-3p expression in predicting the prognosis of sepsis-induced acute kidney injury. Journal of Clinical Laboratory Analysis, 36(5). https://doi.org/10.1002/jcla.24358

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