OBJECTIVE: To investigate the value of miR-29a and miR-10a-5p in predicting 28-day mortality in patients with sepsis-induced acute kidney injury. METHODS: Seventy-four patients with sepsis-induced acute kidney injury (AKI) and 41 patients with sepsis but without AKI (control) were examined for serum levels of miR-29a and miR-10a-5p using RT-PCR. The patients were followed up for 28 days to record their survival. Pearson correlation analysis was used to test the correlations of miR-29a and miR-10a-5p with serum creatinine (Scr), cystatin C (Cys-C), and KIM-1 in patients with AKI. Multivariate logistic regression analysis was used to analyze the correlations of miR-29a, miR-10a-5p, Scr, Cys-C, KIM-1 and other risk factors with the 28-day mortality in patients with sepsis. The predictive value of these indicators for evaluating the prognosis of patients with sepsis was analyzed using ROC curve, and miR-29a combined with miR-10a-5p was assessed for their value in predicting the prognosis of the patients. RESULT: During the follow-up for 28 days, 21 of the 74 (35.53%) AKI patients died. Compared with the survivors, the patients died within 28 days showed significantly increased serum levels of Scr , Cys-C, KIM-1, miR-29a, and miR-10a-5p (P<0.05). Pearson correlation analysis showed that miR-29a and miR-10a-5p were positively correlated with serum Scr, Cys-C, and KIM-1 levels; multivariate regression analysis identified miR-29a and miR-10a-5p as the independent risk factors for mortality in the septic patients. The ROC curve analysis showed that the area under the curve (AUC) of miR-29a and miR-10a-5p was 0.82 (95%CI: 0.71-0.89) and 0.75 (95%CI: 0.64-0.85), and that of Scr, Cys-C and KIM-1 was 0.72 (95%CI: 0.66-0.86) , 0.71 (95% CI: 0.63-0.84) and 0.81 (95% CI: 0.72-0.81), respectively. The AUC of miR-29a combined with miR-10a-5p was significantly greater than that of miR-29a, miR-10a-5p, Scr, Cys-C and KIM-1 alone (P<0.05). CONCLUSION: miR-29a and miR-10a-5p have good predictive value in assessing the 28-day mortality of patients with sepsis.
OBJECTIVE: To investigate the value of miR-29a and miR-10a-5p in predicting 28-day mortality in patients with sepsis-induced acute kidney injury. METHODS: Seventy-four patients with sepsis-induced acute kidney injury (AKI) and 41 patients with sepsis but without AKI (control) were examined for serum levels of miR-29a and miR-10a-5p using RT-PCR. The patients were followed up for 28 days to record their survival. Pearson correlation analysis was used to test the correlations of miR-29a and miR-10a-5p with serum creatinine (Scr), cystatin C (Cys-C), and KIM-1 in patients with AKI. Multivariate logistic regression analysis was used to analyze the correlations of miR-29a, miR-10a-5p, Scr, Cys-C, KIM-1 and other risk factors with the 28-day mortality in patients with sepsis. The predictive value of these indicators for evaluating the prognosis of patients with sepsis was analyzed using ROC curve, and miR-29a combined with miR-10a-5p was assessed for their value in predicting the prognosis of the patients. RESULT: During the follow-up for 28 days, 21 of the 74 (35.53%) AKI patients died. Compared with the survivors, the patients died within 28 days showed significantly increased serum levels of Scr , Cys-C, KIM-1, miR-29a, and miR-10a-5p (P<0.05). Pearson correlation analysis showed that miR-29a and miR-10a-5p were positively correlated with serum Scr, Cys-C, and KIM-1 levels; multivariate regression analysis identified miR-29a and miR-10a-5p as the independent risk factors for mortality in the septic patients. The ROC curve analysis showed that the area under the curve (AUC) of miR-29a and miR-10a-5p was 0.82 (95%CI: 0.71-0.89) and 0.75 (95%CI: 0.64-0.85), and that of Scr, Cys-C and KIM-1 was 0.72 (95%CI: 0.66-0.86) , 0.71 (95% CI: 0.63-0.84) and 0.81 (95% CI: 0.72-0.81), respectively. The AUC of miR-29a combined with miR-10a-5p was significantly greater than that of miR-29a, miR-10a-5p, Scr, Cys-C and KIM-1 alone (P<0.05). CONCLUSION:miR-29a and miR-10a-5p have good predictive value in assessing the 28-day mortality of patients with sepsis.
Authors: Ravindra L Mehta; John A Kellum; Sudhir V Shah; Bruce A Molitoris; Claudio Ronco; David G Warnock; Adeera Levin Journal: Crit Care Date: 2007 Impact factor: 9.097
Authors: Lukas Buendgens; Eray Yagmur; Jan Bruensing; Ulf Herbers; Christer Baeck; Christian Trautwein; Alexander Koch; Frank Tacke Journal: J Intensive Care Date: 2017-03-20
Authors: Jesús Beltrán-García; Rebeca Osca-Verdegal; Elena Nacher-Sendra; Federico V Pallardó; José Luis García-Giménez Journal: Cells Date: 2020-06-25 Impact factor: 6.600