Clinical Trial Of MiR-133a And MiR-499a-5p For Diagnosis And Prognosis Of Sepsis Induced Cardiomyopathy

Objective: To investigate the value of miR-133 a and miR-499a-5p in diagnosing sepsis-induced cardiomyopathy(SIC)and predicting mortality in patients with SIC.Methods: Blood samples collected from 70 septic patients were examined for serum levels of miR-133 a and miR-499a-5p using Real-Time PCR.The comparison was made between patients with sepsis-induced cardiomyopathy(SIC)and patients without SIC(control)according to the diagnostic criteria.The patients were followed up for 28 days to record their survival.Pearson correlation analysis was used to test the correlations of miR-133 a and miR-499a-5p with Troponin I(cTnI),creatine kinase-MB(CK-MB),N-terminal B-type natriuretic peptide(NT-proBNP)and Left ventricular ejection fraction(LVEF)in patients with SIC.The diagnostic value of miR-133 a and miR-499a-5p for SIC was analyzed using ROC curve.Multivariate logistic regression analysis was used to analyze the correlations of miR-133 a,miR-499a-5p and other risk factors with the 28-day mortality in patients with sepsis.The predictive value of these indicators for evaluating the prognosis of SIC was analyzed using ROC curve.Result: The expression levels of miR-133 a and miR-499a-5p in patients with SIC(n=54)were both significantly higher than in patients without SIC(n=16)(p<0.05).Pearson correlation analysis showed that miR-133 a and miR-499a-5p were positively correlated with cTnI levels(miR-133a:r=0.329,P=0.005;miR-499a-5p:r=0.574,P=0.000);The area under the ROC curve of miR-133 a,miR-499a-5p and miR-29 a combined with miR-10a-5p was 0.676,0.737 and 0.758.During the follow-up for 28 days,19 of the 54(35.2%)SIC patients died;Logistic regression analysis indicated that miR-133 a was independent risk factor for the 28-day mortality of SIC patients;The ROC curve analysis showed that the area under the curve(AUC)of miR-133 a was 0.826(95%CI: 0.703?0.948).Conclusion MiR-133 a and miR-499a-5p can be novel biomarkers for the diagnosis of SIC.miR-133 a have good predictive value in assessing the 28-day mortality of patients with SIC.