| Objective:To evaluate the efficacy of serum cystatin C(CysC)in assessing the severity of patients with Acute heart failure(AHF)and the evaluation of b-type natriuretic peptide(BNP)。Methods:Continuous collection in October 2016-August 2017 in the first hospital of shanxi medical university heart accept with hospitalized patients with acute heart failure in 94 cases,after treatment with standard discharge,according to whether the BNP is a 30% drop in hospital,divided into the BNP ≧ 30% drop in the hospital group and NBNP hospital down < 30% group.Again according to CysC value equal to 1.36 as the cut-off point,divided into CysC ≧ 1.36 group and CysC < 1.36 group,at the same time in the heart,with no history,signs and symptoms of acute heart failure in patients with 47 cases as control group,in 90 days of follow-up,records in the two groups for cardiac reasons for readmission and death situation,comparing and readmission to the hospital for cardiac causes。Results:1.There was no statistically significant difference between the experimental group and the control group in age,gender and general biochemical indicators(P BBB 0 0.05).The BNP,LVEDd,CysC,Cr,Bu and UA of the experimental group were higher than the control group,while LVEF was significantly lower than the control group,with statistically significant differences(P<0.001).2.Compared with the admission rate,BNP was less than 30%,and the mortalityrate was significantly higher than that of the BNP(P<0.05).3.The rate of readmission and mortality was significantly higher than that in the low CysC group(P<0.05).4.Logistic regression analysis,CysC,BNP level rise,is an independent risk factor affecting the prognosis of heart failure.5.The area under the curve of CysC and BNP was 0.752(95% confidence interval,0.655-0.850,P<0.001)and 0.911(95% confidence interval of 0.848-0.975,P<0.001)。Conclusion:CysC detection and BNP can be used as an indicator to evaluate the readmission rate and mortality rate of heart failure,and can also be used as an indicator in the evaluation model of heart failure。... |