Predictive value of inflammatory burden index in prognosis of patients with acute heart failure
TAN Yanjie
LI Xueyuan
Abstract:Objective To explore the predictive value of the inflammatory burden index(IBI)for the prognosis of pa-tients with acute heart failure.Methods A total of 120 patients with acute heart failure were selected.Peripheral venous blood was collected from the patients after admission to calculate the IBI.The clinical data of the patients were collected.Multivariate Logistic regression analysis was used to analyze the influencing factors for the poor prognosis of patients with acute heart failure.The receiver operating characteristic(ROC)curve was drawn to analyze the predictive value of IBI for the poor prognosis of patients with acute heart failure.Results Among the 120 patients,26 had a poor prognosis within one year after discharge and 94 had a good prognosis.The IBI of patients with poor prognosis was higher than that of patients with good prognosis(P<0.05).The results of univariate analysis showed that the NYHA classification,albumin,N-termi-nal pro-B-type natriuretic peptide(NT-proBNP),C-reactive protein,and neutrophil count in the peripheral blood of pa-tients with poor prognosis were higher than those of patients with good prognosis,while the left ventricular ejection fraction(LVEF)and lymphocyte count were lower(all P<0.05).The results of multivariate analysis showed that NYHA classifica-tion Ⅱ-Ⅲ(OR=1.747),serum NT-proBNP>3354.25 pg/mL(OR=2.678),LVEF≤44.25%(OR=3.459),and IBI>27.54(OR=4.367)were all risk factors for the poor prognosis of patients with acute heart failure(all P<0.05).The ROC curve analysis showed that the area under the curve(AUC)of IBI in predicting the poor prognosis of patients with acute heart failure was 0.845(95%CI:0.795-0.896).Conclusion IBI is abnormally elevated in acute heart failure patients with poor prognosis,and IBI has a certain predictive value for the poor prognosis in patients with acute heart failure.
Keywords:inflammatory burden indexacute heart failureprognosis of diseasepoor prognosis
Publication Date:2025-09-25
Online Publishing Date:2025-10-22(First online date of this platform, not the publication date of the document)
Pages:4( 6-9 )
