The relationship between serum SFRP1,DFR,Irisin levels and prognosis in patients with AECOPD complicated with pulmonary embolism
Objective To investigate the clinical value of serum levels of secreted frizzled related protein 1(SFRP1),D-dimer to fibrinogen ratio(DFR),Irisin in predicting prognosis in patients with acute exacerbation of Chronic Obstructive Pulmonary Disease(AECOPD)complicated with pulmonary embolism.Methods Retrospectively AECOPD patients with concurrent pulmonary embolism admitted to the Wuhan No.1 Hospital from January 2021 to December 2023were selected,and divided into a survival group of 50 cases and a death group of 10 cases based on their survival outcomes during hospitalization.Comparing the general clinical data and serum levels of SFRP1,DFR,and Irisin between two groups of patients,a logistic regression model was used to analyze the correlation between the course of AECOPD,SFRP1,DFR,and Irisin levels and adverse prognosis in AECOPD patients with pulmonary embolism.Receiver operating characteristic(ROC)curves were plotted to analyze the value of SFRP1,DFR,and Irisin in predicting adverse prognosis in AECOPD patients with pulmonary embolism.Results There was a statistically significant difference in the duration of AECOPD between the two groups of patients(P＜0.05).The differences in serum SFRP1,DFR,and Irisin levels between the two groups of patients were statistically significant(all P＜0.05).The results of logistic regression analysis showed that SFRP1,DFR,and Irisin(OR=1.022,4.991,0.719)were influencing factors on the prognosis of AECOPD patients with pulmonary embolism(all P＜0.05).The ROC curve showed that the area under the curve(AUC)of SFRP1,DFR,and Irisin for predicting adverse prognostic outcomes in AECOPD patients with pulmonary embolism was 0.844,0.920,and 0.842,respectively.Conclusions SFRP1,DFR,and Irisin are influencing factors for poor prognosis in AECOPD patients with pulmonary embolism,and have high value in predicting the prognosis of AECOPD patients with pulmonary embolism.
万方数据
维普
