Study on the risk factors of heart failure in patients with non-valvular atrial fibrillation

Abstract

Objective To study the related factors of heart failure in patients with non-valvular atrial fibrillation. Methods Eighty patients with non-valvular atrial fibrillation were selected from the First People′s Hospital of Wucheng District of Jinhua City from August 2015 to April 2019. Patients with atrial fibrillation were divided into non-heart failure group (56 patients) and heart failure group (24 patients) according to the presence or absence of heart failure. The general characteristics of the two groups were compared with univariate analysis and Logistic analysis. Results There was no significant difference in average age, sex, body mass index, hypertension, hypercholesterolemia, diabetes mellitus, coronary heart disease, stroke, hemoglobin, white blood cell and red blood cell volume between the two groups (P>0.05). There were significant differences in the classification of atrial fibrillation, red blood cell distribution width (RDW) and serum creatinine (P<0.05).Multivariate Logistic regression analysis showed that RDW and serum creatinine were independent predictors of heart failure in patients with non-valvular atrial fibrillation (OR=3.08 and 1.03, P<0.05). The probability of heart failure in persistent atrial fibrillation, long-term persistent atrial fibrillation or permanent atrial fibrillation was 3.87 and 4.10 times higher than that of paroxysmal atrial fibrillation (P<0.05). Receptor operation character (ROC) curve analysis showed that the maximum Youden index of RDW was 14.00%, and the sensitivity and specificity for predicting heart failure were 55.7% and 87.7%, respectively. Conclusions Classification of atrial fibrillation, RDW and serum creatinine may be independent predictors of heart failure in patients with non-valvular atrial fibrillation. RDW>14.00% has certain value in predicting heart failure in patients with non-valvular atrial fibrillation. Key words: Atrial fibrillation; Heartfailure; Red blood cell distribution width; Risk factors