Analysis of Risk Factors Associated with Cognitive Dysfunction in Patients with Atrial Fibrillation

Abstract

Objective: To discuss the risk factors of cognitive dysfunction in patients with atrial fibrillation. Methods: The 150 cases of patients with atrial fibrillation were analyzed in the first affiliated hospital of Nanchang University who were treated in the cardiovascular department, general medicine department and gerontology department from August 2018 to June 2019. We used Mini-Mental State Examination (MMSE) score to evaluate cognitive function of patients with atrial fibrillation. According to the level of education and MMSE score, patients with atrial fibrillation were divided into three groups: normal cognitive function group, mild cognitive impairment group (MCI) and dementia group. And then the demographic data, the previous use of taking drugs, the results of ultrasonic cardiogram (UCG) and laboratory test were analyzed. Results: 1) The basic situation of research object: a total of 150 patients with atrial fibrillation were enrolled in the study, and the average age of these patients was 65.05 ± 8.74 years old, which included 78 males (52%) and 72 females (48%). The mean MMSE score was 23.42 ± 4.65. According to MMSE score, 86 cases (57.3%) of cognitive dysfunction occurred in 150 patients with atrial fibrillation, which included 41 cases (27.3%) of mild cognitive impairment and 45 cases (30%) of dementia. 2) The comparison of general clinical data: there were significant differences in age, smoking, level of education, left ventricular ejection fraction, left atrial diameter, D-dimer, fibrinogen, homocysteine, platelet and previous use of taking warfarin, dabigatran, CCB, statins among the three groups (P < 0.05). 3) The linear correlational analysis between risk factors of cognitive function and MMSE score in patients with atrial fibrillation: there was a positive correlation between left ventricular ejection fraction and MMSE score, but age, left atrial diameter, homocysteine, low density lipoprotein, platelet, BMI, NT-proBNP, D-dimer were negatively correlated with MMSE score. 4) The risk factors with statistical significance in ANOVA were analyzed by ordinal and multinomial logistic regression, which showed that age (OR = 1.174, 95% CI: 0.091 - 0.231), the level of education (illiteracy OR = 4.162, 95% CI: -0.032 - 2.955, primary school OR = 2.751, 95% CI: -0.172 - 2.197, junior high school OR = 3.539, 95% CI: -0.048 - 2.577, senior high school and special secondary school OR = 1.332, 95% CI: -1.080 - 1.655), no CCB (OR = 1.174, 95% CI: 0.091 - 0.231), no warfarin (OR = 13.749, 95% CI: 1.480 - 3.762), no dabigatran (OR = 16.395, 95% CI: 1.462 - 4.131), D-dimer (OR = 2.745, 95% CI: -0.611 - 2.631), fibrinogen (OR = 3.228, 95% CI: 0.399 - 1.946) were related to the high occurrence of cognitive dysfunction. Conclusions: 1) Patients with atrial fibrillation had a higher risk of cognitive dysfunction (the incidence of 57.4%). 2) There was a positive correlation between left ventricular ejection fraction and MMSE score, but age, left atrial diameter, homocysteine, low density lipoprotein, platelet, BMI, NT-proBNP, and D-dimer were negatively correlated with MMSE score. 3) High level of education, previous use of taking warfarin and dabigatran etexilate were protective factors for cognitive function in patients with atrial fibrillation; but age, previous use of taking CCB, D-dimer and fibrinogen were the risk factors in patients with atrial fibrillation.