1. Factors influencing cognitive function in patients with atrial fibrillation: a cross-sectional clinical study
- Author
-
Jian Li, Pingping Yan, Xinping Luo, Haiming Shi, Nanqing Xiong, Bangwei Wu, and Jun Shen
- Subjects
Male ,Medicine (General) ,medicine.medical_specialty ,Clinical Research Reports ,Memory and Executive Screening ,CHA2DS2VASc score ,030204 cardiovascular system & hematology ,Biochemistry ,Clinical study ,Executive Function ,03 medical and health sciences ,R5-920 ,Cognition ,0302 clinical medicine ,Memory ,Risk Factors ,Internal medicine ,medicine ,Humans ,In patient ,anticoagulation ,Normal Sinus Rhythm ,cognitive function ,Aged ,Mini–Mental State Examination ,medicine.diagnostic_test ,business.industry ,Biochemistry (medical) ,Atrial fibrillation ,Cell Biology ,General Medicine ,Mental Status and Dementia Tests ,medicine.disease ,Cross-Sectional Studies ,Logistic Models ,Case-Control Studies ,Multivariate Analysis ,Cardiology ,Mini-Mental State Examination ,Female ,business ,030217 neurology & neurosurgery - Abstract
Background The factors that influence cognitive function in patients with atrial fibrillation (AF) remain unclear. Methods This study involved an AF group and control group (normal sinus rhythm) of 150 patients each. Cognitive function was assessed with the adjusted Mini-Mental State Examination (MMSEadj) score and Memory and Executive Screening (MES) score. The relationship between cognitive function and the CHA2DS2VASc score was analyzed. Subgroup analysis was performed according to stroke history. Clinical factors affecting the MMSE score were screened by logistic regression analysis. Results Baseline data were similar between the two groups. The MMSEadj and MES scores were significantly lower in the AF than control group; the mean MMSEadj score in the AF non-stroke subgroup and control non-stroke subgroup was 26.2 ± 2.7 and 27.9 ± 2.0, respectively. In non-stroke patients with AF, the MMSEadj and MES scores were negatively correlated with the CHA2DS2VASc score. Factors significantly influencing the MMSE score in these patients were age, education, smoking history, NT-proB-type natriuretic peptide, hemoglobin, and anticoagulation. Conclusion AF is associated with cognitive dysfunction regardless of stroke history. High CHA2DS2VASc scores are associated with impaired cognitive function. Factors influencing cognitive function in non-stroke patients with AF are age, education, smoking history, NT-proB-type natriuretic peptide, hemoglobin, and anticoagulation.
- Published
- 2019