RESUMEN
Objective: To investigate the relationship between apolipoprotein E (ApoE) gene polymorphism and cognitive impairment (PSCI) in patients after acute ischemic stroke (AIS). Methods: A total of 150 AIS patients were treated in Chengde Central Hospital from December 2022 to December 2023 and were selected and divided into a disorder group (n=88) and a normal group (n=62) according to the presence or absence of PSCI. Clinical data of patients in the two groups were collected, ApoE genotype and allele distribution of patients in the disabled group and the normal group were detected, Montreal Cognitive Assessment and Mini-Mental State Examination scores of patients with different ApoE gene subtypes were compared, and the risk factors of PSCI after AIS were analyzed by unconditional Logistic regression. Results: The proportion of patients with acute lesions (≥3.0 cm) and the degree of carotid artery stenosis (moderate, severe, complete occlusion) in the disorder group was higher than that in the normal group, and the National Institutes of Health Stroke Scale score was higher than that in the control group, with statistical significance (P < .05). There were significant differences in the genotype and allelic distribution of ApoE between the two groups (P < .05). In both groups, the highest genotype frequency of ApoE was the ε3/3 homozygous type, which was 47.73% (in the disorder group) and 72.58% (in the normal group) respectively. In contrast, there were no significant differences in the genotype frequencies of ε2/2, ε2/3, ε2/4 and ε4/4 alleles in the two groups (P > .05). This means that in both groups of patients, the frequency of the ApoE ε3/3 genotype was the highest, while the genotype frequencies of ε2/2, ε2/3, ε2/4 and ε4/4 alleles were not significant between the two groups. difference. The distribution differences of these genotypes and alleles may be related to aspects such as disease risk and physiological function, providing valuable information for in-depth exploration of the role of ApoE in patients. The genotype frequency of ε3/3 in the disorder group was lower than that in the normal group. The frequency of the ε3/4 genotype was higher than that of the normal group, and the difference was statistically significant (P < .05). In both groups, the highest allele frequency was ε3 (68.75% in the disorder group and 83.06% in the normal group), and there was no difference in the frequency of ε2 allele between the two groups (P > .05). The frequency of the ε3 allele in the disorder group was lower than that in the normal group, and the frequency of the ε4 allele was higher than that in the normal group, the difference was statistically significant (P < .05). In the patients with cognitive impairment after AIS (disorder group), the MOCA and MMSE scores of patients with different ApoE subtypes (ε2, ε3, ε4) were compared, and the differences among the three groups were statistically significant (P < .05). The MOCA and MMSE scores in the ε4 group were lower than those in the ε2 and ε3 groups. The difference was statistically significant (P < .05). Logistic regression analysis showed that the degree of carotid artery stenosis, NIHSS score, and ApoEε4 gene were independent risk factors for PSCI in patients with AIS (P < .05). Conclusion: APOE gene polymorphism is associated with cognitive impairment in post-AIS patients, and carrying the ApoE Epsilon 4 gene may be associated with PSCI in post-AIS patients.
RESUMEN
Background: Stroke ranks first among disease fatalities, and those who do survive stroke are prone to cognitive impairment. The aim of this study was to explore the clinical characteristics of post stroke cognitive impairment (PSCI) and the risk factors of PSCI using multivariate logistic regression. Methods: January 2018 to January 2021, the clinical data of 120 patients treated for cerebral ischemic stroke (CIS) at Chengde Central Hospital were retrospectively analyzed. In this study, patients were divided into 2 groups: a control group and a cognitive impairment group. The clinical characteristics of cognitive impairment following CIS were determined using multivariate logistic regression analysis to examine the risk factors and identify clinical implications. Results: This study included the assessment of overall cognitive function and daily living activities of 120 participants, 68 of whom experienced cognitive impairment, representing an incidence of 57%, while 43% patients represented no cognitive impairment after CIS. After the careful analysis of the data, there were remarkable differences in age, sex, education level, stroke history, infarction area, and infarction location (P<0.05). There was no remarkable difference in the history of hypertension, diabetes, atrial fibrillation, carotid intima thickness, smoking, or drinking (P>0.05). The degree of white matter degeneration, brain atrophy, and dominant hemisphere involvement was higher in the cognitive impairment group (P<0.05). The results of multivariate logistic regression analysis indicated that sex, age, education level, stroke history, infarction size, and infarction location were the main risk factors for cognitive impairment after CIS (P<0.05). Conclusions: Patients with cognitive impairment after CIS have imaging features of white matter degeneration, brain atrophy, and involvement of dominant hemispheres. The results of multivariate logistic regression analysis indicated that sex, age, education level, stroke history, infarct size, and infarct location were main risk factors of cognitive impairment after CIS.