Objective To evaluate the risk factors for cognitive impairment and their interactions in acute ischemic stroke (IS) patients. Methods IS patients admitted to the Department of Neurology, the People’s Hospital of Mianyang between January 2019 and January 2022 were selected. Patients were divided into a cognitive impairment group and a cognitive normal group. The demographic characteristics and clinical data of the subjects were collected, and the traditional risk factors for cognitive impairment were determined by univariate and multivariate logistic regression analysis. The multifactor dimensionality reduction test was used to detect the possible interactions between risk factors. Results A total of 255 patients were included. Among them, 88 cases (34.5%) in the cognitive impairment group and 167 cases (65.5%) in the cognitive normal group. The results of factor logistic regression analysis showed that after adjusting for covariates, big and medium infarction volume, severe IS, moderate to severe carotid artery stenosis as well as high hypersensitive C-reactive protein (hs-CRP) were associated with post-IS cognitive impairment (P<0.05). The cognitive impairment increased by 22.632 times [odds ratio=22.632, 95% confidence interval (5.980, 85.652), P<0.001] in patients with big and medium infarction volume, severe IS and high hs-CRP. Conclusions The cognitive impairment is common in acute IS. Patients with big and medium infarction volume, non-mild stroke, carotid artery stenosis, high hs-CRP, and non-right sided infarction are prone to cognitive impairment, and there are complex interactions among these risk factors.
Objective To investigate the influencing factors of moderate to severe disability in migraine patients. Methods Patients diagnosed with migraine between September 2022 and January 2024 in the outpatient service or inpatient Department of Neurology of Baotou Central Hospital and Baotou Eighth Hospital were included. According to the scores of the Migraine Disability Assessment questionnaire, patients were divided into a group with no or mild disabilities and a group with moderate to severe disabilities. The sociodemographic, disease characteristics, and scale datas of two groups of patients were collected, and a multivariate logistic regression model was used to explore the influencing factors of moderate to severe disability in migraine patients. Results A total of 116 patients were included. Among them, there were 49 cases in the group with no or mild disabilities, and 67 cases in the group with moderate to severe disabilities. There were statistically significant differences in gender, duration of headache, severity of headache, number of headache days per month, drug overuse, the scores of Generalized Anxiety Disorder-7 scale, the scores of Patient Health Questionnaire-9 scale, the scores of Pittsburgh Sleep Quality Index scale, the scores of Headache Impact Test scale, the scores of Montreal Cognitive Assessment scale, and the scores of 36-item Short-Form Health Survey questionnaires between the two groups (P<0.05). There was no statistically significant difference in other sociodemographic information and disease characteristics between the two groups of patients (P>0.05). The results of multivariate logistic regression analysis showed that the number of headache days per month, the scores of Generalized Anxiety Disorder-7 scale, the scores of Headache Impact Test scale, and the scores of 36-item Short-Form Health Survey questionnaire were independent influencing factors for moderate to severe disability in migraine patients (P<0.05). Conclusions Headache duration, anxiety disorders and health-related quality of life are influencing factors for moderate to severe disability in migraine patients. Early screening and intervention of influencing factors for migraine patients should be emphasized.