Protection roles of serum vitamin D levels in the cardiovascular system.

Protection roles of serum vitamin D levels in the cardiovascular system. This observational study enrolled 286 young ACI patients with type 2 diabetes mellitus in our Hospital from October 2016 to April 2020 as the study group. 127 healthy individuals as the control group. Serum levels of vitamin D and blood pressure indexes of the two groups were measured and the correlation between vitamin D levels and the clinical phenotype of young cerebral infarction was explored. Significantly higher 25-hydroxyvitamin D was observed in the study group vs. control group. During the day, The values of systolic and diastolic blood pressure and mean blood pressure was well-balanced between the two groups. However, at night and within 24 hours, significant differences in systolic and diastolic blood pressure and mean value were observed between the two groups. The higher the vitamin D level, the greater the decrease in blood pressure at night. Serum 25-hydroxyvitamin D was positively correlated with the reduction of night systolic and diastolic blood pressure. Low levels of 25-hydroxyvitamin D led to a small decrease in blood pressure at night, resulting in a vulnerable cardiovascular system and an increased incidence of cerebral infarction in the young population.

Prediction Model between Serum Vitamin D and Neurological Deficit in Cerebral Infarction Patients Based on Machine Learning.

Objective: Vitamin D is associated with neurological deficits in patients with cerebral infarction. This study uses machine learning to evaluate the prediction model's efficacy of the correlation between vitamin D and neurological deficit in patients with cerebral infarction. Methods: A total of 200 patients with cerebral infarction admitted to the Department of Neurology of our hospital from July 2018 to June 2019 were selected. The patients were randomly divided into a training set (n = 140) and a test set (n = 60) in a 7 : 3 ratio. The prediction model is constructed from the training set's data, and the model's prediction effect was evaluated by test set data. The area under the receiver operator characteristic curve was used to assess the prediction efficiency of models. Results: In the training set, the area under the curve (AUC) of the logistic regression model and XGBoost algorithm model was 0.727 (95% CI: 0.601~0.854) and 0.818 (95% CI: 0.734~0.934), respectively. While in the test set, the AUC of the logistic regression model and XGBoost algorithm model was 0.761 (95% CI: 0.640~0.882) and 0.786 (95% CI: 0.670~0.902), respectively. Conclusion: The prediction model of the correlation between vitamin D and neurological deficit in patients with cerebral infarction based on machine learning has a good prediction efficiency.

Risk factors for cognitive impairment in patients with first-time ischemic stroke.

OBJECTIVE: To determine the risk factors for cognitive impairment (CI) in patients with first-time ischemic stroke. METHODS: The clinical data of 180 patients with ischemic stroke who were admitted to our hospital from January 2018 to December 2019 was retrospectively analyzed. Patients with MMSE score ≤24 were included into the CI group and the rest of the patients were placed into the normal group. Multivariate logistic regression was applied to describe risk factors for CI in patients with first-time ischemic stroke. RESULTS: Among the patients with first-time ischemic stroke, 96 cases (53%) developed CI, 84 cases (47%) were normal. In different subtypes of TOAST classifications, patients with large-artery atherosclerosis had the highest CI incidence (66.96%). For different infarction sites, the highest CI incidence occurred in the frontal lobe (82.35%), and the lowest was from cerebellar infarction (37.50%). The difference of CI incidences in the frontal lobe, parietal lobe, temporal lobe and occipital lobe was significant between the two groups (P<0.05). Logistic regression analysis indicated that independent risk factors for CI in patients with first ischemic stroke include age ≥60 years old, diabetes history, CRP >6.53 mg/L, Hcy >13.84 µmol/L, NIHSS score >4.37, VD <45.16 nmol/L, and the difference was statistically significant (P<0.05). CONCLUSION: The study showed a high CI incidence in patients with preexisting ischemic stroke. Age ≥60 years old, history of diabetes mellitus, CRP >6.53 mg/L, Hcy >13.84 µmol/L, NIHSS score >4.37 score, VD <45.16 nmol/L are independent risk factors for CI in patients with first-time ischemic stroke.