[Prevalence and influential factors of stroke in Jiangxi Province in 2014]

Butylphthalide Combined With Conventional Treatment Attenuates MMP-9 Levels and Increases VEGF Levels in Patients With Stroke: A Prospective Cohort Study

Background and Purpose: Butylphtalide increases the vascular endothelial growth factor (VEGF) and decreases matrix metalloproteinase (MMP)-9 in animal models of stroke and might be of use in the management of stroke. To explore whether butylphthalide combined with conventional treatment can change the levels of MMP-9 and VEGF and the National Institutes of Health Stroke Scale (NIHSS) scores of patients with stroke.

Methods: This was a prospective cohort study involving inpatients admitted to the Jiangxi Provincial People's Hospital (January–June 2019) due to acute cerebral infarction. The patients received conventional treatments with or without butylphthalide. The changes in the NIHSS scores were compared between groups. Plasma MMP-9 and VEGF were measured by enzyme-linked immunosorbent assay.

Results: A total of 24 patients were included in the conventional treatment group and 46 in the butylphthalide group. The butylphthalide group showed lower MMP-9 (130 ± 59 vs. 188 ± 65, p = 0.001) and higher VEGF (441 ± 121 vs. 378 ± 70, p = 0.034) levels on day 6 compared with the conventional treatment group. The changes in MMP-9 and VEGF were significant, starting on day 3 in the butylphthalide group but on day 6 in the conventional treatment group. There were no differences between the two groups in the NIHSS scores at admission and at discharge (p > 0.05). The overall response rate was higher in the butylphthalide group compared with the conventional treatment group (63.0 vs. 37.5%, p = 0.042).

Conclusion: Butylphthalide combined with conventional treatment can decrease MMP-9 levels and increase VEGF levels. The patients showed the reduced NIHSS scores, possibly suggesting some improvement in prognosis after stroke. Still, the conclusions need to be confirmed in a larger sample and in different etiological subtypes of stroke.

Predictors of Stroke Subtype and Severity in Patients of a Tertiary Care Hospital, Dehradun

Context

Stroke caused 6.7 million deaths worldwide in 2013. In India, the cumulated incidence of stroke was 105-152/100,000 persons per year in last decade. Dearth of data on predictors of stroke subtype and severity in India lead to this study.

Aims

(1) To categorize presenting stroke patients by subtype and severity. (2) To establish association of risk factors with above. (3) To predict subtype and severity by risk factors.

Settings and Design

Hospital-based cross-sectional analytic, retrospective study.

Subjects and Methods

A predesigned, pretested, semi-structured questionnaire with standard tool (National Institute of Health Stroke Scale Score), informed consent after prior approval of institutional ethics and research committees.

Statistical Analysis Used

Percentages, proportions, Chi-square trends, linear regression, independent t-test, and analysis of variance (ANOVA).

Results

Mean age of 102 patients was 62.1 (±12.8 years). Stroke subtype associated with socioeconomic status (χ² = 6.38775, P = 0.0115) and stroke severity (χ² = 18.98, P = 0) and stroke severity associated with stroke subtype (χ² = 9.79366, P = 0.0018). Stroke subtype could be predicted by stroke severity and stroke severity by subtype, sex, and dyslipidemia (regression models). Independent t-test revealed excessive alcohol intake was a significant predictor and one-way ANOVA revealed education was a significant predictor of severe stroke.

Conclusions

Stroke subtype is significantly associated with higher socioeconomic status and severe stroke. Stroke severity is significantly associated with hemorrhagic stroke. Stroke subtype, sex, dyslipidemia, alcohol intake, and education may act as predictors of stroke severity.