Why the study?
Does folate intake correlate with changes in internal carotid artery IMT in post-ischemic stroke patients?
Does folate intake correlate with changes in internal carotid artery IMT in post-ischemic stroke patients?
In post-ischemic stroke patients, neither folate intake nor serum folic acid levels correlated with changes in internal carotid artery intima-media thickness over a 6-month period.
Null findings do not support folate for slowing IMT progression post-stroke; leaves open need for RCTs with clinical endpoints.
The thickness of the carotid artery intima media / intima-media thickness (IMT) is one of atherosclerosis markers. Atherosclerosis is one of the causes of ischemic stroke. Some studies suggest that low folate intake is predicted to affect the atherosclerotic process, but this remains controversial. Our objective is to analyze the relationship between folate intake with changes in the internal carotid artery IMT after ischemic stroke patients.The study is one group pretest posttest design with 72 post ischemic stroke subjects from neurology polyclinic of Kariadi Hospital, from June to December 2013. Folate intake was measured by Food Frequency Questionnaire and the internal carotid artery IMT by duplex ultrasonography. Measurements were taken at two periods with 6 months interval. Other factors that affect atherosclerosis consisting of age, obesity, hypertension, dyslipidemia, diabetes mellitus. The analysis in this study using Spearman correlation, chi-square and logistic regression. Resultwas significant if the p value were <0.05. There were 44 male subjects (61.1%) and 28 female subjects (38.9%). The mean age was 61.6 (SD = 7.99) years. The mean intake of folate was 178.10 (SD = 38.875) mg / day. Median serum folic acid level 8.43 (4.96 to 55.01) NML / L. The mean change in ICA IMT was 0.10 (SD = 0.156) mm. Folate intake was not correlated with serum levels of folic acid. Serum folic acid levels are not correlated with changes in the internal carotid artery IMT. There was correlation between the risk factors of age, BMI, hypertension, diabetes and
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Tugasworo et al. (2015) studied this question.
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