Why the study?
Does a regression model based on apolipoprotein AI, lipoprotein (a), and RBC IR predict the occurrence of cerebral infarction in patients with carotid artery stenosis?
Does a regression model based on apolipoprotein AI, lipoprotein (a), and RBC IR predict the occurrence of cerebral infarction in patients with carotid artery stenosis?
A predictive model using apolipoprotein AI, lipoprotein (a), and RBC rigidity index shows promise for predicting cerebral infarction in patients with carotid artery stenosis.
May aid risk stratification in carotid stenosis; leaves open prospective validation before clinical adoption.
We show herein that the regression model based on apolipoprotein AI, lipoprotein (a), and RBC IR is a promising tool to predict the occurrence of cerebral infarction in patients with carotid artery stenosis. However, identification of novel diagnostic markers for progressive cerebral infarction is still necessary.
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Dong et al. (2017) studied this question.
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