Binary logistic regression analysis of factors associated with abnormal CIMT status (subclinical atherosclerosis).

<p>Binary logistic regression analysis of factors associated with abnormal CIMT status (subclinical atherosclerosis).</p>

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Bibliographic Details
Main Author:	Elyar Alizadeh Najmi (20291071) (author)
Other Authors:	Zahra Mirzaasgari (12206067) (author), Mohammad Reza Motamed (3756565) (author), Armin Aslani (13009188) (author)
Published:	2024
Subjects:	Biochemistry Medicine Cell Biology Biotechnology Immunology Developmental Biology Science Policy Infectious Diseases Biological Sciences not elsewhere classified term cardiovascular outcomes central nervous system annual relapse rate 127 control subjects pwms ), focusing investigate factors influencing pwms group (< 001 ), followed increased cardiovascular risk higher cimt (< pwms (< significantly higher 001 ). controls (< increased risk increased cimt xlink "> underlying mechanisms two groups treatment duration study demonstrates spearman ’ significantly associated significant predictor significant association recent studies prominent predictor potential link potential association multiple sclerosis modifying treatment media thickness high cimt findings suggest carotid intima 93 ). 82 females 70 males 57 females 32 males 13 years 05 ).
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