BACKGROUND AND PURPOSE: In addition to advanced stenosis, earlier stages of carotid atherosclerosis are associated with the risk for stroke. However, the significance has not been established for specific stroke subtypes. This study examines the association of earlier carotid atherosclerosis with stroke subtypes. METHODS: The subjects comprised 1059 patients (mean+/-SD age, 62+/-11 years) with <60% carotid stenosis. With the use of ultrasound, carotid atherosclerosis was evaluated by the plaque score, as defined by the sum of all plaque heights in bilateral carotid arteries. On the basis of neurological signs and symptoms, medical history, and brain MRI, we diagnosed stroke and its subtypes as follows: no stroke (n=738), atherothrombotic infarction (AI) (n=56), lacunar infarction (LI) (n=117), cardioembolic infarction (n=65), cerebral hemorrhage (n=26), and other or unclassified stroke (n=57). RESULTS: The plaque score was higher in AI (10.5+/-5.9) and LI (6.0+/-5.1) groups than in the no-stroke group (4.3+/-4.9) (both P<0.05), although it was similar between other stroke groups and the no-stroke group. Each 1 SD greater plaque score was associated with 2.5-fold (95% CI, 2.0 to 3.2) higher risk for AI and 1.4-fold (95% CI, 1.2 to 1.7) higher risk for LI compared with the no-stroke group. When we adjusted for cardiovascular risk factors, plaque score remained significantly associated with AI but not with LI. By receiver operating characteristic curve analyses, the receiver operating characteristic area for AI (0.81 to 0.86) was greater than that for LI (0.62 to 0.67) when we used plaque score either alone or in combination with cardiovascular risk factors. CONCLUSIONS: Although evaluation of carotid atherosclerosis may aid in the risk assessment for AI and LI, the benefit appears to be greater for AI.
BACKGROUND AND PURPOSE: In addition to advanced stenosis, earlier stages of carotid atherosclerosis are associated with the risk for stroke. However, the significance has not been established for specific stroke subtypes. This study examines the association of earlier carotid atherosclerosis with stroke subtypes. METHODS: The subjects comprised 1059 patients (mean+/-SD age, 62+/-11 years) with <60% carotid stenosis. With the use of ultrasound, carotid atherosclerosis was evaluated by the plaque score, as defined by the sum of all plaque heights in bilateral carotid arteries. On the basis of neurological signs and symptoms, medical history, and brain MRI, we diagnosed stroke and its subtypes as follows: no stroke (n=738), atherothrombotic infarction (AI) (n=56), lacunar infarction (LI) (n=117), cardioembolic infarction (n=65), cerebral hemorrhage (n=26), and other or unclassified stroke (n=57). RESULTS: The plaque score was higher in AI (10.5+/-5.9) and LI (6.0+/-5.1) groups than in the no-stroke group (4.3+/-4.9) (both P<0.05), although it was similar between other stroke groups and the no-stroke group. Each 1 SD greater plaque score was associated with 2.5-fold (95% CI, 2.0 to 3.2) higher risk for AI and 1.4-fold (95% CI, 1.2 to 1.7) higher risk for LI compared with the no-stroke group. When we adjusted for cardiovascular risk factors, plaque score remained significantly associated with AI but not with LI. By receiver operating characteristic curve analyses, the receiver operating characteristic area for AI (0.81 to 0.86) was greater than that for LI (0.62 to 0.67) when we used plaque score either alone or in combination with cardiovascular risk factors. CONCLUSIONS: Although evaluation of carotid atherosclerosis may aid in the risk assessment for AI and LI, the benefit appears to be greater for AI.
Authors: Dongxiang Xu; Daniel S Hippe; Hunter R Underhill; Minako Oikawa-Wakayama; Li Dong; Kiyofumi Yamada; Chun Yuan; Thomas S Hatsukami Journal: JACC Cardiovasc Imaging Date: 2014-03-13
Authors: K Hayashi; H Seyama; N Yamada; K Murao; K Iihara; J C Takahashi; N Nakajima; T Sayama; M Morimoto; H Mori; M Yamamoto; T Hishikawa; Y Nonaka; J Ayabe; T Kikuchi; M Hyuga; M Ookawa; T Kudo; S Miyamoto Journal: Interv Neuroradiol Date: 2006-06-15 Impact factor: 1.610
Authors: Hyun Ju Yoon; Myung Ho Jeong; Kye Hun Kim; Younggeun Ahn; Jeong Gwan Cho; Jong Chun Park; Jung Chaee Kang; Jang Ho Bae Journal: Korean Circ J Date: 2010-06-29 Impact factor: 3.243
Authors: E J Lee; H J Kim; J M Bae; J C Kim; H J Han; C S Park; N H Park; M S Kim; J A Ryu Journal: AJNR Am J Neuroradiol Date: 2007-05 Impact factor: 3.825