BACKGROUND: Although stroke from large vessel atherothromboembolism has a common pathogenesis, its topographic presentation is variable. Given the impact of cerebral infarct size and location on incident stroke magnitude and subsequent prognosis, we evaluated the determinants of cerebral infarct topography among patients with atherosclerotic stroke. METHODS: We analyzed data on 148 consecutive patients admitted over a 4-year period to a university medical center with acute ischemic stroke within the MCA distribution on DWI, presumed due to atherosclerosis. Based on the DWI data, we divided the patients into three stroke phenotypes: large cortical, small (< 1 cm in diameter) cortical, and deep pattern. Independent factors for each stroke phenotype were evaluated using logistic regression. RESULTS: After adjusting for covariates, premorbid statin use (OR, 3.05; 95% CI, 1.40-6.65) and older age (OR, 1.05 per 1 year increase; 95% CI, 1.02-1.08) were independently associated with the small cortical phenotypic pattern. In contrast, younger age (OR, 0.95 per 1 year increase; 95% CI, 0.92-0.98), premorbid statin non-use (OR, 0.40; 95% CI, 0.17-0.99), and higher levels of fasting s-glucose (OR, 1.01 per 1 mg/dl increase; 95% CI, 1.00-1.02) and admission peripheral WBC counts (OR, 1.13 per 1 x 10(9) cells/L; 95% CI, 1.00-1.27) were independently associated with the large cortical pattern. There was no relation between DWI patterns and LDL-cholesterol levels. CONCLUSIONS: Age, premorbid statin use, s-glucose and WBC count predict atherosclerotic stroke phenotype. Further studies should examine whether modifying some of these factors may result in more favorable phenotypic patterns.
BACKGROUND: Although stroke from large vessel atherothromboembolism has a common pathogenesis, its topographic presentation is variable. Given the impact of cerebral infarct size and location on incident stroke magnitude and subsequent prognosis, we evaluated the determinants of cerebral infarct topography among patients with atherosclerotic stroke. METHODS: We analyzed data on 148 consecutive patients admitted over a 4-year period to a university medical center with acute ischemic stroke within the MCA distribution on DWI, presumed due to atherosclerosis. Based on the DWI data, we divided the patients into three stroke phenotypes: large cortical, small (< 1 cm in diameter) cortical, and deep pattern. Independent factors for each stroke phenotype were evaluated using logistic regression. RESULTS: After adjusting for covariates, premorbid statin use (OR, 3.05; 95% CI, 1.40-6.65) and older age (OR, 1.05 per 1 year increase; 95% CI, 1.02-1.08) were independently associated with the small cortical phenotypic pattern. In contrast, younger age (OR, 0.95 per 1 year increase; 95% CI, 0.92-0.98), premorbid statin non-use (OR, 0.40; 95% CI, 0.17-0.99), and higher levels of fasting s-glucose (OR, 1.01 per 1 mg/dl increase; 95% CI, 1.00-1.02) and admission peripheral WBC counts (OR, 1.13 per 1 x 10(9) cells/L; 95% CI, 1.00-1.27) were independently associated with the large cortical pattern. There was no relation between DWI patterns and LDL-cholesterol levels. CONCLUSIONS: Age, premorbid statin use, s-glucose and WBC count predict atherosclerotic stroke phenotype. Further studies should examine whether modifying some of these factors may result in more favorable phenotypic patterns.
Authors: F M Sacks; M A Pfeffer; L A Moye; J L Rouleau; J D Rutherford; T G Cole; L Brown; J W Warnica; J M Arnold; C C Wun; B R Davis; E Braunwald Journal: N Engl J Med Date: 1996-10-03 Impact factor: 91.245
Authors: H J M Barnett; D W Taylor; R B Haynes; D L Sackett; S J Peerless; G G Ferguson; A J Fox; R N Rankin; V C Hachinski; D O Wiebers; M Eliasziw Journal: N Engl J Med Date: 1991-08-15 Impact factor: 91.245
Authors: Mi Ji Lee; Oh Young Bang; Suk Jae Kim; Gyeong Moon Kim; Chin Sang Chung; Kwang Ho Lee; Bruce Ovbiagele; David S Liebeskind; Jeffrey L Saver Journal: Cerebrovasc Dis Date: 2014-01-16 Impact factor: 2.762
Authors: Y Kaichi; S Kakeda; J Moriya; N Ohnari; K Saito; Y Tanaka; F Tatsugami; S Date; K Awai; Y Korogi Journal: AJNR Am J Neuroradiol Date: 2013-07-25 Impact factor: 3.825