| Literature DB >> 29063241 |
Satoshi Suda1, Takashi Shimoyama2, Shizuka Suzuki2, Takahiro Ouchi2, Masafumi Arakawa2, Junya Aoki2, Kentaro Suzuki2, Yuki Sakamoto2, Seiji Okubo2, Yasuhiro Nishiyama2, Chikako Nito2, Masahiro Mishina2, Kazumi Kimura2.
Abstract
Cortical superficial siderosis (cSS) is a pathologic and radiologic diagnosis of hemosiderin deposition in subpial brain layers. However, cSS has not been fully studied in patients with acute stroke. Here, we investigated the prevalence of cSS in patients with acute stroke and analyzed the relationship between cSS and different clinical and neuroimaging characteristics. From September 2014 through June 2016, consecutive patients with acute stroke who were admitted to our department were retrospectively investigated. We analyzed the prevalence of cSS and the associations between cSS and risk factors, the topographic distribution of cerebral microbleeds (CMBs), and the severity of white matter lesions (WMLs). In total, 739 patients (589 patients with ischemic stroke/transient ischemic stroke [IS/TIA] and 150 with intracerebral hemorrhage [ICH]; mean age, 71.4 years) were enrolled. We identified cSS in six (1.0%) patients with IS/TIA and seven (4.7%) patients with ICH. The presence of cSS was associated with ICH (P < 0.0001), WMLs (P = 0.0105), and lobar and non-lobar CMBs (both P < 0.0001); no associations between cSS and age, sex, cardiovascular risk factors, IS subtype classification, or antiplatelet and anticoagulant therapy were found. In a multivariable logistic regression analysis, high numbers of lobar CMBs (≥ 2; odds ratio, 11.03; 95% confidence interval, 2.03-205.40; P = 0.0029) were independently associated with cSS. Furthermore, cSS was often located near lobar CMBs. Our results suggest that cSS is prevalent in ICH and is independently associated with lobar CMBs; however, no associations between cSS and other risk factors or comorbidities were observed.Entities:
Keywords: Cerebral microbleeds; Cortical superficial siderosis; Small vessel disease; Stroke
Mesh:
Year: 2017 PMID: 29063241 DOI: 10.1007/s00415-017-8646-1
Source DB: PubMed Journal: J Neurol ISSN: 0340-5354 Impact factor: 4.849