title: The number of microbleeds on gradient T2*-weighted magnetic resonance image at the onset of intracerebral hemorrhage.
abstract: OBJECTIVE
  Deep intracerebral hematoma (ICH) is frequently associated with microbleed (MB) arising from degenerated MB. Increased numbers of MB are correlated with increased age, and we examined a possible relationship between MB number and ICH onset in younger patients.
  
  
  METHODS
  Excluding patients with ICH and a history of ICH, we examined the number of MB and other risk factors in 195 patients with deep ICH (97 male, 98 female) consecutively admitted to our hospital. The patients were equally divided into 3 subgroups according to age (groups A, B, and C). Odds ratios were estimated from logistic regression analyses.
  
  
  RESULTS
  The number (percentage) of MB in group A (< or =60 years old, n = 64) 5.0 +/- 9.6 (65.6%) was less than group B (61-69 years old, n = 63) 6.6 +/- 9.1 (79.4%) or group C (> or =70 years old, n = 68) 6.0 +/- 7.0 (86.8%). Multivariate analyses demonstrated that MB greater than or equal to 3 was significantly associated with higher age in group A versus B (odds ratio: 2.3; 95% confidence interval: 1.01-5.3; P = .046) and in group A versus C (odds ratio: 2.6; 95% confidence interval: 1.1-6.2; P =.030).
  
  
  CONCLUSIONS
  Our findings suggest that risk factors for the development of ICH may differ with age, and younger patients with deep ICH have fewer MB.
authors.affiliation: Department of Neurosurgery at Kushiro City General Hospital, Kushiro, Hokkaido, Japan. timaizum@d9.dion.ne.jp
authors.forename: Toshio
authors.initials: T
authors.lastname: Imaizumi
authors.forename: Toshimi
authors.initials: T
authors.lastname: Honma
authors.forename: Yoshifumi
authors.initials: Y
authors.lastname: Horita
authors.forename: Maiko
authors.initials: M
authors.lastname: Kawamura
authors.forename: Ikuhide
authors.initials: I
authors.lastname: Kohama
authors.forename: Kei
authors.initials: K
authors.lastname: Miyata
authors.forename: Kim Sang
authors.initials: KS
authors.lastname: Nyon
authors.forename: Jun
authors.initials: J
authors.lastname: Niwa
mesh_terms: D017677:Age Distribution; D000367:Age Factors; D017668:Age of Onset; D000368:Aged; D000375:Aging / Q000473:pathology*; D001921:Brain / Q000098:blood supply / Q000473:pathology / Q000503:physiopathology; D002536:Cerebral Arteries / Q000473:pathology* / Q000503:physiopathology*; D002543:Cerebral Hemorrhage / Q000175:diagnosis* / Q000453:epidemiology*; D005260:Female; D006485:Hemosiderin / Q000032:analysis; D006801:Humans; D015994:Incidence; D016015:Logistic Models; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D008875:Middle Aged; D012307:Risk Factors
chemical_list: D006485:Hemosiderin