BACKGROUND AND PURPOSE: Cerebral microbleeds are frequently seen in the general elderly population, but it is unknown at what rate they occur with aging and whether once present can disappear over time. METHODS: As part of the Rotterdam Scan Study, 831 persons (mean age, 68.5 years) underwent repeated brain MRI with a mean interval of 3.4 years. We assessed determinants of incident microbleeds in relation to their location with multiple logistic regressions. RESULTS: Overall prevalence of microbleeds increased from 24.4% at baseline to 28.0% at follow-up. Eighty-five persons (10.2%) developed new microbleeds. Microbleeds at baseline predicted development of new microbleeds (OR, 5.38; 95% CI, 3.34 to 8.67). In only 6 persons with microbleeds at baseline, fewer microbleeds were present at the follow-up examination. Cardiovascular risk factors, presence of lacunar infarcts, and larger white matter lesion volume at baseline were all associated with incident deep or infratentorial microbleeds, whereas people with the apolipoprotein E ε4/ε4 genotype or larger white matter lesion volume had a higher risk of incident strictly lobar microbleeds. CONCLUSIONS: Incidence of microbleeds in the general population over a 3-year interval was substantial and microbleeds rarely disappeared. Risk factors for incident microbleeds were similar to those for prevalent microbleeds and differed according to microbleed location. These results support the assessment of microbleeds on T2-weighted MRI as a possible marker of both cerebral amyloid angiopathy and hypertensive vasculopathy progression.
BACKGROUND AND PURPOSE: Cerebral microbleeds are frequently seen in the general elderly population, but it is unknown at what rate they occur with aging and whether once present can disappear over time. METHODS: As part of the Rotterdam Scan Study, 831 persons (mean age, 68.5 years) underwent repeated brain MRI with a mean interval of 3.4 years. We assessed determinants of incident microbleeds in relation to their location with multiple logistic regressions. RESULTS: Overall prevalence of microbleeds increased from 24.4% at baseline to 28.0% at follow-up. Eighty-five persons (10.2%) developed new microbleeds. Microbleeds at baseline predicted development of new microbleeds (OR, 5.38; 95% CI, 3.34 to 8.67). In only 6 persons with microbleeds at baseline, fewer microbleeds were present at the follow-up examination. Cardiovascular risk factors, presence of lacunar infarcts, and larger white matter lesion volume at baseline were all associated with incident deep or infratentorial microbleeds, whereas people with the apolipoprotein E ε4/ε4 genotype or larger white matter lesion volume had a higher risk of incident strictly lobar microbleeds. CONCLUSIONS: Incidence of microbleeds in the general population over a 3-year interval was substantial and microbleeds rarely disappeared. Risk factors for incident microbleeds were similar to those for prevalent microbleeds and differed according to microbleed location. These results support the assessment of microbleeds on T2-weighted MRI as a possible marker of both cerebral amyloid angiopathy and hypertensive vasculopathy progression.
Authors: Yi Guo; Tara Saunders; Hua Su; Helen Kim; Deniz Akkoc; David A Saloner; Steven W Hetts; Christopher Hess; Michael T Lawton; Andrew W Bollen; Tony Pourmohamad; Charles E McCulloch; Tarik Tihan; William L Young Journal: Stroke Date: 2012-02-02 Impact factor: 7.914
Authors: Albert Hofman; Guy G O Brusselle; Sarwa Darwish Murad; Cornelia M van Duijn; Oscar H Franco; André Goedegebure; M Arfan Ikram; Caroline C W Klaver; Tamar E C Nijsten; Robin P Peeters; Bruno H Ch Stricker; Henning W Tiemeier; André G Uitterlinden; Meike W Vernooij Journal: Eur J Epidemiol Date: 2015-09-19 Impact factor: 8.082
Authors: Albert Hofman; Sarwa Darwish Murad; Cornelia M van Duijn; Oscar H Franco; André Goedegebure; M Arfan Ikram; Caroline C W Klaver; Tamar E C Nijsten; Robin P Peeters; Bruno H Ch Stricker; Henning W Tiemeier; André G Uitterlinden; Meike W Vernooij Journal: Eur J Epidemiol Date: 2013-11-21 Impact factor: 8.082
Authors: Zhihao Zha; Seok Rye Choi; Karl Ploessl; Brian P Lieberman; Wenchao Qu; Franz Hefti; Mark Mintun; Daniel Skovronsky; Hank F Kung Journal: J Med Chem Date: 2011-11-09 Impact factor: 7.446
Authors: Adam de Havenon; Chelsea Meyer; J Scott McNally; Matthew Alexander; Lee Chung Journal: Curr Atheroscler Rep Date: 2019-07-27 Impact factor: 5.113