Jason Mackey1, Jeffrey J Wing2, Gina Norato3, Ian Sobotka4, Ravi S Menon4,5, Richard E Burgess4,6, M Chris Gibbons7, Nawar M Shara8, Stephen Fernandez8, Annapurni Jayam-Trouth9, Laura Russell4, Dorothy F Edwards1,10, Chelsea S Kidwell1,3,11. 1. Department of Neurology, Indiana University, Indianapolis, IN, USA. 2. Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA. 3. Department of Neurology, University of Arizona, Tucson, AZ, USA. 4. Department of Neurology, Georgetown University, Washington, DC, USA. 5. Swedish Neuroscience Institute, Seattle, WA, USA. 6. Central DuPage Hospital, Chicago, IL, USA. 7. Johns Hopkins Medical Institutions, Baltimore, MD, USA. 8. Medstar Research Institute, Hyattsville, MD, USA. 9. Department of Neurology, Howard University, Washington, DC, USA. 10. Department of Kinesiology, University of Wisconsin, Madison, WI, USA. 11. Department of Medical Imaging, University of Arizona, Tucson, AZ, USA.
Abstract
BACKGROUND: We sought to investigate the frequency of microbleed development following intracerebral hemorrhage in a predominantly African-American population and to identify predictors of new microbleed formation. AIMS AND/OR HYPOTHESIS: To investigate the frequency and predictors of new microbleeds following intracerebral hemorrhage. METHODS: The DECIPHER study was a prospective, longitudinal, magnetic resonance-based cohort study designed to evaluate racial/ethnic differences in risk factors for microbleeds and to evaluate the prognostic impact of microbleeds in this intracerebral hemorrhage population. We evaluated new microbleed formation in two time periods: from baseline to 30 days and from 30 days to year 1. RESULTS: Of 200 subjects enrolled in DECIPHER, 84 had magnetic resonance imaging at all required time points to meet criteria for this analysis. In the baseline to day 30 analysis, 11 (13·1%) had new microbleeds, compared with 25 (29·8%) in the day 30 to year 1 analysis. Logistic regression analysis demonstrated that baseline number of microbleeds [odds ratio 1·05 (95% confidence interval 1·01, 1·08), P = 0·01] was associated with new microbleed formation at 30 days. A logistic regression model predicting new microbleed at one-year included baseline number of microbleeds [odds ratio 1·05 (1·00, 1·11), P = 0·046], baseline age [odds ratio 1·05 (1·00, 1·10), P = 0·04], and white matter disease score [odds ratio 1·18 (0·96, 1·45). P = 0·115]. Overall, 28 of 84 (33·3%) intracerebral hemorrhage subjects formed new microbleeds at some point in the first year post-intracerebral hemorrhage. CONCLUSIONS: We found that one-third of intracerebral hemorrhage subjects in this cohort surviving one-year developed new microbleeds, which suggests a dynamic and rapidly progressive vasculopathy. Future studies are needed to examine the impact of new microbleed formation on patient outcomes.
BACKGROUND: We sought to investigate the frequency of microbleed development following intracerebral hemorrhage in a predominantly African-American population and to identify predictors of new microbleed formation. AIMS AND/OR HYPOTHESIS: To investigate the frequency and predictors of new microbleeds following intracerebral hemorrhage. METHODS: The DECIPHER study was a prospective, longitudinal, magnetic resonance-based cohort study designed to evaluate racial/ethnic differences in risk factors for microbleeds and to evaluate the prognostic impact of microbleeds in this intracerebral hemorrhage population. We evaluated new microbleed formation in two time periods: from baseline to 30 days and from 30 days to year 1. RESULTS: Of 200 subjects enrolled in DECIPHER, 84 had magnetic resonance imaging at all required time points to meet criteria for this analysis. In the baseline to day 30 analysis, 11 (13·1%) had new microbleeds, compared with 25 (29·8%) in the day 30 to year 1 analysis. Logistic regression analysis demonstrated that baseline number of microbleeds [odds ratio 1·05 (95% confidence interval 1·01, 1·08), P = 0·01] was associated with new microbleed formation at 30 days. A logistic regression model predicting new microbleed at one-year included baseline number of microbleeds [odds ratio 1·05 (1·00, 1·11), P = 0·046], baseline age [odds ratio 1·05 (1·00, 1·10), P = 0·04], and white matter disease score [odds ratio 1·18 (0·96, 1·45). P = 0·115]. Overall, 28 of 84 (33·3%) intracerebral hemorrhage subjects formed new microbleeds at some point in the first year post-intracerebral hemorrhage. CONCLUSIONS: We found that one-third of intracerebral hemorrhage subjects in this cohort surviving one-year developed new microbleeds, which suggests a dynamic and rapidly progressive vasculopathy. Future studies are needed to examine the impact of new microbleed formation on patient outcomes.
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