Abstract
Background and Purpose Previous studies in cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy showed that accumulation of lacunes strongly relate to clinical severity. However, the potential predictors of incident lacunes and their clinical consequences over a short time frame have not been investigated. This study aimed to determine the predictors and clinical impact of such lesions in a large cohort of patients. Methods Two hundred and six NOTCH3 mutation carriers (mean age, 49.510.6 years) were followed up over 3 years. Incident lacunes were identified using difference imaging from 3-dimensional T1 images. Clinical events and change in different clinical scores such as the Mattis Dementia Rating Scale, Modified Rankin Scale, Barthel index, and time to complete part A and part B of Trail Making Test were recorded. Associations were analyzed with multivariable logistic regression analysis and ANCOVA. Results Over a mean period of 3.4 +/- 0.7 years, incident lacunes occurred in 51 of 206 patients. Both the number of lacunes (P<0.0001) and systolic blood pressure at baseline (P<0.01) were independent predictors of incident lacunes during follow-up. The results were still significant after excluding patients with systolic blood pressure >140 mmHg. Incident lacunes were also associated with incident stroke and with change in time to complete Trail Making Test part B, initiation/perseveration subscale of the Mattis Dementia Rating Scale and Barthel Index over the study period. Conclusions Systolic blood pressure and the number of prevalent lacunes are independent predictors of incident lacunes in cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy. These lesions mainly impact executive performances and functional independence over 3 years.
Dokumententyp: | Zeitschriftenartikel |
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Fakultät: | Medizin |
Themengebiete: | 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit |
ISSN: | 0039-2499 |
Sprache: | Englisch |
Dokumenten ID: | 55187 |
Datum der Veröffentlichung auf Open Access LMU: | 14. Jun. 2018, 09:58 |
Letzte Änderungen: | 04. Nov. 2020, 13:35 |