Stroke Location Is an Independent Predictor of Cognitive Outcome

被引:101
作者
Munsch, Fanny [1 ,2 ,5 ]
Sagnier, Sharmila [3 ]
Asselineau, Julien [4 ]
Bigourdan, Antoine [2 ]
Guttmann, Charles. R. [1 ,6 ]
Debruxelles, Sabrina [3 ]
Poli, Mathilde [3 ]
Renou, Pauline [3 ]
Perez, Paul [4 ]
Dousset, Vincent [1 ,2 ,5 ]
Sibon, Igor [1 ,3 ,7 ]
Tourdias, Thomas [1 ,2 ,5 ]
机构
[1] Univ Bordeaux, Bordeaux, France
[2] CHU Bordeaux, Neuroimagerie Diagnost & Therapeut, Bordeaux, France
[3] CHU Bordeaux, Unite Neurovasc, Bordeaux, France
[4] CHU Bordeaux, Unite Soutien Methodol Rech Clin & Epidemiol, Pole Sante Publ, Bordeaux, France
[5] INSERM, U862, Neuroctr Magendie, Bordeaux, France
[6] Harvard Univ, Brigham & Womens Hosp, Sch Med, Ctr Neurol Imaging, Boston, MA 02115 USA
[7] INCIA, Bordeaux, France
关键词
area under curve; cognition; prognosis; stroke; stroke location; stroke volume; MODIFIED RANKIN SCALE; ISCHEMIC-STROKE; CLINICAL DETERMINANTS; NONDEMENTED PATIENTS; TEST ACCURACY; NIH STROKE; IMPAIRMENT; RECOVERY; TRIALS;
D O I
10.1161/STROKEAHA.115.011242
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background and Purpose On top of functional outcome, accurate prediction of cognitive outcome for stroke patients is an unmet need with major implications for clinical management. We investigated whether stroke location may contribute independent prognostic value to multifactorial predictive models of functional and cognitive outcomes. Methods Four hundred twenty-eight consecutive patients with ischemic stroke were prospectively assessed with magnetic resonance imaging at 24 to 72 hours and at 3 months for functional outcome using the modified Rankin Scale and cognitive outcome using the Montreal Cognitive Assessment (MoCA). Statistical maps of functional and cognitive eloquent regions were derived from the first 215 patients (development sample) using voxel-based lesion-symptom mapping. We used multivariate logistic regression models to study the influence of stroke location (number of eloquent voxels from voxel-based lesion-symptom mapping maps), age, initial National Institutes of Health Stroke Scale and stroke volume on modified Rankin Scale and MoCA. The second part of our cohort was used as an independent replication sample. Results In univariate analyses, stroke location, age, initial National Institutes of Health Stroke Scale, and stroke volume were all predictive of poor modified Rankin Scale and MoCA. In multivariable analyses, stroke location remained the strongest independent predictor of MoCA and significantly improved the prediction compared with using only age, initial National Institutes of Health Stroke Scale, and stroke volume (area under the curve increased from 0.697-0.771; difference=0.073; 95% confidence interval, 0.008-0.155). In contrast, stroke location did not persist as independent predictor of modified Rankin Scale that was mainly driven by initial National Institutes of Health Stroke Scale (area under the curve going from 0.840 to 0.835). Similar results were obtained in the replication sample. Conclusions Stroke location is an independent predictor of cognitive outcome (MoCA) at 3 months post stroke.
引用
收藏
页码:66 / 73
页数:8
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