Impact of White Matter Lesions on Cognition in Stroke Patients Free from Pre-Stroke Cognitive Impairment: A One-Year Follow-Up Study

Aims: To describe the contribution of white matter lesions to the long-term neuropsychological profiles of different groups of clinical diagnoses, and to identify neuropsychological predictors of cognitive impairment in a 10-year follow-up. Methods: The Lisbon subcohort of the Leukoaraiosis and Disability (LADIS) study was re-evaluated performing a clinical, functional and cognitive evaluation [including Mini-Mental State Examination (MMSE), Alzheimer's Disease Assessment Scale - Cognition (ADAS-Cog) and ADAS-Cog with the extension for vascular impairment (VADAS-Cog), the 9-word version of the California Verbal Learning Test (CVLT-9), the Trail-Making test and the Stroop test] as well as an MRI scan. Using clinical diagnostic criteria, participants were identified as having no cognitive impairment (NI), cognitive impairment but no dementia (CIND) or dementia (DEM), and the effect of time on clinical diagnosis and neuropsychological profiles was analyzed. Results: From the initial group of 66 participants, 37 out of 41 survivors (90%) were re-evaluated (mean age 81.40 years, 57% women). Fifteen patients (41%) had DEM, 12 (32%) CIND and 10 (27%) NI. Over time, the three groups presented distinct profiles in the MMSE [F2, 62 = 15.85, p = 0.000], ADAS [F2, 62 = 15.85, p = 0.000] and VADAS [F2, 48 = 5.87, p = 0.008]. Logistic regression analysis identified higher scores on MMSE (β = 1.14, p = 0.03, OR = 3.13, 95% CI 1.09-8.97) as predictors of NI after 10 years of follow-up. Conclusion: Higher scores on baseline MMSE were the only neuropsychological predictors of NI after 10 years.

Download Full-text

White matter hyperintensities predict dementia in poststroke patients with cognitive impairment no dementia (CIND)

European Psychiatry ◽

10.1016/s0924-9338(11)72197-6 ◽

2011 ◽

Vol 26 (S2) ◽

pp. 490-490

Author(s):

Y.K. Chen ◽

E. Lee ◽

J.Y. Lu ◽

W.C.W. Chu ◽

V.C.T. Mok ◽

...

Keyword(s):

Logistic Regression ◽

Cognitive Impairment ◽

White Matter ◽

White Matter Hyperintensities ◽

Hippocampal Volume ◽

Cognitive Domain ◽

Nihss Score ◽

One Year ◽

Cognitive Impairment No Dementia

IntroductionLongitudinal studies of predicting dementia conversion of poststroke cognitive impairment no dementia (CIND) are limited.ObjectiveTo investigate the clinical and imaging predictors of dementia conversion in poststroke patients with CIND.AimTo understand dementia conversion of CIND.Methods143 patients with CIND (defined as impairment in at least one cognitive domain without meeting the criteria of dementia) at three months after stroke were recruited and followed up for one year. Dementia was diagnosed using the criteria of Diagnostic and Statistical Manual of Mental Disorders (4th edition, DSM-IV). MRI measurements including infarction, microbleeds, white matter hyperintensities (WMHs) and hippocampal volume were conducted. Logistic regression was performed to find the predictors of dementia at follow-up.Results16 (11.2%) out of the 143 patients developed dementia 15 months after stroke. In univariate comparisons, subjects with dementia at follow-up had older age (78.0 ± 5.3 vs.71.5 ± 8.5 years, p = 0.003) and higher NIHSS score (7.1 ± 3.5 vs.4.7 ± 3.3, p = 0.005) on admission. They also had higher frequency of old infarcts in the thalamus (31.3% vs. 11.0%, p = 0.025), larger volume of old infarcts (4.2 ± 11.2 vs. 0.7 ± 2.6 cm3, p < 0.001) and WMHs volume (33.2 ± 34.0 vs. 14.2 ± 14.1 cm3, p = 0.016). In logistic regression, age (odds ratio [OR] =1.203, 95%C.I.=1.054-1.373, p = 0.006), NIHSS score on admission (OR = 1.324, 95%C.I.=1.082-1.619, p = 0.006) and WMHs volume (OR = 1.045, 95%C.I.=1.007-1.084, p = 0.019) were significant predictors of dementia at follow-up.ConclusionsWMHs volume predicts dementia in poststroke patients with CIND, suggesting subcortical ischemic vascular disease was an important origin of poststroke delayed dementia.

Download Full-text

Do cerebral white matter lesions influence the rate of progression from mild cognitive impairment to dementia?

International Psychogeriatrics ◽

10.1017/s1041610212000932 ◽

2012 ◽

Vol 25 (1) ◽

pp. 120-127 ◽

Cited By ~ 12

Author(s):

Michael E. Devine ◽

J. Andres Saez Fonseca ◽

Zuzana Walker

Keyword(s):

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

White Matter ◽

White Matter Lesions ◽

Cerebral White Matter ◽

Brain Scans ◽

Mri Brain ◽

Cerebral White Matter Lesions ◽

Ct And Mri

ABSTRACTBackground: Cerebral white matter lesions (WML), evident on CT and MRI brain scans, are histopathologically heterogeneous but associated with vascular risk factors and thought mainly to indicate ischemic damage. There has been disagreement over their clinical prognostic value in predicting conversion from mild cognitive impairment (MCI) to dementia.Methods: We scrutinised and rated CT and MRI brain scans for degree of WML in a memory clinic cohort of 129 patients with at least 1 year of follow-up. We examined the relationship between WML severity and time until conversion to dementia for all MCI patients and for amnestic (aMCI) and non-amnestic (naMCI) subgroups separately.Results: Five-year outcome data were available for 87 (67%) of the 129 patients. The proportion of patients converting to dementia was 25% at 1 year and 76% at 5 years. Patients with aMCI converted to dementia significantly earlier than those with naMCI. WML severity was not associated with time to conversion to dementia for either MCI patients in general or aMCI patients in particular. Among naMCI patients, there was a tendency for those with a low degree of WML to survive without dementia for longer than those with a high degree of WML. However, this was not statistically significant.Conclusions: MCI subtype is a significant independent predictor of conversion to dementia, with aMCI patients having higher risk than naMCI for conversion throughout the 5-year follow-up period. WML severity does not influence conversion to dementia for aMCI but might accelerate progression in naMCI.

Download Full-text