Knopman DS, Roberts RO, Geda YE, Boeve BF, Pankratz VS, Cha RH, Tangalos EG, Ivnik RJ, Petersen RC. Association of Prior Stroke With Cognitive Function and Cognitive ImpairmentA Population-Based Study. Arch Neurol. 2009;66(5):614-619. doi:10.1001/archneurol.2009.30
Copyright 2009 American Medical Association. All Rights Reserved. Applicable FARS/DFARS Restrictions Apply to Government Use.2009
Defining the nature of the contribution of stroke to cognitive impairment remains challenging.
To describe associations between stroke history, APOE genotype, and subtypes of mild cognitive impairment (MCI).
We randomly selected residents from Olmsted County, Minnesota, aged 70 to 89 years on October 1, 2004, and invited eligible subjects without documented dementia to participate. Participants (n = 2050) were evaluated through an informant interview, a neurological evaluation, and neuropsychological testing. Neuropsychological testing included 9 tests to assess memory, attention, executive function, visuospatial cognition, and language. Subjects were diagnosed by consensus as cognitively normal or as having MCI (either amnestic or nonamnestic) or dementia. A history of stroke was obtained from the subjects and confirmed in their medical records. We computed the odds ratios (ORs) for a clinical diagnosis of MCI or for scoring in the lowest quartile on each cognitive domain.
There were 1640 cognitively normal subjects and 329 subjects with MCI: 241 with amnestic MCI and 88 with nonamnestic MCI. In fully adjusted models with only subjects without dementia, a history of stroke was associated with a higher OR of nonamnestic MCI (OR, 2.85; 95% confidence interval [CI], 1.61-5.04) than amnestic MCI (OR, 1.77; 95% CI, 1.14-2.74). A history of stroke was also associated with impaired function in each cognitive domain except memory. The association was strongest for attention and executive function (OR, 2.48; 95% CI, 1.73-3.53). APOE ε4 genotype was associated only with amnestic MCI and with impaired memory function.
In this population-based sample of persons without dementia, a history of stroke was particularly associated with nonamnestic MCI and impairment in nonmemory cognition. The APOE ε4 genotype was associated with memory impairment and amnestic MCI.
The relationship between stroke and cognitive impairment has been enigmatic. The link between large strokes that lead to immediate and persistent neurological impairment has never been questioned. However, the role of single strokes that may not produce immediate cognitive impairment is less well understood. Several studies have noted that subjects with a history of stroke had a higher risk of cognitive impairment or decline1- 5 or dementia6,7 than did persons without such a history.
While the pattern of cognitive impairment associated with cerebrovascular disease in dementia is not helpful diagnostically,8 the profile of strengths and weaknesses of different cognitive domains in persons who are cognitively normal or who have mild cognitive impairment (MCI) might shed some light on what brain regions are affected by cerebrovascular pathology. It may be easier to recognize the unique contribution of cerebrovascular disease in persons with the least amount of cognitive impairment than in patients with established dementia, because the effect of Alzheimer disease may overwhelm the vascular element.9
We had the opportunity to study the associations of prior stroke and cognition in a large, population-based sample of elderly persons without dementia in Olmsted County, Minnesota. In addition to collecting detailed information about stroke histories, we also collected extensive information on other vascular diseases and risk factors. Our objective for the present study was to examine whether a history of stroke was associated with the diagnosis of MCI or cognitive impairment determined by a battery of neuropsychological tests, independent of categorical clinical diagnoses. We compared associations of MCI and cognitive function domains with stroke history with associations with APOE (OMIM 107741) genotype as a proxy, albeit an imperfect one, for Alzheimer disease–linked pathogenic mechanisms
Study subjects were participants in a longitudinal study designed to estimate the prevalence and incidence of MCI in Olmsted County. Many of the details of the study design and methodology have been previously published.10 The study protocol was approved by the institutional review boards of the Mayo Clinic and the Olmsted Medical Center. From an enumeration of Olmsted County residents aged 70 to 89 years on October 1, 2004 (N = 9953), we randomly selected 5227 subjects and invited them to participate in the study. We offered home visits for subjects with mobility problems. We excluded subjects who died before they could be contacted (n = 263), who were terminally ill and in hospice care (n = 56), who could not be contacted (n = 114), and who had previously been diagnosed with dementia (n = 402; confirmed by D.S.K.). From an eligible cohort of 4392 subjects invited to participate, 2719 were enrolled in the study (61.8%); 2050 participated in a face-to-face evaluation and 667 participated in a telephone interview. Dementia was diagnosed in 67 of the 2050 persons evaluated face-to-face. This study concerns the 1983 subjects without dementia who completed the face-to-face evaluation.
Participants underwent a nurse evaluation and risk factor assessment that included the Clinical Dementia Rating scale,11 a neurological evaluation performed by a study physician, including a mental status examination and a structured neurological examination; and neuropsychological testing, including 9 cognitive tests to assess cognitive function in memory, executive function, language, and visuospatial skills, as previously described.10 The data for each participant were reviewed by an expert panel of physicians, neuropsychologists, and the nurse who evaluated the participant, and a diagnosis of normal cognition, MCI, or dementia was reached by consensus.
The neuropsychological test battery consisted of subtests from the Wechsler Adult Intelligence Scale–Revised12 and the Wechsler Memory Scale–Revised.13 Four domains of cognitive function were evaluated: (1) executive function (Trail-Making Test B14 and the Digit Symbol Substitution test from the Wechsler Adult Intelligence Scale–Revised); (2) language (Boston Naming Test15 and Category Fluency16); (3) memory (Logical Memory–II [delayed recall] and Visual Reproduction–II [delayed recall] from the Wechsler Memory Scale–Revised and the Auditory Verbal Learning Test17- 20); and (4) visuospatial ability (Picture Completion and Block Design from the Wechsler Adult Intelligence Scale–Revised).
For the purposes of the consensus clinical diagnoses, the raw scores from the neuropsychological test battery were converted to Mayo's Older American Normative Studies values that were age-adjusted to norms derived from the same population and transformed to a standardized score with a mean of 10 and a standard deviation (SD) of 3.17- 20 Domain scores were calculated for the 4 cognitive domains, as previously described.10 A z score was generated for each domain and subject. The average of the Mayo's Older American Normative Studies scaled scores in each domain represented the domain score. The values for impairment were determined by inspecting the frequency distributions of the summed scaled scores in each domain. This approach relied on previous normative work and extensive knowledge of the cognitive abilities of the population from which the current participants have been drawn.17- 22 Patients with MCI typically score between 1.0 and 1.5 SDs below the mean.17- 20 Although the psychometric scores were important in the diagnostic process, the final decision about impairment was based on the clinical interpretation and judgment of the neuropsychologist, in the context of the entire set of data for an individual, taking into account age, level of education, and occupation.
For the purpose of evaluating the individual cognitive domains, the raw scores from the neuropsychological battery were normed to the entire group of subjects who underwent the battery. A z score was generated for each domain.
Based on the face-to-face evaluation, we categorized participants as cognitively normal (controls), as having MCI (cases), or as having dementia.10 A diagnosis of normal cognition was assigned according to published criteria.17- 20,23 A diagnosis of MCI was made according to the following published criteria: cognitive concern by a physician, patient, or nurse; impairment in 1 or more of the 4 cognitive domains; essentially normal functional activities; and not having dementia.23 Participants with MCI were classified as having amnestic MCI (aMCI) if their memory domain was impaired or nonamnestic MCI (naMCI) if there was no memory impairment. A diagnosis of dementia was made according to Diagnostic and Statistical Manual of Mental Disorders (Fourth Edition) criteria.24 Diagnoses of MCI or dementia, as well as diagnoses of MCI subtypes, were entirely based on the above information and not on the presence of stroke or any other vascular risk factor. It was only in a second phase of diagnostic determinations that etiology of the MCI or dementia was considered. Etiological diagnoses is not the subject of this article.
A history of stroke was obtained from the subject through a physician interview. Stroke was defined by standard criteria, namely that the person had had a focal neurological deficit consistent with ischemia in a cerebral vascular territory, the symptoms of which lasted longer than 24 hours. Subjects who gave a history of stroke were also asked whether there were any changes in their thinking that had accompanied it. All strokes were verified in the medical history using the medical records linkage system.25 The medical records of nonparticipants were also screened for a history of stroke to examine nonparticipation bias.
As part of the neurological examination performed by the study physician, examination findings relevant to cerebrovascular disease were assessed, including reflex asymmetries, unilateral weakness, hemiparesis, hemianopia, and unilateral Babinski signs. The clinician rated these findings as to whether or not they were indicative of focal neurological signs consistent with cerebrovascular disease.
The characteristics of study subjects are presented using descriptive statistics. Comparisons between MCI cases and controls were made using χ2 tests for categorical variables and the Wilcoxon rank-sum test for continuous variables. Using the cognitively normal subjects as the reference group, associations between MCI and stroke were examined using bivariate and multivariable logistic regression models. The associations between MCI (any MCI, aMCI, and naMCI) with stroke were examined in separate logistic regression models. Although the neuropsychological test data were age-corrected through the use of the Mayo's Older American Normative Studies norms, these data only informed 1 component of the diagnosis. Therefore, all multivariable models included terms for age at evaluation (<80 vs ≥80 years), sex, and years of education (≤12 vs >12) to account for any effect of age, sex, or education on associations between MCI diagnosis and stroke history.
We also examined associations between empirically derived z scores of each cognitive domain and stroke. In these analyses, the cognitive domain scores were not age-corrected. The lowest quartile was considered impaired and was compared with 3 higher quartiles. In 1 set of models that examined cognitive domains separately, all subjects (ie, both cognitively normal subjects and those with MCI) were included. In another set of models that examined each cognitive domain separately, only cognitively normal subjects were included. The multivariable models included terms for age at evaluation (<80 vs ≥80 years), sex, and years of education (≤12 vs >12).
Confounding by diabetes (with complications), hypertension, coronary heart disease, and APOE ε4 genotype was assessed by including these variables in multivariate models as covariates, with each variable added separately and all the variables included in the model. Fourteen subjects who had insufficient information to be assigned a diagnosis of MCI, dementia, or normal cognition and subjects diagnosed with dementia through the in-person assessment (n = 67) were excluded from the analyses.
There were 1640 cognitively normal subjects and 329 subjects with MCI: 241 with aMCI and 88 with naMCI. There were 183 subjects (9.3%) with a history of stroke. Among the 1651 subjects who refused participation, medical record review showed that they were slightly older and slightly more likely to have a history of stroke (11.7%, P = .02) than participants. Table 1 describes the demographic and vascular disease characteristics of the subjects. The evaluating neurologists rated 36 of the subjects with MCI (10.9%) and 67 of the cognitively normal subjects (4.1%) as having focal neurological signs that were consistent with cerebrovascular disease based on their neurological examination. A higher proportion of subjects with MCI with a history of stroke (17 of 56 [30%]) reported changes in thinking following their stroke than did cognitively normal subjects with a history of stroke (14 of 127 [11%]).
A history of stroke was associated with MCI in unadjusted models (odds ratio [OR], 2.44; 95% confidence interval [CI], 1.74-3.43). In models that adjusted for age, sex, and education, a history of stroke was also associated with a higher risk of MCI (Table 2). When examined by MCI subtype, there was a difference between aMCI and naMCI. The association of stroke with naMCI was of greater magnitude than that with aMCI. Separate models in which diabetes (with complications), coronary heart disease, APOE genotype, and hypertension were added to the models did not alter the differential associations between history of stroke and the MCI subtypes either. Secondary analyses that excluded subjects with a history of stroke-related cognitive changes or subjects with focal neurological signs consistent with a prior stroke yielded nearly the same ORs.
In contrast to the pattern of association of stroke with MCI subtypes, APOE genotype, when included in a model with stroke, was associated with aMCI but not naMCI (Table 2). Inclusion of APOE genotype and stroke in the same models, with an interaction term, revealed no significant interaction between APOE genotype and history of stroke for either aMCI (OR, 0.68; 95% CI, 0.26-1.79) or naMCI (OR, 0.58; 95% CI, 0.13-2.48). Thus, a history of stroke was associated with both aMCI and naMCI, while APOE ε4 genotype was associated with aMCI only.
Separate analyses to investigate associations of stroke with cognitive function (assessed through neuropsychological testing) were conducted with all 1969 subjects without dementia included in the models (Table 3). A history of stroke was significantly associated with lower cognitive function in each cognitive domain except memory. The magnitude of the association was strongest for the executive function domain in unadjusted analyses (OR, 2.83; 95% CI, 2.03-3.95) and after adjusting for age, sex, and education (OR, 2.48; 95% CI, 1.73-3.53) but was also elevated about 2-fold for language and visuospatial domains. Addition of diabetes, coronary heart disease, APOE genotype, and hypertension to the models did not affect the significant associations of stroke with the 3 nonmemory cognitive domains. Secondary analyses that excluded subjects with a history of stroke-related cognitive changes or subjects with focal neurological signs consistent with a prior stroke yielded nearly the same ORs.
APOE ε4 genotype was only associated with poor performance in the memory domain (Table 3). With APOE genotype, stroke history, and an interaction term for APOE and stroke history in the same model, there was no significant interaction with any of the cognitive domains.
In a final set of models, we restricted the analyses to subjects who were assigned a diagnosis of being cognitively normal. In this subset of subjects, a history of stroke was associated with lower performance in the language and executive domains (Table 3). There were no interactions with APOE genotype. Addition of diabetes and hypertension did not alter the associations. APOE ε4 genotype only showed a trend for association with poorer memory function.
Using a case-control design in a population-based cohort, we have shown that a history of stroke was associated with a particular pattern of cognitive impairment, based not only on the categorical diagnoses of MCI vs normal cognition, but also on continuous measures of cognitive performance in the entire group of subjects without dementia. A history of stroke was independently associated with cognitive impairment in nonmemory domains after adjustment for potential confounders. The association of a history of stroke with cognition was independent of APOE ε4 genotype, and there was no interaction between the two. The association was not substantially attenuated by other vascular risk factors.
While studies have shown that a history of stroke was associated with cognitive impairment,1- 5,7 our findings may offer the clearest view of the domain specificity of the association. We found that the scores on the Trail-Making Test B and Digit Symbol Substitution test (which we labeled as exemplifying the executive function domain) were most strongly linked to a history of stroke. The 1 prior study of stroke and MCI7 that we are aware of also found that a history of transient ischemic attack or stroke was associated with naMCI.
The association between nonmemory cognitive impairment and cerebrovascular disease other than prior stroke is a recurrent theme.26 Clinically diagnosed vascular dementia has been associated with impairment in executive dysfunction.27 Imaging studies of subjects with white matter hyperintensity have found that nonmemory cognitive dysfunction was more prominent than anterograde amnesia.28- 30 Analyses of patients with lacunar infarcts and extensive white matter hyperintensity burden have also revealed more prominent associations between evidence of infarction and nonamnestic cognitive functions than with memory impairment.31 Disruption of subcortical white matter pathways that link the frontal cortex to other regions by ischemic mechanisms is an attractive explanation, as it accounts for both the clinical observations in the present study as well as the evidence from imaging linking white matter hyperintensities and lacunar infarcts to executive deficits.28,32
The immediate effect of stroke on cognition was almost entirely subclinical because most subjects in our study had no cognitive consequences of their stroke, and associations between stroke history and cognition were observed in our cognitively normal subjects. Even poststroke aphasia would have had subtle effects, as none of the subjects in the current study had dementia. There are several possible subclinical mechanisms that could account for the cumulative rather than apoplectic development of dementia due to cerebrovascular disease. One is that prior strokes, in causing brain injury, reduce brain reserve, which allows the impact of subsequent diseases such as Alzheimer disease to be manifested clinically at an earlier time.33 A second explanation posits that overt strokes are associated with progressive cerebral microvascular disease, with the latter leading to ongoing brain injury and eventually dementia. Both could account for the predilection for executive, nonmemory functions. While the brain reserve and microvascular mechanisms are not mutually exclusive, they have different implications for potential interventions. The first one views the cerebrovascular event as an insult that occurs at one point, whereas the latter hypothesizes a vascular process that is insidious and cumulative. Both, however, go well beyond the concept of vascular dementia as a disease that is exclusively due to overt, large infarcts.
The lack of attenuation of associations between stroke and cognitive impairment by other vascular risk factors is noteworthy. A history of stroke was independently associated with cognitive impairment, even with diabetes (with complications), hypertension, or coronary heart disease in the models. Diabetes with complications34 and certain types of coronary heart disease35 were also independently associated with naMCI when stroke history was in the model. This implies that there are other pathways for cerebrovascular disease besides stroke that are correlated with diabetes or heart disease. Alternatively, the latter diseases might have a direct link with neurodegenerative disease.
APOE ε4 genotype behaved quite differently as a risk factor than stroke history. It was associated both more strongly with aMCI and poor memory domain performance but not with any other cognitive domain. The association of APOE ε4 genotype with subsequent risk of cognitive decline36 and Alzheimer disease is well established.37,38 The differential associations of a history of stroke and nonmemory cognition and APOE ε4 genotype and memory suggest that the pathophysiological processes driven by cerebrovascular disease and APOE genotype are distinct.
The strengths of our study were that we derived our observations from a population-based cohort of persons who did not have dementia. The cognitive status of our subjects was evaluated with neuropsychological testing and clinical evaluation by a physician. The history of stroke was verified in the medical records of subjects using the medical records linkage system for Olmsted County residents. The weaknesses of our study were its cross-sectional design and use of prevalent cases of MCI; therefore, the temporality of exposure and disease is not clear. We did not have imaging data on the location of the strokes. More precise definitions of the strokes might have substantially increased the specificity of the estimates of association.
Correspondence: David S. Knopman, MD, Department of Neurology, Mayo Clinic College of Medicine, 200 First St SW, Rochester, MN 55905 (email@example.com).
Accepted for Publication: November 3, 2008.
Author Contributions:Study concept and design: Knopman, Roberts, Ivnik, and Petersen. Acquisition of data: Knopman, Roberts, Geda, Boeve, Tangalos, Ivnik, and Petersen. Analysis and interpretation of data: Knopman, Roberts, Pankratz, Cha, Ivnik, and Petersen. Drafting of the manuscript: Knopman, Roberts, and Cha. Critical revision of the manuscript for important intellectual content: Knopman, Roberts, Geda, Boeve, Pankratz, Tangalos, Ivnik, and Petersen. Statistical analysis: Knopman, Roberts, Pankratz, Cha, and Ivnik. Obtained funding: Knopman, Roberts, and Petersen. Administrative, technical, and material support: Knopman, Boeve, and Petersen. Study supervision: Knopman, Roberts, and Petersen.
Financial Disclosure: Dr Knopman has served on a data safety-monitoring board for Sanofi-Aventis and will serve on a data safety-monitoring board for Lilly. He is also an investigator in a clinical trial sponsored by Elan Pharmaceuticals and Forest Pharmaceuticals. Dr Petersen has been a consultant to GE HealthCare, Servier, and Elan Pharmaceuticals.
Funding/Support: This work was supported by grants P50 AG16574, U01 AG06786, and K01 AG028573 from the National Institute on Aging, K01 MH68351 from the National Institute of Mental Health, and R01 AR30582 from the National Institute of Arthritis and Musculoskeletal and Skin Diseases; and by the Robert H. and Clarice Smith and Abigail van Buren Alzheimer's Disease Research Program.