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September 28, 2004; 63 (6) Article

NINDS AIREN neuroimaging criteria do not distinguish stroke patients with and without dementia

C. G. Ballard, E. J. Burton, R. Barber, S. Stephens, R. A. Kenny, R. N. Kalaria, J. T. O’Brien
First published September 27, 2004, DOI: https://doi.org/10.1212/01.WNL.0000138435.19761.93
C. G. Ballard
From the Wolfson Centre for Age Related Diseases (Dr. Ballard), King’s College London, and Institute for Aging and Health (Drs. Burton, Barber, Kenny, Kalaria, and O’Brien, S. Stephens), University of Newcastle, UK.
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E. J. Burton
From the Wolfson Centre for Age Related Diseases (Dr. Ballard), King’s College London, and Institute for Aging and Health (Drs. Burton, Barber, Kenny, Kalaria, and O’Brien, S. Stephens), University of Newcastle, UK.
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R. Barber
From the Wolfson Centre for Age Related Diseases (Dr. Ballard), King’s College London, and Institute for Aging and Health (Drs. Burton, Barber, Kenny, Kalaria, and O’Brien, S. Stephens), University of Newcastle, UK.
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S. Stephens
From the Wolfson Centre for Age Related Diseases (Dr. Ballard), King’s College London, and Institute for Aging and Health (Drs. Burton, Barber, Kenny, Kalaria, and O’Brien, S. Stephens), University of Newcastle, UK.
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R. A. Kenny
From the Wolfson Centre for Age Related Diseases (Dr. Ballard), King’s College London, and Institute for Aging and Health (Drs. Burton, Barber, Kenny, Kalaria, and O’Brien, S. Stephens), University of Newcastle, UK.
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R. N. Kalaria
From the Wolfson Centre for Age Related Diseases (Dr. Ballard), King’s College London, and Institute for Aging and Health (Drs. Burton, Barber, Kenny, Kalaria, and O’Brien, S. Stephens), University of Newcastle, UK.
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J. T. O’Brien
From the Wolfson Centre for Age Related Diseases (Dr. Ballard), King’s College London, and Institute for Aging and Health (Drs. Burton, Barber, Kenny, Kalaria, and O’Brien, S. Stephens), University of Newcastle, UK.
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Citation
NINDS AIREN neuroimaging criteria do not distinguish stroke patients with and without dementia
C. G. Ballard, E. J. Burton, R. Barber, S. Stephens, R. A. Kenny, R. N. Kalaria, J. T. O’Brien
Neurology Sep 2004, 63 (6) 983-988; DOI: 10.1212/01.WNL.0000138435.19761.93

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Abstract

Objective: To determine the utility of the neuroimaging component within the National Institute of Neurological Disorders and Stroke (NINDS) Association Internationale pour la Recherche et l’Enseignement en Neurosciences (AIREN) criteria for vascular dementia for distinguishing between patients with and without dementia in the context of cerebrovascular disease.

Method: One hundred twenty-five poststroke patients age ≥75 (27 with and 98 without poststroke dementia) from representative hospital-based stroke registers in the North East of England were evaluated using a 1.5 T MR scanner. The proportion of patients with and without poststroke dementia meeting the imaging component of the NINDS AIREN criteria was determined, and hippocampal atrophy (measured using the Schelten scale) was compared between the two groups.

Results: There were no significant differences between the patients with and without poststroke dementia on any criteria of the imaging parameters within the NINDS AIREN criteria. In addition, there were no significant differences in the number or size of cortical or subcortical infarcts between the two groups, with 13 patients without dementia having cortical infarcts >50 mm. Patients with dementia had greater hippocampal atrophy (right: Mann–Whitney U test, Z = 2.5, p = 0.01; left: Mann–Whitney U test, Z = 2.5, p = 0.01).

Conclusion: The neuroimaging component of the NINDS AIREN criteria does not distinguish between older patients with and without poststroke dementia.

Twenty-five percent of stroke survivors have dementia as a direct result of the stroke event,1–3⇓⇓ and the delayed development of incident dementia remains up to nine times greater than in an age-matched population for ≥5 years post stroke.4 Prevalence rates are even higher among older stroke survivors,1,5,6⇓⇓ with a recent report indicating an odds ratio of 7.5 for the risk of dementia when comparing stroke patients over and under age 75.6

The National Institute of Neurologic Disorders and Stroke (NINDS) Association Internationale pour la Recherche et l’Enseignement en Neurosciences (AIREN)7 criteria are the most widely used criteria for the operationalized clinical diagnosis of vascular dementia (VaD). They have been shown to have high specificity and moderate sensitivity for discriminating patients with VaD from those with Alzheimer disease (AD).8–10⇓⇓ Less attention, however, has been paid to how well they discriminate between patients with and without dementia in the context of clear-cut cerebrovascular disease. Of the operationalized clinical criteria for vascular dementia (NINDS AIREN,7 California criteria,11 Diagnostic and Statistical Manual of Mental Disorders [4th ed.; DSM-IV],12 International Classification of Diseases [10th ed.]),13 the NINDS AIREN are the only set that incorporate specific criteria for the identification of specific types of vascular lesion on neuroimaging, which probably explains their superior specificity for the diagnosis of VaD. For this reason, they have become established as the “gold standard” for clinical trials in VaD patients, although the restrictiveness of the criteria can be problematic. They require vascular lesions to meet criteria for both topography (i.e., anatomic localization) and severity and highlight multiple cortical infarcts, large single infarcts, specifically defined strategic infarcts, and extensive white matter disease (>25%) as the necessary vascular lesions for a diagnosis of possible or probable VaD.

The criteria are supported by some, but not all, of the evidence from empirical studies. For example, a landmark neuropathologic study highlighted the importance of the size of cortical infarcts (>50 mL), multiple strokes, bilateral strokes, or strokes in strategically important areas.14 A more recent neuropathologic study, however, did not identify any differences in cortical infarct number or size between stroke patients with and without dementia.15 Although early neuroimaging studies were unable to confirm the importance of infarct volume,2,16⇓ more recent reports do suggest that those patients with a greater total infarct volume are more likely to develop dementia.3,17,18⇓⇓ Neuroimaging studies also provide some support for the neuropathologic observation that multiple infarcts may be important in those stroke patients who develop dementia.19 Several case series focus on patients with infarcts suggested to have occurred in strategically important areas,20–22⇓⇓ in particular highlighting the thalamus and internal capsule as potentially important. However, the absence of control cohorts of stroke patients without dementia makes these observations difficult to interpret.

A number of reports16,18,23⇓⇓ indicate that there is a significant association between white matter hyperintensities (WMHs) and poststroke cognitive impairment or dementia, although none of the studies evaluate the specific threshold specified in the NINDS AIREN criteria. Neuropathologic studies also highlight the importance of microvascular lesions,15,24⇓ although many of the patients with dementia in their study did not meet the “25%” criteria specified within the NINDS AIREN.

Importantly, the majority of previous studies have focused on younger stroke patients, with little work focusing on patients over age 75. This is a concerning paradox, given the substantially increased risk of dementia in older stroke patients, and it cannot be automatically assumed that the substrates of dementia are the same across the full age range. For example, a recent report25 highlighted the potential importance of concurrent atrophy as an association of dementia in stroke patients and postulated that this may be more important in older patients. Supporting this hypothesis, recent neuropathologic work has indicated greater deposition of amyloid in older compared with younger patients with VaD,26 suggesting a greater overlap of cerebrovascular and neurodegenerative processes in older individuals. As stroke patients over age 75 are those at greatest risk of dementia, it is important to specifically clarify the substrates of dementia in these patients.

We hypothesized that the size of cortical infarcts would be important associations of dementia in older stroke patients, but that the criteria for white matter disease specified within the NINDS AIREN will not distinguish significantly between older stroke patients with and without dementia. We also hypothesized that medial temporal lobe atrophy (MTA) will be associated with dementia in poststroke patients over age 75.

Methods.

Participants.

We recruited consecutive stroke patients age 75 or older from representative hospital-based stroke registers in Tyneside and Wearside, UK. Patients were included if they were free of any disabilities that would preclude computer-assisted cognitive testing (e.g., aphasia, hemiparesis affecting the hand used for writing). Stroke was defined using the World Health Organization definition27. The patient cohort was comprehensively assessed at 3 months post stroke using a standardized battery, to permit patients to have stabilized following their period of maximal recovery.1 The evaluation included a detailed medical history, an assessment of neurologic deficits, depression, a full blood screen, and CT scan. Dementia was diagnosed according to DSM-IIIR criteria.28 Based on a detailed history (using an operationalized instrument: the History and Etiology Schedule)29 and an evaluation of case records, patients with dementia were excluded from the study if there was evidence of dementia prior to the stroke.

The appropriate local research ethics committees all granted ethical approval for the study. Following full explanation and discussion of the study, patients gave their consent to the evaluations, with additional assent from the next of kin.

Neuropsychological evaluations were completed using the Cambridge Assessment Mental Disorders in the Elderly, Section B (CAMCOG),30 which includes detailed subscores for memory and executive function, and the Cognitive Drug Research31 computerized battery, which includes Choice Reaction Time and Digit Vigilance tasks.

MRI methods.

All subjects were imaged using a 1.5T GE Signa scanner (General Electric, Milwaukee, WI) within 3 months of the baseline neuropsychological assessment. The imaging protocol included structural T1-weighted three-dimensional fast spoiled gradient echo images (repetition time [TR] = 12.4 milliseconds, echo time [TE] = 4.2 milliseconds, inversion time [TI] = 650 milliseconds, flip angle = 15°, 1.6-mm slice thickness, 20-cm field of view, 256 × 256 matrix) acquired in the coronal plane and fluid-attenuated inversion recovery (FLAIR) images, acquired axially (TR = 10,000 milliseconds, TE = 125 milliseconds, TI = 2,100 milliseconds, slice thickness 5 mm, with an interslice gap of 0.3 mm).

MTA.

A standardized scale32 was used to rate left and right MTA from hard copies of T1-weighted coronal images (1.6-mm slice thickness, no gap). The 5-point (0 to 4) scale rates atrophy based on the height of the hippocampal formation and the width of the surrounding CSF spaces, with 0 being no atrophy and 4 indicating severe atrophy. All scans were assessed by two experienced raters blinded to diagnosis, and a score was assigned when consensus was reached.

Infarcts.

Hard copies of T1-weighted images (reconstructed in the axial plane to match the FLAIR images) were used to determine the number, size, and location of cerebral infarcts. Lesions with signal characteristics similar to CSF and >3 mm in diameter were regarded as infarcts. Infarcts were classified as cortical, white matter, or subcortical. Those cortical infarcts spanning into white matter were labeled cortical. White matter infarcts were those only occurring in the white matter. Cortical and white matter infarcts were graded accorded to the largest diameter (3 to 9, 10 to 29, 30 to 49, and >50 mm). Subcortical infarcts were graded as 3 to 9 or >10 mm. Laterality was also recorded, and all scans were rated blindly by consensus between two experienced raters.

At the same time, the criteria for vascular lesions as specified by NINDS AIREN were also documented for each patient. WMHs were rated from hard copies of FLAIR images acquired in the axial plane. As part of the NINDS AIREN criteria, those with extensive periventricular white matter lesions and leukoencephalopathy involving at least 25% of the total white matter were recorded.

Statistical analysis.

Imaging characteristics from the NINDS AIREN criteria were compared between the stroke patients with and without dementia using the χ2 test. Additional comparisons between the groups focusing on the number of infarcts in specific regions and cognitive performance were undertaken using the Mann–Whitney U test. All evaluations utilized the SPSS computerized statistics package (version 11; Chicago, IL).

Results.

One hundred thirty-seven patients were recruited. Of these, 103 were free of cognitive decline post stroke and 34 had developed dementia. Twelve participants were excluded (three: movement, four: no evidence of cerebral infarction on MR, one: unable to tolerate the MR examination, one: tumor, three: dementia pre stroke). The final study population consisted of 125 patients. Ninety-eight were stroke patients without dementia and 27 with poststroke dementia.

The patients with dementia were more likely to be male and more likely to have a history of myocardial infarction but were not older. As would be expected, the dementia group had significantly greater impairment of cognitive function. A full description of the characteristics of the sample is shown in table 1.

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Table 1 Demographic and cognitive characteristics for stroke patients with and without dementia

None of the patterns of cerebrovascular disease (including large infarcts, multiple infarcts, specific strategic infarcts, and extensive white matter lesions) highlighted as essential for a diagnosis of probable VaD within the NINDS AIREN criteria was significantly different between stroke patients with or without dementia (table 2). Of particular interest, 13 (13%) of the stroke patients without dementia had single infarcts >50 mm, although they had significantly greater impairment of memory and executive function than patients with smaller infarct volumes (table 3).

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Table 2 NINDS AIRENS neuroimaging criteria and dementia

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Table 3 Characteristics of nondemented stroke patients with and without cortical infarcts >50 mm

In a more extensive comparison of the number of infarctions in specific regions by dementia status, none of the other comparisons was significant (frontal cortical infarcts: Z = 0.04, p = 0.96; parietal cortical infarcts: Z = 1.4, p = 0.17; occipital cortical infarcts: Z = 0.4, p = 0.72; temporal cortical infarcts: Z = 0.8, p = 0.41; total cortical infarcts: Z = 0.7, p = 0.48; frontal white matter infarcts: Z = 0.04, p = 0.97; parietal white matter infarcts: Z = 0.3, p = 0.78; occipital white matter infarcts: Z = 0.5, p = 0.60; total white matter infarcts: Z = 0.7, p = 0.48; frontal cortical <9 mm: Z = 0.7, p = 0.47; parietal cortical <9 mm: Z = 0.7, p = 0.46; occipital cortical <9 mm: Z = 0.7, p = 0.46; temporal cortical <9 mm: Z = 0.9, p = 0.36; total cortical <9 mm: Z = 0.2, p = 0.81; frontal white matter lacunes: Z = 0.7, p = 0.46; parietal white matter lacunes: Z = 0.2, p = 0.85; occipital white matter lacunes: Z = 1.0, p = 0.33; temporal white matter lacunes: Z = 0.7, p = 0.48; total white matter lacunes: Z = 0.6, p = 0.52).

In contrast, the stroke patients with dementia had more MTA than those without (right: mean 2.13 ± 1.23 vs 1.46 ± 0.95, Z = 2.5, p = 0.01; left: mean 1.96 ± 1.12 vs 1.29 ± 1.0, Z = 2.5, p = 0.01; see table 2).

Regression analysis was used to look at the relationship between extensive periventricular white matter lesions, age, and hippocampal atrophy. Right-sided MTA was associated with extensive white matter lesions (p < 0.028), whereas there was a trend for greater white matter lesions with left-sided hippocampal atrophy (p < 0.053). The inclusion of age in the regression analysis showed similar results (right MTA: p < 0.016; left MTA: p < 0.059).

Discussion.

The current study focuses on 125 older stroke patients (mean age 80) with (n = 27) or without (n = 98) dementia from representative hospital-based stroke registers in the North East of England. The substrates of cerebrovascular disease highlighted as critical for a diagnosis of VaD according to the NINDS AIREN criteria were not significantly more frequent in stroke patients with dementia than those without. Furthermore, in this cohort of older stroke patients, there was no association between large, multiple, strategic, or bilateral cortical infarcts, white matter infarcts, or extensive white matter disease (as defined within the NINDS AIREN criteria) and the presence of dementia. In contrast, MTA was significantly associated with dementia and is perhaps a more substantial contributor to poststroke dementia in older stroke patients than has been previously recognized. Dementia was evaluated by an expert clinician according to operationalized criteria, based on a detailed clinical and neuropsychological evaluation at 3 months post stroke; hence, the absence of dementia is a robust diagnosis. In the people with dementia, medical records and a clinical history from an informant were utilized to ensure that dementia did not precede the stroke. The quality of information was generally good, but the possibility that a small proportion of these individuals had dementia before the stroke cannot be dismissed. In addition, the sample size of patients with dementia is modest, which widens the confidence intervals for the percentages in table 2. Of particular interest, there were 13 patients with infarct volumes >50 mm who did not have dementia, although these individuals did have subtle cognitive impairments with mild deficits of memory and attention. This refutes the suggestion that 50 mm of infarct volume is invariably or even usually a sufficient substrate for dementia.

Although a number of studies indicate that the NINDS AIREN criteria have excellent specificity at separating patients with VaD from those with AD, the current data support a previous small neuropathologic study in older patients with cerebrovascular disease in suggesting that there are no clear-cut differences in the magnitude or distribution of cortical infarcts between patients with and without dementia in the context of cerebrovascular disease.24 The findings are also consistent with important recent work suggesting that subcortical ischemic VaD is associated with hippocampal and cortical atrophy but not the number or distribution of lacunes.33 Our results indicate that review of the criteria is appropriate. However, given the limited evidence base, available specific recommendations would be inappropriate. Although further studies are needed to inform the revision of criteria, accumulating evidence suggests there should be increased emphasis on the severity and distribution of white matter lesions.

When interpreting these findings, it is, however, important to consider the possibility that some of these individuals with hippocampal atrophy in the absence of dementia may be in the “preclinical” stages of a developing dementia. For example, many individuals meeting diagnostic criteria for mild cognitive impairment have some hippocampal atrophy (but not dementia),34 and several studies have indicated that this may be a predictor of future dementia in these people.35 In addition, many older people with cerebrovascular disease have some concurrent neurodegenerative changes, although this was not verified at autopsy in the current study. It is likely that many of these individuals had some “prestroke” hippocampal atrophy in the absence of dementia. In the context of a number of studies highlighting the interactive effects of neurodegenerative and vascular pathology,36,37⇓ it is likely that pre-existing “subclinical” atrophy may have made them more vulnerable to experiencing cognitive deficits after a subsequent stroke. As this is a common clinical presentation in older patients with cerebrovascular disease, diagnostic criteria need to be applicable to these individuals.

Although there was no association between the WMH criteria within the NINDS AIREN and the presence of dementia, the majority of evidence from previous studies indicates the importance of WMH as a substrate of dementia and as an association of key neuropsychological deficits. Perhaps of particular importance, a key neuropathologic study15 highlighted the importance of WMH but reported that many of the patients had insufficient WMH to meet the 25% criteria within the NINDS AIREN criteria. As this threshold was not empirically derived and does not seem useful in discriminating between stroke patients with and without dementia, there is a particular need to redefine this aspect of the criteria.

At first consideration, there appears to be a discrepancy between these data and some previous reports, but this is probably explained by the age of the cohorts. The size and number of infarcts may be an important association of dementia in younger stroke patients but may be less important in older individuals. However, this is only a hypothesis, and it is a limitation of the study that there was no younger comparison group. It is a concern that the distribution of vascular lesions identified in the NINDS AIREN criteria as indicative of VaD does not appear to distinguish people with and without dementia, as it therefore suggests that the relatively precise descriptions of qualifying lesions may be unnecessarily restrictive and may hence lead to “false negatives,” not only in studies of patients with cerebrovascular disease but in other contexts where the differential diagnosis of dementia is the key. We suggest that revised criteria or a caveat within the existing criteria may be needed for stroke patients with dementia in general and for older patients with dementia in the context of cerebrovascular disease. These criteria will need to relax the requirements for specific types of cortical infarction and improve the operationalization of what constitutes sufficient WMH. In addition, the potential importance of concurrent MTA in these patients should be discussed. Improving the sensitivity of operationalized criteria for VaD is a particular priority now that specific pharmacologic treatments are becoming available for these patients. Hence, a review of the neuroimaging specifications is especially timely.

Acknowledgments

Supported by the Medical Research Council.

  • Received December 12, 2003.
  • Accepted in final form May 17, 2004.

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Disputes & Debates: Rapid online correspondence

  • NINDS AIREN neuroimaging criteria do not distinguish stroke patients with and without dementia
    • Wiesje van der Flier, Vrije Universiteit Medical Center, PO Box 7057, 1007 MB Amsterdam, the Netherlandswm.vdflier@vumc.nl
    • Ilse van Straaten, Frederik Barkhof, Philip Scheltens
    Submitted April 16, 2005
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