MRI white matter hyperintensities
Three-year follow-up of the Austrian Stroke Prevention Study
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Abstract
Objective: To determine the rate, clinical predictors, and cognitive consequences of MRI white matter hyperintensity evolution over 3 years.
Methods: In the setting of the Austrian Stroke Prevention Study, 1.5-T MRI was performed at baseline and at a 3-year follow-up in 273 community-dwelling elderly (mean age, 60 ± 6.1 years) without neuropsychiatric disease. At each visit individuals underwent a structured clinical interview and examination, EKG, echocardiography, extensive laboratory workup, and demanding neuropsychological testing. MR images were read by three independent raters, and the change of white matter hyperintensities from baseline was assessed by direct image comparison. The change was graded as absent, minor, or marked. Minor change was defined as a difference of no more than one to four punctate lesions between both scans. A change was considered to be marked if there was a difference of more than four abnormalities or a transition to early-confluent and confluent lesions.
Results: Combined ratings indicated lesion progression in 49 individuals (17.9%). Lesion progression was minor in 27 participants (9.9%) and was marked in 22 (8.1%). Regression of white matter hyperintensities did not occur. Diastolic blood pressure (odds ratio, 1.07/mm Hg) and early-confluent or confluent white matter hyperintensities at baseline (odds ratio, 2.62) were the only significant predictors of white matter hyperintensity progression. Lesion progression had no influence on the course of neuropsychological test performance over the observational period.
Conclusions: White matter hyperintensities progress in elderly normal subjects. Our data may be used as a reference for future observational and interventional studies on white matter hyperintensity progression in various CNS diseases. The lack of an association between lesion progression and cognitive functioning needs to be explored further.
White matter hyperintensities (WMH) are a common MRI observation in the elderly.1 When located in the deep and subcortical white matter they mostly reflect ischemic damage and correspond to focal rarefaction of myelin, loss of fibers, and sometimes even lacunar infarctions according to histopathologic correlations.2-6 Arteriolosclerosis is thought to be the most important causative factor in the evolution of such abnormalities.4 Main predictors of WMH are advancing age2,7-13 and arterial hypertension.2,7,8,11,13-15 Since 1986 it has been suggested that WMH progress gradually over time with the accumulation of vascular risk factors, and ultimately may result in extensive subcortical arteriosclerotic encephalopathy with concomitant cognitive decline.2 Indeed, numerous correlative studies described subtle neuropsychological deficits in elderly nondemented individuals with such lesions.12,16-20 Moreover, in a small sample of 26 healthy persons, it has been reported that individuals with WMH experienced a greater decline in cognitive performance than those with normal MR images over an 18-month period.21 Although these results support the suggested increase of WMH over time,2 there have been no prospective studies to date that have actually determined the rate and speed of progression, and have attempted to delineate the risk factors for and cognitive sequelae of this process. We studied the natural history of WMH during a 3-year period in a large, well-defined elderly cohort.
Methods.
Individuals and study design.
The study population consisted of participants of the Austrian Stroke Prevention Study, a single-center, prospective follow-up study on the cerebral effects of vascular risk factors in the normal elderly population of the city of Graz, Austria. The study is purely descriptive. We selected randomly a sample of 8,193 individuals age 50 to 75 years stratified by gender and 5-year age groups from the official community register. Between September 1991 and March 1994, individuals received a written invitation to participate in the study that described the purpose of the investigation. Overall, 2,794 of the invited returned a card stating their willingness to participate. Recruitment into the study was stopped after enrollment of 1,998 eligible participants. Individuals were excluded from the study if they had a history of neuropsychiatric disease, including previous cerebrovascular attacks and dementia, or an abnormal neurologic examination determined on the basis of a structured clinical interview and a physical and neurologic examination. A random age- and sex-stratified sample of nonresponders was interviewed by telephone and did not differ in terms of length of education, occupational status, and history of vascular risk factors including arterial hypertension, diabetes mellitus, and cardiac disease. All study participants underwent three blood pressure readings, EKG, echocardiography, and laboratory testing including blood cell count and a complete blood chemistry panel. Every fourth study participant or the next was invited to enter phase II of the study, which included MRI, Doppler sonography, SPECT, and neuropsychological testing. From a total of 498 phase II participants, 458 volunteered to undergo MRI. During the second study panel, 3 years after baseline, 345 phase II attendees agreed to be reexamined following the same protocol. From the 113 individuals that could not be reexamined, 7 died and another 7 experienced a stroke, which is an end point in our study. Seventy-two subjects underwent all other examinations but refused to undergo a second MR image because they experienced claustrophobic sensations during the initial evaluation. The remaining 27 individuals were contacted by telephone but did not want to undergo the extensive diagnostic workup a second time. The current study cohort is comprised of those 273 study participants, with a baseline and 3-year follow-up MRI. There were 142 women and 131 men. The mean age was 60 ± 6.1 years (median, 60.0 years). The sample consisted exclusively of whites of central European origin, and the length of education ranged from 9 to 18 years (mean, 11.7 years). At the time of examination, 48% of study participants were retired, 12% were blue-collar and 29% were white-collar workers, and 11% were housewives or housemen. No unemployed individual participated in the study. Overall, 76.6% of study participants were married, 8.4% were unmarried, 8.4% were divorced, and 6.6% were widowed. The individuals who participated in the follow-up MRI study did not differ from those who dropped out in terms of age, gender, educational and occupational status, and risk factors for stroke.
Vascular risk factors.
Historic information and laboratory findings at baseline and follow-up were considered for risk factor diagnosis. Arterial hypertension was considered present if an individual had a history of arterial hypertension with repeated blood pressure readings higher than 160/95 mm Hg, if an individual was treated for arterial hypertension, or if the two readings at the examinations exceeded this limit. Diabetes mellitus was coded present if an individual was treated for diabetes at the time of examination or if the fasting blood glucose level at one examination exceeded 140 mg/dL. Cardiac disease was assumed to be present if there was evidence of cardiac abnormalities known to be a source for cerebral embolism,22 evidence of coronary heart disease according to the Rose questionnaire,23 or appropriate EKG findings24 (Minnesota codes: I, 1 to 3; IV, 1 to 3; or V, 1 to 2), or if an individual presented signs of left ventricular hypertrophy on echocardiogram or EKG (Minnesota codes: III, 1; or IV, 1 to 3). Study participants were asked whether they ever smoked and if they currently smoked. The body mass index (BMI; in kilograms per square meters) was determined at both examinations. The means of systolic and diastolic blood pressure, fasting blood sugar, and BMI of baseline and follow-up measurements were calculated and used for data analyses.
Laboratory measurements.
During both examinations a lipid status, including the level of triglycerides, total cholesterol, low-density lipoprotein (LDL) and high-density lipoprotein (HDL) cholesterol, as well as Lp(a) lipoprotein, was determined for each study participant. Thirty minutes after venipuncture the coagulated blood samples were centrifuged at 1,600 g for 10 minutes, then the serum was transferred to plastic tubes and analyzed within 4 hours. Triglycerides and total cholesterol were determined enzymatically using commercially available kits (Uni-Kit III “Roche” and MA-Kit 100 “Roche,” Hoffman-La-Roche, Vienna, Austria). HDL cholesterol was measured by using the TDx REA Cholesterol assay (Abbott, Vienna Austria). LDL cholesterol was calculated by the equation of Friederwald. Lp(a) lipoprotein concentration was determined by the electroimmunodiffusion method using a reagent kit containing monospecific anti-Lp(a) antiserum and the Rapidophor M3 equipment (Immuno AG, Vienna, Austria). The levels of apolipoprotein B and A-I were assessed with an immunoturbidometric method utilizing polyclonal antibodies and a laser nephelometer (Behringwerke AG, Marburg, Germany). We also measured the plasma fibrinogen concentration of study participants according to the Clauss method, using the prescription and reagents of Behringwerke AG. For data analysis we used the means of the baseline and follow-up lipid and fibrinogen values.
Magnetic resonance imaging.
MRI was performed on 1.5-T supraconducting magnets (Gyroscan S 15 and ACS, Philips, Eindhoven, The Netherlands) using proton density- and T2-weighted sequences (repetition time [TR]/echo time [TE], 2,000 to 2,500 msec/30 to 90 msec) in the transverse orientation. T1-weighted images (TR/TE, 600/30 msec) were generated in the sagittal plane. The slice thickness was 5 mm and the matrix size was 128 × 256 pixels. At baseline and the 3-year follow-up, the MRI protocols were identical. The scanning plane was always determined by a sagittal and coronal pilot to ensure consistency in image angulation throughout the study. The baseline and follow-up scans of each study participant were read independently by three experienced investigators blinded to the clinical data of study participants. Blinding of the readers for the date of the examinations was impossible because the format of hard copies changed from baseline to follow-up. Only proton density-weighted images were used for WMH reading. WMH were specified and graded according to our scheme8,25 into absent (grade 0), punctate (grade 1), early-confluent (grade 2), and confluent (grade 3) abnormalities. The number of WMH was recorded and categorized into zero, one to four, five to nine, and more than nine lesions. We disregarded caps and “pencil-thin” periventricular lining because they represent normal anatomic variants.5,26 Change of WMH in grade and number from baseline was determined by direct scan comparison. The change in number was again categorized into zero, one to four, five to nine, and more than nine lesions. Regression or progression of WMH was then graded as absent, minor, or marked. A change from baseline by one to four punctate lesions was defined as minor. If there was a difference of more than four lesions, or a transition to early-confluent or confluent WMH, the change was considered to be marked.
Examples for minor and marked progression of abnormalities are shown in figures 1 and 2⇓. The final rating of WMH evolution relied on the majority judgment of the three assessors. In case of complete disagreement, consensus was found in a joint reading session. During the baseline examination, four participants were found to have silent thromboembolic infarcts and 18 had lacunes, defined as focal lesions involving the basal ganglia, the internal capsule, the thalamus, or the brainstem not exceeding a maximum diameter of 10 mm. These individuals were not excluded from additional study.
Figure 1. Minor white matter hyperintensity progression in a 59-year-old female study participant. The baseline scan was normal (left). One punctate white matter abnormality in the frontal subcortical white matter (arrow) was noted at the 3-year follow-up examination (right).
Figure 2. Marked white matter hyperintensity progression in a 67-year-old female study participant. The composite shows baseline scans (left) and the corresponding follow-up studies (right). Several punctate foci were seen at baseline. After 3 years multiple, new, and partly confluent abnormalities occurred.
Neuropsychological testing.
During the baseline and 3-year follow-up, an identical neuropsychologic test battery assessing memory and learning abilities, conceptional reasoning, attention, and speed as well as visuopractical skills was administered to every subject. For tests of memory and learning as well as conceptional reasoning we administered validated parallel forms at follow-up. The tests employed have been widely used in the German-speaking area and were always applied in the same order and under same laboratory conditions. Bäumler’s “Lern-und Gedächtnistest”27 assessed for learning capacity and intermediate memory. It is a highly demanding, paper–pencil procedure and consists of six subtests. Three subtests (word and digit association tasks, and story recall) screen for verbal memory, and two subtests (trail and design recall) screen for visuospatial memory. The sum of weighted scores from these subtests and of an image recognition paradigm result in the total learning and memory performance score. The stimulus sets of the word association task (German–Turkish word pairs), the story (facts about construction of a library), and design recall (core symbol and frame), and the recognition paradigm (objects) consist of 20 items each. A trail in an abstracted city map serves as the trail recall test. These sets of stimuli were presented to the person being tested for 1 minute. Two minutes were given for learning the 13 items of the digit association task (three-digit telephone numbers and names of extension holders). During a learning phase the six sets of stimuli are subsequently presented to the person being tested. The recall phase starts immediately thereafter and follows the same order. The delay between presentation and recall for a given subtest ranges between 7 and 11 minutes. The Wisconsin Card Sorting test28 was used as a measure of conceptional reasoning. Adhering to Millner’s criteria,29 the measures computed were categories completed, perseverative errors, and total errors. Attention and speed were assessed with the Alters–Konzentrations–Test of Gatterer,30 form B of the Trail Making Test,31 the Digit Span Test from the Wechsler Adult Intelligence Scale–Revised,32 and a complex reaction time task.33 The Alters–Konzentrations–Test is a cancellation test that has been designed particularly for use in elderly populations. The test is composed of 5 lines with 11 symbols each. The target symbol is a semicircle with the base on the bottom and a black quadrant on the right. Distractors are semicircles that are either positioned differently or positioned with the black quadrant on the left. The persons being tested were instructed to work as quickly and as accurately as possible. The variables used for analysis were the time needed to finish the test and the number of correct responses. The reaction time task was performed on a computerized system that tested the subject’s ability to react selectively to a specific combination of a visual and acoustic signal by pressing a button as quickly as possible. The computer records the number of correct responses and the reaction time. Visuopractical skills were evaluated with the Purdue Pegboard Test.34
Statistical analyses.
We used the Statistical Package of Social Sciences (PC+) (version 8.0.0; SPSS Inc., Chicago, IL) for data analysis. The degree of agreement for WMH rating at baseline and for WMH progression rating among observers was expressed by the means of kappa statistics. According to Fleiss,35 a kappa value less than 0.40 reflects poor agreement, a value between 0.40 and 0.75 indicates fair to good agreement, and a kappa value higher than 0.75 reflects excellent agreement. The kappa statistic was calculated for the agreement between each pair of raters. Categoric variables among the subgroups of individuals with various degrees of WMH progression were compared using the Mantel–Haenszel test for linear trend. Assumptions of normal distribution for continuous variables were tested by Lillifors statistics. Normally distributed continuous variables were compared with one-way analysis of variance (ANOVA), and the Kruskall–Wallis test was used to compare abnormally distributed variables. Multiple logistic regression analysis was used to assess the relative and independent contribution of demographics, vascular risk factors, and baseline MRI findings on total WMH progression. We simultaneously entered age, sex, and all variables for which the p value was less than 0.10 after univariate testing. The selected factors were used as independent variables, and the presence or absence of WMH progression was used as a dependent variable. Odds ratios and 95% CIs were calculated from the beta coefficients and their standard errors. ANOVA for repeated measures, with adjustment for age and duration of education, was applied to evaluate the effect of WMH progression × time on neuropsychological test performance.
Results.
At baseline, 176 individuals (64.5%) had WMH. Punctate, early-confluent, and confluent changes were noted in 142 (52.0%), 25 (9.2%), and 9 (3.3%) participants. There were 90 individuals (33.0%) with one to four abnormalities, 36 individuals (13.2%) with five to nine abnormalities, and 50 individuals (18.3%) with more than nine abnormalities. The interrater agreement for WMH grade at baseline ranged from 0.63 to 0.70, and for WMH number it ranged from 0.66 to 0.68. Table 1 shows the frequency and extent of WMH change at follow-up as indicated by each rater and by combined judgment. As can be seen from the table, WMH regression did not exceed four lesions, and there was never a consensus on evidence of regression among raters. Progression occurred by one grade at most. Combined judgment indicated an increase by one to four WMH in 32 individuals (11.7%); more than four lesions developed in 14 study participants (5.2%) throughout the observational period. Overall, any progression in grade or number was noted in 49 study participants (17.9%). Progression was minor in 27 individuals (9.9%) and marked in 22 (8.1%). The kappa values for any progression ranged from 0.52 between raters 1 and 3 to 0.58 between raters 1 and 2. The agreement between raters for marked WMH progression was excellent (kappa range, 0.76 to 0.83) whereas there was only poor interrater reliability for rating minor progression (kappa range, 0.29 to 0.41). As shown in table 2, individuals with progressing lesions were older, had higher diastolic blood pressure, higher fibrinogen levels, and demonstrated higher grades and numbers of WMH at baseline MRI. Also, presence of arterial hypertension tended to be more common in these individuals, and they had a trend toward higher systolic blood pressure. When entering these variables simultaneously into a logistic regression model, diastolic blood pressure and evidence of grade 2 or grade 3 WMH at baseline remained the only significant and independent predictors of lesion progression (table 3). The same variables were found to be significantly related to progression when considering only marked progression in the analysis.
Frequency and degree of white matter hyperintensity (WMH) change after 3 years
Selected demographic variables, risk factors, and baseline MRI findings in individuals without, with minor, and with marked white matter hyperintensity progression
Logistic regression analysis: Predictors of white matter hyperintensity (WMH) progression
Throughout the observational period, test performance improved on the subtest “perseverative errors” (p = 0.001) and “total errors” (p = 0.02) of the Wisconsin Card Sorting Test whereas it declined on the Trail Making Test because the study participants needed more time to finish the test (p = 0.02) during the follow-up examination. Progression of WMH had no influence on the course of cognitive functioning. A subanalysis for only marked WMH progression did not alter the results. (The neuropsychological test results in individuals without and with WMH progression have been filed with the National Auxiliary Publication Service.) The power of the statistical analyses of neuropsychological results was low. The highest value for a given test (Purdue Pegboard Test, preferred hand) was 42%.
Discussion.
In our cohort of neurologically asymptomatic middle-age and older individuals, 17.9% of the participants showed a progression of deep and subcortical WMH during a 3-year time period. The progression was minor in 9.9% and marked in 8.1% of individuals. Regression of WMH did not occur. Some bias toward a higher progression rating might have occurred in this study due to the raters’ awareness of the time sequence of scans. Unfortunately, blinding for the date of scanning was not possible because the format of hard copies changed between the baseline and the follow-up MRI examinations.
The interrater reliability for a diagnosis of marked progression was excellent, but there existed only poor agreement among the assessors for rating minor progression in the range of one to four punctate foci. It is evident that subtle changes from baseline might be missed more readily by a single evaluator than marked changes. Yet we cannot exclude that in some cases minor progression was assumed wrongly as a result of slight differences in image quality or angulation, even though this was a prospectively designed study with a constant MRI protocol. The low interrater agreement for minor WMH progression should be considered in future intervention trials that plan to use progression of white matter lesions as an outcome measure.
Before our study at least two investigations reported data on WMH progression in small samples.36,37 One study was published in abstract form and was comprised of 60 healthy elderly. The authors described the mean increase of WMH on a semiquantitative 18-point scale over a 5-year period, but did not report the actual frequency of participants with progressing white matter changes.36 This made a direct comparison with our results impossible. The second investigation reported that 8 of 14 normal or mild to moderately demented individuals showed an increase in WMH over an observational period of 2 years.37
We found that diastolic blood pressure and the extent of WMH at baseline were the only significant and independent predictors of lesion progression. There existed no relationship with age or other major risk factors for stroke. Very similar results have also been reported by the previous investigations on the evolution of WMH in healthy and mild to moderately demented individuals.36,37 Age was not associated with lesion progression, although virtually all studies on risk factors for WMH found that advancing age is their most important predictor.1,2,7-13 This is not contradictory, however, because increasing age implies a higher probability of lesion accumulation but does not necessarily affect the the speed of lesion progression.
Multivariate statistical analysis demonstrated that our study participants with early-confluent or confluent abnormalities during the first MRI examination had a 2.6-fold increased risk for additional lesion progression than their counterparts with either normal scans or only punctate changes. The relationship was independent of other major risk factors for stroke, which provides additional evidence for other predisposing factors than those generally held responsible for atherothrombotic brain infarction to play an important role in the pathogenesis and evolution of MRI white matter abnormalities. Our observation is also in line with pathohistologic findings demonstrating that only more extensive abnormalities reflect a true ischemic process, which is likely to progress, whereas punctate foci represent a plethora of minimal cerebral changes that cannot be attributed unequivocally to brain ischemia.2,5,38 Nonischemic pathologic correlates of punctate WMH are enlarged spaces around arterioles2,5,37 and venules.5 In some cases even ganglionic cell heterotopia was noted.37
Although most previous investigations on neuropsychological consequences of WMH described subtle cognitive impairment at a higher lesion load,10,12,16-20 we did not find any association between lesion progression and cognitive decline in the current study. This applies to all cognitive domains, including attention and speed of mental processing—the two intellectual functions most severely affected in the presence of white matter lesions in normal subjects.10,12,16,18-20 There was also no association between WMH progression and test performance when we excluded the subset of individuals with only minor progression. Several methodological issues need to be discussed before interpreting these results. The size of the subgroup with WMH progression was small and the variability of neuropsychological test results was considerable, which resulted in an insufficient statistical power to detect small effects. Also, the relatively short time of follow-up in a neurologically normal sample with a low tendency for cognitive decline might have contributed to our negative findings. It is of note, however, that we did not even see a trend toward more pronounced impairment over time on any of the cognitive measures in individuals with lesion progression. It might well be that the extent of abnormalities in study participants with progression was still below the threshold reported to affect cognitive functioning,19 or that expansion and increasing number of lesions indeed play only a subordinate role for the development of WMH-related neuropsychological dysfunction. Other characteristics of evolving lesions, such as their location, may be much more important. The small size of the study subset with WMH progression precluded a further breakdown of the current cohort. Data pooling from several centers will probably be necessary to allow a more detailed assessment of the association between WMH progression and cognitive functioning.
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Footnotes
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Funded by the Austrian Science Fund (F.F.), project P13180-MED.
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Presented in part at the 50th annual meeting of the American Academy of Neurology, Minneapolis, MN.
- Received September 9, 1998.
- Accepted February 13, 1999.
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