scholarly journals Age‐related ventricular expansion is not spatially concordant with MR‐visible periventricular white matter disease

2021 ◽  
Vol 17 (S1) ◽  
Author(s):  
Daniel L Schwartz ◽  
Caela Hung ◽  
David Lahna ◽  
Natalie E Roese ◽  
Randy L Woltjer ◽  
...  
Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Muhammad Bilal Tariq ◽  
Shekhar Khanpara ◽  
Eliana Bonfante Mejia ◽  
Liang Zhu ◽  
Christy T Ankrom ◽  
...  

Background: While tPA may be safe in the elderly, increasing age appears to augment risk of post-tPA symptomatic intracranial hemorrhage (sICH). Age-related white matter changes (ARWMC) are associated with increased sICH. Patients evaluated for acute ischemic stroke (AIS) via telestroke (TS) may not have access to MRI to allow incorporation of microbleeds in tPA decisions. We assessed if increased CT-based ARWMC was associated with increased sICH in elderly patients. Methods: Patients 80 years and older who received tPA for AIS at spoke hospitals were selected from our TS network registry from 9/2015 to 12/2018. TS spoke CT scans from patient presentation were reviewed by three of the authors for periventricular white matter (PWMC) and deep white matter (DWMC) changes. Total ARWMC score, based on the Fazekas score, was collected. Total ARWMC score was either mild (0-2), moderate (3-4), or severe (5-6). PWMC and DWMC were either mild (0-1) or moderate-severe (2-3). Logistic regression adjusted for age, sex, race, ethnicity, NIHSS and premorbid mRS was used to analyze relationship of ARWMC scores with sICH and patient-outcomes. Results: Of 241 patients, median age overall was 86 years (IQR 83-90), and 66% were female. The overall median ARWMC score was 3 (IQR 2-5). Regression analysis showed that more severe ARWMC scores did not lead to higher frequency of post-tPA ICH (moderate OR 0.57, CI 0.19-1.71; severe OR 1.32, CI 0.48-3.65) including sICH (moderate OR 0.78, CI 0.21-2.94; severe OR 2.09, CI 0.62-7.02). Similarly, severe PWMC and DWMC were not associated with increased risk of post-tPA ICH (PWMC OR 1.31, CI 0.51-3.38; DWMC OR 1.25, CI 0.52-3.01), including sICH (PWMC OR 1.61, CI 0.51-5.08; DWMC OR 1.81, CI 0.65-5.01). In our cohort, older patients had no difference in hemorrhage (ICH OR 0.93 CI 0.85-1.00: sICH OR 0.95 CI 0.86-1.04), and patients with less severe stroke were more likely to have hemorrhage (ICH OR 1.06 CI 1.02-1.10; sICH OR 1.08 CI 1.03-1.13). IRR among the CT scan readers was moderate (k=0.504). Conclusions: ARWMC scores were not associated with post-tPA ICH in the elderly. Our analysis lends support for the use of tPA despite severity of white matter disease. ARWMC should not be used to assist in tPA decision-making in elderly patients via telestroke.


Circulation ◽  
2017 ◽  
Vol 135 (suppl_1) ◽  
Author(s):  
Joshua Z Willey ◽  
Yeseon Park Moon ◽  
Janet DeRosa ◽  
Erin Kulick ◽  
Sandino Cespedes ◽  
...  

Introduction: Age-related decline in gait and balance is a contributor to morbidity in the elderly. Subclinical cerebrovascular disease, seen on magnetic resonance imaging (MRI) as white matter hyperintensities (WMH) and silent brain infarcts (SBI), is associated with impaired mobility. Less is known about the association of WMH in specific brain regions and mobility impairment. We hypothesized that anterior WMH volume would be associated with lower scores on the Short Physical Performance Battery (SPPB), a well-validated mobility scale associated with falls and mortality in the elderly. Methods: Participants in the Northern Manhattan Study MRI cohort had the SPPB measured a median of 5 years after enrollment. The SPPB has three domains with a maximum total score of 12: gait speed, chair stands, standing balance. Volumetric distributions for WMH volume across 14 brain regions (brainstem, cerebellum, and bilateral frontal, occipital, temporal, and parietal lobes, and bilateral anterior and posterior periventricular white matter) were determined separately for each hemisphere by combining bimodal image intensity distribution and atlas based methods. Multi-variable linear regression was performed to examine the association between SBI and total and regional (frontal, parietal, occipital, temporal, anterior, posterior, and brainstem) head size-corrected WMH volumes, with the total SPPB score; models were adjusted for cardiovascular disease risk factors, osteo-arthritis, and grip strength. Results: Among 668 stroke-free participants with the SPPB available, mean age at the time of assessment was 74 ±9 years, 37% were male and 70% Hispanic; the mean SPPB score was 8.2 ± 2.9, interquartile range 7-10. Mean total WMHV was 0.55±0.75cc, mean anterior WMH volume 0.18±0.24cc, and 12% of participants had SBI. In multi-variable models, total WMHV was associated with a lower SPPB (beta = -0.3 per SD of logWMH, p=0.004), while SBI was not (beta= -0.12, p=0.7). For regional WMH volumes, only greater anterior periventricular WMHV was associated with SPPB (beta= -0.29 per SD, p=0.009). Conclusions: White matter hyperintensities, especially in the anterior cerebral regions, are associated with a lower SPPB. Prevention of subclinical cerebrovascular disease is a potential target to prevent physical aging in the elderly.


2006 ◽  
Vol 111 (2) ◽  
pp. 150-157 ◽  
Author(s):  
Eszter Farkas ◽  
Rob A. I. de Vos ◽  
Gergely Donka ◽  
E. N. Jansen Steur ◽  
András Mihály ◽  
...  

1988 ◽  
Vol 8 (3) ◽  
pp. 433-435 ◽  
Author(s):  
A. Klinger ◽  
M. J. de Leon ◽  
A. E. George ◽  
J. D. Miller ◽  
A. P. Wolf

Young normal, elderly, and clinically diagnosed Alzheimer disease subjects who had undergone positron emission tomography (PET) and computed tomography (CT) examinations were studied to determine the effect of periventricular white matter lesions on cerebellar glucose metabolic rates. PET-determined cerebellar metabolic rates were elevated in subjects with periventricular white matter lesions. These results suggest the cautious use of cortical-to-cerebellar ratios in future PET or single-photonemission CT (SPECT) studies.


2018 ◽  
Vol 33 (13) ◽  
pp. 820-824 ◽  
Author(s):  
Leen Hijazi ◽  
Amna Kashgari ◽  
Majid Alfadhel

Multiple sulfatase deficiency is an autosomal recessive lysosomal storage disorder due to a deficiency in formylglycine-generating enzyme, which is encoded by the Sulfatase Modifying Factor 1 ( SUMF1) gene. Clinically, the disorder is variable. The most common characteristics are developmental regression, intellectual disability, ichthyosis, and periventricular white matter disease. Herein, we report 6 Saudi patients with multiple sulfatase deficiency caused by a novel homozygous missense mutation in the SUMF1 gene (NM_182760.3; c.785A>G [p.Gln262Arg]). The patients are 2 females and 4 males between 5 and 13 years of age, with an age of onset of 1 to 3 years. All patients are consanguineous and suffer from developmental regression, intellectual disability, ichthyosis, and periventricular white matter disease. This cohort differs from previous cohorts because of the absence of organomegaly and skeletal abnormalities.


2019 ◽  
Vol 9 (8) ◽  
pp. 193 ◽  
Author(s):  
Farzaneh A. Sorond ◽  
Philip B. Gorelick

Age-related brain white matter disease is a form of small vessel disease (SVD) that may be associated with lacunar and other small subcortical infarcts, cerebral microbleeds, and perivascular spaces. This common form of cerebrovascular disease may manifest clinically as cognitive impairment of varying degrees and difficulty with mobility. Whereas some persons show cognitive decline and mobility failure when there are brain white matter hyperintensities (WMH) and acute stroke, others recover, and not everyone with brain white matter disease is disabled. Thus, repair or compensation of brain white matter may be possible, and furthermore, certain vascular risks, such as raised blood pressure, are targets for prevention of white matter disease or are administered to reduce the burden of such disease. Vascular risk modification may be useful, but alone may not be sufficient to prevent white matter disease progression. In this chapter, we specifically focus on WMH of vascular origin and explore white matter development, plasticity, and enduring processes of myelination across the health span in the context of experimental and human data, and compare and contrast resilient brain white matter propensity to a diseased white matter state. We conclude with thoughts on novel ways one might study white matter resilience, and predict future healthy cognitive and functional outcomes.


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