F Arba1,2, D Inzitari1, M Ali2, S J Warach3, M Luby4, K R Lees5. 1. NEUROFARBA Department, University of Florence, Florence, Italy. 2. Institute of Cardiovascular and Medical Sciences, Queen Elizabeth University Hospital Glasgow, Glasgow, UK. 3. Department of Neurology, Dell Medical School, University of Texas at Austin, Austin, TX, USA. 4. National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health (NIH), Bethesda, MD, USA. 5. Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.
Abstract
INTRODUCTION: Cerebral small vessel disease (SVD) contributes to dementia and disability in the elderly, and may negatively affect stroke outcomes. We aimed to evaluate to what extent single features and global burden of SVD detected with magnetic resonance (MR) are associated with worse outcomes in patients with ischaemic stroke treated with intravenous thrombolysis. METHODS: We accessed anonymized data and MR images from the Stroke Imaging Repository (STIR) and the Virtual International Stroke Trials Archive (VISTA) Imaging. We described SVD features using validated scales and quantified the global burden of SVD with a combined score. Our mainoutcome was the modified Rankin Scale (mRS) at 90 days after stroke. We used logistic regression and ordinal regression models (adjusted for age, sex, stroke severity, onset to treatment time) to examine the associations between each SVD feature, SVD global burden and clinical outcomes. RESULTS: A total of 259 patients had MR scans available at baseline (mean age±SD=68.7±15.5 years; 131 [49%] males). After adjustment for confounders, severe white matter changes were associated with disability (OR=5.14; 95%CI=2.30-11.48), functional dependency (OR=4.38; 95%CI=2.10-9.13) and worse outcomes in ordinal analysis (OR=2.71; 95%CI=1.25-5.85). SVD score was associated with disability (OR=1.66; 95%CI=1.03-2.66) and functional dependency (OR=1.47; 95%CI=1.00-2.45). Lacunes, enlarged perivascular spaces and brain atrophy showed no association with clinical outcomes. CONCLUSION: Our results suggest that SVD negatively affects stroke outcomes after intravenous thrombolysis. Although white matter changes seem to be the major driver in relation to worse outcomes, global estimation of SVD is feasible and may provide helpful information.
INTRODUCTION:Cerebral small vessel disease (SVD) contributes to dementia and disability in the elderly, and may negatively affect stroke outcomes. We aimed to evaluate to what extent single features and global burden of SVD detected with magnetic resonance (MR) are associated with worse outcomes in patients with ischaemic stroke treated with intravenous thrombolysis. METHODS: We accessed anonymized data and MR images from the Stroke Imaging Repository (STIR) and the Virtual International Stroke Trials Archive (VISTA) Imaging. We described SVD features using validated scales and quantified the global burden of SVD with a combined score. Our mainoutcome was the modified Rankin Scale (mRS) at 90 days after stroke. We used logistic regression and ordinal regression models (adjusted for age, sex, stroke severity, onset to treatment time) to examine the associations between each SVD feature, SVD global burden and clinical outcomes. RESULTS: A total of 259 patients had MR scans available at baseline (mean age±SD=68.7±15.5 years; 131 [49%] males). After adjustment for confounders, severe white matter changes were associated with disability (OR=5.14; 95%CI=2.30-11.48), functional dependency (OR=4.38; 95%CI=2.10-9.13) and worse outcomes in ordinal analysis (OR=2.71; 95%CI=1.25-5.85). SVD score was associated with disability (OR=1.66; 95%CI=1.03-2.66) and functional dependency (OR=1.47; 95%CI=1.00-2.45). Lacunes, enlarged perivascular spaces and brain atrophy showed no association with clinical outcomes. CONCLUSION: Our results suggest that SVD negatively affects stroke outcomes after intravenous thrombolysis. Although white matter changes seem to be the major driver in relation to worse outcomes, global estimation of SVD is feasible and may provide helpful information.
Authors: Francesco Arba; Benedetta Piccardi; Vanessa Palumbo; Betti Giusti; Patrizia Nencini; Anna Maria Gori; Alice Sereni; Mascia Nesi; Giovanni Pracucci; Giorgio Bono; Paolo Bovi; Enrico Fainardi; Domenico Consoli; Antonia Nucera; Francesca Massaro; Giovanni Orlandi; Francesco Perini; Rossana Tassi; Maria Sessa; Danilo Toni; Rosanna Abbate; Domenico Inzitari Journal: Transl Stroke Res Date: 2018-04-23 Impact factor: 6.829
Authors: Isabel Charlotte Hostettler; David Seiffge; Andrew Wong; Gareth Ambler; Duncan Wilson; Clare Shakeshaft; Gargi Banerjee; Nikhil Sharma; Hans Rolf Jäger; Hannah Cohen; Tarek A Yousry; Rustam Al-Shahi Salman; Gregory Y H Lip; Martin M Brown; Keith Muir; Henry Houlden; David J Werring Journal: Neurology Date: 2022-07-08 Impact factor: 11.800
Authors: Francesco Arba; Richard Leigh; Domenico Inzitari; Steven J Warach; Marie Luby; Kennedy R Lees Journal: Neurology Date: 2017-10-25 Impact factor: 9.910