Literature DB >> 21248275

Postthrombolysis hemorrhage risk is affected by stroke assessment bias between hemispheres.

H J Audebert1, O C Singer, B Gotzler, B Vatankhah, S Boy, J Fiehler, M G Lansberg, G W Albers, A Kastrup, A Rovira, A Gass, C Rosso, L Derex, J S Kim, P Heuschmann.   

Abstract

OBJECTIVE: Stroke symptoms in right hemispheric stroke tend to be underestimated in clinical assessment scales, resulting in greater infarct volumes in right as compared to left hemispheric strokes despite similar clinical stroke severity. We hypothesized that patients with right hemispheric nonlacunar stroke are at higher risk for secondary intracerebral hemorrhage after thrombolysis despite similar stroke severity.
METHODS: We analyzed data of 2 stroke cohorts with CT-based and MRI-based imaging before thrombolysis. Initial stroke severity was measured with the NIH Stroke Scale (NIHSS). Lacunar strokes were excluded through either the presence of cortical symptoms (CT cohort) or restriction to patients with prestroke diffusion-weighted imaging (DWI) lesion size >3.75 mL (MRI cohort). Probabilities of having a parenchymal hematoma were determined using multivariate logistic regression.
RESULTS: A total of 392 patients in the CT cohort and 400 patients in the MRI cohort were evaluated. Although NIHSS scores were similar in strokes of both hemispheres (median NIHSS: CT: 15 vs 13, MRI: 14 vs 16), the frequencies of parenchymal hematoma were higher in right hemispheric compared to left hemispheric strokes (CT: 12.4% vs 5.7%, MRI: 10.4% vs 6.8%). After adjustment for potential confounders (but not pretreatment lesion volume), the probability of parenchymal hematoma was higher in right hemispheric nonlacunar strokes (CT: odds ratio [OR] 2.3; 95% confidence interval [CI] 1.08-4.89; p = 0.032) and showed a borderline significant effect in the MRI cohort (OR 2.1; 95% CI 0.98-4.49; p = 0.057). Adjustment for pretreatment DWI lesion size eliminated hemispheric differences in hemorrhage risk.
CONCLUSIONS: Higher hemorrhage rates in right hemispheric nonlacunar strokes despite similar stroke severity may be caused by clinical underestimation of the proportion of tissue at bleeding risk.

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Year:  2011        PMID: 21248275      PMCID: PMC3053338          DOI: 10.1212/WNL.0b013e31820ce505

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  25 in total

1.  Acute treatment of ischaemic stroke. European Stroke Initiative.

Authors:  Danilo Toni; Angel Chamorro; Markku Kaste; Kennedy Lees; Nils Gunnar Wahlgren; Werner Hacke
Journal:  Cerebrovasc Dis       Date:  2004       Impact factor: 2.762

2.  Does the National Institutes of Health Stroke Scale favor left hemisphere strokes? NINDS t-PA Stroke Study Group.

Authors:  D Woo; J P Broderick; R U Kothari; M Lu; T Brott; P D Lyden; J R Marler; J C Grotta
Journal:  Stroke       Date:  1999-11       Impact factor: 7.914

3.  Measurements of acute cerebral infarction: a clinical examination scale.

Authors:  T Brott; H P Adams; C P Olinger; J R Marler; W G Barsan; J Biller; J Spilker; R Holleran; R Eberle; V Hertzberg
Journal:  Stroke       Date:  1989-07       Impact factor: 7.914

4.  Interrater reliability of the NIH stroke scale.

Authors:  L B Goldstein; C Bertels; J N Davis
Journal:  Arch Neurol       Date:  1989-06

5.  Baseline NIH Stroke Scale score strongly predicts outcome after stroke: A report of the Trial of Org 10172 in Acute Stroke Treatment (TOAST).

Authors:  H P Adams; P H Davis; E C Leira; K C Chang; B H Bendixen; W R Clarke; R F Woolson; M D Hansen
Journal:  Neurology       Date:  1999-07-13       Impact factor: 9.910

6.  Is the association of National Institutes of Health Stroke Scale scores and acute magnetic resonance imaging stroke volume equal for patients with right- and left-hemisphere ischemic stroke?

Authors:  John N Fink; Magdy H Selim; Sandeep Kumar; Brian Silver; Italo Linfante; Louis R Caplan; Gottfried Schlaug
Journal:  Stroke       Date:  2002-04       Impact factor: 7.914

7.  Tissue plasminogen activator for acute ischemic stroke.

Authors: 
Journal:  N Engl J Med       Date:  1995-12-14       Impact factor: 91.245

8.  Improved reliability of the NIH Stroke Scale using video training. NINDS TPA Stroke Study Group.

Authors:  P Lyden; T Brott; B Tilley; K M Welch; E J Mascha; S Levine; E C Haley; J Grotta; J Marler
Journal:  Stroke       Date:  1994-11       Impact factor: 7.914

9.  Association of outcome with early stroke treatment: pooled analysis of ATLANTIS, ECASS, and NINDS rt-PA stroke trials.

Authors:  Werner Hacke; Geoffrey Donnan; Cesare Fieschi; Markku Kaste; Rüdiger von Kummer; Joseph P Broderick; Thomas Brott; Michael Frankel; James C Grotta; E Clarke Haley; Thomas Kwiatkowski; Steven R Levine; Chris Lewandowski; Mei Lu; Patrick Lyden; John R Marler; Suresh Patel; Barbara C Tilley; Gregory Albers; Erich Bluhmki; Manfred Wilhelm; Scott Hamilton
Journal:  Lancet       Date:  2004-03-06       Impact factor: 79.321

10.  Predictors of hemorrhagic transformation after intravenous recombinant tissue plasminogen activator: prognostic value of the initial apparent diffusion coefficient and diffusion-weighted lesion volume.

Authors:  Magdy Selim; John N Fink; Sandeep Kumar; Louis R Caplan; Clare Horkan; Yi Chen; Italo Linfante; Gottfried Schlaug
Journal:  Stroke       Date:  2002-08       Impact factor: 7.914

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  2 in total

1.  The Association between Diffusion MRI-Defined Infarct Volume and NIHSS Score in Patients with Minor Acute Stroke.

Authors:  Shadi Yaghi; Charlotte Herber; Amelia K Boehme; Howard Andrews; Joshua Z Willey; Sara K Rostanski; Matthew Siket; Mahesh V Jayaraman; Ryan A McTaggart; Karen L Furie; Randolph S Marshall; Ronald M Lazar; Bernadette Boden-Albala
Journal:  J Neuroimaging       Date:  2017-01-09       Impact factor: 2.486

2.  Oxfordshire Community Stroke Project classification improves prediction of post-thrombolysis symptomatic intracerebral hemorrhage.

Authors:  Sheng-Feng Sung; Solomon Chih-Cheng Chen; Huey-Juan Lin; Chih-Hung Chen; Mei-Chiun Tseng; Chi-Shun Wu; Yung-Chu Hsu; Ling-Chien Hung; Yu-Wei Chen
Journal:  BMC Neurol       Date:  2014-03-01       Impact factor: 2.474

  2 in total

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