Modified diffusion-weighted imaging-Alberta Stroke Program Early Computed Tomography Score including deep white matter lesions predicts symptomatic intracerebral hemorrhage following intravenous thrombolysis.


Journal

Journal of thrombosis and thrombolysis
ISSN: 1573-742X
Titre abrégé: J Thromb Thrombolysis
Pays: Netherlands
ID NLM: 9502018

Informations de publication

Date de publication:
Jul 2020
Historique:
pubmed: 21 11 2019
medline: 10 4 2021
entrez: 21 11 2019
Statut: ppublish

Résumé

The Alberta Stroke Program Early Computed Tomography Score (ASPECTS) is widely used for the assessment of early ischemic changes (EICs) before thrombolysis. However, for symptomatic intracerebral hemorrhage (sICH) following intravenous recombinant tissue plasminogen activator (rt-PA), the prediction abilities of CT-ASPECTS, diffusion-weighted imaging (DWI)-ASPECTS, and DWI-ASPECTS including EICs in deep white matter (DWI-ASPECTS + W) are unclear. We investigated associations between each score and sICH following intravenous rt-PA. Data from consecutive patients who received intravenous rt-PA for acute ischemic stroke from 2005 to 2015 in four hospitals were retrospectively screened. We included data from patients who had undergone both CT and magnetic resonance imaging before thrombolysis and without evidence of posterior circulation stroke. We analyzed the ability of CT-ASPECTS, DWI-ASPECTS, and DWI-ASPECTS + W to predict sICH, accompanied by an increase in the National Institutes of Health Stroke Scale (NIHSS) score of ≥ 4 within the initial 36 h. Of 455 patients (273 men, median 75 years old), sICH occurred in 15 patients (3.3%). Receiver operating characteristics curve analysis showed that the optimal cut-offs of CT-ASPECTS, DWI-ASPECTS, and DWI-ASPECTS + W for predicting sICH were ≤ 9 (sensitivity 60.0%, specificity 59.8%, c-statistic 0.625), ≤ 6 (sensitivity 53.3%, specificity 80.9%, c-statistic 0.718), and ≤ 8 (sensitivity 86.7%, specificity 55.9%, c-statistic 0.756), respectively. A DWI-ASPECTS + W of ≤ 8 was independently associated with sICH (odds ratio 5.21, 95% confidence interval 1.30-35.31) after adjustment for pretreatment with antithrombotic agents, pretreatment NIHSS score, and large artery occlusions. DWI-ASPECTS + W predicted sICH in patients with acute anterior circulation stroke receiving intravenous rt-PA.

Identifiants

pubmed: 31745858
doi: 10.1007/s11239-019-01979-7
pii: 10.1007/s11239-019-01979-7
pmc: PMC7293975
doi:

Substances chimiques

Fibrinolytic Agents 0
Tissue Plasminogen Activator EC 3.4.21.68

Types de publication

Journal Article Multicenter Study Observational Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

174-180

Subventions

Organisme : Japan Society for the Promotion of Science
ID : 19K21303
Organisme : Japan Society for the Promotion of Science
ID : 16K10727

Références

National Institute of Neurological Disorders and Stroke rt-PA Stroke Study Group (1995) Tissue plasminogen activator for acute ischemic stroke. N Engl J Med 333:1581–1587
doi: 10.1056/NEJM199512143332401
Wahlgren N, Ahmed N, Dávalos A et al (2007) Thrombolysis with alteplase for acute ischaemic stroke in the Safe Implementation of Thrombolysis in Stroke-Monitoring Study (SITS-MOST): an observational study. Lancet 369:275–282
doi: 10.1016/S0140-6736(07)60149-4
Strbian D, Sairanen T, Meretoja A et al (2011) Patient outcomes from symptomatic intracerebral hemorrhage after stroke thrombolysis. Neurology 77:341–348
doi: 10.1212/WNL.0b013e3182267b8c
Hacke W, Kaste M, Fieschi C et al (1995) Intravenous thrombolysis with recombinant tissue plasminogen activator for acute hemispheric stroke. The European Cooperative Acute Stroke Study (ECASS). JAMA 274:1017–1025
doi: 10.1001/jama.1995.03530130023023
Moulin T, Cattin F, Crépin-Leblond T et al (1996) Early CT signs in acute middle cerebral artery infarction: predictive value for subsequent infarct locations and outcome. Neurology 47:366–375
doi: 10.1212/WNL.47.2.366
Nighoghossian N, Hermier M, Adeleine P et al (2003) Baseline magnetic resonance imaging parameters and stroke outcome in patients treated by intravenous tissue plasminogen activator. Stroke 34:458–463
doi: 10.1161/01.STR.0000053850.64877.AF
Barber PA, Demchuk AM, Zhang J et al (2000) Validity and reliability of a quantitative computed tomography score in predicting outcome of hyperacute stroke before thrombolytic therapy: ASPECTS Study Group Alberta Stroke Programme Early CT Score. Lancet 355:1670–1674
doi: 10.1016/S0140-6736(00)02237-6
Schröder J, Thomalla G (2017) A critical review of Alberta Stroke Program Early CT Score for evaluation of acute stroke imaging. Front Neurol 7:245
doi: 10.3389/fneur.2016.00245
Fiebach JB, Schellinger PD, Jansen O et al (2002) CT and diffusion-weighted MR imaging in randomized order: diffusion-weighted imaging results in higher accuracy and lower interrater variability in the diagnosis of hyperacute ischemic stroke. Stroke 33:2206–2210
doi: 10.1161/01.STR.0000026864.20339.CB
Singer OC, Kurre W, Humpich MC et al (2009) Risk assessment of symptomatic intracerebral hemorrhage after thrombolysis using DWI-ASPECTS. Stroke 40:2743–2748
doi: 10.1161/STROKEAHA.109.550111
Nezu T, Koga M, Nakagawara J et al (2011) Early ischemic change on CT versus diffusion-weighted imaging for patients with stroke receiving intravenous recombinant tissue-type plasminogen activator therapy: Stroke Acute Management with Urgent Risk-Factor Assessment and Improvement (SAMURAI) rt-PA Registry. Stroke 42:2196–2200
doi: 10.1161/STROKEAHA.111.614404
Mitomi M, Kimura K, Aoki J et al (2014) Comparison of CT and DWI findings in ischemic stroke patients within 3 hours of onset. J Stroke Cerebrovasc Dis 23:37–42
doi: 10.1016/j.jstrokecerebrovasdis.2012.08.014
McTaggart RA, Jovin TG, Lansberg MG et al (2015) Alberta Stroke Program early computed tomographic scoring performance in a series of patients undergoing computed tomography and MRI: reader agreement, modality agreement, and outcome prediction. Stroke 46:407–412
doi: 10.1161/STROKEAHA.114.006564
Nezu T, Koga M, Kimura K et al (2010) Pretreatment ASPECTS on DWI predicts 3-month outcome following rt-PA: SAMURAI rt-PA Registry. Neurology 75:555–561
doi: 10.1212/WNL.0b013e3181eccf78
Kawano H, Hirano T, Nakajima M et al (2012) Modified ASPECTS for DWI including deep white matter lesions predicts subsequent intracranial hemorrhage. J Neurol 259:2045–2052
doi: 10.1007/s00415-012-6446-1
Tanaka K, Matsumoto S, Yamada S et al (2019) Temporal trends in clinical characteristics and door-to-needle time in patients receiving intravenous tissue plasminogen activator: a retrospective study of four hospitals in Japan. J Stroke Cerebrovasc Dis 28:104305
Minematsu K, Toyoda K, Hirano T et al (2013) Guidelines for the intravenous application of recombinant tissue-type plasminogen activator (alteplase), the second edition, October 2012: a guideline from the Japan Stroke Society. J Stroke Cerebrovasc Dis 22:571–600
doi: 10.1016/j.jstrokecerebrovasdis.2013.04.001
Kawano H, Hirano T, Inatomi Y et al (2010) Presence of deep white matter lesions on diffusion-weighted imaging is a negative predictor of early dramatic improvement after intravenous tissue plasminogen activator thrombolysis. Cerebrovasc Dis 30:230–236
doi: 10.1159/000317183
DeLong ER, DeLong DM, Clarke-Pearson DL (1988) Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 44:837–845
doi: 10.2307/2531595
Barber PA, Hill MD, Eliasziw M et al (2005) Imaging of the brain in acute ischaemic stroke: comparison of computed tomography and magnetic resonance diffusion-weighted imaging. J Neurol Neurosurg Psychiatry 76:1528–1533
doi: 10.1136/jnnp.2004.059261
Kosior RK, Lauzon ML, Steffenhagen N et al (2010) Atlas-based topographical scoring for magnetic resonance imaging of acute stroke. Stroke 41:455–460
doi: 10.1161/STROKEAHA.109.567289
Sharma VK, Wong LK (2016) Middle cerebral artery disease. In: Grotta JC, Albers GW, Broderick JP et al (eds) Stroke: pathophysiology, diagnosis, and management, 6th edn. Elsevier, Philadelphia, pp 362–392
doi: 10.1016/B978-0-323-29544-4.00024-4
Bristow MS, Simon JE, Brown RA et al (2005) MR perfusion and diffusion in acute ischemic stroke: human gray and white matter have different thresholds for infarction. J Cereb Blood Flow Metab 25:1280–1287
doi: 10.1038/sj.jcbfm.9600135
Arakawa S, Wright PM, Koga M et al (2006) Ischemic thresholds for gray and white matter: a diffusion and perfusion magnetic resonance study. Stroke 37:1211–1216
doi: 10.1161/01.STR.0000217258.63925.6b
Chen C, Bivard A, Lin L et al (2019) Thresholds for infarction vary between gray matter and white matter in acute ischemic stroke: a CT perfusion study. J Cereb Blood Flow Metab 39:536–546
doi: 10.1177/0271678X17744453
Powers WJ, Rabinstein AA, Ackerson T et al (2018) 2018 Guidelines for the early management of patients with acute ischemic stroke: a guideline for healthcare professionals from the American Heart Association/American Stroke Association. Stroke 49:e46–e110
doi: 10.1161/STR.0000000000000158

Auteurs

Koji Tanaka (K)

Department of Neurology, Neurological Institute, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan. tkouji@neuro.med.kyushu-u.ac.jp.

Shoji Matsumoto (S)

Department of Neurology, Kokura Memorial Hospital, Kitakyushu, Japan.
Department of Comprehensive Strokology, Fujita Health University School of Medicine, Toyoake, Japan.

Konosuke Furuta (K)

Department of Neurology, Kokura Memorial Hospital, Kitakyushu, Japan.

Takeshi Yamada (T)

Department of Neurology, Saiseikai Fukuoka General Hospital, Fukuoka, Japan.

Sukehisa Nagano (S)

Department of Neurology, Fukuoka City Hospital, Fukuoka, Japan.

Kei-Ichiro Takase (KI)

Department of Neurology, Iizuka Hospital, Iizuka, Japan.

Taketo Hatano (T)

Department of Neurosurgery, Kokura Memorial Hospital, Kitakyushu, Japan.

Ryo Yamasaki (R)

Department of Neurology, Neurological Institute, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.

Jun-Ichi Kira (JI)

Department of Neurology, Neurological Institute, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH