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Impact of leukoaraiosis on parenchymal hemorrhage in elderly patients treated with thrombolysis

  • Diagnostic Neuroradiology
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Abstract

Introduction

Severity of vascular damage of white matter may predict hemorrhagic transformation (HT). We assess the relationship between leukoaraiosis (LA) severity and the type of hemorrhagic transformation in elderly patients treated with thrombolysis.

Methods

We retrospectively analyzed the clinical data and pretreatment magnetic resonance imaging (MRI) of 180 consecutive ischemic stroke patients aged over 75 years. LA severity was graded according to the Fazekas scale, and acute diffusion-weighted-imaging (DWI) lesion volumes were semi-automatically outlined. Predictors of hemorrhagic infarction (HI) and parenchymal hemorrhage (PH) were identified using logistic regression analysis and exact multinomial logistic analysis.

Results

HT occurred in 31 patients (17 %). Baseline National Institute of Health Stroke Score (NIHSS; p = 0.008), severe LA (p = 0.02), and diffusion lesion volume (p = 0.02) were predictors of HT in univariable logistic regression. Adjusted to lesion volume and baseline NIHSS score, exact multinomial logistic analysis showed that severe LA was the only independent predictor of parenchymal hemorrhage (p = 0.03).

Conclusion

In elderly patients, LA severity better predicts parenchymal hemorrhage than infarct size.

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Abbreviations

LA:

Leukoaraiosis

WMH:

White matter hyperintensity

HT:

Hemorrhagic transformation

ICH:

Intracerebral hemorrhage

HI:

Hemorrhagic infarction

PH:

Parenchymal hemorrhage

NIHSS:

National Institute of Health Stroke Score

MRI:

Magnetic resonance imaging

SVD:

Small-vessel disease

CMBs:

Cerebral microbleeds

tPA:

Tissue plasminogen activator

References

  1. Bonita R, Anderson CS, Broad JB, Jamrozik KD, Stewart-Wynne EG, Anderson NE (1994) Stroke incidence and case fatality in Australasia. A comparison of the Auckland and Perth population-based stroke registers. Stroke 25:552–7

    Article  CAS  PubMed  Google Scholar 

  2. Marini C, Baldassarre M, Russo T, De Santis F, Sacco S, Ciancarelli I et al (2004) Burden of first-ever ischemic stroke in the oldest old: evidence from a population-based study. Neurology 62:77–81

    Article  CAS  PubMed  Google Scholar 

  3. Di Carlo A, Baldereschi M, Gandolfo C, Candelise L, Ghetti A, Maggi S et al (2003) Stroke in an elderly population: incidence and impact on survival and daily function. Italian Longitudinal Study on Aging. Cerebrovasc Dis 16:141–50

    Article  PubMed  Google Scholar 

  4. Derex L, Nighoghossian N (2009) Thrombolysis, stroke-unit admission and early rehabilitation in elderly patients. Nat Rev Neurol 5:506–11

    Article  PubMed  Google Scholar 

  5. Mishra NK, Ahmed N, Andersen G, Egido JA, Lindsberg PJ, Ringleb PA et al (2010) Thrombolysis in very elderly people: controlled comparison of SITS International Stroke Thrombolysis Registry and Virtual International Stroke Trials Archive. BMJ 23:341–c604

    Google Scholar 

  6. Emberson J, Lees KR, Lyden P, Blackwell L, Albers G, Bluhmki E et al (2014) Effect of treatment delay, age, and stroke severity on the effects of intravenous thrombolysis with alteplase for acute ischaemic stroke: a meta-analysis of individual patient data from randomised trials. Lancet 384(9958):1929–35

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. IST-3 collaborative group (2015) Association between brain imaging signs, early and late outcomes, and response to intravenous alteplase after acute ischaemic stroke in the third International Stroke Trial (IST-3): secondary analysis of a randomised controlled trial. Lancet Neurol 14(5):485–96

    Article  Google Scholar 

  8. Ringleb PA, Schwark C, Kohrmann M, Kulkens S, Juttler E, Hacke W et al (2007) Thrombolytic therapy for acute ischaemic stroke in octogenarians: selection by magnetic resonance imaging improves safety but does not improve outcome. J Neurol Neurosurg Psychiatry 78:690–3

    Article  CAS  PubMed  Google Scholar 

  9. Singer OC, Humpich MC, Fiehler J, Albers GW, Lansberg MG, Kastrup A, for the MR Stroke Study Group Investigators et al (2008) Risk for symptomatic intracerebral hemorrhage after thrombolysis assessed by diffusion-weighted magnetic resonance imaging. Ann Neurol 63:52–60

    Article  PubMed  Google Scholar 

  10. Lansberg MG, Thijs VN, Bammer R, Kemp S, Wijman CA, Marks MP et al (2007) DEFUSE Investigators. Risk factors of symptomatic intracerebral hemorrhage after tPA therapy for acute stroke. Stroke 38:2275–2278

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Jung S, Mono ML, Findling O, Fischer U, Galimanis A, Weck A et al (2012) White matter lesions and intra-arterial thrombolysis. J Neurol 7:1331–6

    Article  Google Scholar 

  12. Neumann-Haefelin T, Hoelig S, Berkefeld J, Fiehler J, Gass A, Humpich M et al (2006) Leukoaraiosis is a risk factor for symptomatic intracerebral hemorrhage after thrombolysis for acute stroke. Stroke 37:2463–2466

    Article  PubMed  Google Scholar 

  13. Arsava EM, Rahman R, Rosand J, Lu J, Smith EE, Rost NS et al (2014) Severity of leukoaraiosis correlates with clinical outcome after ischemic stroke. Neurology 72:1403–1410

    Article  Google Scholar 

  14. Henninger N, Lin E, Baker SP, Wakhloo AK, Takhtani D, Moonis M (2012) Leukoaraiosis predicts poor 90-day outcome after acute large cerebral artery occlusion. Cerebrovasc Dis 33:525–531.15

    Article  PubMed  Google Scholar 

  15. Pantoni L (2010) Cerebral small vessel disease: from pathogenesis and clinical characteristics to therapeutic challenges. Lancet Neurol 9:689–701

    Article  PubMed  Google Scholar 

  16. Fiehler J, Albers GW, Boulanger JM, Derex L, Gass A, Hjort N, Group MRSTROKE et al (2007) Bleeding Risk Analysis in Stroke Imaging before ThromboLysis (BRASIL): pooled analysis of T 2 *-weighted magnetic resonance imaging data from 570 patients. Stroke 38:2738–2744

    Article  PubMed  Google Scholar 

  17. Dannenberg S, Scheitz JF, Rozanski M, Erdur H, Brunecker P, Werring DJ et al (2014) Number of cerebral microbleeds and risk of intracerebral hemorrhage after intravenous thrombolysis. Stroke 10:2900–5

    Article  Google Scholar 

  18. Gratz PP, El-Koussy M, Hsieh K, von Arx S, Mono ML, Heldner MR (2014) Preexisting cerebral microbleeds on susceptibility-weighted magnetic resonance imaging and post-thrombolysis bleeding risk in 392 patients. Stroke 6:1684–8

    Article  Google Scholar 

  19. Curtze S, Melkas S, Sibolt G, Haapaniemi E, Mustanoja S, Putaala J et al (2015) Cerebral computed tomography-graded white matter lesions are associated with worse outcome after thrombolysis in patients with stroke. Stroke 6:1554–60

    Article  Google Scholar 

  20. Curtze S, Haapaniemi E, Melkas S, Mustanoja S, Putaala J, Sairanen T et al (2015) White matter lesions double the risk of post-thrombolytic intracerebral hemorrhage. Stroke 8:2149–55

    Article  Google Scholar 

  21. Adams HP Jr, Bendixen BH, Kappelle LJ, Biller J, Love BB, Gordon DL et al (1993) Classification of subtype of acute ischemic stroke. Definitions for use in a multicenter clinical trial. TOAST. Trial of Org 10172 in Acute Stroke Treatment. Stroke 24:35–41

    Article  PubMed  Google Scholar 

  22. Wardlaw JM, Smith EE, Biessels GJ, Cordonnier C, Fazekas F, Frayne R et al (2013) Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration. Lancet Neurol 8:822–38

    Article  Google Scholar 

  23. Hacke W, Kaste M, Fieschi C, von Kummer R, Davalos A, Meier D et al (1998) Randomised double-blind placebo-controlled trial of thrombolytic therapy with intravenous alteplase in acute ischaemic stroke (ECASS II). Second European-Australasian Acute Stroke Study Investigators. Lancet 352:1245–1251

    Article  CAS  PubMed  Google Scholar 

  24. Hirji KF, Mehta CR, Patel NR (1987) Computing distributions for exact logistic regression. J Am Stat Assoc 82:1110–1117

    Article  Google Scholar 

  25. Kaffashian S, Tzourio C, Zhu YC, Mazoyer B, Debette S (2016) Differential effect of white-matter lesions and covert brain infarcts on the risk of ischemic stroke and intracerebral hemorrhage. Stroke 47(7):1923–1925

  26. Whiteley WN, Slot KB, Fernandes P, Sandercock P, Wardlaw J (2012) Risk factors for intracranial hemorrhage in acute ischemic stroke patients treated with recombinant tissue plasminogen activator: a systematic review and meta-analysis of 55 studies. Stroke 43(11):2904–9.2

    Article  CAS  PubMed  Google Scholar 

  27. Derex L, Hermier M, Adeleine P, Pialat JB, Wiart M, Berthezène Y et al (2005) Clinical and imaging predictors of intracerebral haemorrhage in stroke patients treated with intravenous tissue plasminogen activator. J Neurol Neurosurg Psychiatry 1:70–5

    Article  Google Scholar 

  28. Kahles T, Foerch C, Sitzer M, Schroeter M, Steinmetz H, Rami A et al (2005) Tissue plasminogen activator mediated blood–brain barrier damage in transient focal cerebral ischemia in rats: relevance of interactions between thrombotic material and thrombolytic agent. Vasc Pharmacol 43:254–259

    Article  CAS  Google Scholar 

  29. Albers GW, Thijs VN, Wechsler L, for the DEFUSE Investigators et al (2006) Magnetic resonance imaging profiles predict clinical response to early reperfusion: the Diffusion and Perfusion Imaging Evaluation For Understanding Stroke Evolution (DEFUSE) study. Ann Neurol 60:508–517

    Article  PubMed  Google Scholar 

  30. Henninger N, LinE HDC, LehmanLL TD, Selim M et al (2013) Leukoaraiosis and sex predict the hyperacute ischemic core volume. Stroke 44:61–67

    Article  PubMed  Google Scholar 

  31. Bivard A, Cheng X, Lin LT, Levi C, Spratt N, Kleinig T, O’Brien B, Butcher K et al (2016) Global white matter hypoperfusion on CT predicts larger infarcts and hemorrhagic transformation after acute ischemia. CNS Neurosci Ther 22(3):238–43

    Article  PubMed  Google Scholar 

  32. Shoamanesh A, Kwok CS, Lim PA, Benavente OR (2013) Post-thrombolysis intracranial hemorrhage risk of cerebral microbleeds in acute stroke patients: a systematic review and meta-analysis. Int J Stroke 5:348–56

    Article  Google Scholar 

  33. Charidimou A, Shoamanesh A, Wilson D, Gang Q, Fox Z, Jäger HR, Benavente OR, Werring DJ (2015) Cerebral micro bleeds and postthrombolysis intracerebral hemorrhage risk: updated meta-analysis. Neurology 11:927–4

    Article  Google Scholar 

  34. Tsivgoulis G, Zand R, Katsanos AH, Turc G, Nolte CH, Jung S et al (2016) Risk of symptomatic intracerebral hemorrhage after intravenous thrombolysis in patients with acute ischemic stroke and high cerebral microbleed burden: a meta-analysis. JAMA Neurol 73(6):675–83

    Article  PubMed  Google Scholar 

  35. Seet RC, Rabinstein AA (2012) Symptomatic intracranial hemorrhage following intravenous thrombolysis for acute ischemic stroke: a critical review of case definitions. Cerebrovasc Dis 2:106–14

    Article  Google Scholar 

  36. Nogueira RC, Bor-Seng-Shu E, Saeed NP, Teixeira MJ, Panerai RB, Robinson TG (2016) Meta-analysis of vascular imaging features to predict outcome following intravenous rtPA for acute ischemic stroke. Front Neurol 7:77

    Article  PubMed  PubMed Central  Google Scholar 

  37. Goyal M, Menon BK, van Zwam WH, Dippel DW, Mitchell PJ, Demchuk AM et al (2016) Endovascular thrombectomy after large vessel ischaemic stroke: a meta-analysis of individual patient data from five randomized trials. Lancet 387(10029):1723–31

    Article  PubMed  Google Scholar 

  38. Shi ZS, Loh Y, Liebeskind DS, Saver JL, Gonzalez NR, Tateshima S, Jahan R, Feng L, Vespa PM, Starkman S et al (2012) Leukoaraiosis predicts parenchymal hematoma after mechanical thrombectomy in acute ischemic stroke. Stroke 43(7):1806–11

    Article  PubMed  PubMed Central  Google Scholar 

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Correspondence to Yves Berthezene.

Ethics declarations

We declare that all human studies have been approved [data from a regional emergency stroke network health registry in the Rhône Valley, France—RESUVAL Stroke Network—with 5 stroke units (one academic stroke unit and 4 non-academic stroke units), covering a population of 3 million people authorized by the French Ministry of Healthcare, Registration number E-2012-069] and have therefore been performed in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki and its later amendments. We declare that all patients gave informed consent prior to inclusion in this study.

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We declare that we have no conflict of interest.

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Nighoghossian, N., Abbas, F., Cho, TH. et al. Impact of leukoaraiosis on parenchymal hemorrhage in elderly patients treated with thrombolysis. Neuroradiology 58, 961–967 (2016). https://doi.org/10.1007/s00234-016-1725-7

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  • DOI: https://doi.org/10.1007/s00234-016-1725-7

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