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December 6, 2025Stroke Vascular and Interventional Neurology3 citationsOpen Access

Abstract 414: Association of atrophy, lacunes, and white matter hyperintensities with outcomes after thrombectomy: A Bayesian analysis

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ABA. K. BonkhoffEBEarl BogdanoffPKP. Krieger

Key Points

  • Lacunes independently associate with 90-day poor outcomes, indicating their significance in recovery.
  • Multivariable Bayesian logistic regression analysis assesses the impact of CSVD markers on outcomes.
  • Findings suggest a need for refined prognostic stratification based on markers like brain atrophy and WMH.
  • Further exploration is warranted to understand the microvascular vulnerability related to ischemic tissue.

Abstract

Introduction/Purpose Cerebral small vessel disease (CSVD) markers, including brain atrophy, lacunes, and white matter hyperintensities (WMH), are common in patients with ischemic stroke and may influence recovery after mechanical thrombectomy (MT). Their independent association with post‐MT outcomes remains controversial. We sought to evaluate whether CSVD markers assessed on sensitive pre‐treatment MRI are associated with 90‐day poor outcomes (modified Rankin scale mRS 3‐6), post‐MT parenchymal hematoma (PH), and symptomatic intracerebral hemorrhage (SICH). Materials/Methods We conducted a retrospective multicenter, multinational study of consecutive patients with anterior circulation large vessel occlusion who underwent MT and had pre‐treatment MRI. Brain atrophy was graded using the Pasquier scale, WMH using the Fazekas scale, and lacunes were rated as absent or present according to STRIVE‐2 criteria. The primary outcome was poor outcomes at 90 days. Secondary outcomes included ipsilateral PH and SICH during the acute hospitalization. Associations were assessed using multivariable Bayesian logistic regression, adjusting for age, sex, baseline mRS, acute infarct volume, intravenous thrombolysis, symptom onset time, and mTICI 2b‐3 successful reperfusion. Results are presented as Bayesian odds ratios (ORs) with 95% credible intervals (CrIs) and posterior probabilities of association (PrOR>1). Results Among 479 patients (median age 72 years IQR, 59‐80; 46% female; 50% received intravenous thrombolysis; 83% achieved successful reperfusion), lacunes were independently associated with poor outcomes (OR=1.87, 95%CrI=1.26‐3.10, PrOR>1=0.99). Brain atrophy (OR=1.80, 95%CrI=1.00‐3.26, PrOR>1=0.99) and moderate‐to‐severe WMH (OR=1.77, 95%CrI=1.01‐3.13, PrOR>1=0.98) were also associated with higher probabilities of poor outcomes (Table 1). With regard to hemorrhagic transformation, WMH showed posterior probabilities suggestive of associations with PH (OR=1.83, 95%CrI=0.81‐4.17, PrOR>1=0.93) and with SICH (OR=2.61, 95%CrI=0.72‐9.85, PrOR>1=0.93). Atrophy (PH: OR=0.49, 95%CrI=0.21‐1.18, PrOR>1=0.08; SICH: OR=0.81, 95%CrI=0.23‐3.02, PrOR>1=0.38) and lacunes (PH: OR=0.95, 95%CrI=0.45‐1.71, PrOR>1=0.45; SICH: OR=1.15, 95%CrI=0.34‐3.90, PrOR>1=0.52) did not appear to be associated with PH or SICH, with posterior probabilities close to 0.5 and wide CrIs. Conclusion In a large dataset of patients with pre‐MT MRI, lacunes were independently associated with 90‐day poor outcomes; atrophy and WMH were also associated with high posterior probabilities of worse functional outcomes. Furthermore, WMH showed suggestive links to PH and SICH. These SVD markers are not contraindications to thrombectomy, but may refine prognostic stratification to guide clinical counseling and warrant further exploration in future studies to understand microvascular vulnerability of ischemic tissue. image

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Bonkhoff et al. (2025) studied this question.

synapsesocial.com/papers/69337ce8b3f947a0a125a1d9https://doi.org/10.1161/svi270000_414
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Abstract DP035: White Matter Hyperintensities Are Associated with Worse Outcomes but Not Greater Cerebral Edema or Hemorrhagic Transformation After Large Vessel Occlusion Stroke2026
  2. 2Artificial intelligence algorithms to detect cerebral small vessel disease tomography markers and their association with clinical outcomes in patients with acute ischemic stroke undergone thrombectomy2024
  3. 3Abstract 415: Pre‐Treatment Hemorrhagic Infarct Is Associated with Worse Outcome After Mechanical Thrombectomy: A Multicenter Bayesian Analysis2025 · 3 citations
  4. 4Abstract WP236: Impact of Cerebral Small Vessel Disease on Outcomes After Acute Intracerebral Hemorrhage2026
  5. 5Composite small vessel disease scores predict hemorrhagic transformation after thrombectomy: a machine learning study2026 · 1 citations