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Discrepancy between post-treatment infarct volume and 90-day outcome in the ESCAPE randomized controlled trial

  • Aravind Ganesh*
  • , Bijoy K. Menon
  • , Zarina A. Assis
  • , Andrew M. Demchuk
  • , Fahad S. Al-Ajlan
  • , Mohammed A. Al-Mekhlafi
  • , Jeremy L. Rempel
  • , Ashfaq Shuaib
  • , Blaise W. Baxter
  • , Thomas Devlin
  • , John Thornton
  • , David Williams
  • , Alexandre Y. Poppe
  • , Daniel Roy
  • , Timo Krings
  • , Leanne K. Casaubon
  • , Nima Kashani
  • , Michael D. Hill
  • , Mayank Goyal
  • *Autor correspondiente de este trabajo
  • University of Calgary
  • King Faisal Specialist Hospital and Research Centre
  • University of Alberta
  • University of Tennessee, Knoxville
  • Royal College of Surgeons in Ireland
  • Centre Hospitalier de L'Universite de Montreal
  • Toronto Western Hospital University of Toronto

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

25 Citas (Scopus)

Resumen

Background: Some patients with ischemic stroke have poor outcomes despite small infarcts after endovascular thrombectomy, while others with large infarcts sometimes fare better. Aims: We explored factors associated with such discrepancies between post-treatment infarct volume (PIV) and functional outcome. Methods: We identified patients with small PIV (volume ≤ 25th percentile) and large PIV (volume ≥ 75th percentile) on 24–48-h CT/MRI in the ESCAPE randomized-controlled trial. Demographics, comorbidities, baseline, and 24–48-h stroke severity (NIHSS), stroke location, treatment type, post-stroke complications, and other outcome scales like Barthel Index, and EQ-5D were compared between “discrepant cases” – those with 90-day modified Rankin Scale(mRS) ≤ 2 despite large PIV or mRS ≥ 3 despite small PIV – and “non-discrepant cases”. Multi-variable logistic regression was used to identify pre-treatment and post-treatment factors associated with small-PIV/mRS ≥ 3 and large-PIV/mRS ≤ 2. Sensitivity analyses used different definitions of small/large PIV and good/poor outcome. Results: Among 315 patients, median PIV was 21 mL; 27/79 (34.2%) patients with PIV ≤ 7 mL (25th percentile) had mRS ≥ 3; 12/80 (15.0%) with PIV ≥ 72 mL (75th percentile) had mRS ≤ 2. Discrepant cases did not differ by CT versus MRI-based PIV ascertainment, or right versus left-hemisphere involvement (p = 0.39, p = 0.81, respectively, for PIV ≤ 7 mL/mRS ≥ 3). Pre-treatment factors independently associated with small-PIV/mRS ≥ 3 included older age (p = 0.010), cancer, and vascular risk-factors; post-treatment factors included 48-h NIHSS (p = 0.007) and post-stroke complications (p = 0.026). Absence of vascular risk-factors (p = 0.004), CT-based lentiform nucleus sparing (p = 0.002), lower 24-hour NIHSS (p = 0.001), and absence of complications (p = 0.013) were associated with large-PIV/mRS ≤ 2. Sensitivity analyses yielded similar results. Conclusions: Discrepancies between functional ability and PIV are likely explained by differences in age, comorbidities, and post-stroke complications, emphasizing the need for high-quality post-thrombectomy stroke care. Clinical trial registration: https://clinicaltrials.gov/ct2/show/NCT01778335.

Idioma originalInglés
Páginas (desde-hasta)593-601
Número de páginas9
PublicaciónInternational Journal of Stroke
Volumen16
N.º5
DOI
EstadoPublicada - jul 2021
Publicado de forma externa

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

  1. ODS 3: Salud y bienestar
    ODS 3: Salud y bienestar

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