BMC Neurology (Jan 2021)

Stroke etiologies in patients with COVID-19: the SVIN COVID-19 multinational registry

  • María E. Ramos-Araque,
  • James E. Siegler,
  • Marc Ribo,
  • Manuel Requena,
  • Cristina López,
  • Mercedes de Lera,
  • Juan F. Arenillas,
  • Isabel Hernández Pérez,
  • Beatriz Gómez-Vicente,
  • Blanca Talavera,
  • Pere Cardona Portela,
  • Ana Nuñez Guillen,
  • Xabier Urra,
  • Laura Llull,
  • Arturo Renú,
  • Thanh N. Nguyen,
  • Dinesh Jillella,
  • Fadi Nahab,
  • Raul Nogueira,
  • Diogo Haussen,
  • Ryna Then,
  • Jesse M. Thon,
  • Luis Rodríguez Esparragoza,
  • Maria Hernández-Pérez,
  • Alejandro Bustamante,
  • Ossama Yassin Mansour,
  • Mohammed Megahed,
  • Tamer Hassan,
  • David S. Liebeskind,
  • Ameer Hassan,
  • Saif Bushnaq,
  • Mohamed Osman,
  • Alejandro Rodriguez Vazquez,
  • SVIN Multinational Registry and Task Force

DOI
https://doi.org/10.1186/s12883-021-02075-1
Journal volume & issue
Vol. 21, no. 1
pp. 1 – 11

Abstract

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Abstract Background and purpose Coronavirus disease 2019 (COVID-19) is associated with a small but clinically significant risk of stroke, the cause of which is frequently cryptogenic. In a large multinational cohort of consecutive COVID-19 patients with stroke, we evaluated clinical predictors of cryptogenic stroke, short-term functional outcomes and in-hospital mortality among patients according to stroke etiology. Methods We explored clinical characteristics and short-term outcomes of consecutively evaluated patients 18 years of age or older with acute ischemic stroke (AIS) and laboratory-confirmed COVID-19 from 31 hospitals in 4 countries (3/1/20–6/16/20). Results Of the 14.483 laboratory-confirmed patients with COVID-19, 156 (1.1%) were diagnosed with AIS. Sixty-one (39.4%) were female, 84 (67.2%) white, and 88 (61.5%) were between 60 and 79 years of age. The most frequently reported etiology of AIS was cryptogenic (55/129, 42.6%), which was associated with significantly higher white blood cell count, c-reactive protein, and D-dimer levels than non-cryptogenic AIS patients (p</=0.05 for all comparisons). In a multivariable backward stepwise regression model estimating the odds of in-hospital mortality, cryptogenic stroke mechanism was associated with a fivefold greater odds in-hospital mortality than strokes due to any other mechanism (adjusted OR 5.16, 95%CI 1.41–18.87, p = 0.01). In that model, older age (aOR 2.05 per decade, 95%CI 1.35–3.11, p < 0.01) and higher baseline NIHSS (aOR 1.12, 95%CI 1.02–1.21, p = 0.01) were also independently predictive of mortality. Conclusions Our findings suggest that cryptogenic stroke among COVID-19 patients carries a significant risk of early mortality.

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