Selected article for: "regression model and short term"

Author: Ramos-Araque, María E.; Siegler, James E.; Ribo, Marc; Requena, Manuel; López, Cristina; de Lera, Mercedes; Arenillas, Juan F.; Pérez, Isabel Hernández; Gómez-Vicente, Beatriz; Talavera, Blanca; Portela, Pere Cardona; Guillen, Ana Nuñez; Urra, Xabier; Llull, Laura; Renú, Arturo; Nguyen, Thanh N.; Jillella, Dinesh; Nahab, Fadi; Nogueira, Raul; Haussen, Diogo; Then, Ryna; Thon, Jesse M.; Esparragoza, Luis Rodríguez; Hernández-Pérez, Maria; Bustamante, Alejandro; Mansour, Ossama Yassin; Megahed, Mohammed; Hassan, Tamer; Liebeskind, David S.; Hassan, Ameer; Bushnaq, Saif; Osman, Mohamed; Vazquez, Alejandro Rodriguez
Title: Stroke etiologies in patients with COVID-19: the SVIN COVID-19 multinational registry
  • Cord-id: sfozta1t
  • Document date: 2021_1_30
  • ID: sfozta1t
    Snippet: 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 e
    Document: 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
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