Author: Ramos-Araque, MarÃa 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 RodrÃguez; 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=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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12883-021-02075-1.
Search related documents:
Co phrase search for related documents- acute ischemic stroke and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72
- acute ischemic stroke cause and logistic regression: 1, 2
- acute stroke treatment and adjusted model: 1, 2, 3, 4, 5
- acute stroke treatment and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70
- acute stroke treatment toast and logistic regression: 1
- additional point and logistic regression: 1, 2, 3, 4, 5
- adjust regression model and logistic regression: 1, 2, 3, 4
- adjusted model and admission white blood cell count: 1
- adjusted model and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73
- admission white blood cell count and logistic regression: 1, 2, 3, 4
Co phrase search for related documents, hyperlinks ordered by date