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Stroke etiologies in patients with COVID-19: the SVIN COVID-19 multinational registry
María E Ramos-Araque1,2, James E Siegler3, Marc Ribo4,5
1Institute of Biomedical Research of Salamanca, Department of Neurology, Hospital Universitario de Salamanca, Salamanca, Spain.
Insights
Cryptogenic stroke in COVID-19 patients is common and linked to higher mortality. This study identifies predictors of cryptogenic stroke and its association with increased in-hospital death risk.
Area of Science:
- Neurology
- Infectious Diseases
- Public Health
Background:
- Coronavirus disease 2019 (COVID-19) presents a notable risk for stroke, often cryptogenic.
- Understanding stroke etiology in COVID-19 patients is crucial for predicting outcomes.
Purpose of the Study:
- To evaluate clinical predictors of cryptogenic stroke in COVID-19 patients.
- To assess short-term functional outcomes and in-hospital mortality based on stroke etiology in a large multinational cohort.
Main Methods:
- A multinational cohort study included 14,483 laboratory-confirmed COVID-19 patients with acute ischemic stroke (AIS) from 31 hospitals.
- Clinical characteristics, stroke etiology, and in-hospital outcomes were analyzed for patients aged 18 years or older.
Main Results:
- 1.1% of COVID-19 patients (156/14,483) had AIS. Cryptogenic stroke (42.6%) was the most frequent etiology.
- Cryptogenic AIS was associated with higher white blood cell count, C-reactive protein, and D-dimer levels.
- Cryptogenic stroke mechanism independently predicted a fivefold increase in in-hospital mortality (aOR 5.16), alongside older age and higher NIHSS.
Conclusions:
- Cryptogenic stroke in COVID-19 patients is associated with a significant risk of early mortality.
- Identifying cryptogenic stroke mechanisms is vital for managing COVID-19 patients at risk of stroke.
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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