ABSTRACT
AIM: To investigate stroke characteristics in patients with concomitant coronavirus disease 2019 (COVID-19) infection in Croatia during the second wave of the COVID-19 pandemic. METHODS: This retrospective study investigated the characteristics of two groups of ischemic stroke patients: those who developed COVID-19 infection before stroke and those who developed the infection during the hospital stay after stroke onset. Stroke etiology was classified according to the Trial of Org 10172 in Acute Stroke Treatment (TOAST) classification. RESULTS: We analyzed data from 255 stroke patients from 12 Croatian hospitals. The two groups of ischemic stroke patients differed in stroke etiology (P=0.038). Patients with COVID-19 infection before stroke had fewer cardioembolic strokes (46% vs 29.1%), more cryptogenic strokes (32.5% vs 14.3%), and more strokes in multiple vascular territories (12.4% vs 1.8%). The percentage of large-vessel occlusions was high in both groups (49.6% and 44.4%). Median modified Rankin Scale score on discharge was 4 in both groups. Mortality was 36.4% in the group with stroke after COVID-19 and 33.3% in the group with COVID-19 after stroke. CONCLUSION: Ischemic stroke after COVID-19 differs in etiology from ischemic stroke complicated by COVID-19 infection. Both patient groups are characterized by severe disability and high mortality. Raising the awareness of prehospital stroke and optimization of clinical workflow are important if we want to improve the stroke outcomes by acute recanalization techniques.
Subject(s)
COVID-19 , Ischemic Stroke , Stroke , Humans , Pandemics , COVID-19/complications , COVID-19/epidemiology , Croatia/epidemiology , Retrospective Studies , Stroke/epidemiology , Stroke/etiology , Ischemic Stroke/epidemiology , Ischemic Stroke/etiologyABSTRACT
The emergence of the Coronavirus disease (COVID-19) pandemic caused by the SARS-CoV-2 virus has had a widespread public health impact, thus causing a significant socioeconomic burden [...].
ABSTRACT
Infodemiology is a research discipline that investigates parameters of information distribution in order to support public health and public policy. Wikipedia, a free online encyclopedia, is commonly used as a source of information for infodemiological studies. Using Pageviews analysis, we descriptively assessed the total monthly number of views of the Wikipedia articles in English describing main neurological diseases in the period from January 2018 to July 2020. Our results show a general trend of a decrease in interest in neurological disease-related pages throughout years and especially during the burst of interest towards coronavirus. The monitoring of infodemiological indicators shall be prioritized to reshape global campaigns and tailored advocacy programs.