Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
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Coronavirus disease 2019 (COVID-19) is a global pandemic that causes flu-like symptoms. There is a growing body of evidence suggesting that both the central and peripheral nervous systems can be affected by SARS-CoV-2, including stroke. We present three cases of arterial ischemic strokes and one venous infarction from a cerebral venous sinus thrombosis in the setting of COVID-19 infection who otherwise had low risk factors for stroke. ⋯ It is important to recognize the neurological manifestations of COVID-19, especially ischemic stroke, either arterial or venous in nature. Hypercoagulability and the cytokine surge are perhaps the cause of ischemic stroke in these patients. Further studies are needed to understand the role of anticoagulation in these patients.
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Since the outbreak with novel corona virus in December 2019, a myriad of different neurological manifestations in patients with COVID-19 infection have been reported. We present a case of non-traumatic intracranial hemorrhage in the olfactory gyrus in a patient who tested positive for SARS-COV-2. ⋯ Given that loss of smell is considered a relatively common symptom of this pandemic, it is an intriguing association of COVID-19 and olfactory gyrus ICH for neurotropism of SARS-CoV2 for olfactory bulb and glia cells through nasal mucosa. Future studies will need to elucidate the exact mechanism of anosmia from COVID-19 and potential mechanisms leading to ICH.
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We describe a patient affected by Covid-19 acute respiratory distress syndrome with a cerebral nervous system vasculitis triggered by SARS-Cov-2, managed at the University hospital, in Novara, Italy in the area most impacted by the pandemic and where 749 Covid-19 positive patients were admitted from March 1st until April 25th, 2020.
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Post-stroke discharge planning may be aided by accurate early prognostication. Machine learning may be able to assist with such prognostication. The study's primary aim was to evaluate the performance of machine learning models using admission data to predict the likely length of stay (LOS) for patients admitted with stroke. ⋯ Logistic regression was also the best performing model for predicting home vs non-home discharge destination (AUC 0.81). This study indicates that machine learning may aid in the prognostication of factors relevant to post-stroke discharge planning. Further prospective and external validation is required, as well as assessment of the impact of subsequent implementation.
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Case Reports
Vasculitis-related stroke in young as a presenting feature of novel coronavirus disease (COVID19) - Case report.
COVID-19 is the disease caused by Novel Coronavirus (SARS-CoV-2) infection and world current main public health problem, due to its easy transmissibility and multiple clinical presentations. The main symptoms reported worldwide are dry cough, dyspnea, and fever, as well as anosmia and ageusia. COVID-19 diagnosis is made with RT-PCR, but many other complementary exams may be used to guide clinical practice, such as Chest Computerized Tomography (CT), showing ground glass opacities; increase in inflammatory markers, as C-Reactive Protein and Erythrocyte Sedimentation Rate; hemogram might show hypoalbuminemia, thrombocytopenia. ⋯ Underwent brain MRI and serum serological analysis. SARS-CoV-2 capacity of affecting brain homeostasis by breaking blood-brain barrier, makes it easier to develop ischemic or inflammatory damage, and invading central nervous system. Neurological symptoms and syndromes are the main consequences of COVID-19 pandemic and must be prevented through adequate clinical management.