COVID-19 and stroke: from the cases to the causes.
Giovanni FrisulloIrene ScalaSimone BellaviaAldobrando BroccoliniValerio BrunettiRoberta MorosettiGiacomo Della MarcaPaolo CalabresiPublished in: Reviews in the neurosciences (2021)
During COVID-19 pandemic, a wide variety of stroke typologies have been described in patients affected by SARS-CoV-2. Investigating the case reports of acute stroke in COVID-19 patients, published since the beginning of the pandemic, we tried to trace the pathogenic mechanisms of stroke during SARS-CoV-2 infection. We conducted a systematic review analyzing demographic data, cerebrovascular risk factors, NIHSS score, vascular territory involvement and laboratory findings of 168 patients described in 89 studies, from a pool of 1243 records. Based on our results, we have identified different stroke profiles: (1) cerebral large vessel disease (CLVD) profile with a low disability, simultaneous onset of COVID-19 and stroke symptoms, good outcome and low serum levels of D-dimer and CRP; (2) intracranial bleeding (IB) profile with high disability, poor outcome and low levels of serum markers of inflammation and coagulopathy; (3) CLVD profile with a short time-lapse between COVID-19 symptoms and stroke onset, high neurological disability and very high systemic inflammatory markers; (4) multiple thrombo-embolic disease (MTED) profile with older patients, many comorbidities, disabling stroke, poor outcome, evident alteration of coagulation tests and high serum levels of both D-dimer and CRP. We therefore summarized these different profiles in a spectrum similar to that of visible light, where the violet-blue band included IB and CSVD with low inflammation and prothrombotic activity, the green-yellow band included CLVD with high inflammation and moderate prothrombotic activity and the orange-red band for MTED with moderate-high levels of inflammation and very high prothrombotic activity.
Keyphrases
- sars cov
- atrial fibrillation
- coronavirus disease
- oxidative stress
- respiratory syndrome coronavirus
- multiple sclerosis
- cerebral ischemia
- risk factors
- end stage renal disease
- newly diagnosed
- ejection fraction
- systematic review
- prognostic factors
- machine learning
- visible light
- heavy metals
- depressive symptoms
- optical coherence tomography
- brain injury
- physical activity
- big data
- risk assessment
- drug induced
- high intensity
- data analysis