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Background: COVID-19 infection is associated with neurological manifestations, including various types of movement disorders (MD). A thorough review of individual patients with COVID-19-induced MD would help in better understanding the clinical profile and outcome of these patients and in prognostication. Objective: We conducted an individual patient-systematic review to study the clinical and imaging profile and outcomes of patients with COVID-19-associated MD. Methods: A systematic literature search of PubMed, EMBASE, and Cochrane databases was conducted by two independent reviewers. Individual patient data COVID from case reports and case series on COVID-19-associated MD, published between December 2019 and December 2022, were extracted and analyzed. Results: Data of 133 patients with COVID-19-associated MD from 82 studies were analyzed. Mean age was 55 ± 18 years and 77% were males. A mixed movement disorder was most commonly seen (41%); myoclonus-ataxia was the most frequent (44.4%). Myoclonus significantly correlated with age (odds ratio (OR) 1.02 P = 0.03, CI 1-1.04). Tremor had the longest latency to develop after SARS-CoV-2 infection [median (IQR) 21 (10-40) days, P = 0.009, CI 1.01-1.05]. At short-term follow-up, myoclonus improved (OR 14.35, P value = 0.01, CI 1.71-120.65), whereas parkinsonism (OR 0.09, P value = 0.002, CI 0.19-0.41) and tremor (OR 0.16, P value = 0.016, CI 0.04-0.71) persisted. Conclusion: Myoclonus-ataxia was the most common movement disorder after COVID-19 infection. Myoclonus was seen in older individuals and usually improved. Tremor and parkinsonism developed after a long latency and did not improve in the short-term.
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Background: COVID-19 causes a hypercoagulable state leading to thrombosis. Many of these thrombotic complications occur in those with severe disease and late in the disease course. COVID-19 has recently been associated with cerebral venous thrombosis (CVT). Objective: To study the onset of CVT in relation to COVID-19 and compare their characteristics and outcomes with non-COVID CVT patients admitted during the same period. Materials and Methods: This multicentric, retrospective study conducted between April 4 and October 15, 2020, included adult patients with CVT who were positive for the SARS-CoV-2 virus and compared them with CVT patients who were negative for the SARS-CoV-2 virus hospitalized during the same period. We studied their clinical profile, risk factors for CVT, and markers of COVID coagulopathy, imaging characteristics, and factors influencing their outcomes. Results: We included 18 COVID-19-infected patients and compared them with 43 non-COVID-19 CVT patients. Fourteen patients in the COVID-19 group presented with CVT without the other typical features of COVID-19. Thirteen patients had non-severe COVID-19 disease. Twelve patients had a good outcome (mRS ≤2). Mortality and disability outcomes were not significantly different between the two groups. Conclusion: Our study suggests a possible association between COVID-19 and CVT. CVT can be the presenting manifestation of an underlying COVID-19, occurring early in the course of COVID-19 and even in those with mild disease. Patients with worse GCS on admission, abnormal HRCT chest, severe COVID-19, and need for invasive ventilation had a poor outcome.
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COVID-19 , Trombosis Intracraneal , Trombosis de la Vena , Adulto , COVID-19/complicaciones , Humanos , Trombosis Intracraneal/complicaciones , Estudios Retrospectivos , SARS-CoV-2 , Trombosis de la Vena/etiologíaRESUMEN
Arrhythmogenic right ventricular dysplasia (ARVD) is an underdiagnosed cardiomyopathy which commonly presents in young adults with ventricular tachycardia or sudden cardiac death. We report a case of ARVD presenting with features of acute ischemic cerebrovascular stroke. The suspicion of ARVD came only when the echocardiogram revealed dilatation and abnormal wall motion of the right ventricle in the presence of certain ECG findings consistent with ARVD. The diagnosis was later confirmed by cardiac MRI which is one of the most specific diagnostic tests for ARVD.
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Displasia Ventricular Derecha Arritmogénica/complicaciones , Isquemia Encefálica/etiología , Encéfalo/diagnóstico por imagen , Accidente Cerebrovascular/etiología , Displasia Ventricular Derecha Arritmogénica/diagnóstico por imagen , Isquemia Encefálica/diagnóstico por imagen , Humanos , Imagen por Resonancia Magnética , Masculino , Accidente Cerebrovascular/diagnóstico por imagen , Adulto JovenRESUMEN
OBJECTIVE: To describe the clinical, genetic, and epidemiologic features of hereditary spastic paraplegia (HSP) in Canada and to determine which clinical, radiologic, and genetic factors determine functional outcomes for patients with HSP. METHODS: We conducted a multicenter observational study of patients who met clinical criteria for the diagnosis of HSP in the provinces of Alberta, Ontario, and Quebec from 2012 to 2015. Characteristics of the participants were analyzed using descriptive statistics. The main outcome measure for a subset of the cohort (n = 48) was the Spastic Paraplegia Rating Scale. We also used the SPATAX-EUROSPA disability stage (disability score) to assess disability (n = 65). RESULTS: A total of 526 patients were identified with HSP across the country, and 150 patients had a confirmed genetic diagnosis. Mutations were identified in 15 different genes; the most common were SPAST (SPG4, 48%), ATL1 (SPG3A, 16%), SPG11 (8%), SPG7 (7%), and KIAA0196 (SPG8, 5%). The diagnosis of SPG4 was associated with older age at symptom onset (p = 0.0017). SPG4 and SPG3A were less associated with learning disabilities compared to other subtypes of HSP, and SPG11 was strongly associated with progressive cognitive deficits (odds ratio 87.75, 95% confidence interval 14.04-548.24, p < 0.0001). SPG3A was associated with better functional outcomes compared to other HSP subtypes (p = 0.04) on multivariate analysis. The strongest predictor of significant disability was abnormal brain MRI (p = 0.014). CONCLUSIONS: The most important predictors of disability in our HSP cohort were SPG11 mutations and abnormal brain MRI. Accurate molecular characterization of well-phenotyped cohorts and international collaboration are essential to establish the natural history of these rare neurodegenerative disorders.