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Major neurological syndromes with COVID-19: lessons to learn
SciMedicine Journal ; 4(1):13-24, 2022.
Article Dans Anglais | CAB Abstracts | ID: covidwho-20240435
ABSTRACT

Objective:

Covid-19 is a highly infectious viral disease, and our understanding of the impact of this virus on the nervous system is limited. Therefore, we aimed to do a systematic analysis of the neurological manifestations.

Methods:

We retrospectively studied the clinical, laboratory, and radiological findings of patients with major neurological syndromes (MNS) in Covid-19 over 6 months.

Results:

We had 39 patients with major neurological syndromes (MNS). The most common MNS was cerebrovascular disease (CVD) (61.53%), in which ischemic stroke (83.33%), cortical sinus thrombosis (12.50%), and haemorrhagic stroke (4.16%) were seen. Among ischemic stroke patients, 50% had a large vessel occlusion, and 66.66% of patients with CVD had a significant residual disability. Cranial neuropathy (15.38%), GBS (10.26%), encephalitis (7.26%), and myelitis (5.12%) were the other MNS. Among the three encephalitis cases, two had CSF-Covid-19 PCR positivity and had severe manifestations and a poor outcome. Associated comorbidities included hypertension (30.76%), diabetes mellitus (12.82%), chronic kidney diseases (7.69%), and polycythaemia vera (2.56%). Lung involvement was seen in 64.1% of patients. Mortality was 17.94% in MNS with Covid-19.

Conclusions:

The most common major neurological syndrome associated with Covid-19 is CVD with increased frequency of large vessel occlusion causing significant morbidity and mortality. Simultaneous lung and other systemic involvement in MNS results in a deleterious outcome.
Mots clés

Texte intégral: Disponible Collection: Bases de données des oragnisations internationales Base de données: CAB Abstracts Type d'étude: Étude pronostique / Examen systématique/Méta-analyse langue: Anglais Revue: SciMedicine Journal Année: 2022 Type de document: Article

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Texte intégral: Disponible Collection: Bases de données des oragnisations internationales Base de données: CAB Abstracts Type d'étude: Étude pronostique / Examen systématique/Méta-analyse langue: Anglais Revue: SciMedicine Journal Année: 2022 Type de document: Article