Neurological manifestations of COVID-19: a retrospective observational study based on 1060 patients with a narrative review.
Acta Radiol
; : 2841851221138557, 2022 Nov 30.
Article
in English
| MEDLINE | ID: covidwho-2317625
ABSTRACT
BACKGROUND:
In the past two decades, three coronavirus epidemics have been reported. Coronavirus disease 2019 (COVID-19) is caused by a severe acute respiratory syndrome (SARS)-like coronavirus (SARS-CoV-2). In most patients, the disease is characterized by interstitial pneumonia, but features can affect other organs.PURPOSE:
To document the radiological features of the patients and to perform a narrative review of the literature. MATERIAL ANDMETHODS:
We conducted a retrospective, single-center study on 1060 consecutive hospitalized patients with COVID-19 at our institution. According to the inclusion criteria, we selected patients to be studied in more radiological detail. All images were obtained as per standard of care protocols. We performed a statistic analysis to describe radiological features. We then presented a systematic review of the main and conventional neuroimaging findings in COVID-19.RESULTS:
Of 1060 patients hospitalized for COVID-19 disease, 15% (159) met the eligibility criteria. Of these, 16 (10%) did not undergo radiological examinations for various reasons, while 143 (90%) were examined. Of these 143 patients, 48 (33.6%) had positive neuroimaging. We found that the most frequent pathology was acute ischemic stroke (n=16, 33.3%). Much less frequent were Guillain-Barre syndrome (n=9, 18.8%), cerebral venous thrombosis (n=7, 14.6%), encephalitis or myelitis (n=6, 12.5%), intracranial hemorrhage and posterior hemorrhagic encephalopathy syndrome (n=4, 8.3%), exacerbation of multiple sclerosis (n=4, 8.3%), and Miller-Fisher syndrome (n=2, 4.2%).CONCLUSION:
Our data are coherent with the published literature. Knowledge of these patterns will make clinicians consider COVID-19 infection when unexplained neurological findings are encountered.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Type of study:
Observational study
/
Prognostic study
/
Reviews
/
Systematic review/Meta Analysis
Language:
English
Journal:
Acta Radiol
Year:
2022
Document Type:
Article
Affiliation country:
02841851221138557
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