Multinational characterization of neurological phenotypes in patients hospitalized with COVID-19

Posted: 2021-10-13 19:00:00
Neurological complications worsen outcomes in COVID-19. To define the prevalence of neurological conditions among hospitalized patients with a positive SARS-CoV-2 reverse transcription polymerase chain reaction test in geographically diverse multinational populations during early pandemic, we used electronic health records (EHR) from 338 participating hospitals across 6 countries and 3 continents (January-September 2020) for a cross-sectional analysis. We assessed the frequency of International Classification of Disease code of neurological conditions by countries, healthcare systems, time before and after admission for COVID-19 and COVID-19 severity. Among 35,177 hospitalized patients with SARS-CoV-2 infection, there was an increase in the proportion with disorders of consciousness (5.8%, 95% confidence interval [CI] 3.7-7.8%, pFDR < 0.001) and unspecified disorders of the brain (8.1%, 5.7-10.5%, pFDR < 0.001) when compared to the pre-admission proportion. During hospitalization, the relative risk of disorders of consciousness (22%, 19-25%), cerebrovascular diseases (24%, 13-35%), nontraumatic intracranial hemorrhage (34%, 20-50%), encephalitis and/or myelitis (37%, 17-60%) and myopathy (72%, 67-77%) were higher for patients with severe COVID-19 when compared to those who never experienced severe COVID-19. Leveraging a multinational network to capture standardized EHR data, we highlighted the increased prevalence of central and peripheral neurological phenotypes in patients hospitalized with COVID-19, particularly among those with severe disease.

参考サイト PubMed: covid-19


11月 04, 2020 バイオアソシエイツ


どの患者が重症型の COVID-19 を発症するかを正確に予測できるスコアが初めて開発された。 RCSI(アイルランド王立外科医学院)大学の研究者が主導するこの研究は、2020年10月8日にランセットのトランスレーショナルリサーチジャーナルEBioMedicineのオンラインで発表された。 このオープンアクセスの論文は、「インターロイキン-6とインターロイキン-10の比率に基づく線形予後スコアが COVID-19 の転帰を予測する。(A Linear Prognostic Score Based on the…

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