FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4367302684> ?p ?o ?g. }

• W4367302684 abstract "<h3>Objective:</h3> This study aimed to assess the correlation of neurological symptoms with the disease severity and mortality. Furthermore, different models were proposed to predict the severity and mortality using COVID-19 symptoms including neurological manifestations. <h3>Background:</h3> Coronavirus disease 2019 (COVID-19) was first described after many cases of pneumonia with unknown cause were reported in Wuhan, China in December, 2019. COVID-19 can present multiple non-respiratory symptoms and it was found to be associated with increased risk of different neurological manifestations. <h3>Design/Methods:</h3> This is a prospective cohort study conducted among hospitalized patients diagnosed with COVID-19 from April 7, 2020 to January 21, 2020. All manifestations were recorded and patients were examined by a neurologist to identify neurological symptoms. The severity was classified based on American Thoracic Society recommendations for community-acquired pneumonia. Data were analyzed and models were designed using IPython 7.22.0 in Jupyter notebook 6.3.0 from Anaconda. <h3>Results:</h3> There were 921 eligible participants (552 males and 369 females) in this study. The mean age of individuals was 61.58 ± 17.63 years. Smell and taste dysfunctions were the most common neurological symptom, reported in 619 patients (67.2%) and were associated with reduced odds of severe cases (OR: 0.63, 95%CI: 0.41 to 0.89) and death (OR: 0.61, 95%CI: 0.38 to 0.86). Myalgia (26.9%), headaches (14.8%), and dizziness (9.8%) were other common neurological symptoms. Headaches had negative correlation with severity (OR: 0.48, 95%CI: 0.34 to 0.85) and death due to COVID-19 (OR: 0.39, 95%CI: 0.77 to 0.94) but myalgia and dizziness were not correlated. The analysis of neurological and non-neurological symptoms showed that headaches and smell and taste dysfunction had the highest correlation with patients with mild severity and lower death rate. <h3>Conclusions:</h3> Neurological manifestations in hospitalized patients with COVID-19 can predict disease severity and mortality. <b>Disclosure:</b> Dr. Salehi has nothing to disclose. Dr. Garakani has received personal compensation in the range of $500-$4,999 for serving as an Editor, Associate Editor, or Editorial Advisory Board Member for Wolters-Kluwer. Mr. Amanat has nothing to disclose." @default.
• W4367302684 created "2023-04-29" @default.
• W4367302684 creator A5021790334 @default.
• W4367302684 creator A5041506704 @default.
• W4367302684 creator A5074218819 @default.
• W4367302684 date "2023-04-25" @default.
• W4367302684 modified "2023-10-01" @default.
• W4367302684 title "Machine Learning Models to Predict Severity and Mortality of COVID-19 Using Neurological Symptoms (S21.002)" @default.
• W4367302684 doi "https://doi.org/10.1212/wnl.0000000000204025" @default.
• W4367302684 hasPublicationYear "2023" @default.
• W4367302684 type Work @default.
• W4367302684 citedByCount "0" @default.
• W4367302684 crossrefType "proceedings-article" @default.
• W4367302684 hasAuthorship W4367302684A5021790334 @default.
• W4367302684 hasAuthorship W4367302684A5041506704 @default.
• W4367302684 hasAuthorship W4367302684A5074218819 @default.
• W4367302684 hasConcept C126322002 @default.
• W4367302684 hasConcept C141071460 @default.
• W4367302684 hasConcept C187212893 @default.
• W4367302684 hasConcept C2777914695 @default.
• W4367302684 hasConcept C2778616394 @default.
• W4367302684 hasConcept C2779134260 @default.
• W4367302684 hasConcept C2780966972 @default.
• W4367302684 hasConcept C30036603 @default.
• W4367302684 hasConcept C3008058167 @default.
• W4367302684 hasConcept C524204448 @default.
• W4367302684 hasConcept C71924100 @default.
• W4367302684 hasConceptScore W4367302684C126322002 @default.
• W4367302684 hasConceptScore W4367302684C141071460 @default.
• W4367302684 hasConceptScore W4367302684C187212893 @default.
• W4367302684 hasConceptScore W4367302684C2777914695 @default.
• W4367302684 hasConceptScore W4367302684C2778616394 @default.
• W4367302684 hasConceptScore W4367302684C2779134260 @default.
• W4367302684 hasConceptScore W4367302684C2780966972 @default.
• W4367302684 hasConceptScore W4367302684C30036603 @default.
• W4367302684 hasConceptScore W4367302684C3008058167 @default.
• W4367302684 hasConceptScore W4367302684C524204448 @default.
• W4367302684 hasConceptScore W4367302684C71924100 @default.
• W4367302684 hasLocation W43673026841 @default.
• W4367302684 hasOpenAccess W4367302684 @default.
• W4367302684 hasPrimaryLocation W43673026841 @default.
• W4367302684 hasRelatedWork W2010519611 @default.
• W4367302684 hasRelatedWork W2412217879 @default.
• W4367302684 hasRelatedWork W2554635175 @default.
• W4367302684 hasRelatedWork W3122981624 @default.
• W4367302684 hasRelatedWork W3162081874 @default.
• W4367302684 hasRelatedWork W4287529139 @default.
• W4367302684 hasRelatedWork W4297265647 @default.
• W4367302684 hasRelatedWork W4298395882 @default.
• W4367302684 hasRelatedWork W4311787753 @default.
• W4367302684 hasRelatedWork W4360788547 @default.
• W4367302684 isParatext "false" @default.
• W4367302684 isRetracted "false" @default.
• W4367302684 workType "article" @default.