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| http://dx.doi.org/10.1016/j.bbih.2020.100131 | DOI Listing |
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Artificial intelligence in triage of COVID-19 patients.
Front Artif Intell
December 2024
School of Medicine, University of Brasilia, Brasilia, Brazil.
In 2019, COVID-19 began one of the greatest public health challenges in history, reaching pandemic status the following year. Systems capable of predicting individuals at higher risk of progressing to severe forms of the disease could optimize the allocation and direction of resources. In this work, we evaluated the performance of different Machine Learning algorithms when predicting clinical outcomes of patients hospitalized with COVID-19, using clinical data from hospital admission alone.
View Article and Find Full Text PDFComparison of a Commercial SARS-CoV-2 Rapid Antigen Test with Real-Time PCR.
Infect Dis Clin Microbiol
December 2024
Department of Medical Microbiology, Bursa Uludağ University School of Medicine, Bursa, Türkiye.
Objective: The study compared the mö-screen Corona Antigen Test (Qiagen, Germany) with RT-PCR in suspected COVID-19 patients.
Materials And Methods: Two hundred combined oro-nasopharyngeal swabs were collected from patients with suspected COVID-19 to evaluate the analytical performance of the mö-screen Corona Antigen Test compared to qualitative real-time reverse transcriptase polymerase chain reaction (RT-PCR) in symptomatic patients.
Results: The mö-screen Corona Antigen Test showed an overall agreement with a sensitivity of 100%, a specificity of 100%, a positive predictive value (PPV) of 100%, and a negative predictive value (NPV) of 100%.
Predictive Role and Clinical Value of Serum Cytokines in COVID-19.
Infect Dis Clin Microbiol
December 2024
Koç University Isbank Center for Infectious Diseases (KUISCID), İstanbul, Türkiye.
Objective: are clinically relevant for severity prediction and treatment of COVID-19 caused by SARS-CoV-2. We aimed to demonstrate the potential cytokines for severity prediction in the five days after symptom onset and describe the importance of serum cytokine levels for patients with different disease severity.
Materials And Methods: Hospitalized COVID-19 patients and healthy control participants were recruited, and serial sera were collected from COVID-19 patients.
Clinical and immunological features in patients with neuroimmune complications of COVID-19 during Omicron wave in China: a case series.
Front Immunol
January 2025
Department of Neurology, Huashan Hospital, Fudan University and Institute of Neurology, Fudan University, National Center for Neurological Disorders, Shanghai, China.
Purpose: This study aimed to present clinical and immunological features in patients with neuroimmune complications of COVID-19 during Omicron wave in China.
Methods: Patients with neuroimmune complications associated with COVID-19 were retrospectively analyzed in Huashan Hospital from December 2022 to April 2023, during the widespread prevalence of Omicron variants in China. Demographic information, symptoms, electrophysiological findings, cerebrospinal fluid(CSF) test results and immunological markers, Magnetic Resonance Imaging(MRI) characteristics, treatment strategies and outcomes of these patients were reviewed and analyzed.
SARS-CoV-2 strains and clinical profiles of COVID-19 patients in a Southern Brazil hospital.
Front Immunol
January 2025
Laboratory of Genomic Medicine, Center of Experimental Research, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil.
Introduction: The COVID-19 pandemic had a widespread global impact and presented numerous challenges. The emergence of SARS-CoV-2 variants has changed transmission rates and immune evasion, possibly impacting the severity. This study aims to investigate the impact of variants on clinical outcomes in southern Brazil.
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