Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7323075 | PMC |
| http://dx.doi.org/10.1002/pbc.28466 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Multicenter Evaluation of the QIAstat-Dx and the BioFire Multiplex Panel Tests for the Detection of Respiratory Pathogens.
J Med Virol
December 2024
Clinical Virology, University Hospital Basel, Basel, Switzerland.
Syndromic multiplex panel testing enables simultaneous detection of multiple respiratory pathogens, but limited data is available on the comparative diagnostic performance of different testing systems. In this multicenter prospective study, we aimed to compare the QIAstat-Dx Respiratory Panel 2.0 (QIAstat-Dx-RP2.
View Article and Find Full Text PDFFlight Hours and Depression in Flight Attendants During the COVID-19 Pandemic.
Aerosp Med Hum Perform
November 2024
Introduction: Flight attendants are constantly exposed to high-stress environments that could lead to the development of depression. The COVID-19 pandemic brought out new risk factors that could affect flight attendants' mental health, such as reduced flight hours and fear of the disease itself, which other studies have shown was associated with depression. We aimed to find out whether reduced flight hours, fear of COVID-19, and other factors were associated with depression in flight attendants during the COVID-19 pandemic.
View Article and Find Full Text PDFBackground: Recent biomedical research has shown the unusual, multisystem effects of coronavirus disease 2019 in humans. One specific sequela of a primary severe acute respiratory syndrome coronavirus 2 infection is the reactivation of latent viruses in various tissues, such as Epstein-Barr virus. Epstein-Barr virus has been identified in many inflammatory gastrointestinal lesions, such as microscopic gastritides and colitides.
View Article and Find Full Text PDFTemporal variations in QTc interval during and after COVID-19 infection: a retrospective study.
BMC Cardiovasc Disord
December 2024
Department of Cardiology, The Second Affiliated Hospital of Wannan Medical College, 10# Kangfu road, Wuhu, Anhui Province, 241000, China.
Objective: The aim of this study was to investigate the dynamic changes in QTc interval duration among patients with COVID-19 infection before, during, and after infection, in order to assess the short- and potential long-term impact of COVID-19 on cardiac electrophysiology.
Methods: A retrospective analysis was conducted on 303 inpatients diagnosed with COVID-19 who visited a tertiary Grade A hospital in China between August 2022 and December 2023. Inclusion criteria required patients to have at least two electrocardiogram (ECG) recordings at three specific time points: before COVID-19 infection, during acute infection, and after recovery (more than one month post-infection).
Artificial Intelligence Assessment of Chest Radiographs for COVID-19.
Clin Lymphoma Myeloma Leuk
November 2024
Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX.
Background: The sensitivity of reverse-transcription polymerase chain reaction (RT-PCR) is limited for diagnosis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Chest computed tomography (CT) is reported to have high sensitivity; however, given the limited availability of chest CT during a pandemic, the assessment of more readily available imaging, such as chest radiographs, augmented by artificial intelligence may substitute for the detection of the features of coronavirus disease 2019 (COVID-19) pneumonia.
Methods: We trained a deep convolutional neural network to detect SARS-CoV-2 pneumonia using publicly available chest radiography imaging data including 8,851 normal, 6,045 pneumonia, and 200 COVID-19 pneumonia radiographs.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!