Coronavirus disease 2019 is caused by severe acute respiratory syndrome coronavirus 2. Primarily an infection of the lower respiratory tract, it is now well known to cause multisystem abnormalities. Hematologic manifestations constitute a significant area of concern. Severe acute respiratory syndrome coronavirus 2 infects monocytes and endothelial cells leading to a complex downstream cascade, cytokine storm, and eventual intravascular thrombosis. Coronavirus disease 2019 causes lymphopenia, neutrophilia, and thrombocytopenia. Prophylactic anticoagulation is vital in patients with coronavirus disease 2019, as its effect on the coagulation system is associated with significant morbidity and mortality. The disease can cause both arterial and venous thromboses, especially pulmonary embolism and pulmonary microthrombi. A high index of suspicion is indispensable in recognizing these complications, and timely institution of therapeutic anticoagulation is vital in treating them. Virus-induced disseminated intravascular coagulation is uncommon but shares some similarities to sepsis-induced disseminated intravascular coagulation. Marked elevations in hematologic biomarkers such as lactate dehydrogenase, D-dimer, ferritin, and C-reactive protein are associated with worse outcomes. Understanding the pathophysiology and recognizing factors associated with poor prognosis are crucial in improving patient outcomes with coronavirus disease 2019.
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http://dx.doi.org/10.1007/s00277-020-04366-y | DOI Listing |
J Epidemiol Glob Health
January 2025
Center of Clinical Laboratory, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, No.201-209 Hubinnan Road, Xiamen, 361004, China.
Background: During the COVID-19 outbreak in December 2022 in China, some laboratory workers in SARS-CoV-2 nucleic acid testing (NAT) laboratories remained uninfected.
Objectives: To evaluate if the incidence of SARS-CoV-2 infection was reduced in laboratory workers who performed SARS-CoV-2 NAT, and whether this reduction resulted from the healthy worker effect.
Methods: This retrospective cohort study included 423 laboratory workers from 14 SARS-CoV-2 NAT laboratories in Xiamen, China.
J R Soc Interface
January 2025
Department of Mathematics, The University of Manchester, Manchester, UK.
The reproduction number, the mean number of secondary cases infected by each primary case, gives an indication of the effort required to control the disease. Beyond the well-known reproduction number, there are two natural extensions, namely the and reproduction numbers. As behaviour, population immunity and viral characteristics can change with time, these reproduction numbers can vary over time.
View Article and Find Full Text PDFVet Anim Sci
March 2025
Nacional Institute of Agrarian and Veterinarian Research, Virology Laboratory, Quinta Do Marquês, Av. da República, 2780-157, Oeiras, Portugal.
Infectious viral pathogens significantly impact wild Leporidae populations, particularly , which was listed as 'Endangered' in 2019. Myxomatosis and rabbit haemorrhagic disease are major contributors to severe epizootics with limited long-lasting immunity. This study expanded beyond these well-documented viruses to include a broader spectrum of viruses in 36 wild rabbit carcasses () collected from the field in 2018, 2019, 2021 and 2024, and 32 wild rabbits hunted in 2017/2018.
View Article and Find Full Text PDFMalawi Med J
January 2025
Department of Infectious Disease, Akdeniz University School of Medicine, Antalya, Turkey.
Objectives: The present study aimed to examine mood disorders in patients discharged from the hospital due to Coronavirus Disease-19 (COVID-19).
Methods: The study included patients who were admitted to Akdeniz University with the diagnosis of COVID-19. Post-Traumatic Stress Disorder (PTSD) Checklist - Civilian Version (PCL-5), and Beck Anxiety and Depression Inventories were administered to the patients at least 30 days after discharge.
J R Soc Interface
January 2025
Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield Grove, Bristol, BS8 2BN, UK.
COVID-19 vaccine programmes must account for variable immune responses and waning protection. Existing descriptions of antibody responses to COVID-19 vaccination convey limited information about the mechanisms of antibody production and maintenance. We describe antibody dynamics after COVID-19 vaccination with two biologically motivated mathematical models.
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