Background: Coronavirus disease 2019 (COVID-19) has affected over 145 million infected people and 3 million deaths worldwide. There has been limited data to recommend either for or against use of antiviral regimens in mild COVID-19 patients. This study aimed to compare clinical outcomes between mild COVID-19 patients receiving antiviral drugs and those without.
Method: Thai patients diagnosed with COVID-19 at field hospital affiliated to Thammasat University Hospital, Thailand were evaluated between January 1, 2020 and April 13, 2021. Patients' data, clinical presentation, past medical history, laboratory results, and treatment outcomes were extensively reviewed.
Results: Five hundred patients with positive tests were included in the study. The mean age was 35.9 years; 46% males. There were 225 (45%), 207 (41.4%), 44 (8.8%), 18 (3.6%), 6 (1.2%) patients with asymptomatic, mild, moderate, severe, and critical COVID-19, respectively. Of 207 mild COVID-19 patients, 9 (4.3%) received lopinavir/ritonavir or darunavir/ritonavir, 17 (8.2%) received favipiravir, while 175 (84.5%) had only supportive care. Mild COVID-19 patients receiving antiviral treatment had longer median length of hospital stay [13 days (IQR 11-14) vs. 10 days (IQR 8-12), p < 0.001] than patients having only supportive treatment. Antiviral drug use was significantly associated with longer hospital stay (>10 days) in mild COVID-19 patients (OR 5.52; 95%CI 2.12-14.40, p < 0.001). Adverse drug reactions such as diarrhea, abdominal pain, and hepatitis were also demonstrated in our COVID-19 patients with antiviral treatments. Majority of patients (97.6%) recovered without any complications and were discharged home. Two deaths were caused by acute respiratory distress syndrome from severe COVID-19 pneumonia.
Conclusion: Antiviral treatment could not provide superior clinical outcomes to supportive care in mild COVID-19 patients. Mild COVID-19 patients receiving antiviral medication had longer length of hospital stay than those without. Standard supportive care and regular monitoring of disease progression might be keys for successful management of mild COVID-19.
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http://dx.doi.org/10.1016/j.jiph.2021.07.019 | DOI Listing |
Alzheimers Dement
December 2024
University of South Alabama, Mobile, AL, USA.
Background: Many survivors of lung injury, including those with bacterial pneumonia and COVID-19, suffer from incident dementia. Patients who have had pneumonia and other infections are at a higher risk for developing Alzheimer's disease and related dementias (ADRD) (Chu et al., BBI, 2022, Sipila et al.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of São Paulo School of Medicine, São Paulo, São Paulo, Brazil.
Background: Post-COVID19 syndrome is characterized by signs and symptoms that occur within 3 months of the onset of COVID19 acute phase and last at least 2 months. In the past 3 years, cognitive impairment has frequently been associated with COVID19 with descriptions of attentional, executive, memory, and language disorders. Many studies have assessed these cognitive disturbances using online and telephone tests, often in isolated interviews on a cross-sectional design in high-income countries.
View Article and Find Full Text PDFHeliyon
November 2024
Trakya University School of Medicine, Department of Medical Biochemistry, Edirne, Turkey.
Objectives: To investigate the serum surfactant protein D (SP-D) level required to determine the diagnosis and prognosis of coronavirus disease 2019 (COVID-19), and create a new scale for disease prognosis prediction.
Methods: This study was conducted among 64 patients with COVID-19 symptoms and 16 healthy volunteers. The participants were assessed by comparing "Controls/Patients", "PCR-negative/PCR-positive", "Simple COVID-19/Acute respiratory distress syndrome (ARDS)-accompanied COVID-19", "Mild ARDS/Moderate-severe ARDS", and "Survived/Dead" subgroups.
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 PDFFront Immunol
January 2025
Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, Netherlands.
Introduction: During the COVID-19 pandemic, major events with immune-modulating effects at population-level included COVID-19 infection, lockdowns, and mass vaccinations campaigns. As immune responses influence many immune-mediated diseases, population scale immunological changes may have broad consequences.
Methods: We investigated the impact of lockdowns, COVID-19 infection and vaccinations on immune responses in the 2000HIV study including 1895 asymptomatic virally-suppressed people living with HIV recruited between October 2019 and October 2021.
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