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BACKGROUND: Reliable clinical and laboratory predictors of coronavirus disease 2019 (COVID-19) disease progression could help to identify the subset of patients who are susceptible to severe symptoms. This study sought to identify the predictors for disease progression in patients with COVID-19. METHODS: This study recruited consecutive patients from four hospitals between March 1, 2020, and July 31, 2021. Demographic characteristics, laboratory results, and clinical outcomes were collected. RESULTS: Among the 239 enrolled patients, 39.3% (94/239) experienced in-hospital disease progression. Multivariate logistic regression revealed that coronary arterial disease (CAD) (OR,4.15;95% C.I., 1.47-11.66), cerebrovascular attack (CVA) (OR,12.98; 95% C.I., 1.30-129.51), platelet count < median value (OR, 3.23; 95% C.I., 1.65-6.32), and C-reactive protein (CRP) levels > median value of (OR, 2.25; 95% C.I., 1.02-4.99) were independent factors associated with COVID-19 progression. Patients who underwent disease progression at days 1, 4, and 7 presented lower lymphocyte counts and higher CRP levels, compared to patients without disease progression. CONCLUSIONS: The study revealed that in hospitalized COVID-19 patients, comorbidity with CAD and CVA, low platelet count, and elevated CRP levels were independently associated with disease progression. Compared with patients without disease progression, those with disease progression presented persistently low lymphocyte counts and elevated CRP levels.
ABSTRACT
Platelet hyper-reactivity and neutrophil extracellular trap (NET) formation contribute to the development of thromboembolic diseases for patients infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This study investigated the pathophysiological effects of SARS-CoV-2 surface protein components and the viral double-stranded RNA (dsRNA) on platelet aggregation and NET formation. Traditional Chinese medicine (TCM) with anti-viral effects was also delineated. The treatment of human washed platelets with SARS-CoV-2 spike protein S1 or the ectodomain S1 + S2 regions neither caused platelet aggregation nor enhanced agonists-stimulated platelet aggregation. Moreover, NET formation can be induced by polyinosinic-polycytidylic acid (poly(I:C)), a synthetic analog of viral dsRNA, but not by the pseudovirus composed of SARS-CoV-2 spike, envelope, and membrane proteins. To search for TCM with anti-NET activity, the plant Melastoma malabathricum L. which has anticoagulant activity was partially purified by fractionation. One of the fractions inhibited poly(I:C)-induced NET formation in a dose-dependent manner. This study implicates that SARS-CoV-2 structural proteins alone are not sufficient to promote NET and platelet activation. Instead, dsRNA formed during viral replication stimulates NET formation. This study also sheds new insight into using the active components of Melastoma malabathricum L. with anti-NET activity in the battle of thromboembolic diseases associated with SARS-CoV-2 infection.
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OBJECTIVES: This study explored the outcomes and predictors of early viral clearance among patients with COVID-19. METHODS: This study recruited consecutive patients from March 1, 2020 to July 31, 2021. Early viral clearance was defined as having a duration from symptom onset to successive detection of SARS-CoV-2 polymerase chain reaction cycle threshold (Ct) value of ≥30 within 10 days. RESULTS: Among the 239 enrolled patients, 54.4% (130 patients) had early viral clearance. A multivariate logistic regression analysis identified that dexamethasone use and day 1 Ct values were independent factors associated with late viral clearance. Patients with mild-moderate severity and who received dexamethasone therapy had a longer time to viral clearance than those who did not receive dexamethasone (17.2 ± 1.8 days vs 12.3 ± 1.1 days, P = 0.018). Patients with severe-critical severity had a similar duration from symptom onset to Ct value ≥30, regardless of dexamethasone therapy (18.3 ± 0.9 days vs 16.7 ± 4.7 days, P = 0.626). CONCLUSION: The study revealed that dexamethasone therapy and Ct values are independent predictors of late viral clearance. Patients with severe disease course due to older age, increased number of comorbidities, and worse clinical outcomes experienced delayed viral clearance.
Subject(s)
COVID-19 , Humans , SARS-CoV-2 , COVID-19 Drug Treatment , Dexamethasone , Cohort StudiesABSTRACT
Objective: Direct comparison of the clinical traits of coronavirus disease 2019 (COVID-19) in strain D614G, which originated from Wuhan, China, and the Alpha variant, which contains 17 mutations, infected patients could help physicians distinguish between strains and make clinical decisions accordingly. This study sought to compare the clinical characteristics and outcomes of the D614G strain and Alpha variant of SARS-COV-2 and identify the predictors for viral RNA clearance and in-hospital mortality in patients with COVID-19. Methods: This study recruited consecutive patients from four hospitals between March 1, 2020, and July 31, 2021. Demographic characteristics, laboratory results, and clinical outcomes were determined. Results: Among the 239 enrolled patients, 11.2% (27/239) were infected with strain D614G and 88.7% (212/239) were infected with the Alpha variant. There were no significant differences in disease progression, rate of respiratory failure, subsequent development of acute respiratory distress syndrome (ARDS), acute kidney injury, cardiac injury, duration of stay in the intensive care unit or hospital, discharge rate, mortality rate, or viral RNA clearance time between the two groups. Multivariate Cox regression revealed that antibiotic therapy reduced the risk of delayed viral RNA clearance (hazard ratio [HR], 0.26; 95% confidence interval [CI], 0.13-0.55), while autoimmune disease increased the risk of delayed viral RNA clearance (HR, 3.98; 95% CI, 1.21-13.04). Elderly patients (age > 65 years) and patients with a history of cerebrovascular accident (CVA) were at increased risk of in-hospital mortality (HR, 5.14; 95% CI, 1.06-24.72 and HR, 3.62; 95% CI, 1.25-10.42, respectively). Conclusions: There were no significant differences between the D614G strain and Alpha variant of COVID-19 in terms of clinical characteristics and outcomes. However, factors affecting viral RNA clearance and the risk of in-hospital mortality were identified. These results could help to inform the future prioritization of resource allocation and identify patients in need of intense monitoring.