A Novel Prediction Model of COVID-19 Progression: A Retrospective Cohort Study.

Introduction: Estimating the risk of disease progression is of utmost importance for planning appropriate setting of care and treatment for patients with coronavirus disease 2019 (COVID-19). This study aimed to develop and validate a novel prediction model of COVID-19 progression.

Methods: In total, 814 patients in the training set were included to develop a novel scoring system; and 420 patients in the validation set were included to validate the model.

Dynamic changes in coagulation parameters and correlation with disease severity and mortality in patients with COVID-19.

Objective: This study aimed to describe the dynamic changes of coagulation parameters and evaluate the relationship between longitudinal coagulation parameters abnormalities and prognosis of COVID-19 patients.

Methods: We performed a retrospective study of 1131 COVID-19 patients. Longitudinal coagulation parameters and clinical outcomes were analyzed.

Efficacy Evaluation of Thymosin Alpha 1 in Non-severe Patients With COVID-19: A Retrospective Cohort Study Based on Propensity Score Matching.

Thymosin alpha 1 (Thymosin-α1) is a potential treatment for patients with COVID-19. We aimed to determine the effect of Thymosin-α1 in non-severe patients with COVID-19. We retrospectively enrolled 1,388 non-severe patients with COVID-19.

A Novel Prediction Model for Long-Term SARS-CoV-2 RNA Shedding in Non-Severe Adult Hospitalized Patients with COVID-19: A Retrospective Cohort Study.

Introduction: Due to the lack of clear direction (evidence) on the duration of viral shedding and thus potential for transmission, this retrospective study aimed to come up with a prediction model of prolonged coronavirus disease-19 (COVID-19) transmission or infection-spreading potential.

Methods: A total of 1211 non-severe patients with COVID-19 were retrospectively enrolled. Multivariate Cox regression was performed to identify the risk factors associated with long-term SARS-CoV-2 RNA shedding, and a prediction model was established.

[Root habitat flexibility of seabuckthorn in the Pisha sandstone area].

We examined root fractal parameters, root length, root quantity, root mass, root-shoot ratio of 3-year-old seabuckthorn in the Pisha sandstone area of Inner Mongolia, using the fractal theory and statistical method. The results showed that soil moisture had the most significant effect on the root architecture, followed by slope. Slope position had the least effect on the root architecture.