Objective To review and appraise the validity and usefulness of published and preprint
reports of prediction models for prognosis of patients with covid-19, and for detecting people …

Background The prevalence of bacterial infection in patients with COVID-19 is low, however,
empiric antibiotic use is high. Risk stratification may be needed to minimize unnecessary …

SARS-CoV-2 infection shows a wide-ranging clinical severity, requiring prognostic markers.
We focused on S100B, a calcium-binding protein present in biological fluids, being a …

Introduction: Given the ongoing coronavirus disease 2019 (COVID-19) pandemic and the
consequent global healthcare crisis, there is an urgent need to better understand risk factors …

Background: The world urgently requires surrogate markers to diagnose COVID-19 and
predict its progression. The severity is not easily predicted via currently used biomarkers …

Background: Predicting the clinical trajectory of individual patients hospitalized with
coronavirus disease 2019 (COVID-19) is challenging but necessary to inform clinical care …

Background COVID-19 is infrequently complicated by bacterial co-infection, but antibiotic
prescriptions are common. We used community-acquired pneumonia (CAP) as a benchmark …

Objectives Severe systemic inflammation associated with some stages of COVID-19 and in
fatal cases led therapeutic agents developed or used frequently in Rheumatology being at …

Background A small minority of people with coronavirus disease 2019 (COVID‐19) develop
a severe illness, characterised by inflammation, microvascular damage and coagulopathy …

In this study, we compare the predictive value of clinical scoring systems that are already in
use in patients with Coronavirus disease 2019 (COVID-19), including the Brescia-COVID …