Iron metabolism in infections: Focus on COVID-19
D Girelli, G Marchi, F Busti, A Vianello - Seminars in hematology, 2021 - Elsevier
Iron is a micronutrient essential for a wide range of metabolic processes in virtually all living
organisms. During infections, a battle for iron takes place between the human host and the …
organisms. During infections, a battle for iron takes place between the human host and the …
The associations of iron related biomarkers with risk, clinical severity and mortality in SARS-CoV-2 patients: a meta-analysis
S Zhou, H Li, S Li - Nutrients, 2022 - mdpi.com
The coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome
coronavirus 2 (SARS-CoV-2), is spreading rapidly around the world and has led to millions …
coronavirus 2 (SARS-CoV-2), is spreading rapidly around the world and has led to millions …
A comparison of XGBoost, random forest, and nomograph for the prediction of disease severity in patients with COVID-19 pneumonia: implications of cytokine and …
W Hong, X Zhou, S Jin, Y Lu, J Pan, Q Lin… - Frontiers in Cellular …, 2022 - frontiersin.org
Background and Aims The aim of this study was to apply machine learning models and a
nomogram to differentiate critically ill from non-critically ill COVID-19 pneumonia patients …
nomogram to differentiate critically ill from non-critically ill COVID-19 pneumonia patients …
CT-based severity assessment for COVID-19 using weakly supervised non-local CNN
Evaluating patient criticality is the foremost step in administering appropriate COVID-19
treatment protocols. Learning an Artificial Intelligence (AI) model from clinical data for …
treatment protocols. Learning an Artificial Intelligence (AI) model from clinical data for …
Risk of death in comorbidity subgroups of hospitalized COVID-19 patients inferred by routine laboratory markers of systemic inflammation on admission: a …
Our study objective was to construct models using 20 routine laboratory parameters on
admission to predict disease severity and mortality risk in a group of 254 hospitalized COVID …
admission to predict disease severity and mortality risk in a group of 254 hospitalized COVID …
The 123 COVID SCORE: A simple and reliable diagnostic tool to predict in-hospital death in COVID-19 patients on hospital admission
M Ostrowska, M Kasprzak, T Fabiszak, J Gajda… - Plos one, 2024 - journals.plos.org
Background Patients hospitalized due to Coronavirus disease 2019 (COVID-19) are still
burdened with high risk of death. The aim of this study was to create a risk score predicting …
burdened with high risk of death. The aim of this study was to create a risk score predicting …
Development of lab score system for predicting COVID-19 patient severity: A retrospective analysis
A Sarkar, S Sanyal, A Majumdar, DN Tewari… - Plos one, 2022 - journals.plos.org
Aim To develop an accurate lab score based on in-hospital patients' potent clinical and
biological parameters for predicting COVID-19 patient severity during hospital admission …
biological parameters for predicting COVID-19 patient severity during hospital admission …
Obesity and its implications on cerebral circulation and intracranial compliance in severe COVID‐19
S Brasil, AC Renck, FS Taccone… - Obesity Science & …, 2021 - Wiley Online Library
Objective Multiple factors have been identified as causes of intracranial compliance
impairment (ICCI) among patients with obesity. On the other hand, obesity has been linked …
impairment (ICCI) among patients with obesity. On the other hand, obesity has been linked …
Mesenchymal stromal cells and pleiotropic therapeutic advantages in COVID-19 management
VK Singh, UKS Vaksh, P Sharma - Stem Cells, 2024 - Elsevier
The pandemic burst of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) or
coronavirus disease 2019 (COVID-19) infections shattered existing medical and research …
coronavirus disease 2019 (COVID-19) infections shattered existing medical and research …
Learning Clinical Concepts for Predicting Risk of Progression to Severe COVID-19
With COVID-19 now pervasive, identification of high-risk individuals is crucial. Using data
from a major healthcare provider in Southwestern Pennsylvania, we develop survival …
from a major healthcare provider in Southwestern Pennsylvania, we develop survival …