Inflammasome activation at the crux of severe COVID-19

SM Vora, J Lieberman, H Wu - Nature Reviews Immunology, 2021 - nature.com
The COVID-19 pandemic, caused by severe acute respiratory syndrome coronavirus 2
(SARS-CoV-2), results in life-threatening disease in a minority of patients, especially elderly …

Risk factors for severe and critically ill COVID‐19 patients: a review

Y Gao, M Ding, X Dong, J Zhang, A Kursat Azkur… - Allergy, 2021 - Wiley Online Library
The pandemic of coronavirus disease 2019 (COVID‐19), caused by the severe acute
respiratory syndrome coronavirus 2 (SARS‐CoV‐2), has caused an unprecedented global …

Chest CT score in COVID-19 patients: correlation with disease severity and short-term prognosis

M Francone, F Iafrate, GM Masci, S Coco, F Cilia… - European …, 2020 - Springer
Objectives To correlate a CT-based semi-quantitative score of pulmonary involvement in
COVID-19 pneumonia with clinical staging of disease and laboratory findings. We also …

Applications of machine learning and artificial intelligence for Covid-19 (SARS-CoV-2) pandemic: A review

S Lalmuanawma, J Hussain, L Chhakchhuak - Chaos, Solitons & Fractals, 2020 - Elsevier
Background and objective During the recent global urgency, scientists, clinicians, and
healthcare experts around the globe keep on searching for a new technology to support in …

A narrative systematic review of the clinical utility of cycle threshold values in the context of COVID-19

SN Rao, D Manissero, VR Steele, J Pareja - Infectious diseases and …, 2020 - Springer
Background The ability to predict likely prognosis and infectiousness for patients with COVID-
19 would aid patient management decisions. Diagnosis is usually via real-time PCR, and it …

[HTML][HTML] Secondary infections in patients hospitalized with COVID-19: incidence and predictive factors

M Ripa, L Galli, A Poli, C Oltolini, V Spagnuolo… - Clinical Microbiology …, 2021 - Elsevier
Objectives The aim of our study was to describe the incidence and predictive factors of
secondary infections in patients with coronavirus disease 2019 (COVID-19). Methods This …

[HTML][HTML] Mutations in SARS-CoV-2: Insights on structure, variants, vaccines, and biomedical interventions

AI Abulsoud, HM El-Husseiny, AA El-Husseiny… - Biomedicine & …, 2023 - Elsevier
COVID-19 is a worldwide pandemic caused by SARS-coronavirus-2 (SARS-CoV-2). Less
than a year after the emergence of the Covid-19 pandemic, many vaccines have arrived on …

SARS-CoV-2 engages inflammasome and pyroptosis in human primary monocytes

AC Ferreira, VC Soares… - Cell death …, 2021 - nature.com
Infection by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been
associated with leukopenia and uncontrolled inflammatory response in critically ill patients …

Comparing machine learning algorithms for predicting COVID-19 mortality

K Moulaei, M Shanbehzadeh… - BMC medical informatics …, 2022 - Springer
Background The coronavirus disease (COVID-19) hospitalized patients are always at risk of
death. Machine learning (ML) algorithms can be used as a potential solution for predicting …

Older age and comorbidity are independent mortality predictors in a large cohort of 1305 COVID‐19 patients in Michigan, United States

Z Imam, F Odish, I Gill, D O'Connor… - Journal of internal …, 2020 - Wiley Online Library
Introduction Higher comorbidity and older age have been reported as correlates of poor
outcomes in COVID‐19 patients worldwide; however, US data are scarce. We evaluated …