Prediction of COVID-19 in-hospital mortality in older patients using artificial intelligence: a multicenter study

Beyond variables reflecting the severity of COVID-19 disease failure, pre-morbid mobility level was the strongest factor associated with in-hospital mortality reflecting the importance of functional status as a synthetic measure of health in older adults, while the association between derived neutrophil-to-lymphocyte ratio and mortality, confirms the fundamental role played by neutrophils in SARS-CoV-2 disease.

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Publication Details

Journal
Frontiers in Aging
Published
2024-10-17
DOI
https://doi.org/10.3389/fragi.2024.1473632
Citations
6
Primary Topic
COVID-19 Clinical Research Studies
Type
article
Field-Weighted Citation Impact
2.33

Funders

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article

Prediction of COVID-19 in-hospital mortality in older patients using artificial intelligence: a multicenter study

Antonio Cherubini, Stefano Volpato, Anna Rita Bonfigli, Giuseppina Dell’Aquila et al.
6 citations
Frontiers in Aging
COVID-19 Clinical Research Studies
2.33
article

Prediction of COVID-19 in-hospital mortality in older patients using artificial intelligence: a multicenter study

Antonio Cherubini, Stefano Volpato, Anna Rita Bonfigli, Giuseppina Dell’Aquila, Fabio Salvi, Raffaele Antonelli Incalzi, Jacopo Sabbatinelli, Caterina Trevisan, Massimiliano Fedecostante, Olivieri Fabiola, Fabio Monzani, Stefano Fumagalli
article en
6 citations

Abstract

Beyond variables reflecting the severity of COVID-19 disease failure, pre-morbid mobility level was the strongest factor associated with in-hospital mortality reflecting the importance of functional status as a synthetic measure of health in older adults, while the association between derived neutrophil-to-lymphocyte ratio and mortality, confirms the fundamental role played by neutrophils in SARS-CoV-2 disease.

Frontiers in AgingVol. 5
Marche Polytechnic University (IT), Università Campus Bio-Medico (IT), University of Ferrara (IT), Istituti di Ricovero e Cura a Carattere Scientifico (IT), Istituto Nazionale di Riposo e Cura per Anziani (IT), University of Florence (IT)
Ministero della Salute
Good health and well-being
Openalex Percentile: Top 11%
COVID-19 Clinical Research Studies
2.33
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Prediction of COVID-19 in-hospital mortality in older patients using artificial intelligence: a multicenter study — Antonio Cherubini, Stefano Volpato, et al. · Frontiers in Aging (2024) | TGRS Research Map | TGRS