Development of a long noncoding RNA-based machine learning model to predict COVID-19 in-hospital mortality
Devaux, Yvan (Luxembourg Institute of Health)
Zhang, Lu (Luxembourg Institute of Health (Luxemburg))
Lumley, Andrew I. (Luxembourg Institute of Health (Luxemburg))
Karaduzovic-Hadziabdic, Kanita (International University of Sarajevo (Bòsnia i Hercegovina))
Mooser, Vincent (McGill University (Canadà))
Rousseau, Simon (McGill University (Canadà))
Shoaib, Muhammad (University of Luxembourg (Luxemburg))
Satagopam, Venkata (University of Luxembourg (Luxemburg))
Adilovic, Muhamed (International University of Sarajevo (Bòsnia i Hercegovina))
Srivastava, Prashant Kumar (Imperial College London)
Emanueli, Costanza (Imperial College London)
Martelli, Fabio (IRCCS Policlinico San Donato (Itàlia))
Greco, Simona (IRCCS Policlinico San Donato (Itàlia))
Badimon, Lina (Institut de Recerca Sant Pau)
Padró, Teresa (Institut de Recerca Sant Pau)
Lustrek, Mitja (Jozef Stefan Institute (Eslovènia))
Scholz, Markus (University of Leipzig (Leipzig, Saxònia))
Rosolowski, Maciej (University of Leipzig (Leipzig, Saxònia))
Jordan, Marko (Jozef Stefan Institute (Eslovènia))
Brandenburger, Timo (Medical University of Dusseldorf (Dusseldorf, Alemanya))
Benczik, Bettina (Semmelweis University (Budapest, Hongria))
Ágg, Bence (Semmelweis University (Budapest, Hongria))
Ferdinandy, Péter (HUN-REN-SU Semmelweis University (Budapest, Hongria))
Vehreschild, Jörg Janne (German Centre for Infection Research (DZIF))
Lorenz-Depiereux, Bettina (Helmholtz Center Munich (Munich, Alemanya))
Dörr, Marcus (German Centre of Cardiovascular Research (Koln, Alemanya))
Witzke, Oliver (University of Duisburg-Essen (Essen, Alemanya))
Sanchez, Gabriel (Firalis SA (Huningue, França))
Kul, Seval (Firalis SA (Huningue, França))
Baker, Andrew (University of Maastricht (Maastricht, Països Baixos))
Fagherazzi, Guy (Luxembourg Institute of Health (Strassen, Luxemburg))
Ollert, Markus W. (University of Southern Denmark (Dinamarca))
Wereski, Ryan (The University of Edinburgh)
Mills, Nicholas L. (The University of Edinburgh)
Firat, Hüseyin (Firalis SA (Huningue, França))
Universitat Autònoma de Barcelona

Data:	2024
Resum:	Tools for predicting COVID-19 outcomes enable personalized healthcare, potentially easing the disease burden. This collaborative study by 15 institutions across Europe aimed to develop a machine learning model for predicting the risk of in-hospital mortality post-SARS-CoV-2 infection. Blood samples and clinical data from 1286 COVID-19 patients collected from 2020 to 2023 across four cohorts in Europe and Canada were analyzed, with 2906 long non-coding RNAs profiled using targeted sequencing. From a discovery cohort combining three European cohorts and 804 patients, age and the long non-coding RNA LEF1-AS1 were identified as predictive features, yielding an AUC of 0. 83 (95% CI 0. 82-0. 84) and a balanced accuracy of 0. 78 (95% CI 0. 77-0. 79) with a feedforward neural network classifier. Validation in an independent Canadian cohort of 482 patients showed consistent performance. Cox regression analysis indicated that higher levels of LEF1-AS1 correlated with reduced mortality risk (age-adjusted hazard ratio 0. 54, 95% CI 0. 40-0. 74). Quantitative PCR validated LEF1-AS1's adaptability to be measured in hospital settings. Here, we demonstrate a promising predictive model for enhancing COVID-19 patient management.
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	Epidemiology ; Predictive markers ; Prognostic markers ; SARS-CoV-2
Publicat a:	Nature communications, Vol. 15 Núm. 1 (december 2024) , p. 4259, ISSN 2041-1723

DOI: 10.1038/s41467-024-47557-1
PMID: 38769334

12 p, 1.6 MB

El registre apareix a les col·leccions:
Documents de recerca > Documents dels grups de recerca de la UAB > Centres i grups de recerca (producció científica) > Ciències de la salut i biociències > Institut de Recerca Sant Pau
Articles > Articles de recerca
Articles > Articles publicats