Integration of metabolomics methodologies for the development of predictive models for mortality risk in elderly patients with severe COVID-19

Integration of metabolomics methodologies for the development of predictive models for mortality risk in elderly patients with severe COVID-19

Abstract Background The rapid evolution of the COVID-19 pandemic and subsequent global immunization efforts have rendered early metabolomics studies potentially outdated, as they primarily involved non-exposed, non-vaccinated populations. This paper presents a predictive model developed from up-to-d...

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Bibliographic Details
Main Authors: Shanpeng Cui, Qiuyuan Han, Ran Zhang, Siyao Zeng, Ying Shao, Yue Li, Ming Li, Wenhua Liu, Junbo Zheng, Hongliang Wang
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BMC Infectious Diseases
Subjects:
COVID-19
Metabolomics
Machine learning
Mortality
Predictive model
Online Access:https://doi.org/10.1186/s12879-024-10402-3
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https://doi.org/10.1186/s12879-024-10402-3

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