Clinical and CT image features for survival prediction in severe pneumonia during the SARS-CoV-2 Omicron wave

This study identifies a distinct combination of clinical and CT imaging features (pleural effusion, cardiac enlargement, low SpO2, elevated SAA, elevated GLU, low Ca) as key independent prognostic factors for survival in severe Omicron pneumonia. The predictive tool based on this feature combination shows significant clinical utility. These preliminary findings provide critical insights for early risk assessment and targeted management, facilitating improved patient prognosis.

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Publication Details

Journal
Frontiers in Medicine
Published
2026-01-09
DOI
https://doi.org/10.3389/fmed.2025.1663710
Primary Topic
COVID-19 Clinical Research Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Clinical and CT image features for survival prediction in severe pneumonia during the SARS-CoV-2 Omicron wave

Lei Zhao, Fengxian Jiang, Jingjiang Lai, Teng Wang et al.
Frontiers in Medicine
COVID-19 Clinical Research Studies
article

Clinical and CT image features for survival prediction in severe pneumonia during the SARS-CoV-2 Omicron wave

Lei Zhao, Fengxian Jiang, Jingjiang Lai, Teng Wang, Guobin Fu, Jingliang Wang, Wei Xu, Cuiyan Wang
article en

Abstract

This study identifies a distinct combination of clinical and CT imaging features (pleural effusion, cardiac enlargement, low SpO2, elevated SAA, elevated GLU, low Ca) as key independent prognostic factors for survival in severe Omicron pneumonia. The predictive tool based on this feature combination shows significant clinical utility. These preliminary findings provide critical insights for early risk assessment and targeted management, facilitating improved patient prognosis.

Frontiers in MedicineVol. 12
Shandong Provincial Hospital (CN)
Beijing Xisike Clinical Oncology Research Foundation, National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 95%
COVID-19 Clinical Research Studies
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