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.
Authors
- Lei Zhao (ORCID: https://orcid.org/0000-0003-0973-8653)
- Fengxian Jiang
- Jingjiang Lai
- Teng Wang
- Guobin Fu
- Jingliang Wang
- Wei Xu
- Cuiyan Wang
Institutions
- Shandong Provincial Hospital (CN)
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
Funders
- Beijing Xisike Clinical Oncology Research Foundation
- National Natural Science Foundation of China