Influencing factors and nomogram model for predicting treatment efficacy in Nocardia farcinica pneumonia
Beyond confirming the role of host immunity and inflammation, this study develops and validates the first nomogram that integrates baseline albumin, empyema, cavitation, and antibiotic choice to quantitatively predict individual treatment failure risk in <i>Nocardia farcinica</i> pneumonia. This tool provides an immediately applicable visual guide for early risk stratification and personalized therapy selection, addressing a significant gap in the management of this complex infection.
Authors
- Lijie Kou
- Qing Mu (ORCID: https://orcid.org/0000-0001-9940-3907)
- Hongyan Ren (ORCID: https://orcid.org/0000-0002-6948-5769)
- Zheng Wang (ORCID: https://orcid.org/0000-0003-4838-0965)
- Yafei Wang
- Xiaoju Zhang
Institutions
- Henan Provincial People's Hospital (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-10-08
- DOI
- https://doi.org/10.3389/fmed.2025.1651397
- Primary Topic
- Actinomycetales infections and treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science and Technology Major Project