Diagnostic test accuracy of cellular analysis of bronchoalveolar lavage fluid in distinguishing pulmonary infectious and non-infectious diseases in patients with pulmonary shadow
BALF NP ≥16% serves as an effective discriminator between pulmonary infectious and non-infectious diseases in patients with pulmonary shadows. We have developed a nomogram model incorporating BALF NP and procalcitonin (PCT), which has proven to be a valuable tool for predicting the risk of pulmonary infections. This model holds significant potential to assist clinicians in making informed treatment decisions.
Authors
- Xiaojian Qiu (ORCID: https://orcid.org/0000-0002-7761-3425)
- Faming Liu (ORCID: https://orcid.org/0000-0002-9589-3379)
- Juan Wang (ORCID: https://orcid.org/0000-0002-0088-020X)
- Ting Wang (ORCID: https://orcid.org/0000-0002-1309-0194)
- Jie Zhang (ORCID: https://orcid.org/0000-0003-1587-503X)
- Jiyang Li
Institutions
- Capital Medical University (CN)
- Beijing Tian Tan Hospital (CN)
- Beijing Chuiyangliu Hospital (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2024-11-20
- DOI
- https://doi.org/10.3389/fmed.2024.1496088
- Citations
- 2
- Primary Topic
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Type
- article
- Field-Weighted Citation Impact
- 0.84