A novel dynamic nomogram based on clinical features and laboratory indicators for diagnosis of post-neurosurgery intracranial infection
We developed an easily applicable nomogram using routinely available indicators. This tool enables early risk stratification for PNICI, facilitating timely interventions that may reduce infection-related complications. However, multicenter prospective validation data are required to further confirm the clinical utility.
Authors
- Kengna Fan
- Tianbin Chen (ORCID: https://orcid.org/0000-0002-9136-2167)
- Minjie Tang (ORCID: https://orcid.org/0000-0002-9320-1367)
- Qingwen Lin
- Weiqing Zhang (ORCID: https://orcid.org/0000-0002-1324-2944)
- Qishui Ou (ORCID: https://orcid.org/0000-0002-9923-3212)
- Qi Wang (ORCID: https://orcid.org/0000-0001-7626-676X)
- Xiaofeng Liu (ORCID: https://orcid.org/0000-0003-1114-2023)
- Zeqin Zhang
Institutions
- Fujian Medical University (CN)
- First Affiliated Hospital of Fujian Medical University (CN)
- Wuhan University of Science and Technology (CN)
Publication Details
- Journal
- Translational Neuroscience
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1515/tnsci-2025-0382
- Primary Topic
- Bacterial Infections and Vaccines
- Type
- article
- Field-Weighted Citation Impact
- 0.00