Myocarditis prediction in locally advanced or metastatic lung cancer patients with cardiac parameters abnormalities undergoing immunotherapy: development and validation of a risk assessment model
This study establishes a validated risk assessment model integrating cardiac biomarkers (α-HBDH, CK-MB, hs-cTnT, NT-proBNP) and Caprini risk score to predict ICI-related myocarditis in lung cancer patients with cardiac abnormalities. The tool facilitates early identification of high-risk patients, enabling tailored monitoring and preemptive management. These findings underscore the critical role of baseline cardiac profiling in optimizing immunotherapy safety.
Authors
- Xiangjiao Meng (ORCID: https://orcid.org/0000-0001-7380-5510)
- Shanshan Li (ORCID: https://orcid.org/0000-0003-4117-3648)
- Qiang Wang (ORCID: https://orcid.org/0000-0001-6458-9764)
- Yan Zhang (ORCID: https://orcid.org/0000-0002-5027-6430)
- Feng Du (ORCID: https://orcid.org/0000-0003-4708-5075)
- Jianjian Dou
Institutions
- Shandong University (CN)
- Shandong Tumor Hospital (CN)
- Central Hospital of Zibo (CN)
- Shandong First Medical University (CN)
Publication Details
- Journal
- BMC Cancer
- Published
- 2025-03-25
- DOI
- https://doi.org/10.1186/s12885-025-13943-1
- Citations
- 2
- Primary Topic
- Viral Infections and Immunology Research
- Type
- article
- Field-Weighted Citation Impact
- 2.78