This study aims to investigate the clinical classification and outcome-related biomarkers of immune checkpoint inhibitor (ICI)-related myocarditis in patients with lung cancer.A total of 50 patients with ICI-related myocarditis will be enrolled, including 25 with severe/critical myocarditis and 25 with subclinical/mild myocarditis. Blood samples will be collected at baseline and at follow-up time points (3 days, 7 days, and before discharge). Traditional myocardial injury markers, iron metabolism-related markers, and immunological markers will be measured and compared between groups. Changes in biomarkers after treatment will also be assessed. Clinical information such as in-hospital mortality and 3-month survival rates will be integrated to develop a severity assessment model. This model aims to evaluate disease severity and prognostic risk accurately by combining biomarkers, enhancing their application in clinical management.
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The correlation between the dynamic changes in biomarker combinations and disease severity.
Timeframe: Up to 3 months
Predictive performance of the severity assessment model
Timeframe: Up to 3 months