Retrospective analysis identifies key predictors of MACE in acute myocardial infarction patients, suggesting personalized risk assessment using sST2 and HALP score.
Key Points
The nomogram effectively predicts major adverse cardiovascular events (MACE) after PCI in acute myocardial infarction patients, enhancing risk stratification.
Key independent predictors for MACE include high sST2 levels, low HALP scores, and clinical factors like LDL-C and LVEDD, underlining their significance.
Performance metrics showed an area under the curve (AUC) of 0.833, with a sensitivity of 87.3% and specificity of 68.7%, highlighting the model's effectiveness.
Bootstrap validation confirmed the nomogram's calibration, suggesting it is a reliable tool for individualized patient risk assessment.