Risk prediction model construction for heart failure after myocardial infarction by immune B cells in blood

Abstract With a high prevalence of morbidity and mortality, myocardial infarction (MI) is a prevalent heart disease. The development and outcomes of post-MI heart failure (HF) continue to be a major factor in the poor post-MI prognosis despite the extensive medical treatment for MI. There are currently few indicators that can accurately predict post-MI heart failure. In this study, we re-examined single cell RNA-seq and bulk RNA-seq datasets collected from peripheral blood samples of myocardial infarction and dataset of patients who developed heart failure or heart failure did not occur after myocardial infarction. We discovered a subtype of immune-activation B cell which is associated with the discrimination of post-MI HF and nonHF patients. Such finding was further validated in independent corhorts using PCR. By incorporating the specific marker genes of the B subtype, we developed a prediction model with 13 markers that can predict the HF risk of myocardial infarction patients and provide useful clinical experience and tools.