A predictive model for adverse events in left heart failure patients based on cardiopulmonary ultrasound parameters and clinical predictors
Background Left heart failure (LHF) is the most common in clinical setting and is more likely to experience adverse cardiovascular events. This study aims to establish a predictive nomogram of adverse events based on cardiopulmonary ultrasound (CPUS) parameters and clinical predictors for LHF patients. And the predicti...