Essentials• TEG‐guided therapy has been shown to be valuable in a number of surgical
settings.• This systematic review and analysis specifically evaluated the effects of TEG …

Introduction Critically ill patients with diabetes are at increased risk for the development of
complications, but the impact of diabetes on mortality is unclear. We conducted a systematic …

Background As the era of big data analytics unfolds, machine learning (ML) might be a
promising tool for predicting clinical outcomes. This study aimed to evaluate the predictive …

Aims and objectives To investigate cardiac self‐efficacy and its predictors among patients
with coronary artery diseases. Background Patients with coronary artery diseases must …

PURPOSE: To investigate the effect of cardiac knowledge and cardiac self-efficacy on health
behaviors after controlling for influences from associating factors of health behaviors in …

Background Machine learning (ML) has shown promising results in all fields of medicine,
including preventive cardiology. Hypertensive patients are at higher risk of mortality after …

Adherence to recommended physical activity after a cardiac event is important to prevent
cardiac recurrence. Social support from peers and family is known to improve self-care in …

Purpose To investigate the characteristics and outcomes of surgical patients who were
readmitted to the intensive care unit (ICU). Methods The data were collected for all …

BACKGROUND: There are limited data on the impact of smoking status on outcomes after
isolated coronary artery bypass graft (CABG) surgery. METHODS: Data obtained …

Introduction Coronary artery bypass grafting forms the bulk of a cardiac surgeon′ s
workload. An extensive amount of research has been undertaken to improve the outcomes …