Traditional research methods have largely failed to advance an understanding of complications of cardiac surgery. We aim to use large-scale data to investigate whether metabolic and genetic factors can help predict cardiac surgery complications, then use this new understanding to streamline therapeutic development. We will:
- Enhance our existing database on around 20,000 cardiac surgery patients through collecting blood, fluid and tissue samples from all consenting cardiac surgery patients. We will collect samples before and during surgery, and up to discharge, producing trial-quality data on the complications and long-term outcomes of heart surgery.
- Use this data to develop predictive guides for complications of cardiac surgery based on patient characteristics, clinical signs, epigenetic and metabolomic We will work with the Translational Population Science (TPS) theme to determine which predictors of complications are known to be related to genetic variants.
- Conduct studies to identify which metabolic and genetic factors have causal effects on complications of cardiac surgery and use those insights to develop new approaches to prevent and treat cardiac surgery complications.