Coronary Artery Bypass Grafting (CABG) is the most common form of open-heart surgery in the United States and is performed hundreds of thousands of times annually. This surgery can be performed via on-pump, which utilizes a machine to keep the heart beating, or off-pump, where the patient’s heart beats like normal. One of the main complications associated with CABG is acute kidney injury (AKI) which has a high mortality rate, making our research goals to identify the important risk factors behind why a patient would experience acute kidney injury, and to compare the on-pump and off-pump surgical techniques. We used datasets from Mayo Clinic comprised of approximately 2000 patients and several hundred features. We analyzed this dataset using several statistical models, including Random Forest, XGBoost, and Propensity Analysis, with Inverse Probability of Treatment Weighting (IPTW) as our propensity analysis technique. From this analysis, we gathered a list of key features which can predict if a patient will experience AKI when performed with the on-pump method. We also found that there was no statistically significant difference in success rates of the on-pump and off-pump techniques, however the high imbalance in the dataset requires further investigation. Mayo Choice Award: Our project is intended to help patient outcomes by providing physicians with key predictors of whether a patient will experience AKI or not during surgery. The physician will then be able to make a better-informed decision about whether the surgery should be performed given the patient’s characteristics and associated risk factors.
