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Predicting Postoperative Outcomes Using Real-Time Blood Pressure Waveform Assessment During Non-Cardiac Surgery

Team Members:
  • Natasha Palamuttam
  • YoungGeun Choi
  • Michael Diamreyan
  • Simon Liu
  • Seong Jae Park
  • Sebastian Salazar
  • Lee Goeddel
  • Rishi Patel
  • Kirby Gong
  • Indranuj Gangan
  • Raimond L. Winslow
  • Joseph L. Greenstein


Intraoperative blood pressure is a valuable measurement correlated with various postoperative outcomes such as acute kidney injury and mortality. Literature shows that assessments of intraoperative blood pressure curves to determine time under a certain mean arterial pressure (MAP) and metrics of blood pressure variability are associated with 30-day postoperative mortality after noncardiac surgery. Additionally, other studies have shown that the slope of systolic and diastolic blood pressure curves correlate to physiologic vascular stiffness. In this study, we use intraoperative blood pressure and its derived features (MAP, blood pressure variability, and vascular stiffness index) to predict the postoperative outcomes in real-time during the surgery. We hope that in the future our model will be useful for providing guidance on blood pressure maintenance in-surgery.


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