CIPHER - HPI Study
Research type
Research Study
Full title
Continuously Iterative Perioperative Holistic Evaluation of Risk and Hypotension Prediction Index Study
IRAS ID
291640
Contact name
M Grocott
Contact email
Sponsor organisation
University Hospital Southampton
Duration of Study in the UK
5 years, 0 months, 2 days
Research summary
We know that some patients have a prolonged and difficult recovery after major surgery, which impacts their long-term health and wellbeing. A major issue is that scores for predicting recovery can typically only be used once before surgery, but the likelihood of postoperative problems can change based on subsequent events. One such event appears to be low blood pressure (hypotension). As such, we think that modifying preoperative scores using a measure of blood pressure instability (Hypotension Prediction Index) during and immediately after surgery may improve the accuracy of scores for predicting postoperative problems.
To explore this, we will collect information about the health and care needs, surgery and postoperative recovery of adult patients’ requiring major surgery. This data will be taken from hospital information systems, bedside monitors, test reports, a questionnaire and National Databases. We will then use statistical models to determine whether hypotension prediction index improves the accuracy of preoperative scores for predicting postoperative problems.
Ultimately, we hope to create a tool for predicting how well a patient will recover based on the available information at any given point in time. Patient and healthcare professionals will be able to use this tool to inform shared risk based decision making, and to promote recovery after surgery.
REC name
London - Camden & Kings Cross Research Ethics Committee
REC reference
21/LO/0174
Date of REC Opinion
24 Mar 2021
REC opinion
Further Information Favourable Opinion