Surgery--Complications
Conditions
Keywords
Perioperative medicine, Risk, Predictive analytics, Hypotension Prediction Index, Observational cohort
Brief summary
The investigators would like to explore whether Hypotension Prediction Index during and immediately after surgery can be used to improve the accuracy of scores that predict postoperative problems.
Detailed description
It is known 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 are typically generated only once in the period before surgery, but subsequent events during and immediately after surgery can also alter the likelihood of a prolonged and difficult recovery. One such event appears to be low blood pressure (hypotension). Hypotension Prediction Index can be calculated from routine blood pressure measurements, and is an indicator of blood pressure instability. The investigators propose that Hypotension Prediction Index during and immediately after surgery may be used to improve their accuracy of scores that predict postoperative problems. To explore this, the investigators 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, a bedside monitor, test reports, a questionnaire and National Databases. The investigators will then use statistical models to determine whether Hypotension Prediction Index improves the accuracy of preoperative scores for predicting postoperative problems. Ultimately, the investigators hope to create a tool for predicting how well a patient will recover based on the information available at any given point in time. Healthcare professionals will be able to use this tool to identify and support the needs of patients who need extra help recovering from major surgery.
Interventions
HemoSphere Clinical Platform with Acumen Hypotension Prediction Index Feature
Sponsors
Edwards Lifesciences
University of Southampton
University Hospital Southampton NHS Foundation Trust
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
Patients who: 1. are referred for CPET 2. are scheduled for elective surgery and expected to have \>24 hours postoperative hospital stay 3. will receive invasive arterial pressure monitoring as part of routine care 4. are aged 18 or over 5. have the capacity to give consent to participate
Exclusion criteria
Patients who: 1. do not proceed to surgery following CPET referral 2. are aged less than 18 years 3. do not have capacity to consent 4. decline to consent
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Days alive and out of hospital | Day 30 | Number of days that the participant is alive and out of hospital |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Complications | From the date and time of surgery until hospital discharge | Whether or not a participant develops complications as measured using Clavien Dindo |
| Number of nights that a participant spends at home | Day 30 and 90 | — |
| Mortality | Day 30 and 1 year | Number of participants who die within 30 days or 1 year of surgery |
| Quality of Recovery - 15 score (QoR-15) | Day 90 | A 15 question survey, where a number of different items are scored on a 10 point numeric scale. Higher scores represent better outcomes as reported by the participant |
| Return to pre-surgery functioning | Day 90 | Participants ability to return to work or usual home activities as measured by item 8 of the Quality of Recovery - 15 score. This will be scored on a 10 point numeric scale. Higher scores represent better outcomes as reported by the patient. |
| Morbidity | Day 5 | Whether or not a participant has morbidity as measured using the post operative morbidity survey |
| Hospital length of stay | Between the date of surgery and hospital discharge (primary admission) | Number of nights spent in hospital |
| Hospital readmission | 30 days | Readmission to hospital following discharge |
| Total length of hospital stay | 30 days | Number of nights spent in hospital |
| Reoperation | Day 30 | Number of unplanned operations |
| Total length of critical care stay | First 30 days after surgery | Number of nights spent in Critical Care |
Contacts
Primary ContactJames Badger
Backup ContactProfessor M Grocott
Outcome results
None listed