MAPS part 2
Research type
Research Study
Full title
Multi-paraneter Anaesthetic Physiological Signals analysis (part 2)
IRAS ID
148807
Contact name
David Marshall
Contact email
Sponsor organisation
Cardiff University
Duration of Study in the UK
2 years, 0 months, 0 days
Research summary
Heart failure is clinically significant because typically 2% of hospital patients are liable to it but only half are previously diagnosed before decompensating with consequent additional mortality and costs. Early management can therefore save both lives and costs to the NHS.
We intend to explore if computational analysis of the arterial waveform in association with other discrete data, would yield features that may be useful as a future diagnostic tool for surgical patients who have not been previously diagnosed as having heart failure.
Steps of study are: 1. Export and anonymise routinely monitored physiological waveform data in theatres and ITU from NHS servers; 2. Apply and refine computational algorithms originally developed on MIMIC data to extract features from these waveforms; 3. Compare temporal change in waveform features within the same patient to identify transition points in the patient’s physiological state; 4. Validate transition points by mapping to clinical interventions;
REC name
West of Scotland REC 3
REC reference
14/WS/1143
Date of REC Opinion
15 Jan 2015
REC opinion
Further Information Favourable Opinion