Predicting and Understanding Delirium in Intensive Care - Version 1.0
Research type
Research Study
Full title
Development of tools for predicting and understanding delirium in Intensive Care patients using Electronic Health Record data: A single-centre, retrospective cohort study
IRAS ID
271736
Contact name
Robert J B Goudie
Contact email
Sponsor organisation
Cambridge University Hospitals NHS Foundation Trust
Clinicaltrials.gov Identifier
researchregistry5154, Protocol registration; HVS/2019/2706, Insurance ref
Duration of Study in the UK
3 years, 2 months, 31 days
Research summary
Delirium is a disorder in which there is disturbance of attention and cognition as a consequence of a medical condition. It is traumatic for the patient (and their relatives) and occurs in around 40% of Intensive Care Unit (ICU) patients.
Ideally, we would like to be able to prevent delirium developing in patients admitted to ICU. While some preventative measures for ICU delirium can be provided routinely for all patients, others have side effects or are expensive, so it may be inappropriate to provide these routinely for all patients. Instead, it would be best if we could identify whether each patient is at high risk of developing ICU delirium so that each patient can be treated appropriately. Several tools that aim to predict the risk of developing delirium have been developed, but we have found that these do not provide accurate predictions for the ICU patients admitted to the general ICU at this UK teaching hospital. Our primary objective is thus to develop a tool that predicts ICU delirium risk accurately for these patients, using anonymous data extracted from the Electronic Health Records of adults previously admitted to the ICU.
REC name
South Central - Oxford C Research Ethics Committee
REC reference
19/SC/0541
Date of REC Opinion
16 Oct 2019
REC opinion
Favourable Opinion