DataTools4Heart: federated patient data analysis for research v1
Research type
Research Study
Full title
Treatment, referral pathways and prognosis of patients with heart failure: a federated cohort study across multiple European Hospitals (DataTools4Heart)
IRAS ID
330100
Contact name
Anoop Shah
Contact email
Sponsor organisation
University College London Joint Research Office (part of Research Directorate)
Clinicaltrials.gov Identifier
Z6364106/2023/06/35 social research, Data protection registration
Duration of Study in the UK
2 years, 11 months, 30 days
Research summary
In heart failure, the patient’s heart is not able to pump blood around sufficiently, leading to symptoms such as shortness of breath and fluid retention. Patients with heart failure often also have chronic kidney disease. In this situation, it is difficult to find the best dose of medication to use, as patients are at risk of complications. It is also difficult to know which patients can be safely treated at home and which patients need to be admitted to hospital for closer monitoring.
In this study, we aim to use real word clinical data to evaluate the prescription of medication in patients with chronic kidney disease who are hospitalized with heart failure. This will lead to improved knowledge of the current implementation of clinical treatment guidelines. Secondly, we aim to develop a risk score for patients admitted with heart failure. This may help clinicians may help the clinician to decide if a patient should be admitted or managed at home, and what level of monitoring is required. The risk score could also help to predict and optimise the use of health care resources. Thirdly, we aim to investigate the referral pathway of patients with heart failure attending inpatient or outpatient services.
For these aims, we we will analyse clinical data extracted from the electronic health record for patients at University College London Hospitals. Findings from these data will be combined with findings from patient data at other European hospitals. This will be carried out using a federated learning approach, in which data is analysed within each hospital and the results are combined without any data leaving the individual hospital. This will allow research questions to be answered robustly using data from a large, diverse patient population whilst maintaining the security and privacy of patient data.
REC name
South West - Central Bristol Research Ethics Committee
REC reference
23/SW/0133
Date of REC Opinion
8 Nov 2023
REC opinion
Favourable Opinion