Predicting Readmissions Using Omics, Biostatistical Evaluate and Artificial Intelligence
Key facts
- Where
- Toronto, CanadaSee the site
Could this be for you?
Answer for yourself. This is not a decision: only the study team can say whether you can take part.
- Are you between 18 and 105 years old?
Source: NCT05028686, who can take part
Where in Canada
- University Health NetworkToronto, CanadaTaking people
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- Institute for Clinical Evaluative Sciences
- Trial code
- NCT05028686
- Record updated
- 2 September 2021
- Original description
This study is a prospective registry that aims to predict readmissions in patients with heart failure, using -omics, machine learning, patient reported outcomes, clinical data and other high-dimensional data sources.Read full original descriptionShow less
This study is a prospective registry that aims to predict readmissions in patients with heart failure, using -omics, machine learning, patient reported outcomes, clinical data and other high-dimensional data sources.
Inclusion: Any patient aged 18 years or older admitted to hospital or seen in the emergency department with heart failure defined clinically; The diagnosis will be guided by the Framingham criteria for HF and/or BNP. A BNP >400 will be defined as definite heart failure and BNP 100-400 classified as possible heart failure; Provides informed consent.
Exclusion: Patients who cannot communicate due to dementia or severe cognitive deficits; non-Ontario residents; nursing home residents; those who are not discharged home but are discharged to a skilled nursing facility (long-term care or chronic institution); those who are unable to communicate who do not have a proxy (e.g. spouse or close family member) to facilitate communication with the patient.