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Predicting Readmissions Using Omics, Biostatistical Evaluate and Artificial Intelligence

RECRUITINGSponsored by Institute for Clinical Evaluative Sciences
Actively Recruiting
SponsorInstitute for Clinical Evaluative Sciences
Started2019-02-01
Est. completion2024-09-30
Eligibility
Age18 Years – 105 Years
Healthy vol.Accepted
View on ClinicalTrials.gov →

NCT05028686

Summary

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.

Eligibility

Age: 18 Years – 105 YearsHealthy volunteers accepted
Inclusion Criteria:

* 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 Criteria:

* 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.

Conditions2

Heart DiseaseHeart Failure

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Trial data from ClinicalTrials.gov. Trial status and eligibility can change — verify directly with the study contact or on ClinicalTrials.gov.

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