Heart Failure in Norway: Clinical Characteristics, Mortality and Health Care Resource Use

May 19, 2020 updated by: Torbjorn Omland, University Hospital, Akershus

Heart Failure in Norway: Combining Artificial Intelligence and a Database of 15000 Patients to Understand Clinical Characteristics, Mortality and Health Care Resource Use

The prevalence of Heart failure above 70 years of age is 10% and 5 year mortality rate above 60%, higher than for cancer. The readmission rate first after hospitalisation is 44% despite the availability of life prolonging and life quality enhancing treatment. There is a lack of resources for adequate diagnostic workup necessary for implementing evidence-based treatment. This projects aims at assessing the impact of guidelines based diagnostic workup and guidelines based treatment of heart failure on mortality and readmission rates. As the symptoms defining the degree of heart failure and the discharge medication only is available in the electronic patient files, artificial intelligence is used to retrieve this information to assess if treatment is according to guidelines.

The project is using first a rule based text processing approach using IBM Watson, then advancing to a machine learning approach using readmission and mortality as endpoints.

The project has access to digitally stored echocardiographic measurements as well as digital ECG's and lab data on 15 000 patients admitted with a diagnosis of Heart failure. If the retrieval of symptoms and function by artificial intelligence is successful, the next step is to assess if those benefitting the most from echocardiography can be identified using information from the ECG's, lab data or symptoms and functional capacity as described in the Electronic Health Records.

Study Overview

Study Type

Observational

Enrollment (Actual)

14998

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Lørenskog, Norway
        • Akershus University Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Probability Sample

Study Population

All patients admitted to a University Hospital serving a population of approx. 600 000 inhabitants with heart failure diagnosis in the period 2007 to 2019. In total 14998 patients. Mortality according to The Norwegian Death Registry for all up until 31st of December 2019. In addition all patients with a diagnosis of COPD in the same period as well as all subjects with NT-proBNP above age specific normal range

Description

Inclusion Criteria: Diagnosis with ICD10 codes as follows; I50.*, I42.3, I11.* and COPD J44.* from 2007 through 2019.

In addition all subjects with NT-proBNP above age specific normal range in same period.

Exclusion Criteria:

none

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Cohort
  • Time Perspectives: Retrospective

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Mortality
Time Frame: Change over 12 years
1 year mortality rate after first diagnosis of heart failure
Change over 12 years
Readmission
Time Frame: Change over 12 years
30 days and 1 year readmission rate
Change over 12 years

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Diagnostic work up according to guidelines
Time Frame: Within 6 months before or after first diagnosis
Proportion with echocardiography and other necessary investigations
Within 6 months before or after first diagnosis
Treatment according to guidelines
Time Frame: within first year after first diagnosis
Proportion treated according to guidelines
within first year after first diagnosis

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Collaborators

Investigators

  • Principal Investigator: Henrik Schirmer, MD, PhD, University Hospital, Akershus

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

January 20, 2020

Primary Completion (Anticipated)

June 1, 2021

Study Completion (Anticipated)

December 1, 2023

Study Registration Dates

First Submitted

May 19, 2020

First Submitted That Met QC Criteria

May 19, 2020

First Posted (Actual)

May 21, 2020

Study Record Updates

Last Update Posted (Actual)

May 21, 2020

Last Update Submitted That Met QC Criteria

May 19, 2020

Last Verified

May 1, 2020

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 2019/833 (REK)

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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