Heart Failure Recorded in Primary Care, Hospital Admissions and National Mortality Registry

September 14, 2015 updated by: University College, London

Capture and Concordance of Heart Failure Recorded in Primary Care, Hospital Admissions and National Mortality Registry: A Cohort Study In 2.1 Million People

The main objectives of this study are i) to assess how heart failure was captured accross different linked electronic health record sources within the CALIBER program and the overlap between primary care, hospital admissions and/or the national mortality register, and ii) to assess risk factors, heart failure treatment and survival in patients, stratified by EHR source.

Study Overview

Status

Unknown

Conditions

Detailed Description

Heart failure (HF) is one of the leading causes of hospital admissions and mortality in modern healthcare systems. It can be viewed as a collective clinical syndrome of many signs and symptoms and is frequently the common endpoint of various heart diseases. Often, it is not diagnosed until it has reached a level whereby quality of life is significantly, and often irreversibly, impaired. Even though vast quantities of National Health Service (NHS) data concerning patients with heart failure are recorded, there are limited 'real world' longitudinal insights about the prognosis and consequences of HF. Although linked electronic health records cohorts such as the CALIBER program become increasingly available, for heart failure the overlap, risk factors and subsequent mortality have not been compared. Previous studies on heart failure using EHR sources have used ICD-9 or 10 codes for the identification of heart failure cases and the prevalence estimates of risk factors and comorbidity. Furthermore, the assessment of supporting information for heart failure present in electronic healthcare registries remains largely unknown. Currently, heart failure is typically inferred based on previous reports or the prescription of heart failure related medication. To strengthen heart failure case ascertainment in large electronic healthcare registries, linkages with primary care data such as what is done in CALIBER could allow more detailed insight in medical history, clinical diagnoses, anthropometric measures, health behaviour, laboratory tests, medical procedures and prescriptions.

In this study, the investigators assessed the distribution of recording, supportive medical information for heart failure diagnosis, risk factors and subsequent mortality of heart failure patients captured in linked EHR data from primary care, hospital admissions and/or death registry.

This study is part of the CALIBER (Cardiovascular disease research using linked bespoke studies and electronic records) programme funded over 5 years from the NIHR and Wellcome Trust. CALIBER has received both Ethics approval (ref 09/H0810/16) and ECC approval (ref ECC 2-06(b)/2009 CALIBER dataset).

Study Type

Observational

Enrollment (Anticipated)

100000

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

      • London, United Kingdom, NW1 2DA
        • Farr Institute, University College London

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

Yes

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

From 1 January 1997, all patients aged ≥18 years old, registered in CPRD practices in England consenting to data linkage, with at least one year of up-to-standard pre-study follow-up are potentially eligible.

Description

Inclusion Criteria:

  • Patients with a coded diagnosis for heart failure in primary care or hospital admission
  • Patients with a coded diagnosis for heart failure as a cause of death in the national mortality register
  • Patients in CPRD practices which are deemed "up to standard" for more than 1 year by CPRD criteria.
  • Patients with at least one year of follow-up in the CPRD practice CPRD.

Exclusion Criteria:

  • past medical history of heart failure

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

Cohorts and Interventions

Group / Cohort
Primary care only
Patients with heart failure recorded in primary care and never hospitalized for heart failure
Primary care and secondary care
Patients with heart failure recorded in primary care with at least one record of a heart failure related hospitalization.
Secondary care only
Patients with heart failure recorded in at least one heart failure related hospitalization without a concurrent primary care record.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Venn diagram of heart failure recording by data source
Time Frame: 13 years
Frequency and overlap of heart failure patients recorded in primary care, hospital admissions and as cause of death in the national mortality registry.
13 years

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Heart failure mortality
Time Frame: 5 years
5 year heart failure cause of death following the first recorded heart failure diagnosis
5 years
Cardiovascular mortality
Time Frame: 5 years
The 5 year cardiovascular mortality following the first recorded heart failure diagnosis.
5 years
All-cause mortality
Time Frame: 5 years
The all cause mortality 5 years following the first recorded heart failure diagnosis
5 years

Collaborators and Investigators

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

Collaborators

Investigators

  • Study Chair: Stefan Koudstaal, MD PhD, University College, London
  • Study Director: Folkert W. Asselbergs, MD PhD, University College, London
  • Principal Investigator: Harry Hemingway, PhD, University College, London

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

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

July 1, 2015

Primary Completion (Anticipated)

December 1, 2015

Study Completion (Anticipated)

December 1, 2015

Study Registration Dates

First Submitted

August 11, 2015

First Submitted That Met QC Criteria

September 14, 2015

First Posted (Estimate)

September 16, 2015

Study Record Updates

Last Update Posted (Estimate)

September 16, 2015

Last Update Submitted That Met QC Criteria

September 14, 2015

Last Verified

July 1, 2015

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 14_149SK

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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