Survival of patients with heart failure in community (SurviveHF)

Study type
Protocol
Date of Approval
Study reference ID
18_061
Lay Summary

Heart failure (HF) is a common and costly condition affecting around 1 in 100 adults and using up 3- 4% of the NHS budget. Patients can experience breathlessness, have swollen ankles and feel tired however HF can be effectively treated with medication.
In our previous work, using GP records from 1998 to 2012, we found that the length of time people lived for after a diagnosis of HF stayed the same over 15 years and did not improved over time. We want to look at more up to date data to see if this has changed. We want to find out how long people with HF are living for today and if this has got better in the past few years.
We will use the Clinical Practice Research Datalink (CPRD) - a large database that has millions of anonymous patient records - to look at the survival of people with HF. We will look at what percentage of people live for one, five and ten years after their diagnosis and if this has changed over the years. We will also examine the reasons why people with HF died. We hope this work will allow us to have a better understanding of HF in the community.

Technical Summary

Heart failure (HF) is a common and costly condition affecting 1-2% of adults. The aim of this study is to determine the survival rates of people with HF, and if prognosis has improved over time.

An open matched retrospective cohort study, using data from CPRD for the period between 1st January 2000 and 31st December 2017, will be conducted using records of people with and without a HF diagnosis. CPRD data will be linked to HES data to validate the code of HF and the Office for National Statistics death registration data to provide the date and cause of death.

Kaplan-Meier curves will be used to compare the survival in patients with and without HF and by age group, gender and deprivation quintile. One, 5 and 10-year survival rates for HF cases will be calculated for each 10-year age band. For comparison, survival rates of patients without a diagnosis of HF will also be determined. Cox proportional hazards regression analysis will be undertaken to assess the effect of HF on survival with adjustment for age, gender and practice. To examine trends over time, survival rates will be calculated by year of diagnosis.

Health Outcomes to be Measured

Mortality
Cause of death

Collaborators

Clare Taylor - Chief Investigator - University of Oxford
Clare Taylor - Corresponding Applicant - University of Oxford
Andrea Roalfe - Collaborator - University of Oxford
Clare Bankhead - Collaborator - University of Oxford
Rafael Perera - Collaborator - University of Oxford
Richard Hobbs - Collaborator - University of Oxford
Sarah Lay-Flurrie - Collaborator - University of Oxford

Linkages

HES Admitted Patient Care;ONS Death Registration Data;Patient Level Index of Multiple Deprivation;Practice Level Index of Multiple Deprivation