Clinical trial NCT02353481: 1 Year Post Discharge Prognostic Model From the National Heart Failure Audit (NHFA)
Study type: OBSERVATIONAL
Overall status: UNKNOWN
Conditions: Heart Failure
Lead sponsor: University College, London
Sponsor class: OTHER
Collaborators: name: National Institute for Cardiovascular Outcomes Research
name: British Society for Heart Failure
First posted: 2015-02-02
Enrollment: 63320
Sex: ALL
Minimum age (years): 18
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: no
Observational model: COHORT
Time perspective: RETROSPECTIVE
Sampling method: NON_PROBABILITY_SAMPLE
Study population: Unscheduled heart failure admissions in England and Wales are recorded in the National Heart Failure Audit. Therefore, patients with data in the audit will be eligible for inclusion if they meet the inclusion criteria listed below.

Brief summary: The aim of the study is to develop and assess a prognostic model for patient's survival up to 1 year after unscheduled acute heart failure hospital admission in England and Wales.

Detailed description: There is a need for a prognostic model for 1 year survival of patients discharged alive after an unscheduled hospital admission for heart failure. This study aims to develop and validate a prognostic model that will enable management planning and facilitate the identification of therapeutic needs or targets. Also, it will assist care providers to predict or quantify patients' survival based on their baseline characteristics.

The National Heart Failure Audit (NHFA) held by National Institute for Cardiovascular Outcomes Research (NICOR) is one of the largest available national heart failure registry. It includes data from unscheduled heart failure admissions in England and Wales. In the audit, heart failure diagnosis is defined as a diagnosis that has been confirmed by imaging or brain natriuretic peptide (BNP) measurement. This study will use NHFA data to develop and validate the proposed model.

Eligibility criteria: Inclusion Criteria:

* aged 18 and above
* survived to discharge
* have mortality status at 1 year post-discharge

Exclusion Criteria:

Non-index heart failure admissions during the study period will be excluded from the study sample.

Primary outcomes:
measure: All-cause mortality
timeFrame: 1 year
Secondary outcomes:
Other outcomes:
Locations:
city: London
country: United Kingdom
facility: University College London
Study officials:
References:
citation: Pocock SJ, Wang D, Pfeffer MA, Yusuf S, McMurray JJ, Swedberg KB, Ostergren J, Michelson EL, Pieper KS, Granger CB. Predictors of mortality and morbidity in patients with chronic heart failure. Eur Heart J. 2006 Jan;27(1):65-75. doi: 10.1093/eurheartj/ehi555. Epub 2005 Oct 11.
citation: Adams KF Jr, Fonarow GC, Emerman CL, LeJemtel TH, Costanzo MR, Abraham WT, Berkowitz RL, Galvao M, Horton DP; ADHERE Scientific Advisory Committee and Investigators. Characteristics and outcomes of patients hospitalized for heart failure in the United States: rationale, design, and preliminary observations from the first 100,000 cases in the Acute Decompensated Heart Failure National Registry (ADHERE). Am Heart J. 2005 Feb;149(2):209-16. doi: 10.1016/j.ahj.2004.08.005.
citation: Levy WC, Mozaffarian D, Linker DT, Sutradhar SC, Anker SD, Cropp AB, Anand I, Maggioni A, Burton P, Sullivan MD, Pitt B, Poole-Wilson PA, Mann DL, Packer M. The Seattle Heart Failure Model: prediction of survival in heart failure. Circulation. 2006 Mar 21;113(11):1424-33. doi: 10.1161/CIRCULATIONAHA.105.584102. Epub 2006 Mar 13.
citation: Pocock SJ, Ariti CA, McMurray JJ, Maggioni A, Kober L, Squire IB, Swedberg K, Dobson J, Poppe KK, Whalley GA, Doughty RN; Meta-Analysis Global Group in Chronic Heart Failure. Predicting survival in heart failure: a risk score based on 39 372 patients from 30 studies. Eur Heart J. 2013 May;34(19):1404-13. doi: 10.1093/eurheartj/ehs337. Epub 2012 Oct 24.