Phase 2 Randomised Controlled Trial and Feasibility Study of Future Care Planning in Patients with Advanced Heart Disease

Future Care Planning (FCP) rarely occurs in patients with heart disease until close to death by which time the potential benefits are lost. We assessed the feasibility, acceptability and tested a design of a randomised trial evaluating the impact of FCP in patients and carers. 50 patients hospitalised with acute heart failure or acute coronary syndrome and with predicted 12 month mortality risk of >20% were randomly allocated to FCP or usual care for 12 weeks upon discharge and then crossed-over for the next 12 weeks. Quality of life, symptoms and anxiety/distress were assessed by questionnaire. Hospitalisation and mortality events were documented for 6 months post-discharge. FCP increased implementation and documentation of key decisions linked to end-of-life care. FCP did not increase anxiety/distress (Kessler score -E 16.7 (7.0) vs D 16.8 (7.3), p = 0.94). Quality of life was unchanged (EQ5D: E 0.54(0.29) vs D 0.56(0.24), p = 0.86) while unadjusted hospitalised nights was lower (E 8.6 (15.3) vs D 11.8 (17.1), p = 0.01). Qualitative interviews indicated that FCP was highly valued by patients, carers and family physicians. FCP is feasible in a randomised clinical trial in patients with acute high risk cardiac conditions. A Phase 3 trial is needed urgently

The Alberta Heart Failure Etiology and Analysis Research Team (HEART) study

BACKGROUND: Nationally, symptomatic heart failure affects 1.5-2% of Canadians, incurs $3 billion in hospital costs annually and the global burden is expected to double in the next 1–2 decades. The current one-year mortality rate after diagnosis of heart failure remains high at >25%. Consequently, new therapeutic strategies need to be developed for this debilitating condition. METHODS/DESIGN: The objective of the Alberta HEART program (http://albertaheartresearch.ca) is to develop novel diagnostic, therapeutic and prognostic approaches to patients with heart failure with preserved ejection fraction. We hypothesize that novel imaging techniques and biomarkers will aid in describing heart failure with preserved ejection fraction. Furthermore, the development of new diagnostic criteria will allow us to: 1) better define risk factors associated with heart failure with preserved ejection fraction; 2) elucidate clinical, cellular and molecular mechanisms involved with the development and progression of heart failure with preserved ejection fraction; 3) design and test new therapeutic strategies for patients with heart failure with preserved ejection fraction. Additionally, Alberta HEART provides training and education for enhancing translational medicine, knowledge translation and clinical practice in heart failure. This is a prospective observational cohort study of patients with, or at risk for, heart failure. Patients will have sequential testing including quality of life and clinical outcomes over 12 months. After that time, study participants will be passively followed via linkage to external administrative databases. Clinical outcomes of interest include death, hospitalization, emergency department visits, physician resource use and/or heart transplant. Patients will be followed for a total of 5 years. DISCUSSION: Alberta HEART has the primary objective to define new diagnostic criteria for patients with heart failure with preserved ejection fraction. New criteria will allow for targeted therapies, diagnostic tests and further understanding of the patients, both at-risk for and with heart failure. TRIAL REGISTRATION: ClinicalTrials.gov NCT02052804

Prognostic Factors in Patients Hospitalized for Heart Failure

Each year, there are over one million hospitalizations for heart failure in the United States, with a similar number in Western Europe. Although these patients respond to initial therapies, they have very high short and intermediate term (2-6 months) mortality and readmission rates, while the healthcare system incurs substantial costs. Several risk prediction models that can accurately identify high-risk patients have been developed using data from clinical trials, large registries or administrative databases. Use of multi-variable risk models at the time of hospital admission or discharge offers better risk stratification and should be encouraged, as it allows for appropriate allocation of existing resources and development of clinical trials testing new treatment strategies for patients admitted with heart failure