Quality of Life Predicts Survival and Hospitalisation in a Heart Failure Portuguese Population Sónia Ramos 1,4 & Joana Prata 1 & Francisco Rocha-Gonçalves 1 & Paulo Bettencourt 1 & Rui Coelho 2,3 Received: 4 October 2015 /Accepted: 15 January 2016 # Springer Science+Business Media Dordrecht and The International Society for Quality-of-Life Studies (ISQOLS) 2016 Abstract The aim of this study was to examine whether quality of life (QoL) is an independent predictor of death and hospitalization for cardiovascular (CV) causes in patients with heart failure (HF). A 6- year prospective study was conducted on 130 outpatients with HF who were recruited from a cardiology service at S. João Hospital. Generic QoL was measured with the Medical Outcome Study 36-item Short Form Survey (SF-36), disease-specific QoL was measured with the Kansas City Cardiomy- opathy Questionnaire (KCCQ) and the Beck Depression Inventory Scale (BDI-II) was used to screen for depressive symptoms (DS). Logistic regression and multinomial logistic regression analysis were used to evaluate the independent prognostic value of QoL measures on all cause mortality and hospitalization for CV causes after adjustment for clinical risk factors. During the follow-up 48 % of the participants died for all causes and 38 % were hospitalized for CV causes. Both generic and disease-specific QoL instruments were predictive of mortality and hospitalization on univariate analysis. After adjustment for prognostic factors such as DS, age, gender, B-type natriuretic peptide (BNP) levels, renal insufficiency and functional class NHYA only the summary clinical domain of KCCQ remained predictive of mortality. With respect to hospitali- zation for CV causes remained the predictive power: the summary clinical domain and the self-efficacy domains of KCCQ and the physical health domain of SF-36. Worse Applied Research Quality Life DOI 10.1007/s11482-016-9449-8 * Sónia Ramos scramos@sapo.pt 1 Cardiovascular Research Unit, Faculty of Medicine, University of Porto, Porto, Portugal 2 Instituto de Investigação e Inovação em Saúde (i3S), University of Porto, Porto, Portugal 3 Department of Clinical Neuroscience and Mental Health, Faculty of Medicine, University of Porto, Porto, Portugal 4 Rua Cândido Beirante n° 6, 4715-269 Braga, Portugal