The Atrial Fibrillation Follow-up Investigation of Rhythm Management (AFFIRM) is conducted and supported by the NHLBI in collaboration with the AFFIRM Investigators. This manuscript was prepared using a limited access dataset obtained by the NHLBI and does not necessarily reflect the opinions or views of the AFFIRM Study or the NHLBI.
Does Health-Related Quality of Life Predict Hospitalization or Mortality in Patients with Atrial Fibrillation?
Article first published online: 16 SEP 2013
© 2014 Wiley Periodicals, Inc.
Journal of Cardiovascular Electrophysiology
Volume 25, Issue 1, pages 23–28, January 2014
How to Cite
SCHRON, E., FRIEDMANN, E. and THOMAS, S. A. (2014), Does Health-Related Quality of Life Predict Hospitalization or Mortality in Patients with Atrial Fibrillation?. Journal of Cardiovascular Electrophysiology, 25: 23–28. doi: 10.1111/jce.12266
- Issue published online: 8 JAN 2014
- Article first published online: 16 SEP 2013
- Accepted manuscript online: 21 AUG 2013 03:39PM EST
- Manuscript Accepted: 12 AUG 2013
- Manuscript Revised: 1 AUG 2013
- Manuscript Received: 2 APR 2013
- atrial fibrillation;
- medical outcomes study (SF-36);
- quality of life;
- quality of life index-cardiac version (QLI-CV);
QOL Predicts Hospitalization and Mortality in AF
Poor health-related quality of life (QOL) is related to morbidity and mortality in coronary heart disease and ventricular arrhythmias as well as to mortality in patients with heart failure (HF) and atrial fibrillation (AF). This study examined the contributions of QOL to the prediction of 1-year hospitalization and mortality in patients with AF, independent of HF.
This study used the public use dataset from the NHLBI/NIH AFFIRM randomized clinical trial. Patients enrolled in the QOL substudy (N = 693) were randomly assigned to rate or rhythm control. QOL was assessed with the Medical Outcomes Study 36-item Short Form Health Survey (SF-36) and the Quality of Life Index-Cardiac Version (QLI-CV). Data were analyzed with logistic regression to predict 1-year hospitalization and Cox proportional hazards analysis to predict mortality.
In the first year of participation in the study 37% (n = 256) were hospitalized; mortality was 14.3% (n = 93) with mean follow-up of 3.5 years. Patients’ mean age was 69.8 ± 8.2 years, were largely male (62%), and white (93%). Patient histories included 70.8% hypertension, 38.2% coronary artery disease (CAD), and 23.7% HF. History of stroke, HF, rhythm control arm, lower SF-36 mental component scores (MCS), and lower SF-36 physical component scores (PCS) predicted hospitalization (P < 0.001). Diabetes, female gender, older age, CAD, hypertension, and lower PCS predicted mortality (P < 0.001).
QOL adds meaningful information beyond traditional biomedical factors to the prediction of mortality and/or hospitalization of patients with AF. Interventions for improving QOL and helping patients adapt to AF treatments may decrease hospitalization and improve survival.