Symptomatic heart failure is the most important clinical correlate of impaired quality of life, anxiety, and depression in implantable cardioverter-defibrillator patients: a single-centre, cross-sectional study in 610 patients

Europace. 2008 May;10(5):545-51. doi: 10.1093/europace/eun073. Epub 2008 Mar 31.

Abstract

Aims: To identify correlates of impaired quality of life (QOL), anxiety, and depression in patients with an implantable cardioverter-defibrillator (ICD).

Methods and results: Surviving patients (n = 610) who received an ICD in our institution since 1989 completed the Short Form Health Survey (SF-36) and the Hospital Anxiety and Depression Scale. Mean age was 62.4 years with 18% females. In a multivariate logistic regression analysis, symptomatic heart failure was the most important correlate of impaired QOL (SF-36) across all eight subscales [odds ratios (ORs) ranging from 5.21 to 22.53)], whereas psychotropic medication, age, comorbidity, amiodarone, and ICD shocks all correlated to a lesser extent. Symptomatic heart failure was also the most dominant correlate of anxiety [OR 5.15 (3.08-8.63), P < 0.001] and depression [OR 6.82 (3.77-12.39), P < 0.001]. Implantable cardioverter-defibrillator shocks correlated less yet significantly with anxiety [OR 2.21 (1.32-3.72) P < 0.01] and depression [OR 2.00 (1.06-3.80), P < 0.05].

Conclusion: Symptomatic heart failure was the single most important clinical correlate of impaired QOL, anxiety, and depression, with ICD shocks playing only a secondary role. This suggests that comorbidity rather than ICD therapy per se influences patients' device acceptance, supporting the increasing use of prophylactic ICD implantation.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Anxiety / epidemiology*
  • Comorbidity
  • Cross-Sectional Studies
  • Defibrillators, Implantable
  • Denmark / epidemiology
  • Depression / epidemiology*
  • Female
  • Heart Failure / epidemiology*
  • Heart Failure / prevention & control*
  • Humans
  • Incidence
  • Male
  • Middle Aged
  • Quality of Life*
  • Risk Assessment / methods*
  • Risk Factors
  • Statistics as Topic