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Association of depression and survival in patients with chronic heart failure over 12 Years.

Publication ,  Journal Article
Adams, J; Kuchibhatla, M; Christopher, EJ; Alexander, JD; Clary, GL; Cuffe, MS; Califf, RM; Krishnan, RR; O'Connor, CM; Jiang, W
Published in: Psychosomatics
2012

OBJECTIVE: To examine the relationship between depression and survival in patients with chronic heart failure (HF) over a 12-year follow-up period. BACKGROUND: The survival associated with depression has been demonstrated in HF patients for up to 7 years. Longer-term impact of depression on survival of these patients remains unknown. METHODS: Prospectively conducted observational study examining adults with HF who were admitted to a cardiology service at Duke University Medical Center between March 1997 and June 2003 and completed the Beck depression inventory (BDI) scale. The national death index was queried for vital status. Cox proportional hazards modeling was used to determine the association of survival and depression. RESULTS: During a mean follow-up of 1792.33 ± 1372.82 days (median 1600; range 0-4683), 733 of 985 participants with HF died of all causes, representing 80% of those with depression (BDI > 10) and 73% of those without (P = 0.01). Depression was significantly and persistently associated with decreased survival over follow-up (hazard ratio [HR] 1.35, 95% confidence interval [CI] 1.15-1.57), and was independent of conventional risk factors (HR 1.40, 95% CI 1.16-1.68). Furthermore, survival was inversely associated with depression severity (BDI (continuous) HR 1.02, 95% CI 1.006-1.025, P = 0.001). CONCLUSIONS: The impact of co-morbid depression during the index hospitalization on significantly increased mortality of HF patients is strong and persists over 12 years. These findings suggest that more investigation is needed to understand the trajectory of depression and the mechanisms underlying the impact of depression as well as to identify effective management strategies for depression of patients with HF.

Duke Scholars

Published In

Psychosomatics

DOI

EISSN

1545-7206

Publication Date

2012

Volume

53

Issue

4

Start / End Page

339 / 346

Location

England

Related Subject Headings

  • United States
  • Survival Rate
  • Psychiatry
  • Psychiatric Status Rating Scales
  • Male
  • Humans
  • Hospitalization
  • Heart Failure
  • Female
  • Epidemiologic Methods
 

Citation

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Adams, J., Kuchibhatla, M., Christopher, E. J., Alexander, J. D., Clary, G. L., Cuffe, M. S., … Jiang, W. (2012). Association of depression and survival in patients with chronic heart failure over 12 Years. Psychosomatics, 53(4), 339–346. https://doi.org/10.1016/j.psym.2011.12.002
Adams, Julie, Maragatha Kuchibhatla, Eric J. Christopher, Jude D. Alexander, Greg L. Clary, Michael S. Cuffe, Robert M. Califf, Ranga R. Krishnan, Christopher M. O’Connor, and Wei Jiang. “Association of depression and survival in patients with chronic heart failure over 12 Years.Psychosomatics 53, no. 4 (2012): 339–46. https://doi.org/10.1016/j.psym.2011.12.002.
Adams J, Kuchibhatla M, Christopher EJ, Alexander JD, Clary GL, Cuffe MS, et al. Association of depression and survival in patients with chronic heart failure over 12 Years. Psychosomatics. 2012;53(4):339–46.
Adams, Julie, et al. “Association of depression and survival in patients with chronic heart failure over 12 Years.Psychosomatics, vol. 53, no. 4, 2012, pp. 339–46. Pubmed, doi:10.1016/j.psym.2011.12.002.
Adams J, Kuchibhatla M, Christopher EJ, Alexander JD, Clary GL, Cuffe MS, Califf RM, Krishnan RR, O’Connor CM, Jiang W. Association of depression and survival in patients with chronic heart failure over 12 Years. Psychosomatics. 2012;53(4):339–346.
Journal cover image

Published In

Psychosomatics

DOI

EISSN

1545-7206

Publication Date

2012

Volume

53

Issue

4

Start / End Page

339 / 346

Location

England

Related Subject Headings

  • United States
  • Survival Rate
  • Psychiatry
  • Psychiatric Status Rating Scales
  • Male
  • Humans
  • Hospitalization
  • Heart Failure
  • Female
  • Epidemiologic Methods