The Predictive Value of Depression in the Years After Heart Transplantation for Mortality During Long-Term Follow-Up

Bibliographic Data

ID19307992
AuthorsBritta S Bürker (0000-0002-0544-5071, Oslo University Hospital, corresponding author), Lars Gullestad (0000-0002-5932-6641, Rigshospitalet), Einar Gude (Rigshospitalet), Odd E Havik (Rigshospitalet), Anne Relbo Authen (Rigshospitalet), Ingelin Grov, Arne K Andreassen (Rigshospitalet), Arnt E Fiane (0000-0002-5369-3934, Rigshospitalet), Ira R Haraldsen, Ira Haraldsen (0000-0002-6908-5423, Rigshospitalet), Mary Amanda Dew (0000-0002-4666-1870, Rigshospitalet), Stein Andersson (0000-0002-7556-7621, Rigshospitalet, corresponding author), Ulrik Fredrik Malt (0000-0002-9881-2511, Rigshospitalet)
Year2019
Volume81
Issue6
Pages513-520
Publication date2019-07-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenuePsychosomatic Medicine (JOURNAL)
Journal identifiersISSN: 0033-3174 • E-ISSN: 1534-7796
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/psy.0000000000000702
PMID31033937
OpenAlexW2941436213
LanguageEN
Citations received3
References cited27

OBJECTIVE: Current understanding of the prognostic impact of depression on mortality after heart transplantation (HTx) is limited. We examined whether depression after HTx is a predictor of mortality during extended follow-up. Subsequently, we explored whether different symptom dimensions of depression could be identified and whether they were differentially associated with mortality. METHODS: Survival analyses were performed in a sample of 141 HTx recipients assessed for depression, measured by self-report of depressive symptoms (Beck Depression Inventory - version 1A [BDI-1A]), at median 5.0 years after HTx, and followed thereafter for survival status for up to 18.6 years. We used uni- and multivariate Cox proportional hazard models to examine the association of clinically significant depression (BDI-1A total score ≥10), as well as the cognitive-affective and the somatic subscales of the BDI-1A (resulting from principal component analysis) with mortality. In the multivariate analyses, we adjusted for relevant sociodemographic and clinical variables. RESULTS: Clinically significant depression was a significant predictor of mortality (hazard ratio = 2.088; 95% confidence interval = 1.366-3.192; p = .001). Clinically significant depression also was an independent predictor of mortality in the multivariate analysis (hazard ratio = 1.982; 95% confidence interval = 1.220-3.217; p = .006). The somatic subscale, but not the cognitive-affective subscale, was significantly associated with increased mortality in univariate analyses, whereas neither of the two subscales was an independent predictor of mortality in the multivariate analysis. CONCLUSIONS: Depression measured by self-report after HTx is associated with increased mortality during extended follow-up. Clinical utility and predictive validity of specific depression components require further study

Anxiety · Beck Depression Inventory · Confidence interval · Depression (economics) · Hazard ratio · Multivariate analysis · Multivariate statistics · Proportional hazards model · Psychiatry · Univariate analysis · Cardiac Health and Mental Health · Internal Medicine · Medicine · Renal Transplantation Outcomes and Treatments · Transplantation: Methods and Outcomes

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