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Depressive symptoms in outpatients with heart failure: Importance of inflammatory biomarkers,disease severity and personality
Authors:Corline Brouwers  Nina Kupper  Aline J. Pelle  Balász M. Szabó  Bert L.W.J.J.M. Westerhuis  Johan Denollet
Affiliation:1. Department of Medical Psychology and Clinical Psychology, CoRPS-Center of Center of Research on Psychology in Somatic Diseases, Tilburg University, Tilburg, The Netherlandsc.brouwers@uvt.nl;3. Department of Medical Psychology and Clinical Psychology, CoRPS-Center of Center of Research on Psychology in Somatic Diseases, Tilburg University, Tilburg, The Netherlands;4. Department of Cardiology, Elisabeth Hospital, Tilburg, The Netherlands;5. Clinical Chemistry and Hematology Laboratory, Elisabeth Hospital, Tilburg, The Netherlands
Abstract:Objective: Depressive symptoms are highly prevalent in heart failure (HF) patients, however the underlying etiology of depression in HF patients remains yet unclear. Hence, the goal is to examine the relative importance of inflammation, disease severity and personality as predictors of depression in HF patients. Design: Depressive symptoms (Hospital Anxiety and Depression Scale, depression subscale) were assessed at baseline and one-year follow-up in 268 HF patients (75.6% men; mean age?=?66.7?±?8.7). Markers of inflammation (TNFα, sTNFr1, sTNFr2, IL-6 and IL-10), disease severity (e.g. New York Heart Association (NYHA) classification) and personality (Type D personality, loneliness) were assessed at baseline. Results: At baseline, NYHA class, body mass index, educational level, Type D personality and loneliness were significantly associated with depression. Higher NYHA class (B?=?2.25; SE?=?.83), higher educational level (B?=?1.41; SE?=?.48), Type D personality (B?=?2.56; SE?=?.60) and loneliness (B?=?.19; SE?=?.05) were also independently associated with higher depression levels at one-year follow-up (all p-values?Conclusions: Personality factors, but not inflammation, were independent concomitants of depressive symptoms in patients with HF. Gaining more insight into the etiology of depression in HF patients is important in order to identify potential targets for novel interventions.
Keywords:depression  heart failure  inflammation  disease severity  personality  predictive theoretical models
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