Study proposes an integrative dynamic model of depression-CAD relationship

This study proposes an integrative dynamic model of the depression-coronary artery disease (CAD) relationship. This model may have potential for integrating findings regarding the depression-CAD relationship, contributing to the clarification of discords on screening and treatment of depression, and guiding future research.

New data that are analyzed in the current issue of Psychotherapy and Psychosomatics suggest the mechanisms whereby depression may progress to coronary artery disease.

Despite extensive research on the relationship between depression and coronary artery disease (CAD) after an acute coronary syndrome (ACS), causal interpretations are still difficult. This uncertainty has led to much confusion regarding screening and treatment for depression in CAD patients. In this paper, a critical and conceptual analysis of the pertinent literature, which elaborates the implications of the heterogeneity in symptom pattern, etiology, and course of depression in CAD patients has been performed. The Authors propose an integrative dynamic model of the depression-CAD relationship.

The model rests on three core hypotheses: (1) Depression in CAD patients consists of mixtures of two types of depression, denoted as 'cognitive/affective' and 'somatic' depression, each having a somewhat characteristic symptom expression and etiology. (2) Effects of depression on CAD depend on the type and duration of depression. The dynamic aspect of the model indicates that post-ACS depression shifts, when it persists, from a marker of the severity (somatic type) and meaning (cognitive/affective type) of the ACS to a largely indirect causal factor in the progression of CAD. (3) The most plausible pathways mediating the effects of persistent/recurrent depression, irrespective of type, on cardiac prognosis are behavioral and act by making depressed CAD patients more susceptible to other CAD risks. The model offers testable predictions and explanations for a variety of apparently unrelated or inconsistent findings. The proposed model may have potential for integrating findings regarding the depression-CAD relationship, contributing to the clarification of discords on screening and treatment of depression, and guiding future research.