Electroconvulsive therapy related anxiety in patients with depression: The influence of cognitive coping styles.

INTRODUCTION: Electroconvulsive therapy (ECT) related anxiety (ERA) is a common phenomenon with high individual variability. The way patients cognitively cope with the prospects of receiving ECT could be a mechanism explaining individual differences in ERA. Cognitive coping like monitoring (information seeking, paying attention to consequences) and blunting (seeking distraction and reassurance) has been linked to anxiety in various medical settings, with monitoring leading to more and blunting to less anxiety. How cognitive coping is related to ERA, is unknown. METHODS: The sample consisted of 71 patients with unipolar or bipolar depression referred for ECT. Cognitive coping was assessed at baseline, while ERA was measured each morning before the ECT session. Using a Linear Mixed Model, the influence of cognitive coping styles on ERA was investigated. RESULTS: Blunting was associated with lower levels of ERA (p = 0.037) and monitoring tended to be associated with higher levels of ERA (p = 0.057) throughout the ECT course. Patients with a depression with psychotic features scored significantly higher on monitoring, but even after controlling for monitoring they showed a stronger decline in ERA during treatment compared to patients without psychotic features. CONCLUSION: Cognitive coping style contributes to individual differences in ERA. Blunting is a protective factor, leading to lower levels of ERA throughout the ECT course. On the contrary, patients with a higher monitoring style tend to experience higher levels of ERA. Further insights in these coping mechanisms may help to tailor future treatment to individual patients and reduce ERA before and during ECT treatment.

Electroconvulsive therapy improves somatic symptoms before mood in patients with depression: A directed network analysis.

BACKGROUND: The recent network perspective of depression conceptualizes depression as a dynamic network of causally related symptoms, that contrasts with the traditional view of depression as a discrete latent entity that causes all symptoms. Electroconvulsive therapy (ECT) is an effective treatment for severe depression, but little is known about the temporal trajectories of symptom improvement during a course of ECT. OBJECTIVE: To gain insight into the dynamics of depressive symptoms in individuals treated with ECT. METHODS: The Quick Inventory of Depressive Symptomatology (QIDS) was used to assess symptoms twice a week in 68 participants with a unipolar or bipolar depression treated with ECT, with an average of 12 assessments per participant. Dynamic time warping (DTW) was used to analyze individual time series data, which were subsequently aggregated to calculate a directed symptom network and the in- and out-strength for each symptom. RESULTS: Participants had a mean age of 49.6 (SD = 12.8) and 60% were female. Somatic symptoms (e.g., decreased weight) and suicidal ideation showed the highest out-strength values, indicating that their improvement tended to precede improvements in mood symptoms, which showed high in-strength. Sad mood had the highest in-strength, and thus appeared to be the last symptom to improve during ECT treatment (p < 0.001). CONCLUSION: This study addresses a gap in the existing literature on ECT, by first analysing the temporal trajectories of symptoms within individual patients and subsequently aggregating them to the group level. The results show that somatic symptoms tend to improve before mood symptoms during ECT.