Background: Chronic diseases may negatively interfere with the course of depression. Our aim was to examine whether the association between chronic disease and course of depression is moderated by mastery.
Method: N = 1146 persons, aged 18-88, with depressive disorder according to DSM-IV criteria were followed for two years.
Reliable predictors for electroconvulsive therapy (ECT) effectiveness would allow a more precise and personalized approach for the treatment of major depressive disorder (MDD). Prediction models were created using a priori selected clinical variables based on previous meta-analyses. Multivariable linear regression analysis was used, applying backwards selection to determine predictor variables while allowing non-linear relations, to develop a prediction model for depression outcome post-ECT (and logistic regression for remission and response as secondary outcome measures).
View Article and Find Full Text PDFThe Global ECT MRI Research Collaboration (GEMRIC) has collected clinical and neuroimaging data of patients treated with electroconvulsive therapy (ECT) from around the world. Results to date have focused on neuroimaging correlates of antidepressant response. GEMRIC sites have also collected longitudinal cognitive data.
View Article and Find Full Text PDFBiol Psychiatry Cogn Neurosci Neuroimaging
August 2024
Background: Monitoring cognitive side effects following electroconvulsive therapy (ECT) is crucial for balancing side effects and clinical effectiveness. Yet, evidence-based guidelines on cognitive testing following ECT are lacking. A frequently used test in global ECT practice is the Mini-Mental State Examination (MMSE).
View Article and Find Full Text PDFBackground: Increased gray matter volume (GMV) following electroconvulsive therapy (ECT) has been well-documented, with limited studies reporting a subsequent decrease in GMV afterwards.
Objective: This study characterized the reversion pattern of GMV after ECT and its association with clinical depression outcome, using multi-site triple time-point data from the Global ECT-MRI Research Collaboration (GEMRIC).
Methods: 86 subjects from the GEMRIC database were included, and GMV in 84 regions-of-interest (ROI) was obtained from automatic segmentation of T1 MRI images at three timepoints: pre-ECT (T), within one-week post-ECT (T), and one to six months post-ECT (T).
Objectives: Despite expanding knowledge about the internal and external resources that contribute to resilience among individuals who have experienced depression, the long-term accessibility and protectiveness of these resources across different stressors is unknown. We investigated whether and how the resilience resources of individuals who previously recovered from late-life depression remained protective during the COVID-19 pandemic.
Methods: We used a sequential explanatory mixed methods design.
In this cohort profile article we describe the lifetime major depressive disorder (MDD) database that has been established as part of the BIObanks Netherlands Internet Collaboration (BIONIC). Across the Netherlands we collected data on () lifetime MDD diagnosis in 132,850 Dutch individuals. Currently, = 66,684 of these also have genomewide single nucleotide polymorphism (SNP) data.
View Article and Find Full Text PDFObjectives: Late Life Depression (LLD) is associated with increased mortality rates, but it remains unclear which depressed patients are at increased risk. This study examined the mortality risk of previously identified subgroups of depressed older patients based on age-related clinical features (the presence of physical and cognitive frailty).
Methods: A six-year follow-up of a clinical cohort study including 375 depressed older patients and 132 non-depressed persons (NESDO).
Background: Electroconvulsive therapy (ECT) is one of the most effective treatments for severe depressive disorders. A recent multi-center study found no consistent changes in correlation-based (undirected) resting-state connectivity after ECT. Effective (directed) connectivity may provide more insight into the working mechanism of ECT.
View Article and Find Full Text PDFObjectives: Personality traits and affective disorders are both related to functional limitations. It is unknown whether personality traits have an additional effect on functioning in older adults with affective disorders. We studied the association between personality traits and functioning within this group.
View Article and Find Full Text PDFBackground: Electroconvulsive therapy (ECT) is the most effective intervention for patients with treatment resistant depression. A clinical decision support tool could guide patient selection to improve the overall response rate and avoid ineffective treatments with adverse effects. Initial small-scale, monocenter studies indicate that both structural magnetic resonance imaging (sMRI) and functional MRI (fMRI) biomarkers may predict ECT outcome, but it is not known whether those results can generalize to data from other centers.
View Article and Find Full Text PDFObjective: To test whether the cortisol awakening response (CAR) could be a biomarker for cognitive decline during electroconvulsive therapy (ECT).
Methods: We studied 50 older patients with depression who were treated with ECT from the MODECT cohort. We used linear regression analyses to examine the association between CAR and cognitive change, assessed by the change in Mini Mental State Examination scores between baseline and 1 week after ECT course.
Background: Postictal agitation (PIA) after electroconvulsive therapy (ECT) is a serious clinical problem estimated to occur in 7-36% of patients and recur in 19-54% of patients. PIA has the potential to cause dangerous situations for the patient and staff members aside from the financial impact. To date, it is unclear which pharmacological interventions should be used in the management of PIA.
View Article and Find Full Text PDFBackground: Traditional cardiovascular risk indicators only partially explain cardiovascular risks in depressed persons. Depressed persons may exhibit a profile of cardiovascular risk indicators that goes beyond traditional cardiovascular risk indicators, such as symptom severity, insomnia, loneliness and neuroticism, yet research on the added value of these depression-related characteristics in predicting cardiovascular risks of depressed persons is scarce.
Methods: Data from N = 1028 depressed Dutch adults without prevalent CVD were derived from two longitudinal depression cohort studies.
Introduction: As the role of (neuro)inflammation in depression pathophysiology is emerging, augmentation of antidepressant treatments with anti-inflammatory drugs have shown beneficial results, but not consistently across all studies. Inconsistencies may be due to depression biological and clinical heterogeneity. Immuno-Metabolic Depression (IMD) has been put forward as a form of depression characterized by the clustering of low-grade inflammation, metabolic dysregulations and atypical, energy-related symptoms (overeating, weight gain, hypersomnia, fatigue and leaden paralysis).
View Article and Find Full Text PDFObjective: While research found heterogeneous changes in mental health during the COVID-19 pandemic, less is known about the long-term changes in mental health in psychiatric groups. Therefore, we applied a data-driven method to detect sub-groups with distinct trajectories across two years into the pandemic in psychiatric groups, and described their differences in socio-demographic and clinical characteristics.
Method: We conducted sixteen rounds of questionnaires between April 2020 and February 2022 among participants (n = 1722) of three psychiatric case-control cohorts that started in the 2000's.
Objective: Electroconvulsive therapy (ECT) is the most effective treatment for patients with severe major depressive disorder (MDD). Given the known sex differences in MDD, improved knowledge may provide more sex-specific recommendations in clinical guidelines and improve outcome. In the present study we examine sex differences in ECT outcome and its predictors.
View Article and Find Full Text PDFObjectives: Determinants of frailty are generally explored within context of somatic healthcare and/or lifestyle characteristics. To examine the impact of personality traits on change in frailty and the potential role of depression.
Methods: A 2-year follow-up study including 285 patients with a depressive disorder and 116 never-depressed controls.
Introduction: Both older age bipolar disorder (OABD) and late life depression (LLD) have been associated with cognitive dysfunction. It is unclear how cognitive functioning differs between these disorders and what the influence of current depressive symptoms is.
Methods: We compared OABD (n = 148), LLD (n = 378) and healthy controls (HC) (n = 132) on cognitive functioning.
Objective: Previous studies suggest that prevention of cardiovascular disease (CVD) is more difficult in depressed persons. Although the prevalence and incidence of CVD decreased over the past decades, it is uncertain whether this is also true for depressed persons. This study examined whether changes in the prevalence and incidence of CVD differ between depressed and non-depressed older persons.
View Article and Find Full Text PDFElectroconvulsive therapy (ECT) is a safe and effective treatment, especially in psychotic late-life depression (LLD). However, it is not yet clear whether the greater efficacy seen in psychotic LLD is because of a shorter index episode duration. The first aim of this study was to substantiate the superior ECT remission rates in patients with psychotic LLD, as compared to patients with nonpsychotic LLD, and a second aim was to investigate whether this association is independent of the index duration.
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