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Dobson KG, Gignac MAM, Mustard CA. The working life expectancy of American adults experiencing depression. Soc Psychiatry Psychiatr Epidemiol 2024; 59:1013-1027. [PMID: 37679526 PMCID: PMC11116182 DOI: 10.1007/s00127-023-02547-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Accepted: 08/14/2023] [Indexed: 09/09/2023]
Abstract
OBJECTIVES To estimate the working life expectancies (WLE) of men and women with depression, examining depression by symptom trajectories from the late 20s to early 50s, and to estimate WLE by race/ethnicity and educational attainment. METHODS Data from 9206 participants collected from 1979 to 2018 in the US National Longitudinal Survey of Youth 1979 cohort were used. Depression was measured using the Center for Epidemiologic Studies Depression Scale Short Form at four time points (age 28-35, age 30-37, age 40, and age 50). Labor force status was measured monthly starting at age 30 until age 58-62. Depressive symptom trajectories were estimated using growth mixture modeling and multistate modeling estimated WLE from age 30-60 for each gender and depressive symptom trajectory. RESULTS Five latent symptom trajectories were established: a persistent low symptom trajectory (n = 6838), an episodic trajectory with high symptoms occurring before age 40 (n = 995), an episodic trajectory with high symptoms occurring around age 40 (n = 526), a trajectory with high symptoms occurring around age 50 (n = 570), and a persistent high symptom trajectory (n = 277). The WLE for men at age 30 was 30.3 years for the persistent low symptom trajectory, 22.8 years for the episodic before 40 trajectory, 19.6 years for the episodic around age 40 trajectory, 18.6 years for the episodic around age 50 trajectory, and 13.2 years for the persistent high symptom trajectory. Results were similar for women. WLE disparities between depression trajectories grew when stratified by race/ethnicity and education level. CONCLUSIONS Roughly a quarter of individuals experienced episodic depressive symptoms. However, despite periods of low depressive symptoms, individuals were expected to be employed ~5-17 years less at age 30 compared to those with low symptoms. Accessible employment and mental health disability support policies and programs across the working life course may be effective in maintaining work attachment and improving WLE among those who experience depression.
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Affiliation(s)
| | - Monique A M Gignac
- Institute for Work and Health, Toronto, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Cameron A Mustard
- Institute for Work and Health, Toronto, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
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2
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Cuomo A, Aguglia A, De Berardis D, Ventriglio A, Gesi C, Fagiolini A. Individualized strategies for depression: narrative review of clinical profiles responsive to vortioxetine. Ann Gen Psychiatry 2024; 23:20. [PMID: 38755657 PMCID: PMC11097484 DOI: 10.1186/s12991-024-00505-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Accepted: 05/03/2024] [Indexed: 05/18/2024] Open
Abstract
BACKGROUND Depression is a highly heterogeneous disorder, often resulting in suboptimal response and remission rates. This underscores the need for more nuanced clinical characterization of patients to tailor individualized treatment plans. Emerging evidence highlights the critical role of cognitive and emotional dysfunction in major depression, prompting the exploration of novel therapeutic interventions that target these specific symptom domains. MAIN TEXT Vortioxetine, a multimodal antidepressant, enhances serotonergic activity while also modulating several other neurotransmitter systems involved in depressive symptoms such as emotional blunting, anhedonia, and cognitive dysfunction. Numerous randomized, placebo-controlled trials have demonstrated vortioxetine's efficacy and safety in treating depression, particularly in specific subgroups of depressed patients, including those with cognitive deficits and comorbid anxiety symptoms or disorders. Although not randomized or placebo-controlled, studies have also shown vortioxetine's efficacy in depressed patients with emotional blunting or anhedonia. Vortioxetine's ability to effectively treat a range of depressive symptoms, including anhedonia, emotional blunting, anxiety, and cognitive dysfunction, provides an individualized treatment solution for depressed individuals suffering from these symptoms. The purpose of this paper is to identify clinical profiles of patients who may benefit from vortioxetine, with the goal of optimizing therapeutic outcomes. CONCLUSION Vortioxetine has been shown to be effective for patients with depression and symptoms such as anhedonia, emotional blunting, anxiety, and cognitive dysfunction. Tailoring treatment plans to individual needs and personalizing treatment choices based on the specific symptoms presented by depressed patients improve treatment outcomes.
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Affiliation(s)
- Alessandro Cuomo
- Department of Molecular and Developmental Medicine, University of Siena School of Medicine, Siena, Italy.
| | - Andrea Aguglia
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | | | - Antonio Ventriglio
- Department of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy
| | - Camilla Gesi
- Department of Mental Health and Addiction, ASST Fatebenfratelli-Sacco, Milan, Italy
| | - Andrea Fagiolini
- Department of Molecular and Developmental Medicine, University of Siena School of Medicine, Siena, Italy
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3
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Aggestrup AS, Martiny F, Lund Henriksen L, Davidsen AS, Martiny K. Interventions promoting recovery from depression for patients transitioning from outpatient mental health services to primary care: A scoping review. PLoS One 2024; 19:e0302229. [PMID: 38709769 PMCID: PMC11073719 DOI: 10.1371/journal.pone.0302229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Accepted: 03/28/2024] [Indexed: 05/08/2024] Open
Abstract
INTRODUCTION Major Depressive Disorder (MDD) is one of the most prevalent mental disorders worldwide with significant personal and public health consequences. After an episode of MDD, the likelihood of relapse is high. Therefore, there is a need for interventions that prevent relapse of depression when outpatient mental health care treatment has ended. This scoping review aimed to systematically map the evidence and identify knowledge gaps in interventions that aimed to promote recovery from MDD for patients transitioning from outpatient mental health services to primary care. MATERIALS AND METHODS We followed the guidance by Joanna Briggs Institute in tandem with the PRISMA extension for Scoping Reviews checklist. Four electronic databases were systematically searched using controlled index-or thesaurus terms and free text terms, as well as backward and forward citation tracking of included studies. The search strategy was based on the identification of any type of intervention, whether simple, multicomponent, or complex. Three authors independently screened for eligibility and extracted data. RESULTS 18 studies were included for review. The studies had high heterogeneity in design, methods, sample size, recovery rating scales, and type of interventions. All studies used several elements in their interventions; however, the majority used cognitive behavioural therapy conducted in outpatient mental health services. No studies addressed the transitioning phase from outpatient mental health services to primary care. Most studies included patients during their outpatient mental health care treatment of MDD. CONCLUSIONS We identified several knowledge gaps. Recovery interventions for patients with MDD transitioning from outpatient mental health services to primary care are understudied. No studies addressed interventions in this transitioning phase or the patient's experience of the transitioning process. Research is needed to bridge this gap, both regarding interventions for patients transitioning from secondary to primary care, and patients' and health care professionals' experiences of the interventions and of what promotes recovery. REGISTRATION A protocol was prepared in advance and registered in Open Science Framework (https://osf.io/ah3sv), published in the medRxiv server (https://doi.org/10.1101/2022.10.06.22280499) and in PLOS ONE (https://doi.org/10.1371/journal.pone.0291559).
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Affiliation(s)
- Anne Sofie Aggestrup
- The Research Unit for Mental Health Centre Copenhagen, Copenhagen Affective Disorder Research Centre (CADIC), New Interventions in Depression (NID) Group, Mental Health Services in the Capital Region of Denmark, University of Copenhagen, Frederiksberg Hospital, Frederiksberg, Denmark
| | - Frederik Martiny
- The Research Unit for and Section of General Practice, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
- Center for Social Medicine, Bispebjerg and Frederiksberg Hospital, Frederiksberg, Denmark
| | - Line Lund Henriksen
- The Research Unit for Mental Health Centre Copenhagen, Copenhagen Affective Disorder Research Centre (CADIC), New Interventions in Depression (NID) Group, Mental Health Services in the Capital Region of Denmark, University of Copenhagen, Frederiksberg Hospital, Frederiksberg, Denmark
| | - Annette Sofie Davidsen
- The Research Unit for and Section of General Practice, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Klaus Martiny
- The Research Unit for Mental Health Centre Copenhagen, Copenhagen Affective Disorder Research Centre (CADIC), New Interventions in Depression (NID) Group, Mental Health Services in the Capital Region of Denmark, University of Copenhagen, Frederiksberg Hospital, Frederiksberg, Denmark
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4
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Dai P, Zhou Y, Shi Y, Lu D, Chen Z, Zou B, Liu K, Liao S. Classification of MDD using a Transformer classifier with large-scale multisite resting-state fMRI data. Hum Brain Mapp 2024; 45:e26542. [PMID: 38088473 PMCID: PMC10789197 DOI: 10.1002/hbm.26542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 10/27/2023] [Accepted: 11/09/2023] [Indexed: 01/16/2024] Open
Abstract
Major depressive disorder (MDD) is one of the most common psychiatric disorders worldwide with high recurrence rate. Identifying MDD patients, particularly those with recurrent episodes with resting-state fMRI, may reveal the relationship between MDD and brain function. We proposed a Transformer-Encoder model, which utilized functional connectivity extracted from large-scale multisite rs-fMRI datasets to classify MDD and HC. The model discarded the Transformer's Decoder part, reducing the model's complexity and decreasing the number of parameters to adapt to the limited sample size and it does not require a complex feature selection process and achieves end-to-end classification. Additionally, our model is suitable for classifying data combined from multiple brain atlases and has an optional unsupervised pre-training module to acquire optimal initial parameters and speed up the training process. The model's performance was tested on a large-scale multisite dataset and identified brain regions affected by MDD using the Grad-CAM method. After conducting five-fold cross-validation, our model achieved an average classification accuracy of 68.61% on a dataset consisting of 1611 samples. For the selected recurrent MDD dataset, the model reached an average classification accuracy of 78.11%. Abnormalities were detected in the frontal gyri and cerebral cortex of MDD patients in both datasets. Furthermore, the identified brain regions in the recurrent MDD dataset generally exhibited a higher contribution to the model's performance.
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Affiliation(s)
- Peishan Dai
- School of Computer Science and EngineeringCentral South UniversityChangshaChina
| | - Ying Zhou
- School of Computer Science and EngineeringCentral South UniversityChangshaChina
| | - Yun Shi
- School of Computer Science and EngineeringCentral South UniversityChangshaChina
| | - Da Lu
- School of Computer Science and EngineeringCentral South UniversityChangshaChina
| | - Zailiang Chen
- School of Computer Science and EngineeringCentral South UniversityChangshaChina
| | - Beiji Zou
- School of Computer Science and EngineeringCentral South UniversityChangshaChina
| | - Kun Liu
- Brain Hospital of Hunan Province (The Second People's Hospital of Hunan Province)ChangshaChina
| | - Shenghui Liao
- School of Computer Science and EngineeringCentral South UniversityChangshaChina
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Gao P, Cao G, Liu J, Yang F, Liu M. Global, regional, and national trends in incidence of depression among women, 1990-2019: An analysis of the global burden of disease study. Psychiatry Res 2024; 331:115668. [PMID: 38101074 DOI: 10.1016/j.psychres.2023.115668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2023] [Revised: 08/30/2023] [Accepted: 12/05/2023] [Indexed: 12/17/2023]
Abstract
Depression is a common mental disorder and more women are affected by depression than men. In this study, we aimed to analyze the trends in the incidence of depression among women from 1990 to 2019 and their associations with sociodemographic and universal health coverage indices based on data from the Global Burden of Disease study 2019. It was observed that while the incidence rate of depression among women decreased by an average of 0.35% per year at the global level, the incidence rate increased at the regional level for the high sociodemographic index region by an average of 0.39% per year from 1990 to 2019. And the global downward trend in incidence rate from 1990 to 2019 was contributed by the downward trend from 2000 to 2009. In Spearman correlation analyzes at the level of country/territory, a negative correlation between the estimated annual percentage change in the incidence rate and the universal health coverage index was found (ρ=-0.15).
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Affiliation(s)
- Peng Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China, Address: No.38, Xueyuan Road, Haidian District, Beijing 100191, China
| | - Guiying Cao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China, Address: No.38, Xueyuan Road, Haidian District, Beijing 100191, China
| | - Jue Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China, Address: No.38, Xueyuan Road, Haidian District, Beijing 100191, China; Institute for Global Health and Development, Peking University, Beijing, China, Address: No.5, Yiheyuan Road, Haidian District, Beijing 100871, China
| | - Fude Yang
- Beijing Huilongguan Hospital, Peking University Huilonguan Clinical Medical School, Beijing, China, Address: No.7 Huilongguan Nandian Road, Changping District, Beijing 100096, China.
| | - Min Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China, Address: No.38, Xueyuan Road, Haidian District, Beijing 100191, China.
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Alcantarilla L, López-Castro M, Betriu M, Torres A, Garcia C, Solé E, Gelabert E, Roca-Lecumberri A. Risk factors for relapse or recurrence in women with bipolar disorder and recurrent major depressive disorder in the perinatal period: a systematic review. Arch Womens Ment Health 2023; 26:737-754. [PMID: 37718376 DOI: 10.1007/s00737-023-01370-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Accepted: 09/08/2023] [Indexed: 09/19/2023]
Abstract
It is well known that the perinatal period supposes a considerable risk of relapse for women with bipolar disorder (BD) and recurrent major depressive disorder (rMDD), with the consequences that this entails. Therefore, the authors sought to provide a critical appraisal of the evidence related to specific risk factors for this population with the aim of improving the prevention of relapses during pregnancy and postpartum. The authors conducted a systematic review assessing 18 original studies that provided data on risk factors for relapse or recurrence of BD and/or rMDD in the perinatal period (pregnancy and postpartum). Recurrences of BD and rMDD are more frequent in the postpartum period than in pregnancy, with the first 4-6 weeks postpartum being especially complicated. In addition, women with BD type I are at higher risk than those with BD type II and rMDD, and the most frequent presentation of perinatal episodes of both disorders is a major depressive episode. Other risk factors consistently repeated were early age of onset of illnesses, severity criteria, primiparity, abrupt discontinuation of treatment, and personal or family history of perinatal affective episodes. This review shows that there are common and different risk factors according to the type of disorder and to perinatal timing (pregnancy or postpartum) that should be known for an adequate prevention of relapses.
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Affiliation(s)
- Laura Alcantarilla
- Perinatal Mental Health Unit CLINIC_BCN, Hospital Clínic de Barcelona, Barcelona, Spain
- Psychiatry Service, Hospital de Sagunto, Valencia, Spain
| | - María López-Castro
- Perinatal Mental Health Unit CLINIC_BCN, Hospital Clínic de Barcelona, Barcelona, Spain
- Psychiatry Service, Sant Pau's Biomedical Research Institute (IIB-SANT PAU), Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Maria Betriu
- Perinatal Mental Health Unit CLINIC_BCN, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Anna Torres
- Perinatal Mental Health Unit CLINIC_BCN, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Cristina Garcia
- Perinatal Mental Health Unit CLINIC_BCN, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Eva Solé
- Perinatal Mental Health Unit CLINIC_BCN, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Estel Gelabert
- Department of Clinical Psychology and Health, Autonomous University of Barcelona, Barcelona, Spain
| | - Alba Roca-Lecumberri
- Perinatal Mental Health Unit CLINIC_BCN, Hospital Clínic de Barcelona, Barcelona, Spain.
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Prasad N, Chien I, Regan T, Enrique A, Palacios J, Keegan D, Munir U, Tanno R, Richardson H, Nori A, Richards D, Doherty G, Belgrave D, Thieme A. Deep learning for the prediction of clinical outcomes in internet-delivered CBT for depression and anxiety. PLoS One 2023; 18:e0272685. [PMID: 38011176 PMCID: PMC10681250 DOI: 10.1371/journal.pone.0272685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2022] [Accepted: 11/02/2023] [Indexed: 11/29/2023] Open
Abstract
In treating depression and anxiety, just over half of all clients respond. Monitoring and obtaining early client feedback can allow for rapidly adapted treatment delivery and improve outcomes. This study seeks to develop a state-of-the-art deep-learning framework for predicting clinical outcomes in internet-delivered Cognitive Behavioural Therapy (iCBT) by leveraging large-scale, high-dimensional time-series data of client-reported mental health symptoms and platform interaction data. We use de-identified data from 45,876 clients on SilverCloud Health, a digital platform for the psychological treatment of depression and anxiety. We train deep recurrent neural network (RNN) models to predict whether a client will show reliable improvement by the end of treatment using clinical measures, interaction data with the iCBT program, or both. Outcomes are based on total improvement in symptoms of depression (Patient Health Questionnaire-9, PHQ-9) and anxiety (Generalized Anxiety Disorder-7, GAD-7), as reported within the iCBT program. Using internal and external datasets, we compare the proposed models against several benchmarks and rigorously evaluate them according to their predictive accuracy, sensitivity, specificity and AUROC over treatment. Our proposed RNN models consistently predict reliable improvement in PHQ-9 and GAD-7, using past clinical measures alone, with above 87% accuracy and 0.89 AUROC after three or more review periods, outperforming all benchmark models. Additional evaluations demonstrate the robustness of the achieved models across (i) different health services; (ii) geographic locations; (iii) iCBT programs, and (iv) client severity subgroups. Results demonstrate the robust performance of dynamic prediction models that can yield clinically helpful prognostic information ready for implementation within iCBT systems to support timely decision-making and treatment adjustments by iCBT clinical supporters towards improved client outcomes.
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Affiliation(s)
- Niranjani Prasad
- Microsoft Health Futures, Microsoft Research, Cambridge, United Kingdom
| | | | - Tim Regan
- Cambridge Respiratory Innovations, Cambridge, United Kingdom
| | - Angel Enrique
- SilverCloud Science, SilverCloud Health, Dublin, Ireland
- E-Mental Health Group, School of Psychology, Trinity College Dublin, Dublin, Ireland
| | - Jorge Palacios
- SilverCloud Science, SilverCloud Health, Dublin, Ireland
- E-Mental Health Group, School of Psychology, Trinity College Dublin, Dublin, Ireland
| | - Dessie Keegan
- SilverCloud Science, SilverCloud Health, Dublin, Ireland
| | - Usman Munir
- Microsoft Health Futures, Microsoft Research, Cambridge, United Kingdom
| | | | - Hannah Richardson
- Microsoft Health Futures, Microsoft Research, Cambridge, United Kingdom
| | - Aditya Nori
- Microsoft Health Futures, Microsoft Research, Cambridge, United Kingdom
| | - Derek Richards
- SilverCloud Science, SilverCloud Health, Dublin, Ireland
- E-Mental Health Group, School of Psychology, Trinity College Dublin, Dublin, Ireland
| | - Gavin Doherty
- SilverCloud Science, SilverCloud Health, Dublin, Ireland
- School of Computer Science and Statistics, Trinity College Dublin, Dublin, Ireland
| | | | - Anja Thieme
- Microsoft Health Futures, Microsoft Research, Cambridge, United Kingdom
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8
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Shan M, Yang Z, Sun Z, Yang Y, Cheng Q, Pan Y. Association between platelet to lymphocyte ratio and depression and symptom severity among adults in the United States: A cross-sectional study. Heliyon 2023; 9:e20127. [PMID: 37809517 PMCID: PMC10559847 DOI: 10.1016/j.heliyon.2023.e20127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Revised: 09/11/2023] [Accepted: 09/12/2023] [Indexed: 10/10/2023] Open
Abstract
Background The pathogenesis of depression has not yet been fully understood. The association between platelet to lymphocyte ratio (PLR) and depression has been investigated in previous studies, however, the results were controversial. The objective of the study was to explore the potential relationship between PLR and depression and symptom severity. Methods A cross-sectional study was conducted based on the National Health and Nutrition Examination Survey (NHANES) data from 2005 to 2018. Totally 30,032 adults were analyzed, and 2480 reported depression. Depression and symptom severity were assessed with the Patient Health Questionnaire (PHQ-9). PLR was calculated as the ratio of platelets to lymphocytes. Multivariable weighted-logistic regression models and generalized additive model (GAM) were employed to evaluate the linear and nonlinear association between PLR and depression and symptom severity. Results There was a negative association for Q3 (odds ratio [OR]: 0.82, 95% confidence interval [CI]: 0.68 to 0.99) when comparing participants for Q1 between 10-PLR and depression after fully adjusting the covariates; however, there was no significant association between 10-PLR and symptom severity. GAM showed that 10-PLR was associated with depression and symptom severity in a nonlinear manner. The inflection points were at 12.15. Subgroup analyses showed nonlinear relationships only in specific subgroups. Conclusions: PLR is associated with depression among adults in the United States. U-shaped nonlinear relationships and threshold effects were observed between 10-PLR and depression and symptom severity. Additionally, inflammatory mechanisms vary in different sociodemographic subgroups.
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Affiliation(s)
- Moshui Shan
- Department of Psychiatry, The 967th Hospital of the Chinese PLA Joint Logistics Support Force, Dalian, China
| | - Zhi Yang
- Department of Pharmacy, The 967th Hospital of the Chinese PLA Joint Logistics Support Force, Dalian, China
| | - Zhonghua Sun
- Department of Psychiatry, The 967th Hospital of the Chinese PLA Joint Logistics Support Force, Dalian, China
| | - Yi Yang
- Department of Psychiatry, The 967th Hospital of the Chinese PLA Joint Logistics Support Force, Dalian, China
| | - Qi Cheng
- Department of Psychiatry, The 904th Hospital of the Chinese PLA Joint Logistics Support Force, Changzhou, China
| | - Yu Pan
- Department of Medical Psychology, The First Medical Center, Chinese PLA General Hospital, Beijing, China
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9
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Xiao C, Zhou J, Li A, Zhang L, Zhu X, Zhou J, Hu Y, Zheng Y, Liu J, Deng Q, Wang H, Wang G. Esketamine vs Midazolam in Boosting the Efficacy of Oral Antidepressants for Major Depressive Disorder: A Pilot Randomized Clinical Trial. JAMA Netw Open 2023; 6:e2328817. [PMID: 37578792 PMCID: PMC10425830 DOI: 10.1001/jamanetworkopen.2023.28817] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Accepted: 06/30/2023] [Indexed: 08/15/2023] Open
Abstract
Importance Loss of a previously effective response while still using adequate antidepressant treatment occurs in a relatively high proportion of patients with major depressive disorder (MDD); therefore, there is a need to develop novel effective treatment strategies. Objective To assess the efficacy and safety of a single subanesthetic dose of esketamine in boosting the efficacy of oral antidepressants for treating fluctuating antidepressant response in MDD. Design, Setting, and Participants This single-center, double-blind, midazolam-controlled pilot randomized clinical trial was conducted at Beijing Anding Hospital, Capital Medical University in China. The study enrolled participants aged 18 years and older with fluctuating antidepressant response, defined as patients with MDD experiencing fluctuating symptoms after symptom relief and stabilization. Patient recruitment was conducted from August 2021 to January 2022, and participants were followed-up for 6 weeks. Data were analyzed as intention-to-treat from July to September 2022. Interventions All participants in the esketamine-treated group received intravenous esketamine at 0.2 mg/kg in 40 minutes. Participants in the midazolam control group received intravenous midazolam at 0.045 mg/kg in 40 minutes. Main Outcomes and Measures The primary outcome was the response rate at 2 weeks, defined as a 50% reduction in Montgomery-Åsberg Depression Rating Scale (MADRS). Secondary outcomes included response rate at 6 weeks, remission rates at 2 and 6 weeks, and change in MADRS and Clinical Global Impression-Severity score from baseline to 6 weeks; remission was defined by a MADRS score of 10 or lower. Results A total of 30 patients (median [IQR] age, 28.0 [24.0-40.0] years; 17 [56.7%] female) were randomized, including 15 patients randomized to midazolam and 15 patients randomized to esketamine; 29 patients completed the study. Response rates at 2 weeks were significantly higher in the esketamine-treated group than in the midazolam control group (10 patients [66.7%] vs 1 patient [6.7%]; P < .001). Participants treated with esketamine experienced significantly greater reduction in MADRS score from baseline to 2 weeks compared with those treated with midazolam (mean [SD] reduction, 15.7 [1.5] vs 3.1 [1.3]; P < .001). No serious adverse events were observed in this trial, and no psychotogenic effects and clinically significant manic symptoms were reported. Conclusions and Relevance This pilot randomized clinical trial found that a single subanesthetic dose of esketamine could boost the efficacy of oral antidepressants in treating fluctuating antidepressant response, with a good safety profile. Trial Registration Chinese Clinical Trial Registry Identifier: ChiCTR2100050335.
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Affiliation(s)
- Chunfeng Xiao
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Jia Zhou
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Anning Li
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Ling Zhang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Xuequan Zhu
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Jingjing Zhou
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Yongdong Hu
- Unit of Psychological Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Yunying Zheng
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Jing Liu
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Qiying Deng
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Haibo Wang
- Peking University Clinical Research Institute, Peking University First Hospital, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases, Peking University, Ministry of Education
| | - Gang Wang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
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10
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Godara M, Sanchez-Lopez A, De Raedt R. The contextual goal dependent attentional flexibility (CoGoDAF) framework: A new approach to attention bias in depression. Behav Res Ther 2023; 167:104354. [PMID: 37343329 DOI: 10.1016/j.brat.2023.104354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2022] [Revised: 05/30/2023] [Accepted: 06/09/2023] [Indexed: 06/23/2023]
Abstract
Successful adaptation to the environment requires attentional prioritization of emotional information relevant to the current situational demands. Accordingly, the presence of an attention bias (AB) for both positive and negative information may allow preferential processing of stimuli in line with the current situational goals. However, AB for negative information sometimes becomes maladaptive, being antithetical to the current adaptive needs and goals of an individual, such as in the case of affective disorders such as depression. Although difficulties in flexible shifting between emotional stimuli in depression have increasingly become a topic of discussion in the field, an integrative approach towards biased versus flexible emotional attentional processes remains absent. In the present paper, we advance a novel and integrative view of conceptualizing potentially aberrant affective attention patterns in depression as a function of the current contextual features. We propose that flexible emotional attention takes place as a result of attention prioritization towards goal-relevant emotional stimuli depending upon the current context of the individual. Specifically, the roles of context, distal and proximal goals, and approach and avoidance motivation processes are considered in a unified manner. The empirical, clinical, and interventional implications of this integrative framework provide a roadmap for future psychological and neurobiological experimental and translational research.
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Affiliation(s)
- Malvika Godara
- Department of Experimental Clinical & Health Psychology, Ghent University, Belgium.
| | | | - Rudi De Raedt
- Department of Experimental Clinical & Health Psychology, Ghent University, Belgium
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11
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Suvada K, Ali MK, Chwastiak L, Poongothai S, Emmert-Fees KMF, Anjana RM, Sagar R, Shankar R, Sridhar GR, Kasuri M, Sosale AR, Sosale B, Rao D, Tandon N, Narayan KMV, Mohan V, Patel SA. Long-term Effects of a Collaborative Care Model on Metabolic Outcomes and Depressive Symptoms: 36-Month Outcomes from the INDEPENDENT Intervention. J Gen Intern Med 2023; 38:1623-1630. [PMID: 36596908 PMCID: PMC10212897 DOI: 10.1007/s11606-022-07958-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 11/15/2022] [Indexed: 01/05/2023]
Abstract
BACKGROUND Collaborative care (CC) is a multicomponent team-based approach to providing mental health care with systematic integration into outpatient medical settings. The 12-month INDEPENDENT CC intervention improved joint disease control measures in patients with both depression and diabetes at 12 and 24 months following randomization. OBJECTIVE This study investigated the durability of intervention effects on patient outcomes at 36 months following randomization. PARTICIPANTS Adult patients with poorly controlled T2D and depression in India randomized to CC or usual care. DESIGN Post hoc analyses of between-group differences in patient outcomes at 36 months post-randomization (N = 331) and maintenance of outcomes from 12 to 36 months (N = 314). MAIN MEASURES We evaluated combined risk factor improvement since baseline, defined as ≥ 50.0% reduction in Symptom Checklist Depression Scale (SCL-20) scores along with reduction of at least 0.5 percentage point hemoglobin A1C, 5 mmHg systolic blood pressure, or 10 mg/dL low-density lipoprotein cholesterol. Improvements in single risk factors were also examined. KEY RESULTS There were no between-group differences in improvements since baseline in multiple or single risk factors at 36 months. Patients in the CC group with improved outcomes at 12 months were more likely to maintain a ≥ 50.0% reduction since baseline in SCL-20 scores (CC [54.9%] vs. UC [40.9%]; RR: 1.27 [95% CI: 1.04, 1.56]) and 0.5 percentage point reduction since baseline in hemoglobin A1C (CC [31.9%] vs. UC [19.5%]; RR: 1.64 [95% CI: 1.11, 2.41]) at 36 months. CONCLUSIONS While improvements since baseline in patient outcomes did not differ between the collaborative care and usual care groups at 36 months, patients who received CC were more likely to maintain improvements in depressive symptoms and glucose levels at 36 months if they had achieved these improvements at the end of active intervention. TRIAL REGISTRATION NUMBER NCT02022111.
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Affiliation(s)
- Kara Suvada
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA.
| | - Mohammed K Ali
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
- Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA, USA
| | - Lydia Chwastiak
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, USA
- Department of Global Health, University of Washington, Seattle, USA
| | - Subramani Poongothai
- Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, Chennai, India
| | - Karl M F Emmert-Fees
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
- Institute for Health Economics and Health Care Management, Helmholtz Zentrum München, Munich, Germany
- Department of Sport and Health Sciences, Technical University of Munich, Munich, Germany
| | - Ranjit Mohan Anjana
- Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, Chennai, India
| | - Rajesh Sagar
- Department of Psychiatry, All India Institute of Medical Sciences, Delhi, India
| | - Radha Shankar
- Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, Chennai, India
| | | | - Madhu Kasuri
- Diabetes Care and Research Center, Diacon Hospital, Bangalore, India
| | - Aravind R Sosale
- Diabetes Care and Research Center, Diacon Hospital, Bangalore, India
| | - Bhavana Sosale
- Diabetes Care and Research Center, Diacon Hospital, Bangalore, India
| | - Deepa Rao
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, USA
- Department of Global Health, University of Washington, Seattle, USA
| | - Nikhil Tandon
- Department of Endocrinology & Metabolism, All India Institute of Medical Sciences, Delhi, India
| | - K M Venkat Narayan
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Viswanathan Mohan
- Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, Chennai, India
| | - Shivani A Patel
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
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12
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Jensen KHR, Dam VH, Ganz M, Fisher PM, Ip CT, Sankar A, Marstrand-Joergensen MR, Ozenne B, Osler M, Penninx BWJH, Pinborg LH, Frokjaer VG, Knudsen GM, Jørgensen MB. Deep phenotyping towards precision psychiatry of first-episode depression - the Brain Drugs-Depression cohort. BMC Psychiatry 2023; 23:151. [PMID: 36894940 PMCID: PMC9999625 DOI: 10.1186/s12888-023-04618-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Accepted: 02/19/2023] [Indexed: 03/11/2023] Open
Abstract
BACKGROUND Major Depressive Disorder (MDD) is a heterogenous brain disorder, with potentially multiple psychosocial and biological disease mechanisms. This is also a plausible explanation for why patients do not respond equally well to treatment with first- or second-line antidepressants, i.e., one-third to one-half of patients do not remit in response to first- or second-line treatment. To map MDD heterogeneity and markers of treatment response to enable a precision medicine approach, we will acquire several possible predictive markers across several domains, e.g., psychosocial, biochemical, and neuroimaging. METHODS All patients are examined before receiving a standardised treatment package for adults aged 18-65 with first-episode depression in six public outpatient clinics in the Capital Region of Denmark. From this population, we will recruit a cohort of 800 patients for whom we will acquire clinical, cognitive, psychometric, and biological data. A subgroup (subcohort I, n = 600) will additionally provide neuroimaging data, i.e., Magnetic Resonance Imaging, and Electroencephalogram, and a subgroup of patients from subcohort I unmedicated at inclusion (subcohort II, n = 60) will also undergo a brain Positron Emission Tomography with the [11C]-UCB-J tracer binding to the presynaptic glycoprotein-SV2A. Subcohort allocation is based on eligibility and willingness to participate. The treatment package typically lasts six months. Depression severity is assessed with the Quick Inventory of Depressive Symptomatology (QIDS) at baseline, and 6, 12 and 18 months after treatment initiation. The primary outcome is remission (QIDS ≤ 5) and clinical improvement (≥ 50% reduction in QIDS) after 6 months. Secondary endpoints include remission at 12 and 18 months and %-change in QIDS, 10-item Symptom Checklist, 5-item WHO Well-Being Index, and modified Disability Scale from baseline through follow-up. We also assess psychotherapy and medication side-effects. We will use machine learning to determine a combination of characteristics that best predict treatment outcomes and statistical models to investigate the association between individual measures and clinical outcomes. We will assess associations between patient characteristics, treatment choices, and clinical outcomes using path analysis, enabling us to estimate the effect of treatment choices and timing on the clinical outcome. DISCUSSION The BrainDrugs-Depression study is a real-world deep-phenotyping clinical cohort study of first-episode MDD patients. TRIAL REGISTRATION Registered at clinicaltrials.gov November 15th, 2022 (NCT05616559).
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Affiliation(s)
- Kristian Høj Reveles Jensen
- BrainDrugs, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark.,Neurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.,Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.,Psychiatric Centre Copenhagen, Copenhagen, Denmark
| | - Vibeke H Dam
- BrainDrugs, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark.,Neurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Melanie Ganz
- Neurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.,Department of Computer Science, University of Copenhagen, Copenhagen, Denmark
| | - Patrick MacDonald Fisher
- BrainDrugs, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark.,Neurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Cheng-Teng Ip
- Neurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.,Center for Cognitive and Brain Sciences, University of Macau, Taipa, Macau SAR, China
| | - Anjali Sankar
- BrainDrugs, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark.,Neurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Maja Rou Marstrand-Joergensen
- BrainDrugs, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark.,Neurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.,Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.,Department of Neurology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Brice Ozenne
- Neurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.,Department of Public Health, Section of Biostatistics, University of Copenhagen, Copenhagen, Denmark
| | - Merete Osler
- Center for Clinical Research and Prevention, Bispebjerg & Frederiksberg Hospitals, Copenhagen, Denmark.,Department of Public Health, Section of Epidemiology, University of Copenhagen, Copenhagen, Denmark
| | - Brenda W J H Penninx
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit, Amsterdam, the Netherlands
| | - Lars H Pinborg
- BrainDrugs, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark.,Neurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.,Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.,Department of Neurology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Vibe Gedsø Frokjaer
- BrainDrugs, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark.,Neurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.,Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.,Psychiatric Centre Copenhagen, Copenhagen, Denmark
| | - Gitte Moos Knudsen
- BrainDrugs, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark.,Neurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.,Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.,Department of Neurology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Martin Balslev Jørgensen
- BrainDrugs, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark. .,Neurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark. .,Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark. .,Psychiatric Centre Copenhagen, Copenhagen, Denmark.
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13
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Robberegt SJ, Brouwer ME, Kooiman BEAM, Stikkelbroek YAJ, Nauta MH, Bockting CLH. Meta-Analysis: Relapse Prevention Strategies for Depression and Anxiety in Remitted Adolescents and Young Adults. J Am Acad Child Adolesc Psychiatry 2023; 62:306-317. [PMID: 35513189 DOI: 10.1016/j.jaac.2022.04.014] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Revised: 04/06/2022] [Accepted: 04/21/2022] [Indexed: 11/25/2022]
Abstract
OBJECTIVE Depression and anxiety cause a high burden of disease and have high relapse rates (39%-72%). This meta-analysis systematically examined effectiveness of relapse prevention strategies on risk of and time to relapse in youth who remitted. METHOD PubMed, PsycInfo, Embase, Cochrane, and ERIC databases were searched up to June 15, 2021. Eligible studies compared relapse prevention strategies to control conditions among youth (mean age 13-25 years) who were previously depressed or anxious or with ≥30% improvement in symptoms. Two reviewers independently assessed titles, abstracts, and full texts; extracted study data; and assessed risk of bias and overall strength of evidence. Random-effects models were used to pool results, and mixed-effects models were used for subgroup analyses. Main outcome was relapse rate at last follow-up (PROSPERO ID: CRD42020149326). RESULTS Of 10 randomized controlled trials (RCTs) that examined depression, 9 were eligible for analysis: 4 included psychological interventions (n = 370), 3 included antidepressants (n = 80), and 2 included combinations (n = 132). No RCTs for anxiety were identified. Over 6 to 75 months, relapse was half as likely following psychological treatment compared with care as usual conditions (k = 6; odds ratio 0.56, 95% CI 0.31 to 1.00). Sensitivity analyses including only studies with ≥50 participants (k = 3), showed similar results. Over 6 to 12 months, relapse was less likely in youth receiving antidepressants compared with youth receiving pill placebo (k = 3; OR 0.29, 95% CI 0.10 to 0.82). Quality of studies was suboptimal. CONCLUSION Relapse prevention strategies for youth depression reduce risk of relapse, although adequately powered, high-quality RCTs are needed. This finding, together with the lack of RCTs on anxiety, underscores the need to examine relapse prevention in youth facing these common mental health conditions.
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Affiliation(s)
- Suzanne J Robberegt
- Amsterdam University Medical Centers, University of Amsterdam, the Netherlands; Depression Expertise Centre-Youth, GGZ Oost Brabant, the Netherlands
| | - Marlies E Brouwer
- Amsterdam University Medical Centers, University of Amsterdam, the Netherlands
| | - Bas E A M Kooiman
- Depression Expertise Centre-Youth, GGZ Oost Brabant, the Netherlands; University of Groningen, the Netherlands
| | - Yvonne A J Stikkelbroek
- Depression Expertise Centre-Youth, GGZ Oost Brabant, the Netherlands; Utrecht University, the Netherlands
| | - Maaike H Nauta
- University of Groningen, the Netherlands; Accare Child Study Centre, the Netherlands
| | - Claudi L H Bockting
- Amsterdam University Medical Centers, University of Amsterdam, the Netherlands; Centre for Urban Mental Health, University of Amsterdam, the Netherlands.
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14
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Benatti B, Girone N, Conti D, Cocchi M, Achilli F, Leo S, Putti G, Bosi M, Dell’Osso B. The Role of Lifestyle on Adherence to Treatment in a Sample of Patients with Unipolar and Bipolar Depression. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:ijerph20031994. [PMID: 36767361 PMCID: PMC9915922 DOI: 10.3390/ijerph20031994] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Revised: 01/18/2023] [Accepted: 01/19/2023] [Indexed: 06/01/2023]
Abstract
Introduction: Poor adherence to treatment is currently stated to be one of the causes of depression relapse and recurrence. The aim of the present study is to assess potential differences in terms of clinical and lifestyle features related to adherence to treatment in a sample of patients with unipolar and bipolar depression. Methods: One hundred and eight patients with a diagnosis of unipolar or bipolar depressive episode were recruited from January 2021 to October 2022. Adherence to psychopharmacological treatment was assessed using the clinician rating scale. Descriptive and association analyses were performed to compare subgroups based on adherence to treatment. Results: Lower levels of adherence to treatment were associated with fewer years of education, work impairment, manic prevalent polarity lifetime, and greater comorbidity with alcohol and drug abuse. The majority of patients with positive adherence did not report any hospitalization and involuntary commitment lifetime. Conclusions: Patients with a positive treatment adherence showed significant differences in terms of lifestyle and clinical features compared to non-adherent patients. Our results may help to identify patients more likely to have poor medication adherence, which seem to lead to a worse disease course and quality of life.
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Affiliation(s)
- Beatrice Benatti
- Department of Mental Health, Department of Biomedical and Clinical Sciences Luigi Sacco, University of Milan, 20122 Milan, Italy
- “Aldo Ravelli” Center for Neurotechnology and Brain Therapeutic, University of Milan, 20122 Milan, Italy
| | - Nicolaja Girone
- Department of Mental Health, Department of Biomedical and Clinical Sciences Luigi Sacco, University of Milan, 20122 Milan, Italy
| | - Dario Conti
- Department of Mental Health, Department of Biomedical and Clinical Sciences Luigi Sacco, University of Milan, 20122 Milan, Italy
| | - Maddalena Cocchi
- Department of Mental Health, Department of Biomedical and Clinical Sciences Luigi Sacco, University of Milan, 20122 Milan, Italy
| | - Francesco Achilli
- Department of Mental Health, Department of Biomedical and Clinical Sciences Luigi Sacco, University of Milan, 20122 Milan, Italy
| | - Silvia Leo
- Department of Mental Health, Department of Biomedical and Clinical Sciences Luigi Sacco, University of Milan, 20122 Milan, Italy
| | - Gianmarco Putti
- Department of Mental Health, Department of Biomedical and Clinical Sciences Luigi Sacco, University of Milan, 20122 Milan, Italy
| | - Monica Bosi
- Department of Mental Health, Department of Biomedical and Clinical Sciences Luigi Sacco, University of Milan, 20122 Milan, Italy
| | - Bernardo Dell’Osso
- Department of Mental Health, Department of Biomedical and Clinical Sciences Luigi Sacco, University of Milan, 20122 Milan, Italy
- “Aldo Ravelli” Center for Neurotechnology and Brain Therapeutic, University of Milan, 20122 Milan, Italy
- Department of Psychiatry and Behavioral Sciences, Bipolar Disorders Clinic, Stanford University, Stanford, CA 94305, USA
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15
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Robberegt SJ, Kooiman BEAM, Albers CJ, Nauta MH, Bockting C, Stikkelbroek Y. Personalised app-based relapse prevention of depressive and anxiety disorders in remitted adolescents and young adults: a protocol of the StayFine RCT. BMJ Open 2022; 12:e058560. [PMID: 36521888 PMCID: PMC9756181 DOI: 10.1136/bmjopen-2021-058560] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
INTRODUCTION Youth in remission of depression or anxiety have high risks of relapse. Relapse prevention interventions may prevent chronicity. Aim of the study is therefore to (1) examine efficacy of the personalised StayFine app for remitted youth and (2) identify high-risk groups for relapse and resilience. METHOD AND ANALYSIS In this Dutch single-blind parallel-group randomised controlled trial, efficacy of app-based monitoring combined with guided app-based personalised StayFine intervention modules is assessed compared with monitoring only. In both conditions, care as usual is allowed. StayFine modules plus monitoring is hypothesised to be superior to monitoring only in preventing relapse over 36 months. Participants (N=254) are 13-21 years and in remission of depression or anxiety for >2 months. Randomisation (1:1) is stratified by previous treatment (no treatment vs treatment) and previous episodes (1, 2 or >3 episodes). Assessments include diagnostic interviews, online questionnaires and monitoring (ecological momentary assessment with optional wearable) after 0, 4, 12, 24 and 36 months. The StayFine modules are guided by certified experts by experience and based on preventive cognitive therapy and ingredients of cognitive behavioural therapy. Personalisation is based on shared decision-making informed by baseline assessments and individual symptom networks. Time to relapse (primary outcome) is assessed by the Kiddie Schedule for Affective Disorders and Schizophrenia-lifetime version diagnostic interview. Intention-to-treat survival analyses will be used to examine the data. Secondary outcomes are symptoms of depression and anxiety, number and duration of relapses, global functioning, and quality of life. Mediators and moderators will be explored. Exploratory endpoints are monitoring and wearable outcomes. ETHICS, FUNDING AND DISSEMINATION The study was approved by METC Utrecht and is funded by the Netherlands Organisation for Health Research and Development (636310007). Results will be submitted to peer-reviewed scientific journals and presented at (inter)national conferences. TRIAL REGISTRATION NUMBER NCT05551468; NL8237.
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Affiliation(s)
- Suzanne J Robberegt
- Department of Psychiatry, Amsterdam UMC Location AMC, Amsterdam, The Netherlands
- Depression Expertise Centre-Youth, GGZ Oost Brabant, Boekel, The Netherlands
| | - Bas E A M Kooiman
- Depression Expertise Centre-Youth, GGZ Oost Brabant, Boekel, The Netherlands
- Department of Clinical Psychology and Experimental Psychopathology, Faculty of Behavioural and Social Sciences, University of Groningen, Groningen, The Netherlands
| | - Casper J Albers
- Department of Psychometrics and Statistics, Faculty of Behavioural and Social Sciences, University of Groningen, Groningen, The Netherlands
| | - Maaike H Nauta
- Department of Clinical Psychology and Experimental Psychopathology, Faculty of Behavioural and Social Sciences, University of Groningen, Groningen, The Netherlands
- Child Study Centre, Accare, Groningen, The Netherlands
| | - Claudi Bockting
- Department of Psychiatry, Amsterdam UMC Location AMC, Amsterdam, The Netherlands
- Centre for Urban Mental Health, University of Amsterdam, Amsterdam, The Netherlands
| | - Yvonne Stikkelbroek
- Depression Expertise Centre-Youth, GGZ Oost Brabant, Boekel, The Netherlands
- Department of Clinical Child and Family Studies, Faculty of Social and Behavioural Sciences, Utrecht University, Utrecht, The Netherlands
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16
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Moriarty AS, Meader N, Snell KIE, Riley RD, Paton LW, Dawson S, Hendon J, Chew-Graham CA, Gilbody S, Churchill R, Phillips RS, Ali S, McMillan D. Predicting relapse or recurrence of depression: systematic review of prognostic models. Br J Psychiatry 2022; 221:448-458. [PMID: 35048843 DOI: 10.1192/bjp.2021.218] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
BACKGROUND Relapse and recurrence of depression are common, contributing to the overall burden of depression globally. Accurate prediction of relapse or recurrence while patients are well would allow the identification of high-risk individuals and may effectively guide the allocation of interventions to prevent relapse and recurrence. AIMS To review prognostic models developed to predict the risk of relapse, recurrence, sustained remission, or recovery in adults with remitted major depressive disorder. METHOD We searched the Cochrane Library (current issue); Ovid MEDLINE (1946 onwards); Ovid Embase (1980 onwards); Ovid PsycINFO (1806 onwards); and Web of Science (1900 onwards) up to May 2021. We included development and external validation studies of multivariable prognostic models. We assessed risk of bias of included studies using the Prediction model risk of bias assessment tool (PROBAST). RESULTS We identified 12 eligible prognostic model studies (11 unique prognostic models): 8 model development-only studies, 3 model development and external validation studies and 1 external validation-only study. Multiple estimates of performance measures were not available and meta-analysis was therefore not necessary. Eleven out of the 12 included studies were assessed as being at high overall risk of bias and none examined clinical utility. CONCLUSIONS Due to high risk of bias of the included studies, poor predictive performance and limited external validation of the models identified, presently available clinical prediction models for relapse and recurrence of depression are not yet sufficiently developed for deploying in clinical settings. There is a need for improved prognosis research in this clinical area and future studies should conform to best practice methodological and reporting guidelines.
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Affiliation(s)
- Andrew S Moriarty
- Mental Health and Addiction Research Group, Department of Health Sciences, University of York, UK and Hull York Medical School, University of York, UK
| | - Nicholas Meader
- Centre for Reviews and Dissemination, University of York, UK and Cochrane Common Mental Disorders, University of York, UK
| | - Kym I E Snell
- Centre for Prognosis Research, School of Medicine, Keele University, UK
| | - Richard D Riley
- Centre for Prognosis Research, School of Medicine, Keele University, UK
| | - Lewis W Paton
- Mental Health and Addiction Research Group, Department of Health Sciences, University of York, UK
| | - Sarah Dawson
- Cochrane Common Mental Disorders, University of York, UK and Bristol Medical School, University of Bristol, UK
| | - Jessica Hendon
- Centre for Reviews and Dissemination, University of York, UK and Cochrane Common Mental Disorders, University of York, UK
| | | | - Simon Gilbody
- Mental Health and Addiction Research Group, Department of Health Sciences, University of York, UK and Hull York Medical School, University of York, UK
| | - Rachel Churchill
- Centre for Reviews and Dissemination, University of York, UK and Cochrane Common Mental Disorders, University of York, UK
| | | | - Shehzad Ali
- Mental Health and Addiction Research Group, Department of Health Sciences, University of York, UK and Department of Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, Western University, Canada
| | - Dean McMillan
- Mental Health and Addiction Research Group, Department of Health Sciences, University of York, UK and Hull York Medical School, University of York, UK
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17
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Otto MW, Birk JL, Fitzgerald HE, Chauvin GV, Gold AK, Carl JR. Stage models for major depression: Cognitive behavior therapy, mechanistic treatment targets, and the prevention of stage transition. Clin Psychol Rev 2022; 95:102172. [DOI: 10.1016/j.cpr.2022.102172] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 04/12/2022] [Accepted: 05/18/2022] [Indexed: 11/17/2022]
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18
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TIBA AI, VOSS L. " A Motor Imagery Training for Improving Action Cognition Results in the Reduction of Residual Symptoms after Major Depressive Disorder: A Single-Case Study". JOURNAL OF EVIDENCE-BASED PSYCHOTHERAPIES 2022. [DOI: 10.24193/jebp.2022.1.8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
The high rate of recurrence and residual symptoms of depression continuously motivate the search for new treatments addressing this challenging condition. In this single-case study, we reported the application of a cognitive rehabilitation skills training based on remote kinematics as a treatment for residual depression by targeting deficits of mental simulations of action. We found that the administration of Kinect-based rehabilitation training resulted in important improvements showed by significant mean baseline reductions (MBLR) of difficulty in imagining positive actions (MBLR= 54 %), negative emotions (MBLR = 36.3 %), cognitive flexibility (MBLR= 69.7 %), depressive symptoms (MBLR= 80%), and physical retardation (MBLR= 50 %). Similarly, improvements in positive affect (MBLR = 107 %) and vividness of motor imagery for positive actions were registered (MBLR= 100 %). We also found unique effects of our intervention such as reports of involuntary action simulations to distant stimuli or extended affordances. The training was well-accepted and the patient considered it was an entertaining way to do physical exercises and to get in physical and mental shape. We concluded that further scientific research of remote Kinematic interventions in depression may be warranted.
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Initial Severity and Depressive Relapse in Cognitive Behavioral Therapy and Antidepressant Medications: An Individual Patient Data Meta-analysis. COGNITIVE THERAPY AND RESEARCH 2022. [DOI: 10.1007/s10608-021-10281-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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20
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Shorey S, Chua JYX. Effectiveness of peer support interventions for adults with depressive symptoms: a systematic review and meta-analysis. J Ment Health 2022; 32:465-479. [PMID: 34994272 DOI: 10.1080/09638237.2021.2022630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
BACKGROUND Many adults suffer from depression and peer support has been shown to reduce depressive symptoms. AIM To examine the effectiveness of peer support interventions for adults with depressive symptoms. METHODS Five electronic databases were searched until February 2021. A random-effect meta-analysis was conducted. The I2 statistics and Cochran's Q chi-squared test assessed heterogeneity. Quality appraisal was conducted by the Cochrane risk of bias tool and the Grades of Recommendation, Assessment, Development, and Evaluation (GRADE) approach at the study and outcome level, respectively. RESULTS Seventeen studies conducted in most Western countries and on the maternal population were included. Three types of peer support interventions (peer-delivered psychotherapy, individualized peer mentoring, and peer support group discussions) were identified. Significant effects of peer support interventions were found when compared to standard care. However, professional-led psychotherapy and exercise programs showed more effectiveness compared to peer support group discussions. CONCLUSIONS Future trials could be improved by engaging trained healthy peers (peers with and without prior history of depression) to deliver interventions, encouraging online methods of communication between participants and peers, and facilitating the building of deeper connections between participants and peers. Considering the low-quality rating by the GRADE approach, future research is needed to corroborate current findings.
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Affiliation(s)
- Shefaly Shorey
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Joelle Yan Xin Chua
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
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Schramm E, Breuninger C, Wohlfarth R, Elsaesser M, Piosczyk H, Fangmeier T. Effectiveness of Nature- and Animal Assisted Mindfulness for Relapse Prevention in Depressed Patients With a History of Childhood Maltreatment. Front Psychiatry 2022; 13:899318. [PMID: 35911224 PMCID: PMC9329652 DOI: 10.3389/fpsyt.2022.899318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 06/09/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND For relapse prevention in depression, conventional mindfulness programs such as the mindfulness-based cognitive therapy proved to be useful. However, early life trauma is a risk factor for having adverse experiences during meditation. Thus, for this patient group mindfulness skills are often difficult to learn and may be facilitated by using animals and a nature setting. METHODS The aim of the study was to evaluate the preventative efficacy of a nature- and animal assisted mindfulness program (NAM) over the course of 1 year in unstable or partially remitted depressed patients with a history of early life trauma. NAM included 8 group sessions of 150 min each over 8 weeks plus one booster session. Sixty-seven participants were randomized to either NAM combined with treatment-as-usual (TAU; guideline oriented treatment) or TAU alone. The primary outcome was depression diagnosis over the course of 12 months after end of treatment. Secondary outcomes included clinician- and self-rated depressive symptoms, quality of life, mindfulness skills, and rumination post, and 12 months after the intervention. In addition, we evaluated the participants' satisfaction with the program. RESULTS Analyses revealed significant differences in relapse rates and number of weeks depressed throughout the course in favor of NAM. Furthermore, global quality of life improved significantly more in the NAM group. There was no significant difference for other secondary outcomes. Satisfaction with the program was high with a low drop-out rate of 6%. The vast majority of the participants felt safe practicing mindfulness in nature and found sheep for assistance helpful and motivating. CONCLUSIONS A nature- and animal assisted mindfulness program proved to be feasible, highly acceptable, and more effective than standard treatment in preventing relapses in recurrently depressed patients with childhood maltreatment. Nature and animals can facilitate the engagement in the treatment process for individuals with a history of early trauma. However, further evidence in multicenter trials is necessary.
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Affiliation(s)
- Elisabeth Schramm
- Department of Psychiatry and Psychotherapy, Medical Center and Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Christoph Breuninger
- Department of Psychiatry and Psychotherapy, Medical Center and Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Rainer Wohlfarth
- Ani.Motion, Institute of Animal Assisted Psychotherapy, Sasbachwalden, Germany
| | - Moritz Elsaesser
- Department of Psychiatry and Psychotherapy, Medical Center and Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Hannah Piosczyk
- Department of Psychiatry and Psychotherapy, Medical Center and Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Thomas Fangmeier
- Department of Psychiatry and Psychotherapy, Medical Center and Faculty of Medicine, University of Freiburg, Freiburg, Germany
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Fernández-Alvarez J, Grassi M, Colombo D, Botella C, Cipresso P, Perna G, Riva G. Efficacy of bio- and neurofeedback for depression: a meta-analysis. Psychol Med 2022; 52:201-216. [PMID: 34776024 PMCID: PMC8842225 DOI: 10.1017/s0033291721004396] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2019] [Revised: 09/29/2021] [Accepted: 10/07/2021] [Indexed: 12/30/2022]
Abstract
BACKGROUND For many years, biofeedback and neurofeedback have been implemented in the treatment of depression. However, the effectiveness of these techniques on depressive symptomatology is still controversial. Hence, we conducted a meta-analysis of studies extracted from PubMed, Scopus, Web of Science and Embase. METHODS Two different strings were considered for each of the two objectives of the study: A first group comprising studies patients with major depressive disorder (MDD) and a second group including studies targeting depressive symptomatology reduction in other mental or medical conditions. RESULTS In the first group of studies including patients with MDD, the within-group analyses yielded an effect size of Hedges' g = 0.717, while the between-group analysis an effect size of Hedges' g = 1.050. Moderator analyses indicate that treatment efficacy is only significant when accounting for experimental design, in favor of randomized controlled trials (RCTs) in comparison to non RCTs, whereas the type of neurofeedback, trial design, year of publication, number of sessions, age, sex and quality of study did not influence treatment efficacy. In the second group of studies, a small but significant effect between groups was found (Hedges' g = 0.303) in favor of bio- and neurofeedback against control groups. Moderator analyses revealed that treatment efficacy was not moderated by any of the sociodemographic and clinical variables. CONCLUSIONS Heart rate variability (HRV) biofeedback and neurofeedback are associated with a reduction in self-reported depression. Despite the fact that the field has still a large room for improvement in terms of research quality, the results presented in this study suggests that both modalities may become relevant complementary strategies for the treatment of MDD and depressive symptomatology in the coming years.
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Affiliation(s)
- J. Fernández-Alvarez
- Department of Psychology, Catholic University of the Sacred Heart, Milan, Italy
- Department of Basic Psychology, Clinic and Psychobiology, Universitat Jaume I, Castellón, Spain
| | - M. Grassi
- Department of Clinical Neurosciences, Hermanas Hospitalarias, Villa San Benedetto Menni Hospital, FoRiPsi, Albese con Cassano, Como, Italy
- Department of Biomedical Sciences, Humanitas University, Rozzano, Milan, Italy
| | - D. Colombo
- Department of Basic Psychology, Clinic and Psychobiology, Universitat Jaume I, Castellón, Spain
| | - C. Botella
- Ciber Fisiopatología Obesidad y Nutrición, CB06/03 Instituto Salud Carlos III, Madrid, Spain
| | - P. Cipresso
- Applied Technology for Neuro-Psychology Lab, IRCCS Istituto Auxologico Italiano, Milan, Italy
- Department of Psychology, University of Turin, Turin, Italy
| | - G. Perna
- Department of Clinical Neurosciences, Hermanas Hospitalarias, Villa San Benedetto Menni Hospital, FoRiPsi, Albese con Cassano, Como, Italy
- Department of Biomedical Sciences, Humanitas University, Rozzano, Milan, Italy
- Department of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami, Miami, FL, USA
- Research Institute of Mental Health and Neuroscience and Department of Psychiatry and Neuropsychology, Faculty of Health, Medicine and Life Sciences, University of Maastricht, Maastricht, the Netherlands
| | - G. Riva
- Department of Psychology, Catholic University of the Sacred Heart, Milan, Italy
- Applied Technology for Neuro-Psychology Lab, IRCCS Istituto Auxologico Italiano, Milan, Italy
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Stress events and Changes in Dysfunctional Attitudes and Automatic Thoughts Following Recovery from Depression in Inpatient Psychotherapy: Mediation Analyses with Longitudinal Data. COGNITIVE THERAPY AND RESEARCH 2021. [DOI: 10.1007/s10608-021-10280-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Abstract
Background
Stressful event exposure, dysfunctional attitudes (DA), negative automatic thoughts (NAT), and declining positive automatic thoughts (PAT) have been associated with depressive relapse/recurrence. Few studies have investigated the course of these variables and their relevance for relapse/recurrence in remitted depression.
Methods
Following successful inpatient treatment, in 39 remitted depressive patients, stressful events, DA, NAT, PAT, and depressive relapse/recurrence were assessed five times during a 16-month follow-up. Data were analyzed with mixed effect models, and mediation effects were tested.
Results
Stressful events after discharge correlated with depressive relapse/recurrence. This association was mainly mediated by a stress-related decline of PAT within four months post discharge. Patients’ DA were relatively stable during the observation period and did not depend on stressful events, indicating DA as a risk trait for depressive relapse/recurrence. Mediation analyses revealed that independent of stress, DA were linked to depressive relapse/recurrence through more NAT.
Conclusion
Our findings suggest stressful events evoke relapse/recurrence in remitted depression through rapid deterioration of PAT after discharge from inpatient therapy. DA are expressed through NAT which additionally contribute to higher risk of depressive relapse/recurrence. Consequently, maintenance therapy requires techniques to promote the maintenance of PAT, and to effectively restructure DA and NAT.
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Moriarty AS, Robertson L, Mughal F, Cook N, Gilbody S, McMillan D, Chew-Graham CA, Ali S, Hetrick SE, Churchill R, Meader N. Interventions for preventing relapse or recurrence of major depressive disorder in adults in a primary care setting: a network meta-analysis. Hippokratia 2021. [DOI: 10.1002/14651858.cd014832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Andrew S Moriarty
- Mental Health and Addiction Research Group, Department of Health Sciences; University of York; York UK
- Hull York Medical School; University of York; York UK
| | - Lindsay Robertson
- Cochrane Common Mental Disorders; University of York; York UK
- Centre for Reviews and Dissemination; University of York; York UK
| | - Faraz Mughal
- School of Medicine; Keele University; Keele UK
- Unit of Academic Primary Care; Warwick Medical School, University of Warwick; Coventry UK
| | - Natalie Cook
- Tees, Esk and Wear Valleys NHS Foundation Trust; York UK
| | - Simon Gilbody
- Mental Health and Addiction Research Group, Department of Health Sciences; University of York; York UK
- Hull York Medical School; University of York; York UK
| | - Dean McMillan
- Mental Health and Addiction Research Group, Department of Health Sciences; University of York; York UK
| | | | - Shehzad Ali
- Mental Health and Addiction Research Group, Department of Health Sciences; University of York; York UK
| | - Sarah E Hetrick
- Department of Psychological Medicine, Faculty of Medical and Health Sciences; The University of Auckland; Auckland New Zealand
- Children and Young People Satellite, Cochrane Common Mental Disorders; The University of Auckland; Auckland New Zealand
| | - Rachel Churchill
- Cochrane Common Mental Disorders; University of York; York UK
- Centre for Reviews and Dissemination; University of York; York UK
| | - Nicholas Meader
- Cochrane Common Mental Disorders; University of York; York UK
- Centre for Reviews and Dissemination; University of York; York UK
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Measuring Cognitive Rigidity in Construing Self and Others with the Repertory Grid Technique: Further Test of the Cognitive Model for Depression. Int J Cogn Ther 2021. [DOI: 10.1007/s41811-021-00122-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Cano-López JB, García-Sancho E, Fernández-Castilla B, Salguero JM. Empirical Evidence of the Metacognitive Model of Rumination and Depression in Clinical and Nonclinical Samples: A Systematic Review and Meta-Analysis. COGNITIVE THERAPY AND RESEARCH 2021. [DOI: 10.1007/s10608-021-10260-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
AbstractRumination is considered a cognitive vulnerability factor in the development and maintenance of depression. The metacognitive model of rumination and depression suggests that the development of rumination and its association with depression partly depends on metacognitive beliefs. Two metacognitive beliefs about rumination have been identified: positive beliefs about its utility and negative beliefs about the uncontrollability and its negative social consequences. We conducted a systematic review and meta-analysis aimed: (1) to analyze the associations between metacognitive beliefs and rumination and depression; (2) to test the metacognitive model, using a Two-Stage Structural Equation Modeling approach (TSSEM). Literature search retrieved 41 studies. These 41 studies (N = 10,607) were included in the narrative synthesis and meta-analysis, and 16 studies (N = 4477) were comprised for the TSSEM. Results indicated metacognitive beliefs are associated with rumination and depression. Measures on metacognitive beliefs about rumination indicated that positive beliefs showed moderate associations with rumination (r = 0.50), and low with depression (r = 0.27); whereas negative beliefs showed moderate associations with both rumination (r = 0.46) and depression (r = 0.49). These results were consistent across studies using different instruments to measure metacognitive beliefs, and in both clinical and nonclinical samples. Moreover, results of the TSSEM analyses showed that the metacognitive model had a good fit. In sum, our results are in line with the metacognitive model of rumination and depression, highlighting that metacognitive beliefs are relevant factors to understand why people ruminate and get depressed. Future directions and clinical implications are discussed.
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Moriarty AS, Paton LW, Snell KIE, Riley RD, Buckman JEJ, Gilbody S, Chew-Graham CA, Ali S, Pilling S, Meader N, Phillips B, Coventry PA, Delgadillo J, Richards DA, Salisbury C, McMillan D. The development and validation of a prognostic model to PREDICT Relapse of depression in adult patients in primary care: protocol for the PREDICTR study. Diagn Progn Res 2021; 5:12. [PMID: 34215317 PMCID: PMC8254312 DOI: 10.1186/s41512-021-00101-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Accepted: 05/19/2021] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Most patients who present with depression are treated in primary care by general practitioners (GPs). Relapse of depression is common (at least 50% of patients treated for depression will relapse after a single episode) and leads to considerable morbidity and decreased quality of life for patients. The majority of patients will relapse within 6 months, and those with a history of relapse are more likely to relapse in the future than those with no such history. GPs see a largely undifferentiated case-mix of patients, and once patients with depression reach remission, there is limited guidance to help GPs stratify patients according to risk of relapse. We aim to develop a prognostic model to predict an individual's risk of relapse within 6-8 months of entering remission. The long-term objective is to inform the clinical management of depression after the acute phase. METHODS We will develop a prognostic model using secondary analysis of individual participant data drawn from seven RCTs and one longitudinal cohort study in primary or community care settings. We will use logistic regression to predict the outcome of relapse of depression within 6-8 months. We plan to include the following established relapse predictors in the model: residual depressive symptoms, number of previous depressive episodes, co-morbid anxiety and severity of index episode. We will use a "full model" development approach, including all available predictors. Performance statistics (optimism-adjusted C-statistic, calibration-in-the-large, calibration slope) and calibration plots (with smoothed calibration curves) will be calculated. Generalisability of predictive performance will be assessed through internal-external cross-validation. Clinical utility will be explored through net benefit analysis. DISCUSSION We will derive a statistical model to predict relapse of depression in remitted depressed patients in primary care. Assuming the model has sufficient predictive performance, we outline the next steps including independent external validation and further assessment of clinical utility and impact. STUDY REGISTRATION ClinicalTrials.gov ID: NCT04666662.
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Affiliation(s)
- Andrew S Moriarty
- Department of Health Sciences, University of York, York, England.
- Hull York Medical School, University of York, York, England.
| | - Lewis W Paton
- Department of Health Sciences, University of York, York, England
| | - Kym I E Snell
- Centre for Prognosis Research, School of Medicine, Keele University, Keele, England
| | - Richard D Riley
- Centre for Prognosis Research, School of Medicine, Keele University, Keele, England
| | - Joshua E J Buckman
- Centre for Outcomes and Research Effectiveness, Research Department of Clinical, Educational and Health Psychology, University College London, London, England
- iCope - Camden and Islington Psychological Therapies Services, Camden & Islington NHS Foundation Trust, London, England
| | - Simon Gilbody
- Department of Health Sciences, University of York, York, England
- Hull York Medical School, University of York, York, England
| | | | - Shehzad Ali
- Department of Health Sciences, University of York, York, England
- Department of Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, Western University, London, ON, Canada
| | - Stephen Pilling
- Centre for Outcomes and Research Effectiveness, Research Department of Clinical, Educational and Health Psychology, University College London, London, England
- Camden & Islington NHS Foundation Trust, St Pancras Hospital, London, England
| | - Nick Meader
- Centre for Reviews and Dissemination, University of York, York, England
| | - Bob Phillips
- Centre for Reviews and Dissemination, University of York, York, England
| | - Peter A Coventry
- Department of Health Sciences, University of York, York, England
| | - Jaime Delgadillo
- Department of Psychology, University of Sheffield, Sheffield, England
| | - David A Richards
- Institute of Health Research, College of Medicine and Health, University of Exeter, Exeter, England
- Department of Health and Caring Sciences, Western Norway University of Applied Sciences, Inndalsveien 28, 5063 Bergen, Norway, USA
| | - Chris Salisbury
- Centre for Academic Primary Care, University of Bristol, Bristol, England
| | - Dean McMillan
- Department of Health Sciences, University of York, York, England
- Hull York Medical School, University of York, York, England
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Vervaeke J, Hoorelbeke K, Baeken C, Koster EHW. Online Cognitive Control Training for Remitted Depressed Individuals: A Replication and Extension Study. COGNITIVE THERAPY AND RESEARCH 2021. [DOI: 10.1007/s10608-021-10238-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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Mendez NA, Mayo D, Safren SA. Interventions Addressing Depression and HIV-Related Outcomes in People with HIV. Curr HIV/AIDS Rep 2021; 18:377-390. [PMID: 34014446 PMCID: PMC8136266 DOI: 10.1007/s11904-021-00559-w] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/21/2021] [Indexed: 01/06/2023]
Abstract
PURPOSE OF REVIEW People with HIV (PWH) are more likely to experience depression than those without HIV. Depression is not only distressing and interfering in and of itself, but it is also consistently associated with non-adherence to antiretroviral treatment (ART). Accordingly, research and clinical priorities require updated knowledge about interventions that address depression in PWH. RECENT FINDINGS Twenty efficacy trials and nine pilot studies since a 2009 review emerged in the literature review search. Of these, 11 and 6 respectively had a depression-related inclusion criterion. The intervention strategies included individual psychotherapy (n=6), group therapy (n=6), telehealth (n=3), and antidepressant medication (n=5). Generally, these interventions demonstrated acute efficacy for improving depression symptoms in PWH, with some also addressing ART non-adherence. However, not all studies collected follow-up data. Furthermore, trials that addressed depression but did not specifically address non-adherence did not also show adherence improvements. Existing interventions for depression have demonstrated efficacy in PWH, and these may have both positive mental and physical health outcomes. Future trials should measure and boost longer-term effects. It would be useful to incorporate adherence interventions into depression treatment to improve self-care behaviors and health outcomes.
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Affiliation(s)
- Noelle A. Mendez
- Department of Psychology, University of Miami, Coral Gables, FL USA
| | - Daniel Mayo
- Department of Psychology, University of Miami, Coral Gables, FL USA
| | - Steven A. Safren
- Department of Psychology, University of Miami, Coral Gables, FL USA
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Schuler MS, Gilman SE, Burns RM, Roth E, Breslau J. Associations between depression subtype and functional impairment and treatment utilization in a national sample of adolescents. J Affect Disord 2021; 287:26-33. [PMID: 33765539 PMCID: PMC8085055 DOI: 10.1016/j.jad.2021.03.018] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Revised: 03/04/2021] [Accepted: 03/08/2021] [Indexed: 11/19/2022]
Abstract
BACKGROUND Prior studies have characterized distinct major depressive episode (MDE) subtypes among adults, yet limited evidence exists regarding variation in MDE during adolescence. METHODS Using 2008-2016 National Survey of Drug Use and Health data, latent class analysis (LCA) was used to characterize depression subtypes (based on symptom presentation) among 9,896 youth ages 12-17 with recent first-onset MDE. Logistic regression was used to estimate associations of MDE subtype with functional outcomes and treatment utilization, adjusting for demographic characteristics and depression severity (i.e., number of MDE diagnostic criteria and recurrence status) RESULTS: A 5-class LCA model provided optimal fit. Three distinct categories of MDE symptoms generally clustered together, which we termed "somatic," "cognitive," and "self-worth;" classes were differentiated by distinct combinations of symptoms across these 3 categories. Subtypes were characterized as: Highly Symptomatic (39% of youth); Somatic & Cognitive (24%), Somatic (22%), Diffuse Symptoms (8%), and Somatic & Self-Worth (6%). The majority of youth reported at least moderate impairment across multiple domains; subtype was a significant predictor of functional impairment. Only 34% of youth received any past-year depression-related treatment; treatment utilization was significantly higher for MDE subtypes with the highest prevalences of suicidal ideation. LIMITATIONS Due to cross-sectional data, we cannot establish causal directionality. CONCLUSIONS Subtype was significantly predictive of functional impairment and treatment utilization, above and beyond number of MDE diagnostic criteria or recurrence status. Understanding distinct profiles of adolescent depression, as well as potential differential associations with impairment, can inform prevention, diagnosis, and treatment of depression among youth.
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Affiliation(s)
| | - Stephen E Gilman
- Social and Behavioral Sciences Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland
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Moriarty AS, Meader N, Snell KI, Riley RD, Paton LW, Chew-Graham CA, Gilbody S, Churchill R, Phillips RS, Ali S, McMillan D. Prognostic models for predicting relapse or recurrence of major depressive disorder in adults. Cochrane Database Syst Rev 2021; 5:CD013491. [PMID: 33956992 PMCID: PMC8102018 DOI: 10.1002/14651858.cd013491.pub2] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND Relapse (the re-emergence of depressive symptoms after some level of improvement but preceding recovery) and recurrence (onset of a new depressive episode after recovery) are common in depression, lead to worse outcomes and quality of life for patients and exert a high economic cost on society. Outcomes can be predicted by using multivariable prognostic models, which use information about several predictors to produce an individualised risk estimate. The ability to accurately predict relapse or recurrence while patients are well (in remission) would allow the identification of high-risk individuals and may improve overall treatment outcomes for patients by enabling more efficient allocation of interventions to prevent relapse and recurrence. OBJECTIVES To summarise the predictive performance of prognostic models developed to predict the risk of relapse, recurrence, sustained remission or recovery in adults with major depressive disorder who meet criteria for remission or recovery. SEARCH METHODS We searched the Cochrane Library (current issue); Ovid MEDLINE (1946 onwards); Ovid Embase (1980 onwards); Ovid PsycINFO (1806 onwards); and Web of Science (1900 onwards) up to May 2020. We also searched sources of grey literature, screened the reference lists of included studies and performed a forward citation search. There were no restrictions applied to the searches by date, language or publication status . SELECTION CRITERIA We included development and external validation (testing model performance in data separate from the development data) studies of any multivariable prognostic models (including two or more predictors) to predict relapse, recurrence, sustained remission, or recovery in adults (aged 18 years and over) with remitted depression, in any clinical setting. We included all study designs and accepted all definitions of relapse, recurrence and other related outcomes. We did not specify a comparator prognostic model. DATA COLLECTION AND ANALYSIS Two review authors independently screened references; extracted data (using a template based on the CHecklist for critical Appraisal and data extraction for systematic Reviews of prediction Modelling Studies (CHARMS)); and assessed risks of bias of included studies (using the Prediction model Risk Of Bias ASsessment Tool (PROBAST)). We referred any disagreements to a third independent review author. Where we found sufficient (10 or more) external validation studies of an individual model, we planned to perform a meta-analysis of its predictive performance, specifically with respect to its calibration (how well the predicted probabilities match the observed proportions of individuals that experience the outcome) and discrimination (the ability of the model to differentiate between those with and without the outcome). Recommendations could not be qualified using the GRADE system, as guidance is not yet available for prognostic model reviews. MAIN RESULTS We identified 11 eligible prognostic model studies (10 unique prognostic models). Seven were model development studies; three were model development and external validation studies; and one was an external validation-only study. Multiple estimates of performance measures were not available for any of the models and, meta-analysis was therefore not possible. Ten out of the 11 included studies were assessed as being at high overall risk of bias. Common weaknesses included insufficient sample size, inappropriate handling of missing data and lack of information about discrimination and calibration. One paper (Klein 2018) was at low overall risk of bias and presented a prognostic model including the following predictors: number of previous depressive episodes, residual depressive symptoms and severity of the last depressive episode. The external predictive performance of this model was poor (C-statistic 0.59; calibration slope 0.56; confidence intervals not reported). None of the identified studies examined the clinical utility (net benefit) of the developed model. AUTHORS' CONCLUSIONS Of the 10 prognostic models identified (across 11 studies), only four underwent external validation. Most of the studies (n = 10) were assessed as being at high overall risk of bias, and the one study that was at low risk of bias presented a model with poor predictive performance. There is a need for improved prognostic research in this clinical area, with future studies conforming to current best practice recommendations for prognostic model development/validation and reporting findings in line with the Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) statement.
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Affiliation(s)
- Andrew S Moriarty
- Mental Health and Addiction Research Group, Department of Health Sciences, University of York, York, UK
- Hull York Medical School, University of York, York, UK
| | - Nicholas Meader
- Centre for Reviews and Dissemination, University of York, York, UK
- Cochrane Common Mental Disorders, University of York, York, UK
| | - Kym Ie Snell
- Centre for Prognosis Research, School of Medicine, Keele University, Keele, UK
| | - Richard D Riley
- Centre for Prognosis Research, School of Medicine, Keele University, Keele, UK
| | - Lewis W Paton
- Mental Health and Addiction Research Group, Department of Health Sciences, University of York, York, UK
| | | | - Simon Gilbody
- Mental Health and Addiction Research Group, Department of Health Sciences, University of York, York, UK
- Hull York Medical School, University of York, York, UK
| | - Rachel Churchill
- Centre for Reviews and Dissemination, University of York, York, UK
- Cochrane Common Mental Disorders, University of York, York, UK
| | | | - Shehzad Ali
- Mental Health and Addiction Research Group, Department of Health Sciences, University of York, York, UK
- Department of Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, Western University, London, Canada
| | - Dean McMillan
- Mental Health and Addiction Research Group, Department of Health Sciences, University of York, York, UK
- Hull York Medical School, University of York, York, UK
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Forgeard M, Beard C, Shayani D, Silverman AL, Tsukayama E, Björgvinsson T. Predictors of affect following discharge from partial hospitalization: a two-week ecological momentary assessment study. Psychol Med 2021; 51:1157-1165. [PMID: 32008591 PMCID: PMC10150235 DOI: 10.1017/s0033291719004057] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
BACKGROUND Little is known about the everyday experiences of individuals transitioning from acute to outpatient psychiatric care, an important period of risk for mood symptom relapse. This study used ecological momentary assessment (EMA) to examine whether specific daily experiences were related to momentary affective states following discharge from a partial hospitalization program (PHP). METHODS A sample of 114 adults (Mage = 36 years old, 52% female, 83% White) completed four brief EMA surveys every day for 2 weeks assessing intensity/type of stressful events and social contact, as well as positive/negative affect (PA/NA). Half of participants reported therapeutic skills use. RESULTS Stress severity ratings prospectively predicted increased NA. NA predicted spending less time with close relationships. However, interacting with close relationships predicted increased positive affect (PA). Finally, PA predicted spending time with more people. The use of two skills (behavioral activation and interpersonal effectiveness) was concurrently, but not prospectively, associated with improved affect. CONCLUSIONS Examining daily experiences of individuals discharging from partial hospitalization provides important information about factors that may influence affective states during the transition from acute to outpatient care. Findings from this study can be used to help prepare patients for discharge and develop interventions for the post-acute period.
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Affiliation(s)
- Marie Forgeard
- McLean Hospital
- Harvard Medical School
- William James College
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Van Leeuwen E, van Driel ML, Horowitz MA, Kendrick T, Donald M, De Sutter AI, Robertson L, Christiaens T. Approaches for discontinuation versus continuation of long-term antidepressant use for depressive and anxiety disorders in adults. Cochrane Database Syst Rev 2021; 4:CD013495. [PMID: 33886130 PMCID: PMC8092632 DOI: 10.1002/14651858.cd013495.pub2] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
BACKGROUND Depression and anxiety are the most frequent indication for which antidepressants are prescribed. Long-term antidepressant use is driving much of the internationally observed rise in antidepressant consumption. Surveys of antidepressant users suggest that 30% to 50% of long-term antidepressant prescriptions had no evidence-based indication. Unnecessary use of antidepressants puts people at risk of adverse events. However, high-certainty evidence is lacking regarding the effectiveness and safety of approaches to discontinuing long-term antidepressants. OBJECTIVES To assess the effectiveness and safety of approaches for discontinuation versus continuation of long-term antidepressant use for depressive and anxiety disorders in adults. SEARCH METHODS We searched all databases for randomised controlled trials (RCTs) until January 2020. SELECTION CRITERIA We included RCTs comparing approaches to discontinuation with continuation of antidepressants (or usual care) for people with depression or anxiety who are prescribed antidepressants for at least six months. Interventions included discontinuation alone (abrupt or taper), discontinuation with psychological therapy support, and discontinuation with minimal intervention. Primary outcomes were successful discontinuation rate, relapse (as defined by authors of the original study), withdrawal symptoms, and adverse events. Secondary outcomes were depressive symptoms, anxiety symptoms, quality of life, social and occupational functioning, and severity of illness. DATA COLLECTION AND ANALYSIS We used standard methodological procedures as expected by Cochrane. MAIN RESULTS We included 33 studies involving 4995 participants. Nearly all studies were conducted in a specialist mental healthcare service and included participants with recurrent depression (i.e. two or more episodes of depression prior to discontinuation). All included trials were at high risk of bias. The main limitation of the review is bias due to confounding withdrawal symptoms with symptoms of relapse of depression. Withdrawal symptoms (such as low mood, dizziness) may have an effect on almost every outcome including adverse events, quality of life, social functioning, and severity of illness. Abrupt discontinuation Thirteen studies reported abrupt discontinuation of antidepressant. Very low-certainty evidence suggests that abrupt discontinuation without psychological support may increase risk of relapse (hazard ratio (HR) 2.09, 95% confidence interval (CI) 1.59 to 2.74; 1373 participants, 10 studies) and there is insufficient evidence of its effect on adverse events (odds ratio (OR) 1.11, 95% CI 0.62 to 1.99; 1012 participants, 7 studies; I² = 37%) compared to continuation of antidepressants, without specific assessment of withdrawal symptoms. Evidence about the effects of abrupt discontinuation on withdrawal symptoms (1 study) is very uncertain. None of these studies included successful discontinuation rate as a primary endpoint. Discontinuation by "taper" Eighteen studies examined discontinuation by "tapering" (one week or longer). Most tapering regimens lasted four weeks or less. Very low-certainty evidence suggests that "tapered" discontinuation may lead to higher risk of relapse (HR 2.97, 95% CI 2.24 to 3.93; 1546 participants, 13 studies) with no or little difference in adverse events (OR 1.06, 95% CI 0.82 to 1.38; 1479 participants, 7 studies; I² = 0%) compared to continuation of antidepressants, without specific assessment of withdrawal symptoms. Evidence about the effects of discontinuation on withdrawal symptoms (1 study) is very uncertain. Discontinuation with psychological support Four studies reported discontinuation with psychological support. Very low-certainty evidence suggests that initiation of preventive cognitive therapy (PCT), or MBCT, combined with "tapering" may result in successful discontinuation rates of 40% to 75% in the discontinuation group (690 participants, 3 studies). Data from control groups in these studies were requested but are not yet available. Low-certainty evidence suggests that discontinuation combined with psychological intervention may result in no or little effect on relapse (HR 0.89, 95% CI 0.66 to 1.19; 690 participants, 3 studies) compared to continuation of antidepressants. Withdrawal symptoms were not measured. Pooling data on adverse events was not possible due to insufficient information (3 studies). Discontinuation with minimal intervention Low-certainty evidence from one study suggests that a letter to the general practitioner (GP) to review antidepressant treatment may result in no or little effect on successful discontinuation rate compared to usual care (6% versus 8%; 146 participants, 1 study) or on relapse (relapse rate 26% vs 13%; 146 participants, 1 study). No data on withdrawal symptoms nor adverse events were provided. None of the studies used low-intensity psychological interventions such as online support or a changed pharmaceutical formulation that allows tapering with low doses over several months. Insufficient data were available for the majority of people taking antidepressants in the community (i.e. those with only one or no prior episode of depression), for people aged 65 years and older, and for people taking antidepressants for anxiety. AUTHORS' CONCLUSIONS Currently, relatively few studies have focused on approaches to discontinuation of long-term antidepressants. We cannot make any firm conclusions about effects and safety of the approaches studied to date. The true effect and safety are likely to be substantially different from the data presented due to assessment of relapse of depression that is confounded by withdrawal symptoms. All other outcomes are confounded with withdrawal symptoms. Most tapering regimens were limited to four weeks or less. In the studies with rapid tapering schemes the risk of withdrawal symptoms may be similar to studies using abrupt discontinuation which may influence the effectiveness of the interventions. Nearly all data come from people with recurrent depression. There is an urgent need for trials that adequately address withdrawal confounding bias, and carefully distinguish relapse from withdrawal symptoms. Future studies should report key outcomes such as successful discontinuation rate and should include populations with one or no prior depression episodes in primary care, older people, and people taking antidepressants for anxiety and use tapering schemes longer than 4 weeks.
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Affiliation(s)
- Ellen Van Leeuwen
- Clinical Pharmacology Unit, Department of Basic and Applied Medical Sciences, Ghent University, Ghent, Belgium
- Department of Public Health and Primary Care, Ghent University, Ghent, Belgium
| | - Mieke L van Driel
- Department of Public Health and Primary Care, Ghent University, Ghent, Belgium
- Primary Care Clinical Unit, Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - Mark A Horowitz
- Division of Psychiatry, University College London, London, UK
| | - Tony Kendrick
- Primary Care, Population Sciences and Medical Education, Faculty of Medicine, Aldermoor Health Centre, University of Southampton, Southampton, UK
| | - Maria Donald
- Primary Care Clinical Unit, Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - An Im De Sutter
- Department of Public Health and Primary Care, Ghent University, Ghent, Belgium
| | - Lindsay Robertson
- Cochrane Common Mental Disorders, University of York, York, UK
- Centre for Reviews and Dissemination, University of York, York, UK
| | - Thierry Christiaens
- Clinical Pharmacology Unit, Department of Basic and Applied Medical Sciences, Ghent University, Ghent, Belgium
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Myklebost SB, Nordgreen T, Hammar Å. An open pilot study of an internet-delivered intervention targeting self-perceived residual cognitive symptoms after major depressive disorder. APPLIED NEUROPSYCHOLOGY-ADULT 2021; 29:1595-1604. [PMID: 33813984 DOI: 10.1080/23279095.2021.1901706] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
Residual cognitive symptoms are associated with reduced daily life functioning, quality of life and represent a risk factor for relapse of major depressive disorder (MDD). There are few studies targeting self-perceived residual cognitive symptoms after MDD. The current open pilot study examines clinical outcomes and feasibility of a novel internet-delivered cognitive enhancement treatment for mood disorders specifically tailored to target self-perceived residual cognitive symptoms after MDD. A total of 43 adults with self-perceived residual cognitive symptoms after MDD were included. Participants were assessed pre- and post-treatment and at 6-month follow-up. The intervention consists of 10 modules that includes psychoeducation, cognitive strategies, and attention training, coupled with weekly therapist guidance. Results showed a significant reduction from pre- to post-treatment in self-perceived residual cognitive symptoms (d = 0.98) and rumination (d = 0.63). Results remained significant at the 6-month follow-up (d = 1.06; d = 0.86). Reliable change in self-perceived residual cognitive symptoms were obtained in 60% of the participants from pre- to post-treatment. Completion rates (86%) and treatment satisfaction (97%) were high. This open pilot study supports that targeting self-perceived residual cognitive symptoms after MDD through internet-delivered cognitive enhancement therapy for mood disorders may be feasible and provide stable reductions in self-perceived residual cognitive symptoms and rumination.
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Affiliation(s)
| | - Tine Nordgreen
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway.,Department of Clinical Psychology, Faculty of Psychology, University of Bergen, Bergen, Norway
| | - Åsa Hammar
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway.,Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
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Guidi J, Fava GA. Sequential Combination of Pharmacotherapy and Psychotherapy in Major Depressive Disorder: A Systematic Review and Meta-analysis. JAMA Psychiatry 2021; 78:261-269. [PMID: 33237285 PMCID: PMC7689568 DOI: 10.1001/jamapsychiatry.2020.3650] [Citation(s) in RCA: 69] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
IMPORTANCE The sequential model emerged from the awareness that the persistence of residual symptoms and the frequent occurrence of psychiatric comorbidity were both associated with poor long-term outcome of major depressive disorder (MDD). OBJECTIVE To conduct an updated meta-analysis to examine the association of the sequential combination of pharmacotherapy and psychotherapy with reduced risk of relapse and recurrence in MDD. DATA SOURCES Keyword searches were conducted in PubMed, PsycInfo, Web of Science, and the Cochrane Library from inception of each database through November 2019. Reference lists from relevant studies were examined using the following keywords: sequential treatment, drugs and psychotherapy, combined treatment, continuation or maintenance, relapse or recurrence and prevention, and depress* or major depress*, selecting adults and randomized controlled trials as additional limits. Authors of selected articles were contacted if needed. STUDY SELECTION Randomized clinical trials examining the effectiveness of the sequential use of psychotherapy following response to acute-phase pharmacotherapy in the treatment of adult remitted patients with MDD were selected independently by 2 reviewers. DATA EXTRACTION AND SYNTHESIS The methods used fulfilled the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guideline. Data extraction and methodologic quality assessment were conducted independently by the reviewers. Examination of the pooled results was performed based on the random-effects model. Heterogeneity between study results and likelihood of significant publication bias were assessed. Sensitivity analyses and meta-regressions were also run. MAIN OUTCOMES AND MEASURES The primary outcome measures were relapse or recurrence rates of MDD, as defined by study investigators, at the longest available follow-up. RESULTS Seventeen randomized clinical trials met criteria for inclusion in the meta-analysis, with 1 study yielding 2 comparisons (2283 patients overall, with 1208 patients in a sequential treatment arm and 1075 in a control arm). The pooled risk ratio for relapse/recurrence of MDD was 0.84 (95% CI, 0.74-0.94), suggesting a relative advantage in preventing relapse/recurrence for the sequential combination of treatments compared with control conditions. CONCLUSIONS AND RELEVANCE The results of this systematic review and meta-analysis indicate that the sequential integration of psychotherapy following response to acute-phase pharmacotherapy, alone or combined with antidepressant medication, was associated with reduced risk of relapse and recurrence in MDD. The preventive value of the sequential strategy relies on abatement of residual symptoms and/or increase in psychological well-being. The steps for implementing the sequential approach in remitted patients with recurrent MDD are provided.
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Affiliation(s)
- Jenny Guidi
- Department of Psychology, University of Bologna, Bologna, Italy
| | - Giovanni A. Fava
- Department of Psychiatry, University at Buffalo, State University of New York, Buffalo
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Malhi GS, Bell E, Bassett D, Boyce P, Bryant R, Hazell P, Hopwood M, Lyndon B, Mulder R, Porter R, Singh AB, Murray G. The 2020 Royal Australian and New Zealand College of Psychiatrists clinical practice guidelines for mood disorders. Aust N Z J Psychiatry 2021; 55:7-117. [PMID: 33353391 DOI: 10.1177/0004867420979353] [Citation(s) in RCA: 236] [Impact Index Per Article: 78.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
OBJECTIVES To provide advice and guidance regarding the management of mood disorders, derived from scientific evidence and supplemented by expert clinical consensus to formulate s that maximise clinical utility. METHODS Articles and information sourced from search engines including PubMed, EMBASE, MEDLINE, PsycINFO and Google Scholar were supplemented by literature known to the mood disorders committee (e.g. books, book chapters and government reports) and from published depression and bipolar disorder guidelines. Relevant information was appraised and discussed in detail by members of the mood disorders committee, with a view to formulating and developing consensus-based recommendations and clinical guidance. The guidelines were subjected to rigorous consultation and external review involving: expert and clinical advisors, key stakeholders, professional bodies and specialist groups with interest in mood disorders. RESULTS The Royal Australian and New Zealand College of Psychiatrists mood disorders clinical practice guidelines 2020 (MDcpg2020) provide up-to-date guidance regarding the management of mood disorders that is informed by evidence and clinical experience. The guideline is intended for clinical use by psychiatrists, psychologists, primary care physicians and others with an interest in mental health care. CONCLUSION The MDcpg2020 builds on the previous 2015 guidelines and maintains its joint focus on both depressive and bipolar disorders. It provides up-to-date recommendations and guidance within an evidence-based framework, supplemented by expert clinical consensus. MOOD DISORDERS COMMITTEE Gin S Malhi (Chair), Erica Bell, Darryl Bassett, Philip Boyce, Richard Bryant, Philip Hazell, Malcolm Hopwood, Bill Lyndon, Roger Mulder, Richard Porter, Ajeet B Singh and Greg Murray.
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Affiliation(s)
- Gin S Malhi
- The University of Sydney, Faculty of Medicine and Health, Northern Clinical School, Department of Psychiatry, Sydney, NSW, Australia.,Academic Department of Psychiatry, Royal North Shore Hospital, Northern Sydney Local Health District, St Leonards, NSW, Australia.,CADE Clinic, Royal North Shore Hospital, Northern Sydney Local Health District, St Leonards, NSW, Australia
| | - Erica Bell
- The University of Sydney, Faculty of Medicine and Health, Northern Clinical School, Department of Psychiatry, Sydney, NSW, Australia.,Academic Department of Psychiatry, Royal North Shore Hospital, Northern Sydney Local Health District, St Leonards, NSW, Australia.,CADE Clinic, Royal North Shore Hospital, Northern Sydney Local Health District, St Leonards, NSW, Australia
| | | | - Philip Boyce
- Department of Psychiatry, Westmead Hospital and the Westmead Clinical School, Wentworthville, NSW, Australia.,Discipline of Psychiatry, Sydney Medical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Richard Bryant
- School of Psychology, University of New South Wales, Sydney, NSW, Australia
| | - Philip Hazell
- Discipline of Psychiatry, Sydney Medical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Malcolm Hopwood
- Department of Psychiatry, University of Melbourne and Professorial Psychiatry Unit, Albert Road Clinic, Melbourne, VIC, Australia
| | - Bill Lyndon
- The University of Sydney, Faculty of Medicine and Health, Northern Clinical School, Department of Psychiatry, Sydney, NSW, Australia
| | - Roger Mulder
- Department of Psychological Medicine, University of Otago, Christchurch, New Zealand
| | - Richard Porter
- Department of Psychological Medicine, University of Otago, Christchurch, New Zealand
| | - Ajeet B Singh
- The Geelong Clinic Healthscope, IMPACT - Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin University, Geelong, VIC, Australia
| | - Greg Murray
- Centre for Mental Health, Swinburne University of Technology, Hawthorn, VIC, Australia
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Dedoncker J, Baeken C, De Raedt R, Vanderhasselt MA. Combined transcranial direct current stimulation and psychological interventions: State of the art and promising perspectives for clinical psychology. Biol Psychol 2020; 158:107991. [PMID: 33232800 DOI: 10.1016/j.biopsycho.2020.107991] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 10/14/2020] [Accepted: 11/15/2020] [Indexed: 12/14/2022]
Abstract
Recent literature shows great heterogeneity in the reported efficacy of transcranial direct current stimulation (tDCS) as a stand-alone psychiatric treatment. Aiming to increase its efficacy, tDCS has been combined with psychological interventions. Our state-of-the-art overview of such combined treatment trials indicates, however, that these usually do not elicit synergistic clinical effects. We therefore explored more basic mechanisms related to the brain state-dependency of tDCS. Importantly, based on our overview, the efficacy of combined interventions may depend on whether individual patients present with endophenotypes that are implicated in the development and maintenance of psychopathology, such as prefrontal-mediated cognitive dysfunction. We discuss how future studies may contribute to the development of personally-tailored dual active treatments by adhering to the Research Domain Criteria (RDoC) framework. RDoC-based mechanistic research may reveal alternative neural circuits that should be functionally targeted by both tDCS and psychological interventions, with promising avenues for clinical psychological science and practice.
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Affiliation(s)
- Josefien Dedoncker
- Department of Head and Skin - Psychiatry and Medical Psychology, Ghent University Hospital, Ghent, Belgium; Ghent Experimental Psychiatry (GHEP) Lab, Ghent, Belgium.
| | - Chris Baeken
- Department of Head and Skin - Psychiatry and Medical Psychology, Ghent University Hospital, Ghent, Belgium; Ghent Experimental Psychiatry (GHEP) Lab, Ghent, Belgium; Department of Psychiatry, University Hospital UZBrussel, Brussels, Belgium; Eindhoven University of Technology, Department of Electrical Engineering, Eindhoven, the Netherlands
| | - Rudi De Raedt
- Department of Experimental Clinical and Health Psychology, Ghent University, Ghent, Belgium
| | - Marie-Anne Vanderhasselt
- Department of Head and Skin - Psychiatry and Medical Psychology, Ghent University Hospital, Ghent, Belgium; Ghent Experimental Psychiatry (GHEP) Lab, Ghent, Belgium; Department of Experimental Clinical and Health Psychology, Ghent University, Ghent, Belgium
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Beshai S, Parmar P. Trait mindfulness may buffer against the deleterious effects of childhood abuse in recurrent depression: A retrospective exploratory study. CLIN PSYCHOL-UK 2020. [DOI: 10.1111/cp.12147] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Shadi Beshai
- Department of Psychology, University of Regina, Regina, Canada,
| | - Priya Parmar
- Department of Psychology, University of Regina, Regina, Canada,
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Baumann M, Stargardt T, Frey S. Cost-Utility of Internet-Based Cognitive Behavioral Therapy in Unipolar Depression: A Markov Model Simulation. APPLIED HEALTH ECONOMICS AND HEALTH POLICY 2020; 18:567-578. [PMID: 32060822 PMCID: PMC7347685 DOI: 10.1007/s40258-019-00551-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
BACKGROUND AND OBJECTIVE Unipolar depression is the most common form of depression and demand for treatment, such as psychotherapy, is high. However, waiting times for psychotherapy often considerably exceed their recommended maximum. As a potentially less costly alternative treatment, internet-based cognitive behavior therapy (ICBT) might help reduce waiting times. We therefore analyzed the cost-utility of ICBT compared to face-to-face CBT (FCBT) as an active control treatment, taking differences in waiting time into account. METHODS We constructed a Markov model to simulate costs and health outcomes measured in quality-adjusted life years (QALYs) for ICBT and FCBT in Germany. We modeled a time horizon of 3 years using six states (remission, depressed, spontaneous remission, undergoing treatment, treatment finished, death). The societal perspective was adopted. We obtained parameters for transition probabilities, depression-specific QoL, and cost data from the literature. Deterministic and probabilistic sensitivity analyses were conducted. Within a scenario analysis, we simulated different time-to-treatment combinations. Half-cycle correction was applied. RESULTS In our simulation, ICBT generated 0.260 QALYs and saved €2536 per patient compared to FCBT. Our deterministic sensitivity analysis suggests that the base-case results were largely unaffected by parameter uncertainty and are therefore robust. Our probabilistic sensitivity analysis suggests that ICBT is highly likely to be more effective (91.5%), less costly (76.0%), and the dominant strategy (69.7%) compared to FCBT. The scenario analysis revealed that the base-case results are robust to variations in time-to-treatment differences. CONCLUSION ICBT has a strong potential to balance demand and supply of CBT in unipolar depression by reducing therapist time per patient. It is highly likely to generate more QALYs and reduce health care expenditure. In addition, ICBT may have further positive external effects, such as freeing up capacities for the most severely depressed patients.
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Affiliation(s)
- Mathias Baumann
- Hamburg Center for Health Economics (HCHE), Universität Hamburg, Esplanade 36, 20354 Hamburg, Germany
| | - Tom Stargardt
- Hamburg Center for Health Economics (HCHE), Universität Hamburg, Esplanade 36, 20354 Hamburg, Germany
| | - Simon Frey
- Hamburg Center for Health Economics (HCHE), Universität Hamburg, Esplanade 36, 20354 Hamburg, Germany
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Cano-López JB, Salguero JM, García-Sancho E, Ramos-Cejudo J. Testing the Metacognitive Model of Rumination and Depression in Non-clinical Population: New Data about PBRS and NBRS Scales. JOURNAL OF PSYCHOPATHOLOGY AND BEHAVIORAL ASSESSMENT 2020. [DOI: 10.1007/s10862-020-09828-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Influence of combinations of drugs that act on the CYP2D6 metabolic pathway in the treatment of major depressive disorder: A population-based study. Eur Psychiatry 2020; 29:331-7. [DOI: 10.1016/j.eurpsy.2013.10.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2013] [Revised: 08/30/2013] [Accepted: 10/07/2013] [Indexed: 01/08/2023] Open
Abstract
AbstractObjectiveTo describe the frequency of drug combinations (substrate-substrate or substrate-inhibitor) with the potential to interfere with the CYP2D6 metabolic pathway in patients receiving antidepressant medication for major depressive disorder.MethodsWe carried out an observational study using outpatient medical records. We included adult subjects who initiated antidepressant medication during 2008–2010. Patients were assigned to three study groups: no combination, substrate-substrate, and substrate-inhibitor. Follow-up period was 12 months. Main measures: demographics, comorbidity and medication persistence. Statistical analysis included a logistic regression model, P < 0.05.ResultsFive thousand six hundred and thirty patients were recruited (61.9 years, 76.9% female), 24.4% (CI: 23.8 – 26.0%) received some kind of drug combination (substrate-substrate: 15.4%, substrate-inhibitor: 9.0%). Variables significantly associated with drugs combinations that may act on the CYP2D6 metabolic pathway were: dementia (OR = 4.2), neuropathy (OR = 4.2) and stroke (OR = 1.9), P < 0.001. Medication persistence at 12 months was longer in patients with no combination (55.3%) than in patients receiving substrate-substrate (50.5%) or substrate-inhibitor (45.0%) combinations, P < 0.001.ConclusionsTwenty-five percent of major depressive disorder patients received a combination of drugs with the potential to interfere with CYP2D6 metabolic pathway. These combinations increased with comorbidity and resulted in shorter medication persistence of antidepressant treatment.
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Breedvelt JJF, Warren FC, Brouwer ME, Karyotaki E, Kuyken W, Cuijpers P, van Oppen P, Gilbody S, Bockting CLH. Individual participant data (IPD) meta-analysis of psychological relapse prevention interventions versus control for patients in remission from depression: a protocol. BMJ Open 2020; 10:e034158. [PMID: 32060157 PMCID: PMC7044815 DOI: 10.1136/bmjopen-2019-034158] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
INTRODUCTION Psychological interventions and antidepressant medication can be effective interventions to prevent depressive relapse for patients currently in remission of depression. Less is known about overall factors that predict or moderate treatment response for patients receiving a psychological intervention for recurrent depression. This is a protocol for an individual participant data (IPD) meta-analysis which aims to assess predictors and moderators of relapse or recurrence for patients currently in remission from depression. METHODS AND ANALYSIS Searches of PubMed, PsycINFO, Embase and Cochrane Central Register of Controlled Trials were completed on 13 October 2019. Study extractions and risk of bias assessments have been completed. Study authors will be asked to contribute IPD. Standard aggregate meta-analysis and IPD analysis will be conducted, and the outcomes will be compared with assess whether results differ between studies supplying data and those that did not. IPD files of individual data will be merged and variables homogenised where possible for consistency. IPD will be analysed via Cox regression and one and two-stage analyses will be conducted. ETHICS AND DISSEMINATION The results will be published in peer review journals and shared in a policy briefing as well as accessible formats and shared with a range of stakeholders. The results will inform patients and clinicians and researchers about our current understanding of more personalised ways to prevent a depressive relapse. No local ethics approval was necessary following consultation with the legal department. Guidance on patient data storage and management will be adhered to. PROSPERO REGISTRATION NUMBER CRD42019127844.
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Affiliation(s)
- Josefien J F Breedvelt
- Department of Psychiatry and Amsterdam Public Health research institute, Amsterdam University Medical Centre - Location AMC, Amsterdam, The Netherlands
| | - Fiona C Warren
- Institute of Health Research, College of Medicine & Health, University of Exeter, Exeter, UK
| | - Marlies E Brouwer
- Department of Psychiatry and Amsterdam Public Health research institute, Amsterdam University Medical Centre - Location AMC, Amsterdam, The Netherlands
| | - Eirini Karyotaki
- Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health research institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - Willem Kuyken
- Department of Psychiatry, University of Oxford, Oxford, Oxfordshire, UK
| | - Pim Cuijpers
- Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health research institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Patricia van Oppen
- Department of Psychiatry, Amsterdam Public Health research institute, Amsterdam University Medical Centre, location VUmc and GGZ InGeest, Amsterdam, Netherlands
| | - Simon Gilbody
- Mental Health and Addictions Research Group - Department of Health Sciences, The University of York, York, UK
| | - Claudi L H Bockting
- Department of Psychiatry and Amsterdam Public Health research institute, Amsterdam University Medical Centre - Location AMC, Amsterdam, The Netherlands
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Van Leeuwen E, van Driel ML, De Sutter AIM, Anderson K, Robertson L, Christiaens T. Discontinuation of long-term antidepressant use for depressive and anxiety disorders in adults. Hippokratia 2020. [DOI: 10.1002/14651858.cd013495] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Affiliation(s)
- Ellen Van Leeuwen
- Ghent University; Clinical Pharmacology Unit of the Department of Pharmacology; Ghent Belgium 9000
- Ghent University; Department of Family Medicine and Primary Health Care; Ghent Belgium
| | - Mieke L van Driel
- The University of Queensland; Primary Care Clinical Unit, Faculty of Medicine; Brisbane Queensland Australia 4029
| | - An IM De Sutter
- Ghent University; Department of Family Medicine and Primary Health Care; Ghent Belgium
| | - Kristen Anderson
- The University of Queensland; School of Pharmacy; Brisbane Australia
| | - Lindsay Robertson
- University of York; Cochrane Common Mental Disorders; Heslington York UK YO10 5DD
| | - Thierry Christiaens
- Ghent University; Clinical Pharmacology Unit of the Department of Pharmacology; Ghent Belgium 9000
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Gaillard C, Guillod M, Ernst M, Federspiel A, Schoebi D, Recabarren RE, Ouyang X, Mueller-Pfeiffer C, Horsch A, Homan P, Wiest R, Hasler G, Martin-Soelch C. Striatal reactivity to reward under threat-of-shock and working memory load in adults at increased familial risk for major depression: A preliminary study. Neuroimage Clin 2020; 26:102193. [PMID: 32036303 PMCID: PMC7011085 DOI: 10.1016/j.nicl.2020.102193] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Revised: 12/27/2019] [Accepted: 01/20/2020] [Indexed: 12/21/2022]
Abstract
INTRODUCTION Anhedonia, a core symptom of Major Depressive Disorder (MDD), manifests as a lack or loss of motivation as reflected by decreased reward responsiveness, at both behavioral and neural (i.e., striatum) levels. Exposure to stressful life events is another important risk factor for MDD. However, the mechanisms linking reward-deficit and stress to MDD remain poorly understood. Here, we explore whether the effects of stress exposure on reward processing might differentiate between Healthy Vulnerable adults (HVul, i.e., positive familial MDD) from Healthy Controls (HCon). Furthermore, the well-described reduction in cognitive resources in MDD might facilitate the stress-induced decrease in reward responsiveness in HVul individuals. Accordingly, this study includes a manipulation of cognitive resources to address the latter possibility. METHODS 16 HVul (12 females) and 16 gender- and age-matched HCon completed an fMRI study, during which they performed a working memory reward task. Three factors were manipulated: reward (reward, no-reward), cognitive resources (working memory at low and high load), and stress level (no-shock, unpredictable threat-of-shock). Only the reward anticipation phase was analyzed. Imaging analyses focused on striatal function. RESULTS Compared to HCon, HVul showed lower activation in the caudate nucleus across all conditions. The HVul group also exhibited lower stress-related activation in the nucleus accumbens, but only in the low working memory (WM) load condition. Moreover, while stress potentiated putamen reactivity to reward cues in HVul when the task was more demanding (high WM load), stress blunted putamen reactivity in both groups when no reward was at stake. CONCLUSION Findings suggest that HVul might be at increased risk of developing anhedonic symptoms due to weaker encoding of reward value, higher difficulty to engage in goal-oriented behaviors and increased sensitivity to negative feedback, particularly in stressful contexts. These findings open new avenues for a better understanding of the mechanisms underlying how the complex interaction between the systems of stress and reward responsiveness contribute to the vulnerability to MDD, and how cognitive resources might modulate this interaction.
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Affiliation(s)
- Claudie Gaillard
- IReach Lab, Unit of Clinical and Health Psychology, Department of Psychology, University of Fribourg, Fribourg, Switzerland; Section on Neurobiology of Fear and Anxiety, National Institute of Mental Health, Bethesda, Maryland, USA.
| | - Matthias Guillod
- IReach Lab, Unit of Clinical and Health Psychology, Department of Psychology, University of Fribourg, Fribourg, Switzerland
| | - Monique Ernst
- Section on Neurobiology of Fear and Anxiety, National Institute of Mental Health, Bethesda, Maryland, USA
| | - Andrea Federspiel
- Psychiatric Neuroimaging Unit, Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Dominik Schoebi
- Unit of Clinical Family Psychology, Department of Psychology, University of Fribourg, Fribourg, Switzerland
| | - Romina Evelyn Recabarren
- IReach Lab, Unit of Clinical and Health Psychology, Department of Psychology, University of Fribourg, Fribourg, Switzerland
| | - Xinyi Ouyang
- iBM Lab, Department of Psychology, University of Fribourg, Fribourg, Switzerland
| | - Christoph Mueller-Pfeiffer
- Department of Consultation-Liaison-Psychiatry and Psychosomatic Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Antje Horsch
- Department Woman-Mother-Child, Lausanne University Hospital, Lausanne, Switzerland; Institute of Higher Education and Research in Healthcare, University of Lausanne, Lausanne, Switzerland
| | - Philipp Homan
- Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, New York, New York, USA
| | - Roland Wiest
- Department of Diagnostic and Interventional Neuroradiology, University Hospital of Bern, Bern, Switzerland
| | - Gregor Hasler
- Unit of Psychiatry Research, University of Fribourg, Fribourg, Switzerland
| | - Chantal Martin-Soelch
- IReach Lab, Unit of Clinical and Health Psychology, Department of Psychology, University of Fribourg, Fribourg, Switzerland
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Brouwer ME, Molenaar NM, Burger H, Williams AD, Albers CJ, Lambregtse-van den Berg MP, Bockting CLH. Tapering Antidepressants While Receiving Digital Preventive Cognitive Therapy During Pregnancy: An Experience Sampling Methodology Trial. Front Psychiatry 2020; 11:574357. [PMID: 33192705 PMCID: PMC7641921 DOI: 10.3389/fpsyt.2020.574357] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Accepted: 09/25/2020] [Indexed: 12/18/2022] Open
Abstract
Background: Previous studies indicated that affect fluctuations, the use of antidepressant medication (ADM), as well as depression during pregnancy might have adverse effects on offspring outcomes. The aim of the current proof-of-principle study is to explore the effect of tapering ADM while receiving online preventive cognitive therapy (PCT) on pregnant women and the offspring as compared to pregnant women continuing ADM. Objectives: We sought to compare positive and negative affect fluctuations in pregnant women receiving online PCT while tapering ADM vs. pregnant women continuing ADM, and to investigate if affect fluctuations in early pregnancy were related to offspring birth weight. Method: An experience sampling methodology (ESM)-trial ran alongside a Dutch randomized controlled trial (RCT) and prospective observational cohort of women using ADM at the start of pregnancy. In the ESM-trial fluctuations of positive and negative affect were assessed in the first 8 weeks after inclusion. Recurrences of depression were assessed up to 12 weeks post-partum, and birth records were used to assess offspring birth weight. The RCT has been registered at the Netherlands Trial Register (NTR4694, https://www.trialregister.nl/trial/4551). Results: In total, 19 pregnant women using ADM at start of their pregnancy participated in the ESM-trial. There were no significant differences in positive and negative affect fluctuations, nor recurrence rates between women receiving PCT while tapering ADM vs. women continuing ADM. We found no association between affect fluctuations, pre-natal depressive symptoms, and birth weight (all p > 0.05). Conclusion: This explorative study showed that tapering ADM while receiving online PCT may protect pregnant women against recurrences of depression and affect fluctuations, without affecting birth weight. There is a high need for more controlled studies focusing on tapering ADM with (online) psychological interventions during pregnancy.
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Affiliation(s)
- Marlies E Brouwer
- Department of Clinical Psychology, Utrecht University, Utrecht, Netherlands.,Department of Psychiatry, Amsterdam University Medical Centres, Location AMC, University of Amsterdam, Amsterdam, Netherlands
| | - Nina M Molenaar
- Departments of Psychiatry and Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Centre Rotterdam, Rotterdam, Netherlands.,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Huibert Burger
- Department of Psychiatry, Amsterdam University Medical Centres, Location AMC, University of Amsterdam, Amsterdam, Netherlands.,Department of General Practice, University Medical Centre Groningen, University of Groningen, Groningen, Netherlands
| | - Alishia D Williams
- Faculty of Science, School of Psychology, The University of New South Wales, Sydney, NSW, Australia
| | - Casper J Albers
- Heymans Institute for Psychological Research, University of Groningen, Groningen, Netherlands
| | - Mijke P Lambregtse-van den Berg
- Departments of Psychiatry and Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Claudi L H Bockting
- Department of Psychiatry, Amsterdam University Medical Centres, Location AMC, University of Amsterdam, Amsterdam, Netherlands.,Institute for Advanced Study, Netherlands Institute for Advanced Study in the Humanities and Social Sciences, Royal Netherlands Academy of Arts and Sciences, University of Amsterdam, Amsterdam, Netherlands.,Centre for Urban Mental Health, University of Amsterdam, Amsterdam, Netherlands
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Moriarty AS, Meader N, Gilbody S, Chew-Graham CA, Churchill R, Ali S, Phillips RS, Riley RD, McMillan D. Prognostic models for predicting relapse or recurrence of depression. Hippokratia 2019. [DOI: 10.1002/14651858.cd013491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Andrew S Moriarty
- University of York; Mental Health and Addiction Research Group, Department of Health Sciences; York UK
- University of York; Hull York Medical School; York UK
| | - Nicholas Meader
- University of York; Centre for Reviews and Dissemination; York UK YO10 5DD
- University of York; Cochrane Common Mental Disorders; York UK
| | - Simon Gilbody
- University of York; Mental Health and Addiction Research Group, Department of Health Sciences; York UK
- University of York; Hull York Medical School; York UK
| | | | - Rachel Churchill
- University of York; Centre for Reviews and Dissemination; York UK YO10 5DD
- University of York; Cochrane Common Mental Disorders; York UK
| | - Shehzad Ali
- University of York; Mental Health and Addiction Research Group, Department of Health Sciences; York UK
- Western University; Department of Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry; London ON Canada
| | - Robert S Phillips
- University of York; Centre for Reviews and Dissemination; York UK YO10 5DD
| | - Richard D Riley
- Keele University; School of Primary, Community and Social Care; Keele UK
| | - Dean McMillan
- University of York; Mental Health and Addiction Research Group, Department of Health Sciences; York UK
- University of York; Hull York Medical School; York UK
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Monnart A, Vanderhasselt MA, Schroder E, Campanella S, Fontaine P, Kornreich C. Treatment of Resistant Depression: A Pilot Study Assessing the Efficacy of a tDCS-Mindfulness Program Compared With a tDCS-Relaxation Program. Front Psychiatry 2019; 10:730. [PMID: 31708808 PMCID: PMC6819945 DOI: 10.3389/fpsyt.2019.00730] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2018] [Accepted: 09/11/2019] [Indexed: 01/30/2023] Open
Abstract
Background: This pilot study explores a therapeutic setting combining transcranial direct current stimulation (tDCS) and mindfulness-based cognitive therapy (MBCT) for patients with drug-resistant depression. tDCS has shown efficacy for depression treatment and improvement could be maintained with the combination with mindfulness, which has shown depression relapse-prevention properties. Methods: Thirty-one treatment-resistant depressed patients have been assigned to our experimental treatment condition [tDCS combined with MBCT (n = 15)] or to a control condition [tDCS combined with relaxation (n = 16)]. Patients have completed both an intensive treatment block (eight consecutive days) and a single remind session 2 weeks after the intensive treatment. Clinical (depression, anxiety, and rumination) and cognitive (general cognitive functioning, mental flexibility, and working memory) symptoms of depression have been assessed through different questionnaires at baseline (t0), after the first block of treatment (t1), and after the remind session (t2). Results: Results seem to indicate a positive impact of both treatment conditions on clinical and cognitive symptoms of depression at t1. However, the treatment condition combining tDCS with mindfulness has been found to better maintain clinical improvements at t2 regarding some clinical [Montgomery-Åsberg Depression Rating Scale (MADRS) and Sadness and Anger Ruminative Inventory (SARI)] and cognitive variables (Digit Span-F and Digit Span-B). Conclusion: Based on the current observations, a multi-disciplinary treatment approach combining tDCS and MBCT might be effective in resistant depressed patients in the long run, even though further clinical research is necessary.
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Affiliation(s)
- Aurore Monnart
- Laboratory of Psychological Medicine and Addictology, CHU Brugmann - ULB Neuroscience Institue (UNI), University of Brussels (ULB), Brussels, Belgium
| | - Marie-Anne Vanderhasselt
- Department of Head and Skin, Ghent Experimental Psychiatry Lab, Ghent University (UGent), Ghent, Belgium
- Department of Experimental Clinical and Health Psychology, Ghent University, Ghent, Belgium
| | - Elisa Schroder
- Laboratory of Psychological Medicine and Addictology, CHU Brugmann - ULB Neuroscience Institue (UNI), University of Brussels (ULB), Brussels, Belgium
| | - Salvatore Campanella
- Laboratory of Psychological Medicine and Addictology, CHU Brugmann - ULB Neuroscience Institue (UNI), University of Brussels (ULB), Brussels, Belgium
| | | | - Charles Kornreich
- Laboratory of Psychological Medicine and Addictology, CHU Brugmann - ULB Neuroscience Institue (UNI), University of Brussels (ULB), Brussels, Belgium
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Supported self-help to prevent relapse or recurrence of depression: Who benefits most? J Affect Disord 2019; 257:180-186. [PMID: 31301621 DOI: 10.1016/j.jad.2019.07.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2019] [Revised: 07/02/2019] [Accepted: 07/03/2019] [Indexed: 10/26/2022]
Abstract
BACKGROUND This study aimed to identify subgroups for whom supported self-help preventive cognitive therapy (S-PCT) is more (cost)effective than treatment as usual (TAU) in preventing relapse and recurrence of major depression. METHODS We conducted a randomized controlled trial in which 248 remitted, recurrently depressed participants were randomized to S-PCT (n = 124) or TAU (n = 124). Clinical outcome was relapse or recurrence of major depressive disorder (SCID-I). We tested the moderating effects on relapse or recurrence of age, gender, education level, residual depressive symptoms, number of previous episodes, age of onset, antidepressant medication, somatization, and self-efficacy with logistic regression analyses adjusted for baseline values of depressive symptoms. We examined moderating effects on costs using linear regression analyses adjusted for baseline costs. A stratified cost-effectiveness analysis was performed to tease out differences in cost-effectiveness between subgroups. RESULTS We found no moderating effect on relapse or recurrence for any of the potential moderators. For costs, the number of previous depressive episodes was identified as a moderator. At a willingness-to-pay of 16,000€, the probability that S-PCT was cost-effective compared to TAU was 95% for participants with 2-3 episodes and 11% for participants with ≥4 episodes. LIMITATIONS Participants and counselors were not blinded. The study was primarily designed to assess the (cost)effectiveness of S-PCT and not to conduct moderation analyses. CONCLUSIONS S-PCT was effective in preventing relapse or recurrence of depressive disorders in a broad range of participants, but is more likely to be cost-effective in participants with 2-3 episodes than ≥4 episodes. This indicates that S-PCT can best be offered to participants with fewer previous depressive episodes.
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Figueroa CA, DeJong H, Mocking RJT, Fox E, Rive MM, Schene AH, Stein A, Ruhé HG. Attentional control, rumination and recurrence of depression. J Affect Disord 2019; 256:364-372. [PMID: 31207560 DOI: 10.1016/j.jad.2019.05.072] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2019] [Revised: 05/27/2019] [Accepted: 05/29/2019] [Indexed: 01/24/2023]
Abstract
BACKGROUND Depressive recurrence is highly prevalent and adds significantly to the burden of depressive disorder. Whilst some clinical predictors of recurrence have been clearly demonstrated (e.g. residual symptoms, previous episodes), the cognitive and psychological processes that may contribute to recurrence risk are less well established. In this study we examine whether cognitive flexibility deficits and rumination are related to recurrence in a remitted clinical sample. METHOD We compared remitted patients with 2 or more previous depressive episodes (N = 69) to a matched group of healthy controls (N = 43). Cognitive flexibility was measured using the Internal Shift Task (IST) and a version of the Exogenous Cueing Task (ECT); rumination was assessed with the Ruminative Responses Scale. RESULTS IST and ECT performance did not differ between remitted patients and controls. Remitted patients had higher levels of rumination than controls. Within the remitted patient group, faster disengagement from angry and happy faces on the ECT was predictive of shorter time to recurrence (hazard ratio for 1 standard deviation, (HRSD) = 0.563 [CI, 0.381-0.832], p = 0.004, (HRSD) = 0.561 [CI, 0.389-0.808], p = 0.002, respectively). Rumination predicted recurrence (HRSD = 1.526 [CI, 1.152-2.202]; p = 0.003) but was not related to emotional disengagement. LIMITATIONS We had low power to detect small effects for the analysis within remitted patients. CONCLUSIONS Whilst cognitive flexibility in remitted patients was not impaired relative to controls, rapid disengagement from emotional stimuli and rumination were independently associated with time to recurrence. Cognitive flexibility may be an important indicator of recurrence risk, and a target for interventions to reduce recurrence.
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Affiliation(s)
- Caroline A Figueroa
- School of Social Welfare, University of California, 102 Haviland Hall, Berkeley, United States; Department of Psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands.
| | - Hannah DeJong
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom.
| | - Roel J T Mocking
- Department of Psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands
| | - Elaine Fox
- Department of Experimental Psychology, University of Oxford, Oxford, United Kingdom
| | - Maaike M Rive
- Department of Psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands
| | - Aart H Schene
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, the Netherlands; Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, the Netherlands
| | - Alan Stein
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - Henricus G Ruhé
- School of Social Welfare, University of California, 102 Haviland Hall, Berkeley, United States; Department of Psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands; Department of Psychiatry, Radboud University Medical Center, Nijmegen, the Netherlands; Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, the Netherlands
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