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Alderman BL, Perdue HM, Sarwani AH. Exercise for the Prevention and Treatment of Depression. Curr Top Behav Neurosci 2024. [PMID: 39042248 DOI: 10.1007/7854_2024_496] [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: 07/24/2024]
Abstract
Depression is among the world's leading causes of disability and accounts for a significant loss of life. Despite large investments in research for antidepressants and psychotherapies, non-response, partial response, and small effects remain significant problems. Exercise and physical activity are two lifestyle behaviors that have been studied for well over half a century for the prevention and treatment of depression. The aim of this chapter is to summarize the current evidence base supporting the efficacy of exercise and physical activity in the prevention and treatment of depression, including evidence supporting exercise as a monotherapy and adjunct to antidepressant medication and psychotherapies. We conclude the chapter by outlining challenges to prescribing exercise for depression and general recommendations for encouraging behavioral adoption for individuals suffering from depression.
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Affiliation(s)
- Brandon L Alderman
- Department of Kinesiology and Health, Rutgers University, New Brunswick, NJ, USA.
| | - Hannah M Perdue
- Department of Kinesiology and Health, Rutgers University, New Brunswick, NJ, USA
| | - Amber H Sarwani
- Department of Kinesiology and Health, Rutgers University, New Brunswick, NJ, USA
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2
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Breznoscakova D, Pallayova M, Izakova L, Kralova M. In-person psychoeducational intervention to reduce rehospitalizations and improve the clinical course of major depressive disorder: a non-randomized pilot study. Front Psychiatry 2024; 15:1429913. [PMID: 39045547 PMCID: PMC11263164 DOI: 10.3389/fpsyt.2024.1429913] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Accepted: 06/28/2024] [Indexed: 07/25/2024] Open
Abstract
Background Emerging issues in the management of major depressive disorder (MDD) comprise a nonadherence to treatment and treatment failures, depressive recurrence and relapses, misidentification of incoming exacerbated phases and consequently, a chronification of depression. While antidepressant drugs constitute the standard of care for MDD, effective psychosocial interventions are needed to reduce rehospitalizations and other adverse events. The present study primarily investigated the effects and impact of implementing a structured psychoeducational intervention on the clinical course of MDD. Methods A non-randomized comparative, pragmatic, pilot, single-center study of adults with nonpsychotic moderate or severe episode of MDD recently discharged from a psychiatric hospitalization. The consecutive subjects were allocated either to the intervention group (N=49) or to the attention control group (N=47), based on their preference. The psychoeducational intervention was based on a modified Munoz's Depression Prevention Course. Subjects were followed up prospectively for two years. Results The absolute changes in Beck anxiety inventory scale, Zung's depression questionnaire, and Montgomery and Äsberg depression rating scale (MADRS) total scores at 6-month follow-up were comparable between the two groups. There were lower rates of the rehospitalization within one year (2.1% vs. 16.7%; P<0.001) and less rehospitalizations after one year (6.3% vs. 25%; P<0.001), lower rates of the ongoing sickness absence (11.5% vs. 29.2%; P<0.001), less persons with disability due to MDD at 1-year follow-up (1% vs. 11.5%; P=0.002), and less nonadherent subjects who self-discontinued treatment (6.3% vs. 28.1%; P<0.001) among participants in the intervention group compared to the control group. The disability due to MDD at 1-year follow-up was predicted by the absence of the psychoeducational intervention (P=0.002) and by the MADRS total score at 6-month follow-up (OR 1.10; 95% CI 1.003-1.195; P=0.044). Qualitative data indicated the intervention was desired and appreciated by the participants, as well as being practical to implement in Slovakian clinical settings. Conclusion The results suggest the psychoeducational intervention based on a modified Munoz's Depression Prevention Course has beneficial effects in adults with MDD recently discharged from a psychiatric hospitalization. The findings implicate the psychoeducational intervention may offer a new approach to the prevention of depressive relapses.
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Affiliation(s)
- Dagmar Breznoscakova
- Center for Mental Functions, Vranov nad Toplou, Slovakia
- Department of Social and Behavioural Medicine, Faculty of Medicine, Pavol Jozef Safarik University, Kosice, Slovakia
| | - Maria Pallayova
- 1 Department of Psychiatry, University Hospital of Louis Pasteur, Kosice, Slovakia
- Department of Human Physiology, Faculty of Medicine, Pavol Jozef Safarik University, Kosice, Slovakia
| | - Lubomira Izakova
- Department of Psychiatry, Faculty of Medicine Comenius University and University Hospital Bratislava, Bratislava, Slovakia
| | - Maria Kralova
- Department of Psychiatry, Faculty of Medicine Comenius University and University Hospital Bratislava, Bratislava, Slovakia
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3
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Lewis G, Lewis G. Discontinuation symptoms of antidepressants. Lancet Psychiatry 2024; 11:485-486. [PMID: 38851199 DOI: 10.1016/s2215-0366(24)00174-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Accepted: 05/21/2024] [Indexed: 06/10/2024]
Affiliation(s)
- Glyn Lewis
- UCL Division of Psychiatry, University College London, London, W1T 7NF, UK.
| | - Gemma Lewis
- UCL Division of Psychiatry, University College London, London, W1T 7NF, UK
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Lam RW, Kennedy SH, Adams C, Bahji A, Beaulieu S, Bhat V, Blier P, Blumberger DM, Brietzke E, Chakrabarty T, Do A, Frey BN, Giacobbe P, Gratzer D, Grigoriadis S, Habert J, Ishrat Husain M, Ismail Z, McGirr A, McIntyre RS, Michalak EE, Müller DJ, Parikh SV, Quilty LS, Ravindran AV, Ravindran N, Renaud J, Rosenblat JD, Samaan Z, Saraf G, Schade K, Schaffer A, Sinyor M, Soares CN, Swainson J, Taylor VH, Tourjman SV, Uher R, van Ameringen M, Vazquez G, Vigod S, Voineskos D, Yatham LN, Milev RV. Canadian Network for Mood and Anxiety Treatments (CANMAT) 2023 Update on Clinical Guidelines for Management of Major Depressive Disorder in Adults: Réseau canadien pour les traitements de l'humeur et de l'anxiété (CANMAT) 2023 : Mise à jour des lignes directrices cliniques pour la prise en charge du trouble dépressif majeur chez les adultes. CANADIAN JOURNAL OF PSYCHIATRY. REVUE CANADIENNE DE PSYCHIATRIE 2024:7067437241245384. [PMID: 38711351 DOI: 10.1177/07067437241245384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2024]
Abstract
BACKGROUND The Canadian Network for Mood and Anxiety Treatments (CANMAT) last published clinical guidelines for the management of major depressive disorder (MDD) in 2016. Owing to advances in the field, an update was needed to incorporate new evidence and provide new and revised recommendations for the assessment and management of MDD in adults. METHODS CANMAT convened a guidelines editorial group comprised of academic clinicians and patient partners. A systematic literature review was conducted, focusing on systematic reviews and meta-analyses published since the 2016 guidelines. Recommendations were organized by lines of treatment, which were informed by CANMAT-defined levels of evidence and supplemented by clinical support (consisting of expert consensus on safety, tolerability, and feasibility). Drafts were revised based on review by patient partners, expert peer review, and a defined expert consensus process. RESULTS The updated guidelines comprise eight primary topics, in a question-and-answer format, that map a patient care journey from assessment to selection of evidence-based treatments, prevention of recurrence, and strategies for inadequate response. The guidelines adopt a personalized care approach that emphasizes shared decision-making that reflects the values, preferences, and treatment history of the patient with MDD. Tables provide new and updated recommendations for psychological, pharmacological, lifestyle, complementary and alternative medicine, digital health, and neuromodulation treatments. Caveats and limitations of the evidence are highlighted. CONCLUSIONS The CANMAT 2023 updated guidelines provide evidence-informed recommendations for the management of MDD, in a clinician-friendly format. These updated guidelines emphasize a collaborative, personalized, and systematic management approach that will help optimize outcomes for adults with MDD.
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Affiliation(s)
- Raymond W Lam
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Sidney H Kennedy
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Camelia Adams
- Department of Psychiatry, University of Saskatchewan, Saskatoon, SK, Canada
| | - Anees Bahji
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada
| | - Serge Beaulieu
- Department of Psychiatry, McGill University, Montréal, QC, Canada
| | - Venkat Bhat
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Pierre Blier
- Department of Psychiatry, University of Ottawa, Ottawa, ON, Canada
| | | | - Elisa Brietzke
- Department of Psychiatry, Queen's University, Kingston, ON, Canada
| | - Trisha Chakrabarty
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - André Do
- Department of Psychiatry, Université de Montréal, Montréal, QC, Canada
| | - Benicio N Frey
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
| | - Peter Giacobbe
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - David Gratzer
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | | | - Jeffrey Habert
- Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada
| | - M Ishrat Husain
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Zahinoor Ismail
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada
| | - Alexander McGirr
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada
| | - Roger S McIntyre
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Erin E Michalak
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Daniel J Müller
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Sagar V Parikh
- Department of Psychiatry, University of Michigan, Ann Arbour, MI, USA
| | - Lena S Quilty
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Arun V Ravindran
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Nisha Ravindran
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Johanne Renaud
- Department of Psychiatry, McGill University, Montréal, QC, Canada
| | | | - Zainab Samaan
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
| | - Gayatri Saraf
- Department of Psychiatry, University of Ottawa, Ottawa, ON, Canada
| | - Kathryn Schade
- Office of Research Services, Huron University, London, ON, Canada
| | - Ayal Schaffer
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Mark Sinyor
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Claudio N Soares
- Department of Psychiatry, Queen's University, Kingston, ON, Canada
| | - Jennifer Swainson
- Department of Psychiatry, University of Alberta, Edmonton, AB, Canada
| | - Valerie H Taylor
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada
| | - Smadar V Tourjman
- Department of Psychiatry, Université de Montréal, Montréal, QC, Canada
| | - Rudolf Uher
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Michael van Ameringen
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
| | - Gustavo Vazquez
- Department of Psychiatry, Queen's University, Kingston, ON, Canada
| | - Simone Vigod
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Daphne Voineskos
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Lakshmi N Yatham
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Roumen V Milev
- Department of Psychiatry, Queen's University, Kingston, ON, Canada
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Vinkers CH, Kupka RW, Penninx BW, Ruhé HG, van Gaalen JM, van Haaren PCF, Schellekens AFA, Jauhar S, Ramos-Quiroga JA, Vieta E, Tiihonen J, Veldman SE, Veling W, Vis R, de Wit LE, Luykx JJ. Discontinuation of psychotropic medication: a synthesis of evidence across medication classes. Mol Psychiatry 2024:10.1038/s41380-024-02445-4. [PMID: 38503923 DOI: 10.1038/s41380-024-02445-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 12/22/2023] [Accepted: 01/22/2024] [Indexed: 03/21/2024]
Abstract
Pharmacotherapy is an effective treatment modality across psychiatric disorders. Nevertheless, many patients discontinue their medication at some point. Evidence-based guidance for patients, clinicians, and policymakers on rational discontinuation strategies is vital to enable the best, personalized treatment for any given patient. Nonetheless, there is a scarcity of guidelines on discontinuation strategies. In this perspective, we therefore summarize and critically appraise the evidence on discontinuation of six major psychotropic medication classes: antidepressants, antipsychotics, benzodiazepines, mood stabilizers, opioids, and stimulants. For each medication class, a wide range of topics pertaining to each of the following questions are discussed: (1) Who can discontinue (e.g., what are risk factors for relapse?); (2) When to discontinue (e.g., after 1 year or several years of antidepressant use?); and (3) How to discontinue (e.g., what's the efficacy of dose reduction compared to full cessation and interventions to mitigate relapse risk?). We thus highlight how comparing the evidence across medication classes can identify knowledge gaps, which may pave the way for more integrated research on discontinuation.
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Affiliation(s)
- Christiaan H Vinkers
- Department of Psychiatry and Anatomy & Neurosciences, Amsterdam University Medical Center location Vrije Universiteit Amsterdam, 1081 HV, Amsterdam, The Netherlands.
- Amsterdam Public Health, Mental Health Program and Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep & Stress Program, Amsterdam, The Netherlands.
- GGZ inGeest Mental Health Care, Amsterdam, The Netherlands.
| | - Ralph W Kupka
- Department of Psychiatry, Amsterdam Neuroscience and Amsterdam Public Health, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Brenda W Penninx
- Department of Psychiatry, Amsterdam Neuroscience and Amsterdam Public Health, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Henricus G Ruhé
- Department of Psychiatry, Radboudumc, Radboud University, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands
| | - Jakob M van Gaalen
- GGZ inGeest Mental Health Care, Amsterdam, The Netherlands
- Department of Psychiatry, Amsterdam Neuroscience and Amsterdam Public Health, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Paul C F van Haaren
- Department of Psychiatry, Radboudumc, Radboud University, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands
| | - Arnt F A Schellekens
- Department of Psychiatry, Radboudumc, Radboud University, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands
- Nijmegen Institute for Scientist Practitioners in Addiction (NISPA), Nijmegen, The Netherlands
| | - Sameer Jauhar
- Centre for Affective Disorders, Psychological Medicine, IoPPN, King's College, London, UK
| | - Josep A Ramos-Quiroga
- Department of Mental Health, Hospital Universitari Vall d'Hebron, Barcelona, Catalonia, Spain
- Group of Psychiatry, Mental Health and Addictions, Vall d'Hebron Research Institute (VHIR), Barcelona, Catalonia, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Barcelona, Catalonia, Spain
- Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Catalonia, Spain
| | - Eduard Vieta
- Bipolar and Depressive Disorders Unit, Hospital Clinic, Institute of Neuroscience, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Jari Tiihonen
- Department of Forensic Psychiatry, Niuvanniemi Hospital, University of Eastern Finland, Kuopio, Finland
- Department of Clinical Neuroscience, Karolinska Institutet, 11364, Stockholm, Sweden
- Center for Psychiatry Research, Stockholm City Council, Stockholm, Sweden
- Neuroscience Center, University of Helsinki, Helsinki, Finland
| | - Stijn E Veldman
- Department of Psychiatry, Radboudumc, Radboud University, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands
- Nijmegen Institute for Scientist Practitioners in Addiction (NISPA), Nijmegen, The Netherlands
- Novadic-Kentron Addiction Care, Vught, The Netherlands
| | - Wim Veling
- Department of Psychiatry, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
| | - Roeland Vis
- Department of Clinical Pharmacy, St. Antonius Hospital, Nieuwegein/Utrecht, The Netherlands
| | - Laura E de Wit
- Department of Psychiatry, St. Antonius Hospital, Nieuwegein/Utrecht, The Netherlands
| | - Jurjen J Luykx
- GGZ inGeest Mental Health Care, Amsterdam, The Netherlands
- Department of Psychiatry, Amsterdam Neuroscience and Amsterdam Public Health, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, The Netherlands
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Besten ME, van Vugt M, Riese H, Bockting CLH, Ostafin BD, Aleman A, van Tol MJ. Understanding mechanisms of depression prevention: study protocol of a randomized cross-over trial to investigate mechanisms of mindfulness and positive fantasizing as intervention techniques for reducing perseverative cognition in remitted depressed individuals. BMC Psychiatry 2024; 24:141. [PMID: 38373948 PMCID: PMC10877783 DOI: 10.1186/s12888-024-05592-8] [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: 11/27/2023] [Accepted: 02/06/2024] [Indexed: 02/21/2024] Open
Abstract
BACKGROUND Major Depressive Disorder (MDD) is one of the most prevalent psychiatric disorders, and involves high relapse rates in which persistent negative thinking and rumination (i.e., perseverative cognition [PC]) play an important role. Positive fantasizing and mindfulness are common evidence-based psychological interventions that have been shown to effectively reduce PC and subsequent depressive relapse. How the interventions cause changes in PC over time, is unknown, but likely differ between the two. Whereas fantasizing may change the valence of thought content, mindfulness may operate through disengaging from automatic thought patterns. Comparing mechanisms of both interventions in a clinical sample and a non-clinical sample can give insight into the effectivity of interventions for different individuals. The current study aims to 1) test whether momentary psychological and psychophysiological indices of PC are differentially affected by positive fantasizing versus mindfulness-based interventions, 2) test whether the mechanisms of change by which fantasizing and mindfulness affect PC differ between remitted MDD versus never-depressed (ND) individuals, and 3) explore potential moderators of the main effects of the two interventions (i.e., what works for whom). METHODS In this cross-over trial of fantasizing versus mindfulness interventions, we will include 50 remitted MDD and 50 ND individuals. Before the start of the measurements, participants complete several individual characteristics. Daily-life diary measures of thoughts and feelings (using an experience sampling method), behavioural measures of spontaneous thoughts (using the Sustained Attention to Response Task), actigraphy, physiological measures (impedance cardiography, electrocardiography, and electroencephalogram), and measures of depressive mood (self-report questionnaires) are performed during the week before (pre-) the interventions and the week during (peri-) the interventions. After a wash-out of at least one month, pre- and peri-intervention measures for the second intervention are repeated. DISCUSSION This is the first study integrating self-reports, behavioural-, and physiological measures capturing dynamics at multiple time scales to examine the differential mechanisms of change in PC by psychological interventions in individuals remitted from multiple MDD episodes and ND individuals. Unravelling how therapeutic techniques affect PC in remitted individuals might generate insights that allows development of personalised targeted relapse prevention interventions. TRIAL REGISTRATION ClinicalTrials.gov: NCT06145984, November 16, 2023.
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Affiliation(s)
- Marlijn E Besten
- Department of Biomedical Sciences of Cells and Systems Cognitive Neuroscience Center, University Medical Center Groningen, Groningen, The Netherlands.
- Department of Clinical Neuropsychology, Faculty of Behavioural and Social Sciences, University of Groningen, Groningen, The Netherlands.
| | - Marieke van Vugt
- Computer Science and Artificial Intelligence, Bernoulli Institute of Mathematics, University of Groningen, Groningen, The Netherlands
| | - Harriëtte Riese
- Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation, University Medical Center Groningen, Groningen, The Netherlands
| | - Claudi L H Bockting
- Department of Psychiatry, Academic Medical Center, Amsterdam, The Netherlands
- Centre for Urban Mental Health, University of Amsterdam, Amsterdam, The Netherlands
| | - Brian D Ostafin
- Department of Psychology, University of Groningen, Groningen, The Netherlands
| | - André Aleman
- Department of Biomedical Sciences of Cells and Systems Cognitive Neuroscience Center, University Medical Center Groningen, Groningen, The Netherlands
- Department of Clinical Neuropsychology, Faculty of Behavioural and Social Sciences, University of Groningen, Groningen, The Netherlands
| | - Marie-José van Tol
- Department of Biomedical Sciences of Cells and Systems Cognitive Neuroscience Center, University Medical Center Groningen, Groningen, The Netherlands
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Gøtzsche PC, Demasi M. Interventions to help patients withdraw from depression drugs: A systematic review. INTERNATIONAL JOURNAL OF RISK & SAFETY IN MEDICINE 2024; 35:103-116. [PMID: 37718853 DOI: 10.3233/jrs-230011] [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] [Indexed: 09/19/2023]
Abstract
BACKGROUND Depression drugs can be difficult to come off due to withdrawal symptoms. Gradual tapering with tapering support is needed to help patients withdraw safely. OBJECTIVE To review the withdrawal success rates, using any intervention, and the effects on relapse/recurrence rates, symptom severity, quality of life, and withdrawal symptoms. METHODS Systematic review based on PubMed and Embase searches (last search 4 October 2022) of randomised trials with one or more treatment arms aimed at helping patients withdraw from a depression drug, regardless of indication for treatment. We calculated the mean and median success rates and the risk difference of depressive relapse when discontinuing or continuing depression drugs. RESULTS We included 13 studies (2085 participants). Three compared two withdrawal interventions and ten compared drug discontinuation vs. continuation. The success rates varied hugely between the trials (9% to 80%), with a weighted mean of 47% (95% confidence interval 38% to 57%) and a median of 50% (interquartile range 29% to 65%). A meta-regression showed that the length of taper was highly predictive for the risk of relapse (P = 0.00001). All the studies we reviewed confounded withdrawal symptoms with relapse; did not use hyperbolic tapering; withdrew the depression drug too fast; and stopped it entirely when receptor occupancy was still high. CONCLUSION The true proportion of patients on depression drugs who can stop safely without relapse is likely considerably higher than the 50% we found.
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Böttcher L, Breedvelt JJF, Warren FC, Segal Z, Kuyken W, Bockting CLH. Identifying relapse predictors in individual participant data with decision trees. BMC Psychiatry 2023; 23:835. [PMID: 37957596 PMCID: PMC10644580 DOI: 10.1186/s12888-023-05214-9] [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: 11/10/2022] [Accepted: 09/22/2023] [Indexed: 11/15/2023] Open
Abstract
BACKGROUND Depression is a highly common and recurrent condition. Predicting who is at most risk of relapse or recurrence can inform clinical practice. Applying machine-learning methods to Individual Participant Data (IPD) can be promising to improve the accuracy of risk predictions. METHODS Individual data of four Randomized Controlled Trials (RCTs) evaluating antidepressant treatment compared to psychological interventions with tapering ([Formula: see text]) were used to identify predictors of relapse and/or recurrence. Ten baseline predictors were assessed. Decision trees with and without gradient boosting were applied. To study the robustness of decision-tree classifications, we also performed a complementary logistic regression analysis. RESULTS The combination of age, age of onset of depression, and depression severity significantly enhances the prediction of relapse risk when compared to classifiers solely based on depression severity. The studied decision trees can (i) identify relapse patients at intake with an accuracy, specificity, and sensitivity of about 55% (without gradient boosting) and 58% (with gradient boosting), and (ii) slightly outperform classifiers that are based on logistic regression. CONCLUSIONS Decision tree classifiers based on multiple-rather than single-risk indicators may be useful for developing treatment stratification strategies. These classification models have the potential to contribute to the development of methods aimed at effectively prioritizing treatment for those individuals who require it the most. Our results also underline the existing gaps in understanding how to accurately predict depressive relapse.
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Affiliation(s)
- Lucas Böttcher
- Frankfurt School of Finance and Management, Frankfurt am Main, Germany.
- Department of Medicine, University of Florida, Gainesville, FL, USA.
| | - Josefien J F Breedvelt
- Department of Psychiatry, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands
- NatCen Social Research, London, UK
| | - Fiona C Warren
- Institute of Health Research, College of Medicine and Health, University of Exeter, Exeter, UK
| | - Zindel Segal
- Department of Clinical Psychological Science, University of Toronto Scarborough, Toronto, Ontario, Canada
| | - Willem Kuyken
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Claudi L H Bockting
- Department of Psychiatry, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands
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9
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Gülpen J, Brouwer ME, Geurtsen GJ, van Dis EAM, Denys DAJP, Bockting CL. Treatments for partial remission of major depressive disorder: a systematic review and meta-analysis. BMJ MENTAL HEALTH 2023; 26:1-9. [PMID: 37914347 PMCID: PMC10626872 DOI: 10.1136/bmjment-2023-300827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 10/15/2023] [Indexed: 11/03/2023]
Abstract
QUESTION Partial remission of major depressive disorder (MDD) is a debilitating and distressing clinical state related to chronicity, morbidity and relapse. Although one-third of patients remit partially, evidence for treatment efficacy is unclear. We provide an overview of treatment options and their efficacy. STUDY SELECTION AND ANALYSIS Embase, PsycINFO, Medline and SCOPUS were systematically searched through February 2023. Included were randomised controlled trials (RCTs) examining any treatment in patients with partially remitted MDD aged 13-65 years, reporting data on severity, remission or relapse. FINDINGS Seven RCTs examining psychotherapy including 1024 patients were eligible. There were not enough RCTs to examine effects of pharmacotherapy. Psychotherapy was associated with lower depressive symptom severity at post-treatment (Hedges' g=0.50; 95% CI 0.23 to 0.76), but not at follow-up up to 1 year (Hedges' g=0.36; 95% CI -0.30 to 1.02) or longer (Hedges' g=0.02; 95% CI -0.09 to 0.12). Psychotherapy was associated with superior remission rates at post-treatment (OR 2.57; 95% CI 1.71 to 3.87) and follow-up 6 months or longer (OR 1.75; 95% CI 1.21 to 2.53), although not with improved relapse rates at post-treatment (OR 0.17; 95% CI 0.01 to 4.83) or follow-up 6 months or longer (OR 0.46; 95% CI 0.21 to 1.03). Overall methodological quality was poor. CONCLUSIONS Psychotherapy targeting partial remission may be effective in lowering depressive symptom severity and patients may potentially achieve full remission twice as likely. Yet, long-term and prophylactic effects are lacking. Given the risk of chronicity, more high-quality RCTs are needed. PROSPERO REGISTRATION NUMBER CRD42020188451.
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Affiliation(s)
- Joost Gülpen
- Department of Psychiatry, Amsterdam UMC Location AMC, Amsterdam, The Netherlands
- Mental Health, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Marlies E Brouwer
- Department of Psychiatry, Amsterdam UMC Location AMC, Amsterdam, The Netherlands
- Mental Health, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Gert J Geurtsen
- Department of Medical Psychology, Amsterdam UMC Location AMC, Amsterdam, The Netherlands
- Amsterdam Neuroscience Research Institute, Amsterdam, The Netherlands
| | - Eva A M van Dis
- Department of Psychiatry, Amsterdam UMC Location AMC, Amsterdam, The Netherlands
| | - Damiaan A J P Denys
- Department of Psychiatry, Amsterdam UMC Location AMC, Amsterdam, The Netherlands
- Amsterdam Neuroscience Research Institute, Amsterdam, The Netherlands
| | - Claudi L Bockting
- Department of Psychiatry, Amsterdam UMC Location AMC, Amsterdam, The Netherlands
- Mental Health, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
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10
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Saulnier KG, Panaite V, Ganoczy D, Kim HM, Zivin K, Hofer T, Piette JD, Pfeiffer PN. Depression symptom outcomes and re-engagement among VA patients who discontinue care while symptomatic. Gen Hosp Psychiatry 2023; 85:87-94. [PMID: 37862961 DOI: 10.1016/j.genhosppsych.2023.10.008] [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: 03/02/2023] [Revised: 10/12/2023] [Accepted: 10/12/2023] [Indexed: 10/22/2023]
Abstract
OBJECTIVE Evaluate outcomes of Veterans who discontinued treatment with at least moderate ongoing depressive symptoms. METHOD Veterans with elevated depression symptoms from 29 Department of Veterans Affairs facilities completed baseline surveys and follow-up assessments for one year. Analyses examined rates and predictors of treatment discontinuation, treatment re-engagement, and subsequent symptoms among patients who remained out of care. RESULTS A total of 242 (17.8%; n = 1359) participants discontinued treatment while symptomatic, with Black participants, participants with less severe depression, and participants receiving only psychotherapy (versus combined psychotherapy and antidepressant medications) discontinuing at higher rates. Among all participants who discontinued treatment (n = 445), 45.8% re-engaged within the following six months with participants receiving combined treatment re-engaging at higher rates. Of participants who discontinued while symptomatic within the first 6 months of the study and did not return to care (n = 112), 68.8% remained symptomatic at 12 months. Lower baseline treatment expectancy and greater depression symptom severity were associated with remaining symptomatic while untreated. CONCLUSIONS Black race, lower symptom severity, and treatment modality may help identify patients at higher risk for discontinuing care while symptomatic, whereas patients with lower treatment expectations may be at greater risk for remaining out of care despite continuing symptoms.
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Affiliation(s)
- K G Saulnier
- VA Serious Mental Illness Treatment Resource and Evaluation Center, Ann Arbor, MI, USA; VA Ann Arbor Healthcare System, Ann Arbor, MI, USA; University of Michigan Medical School, Ann Arbor, MI, USA.
| | - V Panaite
- James A. Haley Veterans' Hospital, Tampa, FL, USA
| | - D Ganoczy
- VA Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, MI, USA
| | - H M Kim
- VA Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, MI, USA; University of Michigan Consulting for Statistics, Computing, and Analytics Research, Ann Arbor, MI, USA
| | - K Zivin
- University of Michigan Medical School, Ann Arbor, MI, USA; VA Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, MI, USA; School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - T Hofer
- University of Michigan Medical School, Ann Arbor, MI, USA; VA Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, MI, USA
| | - J D Piette
- University of Michigan Medical School, Ann Arbor, MI, USA; VA Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, MI, USA; School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - P N Pfeiffer
- VA Ann Arbor Healthcare System, Ann Arbor, MI, USA; University of Michigan Medical School, Ann Arbor, MI, USA; VA Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, MI, USA
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11
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Zhou Y, Zhao D, Zhu X, Liu L, Meng M, Shao X, Zhu X, Xiang J, He J, Zhao Y, Yuan Y, Gao R, Jiang L, Zhu G. Psychological interventions for the prevention of depression relapse: systematic review and network meta-analysis. Transl Psychiatry 2023; 13:300. [PMID: 37770471 PMCID: PMC10539522 DOI: 10.1038/s41398-023-02604-1] [Citation(s) in RCA: 1] [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: 03/15/2023] [Revised: 09/16/2023] [Accepted: 09/20/2023] [Indexed: 09/30/2023] Open
Abstract
Depression is highly prevalent and easily relapses. Psychological interventions are effective for the prevention of depression relapse. This systematic review and network meta-analysis aimed to compare the efficacy at the same follow-up time points of psychological interventions in depression. We searched PubMed, Embase, and PsycINFO via OVID, and the Cochrane Library published up to December 12, 2021, and PubMed up to July 1, 2022. The primary outcome was depression relapse, considering the same time points that were extracted on survival curves or relapse curves. The study protocol was registered with PROSPERO, CRD42022343327. A total of 2,871 patients were included from 25 RCTs. Mindfulness-based cognitive therapy (MBCT) was significantly better than placebo at the 3 months, the 6 months, and the 9 months at follow-up. Cognitive behavioral therapy (CBT) was significantly better than treatment as usual at the 3 months, the 9 months, the 12 months, and the 15 months at follow-up. CBT was significantly better than placebo at the 21 months and the 24 months at follow-up. Behavioral activation therapy was significantly better than placebo at the 21 months and the 24 months at follow-up. Interpersonal psychotherapy was significantly better than placebo at the 24-month follow-up. All psychological interventions included in the study were significantly better than supportive counseling most of the time. The results were robust in various sensitivity and subgroup analyses. In conclusion, MBCT had a continuous effect in preventing relapse of depression. CBT had the longest but not continuous effect in preventing relapse of depression. The effects of behavioral activation therapy and interpersonal therapy for the prevention of depression appeared late. All psychological interventions included in the study were more effective than supportive counseling. More evidence is needed from large comparative trials that provide long-term follow-up data.
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Affiliation(s)
- Yurong Zhou
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, 110001, China
| | - Defeng Zhao
- Clinical Medicine (5 + 3), China Medical University, Shenyang, 110122, China
| | - Xiaotong Zhu
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, 110001, China
- Department of Psychiatry, The Fourth Affiliated Hospital of China Medical University, Shenyang, 110001, China
| | - Lu Liu
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, 110001, China
- Department of Psychiatry, The Fourth Affiliated Hospital of China Medical University, Shenyang, 110001, China
| | - Ming Meng
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, 110001, China
- Shenyang Mental Health Center, Shenyang, 110168, China
| | - Xiaojun Shao
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, 110001, China
| | - Xueyan Zhu
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, 110001, China
| | - Jing Xiang
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, 110001, China
| | - Jiali He
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, 110001, China
| | - Yimeng Zhao
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, 110001, China
| | - Yuman Yuan
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, 110001, China
| | - Rui Gao
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, 110001, China
| | - Lin Jiang
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, 110001, China
| | - Gang Zhu
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, 110001, China.
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Marx W, Penninx BWJH, Solmi M, Furukawa TA, Firth J, Carvalho AF, Berk M. Major depressive disorder. Nat Rev Dis Primers 2023; 9:44. [PMID: 37620370 DOI: 10.1038/s41572-023-00454-1] [Citation(s) in RCA: 37] [Impact Index Per Article: 37.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/11/2023] [Indexed: 08/26/2023]
Abstract
Major depressive disorder (MDD) is characterized by persistent depressed mood, loss of interest or pleasure in previously enjoyable activities, recurrent thoughts of death, and physical and cognitive symptoms. People with MDD can have reduced quality of life owing to the disorder itself as well as related medical comorbidities, social factors, and impaired functional outcomes. MDD is a complex disorder that cannot be fully explained by any one single established biological or environmental pathway. Instead, MDD seems to be caused by a combination of genetic, environmental, psychological and biological factors. Treatment for MDD commonly involves pharmacological therapy with antidepressant medications, psychotherapy or a combination of both. In people with severe and/or treatment-resistant MDD, other biological therapies, such as electroconvulsive therapy, may also be offered.
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Affiliation(s)
- Wolfgang Marx
- Deakin University, IMPACT - the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Geelong, Victoria, Australia.
| | - Brenda W J H Penninx
- Department of Psychiatry, Amsterdam Public Health and Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit, Amsterdam, the Netherlands
| | - Marco Solmi
- Department of Psychiatry, University of Ottawa, Ottawa, Ontario, Canada
- On Track: The Champlain First Episode Psychosis Program, Department of Mental Health, The Ottawa Hospital, Ottawa, Ontario, Canada
- Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany
| | - Toshi A Furukawa
- Department of Health Promotion and Human Behavior, Kyoto University Graduate School of Medicine/School of Public Health, Kyoto, Japan
| | - Joseph Firth
- Division of Psychology and Mental Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
- Greater Manchester Mental Health NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Andre F Carvalho
- Deakin University, IMPACT - the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Geelong, Victoria, Australia
| | - Michael Berk
- Deakin University, IMPACT - the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Geelong, Victoria, Australia
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13
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Walter HJ, Abright AR, Bukstein OG, Diamond J, Keable H, Ripperger-Suhler J, Rockhill C. Clinical Practice Guideline for the Assessment and Treatment of Children and Adolescents With Major and Persistent Depressive Disorders. J Am Acad Child Adolesc Psychiatry 2023; 62:479-502. [PMID: 36273673 DOI: 10.1016/j.jaac.2022.10.001] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 10/14/2022] [Indexed: 11/21/2022]
Abstract
OBJECTIVE To enhance the quality of care and clinical outcomes for children and adolescents with major depressive disorder (MDD) and persistent depressive disorder (PDD). The aims are as follows: (1) to summarize empirically based guidance about the psychosocial and psychopharmacologic treatment of MDD and PDD in children and adolescents; and (2) to summarize expert-based guidance about the assessment of these disorders as an integral part of treatment, and the implementation of empirically based treatments for these disorders in clinical practice. METHOD Statements about the treatment of MDD and PDD are based upon empirical evidence derived from a critical systematic review of the scientific literature conducted by the Research Triangle Institute International-University of North Carolina at Chapel Hill (RTI-UNC) Evidence-based Practice Center under contract with the Agency for Healthcare Research and Quality (AHRQ). Evidence from meta-analyses published since the AHRQ/RTI-UNC review is also presented to support or refute the AHRQ findings. Guidance about the assessment and clinical implementation of treatments for MDD and PDD is informed by expert opinion and consensus as presented in previously published clinical practice guidelines, chapters in leading textbooks of child and adolescent psychiatry, the DSM-5-TR, and government-affiliated prescription drug information websites. RESULTS Psychotherapy (specifically, cognitive-behavioral and interpersonal therapies) and selective serotonin reuptake inhibitor (SSRI) medication have some rigorous (randomized controlled trials, meta-analyses) empirical support as treatment options. Because effective treatment outcomes are predicated in part upon accuracy of the diagnosis, depth of the clinical formulation, and breadth of the treatment plan, comprehensive, evidence-based assessment may enhance evidence-based treatment outcomes. CONCLUSION Disproportionate to the magnitude of the problem, there are significant limitations in the quality and quantity of rigorous empirical support for the etiology, assessment, and treatment of depression in children and adolescents. In the context of a protracted severe shortage of child and adolescent-trained behavioral health specialists, the demonstration of convenient, efficient, cost-effective, and user-friendly delivery mechanisms for safe and effective treatment of MDD and PDD is a key research need. Other research priorities include the sequencing and comparative effectiveness of depression treatments, delineation of treatment mediators and moderators, effective approaches to treatment nonresponders and disorder relapse/recurrence, long-term effects and degree of suicide risk with SSRI use, and the discovery of novel pharmacologic or interventional treatments.
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14
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Wang M, Zhang H, Zhang X, Zhao Q, Chen J, Hu C, Feng R, Liu D, Fu P, Zhang C, Cao J, Yue J, Yu H, Yang H, Liu B, Xiong W, Tong H, Zhu S, Yang Y. Effects of a online brief modified mindfulness-based stress reduction therapy for anxiety among Chinese adults: A randomized clinical trial. J Psychiatr Res 2023; 161:27-33. [PMID: 36893668 PMCID: PMC9982746 DOI: 10.1016/j.jpsychires.2023.03.009] [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: 10/29/2022] [Revised: 02/13/2023] [Accepted: 03/02/2023] [Indexed: 03/06/2023]
Abstract
The COVID-19 pandemic has exacerbated anxiety and related symptoms among the general population. In order to cope with the mental health burden, we developed an online brief modified mindfulness-based stress reduction (mMBSR) therapy. We performed a parallel-group randomized controlled trial to evaluate the efficacy of the mMBSR for adult anxiety with cognitive-behavioral therapy (CBT) as an active control. Participants were randomized to mMBSR, CBT or waitlist group. Those in the intervention arms performed each therapy for 6 sections in 3 weeks. Measurements were conducted at baseline, post-treatment and 6 months post-treatment by Generalized Anxiety Disorder-7, Patient Health Questionnaire-9, Patient Health Questionnaire-15, reverse scored Cohen Perceived Stress scale, Insomnia Severity Index, and Snaith-Hamilton Pleasure Scale. 150 participants with anxiety symptoms were randomized to mMBSR, CBT or waitlist group. Post intervention assessments showed that mMBSR improved the scores of all the six mental problem dimensions (anxiety, depression, somatization, stress, insomnia, and the experience of pleasure) significantly compared to the waitlist group. During 6-month post treatment assessment, the scores of all six mental problem dimensions in the mMBSR group still showed improvement compared to baseline and showed no significant difference with the CBT group. Our results provide positive evidence for the efficacy and feasibility of an online brief modified MBSR program to alleviate anxiety and related symptoms of individuals from the general population, and the therapeutic benefits of mMBSR persisted for up to six months. This low resource-consuming intervention could facilitate the challenges of supplying psychological health therapy to large scale of population.
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Affiliation(s)
- Minghuan Wang
- Department of Neurology and Psychiatry, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Han Zhang
- Department of Neurology and Psychiatry, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaofan Zhang
- Department of Neurology and Psychiatry, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qian Zhao
- Department of Neurology and Psychiatry, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jing Chen
- Wuhan Mental Health Center, Wuhan, China
| | - Caihong Hu
- Department of Neurology and Psychiatry, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Renjie Feng
- Department of Neurology and Psychiatry, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Denghua Liu
- Department of Neurology and Psychiatry, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Peicai Fu
- Department of Neurology and Psychiatry, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chenyan Zhang
- Department of Neurology and Psychiatry, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jie Cao
- Department of Neurology and Psychiatry, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jianrong Yue
- Department of Neurology and Psychiatry, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | | | | | - Biting Liu
- Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, China
| | - Wanting Xiong
- Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, China
| | - Huiqi Tong
- Stanford University, 211 Quarry Road, Suite 205, Palo Alto, CA, 94304, USA
| | - Suiqiang Zhu
- Department of Neurology and Psychiatry, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuan Yang
- Department of Neurology and Psychiatry, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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15
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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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16
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Yasin S, Othmani A, Raza I, Hussain SA. Machine learning based approaches for clinical and non-clinical depression recognition and depression relapse prediction using audiovisual and EEG modalities: A comprehensive review. Comput Biol Med 2023; 159:106741. [PMID: 37105109 DOI: 10.1016/j.compbiomed.2023.106741] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 02/25/2023] [Accepted: 03/02/2023] [Indexed: 03/07/2023]
Abstract
Mental disorders are rapidly increasing each year and have become a major challenge affecting the social and financial well-being of individuals. There is a need for phenotypic characterization of psychiatric disorders with biomarkers to provide a rich signature for Major Depressive Disorder, improving the understanding of the pathophysiological mechanisms underlying these mental disorders. This comprehensive review focuses on depression and relapse detection modalities such as self-questionnaires, audiovisuals, and EEG, highlighting noteworthy publications in the last ten years. The article concentrates on the literature that adopts machine learning by audiovisual and EEG signals. It also outlines preprocessing, feature extraction, and public datasets for depression detection. The review concludes with recommendations that will help improve the reliability of developed models and the determinism of computational intelligence-based systems in psychiatry. To the best of our knowledge, this survey is the first comprehensive review on depression and relapse prediction by self-questionnaires, audiovisual, and EEG-based approaches. The findings of this review will serve as a useful and structured starting point for researchers studying clinical and non-clinical depression recognition and relapse through machine learning-based approaches.
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Affiliation(s)
- Sana Yasin
- Department of Computer Science, COMSATS University Islamabad, Lahore Campus Lahore, Pakistan; Department of Computer Science, University of Okara, Okara, Pakistan.
| | - Alice Othmani
- Université Paris-Est Créteil (UPEC), LISSI, Vitry sur Seine, 94400, France.
| | - Imran Raza
- Department of Computer Science, COMSATS University Islamabad, Lahore Campus Lahore, Pakistan.
| | - Syed Asad Hussain
- Department of Computer Science, COMSATS University Islamabad, Lahore Campus Lahore, Pakistan.
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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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18
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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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19
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Bockting C, Legemaat AM, van der Stappen JGJ, Geurtsen GJ, Semkovska M, Burger H, Bergfeld IO, Lous N, Denys DAJP, Brouwer M. Augmenting neurocognitive remediation therapy to Preventive Cognitive Therapy for partially remitted depressed patients: protocol of a pragmatic multicentre randomised controlled trial. BMJ Open 2022; 12:e063407. [PMID: 35738653 PMCID: PMC9226921 DOI: 10.1136/bmjopen-2022-063407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
INTRODUCTION Major depressive disorder (MDD) affects 163 million people globally every year. Individuals who experience subsyndromal depressive symptoms during remission (ie, partial remission of MDD) are especially at risk for a return to a depressive episode within an average of 4 months. Simultaneously, partial remission of MDD is associated with work and (psycho)social impairment and a lower quality of life. Brief psychological interventions such as preventive cognitive therapy (PCT) can reduce depressive symptoms or relapse for patients in partial remission, although achieving full remission with treatment is still a clinical challenge. Treatment might be more effective if cognitive functioning of patients is targeted as well since cognitive problems are the most persisting symptom in partial remission and predict poor treatment response and worse functioning. Studies show that cognitive functioning of patients with (remitted) MDD can be improved by online neurocognitive remediation therapy (oNCRT). Augmenting oNCRT to PCT might improve treatment effects for these patients by strengthening their cognitive functioning alongside a psychological intervention. METHODS AND ANALYSIS This study will examine the effectiveness of augmenting oNCRT to PCT in a pragmatic national multicentre superiority randomised controlled trial. We will include 115 adults partially remitted from MDD with subsyndromal depressive symptoms defined as a Hamilton Depression Rating Scale score between 8 and 15. Participants will be randomly allocated to PCT with oNCRT, or PCT only. Primary outcome measure is the effect on depressive symptomatology over 1 year. Secondary outcomes include time to relapse, cognitive functioning, quality of life and healthcare costs. This first dual approach study of augmenting oNCRT to PCT might facilitate full remission in partially remitted individuals as well as prevent relapse over time. ETHICS AND DISSEMINATION Ethical approval was obtained by Academic Medical Center, Amsterdam. Outcomes will be made publicly available. TRIAL REGISTRATION NUMBER NL9582.
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Affiliation(s)
- Claudi Bockting
- Department of Psychiatry, Amsterdam UMC, location University of Amsterdam, Amsterdam, The Netherlands
- Centre for Urban Mental Health, University of Amsterdam, Amsterdam, The Netherlands
| | - Amanda M Legemaat
- Department of Psychiatry, Amsterdam UMC, location University of Amsterdam, Amsterdam, The Netherlands
| | | | - Gert J Geurtsen
- Department of Medical Psychology, Amsterdam UMC, location University of Amsterdam, Amsterdam, The Netherlands
| | - Maria Semkovska
- Department of Psychology, University of Southern Denmark, Odense, Denmark
| | - Huibert Burger
- Department of General Practice and Elderly Care Medicine, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Isidoor O Bergfeld
- Department of Psychiatry, Amsterdam UMC, location University of Amsterdam, Amsterdam, The Netherlands
- Amsterdam Brain and Cognition, University of Amsterdam, Amsterdam, The Netherlands
| | | | - Damiaan A J P Denys
- Department of Psychiatry, Amsterdam UMC, location University of Amsterdam, Amsterdam, The Netherlands
| | - Marlies Brouwer
- Department of Psychiatry, Amsterdam UMC, location University of Amsterdam, Amsterdam, The Netherlands
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20
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Schramm E, Elsaesser M, Guidi J. The Role of Psychological Interventions in the Maintenance Treatment of Depression. PSYCHOTHERAPY AND PSYCHOSOMATICS 2022; 91:212-213. [PMID: 35158364 DOI: 10.1159/000522014] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Accepted: 01/14/2022] [Indexed: 11/19/2022]
Affiliation(s)
- Elisabeth Schramm
- Department of Psychiatry and Psychotherapy, Medical Center and Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Moritz Elsaesser
- Department of Psychiatry and Psychotherapy, Medical Center and Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Jenny Guidi
- Department of Psychology "Renzo Canestrari", University of Bologna, Bologna, Italy
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21
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Abstract
ZusammenfassungErwartungseffekte bei Antidepressiva wurden in zahlreichen randomisierten Studien und Metaanalysen nachgewiesen. In den Placebogruppen zeigten sich sowohl relevante Verbesserungen der depressiven Erkrankungen (Ansprechraten: Placebo 40 % vs. Verum 50 %) als auch belastende Nebenwirkungen im Sinne von Noceboeffekten. Diese Befunde unterstreichen den Einfluss individueller Erwartungshaltungen auf die Wirksamkeit und Verträglichkeit von Antidepressiva und legen nahe, dass diese auch beim Absetzen relevant sind. Das Absetzen von Antidepressiva kann mit belastenden Beschwerden wie Schwindel, Schlaflosigkeit und Reizbarkeit verbunden sein. Diese sog. Absetzsymptome sind in der Mehrzahl der Fälle mild und klingen nach wenigen Tagen bis Wochen wieder ab. Sind Patient:innen allerdings nicht auf solche möglichen Beschwerden vorbereitet, kann deren Auftreten Ängste vor einem Rückfall oder einer Abhängigkeit auslösen. Insbesondere, wenn das Absetzen ohne ärztliche und psychologische Begleitung stattfindet, können Absetzsymptome leicht mit dem Wiederauftreten einer Depression verwechselt werden. In der aktuellen Versorgungspraxis finden sich zunehmend Berichte zu missglückten Absetzversuchen und entsprechend negativen Erwartungen an das Absetzen. Erwartungen lassen sich vornehmlich in der Interaktion mit Behandelnden und über die Patient:innen-Information verändern. Dieser Beitrag diskutiert therapeutische Strategien zum Umgang mit Absetzsymptomen mit dem Ziel, Erwartungen, angepasst an individuelle Vorerfahrungen, zu optimieren. Um realistische Erwartungen zu erarbeiten und den Absetzprozess durch eine therapeutische Begleitung positiv zu beeinflussen, können Strategien wie Psychoedukation, Framing, die Aufklärung über Placebo- und Noceboeffekte sowie die Erarbeitung von Coping-Strategien eingesetzt werden.
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22
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Yonatan-Leus R, Abargil M, Cooper-Kazaz R. The combined effect of psychodynamic psychotherapy and pharmacotherapy on healthcare cost. Psychother Res 2022; 32:874-885. [PMID: 35118912 DOI: 10.1080/10503307.2022.2032861] [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] [Indexed: 10/19/2022] Open
Abstract
OBJECTIVE Previous studies have established a connection between therapy and healthcare cost: an increase in cost prior to therapy and a maintained decrease post therapy. There is, however, a lack of studies examining the combined effects of psychotherapy and pharmacotherapy on healthcare cost. METHOD Healthcare cost was examined quarterly in 1,213 patients (28,776 observations) in a naturalistic longitudinal design. Psychotherapy only was compared to combined treatment and to an addition of psychotherapy to preexisting pharmacotherapy. The comparisons were conducted with a multilevel piecewise model (LMLM) computed for three phases: pre-, during-, and post-therapy. RESULTS Significant interactions were found between the contrast comparing preexisting pharmacotherapy to the during-psychotherapy and no-pharmacotherapy groups and the three piecewise variables. The pre-therapy increase was larger for the preexisting-pharmacotherapy group than for the other groups. The during-therapy decrease was larger for the preexisting-pharmacotherapy group than for the other groups. In the post-therapy period, the increase was significant only for the prior-psychiatric-medication group. CONCLUSIONS Preexisting psychotropic treatment along with an increase in healthcare expenditure may serve as an indication of the need for additional psychotherapy treatment.
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Affiliation(s)
- Refael Yonatan-Leus
- Department of Psychology the College of Management Academic Studies- Rishon Lezion, Israel.,Clalit Health Services - Jerusalem, Israel
| | - Maayan Abargil
- Department of Psychology, Hebrew University of Jerusalem, Israel
| | - Rena Cooper-Kazaz
- Clalit Health Services -Jerusalem. Affiliated with The Faculty of Medicine at The Hebrew University Jerusalem, Israel
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23
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de Klerk‐Sluis JM, Huijbers MJ, Löcke S, Spijker J, Spinhoven P, Speckens AEM, Ruhe HG. Factors associated with relapse and recurrence of major depressive disorder in patients starting mindfulness-based cognitive therapy. Depress Anxiety 2022; 39:113-122. [PMID: 34752681 PMCID: PMC9298927 DOI: 10.1002/da.23220] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Revised: 10/04/2021] [Accepted: 10/07/2021] [Indexed: 11/08/2022] Open
Abstract
BACKGROUND Mindfulness-based cognitive therapy (MBCT) is effective for relapse prevention in major depressive disorder (MDD). It reduces cognitive reactivity (CR) and rumination, and enhances self-compassion and mindfulness. Although rumination and mindfulness after MBCT are associated with relapse, the association of CR, rumination, self-compassion, and mindfulness with relapse before initiation of MBCT has never been investigated. METHODS Data were drawn from two randomized controlled trials, including a total of 282 remitted MDD participants (≥3 depressive episodes) who had been using maintenance antidepressant medication (mADM) for at least 6 months before baseline. All participants were offered MBCT while either their mADM was maintained or discontinued after MBCT. CR, rumination, self-compassion, and mindfulness were assessed at baseline by self-rated questionnaires and were used in Cox proportional hazards regression models to investigate their association with relapse. RESULTS CR and mindfulness were associated with relapse, independent of residual symptoms, previous depressive episodes, and mADM-use. Higher CR and lower mindfulness increased the risk of relapse. Self-compassion was not associated with relapse. For rumination, a significant interaction with mADM-use was found. Rumination was associated with relapse in patients who discontinued their mADM, while this effect was absent if patients continued mADM. CONCLUSIONS These results show that CR, rumination, and mindfulness are associated with relapse in remitted MDD-patients before initiation of MBCT, independent of residual symptoms and previous depressive episodes. This information could improve decisions in treatment planning in remitted individuals with a history of depression.
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Affiliation(s)
| | - Marloes J. Huijbers
- Radboudumc Centre for Mindfulness, Department of PsychiatryRadboud University Medical CentreNijmegenThe Netherlands
| | - Stephan Löcke
- Department of PsychiatryRadboud University Medical CentreNijmegenThe Netherlands
| | - Jan Spijker
- Expertise Center for DepressionPro PersonaNijmegenThe Netherlands,Behavioural Science InstituteRadboud UniversityNijmegenThe Netherlands
| | - Philip Spinhoven
- Institute of PsychologyLeiden UniversityLeidenThe Netherlands,Department of PsychiatryLeiden University Medical CenterLeidenThe Netherlands
| | - Anne E. M. Speckens
- Radboudumc Centre for Mindfulness, Department of PsychiatryRadboud University Medical CentreNijmegenThe Netherlands
| | - Henricus G. Ruhe
- Department of PsychiatryRadboud University Medical CentreNijmegenThe Netherlands
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24
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Horowitz M, Wilcock M. Newer generation antidepressants and withdrawal effects: reconsidering the role of antidepressants and helping patients to stop. Drug Ther Bull 2022; 60:7-12. [PMID: 34930807 DOI: 10.1136/dtb.2020.000080] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
In England, the prescribing of antidepressants, primarily the newer generation antidepressant classes, has steadily increased over recent years. There is ongoing debate about how the efficacy of these drugs is viewed, their place in therapy and the harms associated with stopping them. Much of the evidence of their efficacy comes from short-term placebo-controlled trials which tend not to include outcomes that are of greatest relevance to patients, such as social functioning or quality of life, but rather restrict outcomes narrowly to symptom measures. On such measures these studies do not demonstrate clinically significant differences from placebo for depression. A range of adverse effects are also recognised, often greater in naturalistic studies of long-term antidepressants users than those measured in short-term efficacy studies, including emotional numbing, sexual difficulties, fatigue and weight gain. There is increasing recognition that withdrawal symptoms from antidepressants are common and that these symptoms can be severe and long-lasting in some patients. Recent guidance on how to stop antidepressants in a tolerable way has been presented by the Royal College of Psychiatrists. We believe that increasing awareness about the difficulty that some patients have in stopping antidepressants should lead to more cautious prescribing practice, with antidepressants given to fewer patients and for shorter periods of time. This article discusses the perceived benefits and harms of antidepressant use.
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Affiliation(s)
- Mark Horowitz
- Division of Psychiatry, University College London, London, UK
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25
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A Patient Stratification Approach to Identifying the Likelihood of Continued Chronic Depression and Relapse Following Treatment for Depression. J Pers Med 2021; 11:jpm11121295. [PMID: 34945767 PMCID: PMC8703621 DOI: 10.3390/jpm11121295] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 11/15/2021] [Accepted: 11/17/2021] [Indexed: 01/26/2023] Open
Abstract
Background: Subgrouping methods have the potential to support treatment decision making for patients with depression. Such approaches have not been used to study the continued course of depression or likelihood of relapse following treatment. Method: Data from individual participants of seven randomised controlled trials were analysed. Latent profile analysis was used to identify subgroups based on baseline characteristics. Associations between profiles and odds of both continued chronic depression and relapse up to one year post-treatment were explored. Differences in outcomes were investigated within profiles for those treated with antidepressants, psychological therapy, and usual care. Results: Seven profiles were identified; profiles with higher symptom severity and long durations of both anxiety and depression at baseline were at higher risk of relapse and of chronic depression. Members of profile five (likely long durations of depression and anxiety, moderately-severe symptoms, and past antidepressant use) appeared to have better outcomes with psychological therapies: antidepressants vs. psychological therapies (OR (95% CI) for relapse = 2.92 (1.24–6.87), chronic course = 2.27 (1.27–4.06)) and usual care vs. psychological therapies (relapse = 2.51 (1.16–5.40), chronic course = 1.98 (1.16–3.37)). Conclusions: Profiles at greater risk of poor outcomes could benefit from more intensive treatment and frequent monitoring. Patients in profile five may benefit more from psychological therapies than other treatments.
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26
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Furukawa TA, Shinohara K, Sahker E, Karyotaki E, Miguel C, Ciharova M, Bockting CLH, Breedvelt JJF, Tajika A, Imai H, Ostinelli EG, Sakata M, Toyomoto R, Kishimoto S, Ito M, Furukawa Y, Cipriani A, Hollon SD, Cuijpers P. Initial treatment choices to achieve sustained response in major depression: a systematic review and network meta-analysis. World Psychiatry 2021; 20:387-396. [PMID: 34505365 PMCID: PMC8429344 DOI: 10.1002/wps.20906] [Citation(s) in RCA: 56] [Impact Index Per Article: 18.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Major depression is often a relapsing disorder. It is therefore important to start its treatment with therapies that maximize the chance of not only getting the patients well but also keeping them well. We examined the associations between initial treatments and sustained response by conducting a network meta-analysis of randomized controlled trials (RCTs) in which adult patients with major depression were randomized to acute treatment with a psychotherapy (PSY), a protocolized antidepressant pharmacotherapy (PHA), their combination (COM), standard treatment in primary or secondary care (STD), or pill placebo, and were then followed up through a maintenance phase. By design, acute phase treatment could be continued into the maintenance phase, switched to another treatment or followed by discretionary treatment. We included 81 RCTs, with 13,722 participants. Sustained response was defined as responding to the acute treatment and subsequently having no depressive relapse through the maintenance phase (mean duration: 42.2±16.2 weeks, range 24-104 weeks). We extracted the data reported at the time point closest to 12 months. COM resulted in more sustained response than PHA, both when these treatments were continued into the maintenance phase (OR=2.52, 95% CI: 1.66-3.85) and when they were followed by discretionary treatment (OR=1.80, 95% CI: 1.21-2.67). The same applied to COM in comparison with STD (OR=2.90, 95% CI: 1.68-5.01 when COM was continued into the maintenance phase; OR=1.97, 95% CI: 1.51-2.58 when COM was followed by discretionary treatment). PSY also kept the patients well more often than PHA, both when these treatments were continued into the maintenance phase (OR=1.53, 95% CI: 1.00-2.35) and when they were followed by discretionary treatment (OR=1.66, 95% CI: 1.13-2.44). The same applied to PSY compared with STD (OR=1.76, 95% CI: 0.97-3.21 when PSY was continued into the maintenance phase; OR=1.83, 95% CI: 1.20-2.78 when PSY was followed by discretionary treatment). Given the average sustained response rate of 29% on STD, the advantages of PSY or COM over PHA or STD translated into risk differences ranging from 12 to 16 percentage points. We conclude that PSY and COM have more enduring effects than PHA. Clinical guidelines on the initial treatment choice for depression may need to be updated accordingly.
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Affiliation(s)
- Toshi A Furukawa
- Department of Health Promotion and Human Behavior, Kyoto University Graduate School of Medicine / School of Public Health, Kyoto, Japan
| | - Kiyomi Shinohara
- Department of Health Promotion and Human Behavior, Kyoto University Graduate School of Medicine / School of Public Health, Kyoto, Japan
| | - Ethan Sahker
- Department of Health Promotion and Human Behavior, Kyoto University Graduate School of Medicine / School of Public Health, Kyoto, Japan
| | - Eirini Karyotaki
- Department of Clinical, Neuro- and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, The Netherlands
| | - Clara Miguel
- Department of Clinical, Neuro- and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, The Netherlands
| | - Marketa Ciharova
- Department of Clinical, Neuro- and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, The Netherlands
| | - Claudi L H Bockting
- Department of Psychiatry & Centre for Urban Mental Health, University of Amsterdam, Amsterdam, The Netherlands
| | - Josefien J F Breedvelt
- Department of Psychiatry & Centre for Urban Mental Health, University of Amsterdam, Amsterdam, The Netherlands
| | - Aran Tajika
- Department of Health Promotion and Human Behavior, Kyoto University Graduate School of Medicine / School of Public Health, Kyoto, Japan
| | - Hissei Imai
- Department of Health Promotion and Human Behavior, Kyoto University Graduate School of Medicine / School of Public Health, Kyoto, Japan
| | - Edoardo G Ostinelli
- Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford, UK
- Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, UK
| | - Masatsugu Sakata
- Department of Health Promotion and Human Behavior, Kyoto University Graduate School of Medicine / School of Public Health, Kyoto, Japan
| | - Rie Toyomoto
- Department of Health Promotion and Human Behavior, Kyoto University Graduate School of Medicine / School of Public Health, Kyoto, Japan
| | - Sanae Kishimoto
- Department of Health Promotion and Human Behavior, Kyoto University Graduate School of Medicine / School of Public Health, Kyoto, Japan
| | - Masami Ito
- Department of Health Promotion and Human Behavior, Kyoto University Graduate School of Medicine / School of Public Health, Kyoto, Japan
| | - Yuki Furukawa
- Department of Neuropsychiatry, University of Tokyo Hospital, Tokyo, Japan
| | - Andrea Cipriani
- Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford, UK
- Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, UK
| | - Steven D Hollon
- Department of Psychology, Vanderbilt University, Nashville, TN, USA
| | - Pim Cuijpers
- Department of Clinical, Neuro- and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, The Netherlands
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27
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Tracy DK, Joyce DW, Albertson DN, Shergill SS. Kaleidoscope. Br J Psychiatry 2021; 219:573-574. [PMID: 35048883 DOI: 10.1192/bjp.2021.125] [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: 11/23/2022]
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