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Johnson CF, Maxwell M, Williams B, Dougall N, MacGillivray S. Dose-response effects of selective serotonin reuptake inhibitor monotherapy for the treatment of depression: systematic review of reviews and meta-narrative synthesis. BMJ MEDICINE 2022; 1:e000017. [PMID: 36936596 PMCID: PMC9978765 DOI: 10.1136/bmjmed-2021-000017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Accepted: 10/05/2022] [Indexed: 12/04/2022]
Abstract
Objective To assess and clarify the relations between selective serotonin reuptake inhibitor (SSRI) dose efficacy, acceptability (early treatment discontinuation (dropouts)), and tolerability (reported adverse drug effects), and critically evaluate methods previously used to examine SSRI dose-response effects for the treatment of depression in adults. Design Systematic review of reviews and meta-narrative synthesis. Data sources Embase, Medline, PsycINFO, Scopus, and the Cochrane Collaboration library, from 1975 to December 2021. Reference lists of national depression treatment guidelines were systemically searched by hand. Eligibility criteria for selecting studies Reviews assessing SSRI monotherapy dose-response effects for the treatment of depression in adults (age ≥18 years) reporting efficacy, acceptability, or tolerability. Reviews meeting inclusion criteria had a high degree of heterogeneity, due to methodological diversity; therefore, a meta-narrative synthesis approach was applied. Standard daily doses were defined as 20 mg citalopram, fluoxetine, paroxetine; 50 mg sertraline; and 10 mg escitalopram. Risk of bias was assessed using the Risk of Bias in Systematic Reviews tool, in line with Cochrane recommendations. Results The search identified 9138 records; 387 full text reports were assessed for eligibility, 42 of which matched the inclusion criteria. The majority, 83% (n=35), of reviews included data for studies with a duration of ≤12 weeks (ie, the acute phase of depression treatment). Of 39 reviews assessing efficacy, the majority (n=26) indicated that individual SSRIs and SSRI class demonstrated flat dose-response effects; standard doses were optimal for efficacy. Acceptability or tolerability were assessed in 28 reviews. Higher than standard daily doses were associated with higher dropout rates and a greater incidence of adverse drug effects (eg, nausea, sexual dysfunction, fatigue, anxiety). Despite a range of methods being reported, there was an overall consensus regarding SSRI dose related efficacy, dropouts, and adverse drug effects. Conclusion Standard daily doses of SSRIs for the treatment of depression in adults provide a favourable balance between efficacy, acceptability, and tolerability. Patients are encouraged to talk to their prescriber or community pharmacist if they experience adverse effects or have any concerns about their drug treatments.
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Affiliation(s)
- Chris F Johnson
- Pharmacy Services, NHS Greater Glasgow and Clyde, Glasgow, UK
| | - Margaret Maxwell
- Midwifery and AHP Research Unit, University of Stirling, Stirling, UK
| | - Brian Williams
- School of Health and Social Care, Edinburgh Napier University, Edinburgh, UK
| | - Nadine Dougall
- School of Health and Social Care, Edinburgh Napier University, Edinburgh, UK
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Fugger G, Bartova L, Fabbri C, Fanelli G, Zanardi R, Dold M, Kautzky A, Rujescu D, Souery D, Mendlewicz J, Zohar J, Montgomery S, Serretti A, Kasper S. The sociodemographic and clinical phenotype of European patients with major depressive disorder undergoing first-line antidepressant treatment with NaSSAs. J Affect Disord 2022; 312:225-234. [PMID: 35691416 DOI: 10.1016/j.jad.2022.06.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2021] [Revised: 05/27/2022] [Accepted: 06/06/2022] [Indexed: 01/14/2023]
Affiliation(s)
- Gernot Fugger
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria; Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy
| | - Lucie Bartova
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria; Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy
| | - Chiara Fabbri
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy; Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Giuseppe Fanelli
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy; Department of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands
| | - Raffaella Zanardi
- Vita-Salute San Raffaele University, Milano, Italy; Mood Disorders Unit, IRCCS Scientific Institute Ospedale San Raffaele, Milano, Italy
| | - Markus Dold
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria; Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy
| | - Alexander Kautzky
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Dan Rujescu
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Daniel Souery
- School of Medicine, Free University of Brussels, Brussels, Belgium; Psy Pluriel - European Centre of Psychological Medicine, Brussels, Belgium
| | | | - Joseph Zohar
- Psychiatric Division, Chaim Sheba Medical Center, Tel Hashomer, Israel
| | - Stuart Montgomery
- Imperial College School of Medicine, University of London, London, United Kingdom
| | - Alessandro Serretti
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy
| | - Siegfried Kasper
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria; Center for Brain Research, Medical University of Vienna, Vienna, Austria.
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Rink L, Adams A, Braun C, Bschor T, Kuhr K, Baethge C. Dose-Response Relationship in Selective Serotonin and Norepinephrine Reuptake Inhibitors in the Treatment of Major Depressive Disorder: A Meta-Analysis and Network Meta-Analysis of Randomized Controlled Trials. PSYCHOTHERAPY AND PSYCHOSOMATICS 2022; 91:84-93. [PMID: 34965534 DOI: 10.1159/000520554] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 10/25/2021] [Indexed: 11/19/2022]
Abstract
INTRODUCTION Selective serotonin and norepinephrine reuptake inhibitors (SNRI) are among the most prescribed antidepressants, and dose escalation is a frequently applied strategy after non-response to an initially prescribed dose. OBJECTIVE This meta-analysis aimed to find evidence of a dose-response relationship or to the contrary in direct comparisons of different SNRI doses in patients with major depressive disorder. METHODS A systematic literature search for RCTs comparing at least two doses of SNRIs was carried out in CENTRAL, PubMed, PsycINFO, and EMBASE. Doses were classified as high, medium, and low according to manufacturers' product monographs and analyses at the level of SNRIs as a group and for single substances, accompanied by sensitivity network meta-analyses (Prospero CRD42018081031). RESULTS From 2,070 studies screened, we included 26 studies with a total of 10,242 patients. Comparisons of medium versus low and high versus medium doses resulted in clinically and statistically non-significant standardized mean differences of -0.06 (-0.16 to 0.04) and -0.06 (-0.16 to 0.03) in favor of higher doses. In the analyses of single substances, no statistically significant results emerged, and many contrasts yielded very small effect sizes. Dropouts due to side effects tended to be more frequent with higher doses. Heterogeneity was low. Network meta-analyses of direct comparisons supported the findings, as did a risk of bias analysis. CONCLUSION Based on the lack of positive evidence for a dose-response relationship in SNRIs as a group and in single SNRIs, we recommend prescribing medium doses. In case of insufficient response, we do not recommend increasing the dose of SNRIs.
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Affiliation(s)
- Lena Rink
- Department of Psychiatry and Psychotherapy, Faculty of Medicine, University of Cologne, Cologne, Germany, .,Red Cross Children's Hospital Siegen, Siegen, Germany,
| | - Anne Adams
- Institute of Medical Statistics and Computational Biology, Faculty of Medicine, University of Cologne, Cologne, Germany
| | - Cora Braun
- Department of Psychiatry and Psychotherapy, Faculty of Medicine, University of Cologne, Cologne, Germany
| | - Tom Bschor
- Department of Psychiatry and Psychotherapy, Technical University of Dresden, Dresden, Germany
| | - Kathrin Kuhr
- Institute of Medical Statistics and Computational Biology, Faculty of Medicine, University of Cologne, Cologne, Germany
| | - Christopher Baethge
- Department of Psychiatry and Psychotherapy, Faculty of Medicine, University of Cologne, Cologne, Germany
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Herrman H, Patel V, Kieling C, Berk M, Buchweitz C, Cuijpers P, Furukawa TA, Kessler RC, Kohrt BA, Maj M, McGorry P, Reynolds CF, Weissman MM, Chibanda D, Dowrick C, Howard LM, Hoven CW, Knapp M, Mayberg HS, Penninx BWJH, Xiao S, Trivedi M, Uher R, Vijayakumar L, Wolpert M. Time for united action on depression: a Lancet-World Psychiatric Association Commission. Lancet 2022; 399:957-1022. [PMID: 35180424 DOI: 10.1016/s0140-6736(21)02141-3] [Citation(s) in RCA: 318] [Impact Index Per Article: 159.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2020] [Revised: 09/15/2021] [Accepted: 09/21/2021] [Indexed: 12/12/2022]
Affiliation(s)
- Helen Herrman
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, VIC, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia.
| | - Vikram Patel
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA; Sangath, Goa, India; Department of Global Health and Population, Harvard T H Chan School of Public Health, Boston, MA, USA
| | - Christian Kieling
- Department of Psychiatry, School of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil; Child & Adolescent Psychiatry Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Michael Berk
- Deakin University, IMPACT Institute, Geelong, VIC, Australia
| | - Claudia Buchweitz
- Graduate Program in Psychiatry, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Pim Cuijpers
- Department of Clinical, Neuro and Developmental Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Toshiaki A Furukawa
- Department of Health Promotion and Human Behavior, Kyoto University Graduate School of Medicine/School of Public Health, Kyoto, Japan
| | - Ronald C Kessler
- Department of Health Care Policy, Harvard Medical School, Boston, MA, USA
| | - Brandon A Kohrt
- Department of Psychiatry and Behavioral Sciences, George Washington University, Washington, DC, USA
| | - Mario Maj
- Department of Psychiatry, University of Campania L Vanvitelli, Naples, Italy
| | - Patrick McGorry
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, VIC, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Charles F Reynolds
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Myrna M Weissman
- Columbia University Mailman School of Public Health, New York, NY, USA; Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA; New York State Psychiatric Institute, New York, NY, USA
| | - Dixon Chibanda
- Department of Psychiatry, University of Zimbabwe, Harare, Zimbabwe; Centre for Global Mental Health, The London School of Hygiene and Tropical Medicine, London, UK
| | - Christopher Dowrick
- Department of Primary Care and Mental Health, University of Liverpool, Liverpool, UK
| | - Louise M Howard
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Christina W Hoven
- Columbia University Mailman School of Public Health, New York, NY, USA; Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA; New York State Psychiatric Institute, New York, NY, USA
| | - Martin Knapp
- Care Policy and Evaluation Centre, London School of Economics and Political Science, London, UK
| | - Helen S Mayberg
- Departments of Neurology, Neurosurgery, Psychiatry and Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Brenda W J H Penninx
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Shuiyuan Xiao
- Central South University Xiangya School of Public Health, Changsha, China
| | - Madhukar Trivedi
- Peter O'Donnell Jr Brain Institute and the Department of Psychiatry, The University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Rudolf Uher
- Department of Psychiatry, Dalhousie University, Halifax, Canada
| | - Lakshmi Vijayakumar
- Sneha, Suicide Prevention Centre and Voluntary Health Services, Chennai, India
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Fugger G, Bartova L, Dold M, Fabbri C, Fanelli G, Zanardi R, Kautzky A, Zohar J, Souery D, Mendlewicz J, Montgomery S, Rujescu D, Serretti A, Kasper S. Evidence on sociodemographic and clinical correlates of antidepressant combination or augmentation with second-generation antipsychotics in major depressive disorder. Prog Neuropsychopharmacol Biol Psychiatry 2022; 114:110480. [PMID: 34826558 DOI: 10.1016/j.pnpbp.2021.110480] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 11/04/2021] [Accepted: 11/21/2021] [Indexed: 11/25/2022]
Abstract
About two thirds of the patients with major depressive disorder (MDD) do not sufficiently respond to monotherapy with antidepressants (ADs) which makes them reliant on further treatment approaches. Hereby, combination of different ADs and augmentation with second-generation antipsychotics (SGAs) are widely used and recommended psychopharmacotherapeutic strategies. The present secondary analyses are based on an international, naturalistic, cross-sectional multicenter study conducted by the European Group for the Study of Resistant Depression. Comparing socio-demographic and clinical characteristics of 436 adult MDD patients receiving either SGAs (N = 191, 43.8%) or ADs (N = 245, 56.2%), that were additionally administered to their first-line AD psychopharmacotherapy, we aimed to identify possible trajectories of decision-making for clinicians regarding which treatment option to prefer in individual patients. Our most robust findings represent an association of SGA augmentation with the presence of psychotic symptoms, longer mean duration of lifetime psychiatric hospitalizations, employment of further augmentation strategies with mood-stabilizers and benzodiazepines, and a trend towards higher mean daily dosages of their first-line ADs and current suicidal risk. Treatment outcome was not significantly different between patients receiving either SGA augmentation or AD combination. Being aware of limitations inherent to the cross-sectional study design and the lack of randomization, more severe and rather chronic conditions in MDD seemed to encourage clinicians to choose SGA augmentation over AD combination. The fact that mood-stabilizers and/or benzodiazepines were more frequently co-administered with SGAs may represent a requirement of an overall refined psychopharmacotherapy including additional fast-acting agents with potent AD, tranquilizing and anti-suicidal effects in MDD patients experiencing challenging clinical manifestations. New glutamatergic substances seem to be promising in this regard.
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Affiliation(s)
- Gernot Fugger
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria; Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy
| | - Lucie Bartova
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria; Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy
| | - Markus Dold
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria; Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy
| | - Chiara Fabbri
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy; Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Giuseppe Fanelli
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy; Department of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands
| | - Raffaella Zanardi
- Vita-Salute San Raffaele University, Milano, Italy; Mood Disorders Unit, IRCCS Scientific Institute Ospedale San Raffaele, Milano, Italy
| | - Alexander Kautzky
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Joseph Zohar
- Psychiatric Division, Chaim Sheba Medical Center, Tel Hashomer, Israel
| | - Daniel Souery
- School of Medicine, Free University of Brussels, Brussels, Belgium; Psy Pluriel - European Centre of Psychological Medicine, Brussels, Belgium
| | | | - Stuart Montgomery
- Imperial College School of Medicine, University of London, London, United Kingdom
| | - Dan Rujescu
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Alessandro Serretti
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy
| | - Siegfried Kasper
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria; Center for Brain Research, Medical University of Vienna, Vienna, Austria.
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Dold M, Bartova L, Fugger G, Mitschek MM, Fabbri C, Serretti A, Mendlewicz J, Souery D, Zohar J, Montgomery S, Kasper S. Pregabalin augmentation of antidepressants in major depression - results from a European multicenter study. J Affect Disord 2022; 296:485-492. [PMID: 34653701 DOI: 10.1016/j.jad.2021.09.063] [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: 07/19/2021] [Revised: 09/12/2021] [Accepted: 09/21/2021] [Indexed: 11/17/2022]
Abstract
BACKGROUND We aimed to investigate the prescription pattern of pregabalin augmentation of antidepressants in major depressive disorder (MDD) and to explore variables associated with add-on pregabalin treatment. METHODS 1410 MDD patients participated in this naturalistic European multicenter study with retrospective assessment of treatment response. Analyses of covariance, chi-squared tests, and binary logistic regressions were accomplished to determine differences in socio-demographic and clinical characteristics between MDD patients with and without pregabalin augmentation. RESULTS Add-on pregabalin was established in 102 (7.23%) MDD patients. Compared to those without receiving pregabalin, pregabalin-treated patients were characterized by a significantly higher likelihood for older age (mean: 54.74 ± 13.08 vs 49.93 ± 14.13 years), unemployment (78.43% vs 51.23%), melancholic features (83.33% vs 58.94%), inpatient treatment (72.55% vs 31.65%), previous psychiatric hospitalizations (13.52 ± 24.82 vs 4.96 ± 19.93 weeks), any somatic comorbidity (68.63% vs 44.57%), comorbid hypertension (37.25% vs 17.51%), more severe depressive symptom severity at the onset of the current episode (mean MADRS: 37.55 ± 9.00 vs 33.79 ± 7.52), receiving augmentation/combination treatment strategies in general (mean number of psychotropic drugs: 3.64 ± 0.92 vs 2.07 ± 1.17), and with antidepressants (50.00% vs 27.91%) and antipsychotics (46.08% vs 24.08%) in particular. LIMITATIONS Due to its observational cross-sectional study design, our patient sample might not be fully representative for MDD patients in primary care settings. CONCLUSIONS Our findings suggest that add-on pregabalin is particularly administered in more severe/difficult-to-treat MDD conditions, whereas no association between the prescription of adjunctive pregabalin and comorbid anxiety symptoms could be determined.
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Affiliation(s)
- Markus Dold
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria.
| | - Lucie Bartova
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Gernot Fugger
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Marleen Mm Mitschek
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Chiara Fabbri
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy; Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Alessandro Serretti
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy
| | | | - Daniel Souery
- School of Medicine, Free University of Brussels, Brussels, Belgium; Psy Pluriel - European Centre of Psychological Medicine, Brussels, Belgium
| | - Joseph Zohar
- Psychiatric Division, Chaim Sheba Medical Center, Tel Hashomer, Israel
| | | | - Siegfried Kasper
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria; Center for Brain Research, Medical University of Vienna, Spitalgasse 23, Vienna A-1090, Austria.
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Bartova L, Dold M, Fugger G, Kautzky A, Mitschek MMM, Weidenauer A, Hienert MG, Frey R, Mandelli L, Zohar J, Mendlewicz J, Souery D, Montgomery S, Fabbri C, Serretti A, Kasper S. Sex-related effects in major depressive disorder: Results of the European Group for the Study of Resistant Depression. Depress Anxiety 2021; 38:896-906. [PMID: 34110066 PMCID: PMC8453858 DOI: 10.1002/da.23165] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 02/19/2021] [Accepted: 04/19/2021] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND Sex-related effects on the evolution and phenotype of major depressive disorder (MDD) were reported previously. METHODS This European multicenter cross-sectional study compared sociodemographic, clinical, and treatment patterns between males and females in a real-world sample of 1410 in- and outpatients with current MDD. RESULTS Male MDD patients (33.1%) were rather inpatients, suffered from moderate to high suicidality levels, received noradrenergic and specific serotonergic antidepressants (ADs) as first-line AD treatment, generally higher mean AD daily doses, and showed a trend towards a more frequent administration of add-on treatments. Female MDD patients (66.9%) were rather outpatients, experienced lower suicidality levels, comorbid thyroid dysfunction, migraine, asthma, and a trend towards earlier disease onset. CONCLUSIONS The identified divergencies may contribute to the concept of male and female depressive syndromes and serve as predictors of disease severity and course, as they reflect phenomena that were repeatedly related to treatment-resistant depression (TRD). Especially the greater necessity of inpatient treatment and more complex psychopharmacotherapy in men may reflect increased therapeutic efforts undertaken to treat suicidality and to avoid TRD. Hence, considering sex may guide the diagnostic and treatment processes towards targeting challenging clinical manifestations including comorbidities and suicidality, and prevention of TRD and chronicity.
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Affiliation(s)
- Lucie Bartova
- Department of Psychiatry and PsychotherapyMedical University of ViennaViennaAustria
| | - Markus Dold
- Department of Psychiatry and PsychotherapyMedical University of ViennaViennaAustria
| | - Gernot Fugger
- Department of Psychiatry and PsychotherapyMedical University of ViennaViennaAustria
| | - Alexander Kautzky
- Department of Psychiatry and PsychotherapyMedical University of ViennaViennaAustria
| | | | - Ana Weidenauer
- Department of Psychiatry and PsychotherapyMedical University of ViennaViennaAustria
| | - Marius G. Hienert
- Department of Psychiatry and PsychotherapyMedical University of ViennaViennaAustria
| | - Richard Frey
- Department of Psychiatry and PsychotherapyMedical University of ViennaViennaAustria
| | - Laura Mandelli
- Department of Biomedical and NeuroMotor SciencesUniversity of BolognaBolognaItaly
| | - Joseph Zohar
- Psychiatric DivisionChaim Sheba Medical CenterTel HashomerIsrael
| | | | - Daniel Souery
- School of MedicineFree University of BrusselsBrusselsBelgium,Psy Pluriel ‐ European Centre of Psychological MedicineBrusselsBelgium
| | - Stuart Montgomery
- Imperial College School of MedicineUniversity of LondonLondonUnited Kingdom
| | - Chiara Fabbri
- Department of Biomedical and NeuroMotor SciencesUniversity of BolognaBolognaItaly,Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and NeuroscienceKing's College LondonLondonUnited Kingdom
| | - Alessandro Serretti
- Department of Biomedical and NeuroMotor SciencesUniversity of BolognaBolognaItaly
| | - Siegfried Kasper
- Department of Psychiatry and PsychotherapyMedical University of ViennaViennaAustria,Center for Brain ResearchMedical University of ViennaViennaAustria
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8
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Bartova L, Fugger G, Dold M, Swoboda MMM, Zohar J, Mendlewicz J, Souery D, Montgomery S, Fabbri C, Serretti A, Kasper S. Combining psychopharmacotherapy and psychotherapy is not associated with better treatment outcome in major depressive disorder - evidence from the European Group for the Study of Resistant Depression. J Psychiatr Res 2021; 141:167-175. [PMID: 34216945 DOI: 10.1016/j.jpsychires.2021.06.028] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 05/08/2021] [Accepted: 06/14/2021] [Indexed: 10/21/2022]
Abstract
Despite plenty of effective antidepressant (AD) treatments, the outcome of major depressive disorder (MDD) is often unsatisfactory, probably due to improvable exploitation of available therapies. This European, cross-sectional, naturalistic multicenter study investigated the frequency of additional psychotherapy in terms of a manual-driven psychotherapy (MDP) in 1410 adult in- and outpatients with MDD, who were primarily treated with AD psychopharmacotherapy. Socio-demographic and clinical patterns were compared between patients receiving both treatments and those lacking concomitant MDP. In a total of 1279 MDD patients (90.7%) with known status of additional MDP, those undergoing a psychopharmacotherapy-MDP combination (31.2%) were younger, higher educated, more often employed and less severely ill with lower odds for suicidality as compared to patients receiving exclusively psychopharmacotherapy (68.8%). They experienced an earlier mean age of MDD onset, melancholic features, comorbid asthma and migraine and received lower daily doses of their first-line ADs. While agomelatine was more often established in these patients, MDD patients without MDP received selective serotonin reuptake inhibitors more frequently. These two patient groups did not differ in terms of response, non-response and treatment resistant depression (TRD). Accordingly, the employment of additional MDP could not be related to better treatment outcomes in MDD. The fact that MDP was applied in a minority of patients with rather beneficial socio-demographic and clinical characteristics might reflect inferior accessibility of these psychotherapeutic techniques for socially and economically disadvantaged populations.
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Affiliation(s)
- Lucie Bartova
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria; Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy
| | - Gernot Fugger
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria; Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy
| | - Markus Dold
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria
| | | | - Joseph Zohar
- Psychiatric Division, Chaim Sheba Medical Center, Tel Hashomer, Israel
| | | | - Daniel Souery
- School of Medicine, Free University of Brussels, Brussels, Belgium; Psy Pluriel - European Centre of Psychological Medicine, Brussels, Belgium
| | - Stuart Montgomery
- Imperial College School of Medicine, University of London, London, United Kingdom
| | - Chiara Fabbri
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy; Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom
| | - Alessandro Serretti
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy
| | - Siegfried Kasper
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria; Center for Brain Research, Medical University of Vienna, Vienna, Austria.
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9
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Terao T. Neglected but not negligible aspects of antidepressants and their availability in bipolar depression. Brain Behav 2021; 11:e2308. [PMID: 34327873 PMCID: PMC8413745 DOI: 10.1002/brb3.2308] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 05/06/2021] [Accepted: 07/12/2021] [Indexed: 01/19/2023] Open
Abstract
OBJECTIVES Although many antidepressants are available, they are not always used appropriately. For appropriate use of antidepressants, the old concept of a linear dose-response relationship, in which the dose is linearly increased to achieve a sufficient antidepressant effect, should be reconsidered. Furthermore, there is ongoing debate on the safe and appropriate use of antidepressants in patients with bipolar depression. Antidepressants may be used under certain conditions in patients with bipolar depression. These neglected-but not negligible-aspects of antidepressants have been discussed herein. METHODS A narrative qualitative review RESULTS: Dose-response relationships of antidepressants such as selective serotonin reuptake inhibitors (SSRIs) are not linear. They may be bell-shaped, with efficacy initially increasing with an increase in dose but decreasing when the dose is increased beyond a certain point. Despite using international diagnostic criteria, uncertainty remains on whether operationally diagnosed depression is latent bipolar I depression, latent bipolar II depression, or true depression. Furthermore, operationally diagnosed bipolar II depression may be latent bipolar I depression, true bipolar II depression, or depression with false hypomanic episodes. Manic/hypomanic switches are most likely to occur in patients receiving tricyclic antidepressants, followed by those receiving serotonin and noradrenaline reuptake inhibitors and SSRIs, in that order. Also, these switches are most likely to occur in patients with bipolar I depression, followed by those with bipolar II depression and true depression, in that order. CONCLUSIONS Considering the diagnostic subtype of bipolar depression and antidepressant properties may help to determine the optimal treatment strategy.
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Affiliation(s)
- Takeshi Terao
- Department of Neuropsychiatry, Oita University Faculty of Medicine, Yufu, Oita, Japan
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10
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Fava GA, Cosci F, Guidi J, Rafanelli C. The Deceptive Manifestations of Treatment Resistance in Depression: A New Look at the Problem. PSYCHOTHERAPY AND PSYCHOSOMATICS 2021; 89:265-273. [PMID: 32325457 DOI: 10.1159/000507227] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Accepted: 03/11/2020] [Indexed: 11/19/2022]
Affiliation(s)
- Giovanni A Fava
- Department of Psychiatry, University at Buffalo, State University of New York, Buffalo, New York, USA
| | - Fiammetta Cosci
- Department of Health Sciences, University of Florence, Florence, Italy
| | - Jenny Guidi
- Department of Psychology, University of Bologna, Bologna, Italy
| | - Chiara Rafanelli
- Department of Psychology, University of Bologna, Bologna, Italy,
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11
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An Z, Wang X, Li P, He J, Liu L. Exploring the metabolic characteristics and pharmacokinetic variation of paroxetine in healthy volunteers using a pharmacometabonomic approach. J Pharm Biomed Anal 2021; 204:114224. [PMID: 34265484 DOI: 10.1016/j.jpba.2021.114224] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Revised: 06/17/2021] [Accepted: 06/19/2021] [Indexed: 01/07/2023]
Abstract
The pharmacokinetic parameters of paroxetine vary between individuals, leading to differences in efficacy. The focus of our research was to predict responses to paroxetine using a pharmacometabonomic approach combining metabolic phenotypes and pharmacokinetic parameters. The pharmacokinetics of 12 healthy volunteers treated with paroxetine over two cycles was determined using high-performance liquid chromatography tandem mass spectrometry. Metabolic profiling and phenotyping were performed on the blood samples that remained after pharmacokinetic studies, using ultra-high-performance liquid chromatography coupled with high-resolution mass spectrometry. Thirty-nine metabolites (p < 0.05) increased or decreased after treatment with paroxetine. Vitamin B6 metabolism; valine, leucine, and isoleucine biosynthesis; phenylalanine metabolism; pantothenate and coenzyme A biosynthesis; tyrosine metabolism; and glyoxylate and dicarboxylate metabolism were likely to be relevant for the effects of paroxetine. The two-stage partial least squares (PLS) strategy was used to screen potential biomarkers and predict the pharmacokinetic parameters of paroxetine. An orthogonal PLS discriminant analysis strategy was then applied to separate the high- and low-value groups based on the screened biomarkers. Pearson correlation test and receiver operating characteristic curve analysis confirmed the key prediction biomarkers. Seven common biomarkers were able to predict both the area under the curve (AUC) and the maximum concentration (Cmax): cortisone, l-tyrosine, phenylpyruvate, l-valine, 2-oxoglutarate, l-lactate, and glycerate. Furthermore, homoprotocatechuate and l-glutamate were unique biomarkers for AUC, and citicoline and fumarate were unique biomarkers for Cmax. The selected biomarkers were able to predict the AUC and Cmax and discriminate good responders from poor responders to paroxetine treatment. This trial was registered with http://www.chinadrugtrials.org.cn/ (no. CTR20171590).
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Affiliation(s)
- Zhuoling An
- Pharmacy Department of Beijing Chao-Yang Hospital, Capital Medical University, Beijing, 100020, PR China
| | - Xiangyi Wang
- State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100050, PR China
| | - Pengfei Li
- Pharmacy Department of Beijing Chao-Yang Hospital, Capital Medical University, Beijing, 100020, PR China
| | - Jiuming He
- State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100050, PR China.
| | - Lihong Liu
- Pharmacy Department of Beijing Chao-Yang Hospital, Capital Medical University, Beijing, 100020, PR China.
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12
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Terao T. Dampening antidepressant effects via 5-HT 1A auto-receptors. Acta Psychiatr Scand 2021; 143:94-95. [PMID: 33067855 DOI: 10.1111/acps.13244] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Accepted: 10/12/2020] [Indexed: 01/16/2023]
Affiliation(s)
- Takeshi Terao
- Department of Neuropsychiatry, Oita University Faculty of Medicine, Oita, Japan
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13
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Braun C, Adams A, Rink L, Bschor T, Kuhr K, Baethge C. In search of a dose-response relationship in SSRIs-a systematic review, meta-analysis, and network meta-analysis. Acta Psychiatr Scand 2020; 142:430-442. [PMID: 32970827 DOI: 10.1111/acps.13235] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/14/2020] [Indexed: 12/11/2022]
Abstract
OBJECTIVE Recent meta-analyses on dose-response relationships of SSRIs are largely based on indirect evidence. We analyzed RCTs directly comparing different SSRI doses. METHOD Systematic literature search for RCTs. Two raters independently screened articles and extracted data. Across SSRIs, doses defined as low, medium, and high doses, based on drug manufacturers' product monographs, were analyzed in pairwise random-effects meta-analyses and in a sensitivity network meta-analysis with regard to differences in antidepressive efficacy (primary outcome). We also analyzed all direct comparisons of different dosages of specific SSRIs. (Prospero CRD42018081031). RESULTS Out of 5333 articles screened, we included 33. Comparisons of dosage groups (low, medium, and high) resulted in only small and clinically non-significant differences for SSRIs as a group, the strongest relating to medium vs low doses (SMD: -0.15 [95%-CI: -0.28; -0.01) and not sustained in a sensitivity analysis. Among different doses of specific SSRIs, no statistically significant trend emerged for efficacy at higher doses, but 60 mg/day fluoxetine are statistically significantly inferior to 20 mg/day. Paroxetine results are inconclusive: 10 mg/day are inferior to higher doses, but 30 and 40 mg/day are inferior to 20 mg/day. Meaningful effects cannot be ruled out for certain drugs and dosages, often investigated in only one trial. Dropout rates increase with dose-particularly due to side effects. Network meta-analyses supported our findings. CONCLUSIONS There is no conclusive level I or level II evidence of a clinically meaningful dose-response relationship of SSRIs as a group or of single substances. High SSRI doses are not recommended as routine treatment.
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Affiliation(s)
- C Braun
- Department of Psychiatry and Psychotherapy, Faculty of Medicine, University of Cologne, Cologne, Germany
| | - A Adams
- Institute of Medical Statistics and Computational Biology, Faculty of Medicine, University of Cologne, Cologne, Germany
| | - L Rink
- Department of Psychiatry and Psychotherapy, Faculty of Medicine, University of Cologne, Cologne, Germany
| | - T Bschor
- Department of Psychiatry, Schlosspark Hospital, Berlin, Germany.,Department of Psychiatry and Psychotherapy, Technical University of Dresden, Dresden, Germany
| | - K Kuhr
- Institute of Medical Statistics and Computational Biology, Faculty of Medicine, University of Cologne, Cologne, Germany
| | - C Baethge
- Department of Psychiatry and Psychotherapy, Faculty of Medicine, University of Cologne, Cologne, Germany
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14
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Dold M, Kasper S. Dose-response relationship of selective serotonin reuptake inhibitors. Acta Psychiatr Scand 2020; 142:427-429. [PMID: 33315261 DOI: 10.1111/acps.13262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Revised: 10/29/2020] [Accepted: 11/01/2020] [Indexed: 11/30/2022]
Affiliation(s)
- Markus Dold
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Siegfried Kasper
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
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15
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Cosci F, Mansueto G, Fava GA. Relapse prevention in recurrent major depressive disorder. A comparison of different treatment options based on clinical experience and a critical review of the literature. Int J Psychiatry Clin Pract 2020; 24:341-348. [PMID: 32716222 DOI: 10.1080/13651501.2020.1779308] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
BACKGROUND Reducing the risk of relapses is a critical component of major depressive disorders treatment. Guidelines suggest maintenance with antidepressant drugs in recurrent depression, but this solution has recently been questioned. OBJECTIVE The aim of this article is to provide a critical review of the literature of the main treatment options currently available to prevent relapse and recurrence in depression. METHODS We compared long-term antidepressant therapy (i.e., indefinite maintenance of antidepressant), intermittent antidepressant therapy (i.e., use of antidepressants mainly limited to the acute phases), use of psychotherapy in the sequential model (i.e., pharmacotherapy in the acute phase and psychotherapy in the residual phase). RESULTS We argue that the same solution may not apply to all patients and question the feasibility of a single course of treatment in the setting of complex disorders that are encountered in practice. The clinician should weigh advantages and disadvantages in the individual case. CONCLUSIONS The sequential model appears to be particularly indicated in recurrent depression. KEY POINTS Relapse is a major challenge of depressive disorders treatment Treatment options currently available include long-term antidepressants, intermittent antidepressants, addition of psychotherapy to pharmacotherapy in the sequential model Maintenance with antidepressants in recurrent depression has recently been questioned The sequential model appears to be particularly indicated in recurrent depression.
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Affiliation(s)
- Fiammetta Cosci
- Department of Health Sciences, University of Florence, Florence, Italy.,Department of Psychiatry & Neuropsychology, Maastricht University, Maastricht, the Netherlands
| | - Giovanni Mansueto
- Department of Health Sciences, University of Florence, Florence, Italy
| | - Giovanni Andrea Fava
- Department of Psychiatry, State University of New York at Buffalo, Buffalo, NY, USA
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16
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Ang YS, Kaiser R, Deckersbach T, Almeida J, Phillips ML, Chase HW, Webb CA, Parsey R, Fava M, McGrath P, Weissman M, Adams P, Deldin P, Oquendo MA, McInnis MG, Carmody T, Bruder G, Cooper CM, Fatt CRC, Trivedi MH, Pizzagalli DA. Pretreatment Reward Sensitivity and Frontostriatal Resting-State Functional Connectivity Are Associated With Response to Bupropion After Sertraline Nonresponse. Biol Psychiatry 2020; 88:657-667. [PMID: 32507389 PMCID: PMC7529779 DOI: 10.1016/j.biopsych.2020.04.009] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Revised: 03/24/2020] [Accepted: 04/13/2020] [Indexed: 12/21/2022]
Abstract
BACKGROUND Standard guidelines recommend selective serotonin reuptake inhibitors as first-line antidepressants for adults with major depressive disorder, but success is limited and patients who fail to benefit are often switched to non-selective serotonin reuptake inhibitor agents. This study investigated whether brain- and behavior-based markers of reward processing might be associated with response to bupropion after sertraline nonresponse. METHODS In a two-stage, double-blinded clinical trial, 296 participants were randomized to receive 8 weeks of sertraline or placebo in stage 1. Individuals who responded continued on another 8-week course of the same intervention in stage 2, while sertraline and placebo nonresponders crossed over to bupropion and sertraline, respectively. Data from 241 participants were analyzed. The stage 2 sample comprised 87 patients with major depressive disorder who switched medication and 38 healthy control subjects. A total of 116 participants with major depressive disorder treated with sertraline in stage 1 served as an independent replication sample. The probabilistic reward task and resting-state functional magnetic resonance imaging were administered at baseline. RESULTS Greater pretreatment reward sensitivity and higher resting-state functional connectivity between bilateral nucleus accumbens and rostral anterior cingulate cortex were associated with positive response to bupropion but not sertraline. Null findings for sertraline were replicated in the stage 1 sample. CONCLUSIONS Pretreatment reward sensitivity and frontostriatal connectivity may identify patients likely to benefit from bupropion following selective serotonin reuptake inhibitor failures. Results call for a prospective replication based on these biomarkers to advance clinical care.
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Affiliation(s)
- Yuen-Siang Ang
- Department of Psychiatry, Harvard Medical School, Boston, 25 Shattuck Street, Boston, MA 02115,Center for Depression, Anxiety and Stress Research, McLean Hospital, 115 Mill Street, Belmont, MA 02478
| | - Roselinde Kaiser
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO 80302
| | - Thilo Deckersbach
- Department of Psychiatry, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114
| | - Jorge Almeida
- Department of Psychiatry, University of Texas at Austin, Dell Medical School, 1601 Trinity St., Austin, TX 78712
| | - Mary L. Phillips
- Department of Psychiatry, University of Pittsburgh, 3811 O’Hara St, Pittsburgh, PA 15213
| | - Henry W. Chase
- Department of Psychiatry, University of Pittsburgh, 3811 O’Hara St, Pittsburgh, PA 15213
| | - Christian A. Webb
- Department of Psychiatry, Harvard Medical School, Boston, 25 Shattuck Street, Boston, MA 02115,Center for Depression, Anxiety and Stress Research, McLean Hospital, 115 Mill Street, Belmont, MA 02478
| | - Ramin Parsey
- Department of Psychiatry, Stony Brook University, Stony Brook, 100 Nicolls Road, Stony Brook, NY 11794
| | - Maurizio Fava
- Department of Psychiatry, Harvard Medical School, Boston, 25 Shattuck Street, Boston, MA 02115,Department of Psychiatry, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114
| | - Patrick McGrath
- New York State Psychiatric Institute & Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, 1051 Riverside Drive, New York, NY 10032
| | - Myrna Weissman
- New York State Psychiatric Institute & Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, 1051 Riverside Drive, New York, NY 10032
| | - Phil Adams
- New York State Psychiatric Institute & Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, 1051 Riverside Drive, New York, NY 10032
| | - Patricia Deldin
- Department of Psychiatry, University of Michigan, 500 S State Street, Ann Arbor, MI 48109
| | - Maria A. Oquendo
- Department of Psychiatry, University of Pennsylvania, Perelman School of Medicine, 3400 Civic Center Blvd, Philadelphia, PA 19104
| | - Melvin G. McInnis
- Department of Psychiatry, University of Michigan, 500 S State Street, Ann Arbor, MI 48109
| | - Thomas Carmody
- Department of Psychiatry, University of Texas, Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390
| | - Gerard Bruder
- New York State Psychiatric Institute & Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, 1051 Riverside Drive, New York, NY 10032
| | - Crystal M. Cooper
- Department of Psychiatry, University of Texas, Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390
| | - Cherise R. Chin Fatt
- Department of Psychiatry, University of Texas, Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390
| | - Madhukar H. Trivedi
- Department of Psychiatry, University of Texas, Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390
| | - Diego A. Pizzagalli
- Department of Psychiatry, Harvard Medical School, Boston, 25 Shattuck Street, Boston, MA 02115,Center for Depression, Anxiety and Stress Research, McLean Hospital, 115 Mill Street, Belmont, MA 02478
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Hägg D, Brenner P, Reutfors J, Li G, DiBernardo A, Bodén R, Brandt L. A register-based approach to identifying treatment-resistant depression-Comparison with clinical definitions. PLoS One 2020; 15:e0236434. [PMID: 32730324 PMCID: PMC7392234 DOI: 10.1371/journal.pone.0236434] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Accepted: 07/06/2020] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Several definitions of treatment-resistant depression (TRD) are used for clinical research, but no verified model for use in register data exists. We aimed to compare a novel model created for use in register data-the Karolinska Institutet Model (KIM)-to the clinical definitions regarding the proportion of patients identified with TRD, their characteristics and clinical outcomes. METHODS All patients in Sweden initiating antidepressant treatment with a diagnosis of depression in specialized healthcare 2006-2014 were identified and followed in national registers. In KIM, patients who initiated a third sequential, >28-day antidepressant treatment trial were defined as having TRD. Proportion of TRD and patient characteristics were compared with register adaptations of the European Staging Model (ESM), Massachusetts General Hospital Staging Method (MGH-s), and Maudsley Staging Model (MSM). Differences in patient characteristics were assessed with Chi-square tests and one-way ANOVAs. Hazard ratios for psychiatric hospitalization and for death from external causes were estimated by Cox proportional hazard regressions. RESULTS Out of 127,108 antidepressant initiators with depression, the highest proportion of TRD was found using the MGH-s (19.0%), followed by MSM (15.3%), KIM (12.9%), and ESM (9.5%). Clinical characteristics were similar across the models. Compared with TRD patients identified by KIM, those identified by ESM had a marginally higher risk for psychiatric hospitalization (adjusted hazard ratio [aHR] 1.03, 95%CI 1.00-1.05), whereas those identified by MGH-s (aHR 0.92; 0.90-0.94) and MSM (aHR 0.95; 0.94-0.97) had a slightly reduced risk. Patients identified by MGH-s showed a reduced mortality compared with KIM (aHR 0.84; 0.72-0.98). CONCLUSIONS This study provides insight into the differing characteristics of patients captured by various TRD models when used for register research. Models yielding lower proportions of TRD seemed to identify patients with greater morbidity. The KIM may be useful for register based research in TRD.
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Affiliation(s)
- David Hägg
- Karolinska Institutet, Centre for Pharmacoepidemiology, Karolinska University Hospital, Stockholm, Sweden
- * E-mail:
| | - Philip Brenner
- Karolinska Institutet, Centre for Pharmacoepidemiology, Karolinska University Hospital, Stockholm, Sweden
| | - Johan Reutfors
- Karolinska Institutet, Centre for Pharmacoepidemiology, Karolinska University Hospital, Stockholm, Sweden
| | - Gang Li
- Janssen, Global Services, Titusville, New Jersey, United States of America
| | - Allitia DiBernardo
- Janssen, Global Services, Titusville, New Jersey, United States of America
| | - Robert Bodén
- Department of Neuroscience Psychiatry, Uppsala University, Uppsala, Sweden
| | - Lena Brandt
- Karolinska Institutet, Centre for Pharmacoepidemiology, Karolinska University Hospital, Stockholm, Sweden
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Furukawa TA, Salanti G, Cowen PJ, Leucht S, Cipriani A. No benefit from flexible titration above minimum licensed dose in prescribing antidepressants for major depression: systematic review. Acta Psychiatr Scand 2020; 141:401-409. [PMID: 31891415 DOI: 10.1111/acps.13145] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Revised: 12/22/2019] [Accepted: 12/29/2019] [Indexed: 11/29/2022]
Abstract
BACKGROUND In fixed-dose antidepressant trials, the lower range of the licensed dose achieves the optimal balance between efficacy and tolerability. Whether flexible upward titration while side-effects permit provides additional benefits is unknown. METHODS We did a systematic review of placebo-controlled randomized trials that examined selective serotonin reuptake inhibitors (SSRIs), venlafaxine or mirtazapine in the acute treatment of major depression. Our primary outcome was response, defined as 50% or greater reduction in depression severity. Secondary outcomes included drop-outs due to adverse effects and drop-outs for any reason. We conducted random-effects meta-analyses to calculate the ratios of odds ratios (RORs) between trials comparing the flexible dose titrating above the minimum licensed dose against placebo and those comparing the fixed minimum licensed dose against placebo. RESULTS We included 123 published and unpublished randomized controlled trials (29 420 participants). There was no evidence supporting efficacy of the flexible dosing over the fixed low dose of SSRIs (ROR 0.96, 95% CI: 0.73 to 1.25), venlafaxine (1.24, 0.96 to 1.60) or mirtazapine (0.77, 0.33 to 1.78). No important differences were noted for tolerability or for any subgroup analyses except the superior efficacy of venlafaxine flexible dosing between 75 and 150 mg over the fixed 75 mg (1.30, 1.02 to 1.65). CONCLUSION There was no evidence to support added value in terms of efficacy, tolerability or acceptability of flexibly titrating up the dosage over the minimum licensed dose of SSRIs or mirtazapine. For venlafaxine, increased efficacy can be expected by flexibly titrating up to 150 mg.
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Affiliation(s)
- T A Furukawa
- Departments of Health Promotion and Human Behavior and of Clinical Epidemiology, Kyoto University Graduate School of Medicine/School of Public Health, Kyoto, Japan
| | - G Salanti
- Institute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland
| | - P J Cowen
- Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford, UK
| | - S Leucht
- Department of Psychiatry and Psychotherapy, School of Medicine, Technical University of Munich, Munich, Germany
| | - A Cipriani
- Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford, UK.,Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, UK
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Furukawa TA, Cowen PJ, Salanti G, Leucht S, Egger M, Cipriani A. Optimal dosing of antidepressant drugs - Authors' reply. Lancet Psychiatry 2019; 6:806-807. [PMID: 31544758 DOI: 10.1016/s2215-0366(19)30339-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2019] [Accepted: 08/27/2019] [Indexed: 12/22/2022]
Affiliation(s)
- Toshi A Furukawa
- Department of Health Promotion and Human Behavior and Department of Clinical Epidemiology, Kyoto University Graduate School of Medicine and School of Public Health, Kyoto, Japan
| | - Philip J Cowen
- Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford OX3 7JX, UK
| | - Georgia Salanti
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
| | - Stefan Leucht
- Department of Psychiatry and Psychotherapy, Faculty of Medicine, Technische Universität München, Klinikum rechts der Isar, Germany
| | - Matthias Egger
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
| | - Andrea Cipriani
- Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford OX3 7JX, UK.
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20
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Bartova L, Dold M, Kautzky A, Fabbri C, Spies M, Serretti A, Souery D, Mendlewicz J, Zohar J, Montgomery S, Schosser A, Kasper S. Results of the European Group for the Study of Resistant Depression (GSRD) - basis for further research and clinical practice. World J Biol Psychiatry 2019; 20:427-448. [PMID: 31340696 DOI: 10.1080/15622975.2019.1635270] [Citation(s) in RCA: 80] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
Objectives: The overview outlines two decades of research from the European Group for the Study of Resistant Depression (GSRD) that fundamentally impacted evidence-based algorithms for diagnostics and psychopharmacotherapy of treatment-resistant depression (TRD). Methods: The GSRD staging model characterising response, non-response and resistance to antidepressant (AD) treatment was applied to 2762 patients in eight European countries. Results: In case of non-response, dose escalation and switching between different AD classes did not show superiority over continuation of original AD treatment. Predictors for TRD were symptom severity, duration of the current major depressive episode (MDE), suicidality, psychotic and melancholic features, comorbid anxiety and personality disorders, add-on treatment, non-response to the first AD, adverse effects, high occupational level, recurrent disease course, previous hospitalisations, positive family history of MDD, early age of onset and novel associations of single nucleoid polymorphisms (SNPs) within the PPP3CC, ST8SIA2, CHL1, GAP43 and ITGB3 genes and gene pathways associated with neuroplasticity, intracellular signalling and chromatin silencing. A prediction model reaching accuracy of above 0.7 highlighted symptom severity, suicidality, comorbid anxiety and lifetime MDEs as the most informative predictors for TRD. Applying machine-learning algorithms, a signature of three SNPs of the BDNF, PPP3CC and HTR2A genes and lacking melancholia predicted treatment response. Conclusions: The GSRD findings offer a unique and balanced perspective on TRD representing foundation for further research elaborating on specific clinical and genetic hypotheses and treatment strategies within appropriate study-designs, especially interaction-based models and randomized controlled trials.
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Affiliation(s)
- Lucie Bartova
- Department of Psychiatry and Psychotherapy, Medical University of Vienna , Vienna , Austria
| | - Markus Dold
- Department of Psychiatry and Psychotherapy, Medical University of Vienna , Vienna , Austria
| | - Alexander Kautzky
- Department of Psychiatry and Psychotherapy, Medical University of Vienna , Vienna , Austria
| | - Chiara Fabbri
- Department of Biomedical and NeuroMotor Sciences, University of Bologna , Bologna , Italy.,Institute of Psychiatry, Psychology and Neuroscience, King's College London , London , United Kingdom
| | - Marie Spies
- Department of Psychiatry and Psychotherapy, Medical University of Vienna , Vienna , Austria
| | - Alessandro Serretti
- Department of Biomedical and NeuroMotor Sciences, University of Bologna , Bologna , Italy
| | | | | | - Joseph Zohar
- Psychiatric Division, Chaim Sheba Medical Center , Tel Hashomer , Israel
| | | | - Alexandra Schosser
- Department of Psychiatry and Psychotherapy, Medical University of Vienna , Vienna , Austria.,Zentrum für seelische Gesundheit Leopoldau, BBRZ-MED , Vienna , Austria
| | - Siegfried Kasper
- Department of Psychiatry and Psychotherapy, Medical University of Vienna , Vienna , Austria
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22
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De Donatis D, Florio V, Porcelli S, Saria A, Mercolini L, Serretti A, Conca A. Duloxetine plasma level and antidepressant response. Prog Neuropsychopharmacol Biol Psychiatry 2019; 92:127-132. [PMID: 30611837 DOI: 10.1016/j.pnpbp.2019.01.001] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2018] [Revised: 12/11/2018] [Accepted: 01/02/2019] [Indexed: 02/06/2023]
Abstract
BACKGROUND Major Depressive Disorder (MDD) is associated with a high rate of inadequate treatment response, which is mainly due to the large inter-individual genetic variability in pharmacokinetic and pharmacodynamic targets of antidepressant drugs. Little is still known about the exact association between plasma level of first-line antidepressants and clinical response. This is particularly true for duloxetine, a dual serotonin and norepinephrine reuptake inhibitor recommended as first-line treatment for MDD. The aim of this study was to investigate the association between serum concentration of duloxetine (SCD) and antidepressant response (AR). METHODS 66 MDD patients treated with duloxetine 60 mg/day monotherapy were recruited in an outpatient setting and followed for three months. Hamilton Depression Rating Scale - 21 (HAMD-21) was administrated at baseline, at month 1, and at month 3 to assess AR. SCD was measured at steady state. Linear regression analysis and nonlinear least-squares regression were used to estimate association between SCD and AR. RESULTS SCD showed a high inter-individual variability in our sample, despite the duloxetine fixed oral dosage. We found a strong association between SCD and AR following a bell-shaped function at month 1 and at month 3. Nonetheless, within the recommended SCD range of 30-120 ng/mL a more linear correlation between SCD and AR was observed. DISCUSSION Our results suggest that for duloxetine the association between SCD and AR likely follows a bell-shaped quadratic function with poor AR at subtherapeutic SCD and progressive decrease of AR at higher SCD. The maximum antidepressant efficacy seems to require SCD values next to the highest recommended SCD (30-120 ng/mL), probably because of the optimal saturation of both serotonin and norepinephrine transporters. Thus, taking into account the observed high interindividual variability of SCD, our findings suggest that for MDD patients treated with duloxetine, SCD could be a useful tool to guide the treatment by optimizing the oral dosage in order to increase the AR rate.
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Affiliation(s)
- Domenico De Donatis
- Department of Biomedical and Neuromotor Science, University of Bologna, Bologna, Italy
| | | | - Stefano Porcelli
- Department of Biomedical and Neuromotor Science, University of Bologna, Bologna, Italy
| | - Alois Saria
- Experimental Psychiatry Unit, Medical University of Innsbruck, Innsbruck, Austria
| | - Laura Mercolini
- Department of Pharmacy and Biotechnology, University of Bologna, Bologna, Italy
| | - Alessandro Serretti
- Department of Biomedical and Neuromotor Science, University of Bologna, Bologna, Italy.
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23
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Caraci F, Calabrese F, Molteni R, Bartova L, Dold M, Leggio GM, Fabbri C, Mendlewicz J, Racagni G, Kasper S, Riva MA, Drago F. International Union of Basic and Clinical Pharmacology CIV: The Neurobiology of Treatment-resistant Depression: From Antidepressant Classifications to Novel Pharmacological Targets. Pharmacol Rev 2018; 70:475-504. [PMID: 29884653 DOI: 10.1124/pr.117.014977] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Major depressive disorder is one of the most prevalent and life-threatening forms of mental illnesses and a major cause of morbidity worldwide. Currently available antidepressants are effective for most patients, although around 30% are considered treatment resistant (TRD), a condition that is associated with a significant impairment of cognitive function and poor quality of life. In this respect, the identification of the molecular mechanisms contributing to TRD represents an essential step for the design of novel and more efficacious drugs able to modify the clinical course of this disorder and increase remission rates in clinical practice. New insights into the neurobiology of TRD have shed light on the role of a number of different mechanisms, including the glutamatergic system, immune/inflammatory systems, neurotrophin function, and epigenetics. Advances in drug discovery processes in TRD have also influenced the classification of antidepressant drugs and novel classifications are available, such as the neuroscience-based nomenclature that can incorporate such advances in drug development for TRD. This review aims to provide an up-to-date description of key mechanisms in TRD and describe current therapeutic strategies for TRD before examining novel approaches that may ultimately address important neurobiological mechanisms not targeted by currently available antidepressants. All in all, we suggest that drug targeting different neurobiological systems should be able to restore normal function but must also promote resilience to reduce the long-term vulnerability to recurrent depressive episodes.
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Affiliation(s)
- F Caraci
- Departments of Drug Sciences (F.Car.) and Biomedical and Biotechnological Sciences, School of Medicine (G.M.L., F.D.), University of Catania, Catania, Italy; Oasi-Research-Institute-IRCCS, Troina, Italy (F.Car.); Departments of Pharmacological and Biomolecular Sciences (F.Cal., G.R., M.A.R.) and Medical Biotechnology and Translational Medicine (R.M.), Università degli Studi di Milano, Milan, Italy; Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria (L.B., M.D., S.K.); Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy (C.F.); and School of Medicine, Universite' Libre de Bruxelles, Bruxelles, Belgium (J.M.)
| | - F Calabrese
- Departments of Drug Sciences (F.Car.) and Biomedical and Biotechnological Sciences, School of Medicine (G.M.L., F.D.), University of Catania, Catania, Italy; Oasi-Research-Institute-IRCCS, Troina, Italy (F.Car.); Departments of Pharmacological and Biomolecular Sciences (F.Cal., G.R., M.A.R.) and Medical Biotechnology and Translational Medicine (R.M.), Università degli Studi di Milano, Milan, Italy; Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria (L.B., M.D., S.K.); Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy (C.F.); and School of Medicine, Universite' Libre de Bruxelles, Bruxelles, Belgium (J.M.)
| | - R Molteni
- Departments of Drug Sciences (F.Car.) and Biomedical and Biotechnological Sciences, School of Medicine (G.M.L., F.D.), University of Catania, Catania, Italy; Oasi-Research-Institute-IRCCS, Troina, Italy (F.Car.); Departments of Pharmacological and Biomolecular Sciences (F.Cal., G.R., M.A.R.) and Medical Biotechnology and Translational Medicine (R.M.), Università degli Studi di Milano, Milan, Italy; Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria (L.B., M.D., S.K.); Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy (C.F.); and School of Medicine, Universite' Libre de Bruxelles, Bruxelles, Belgium (J.M.)
| | - L Bartova
- Departments of Drug Sciences (F.Car.) and Biomedical and Biotechnological Sciences, School of Medicine (G.M.L., F.D.), University of Catania, Catania, Italy; Oasi-Research-Institute-IRCCS, Troina, Italy (F.Car.); Departments of Pharmacological and Biomolecular Sciences (F.Cal., G.R., M.A.R.) and Medical Biotechnology and Translational Medicine (R.M.), Università degli Studi di Milano, Milan, Italy; Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria (L.B., M.D., S.K.); Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy (C.F.); and School of Medicine, Universite' Libre de Bruxelles, Bruxelles, Belgium (J.M.)
| | - M Dold
- Departments of Drug Sciences (F.Car.) and Biomedical and Biotechnological Sciences, School of Medicine (G.M.L., F.D.), University of Catania, Catania, Italy; Oasi-Research-Institute-IRCCS, Troina, Italy (F.Car.); Departments of Pharmacological and Biomolecular Sciences (F.Cal., G.R., M.A.R.) and Medical Biotechnology and Translational Medicine (R.M.), Università degli Studi di Milano, Milan, Italy; Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria (L.B., M.D., S.K.); Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy (C.F.); and School of Medicine, Universite' Libre de Bruxelles, Bruxelles, Belgium (J.M.)
| | - G M Leggio
- Departments of Drug Sciences (F.Car.) and Biomedical and Biotechnological Sciences, School of Medicine (G.M.L., F.D.), University of Catania, Catania, Italy; Oasi-Research-Institute-IRCCS, Troina, Italy (F.Car.); Departments of Pharmacological and Biomolecular Sciences (F.Cal., G.R., M.A.R.) and Medical Biotechnology and Translational Medicine (R.M.), Università degli Studi di Milano, Milan, Italy; Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria (L.B., M.D., S.K.); Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy (C.F.); and School of Medicine, Universite' Libre de Bruxelles, Bruxelles, Belgium (J.M.)
| | - C Fabbri
- Departments of Drug Sciences (F.Car.) and Biomedical and Biotechnological Sciences, School of Medicine (G.M.L., F.D.), University of Catania, Catania, Italy; Oasi-Research-Institute-IRCCS, Troina, Italy (F.Car.); Departments of Pharmacological and Biomolecular Sciences (F.Cal., G.R., M.A.R.) and Medical Biotechnology and Translational Medicine (R.M.), Università degli Studi di Milano, Milan, Italy; Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria (L.B., M.D., S.K.); Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy (C.F.); and School of Medicine, Universite' Libre de Bruxelles, Bruxelles, Belgium (J.M.)
| | - J Mendlewicz
- Departments of Drug Sciences (F.Car.) and Biomedical and Biotechnological Sciences, School of Medicine (G.M.L., F.D.), University of Catania, Catania, Italy; Oasi-Research-Institute-IRCCS, Troina, Italy (F.Car.); Departments of Pharmacological and Biomolecular Sciences (F.Cal., G.R., M.A.R.) and Medical Biotechnology and Translational Medicine (R.M.), Università degli Studi di Milano, Milan, Italy; Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria (L.B., M.D., S.K.); Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy (C.F.); and School of Medicine, Universite' Libre de Bruxelles, Bruxelles, Belgium (J.M.)
| | - G Racagni
- Departments of Drug Sciences (F.Car.) and Biomedical and Biotechnological Sciences, School of Medicine (G.M.L., F.D.), University of Catania, Catania, Italy; Oasi-Research-Institute-IRCCS, Troina, Italy (F.Car.); Departments of Pharmacological and Biomolecular Sciences (F.Cal., G.R., M.A.R.) and Medical Biotechnology and Translational Medicine (R.M.), Università degli Studi di Milano, Milan, Italy; Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria (L.B., M.D., S.K.); Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy (C.F.); and School of Medicine, Universite' Libre de Bruxelles, Bruxelles, Belgium (J.M.)
| | - S Kasper
- Departments of Drug Sciences (F.Car.) and Biomedical and Biotechnological Sciences, School of Medicine (G.M.L., F.D.), University of Catania, Catania, Italy; Oasi-Research-Institute-IRCCS, Troina, Italy (F.Car.); Departments of Pharmacological and Biomolecular Sciences (F.Cal., G.R., M.A.R.) and Medical Biotechnology and Translational Medicine (R.M.), Università degli Studi di Milano, Milan, Italy; Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria (L.B., M.D., S.K.); Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy (C.F.); and School of Medicine, Universite' Libre de Bruxelles, Bruxelles, Belgium (J.M.)
| | - M A Riva
- Departments of Drug Sciences (F.Car.) and Biomedical and Biotechnological Sciences, School of Medicine (G.M.L., F.D.), University of Catania, Catania, Italy; Oasi-Research-Institute-IRCCS, Troina, Italy (F.Car.); Departments of Pharmacological and Biomolecular Sciences (F.Cal., G.R., M.A.R.) and Medical Biotechnology and Translational Medicine (R.M.), Università degli Studi di Milano, Milan, Italy; Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria (L.B., M.D., S.K.); Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy (C.F.); and School of Medicine, Universite' Libre de Bruxelles, Bruxelles, Belgium (J.M.)
| | - F Drago
- Departments of Drug Sciences (F.Car.) and Biomedical and Biotechnological Sciences, School of Medicine (G.M.L., F.D.), University of Catania, Catania, Italy; Oasi-Research-Institute-IRCCS, Troina, Italy (F.Car.); Departments of Pharmacological and Biomolecular Sciences (F.Cal., G.R., M.A.R.) and Medical Biotechnology and Translational Medicine (R.M.), Università degli Studi di Milano, Milan, Italy; Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria (L.B., M.D., S.K.); Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy (C.F.); and School of Medicine, Universite' Libre de Bruxelles, Bruxelles, Belgium (J.M.)
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24
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Abstract
Major depression is a common illness that severely limits psychosocial functioning and diminishes quality of life. In 2008, WHO ranked major depression as the third cause of burden of disease worldwide and projected that the disease will rank first by 2030.1 In practice, its detection, diagnosis, and management often pose challenges for clinicians because of its various presentations, unpredictable course and prognosis, and variable response to treatment.
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Affiliation(s)
- Gin S Malhi
- Department of Academic Psychiatry, Sydney Medical School Northern, University of Sydney, Sydney, NSW, Australia; CADE Clinic, Royal North Shore Hospital, Sydney, NSW, Australia.
| | - J John Mann
- Molecular Imaging and Neuropathology Division, Department of Psychiatry, Columbia University, New York, NY, USA
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25
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Kato T, Furukawa TA, Mantani A, Kurata K, Kubouchi H, Hirota S, Sato H, Sugishita K, Chino B, Itoh K, Ikeda Y, Shinagawa Y, Kondo M, Okamoto Y, Fujita H, Suga M, Yasumoto S, Tsujino N, Inoue T, Fujise N, Akechi T, Yamada M, Shimodera S, Watanabe N, Inagaki M, Miki K, Ogawa Y, Takeshima N, Hayasaka Y, Tajika A, Shinohara K, Yonemoto N, Tanaka S, Zhou Q, Guyatt GH. Optimising first- and second-line treatment strategies for untreated major depressive disorder - the SUN☺D study: a pragmatic, multi-centre, assessor-blinded randomised controlled trial. BMC Med 2018; 16:103. [PMID: 29991347 PMCID: PMC6040068 DOI: 10.1186/s12916-018-1096-5] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2017] [Accepted: 06/05/2018] [Indexed: 01/30/2023] Open
Abstract
BACKGROUND For patients starting treatment for depression, current guidelines recommend titrating the antidepressant dosage to the maximum of the licenced range if tolerated. When patients do not achieve remission within several weeks, recommendations include adding or switching to another antidepressant. However, the relative merits of these guideline strategies remain unestablished. METHODS This multi-centre, open-label, assessor-blinded, pragmatic trial involved two steps. Step 1 used open-cluster randomisation, allocating clinics into those titrating sertraline up to 50 mg/day or 100 mg/day by week 3. Step 2 used central randomisation to allocate patients who did not remit after 3 weeks of treatment to continue sertraline, to add mirtazapine or to switch to mirtazapine. The primary outcome was depression severity measured with the Patient Health Questionnaire-9 (PHQ-9) (scores between 0 and 27; higher scores, greater depression) at week 9. We applied mixed-model repeated-measures analysis adjusted for key baseline covariates. RESULTS Between December 2010 and March 2015, we recruited 2011 participants with hitherto untreated major depression at 48 clinics in Japan. In step 1, 970 participants were allocated to the 50 mg/day and 1041 to the 100 mg/day arms; 1927 (95.8%) provided primary outcomes. There was no statistically significant difference in the adjusted PHQ-9 score at week 9 between the 50 mg/day arm and the 100 mg/day arm (0.25 point, 95% confidence interval (CI), - 0.58 to 1.07, P = 0.55). Other outcomes proved similar in the two groups. In step 2, 1646 participants not remitted by week 3 were randomised to continue sertraline (n = 551), to add mirtazapine (n = 537) or to switch to mirtazapine (n = 558): 1613 (98.0%) provided primary outcomes. At week 9, adding mirtazapine achieved a reduction in PHQ-9 scores of 0.99 point (0.43 to 1.55, P = 0.0012); switching achieved a reduction of 1.01 points (0.46 to 1.56, P = 0.0012), both relative to continuing sertraline. Combination increased the percentage of remission by 12.4% (6.1 to 19.0%) and switching by 8.4% (2.5 to 14.8%). There were no differences in adverse effects. CONCLUSIONS In patients with new onset depression, we found no advantage of titrating sertraline to 100 mg vs 50 mg. Patients unremitted by week 3 gained a small benefit in reduction of depressive symptoms at week 9 by switching sertraline to mirtazapine or by adding mirtazapine. TRIAL REGISTRATION ClinicalTrials.gov, NCT01109693 . Registered on 23 April 2010.
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Affiliation(s)
| | - Toshi A Furukawa
- Department of Health Promotion of Human Behavior, Kyoto University Graduate School of Medicine / School of Public Health, Yoshida Konoe-cho, Sakyo-ku, Kyoto, 606-8501, Japan.
| | | | | | | | | | | | | | | | | | | | | | - Masaki Kondo
- Department of Psychiatry and Cognitive-Behavioral Medicine, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Yasumasa Okamoto
- Department of Neuropsychiatry, Hiroshima University Graduate School of Biomedical & Health Sciences, Hiroshima, Japan
| | - Hirokazu Fujita
- Center to Promote Creativity in Medical Education, Kochi Medical School, Kochi University, Nankoku, Japan
| | - Motomu Suga
- Department of Neuropsychiatry, University of Tokyo Hospital, Tokyo, Japan
| | - Shingo Yasumoto
- Department of Neuropsychiatry, Kurume University Medical School, Kurume, Japan
| | - Naohisa Tsujino
- Department of Psychiatry, Toho University School of Medicine, Tokyo, Japan
| | - Takeshi Inoue
- Department of Neuropsychiatry, Tokyo Medical University, Tokyo, Japan
| | - Noboru Fujise
- Department of Neuropsychiatry, Kumamoto University Graduate School of Medicine, Kumamoto, Japan
| | - Tatsuo Akechi
- Department of Psychiatry and Cognitive-Behavioral Medicine, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Mitsuhiko Yamada
- Department of Neuropsychopharmacology, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Shinji Shimodera
- Center to Promote Creativity in Medical Education, Kochi Medical School, Kochi University, Nankoku, Japan
| | - Norio Watanabe
- Department of Health Promotion of Human Behavior, Kyoto University Graduate School of Medicine / School of Public Health, Yoshida Konoe-cho, Sakyo-ku, Kyoto, 606-8501, Japan
| | - Masatoshi Inagaki
- Department of Neuropsychiatry, Okayama University Hospital, Okayama, Japan
| | | | - Yusuke Ogawa
- Department of Health Promotion of Human Behavior, Kyoto University Graduate School of Medicine / School of Public Health, Yoshida Konoe-cho, Sakyo-ku, Kyoto, 606-8501, Japan
| | - Nozomi Takeshima
- Department of Health Promotion of Human Behavior, Kyoto University Graduate School of Medicine / School of Public Health, Yoshida Konoe-cho, Sakyo-ku, Kyoto, 606-8501, Japan
| | - Yu Hayasaka
- Department of Health Promotion of Human Behavior, Kyoto University Graduate School of Medicine / School of Public Health, Yoshida Konoe-cho, Sakyo-ku, Kyoto, 606-8501, Japan
| | - Aran Tajika
- Department of Health Promotion of Human Behavior, Kyoto University Graduate School of Medicine / School of Public Health, Yoshida Konoe-cho, Sakyo-ku, Kyoto, 606-8501, Japan
| | - Kiyomi Shinohara
- Department of Health Promotion of Human Behavior, Kyoto University Graduate School of Medicine / School of Public Health, Yoshida Konoe-cho, Sakyo-ku, Kyoto, 606-8501, Japan
| | - Naohiro Yonemoto
- Department of Biostatistics, Kyoto University Graduate School of Medicine / School of Public Health, Kyoto, Japan
| | - Shiro Tanaka
- Department of Clinical Biostatistics, Kyoto University Graduate School of Medicine / School of Public Health, Kyoto, Japan
| | - Qi Zhou
- Departments of Clinical Epidemiology and Biostatistics and of Medicine, McMaster University, Hamilton, Canada
| | - Gordon H Guyatt
- Departments of Clinical Epidemiology and Biostatistics and of Medicine, McMaster University, Hamilton, Canada
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de Vries YA, Roest AM, Bos EH, Burgerhof JGM, van Loo HM, de Jonge P. Predicting antidepressant response by monitoring early improvement of individual symptoms of depression: individual patient data meta-analysis. Br J Psychiatry 2018; 214:4-10. [PMID: 29952277 PMCID: PMC7557872 DOI: 10.1192/bjp.2018.122] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
BACKGROUND Improvement in depression within the first 2 weeks of antidepressant treatment predicts good outcomes, but non-improvers can still respond or remit, whereas improvers often do not.AimsWe aimed to investigate whether early improvement of individual depressive symptoms better predicts response or remission. METHOD We obtained individual patient data of 30 trials comprising 2184 placebo-treated and 6058 antidepressant-treated participants. Primary outcome was week 6 response; secondary outcomes were week 6 remission and week 12 response and remission. We compared models that only included improvement in total score by week 2 (total improvement model) with models that also included improvement in individual symptoms. RESULTS For week 6 response, the area under the receiver operating characteristic curve and negative and positive predictive values of the total improvement model were 0.73, 0.67 and 0.74 compared with 0.77, 0.70 and 0.71 for the item improvement model. Model performance decreased for week 12 outcomes. Of predicted non-responders, 29% actually did respond by week 6 and 43% by week 12, which was decreased from the baseline (overall) probabilities of 51% by week 6 and 69% by week 12. In post hoc analyses with continuous rather than dichotomous early improvement, including individual items did not enhance model performance. CONCLUSIONS Examining individual symptoms adds little to the predictive ability of early improvement. Additionally, early non-improvement does not rule out response or remission, particularly after 12 rather than 6 weeks. Therefore, our findings suggest that routinely adapting pharmacological treatment because of limited early improvement would often be premature.Declaration of interestNone.
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Affiliation(s)
- Ymkje Anna de Vries
- Interdisciplinary Center Psychopathology and Emotion Regulation, Department of Psychiatry, University Medical Center Groningen, University of Groningen, the Netherlands; Division of Developmental Psychology, Department of Psychology, University of Groningen, the Netherlands,Correspondence: Ymkje Anna de Vries, Department of Psychology, University of Groningen, Grote Kruisstraat 2/1, 9712 TS, Groningen, the Netherlands.
| | - Annelieke M. Roest
- Interdisciplinary Center Psychopathology and Emotion Regulation, Department of Psychiatry, University Medical Center Groningen, University of Groningen, the Netherlands; Division of Developmental Psychology, Department of Psychology, University of Groningen, the Netherlands
| | - Elisabeth H. Bos
- Interdisciplinary Center Psychopathology and Emotion Regulation, Department of Psychiatry, University Medical Center Groningen, University of Groningen, the Netherlands; Division of Developmental Psychology, Department of Psychology, University of Groningen, the Netherlands
| | - Johannes G. M. Burgerhof
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, the Netherlands
| | - Hanna M. van Loo
- Interdisciplinary Center Psychopathology and Emotion Regulation, Department of Psychiatry, University Medical Center Groningen, University of Groningen, the Netherlands
| | - Peter de Jonge
- Interdisciplinary Center Psychopathology and Emotion Regulation, Department of Psychiatry, University Medical Center Groningen, University of Groningen, the Netherlands; Division of Developmental Psychology, Department of Psychology, University of Groningen, the Netherlands
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27
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Dold M, Bartova L, Mendlewicz J, Souery D, Serretti A, Porcelli S, Zohar J, Montgomery S, Kasper S. Clinical correlates of augmentation/combination treatment strategies in major depressive disorder. Acta Psychiatr Scand 2018; 137:401-412. [PMID: 29492960 PMCID: PMC5947736 DOI: 10.1111/acps.12870] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/06/2018] [Indexed: 01/04/2023]
Abstract
OBJECTIVE This multicenter, multinational, cross-sectional study aimed to investigate clinical characteristics and treatment outcomes associated with augmentation/combination treatment strategies in major depressive disorder (MDD). METHOD Sociodemographic, clinical, and treatment features of 1410 adult MDD patients were compared between MDD patients treated with monotherapy and augmentation/combination medication using descriptive statistics, analyses of covariance (ancova), and Spearman's correlation analyses. RESULTS 60.64% of all participants received augmentation and/or combination strategies with a mean number of 2.18 ± 1.22 simultaneously prescribed psychiatric drugs. We found male gender, older age, Caucasian descent, higher weight, low educational status, absence of occupation, psychotic symptoms, melancholic and atypical features, suicide risk, in-patient treatment, longer duration of hospitalization, some psychiatric comorbidities (panic disorder, agoraphobia, obsessive-compulsive disorder, and bulimia nervosa), comorbid somatic comorbidity in general and concurrent hypertension, thyroid dysfunction, diabetes, and heart disease in particular, higher current and retrospective Montgomery and Åsberg Depression Rating Scale total scores, treatment resistance, and higher antidepressant dosing to be significantly associated with augmentation/combination treatment. These findings were corroborated when examining the number of concurrently administered psychiatric drugs in the statistical analyses. CONCLUSION Our findings suggest a clear association between augmentation/combination strategies and treatment-resistant/difficult-to-treat MDD conditions characterized by severe symptomatology and high amount of psychiatric and somatic comorbidities.
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Affiliation(s)
- M. Dold
- Department of Psychiatry and PsychotherapyMedical University of ViennaViennaAustria
| | - L. Bartova
- Department of Psychiatry and PsychotherapyMedical University of ViennaViennaAustria
| | - J. Mendlewicz
- School of MedicineFree University of BrusselsBrusselsBelgium
| | - D. Souery
- School of MedicineFree University of BrusselsBrusselsBelgium,European Centre of Psychological Medicine ‐ Psy PlurielBrusselsBelgium
| | - A. Serretti
- Department of Biomedical and NeuroMotor SciencesUniversity of BolognaBolognaItaly
| | - S. Porcelli
- Department of Biomedical and NeuroMotor SciencesUniversity of BolognaBolognaItaly
| | - J. Zohar
- Psychiatric DivisionChaim Sheba Medical CenterTel HashomerIsrael
| | - S. Montgomery
- Imperial CollegeUniversity of LondonLondonUnited Kingdom
| | - S. Kasper
- Department of Psychiatry and PsychotherapyMedical University of ViennaViennaAustria
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28
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Dold M, Bartova L, Souery D, Mendlewicz J, Porcelli S, Serretti A, Zohar J, Montgomery S, Kasper S. Low comorbid obsessive-compulsive disorder in patients with major depressive disorder - Findings from a European multicenter study. J Affect Disord 2018; 227:254-259. [PMID: 29107818 DOI: 10.1016/j.jad.2017.10.033] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2017] [Revised: 10/07/2017] [Accepted: 10/19/2017] [Indexed: 12/31/2022]
Abstract
BACKGROUND This cross-sectional European multicenter study examined the association between major depressive disorder (MDD) and comorbid obsessive-compulsive disorder (OCD). METHODS Socio-demographic, clinical, and treatment features of 1346 adult MDD patients were compared between MDD subjects with and without concurrent OCD using descriptive statistics, analyses of covariance (ANCOVA), and binary logistic regression analyses. RESULTS We determined a point prevalence of comorbid OCD in MDD of 1.65%. In comparison to the MDD control group without concurrent OCD, a higher proportion of patients in the MDD + comorbid OCD group displayed concurrent panic disorder (31.81% vs 7.77%, p<.001), suicide risk (52.80% vs 44.81%, p=.04), polypsychopharmacy (95.45% vs 60.21%, p=.001), and augmentation treatment with antipsychotics (50.00% vs 25.46%, p=.01) and benzodiazepines (68.18% vs 33.31%, p=.001). Moreover, they were treated with higher mean doses of their antidepressant drugs (in fluoxetine equivalents: 48.99mg/day ± 18.81 vs 39.68mg/day ± 20.75, p=.04). In the logistic regression analyses, comorbid panic disorder (odds ratio (OR)=4.17, p=.01), suicide risk (OR=2.56, p=.04), simultaneous treatment with more psychiatric drugs (OR=1.51, p=<.05), polypsychopharmacy (OR=14.29, p=.01), higher antidepressant dosing (OR=1.01, p=<.05), and augmentation with antipsychotics (OR=2.94, p=.01) and benzodiazepines (OR=4.35, p=.002) were significantly associated with comorbid OCD. CONCLUSION In summary, our findings suggest that concurrent OCD in MDD (1) has a low prevalence rate compared to the reverse prevalence rates of comorbid MDD in OCD, (2) provokes higher suicide risk, and (3) is associated with a characteristic prescription pattern reflected by a high amount of polypsychopharmaceutical treatment strategies comprising particularly augmentation with antipsychotics and benzodiazepines.
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Affiliation(s)
- Markus Dold
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Lucie Bartova
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Daniel Souery
- Psy Pluriel, Centre Européen de Psychologie Médicale, Brussels, Belgium; Université Libre de Bruxelles, Brussels, Belgium
| | | | - Stefano Porcelli
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy
| | - Alessandro Serretti
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy
| | - Joseph Zohar
- Psychiatric Division, Chaim Sheba Medical Center, Tel Hashomer, Israel
| | | | - Siegfried Kasper
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria.
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