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Bartova L, Fugger G, Dold M, Kautzky A, Bairhuber I, Kloimstein P, Fanelli G, Zanardi R, Weidenauer A, Rujescu D, Souery D, Mendlewicz J, Zohar J, Montgomery S, Fabbri C, Serretti A, Kasper S. The clinical perspective on late-onset depression in European real-world treatment settings. Eur Neuropsychopharmacol 2024; 84:59-68. [PMID: 38678879 DOI: 10.1016/j.euroneuro.2024.03.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 03/17/2024] [Accepted: 03/18/2024] [Indexed: 05/01/2024]
Abstract
The clinical phenotype of the so-called late-onset depression (LOD) affecting up to 30% of older adults and yielding heterogeneous manifestations concerning symptoms, severity and course has not been fully elucidated yet. This European, cross-sectional, non-interventional, naturalistic multicenter study systematically investigated socio-demographic and clinical correlates of early-onset depression (EOD) and LOD (age of onset ≥ 50 years) in 1410 adult in- and outpatients of both sexes receiving adequate psychopharmacotherapy. In a total of 1329 patients (94.3%) with known age of disease onset, LOD was identified in 23.2% and was associated with unemployment, an ongoing relationship, single major depressive episodes, lower current suicidal risk and higher occurrence of comorbid hypertension. In contrast, EOD was related to higher rates of comorbid migraine and additional psychotherapy. Although the applied study design does not allow to draw any causal conclusions, the present results reflect broad clinical settings and emphasize easily obtainable features which might be characteristic for EOD and LOD. A thoughtful consideration of age of onset might, hence, contribute to optimized diagnostic and therapeutic processes in terms of the globally intended precision medicine, ideally enabling early and adequate treatment allocations and implementation of respective prevention programs.
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Affiliation(s)
- Lucie Bartova
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria; Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy; Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Gernot Fugger
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria; Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy; Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria; Psychiatric Day Hospital University Hospital St. Poelten, Karl Landsteiner Private University of Health Sciences, Krems an der Donau, Austria
| | - Markus Dold
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria; Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy; Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Alexander Kautzky
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria; Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Isabella Bairhuber
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria; Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Philipp Kloimstein
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria; Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria; Center for Addiction Medicine, Foundation Maria Ebene, Frastanz, Austria
| | - 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
| | - Ana Weidenauer
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria; Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Dan Rujescu
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria; Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Daniel Souery
- PsyPluriel - Outpatient Department EPSYLON asbl - Epsylon Caring from Mental Health Brussels, 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
| | - Chiara Fabbri
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy
| | - Alessandro Serretti
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy; Department of Medicine and Surgery, Kore University of Enna, Enna, Italy
| | - Siegfried Kasper
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria; Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria; Center for Brain Research, Medical University of Vienna, Vienna, Austria.
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Kraus C, Kautzky A, Watzal V, Gramser A, Kadriu B, Deng ZD, Bartova L, Zarate CA, Lanzenberger R, Souery D, Montgomery S, Mendlewicz J, Zohar J, Fanelli G, Serretti A, Kasper S. Body mass index and clinical outcomes in individuals with major depressive disorder: Findings from the GSRD European Multicenter Database. J Affect Disord 2023; 335:349-357. [PMID: 37196934 PMCID: PMC10502963 DOI: 10.1016/j.jad.2023.05.042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 05/11/2023] [Accepted: 05/14/2023] [Indexed: 05/19/2023]
Abstract
BACKGROUND Individuals with major depressive disorder (MDD) are at higher risk for obesity. In turn, weight gain is a predisposing factor for depression. Although clinical data are sparse, suicide risk also appears to be elevated in obese patients. This study used data from the European Group for the Study of Resistant Depression (GSRD) to investigate clinical outcomes associated with body mass index (BMI) in MDD. METHODS Data were drawn from 892 participants with MDD over the age of 18 years (580 female, 50.5 ± 13.6 years). Response and resistance to antidepressant medication, depression rating scale scores, and further clinical and sociodemographic variables were compared using multiple logistic and linear regressions controlled for age, sex, and risk of weight gain due to psychopharmacotherapy. RESULTS Of the 892 participants, 323 were categorized as treatment-responsive and 569 as treatment-resistant. Within this cohort, 278 (31.1 %) were overweight (BMI = 25-29.9 kg/m2) and 151 (16.9 %) were obese (BMI > 30 kg/m2). Elevated BMI was significantly associated with higher suicidality, longer duration of psychiatric hospitalizations over their lifetimes, earlier age of onset of MDD, and comorbidities. There was a trend-wise association of BMI with treatment resistance. LIMITATIONS Data were analyzed in a retrospective, cross-sectional design. BMI was used as an exclusive measure of overweight and obesity. CONCLUSIONS Participants with comorbid MDD and overweight/obesity were at risk for worse clinical outcomes, suggesting that weight gain should be closely monitored in individuals with MDD in daily clinical practice. Further studies are needed to explore the neurobiological mechanisms linking elevated BMI to impaired brain health.
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Affiliation(s)
- Christoph Kraus
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria; Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA; Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna.
| | - Alexander Kautzky
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria; Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna
| | - Victoria Watzal
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria; Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna
| | - Anna Gramser
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria; Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna
| | - Bashkim Kadriu
- Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA
| | - Zhi-De Deng
- Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA
| | - Lucie Bartova
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria; Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna
| | - Carlos A Zarate
- Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA
| | - Rupert Lanzenberger
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria; Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna
| | - Daniel Souery
- Laboratoire de Psychologie Medicale, Université Libre de Bruxelles and Psy Pluriel at Epsylon Caring for Mental Health Brussels, Brussels, Belgium
| | | | | | - Joseph Zohar
- Department of Psychiatry, Sheba Medical Center, Tel Hashomer, Sackler School of Medicine, Tel Aviv University, Israel
| | - Giuseppe Fanelli
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Italy; Department of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands
| | - Alessandro Serretti
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Italy
| | - Siegfried Kasper
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria; Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna; Center for Brain Research, Department of Molecular Neuroscience, Medical University of Vienna, Vienna, Austria
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Kautzky A, Bartova L, Fugger G, Dold M, Souery D, Montgomery S, Zohar J, Mendlewicz J, Fabbri C, Serretti A, Rujescu D, Kasper S. Age as a moderating factor of treatment resistance in depression. Eur Psychiatry 2023; 66:e35. [PMID: 37078509 DOI: 10.1192/j.eurpsy.2023.17] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/21/2023] Open
Abstract
BACKGROUND Treatment-resistant depression (TRD) is an important clinical challenge and may present differently between age groups. METHODS A total of 893 depressed patients recruited within the framework of the European research consortium "Group for the Studies of Resistant Depression" were assessed by generalized linear models regarding age effects (both as numerical and factorial predictors) on treatment outcome, number of lifetime depressive episodes, hospitalization time, and duration of the current episode. Effects of age as numerical predictor on the severity of common depressive symptoms, measured with Montgomery-Åsberg Depression Rating Scale (MADRS) for two-time points, were assessed by linear mixed models, respectively, for patients showing TRD and treatment response. A corrected p threshold of 0.001 was applied. RESULTS Overall symptom load reflected by MADRS (p < 0.0001) and lifetime hospitalization time (p < 0.0001) increased with age in TRD patients but not treatment responders. In TRD, higher age was predicting symptom severity of inner tension, reduced appetite, concentrations difficulties, and lassitude (all p ≤ 0.001). Regarding clinical significance, older TRD patients were more likely to report severe symptoms (item score > 4) for these items both before and after treatment (all p ≤ 0.001). CONCLUSIONS In this naturalistic sample of severely ill depressed patients, antidepressant treatment protocols were equally effective in addressing TRD in old age. However, specific symptoms such as sadness, appetite, and concentration showed an age-dependent presentation, impacting residual symptoms in severely affected TRD patients and calling for a precision approach by a better integration of age profiles in treatment recommendations.
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Affiliation(s)
- Alexander Kautzky
- 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
| | - Markus Dold
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Daniel Souery
- Université Libre de Bruxelles and Psy Pluriel Centre Europèen de Psychologie Medicale, Brussels, Belgium
| | | | - Joseph Zohar
- Psychiatric Division, Chaim Sheba Medical Center, Tel Hashomer, Israel
| | | | - Chiara Fabbri
- Institute of Psychiatry, Psychology & Neuroscience, King's College, London, United Kingdom
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy
| | - Alessandro Serretti
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy
| | - Dan Rujescu
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - 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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Oliva V, Fanelli G, Kasper S, Zohar J, Souery D, Montgomery S, Albani D, Forloni G, Ferentinos P, Rujescu D, Mendlewicz J, De Ronchi D, Fabbri C, Serretti A. Melancholic features and typical neurovegetative symptoms of major depressive disorder show specific polygenic patterns. J Affect Disord 2023; 320:534-543. [PMID: 36216191 DOI: 10.1016/j.jad.2022.10.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 09/27/2022] [Accepted: 10/02/2022] [Indexed: 11/17/2022]
Abstract
BACKGROUND Major depressive disorder (MDD) is a highly prevalent psychiatric condition characterised by a heterogeneous clinical presentation and an estimated twin-based heritability of ~40-50 %. Different clinical MDD subtypes might partly reflect distinctive underlying genetics. This study aims to investigate if polygenic risk scores (PRSs) for different psychiatric disorders, personality traits, and substance use-related traits may be associated with different clinical subtypes of MDD (i.e., MDD with melancholic or psychotic features), higher symptom severity, or different clusters of depressive symptoms (i.e., sadness symptoms, typical neurovegetative symptoms, detachment symptoms, and negative thoughts). METHODS The target sample included 1149 patients with MDD, recruited by the European Group for the Study of Resistant Depression. PRSs for 25 psychiatric disorders and traits were computed based on the most recent publicly available summary statistics of the largest genome-wide association studies. PRSs were then used as predictors in regression models, adjusting for age, sex, population stratification, and recruitment sites. RESULTS Patients with MDD having higher PRS for MDD and loneliness were more likely to exhibit melancholic features of MDD (p = 0.0009 and p = 0.005, respectively). Moreover, patients with higher PRS for alcohol intake and post-traumatic stress disorder were more likely to experience greater typical neurovegetative symptoms (p = 0.0012 and p = 0.0045, respectively). LIMITATIONS The proportion of phenotypic variance explained by the PRSs was limited. CONCLUSIONS This study suggests that melancholic features and typical neurovegetative symptoms of MDD may show distinctive underlying genetics. Our findings provide a new contribution to the understanding of the genetic heterogeneity of MDD.
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Affiliation(s)
- Vincenzo Oliva
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - 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
| | - Siegfried Kasper
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Joseph Zohar
- Psychiatric Division, Chaim Sheba Medical Center, Tel Hashomer, Ramat Gan, 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, UK
| | - Diego Albani
- Laboratory of Biology of Neurodegenerative Disorders, Department of Neuroscience, IRCCS Mario Negri Institute for Pharmacological Research, Milan, Italy
| | - Gianluigi Forloni
- Laboratory of Biology of Neurodegenerative Disorders, Department of Neuroscience, IRCCS Mario Negri Institute for Pharmacological Research, Milan, Italy
| | | | - Dan Rujescu
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | | | - Diana De Ronchi
- 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, UK
| | - Alessandro Serretti
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.
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Panariello F, Kasper S, Zohar J, Souery D, Montgomery S, Ferentinos P, Rujescu D, Mendlewicz J, De Ronchi D, Serretti A, Fabbri C. Characterisation of medication side effects in patients with mostly resistant depression in a real-world setting. World J Biol Psychiatry 2022; 24:439-448. [PMID: 36217984 DOI: 10.1080/15622975.2022.2134588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
OBJECTIVES This study aimed to identify factors associated with side effects of psychotropic drugs in a real-world setting enriched with treatment-resistant depression (TRD) patients. METHODS A total of 1410 depressed patients were treated in a naturalistic setting. Side effects were measured with the Udvalg for Kliniske Undersogelser Side Effect Rating Scale (UKU); the total score and UKU subscales were considered. Clinical-demographic variables were tested for association with side effects in univariate and then multivariate analyses. RESULTS Total, psychic and neurological side effects were associated with depressive symptom severity, while autonomic side effects were higher in those with somatic comorbidities and other side effects were lower in patients receiving trazodone. In multivariate analyses, depressive symptom severity was associated with psychic and total side effects, while generalised anxiety disorder (GAD) with neurological side effects and somatic comorbidities remained associated with autonomic side effects. Trazodone was associated with lower side effects and with augmentation treatments. Augmentation therapies showed opposite effects depending on response status, i.e. increased or decreased the risk of side effects in responders and non-responders/resistant patients, respectively. CONCLUSIONS Psychic side effects may be difficult to distinguish from depressive symptoms and factors associated with different types of side effects are heterogeneous and likely interacting.
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Affiliation(s)
- Fabio Panariello
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy
| | - Siegfried Kasper
- Center for Brain Research, Medical University of Vienna, Vienna, Austria.,Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Joseph Zohar
- Department of Psychiatry, Sheba Medical Center, Tel Hashomer, and Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Daniel Souery
- Laboratoire de Psychologie Medicale, Centre Européen de Psychologie Medicale, Universitè Libre de Bruxelles and Psy Pluriel, Brussels, Belgium
| | | | | | - Dan Rujescu
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Julien Mendlewicz
- Department of Psychiatry, Université Libre de Bruxelles, Brussels, Belgium
| | - Diana De Ronchi
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy
| | - Alessandro Serretti
- 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 and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, 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] [What about the content of this article? (0)] [Affiliation(s)] [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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Bartova L, Fugger G, Dold M, Mitschek M, Zohar J, Mendlewicz J, Souery D, Montgomery S, Fabbri C, Serretti A, Kasper S. Psychotherapy employed additionally to Psychopharmacotherapy is not related to Better Treatment Outcome in Major Depressive Disorder. Eur Psychiatry 2022. [PMCID: PMC9567182 DOI: 10.1192/j.eurpsy.2022.229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Introduction Although numerous effective antidepressant (AD) strategies are available for the treatment of major depressive disorder (MDD), many patients do not achieve satisfactory treatment response. Objectives The aims of the present European, cross-sectional, multicenter, naturalistic study were (1) to determine the proportion of patients suffering from primary MDD who received additional psychotherapy to their ongoing psychopharmacotherapy and (2) to identify the associated socio-demographic and clinical patterns. Methods Patients receiving both treatments were compared to those lacking concomitant additional psychotherapy that was manual-driven psychotherapy (MDP) in all cases. Results While 68.8% of a total of 1279 MDD patients received exclusively psychopharmacotherapy, 31.2% underwent a psychopharmacotherapy-MDP combination. The latter patient population was rather younger, higher educated, employed, exhibited an earlier mean age of MDD onset, lower severity of current depressive symptoms with lower odds of suicidality and higher rates of melancholic features, and comorbid asthma and migraine, and was generally treated with lower daily doses of their first-line ADs. Whereas agomelatine was more commonly dispensed in these patients, selective serotonin reuptake inhibitors were more often prescribed in MDD patients lacking additional MDP. No significant between-group differences were detected in terms of treatment outcome. Conclusions The fact that the employment of additional MDP was not related to better treatment outcome in MDD represents our major and clinically most relevant finding. Generally, MDP was employed in a minority of our patients who experienced rather beneficial socio-demographic and clinical characteristics. This might reflect an inferior accessibility of these psychotherapeutic techniques for patients who are more severely ill and less socio-economically privileged. Disclosure References 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 disor
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Pain O, Hodgson K, Trubetskoy V, Ripke S, Marshe VS, Adams MJ, Byrne EM, Campos AI, Carrillo-Roa T, Cattaneo A, Als TD, Souery D, Dernovsek MZ, Fabbri C, Hayward C, Henigsberg N, Hauser J, Kennedy JL, Lenze EJ, Lewis G, Müller DJ, Martin NG, Mulsant BH, Mors O, Perroud N, Porteous DJ, Rentería ME, Reynolds CF, Rietschel M, Uher R, Wigmore EM, Maier W, Wray NR, Aitchison KJ, Arolt V, Baune BT, Biernacka JM, Bondolfi G, Domschke K, Kato M, Li QS, Liu YL, Serretti A, Tsai SJ, Turecki G, Weinshilboum R, McIntosh AM, Lewis CM, Kasper S, Zohar J, Souery D, Montgomery S, Albani D, Forloni G, Ferentinos P, Rujescu D, Mendlewicz J, Wray NR, Ripke S, Mattheisen M, Trzaskowski M, Byrne EM, Abdellaoui A, Adams MJ, Agerbo E, Air TM, Andlauer TF, Bacanu SA, Bækvad-Hansen M, Beekman AT, Bigdeli TB, Binder EB, Bryois J, Buttenschøn HN, Bybjerg-Grauholm J, Cai N, Castelao E, Christensen JH, Clarke TK, Coleman JR, Colodro-Conde L, Couvy-Duchesne B, Craddock N, Crawford GE, Davies G, Deary IJ, Degenhardt F, Derks EM, Direk N, Dolan CV, Dunn EC, Eley TC, Escott-Price V, Hassan Kiadeh FF, Finucane HK, Foo JC, Forstner AJ, Frank J, Gaspar HA, Gill M, Goes FS, Gordon SD, Grove J, Hall LS, Hansen CS, Hansen TF, Herms S, Hickie IB, Hoffmann P, Homuth G, Horn C, Hottenga JJ, Hougaard DM, Howard DM, Ising M, Jansen R, Jones I, Jones LA, Jorgenson E, Knowles JA, Kohane IS, Kraft J, Kretzschmar WW, Kutalik Z, Li Y, Lind PA, MacIntyre DJ, MacKinnon DF, Maier RM, Maier W, Marchini J, Mbarek H, McGrath P, McGuffin P, Medland SE, Mehta D, Middeldorp CM, Mihailov E, Milaneschi Y, Milani L, Mondimore FM, Montgomery GW, Mostafavi S, Mullins N, Nauck M, Ng B, Nivard MG, Nyholt DR, O’Reilly PF, Oskarsson H, Owen MJ, Painter JN, Pedersen CB, Pedersen MG, Peterson RE, Peyrot WJ, Pistis G, Posthuma D, Quiroz JA, Qvist P, Rice JP, Riley BP, Rivera M, Mirza SS, Schoevers R, Schulte EC, Shen L, Shi J, Shyn SI, Sigurdsson E, Sinnamon GC, Smit JH, Smith DJ, Stefansson H, Steinberg S, Streit F, Strohmaier J, Tansey KE, Teismann H, Teumer A, Thompson W, Thomson PA, Thorgeirsson TE, Traylor M, Treutlein J, Trubetskoy V, Uitterlinden AG, Umbricht D, Van der Auwera S, van Hemert AM, Viktorin A, Visscher PM, Wang Y, Webb BT, Weinsheimer SM, Wellmann J, Willemsen G, Witt SH, Wu Y, Xi HS, Yang J, Zhang F, Arolt V, Baune BT, Berger K, Boomsma DI, Cichon S, Dannlowski U, de Geus E, DePaulo JR, Domenici E, Domschke K, Esko T, Grabe HJ, Hamilton SP, Hayward C, Heath AC, Kendler KS, Kloiber S, Lewis G, Li QS, Lucae S, Madden PA, Magnusson PK, Martin NG, McIntosh AM, Metspalu A, Mors O, Mortensen PB, Müller-Myhsok B, Nordentoft M, Nöthen MM, O’Donovan MC, Paciga SA, Pedersen NL, Penninx BW, Perlis RH, Porteous DJ, Potash JB, Preisig M, Rietschel M, Schaefer C, Schulze TG, Smoller JW, Stefansson K, Tiemeier H, Uher R, Völzke H, Weissman MM, Werge T, Lewis CM, Levinson DF, Breen G, Børglum AD, Sullivan PF. Identifying the Common Genetic Basis of Antidepressant Response. Biol Psychiatry Glob Open Sci 2022; 2:115-126. [PMID: 35712048 PMCID: PMC9117153 DOI: 10.1016/j.bpsgos.2021.07.008] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 07/15/2021] [Accepted: 07/19/2021] [Indexed: 01/20/2023] Open
Abstract
Background Antidepressants are a first-line treatment for depression. However, only a third of individuals experience remission after the first treatment. Common genetic variation, in part, likely regulates antidepressant response, yet the success of previous genome-wide association studies has been limited by sample size. This study performs the largest genetic analysis of prospectively assessed antidepressant response in major depressive disorder to gain insight into the underlying biology and enable out-of-sample prediction. Methods Genome-wide analysis of remission (n remit = 1852, n nonremit = 3299) and percentage improvement (n = 5218) was performed. Single nucleotide polymorphism-based heritability was estimated using genome-wide complex trait analysis. Genetic covariance with eight mental health phenotypes was estimated using polygenic scores/AVENGEME. Out-of-sample prediction of antidepressant response polygenic scores was assessed. Gene-level association analysis was performed using MAGMA and transcriptome-wide association study. Tissue, pathway, and drug binding enrichment were estimated using MAGMA. Results Neither genome-wide association study identified genome-wide significant associations. Single nucleotide polymorphism-based heritability was significantly different from zero for remission (h 2 = 0.132, SE = 0.056) but not for percentage improvement (h 2 = -0.018, SE = 0.032). Better antidepressant response was negatively associated with genetic risk for schizophrenia and positively associated with genetic propensity for educational attainment. Leave-one-out validation of antidepressant response polygenic scores demonstrated significant evidence of out-of-sample prediction, though results varied in external cohorts. Gene-based analyses identified ETV4 and DHX8 as significantly associated with antidepressant response. Conclusions This study demonstrates that antidepressant response is influenced by common genetic variation, has a genetic overlap schizophrenia and educational attainment, and provides a useful resource for future research. Larger sample sizes are required to attain the potential of genetics for understanding and predicting antidepressant response.
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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Fanelli G, Domschke K, Minelli A, Gennarelli M, Martini P, Bortolomasi M, Maron E, Squassina A, Kasper S, Zohar J, Souery D, Montgomery S, Albani D, Forloni G, Ferentinos P, Rujescu D, Mendlewicz J, De Ronchi D, Baune BT, Serretti A, Fabbri C. A meta-analysis of polygenic risk scores for mood disorders, neuroticism, and schizophrenia in antidepressant response. Eur Neuropsychopharmacol 2022; 55:86-95. [PMID: 34844152 DOI: 10.1016/j.euroneuro.2021.11.005] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Revised: 11/04/2021] [Accepted: 11/09/2021] [Indexed: 12/28/2022]
Abstract
About two-thirds of patients with major depressive disorder (MDD) fail to achieve symptom remission after the initial antidepressant treatment. Despite a role of genetic factors was proven, the specific underpinnings are not fully understood yet. Polygenic risk scores (PRSs), which summarise the additive effect of multiple risk variants across the genome, might provide insights into the underlying genetics. This study aims to investigate the possible association of PRSs for bipolar disorder, MDD, neuroticism, and schizophrenia (SCZ) with antidepressant non-response or non-remission in patients with MDD. PRSs were calculated at eight genome-wide P-thresholds based on publicly available summary statistics of the largest genome-wide association studies. Logistic regressions were performed between PRSs and non-response or non-remission in six European clinical samples, adjusting for age, sex, baseline symptom severity, recruitment sites, and population stratification. Results were meta-analysed across samples, including up to 3,637 individuals. Bonferroni correction was applied. In the meta-analysis, no result was significant after Bonferroni correction. The top result was found for MDD-PRS and non-remission (p = 0.004), with patients in the highest vs. lowest PRS quintile being more likely not to achieve remission (OR=1.5, 95% CI=1.11-1.98, p = 0.007). Nominal associations were also found between MDD-PRS and non-response (p = 0.013), as well as between SCZ-PRS and non-remission (p = 0.035). Although PRSs are still not able to predict non-response or non-remission, our results are in line with previous works; methodological improvements in PRSs calculation may improve their predictive performance and have a meaningful role in precision psychiatry.
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Affiliation(s)
- 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
| | - Katharina Domschke
- Department of Psychiatry and Psychotherapy, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Alessandra Minelli
- Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy; Genetics Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Massimo Gennarelli
- Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy; Genetics Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Paolo Martini
- Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | | | - Eduard Maron
- Department of Psychiatry, University of Tartu, Tartu, Estonia; Psychiatric Clinic, West Tallinn Central Hospital, Tallinn, Estonia; Centre for Neuropsychopharmacology, Division of Brain Sciences, Imperial College London, London, UK
| | - Alessio Squassina
- Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy
| | - Siegfried Kasper
- Department of Psychiatry and Psychotherapy, Medical University Vienna, Vienna, Austria
| | - Joseph Zohar
- Department of Psychiatry, Sheba Medical Center, Tel Hashomer, and Sackler School of Medicine, Tel Aviv University, Tel Hashomer, Israel
| | - Daniel Souery
- Laboratoire de Psychologie Médicale, Université Libre de Bruxelles and Psy Pluriel, Centre Européen de Psychologie Médicale, Brussels, Belgium
| | | | - Diego Albani
- Laboratory of Biology of Neurodegenerative Disorders, Department of Neuroscience, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Gianluigi Forloni
- Laboratory of Biology of Neurodegenerative Disorders, Department of Neuroscience, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | | | - Dan Rujescu
- Department of Psychiatry and Psychotherapy, Medical University Vienna, Vienna, Austria
| | | | - Diana De Ronchi
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Bernhard T Baune
- Department of Psychiatry and Psychotherapy, University of Münster, Münster, Germany; Department of Psychiatry, Melbourne Medical School, University of Melbourne, Parkville, VIC, Australia; The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Alessandro Serretti
- 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, UK
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11
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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Fanelli G, Sokolowski M, Wasserman D, Kasper S, Zohar J, Souery D, Montgomery S, Albani D, Forloni G, Ferentinos P, Rujescu D, Mendlewicz J, De Ronchi D, Serretti A, Fabbri C. Polygenic risk scores for neuropsychiatric, inflammatory, and cardio-metabolic traits highlight possible genetic overlap with suicide attempt and treatment-emergent suicidal ideation. Am J Med Genet B Neuropsychiatr Genet 2022; 189:74-85. [PMID: 35191176 PMCID: PMC9305542 DOI: 10.1002/ajmg.b.32891] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 10/01/2021] [Accepted: 01/31/2022] [Indexed: 12/11/2022]
Abstract
Suicide is the second cause of death among youths. Genetics may contribute to suicidal phenotypes and their co-occurrence in other neuropsychiatric and medical conditions. Our study aimed to investigate the association of polygenic risk scores (PRSs) for 24 neuropsychiatric, inflammatory, and cardio-metabolic traits/diseases with suicide attempt (SA) or treatment-worsening/emergent suicidal ideation (TWESI). PRSs were computed based on summary statistics of genome-wide association studies. Regression analyses were performed between PRSs and SA or TWESI in four clinical cohorts. Results were then meta-analyzed across samples, including a total of 688 patients with SA (Neff = 2,258) and 214 with TWESI (Neff = 785). Stratified genetic covariance analyses were performed to investigate functionally cross-phenotype PRS associations. After Bonferroni correction, PRS for major depressive disorder (MDD) was associated with SA (OR = 1.24; 95% CI = 1.11-1.38; p = 1.73 × 10-4 ). Nominal associations were shown between PRSs for coronary artery disease (CAD) (p = 4.6 × 10-3 ), loneliness (p = .009), or chronic pain (p = .016) and SA, PRSs for MDD or CAD and TWESI (p = .043 and p = .032, respectively). Genetic covariance between MDD and SA was shown in 86 gene sets related to drugs having antisuicidal effects. A higher genetic liability for MDD may underlie a higher SA risk. Further, but milder, possible modulatory factors are genetic risk for loneliness and CAD.
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Affiliation(s)
- Giuseppe Fanelli
- Department of Biomedical and Neuromotor SciencesUniversity of BolognaBolognaItaly,Department of Human GeneticsRadboud University Medical Center, Donders Institute for Brain, Cognition and BehaviourNijmegenThe Netherlands
| | - Marcus Sokolowski
- National Centre for Suicide Research and Prevention of Mental Ill‐Health (NASP)Karolinska InstituteStockholmSweden
| | - Danuta Wasserman
- National Centre for Suicide Research and Prevention of Mental Ill‐Health (NASP)Karolinska InstituteStockholmSweden
| | | | - Siegfried Kasper
- Department of Psychiatry and PsychotherapyMedical University ViennaViennaAustria
| | - Joseph Zohar
- Department of PsychiatrySheba Medical Center, Tel Hashomer, and Sackler School of Medicine, Tel Aviv UniversityTel HashomerIsrael
| | - Daniel Souery
- Laboratoire de Psychologie MédicaleUniversité Libre de Bruxelles and Psy Pluriel, Centre Européen de Psychologie MédicaleBrusselsBelgium
| | | | - Diego Albani
- Laboratory of Biology of Neurodegenerative DisordersDepartment of Neuroscience, Istituto di Ricerche Farmacologiche Mario Negri IRCCSMilanItaly
| | - Gianluigi Forloni
- Laboratory of Biology of Neurodegenerative DisordersDepartment of Neuroscience, Istituto di Ricerche Farmacologiche Mario Negri IRCCSMilanItaly
| | | | - Dan Rujescu
- University Clinic for PsychiatryPsychotherapy and Psychosomatic, Martin‐Luther‐University, Halle‐WittenbergGermany
| | | | - Diana De Ronchi
- Department of Biomedical and Neuromotor SciencesUniversity of BolognaBolognaItaly
| | - Alessandro Serretti
- Department of Biomedical and Neuromotor SciencesUniversity of BolognaBolognaItaly
| | - Chiara Fabbri
- Department of Biomedical and Neuromotor SciencesUniversity of BolognaBolognaItaly,Social, Genetic & Developmental Psychiatry CentreInstitute of Psychiatry, Psychology & Neuroscience, King's College LondonLondonUK
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Fugger G, Bartova L, Fabbri C, Fanelli G, Dold M, Swoboda MMM, Kautzky A, Zohar J, Souery D, Mendlewicz J, Montgomery S, Rujescu D, Serretti A, Kasper S. The sociodemographic and clinical profile of patients with major depressive disorder receiving SSRIs as first-line antidepressant treatment in European countries. Eur Arch Psychiatry Clin Neurosci 2022; 272:715-727. [PMID: 34989830 PMCID: PMC9095529 DOI: 10.1007/s00406-021-01368-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2021] [Accepted: 11/29/2021] [Indexed: 12/11/2022]
Abstract
INTRODUCTION Due to favorable antidepressant (AD) efficacy and tolerability, selective-serotonin reuptake inhibitors (SSRIs) are consistently recommended as substances of first choice for the treatment of major depressive disorder (MDD) in international guidelines. However, little is known about the real-world clinical correlates of patients primarily prescribed SSRIs in contrast to those receiving alternative first-line ADs. METHODS These secondary analyses are based on a naturalistic, multinational cross-sectional study conducted by the European Group for the Study of Resistant Depression at ten research sites. We compared the socio-demographic and clinical characteristics of 1410 patients with primary MDD, who were either prescribed SSRIs or alternative substances as first-line AD treatment, using chi-squared tests, analyses of covariance, and logistic regression analyses. RESULTS SSRIs were prescribed in 52.1% of MDD patients who showed lower odds for unemployment, current severity of depressive symptoms, melancholic features, suicidality, as well as current inpatient treatment compared to patients receiving alternative first-line ADs. Furthermore, patients prescribed SSRIs less likely received add-on therapies including AD combination and augmentation with antipsychotics, and exhibited a trend towards higher response rates. CONCLUSION A more favorable socio-demographic and clinical profile associated with SSRIs in contrast to alternative first-line ADs may have guided European psychiatrists' treatment choice for SSRIs, rather than any relevant pharmacological differences in mechanisms of action of the investigated ADs. Our results must be cautiously interpreted in light of predictable biases resulting from the open treatment selection, the possible allocation of less severely ill patients to SSRIs as well as the cross-sectional study design that does not allow to ascertain any causal conclusions.
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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
| | - 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, London, UK
| | - 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
| | - 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
| | - Joseph Zohar
- Psychiatric Division, Chaim Sheba Medical Center, Tel Hashomer, Ramat Gan, 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, UK
| | - 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, Spitalgasse 4, 1090, Vienna, Austria.
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Bartova L, Fugger G, Dold M, Kautzky A, Swoboda MMM, Rujescu D, Zohar J, Souery D, Mendlewicz J, Montgomery S, Fabbri C, Serretti A, Kasper S. The Choice of Either Quetiapine or Aripiprazole as Augmentation Treatment in a European Naturalistic Sample of Patients With Major Depressive Disorder. Int J Neuropsychopharmacol 2021; 25:118-127. [PMID: 34637516 PMCID: PMC8832223 DOI: 10.1093/ijnp/pyab066] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2021] [Revised: 08/30/2021] [Accepted: 11/11/2021] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Augmentation with second-generation antipsychotics (SGAs) represents an evidence-based psychopharmacotherapeutic strategy recommended in case of insufficient response to the first-line antidepressant (AD) treatment in major depressive disorder (MDD). Comparative evidence regarding efficacy and prescription preferences of the individual SGAs is scarce. METHODS In the scope of this European, multi-site, naturalistic cross-sectional investigation with retrospective assessment of treatment outcome, we compared sociodemographic and clinical characteristics of 187 MDD patients receiving either quetiapine (n = 150) or aripiprazole (n = 37) as augmentation of their first-line AD psychopharmacotherapy. RESULTS Comorbid posttraumatic stress disorder and diabetes were significantly associated with aripiprazole augmentation in our primary and post-hoc binary logistic regression analyses. Furthermore, we identified an association between aripiprazole co-administration and the presence of additional psychotic features, higher rates of AD combination treatment, and a longer duration of psychiatric hospitalizations during the lifetime, which, however, lost significance after correcting for multiple comparisons. Regarding treatment outcome, we found a trend of higher response rates and greater reductions in severity of depressive symptoms in MDD patients dispensed quetiapine. CONCLUSIONS Factors associated with a more chronic and severe profile of MDD seem to encourage clinicians to choose aripiprazole over quetiapine, that was, however, administered in the majority of our MDD patients, which might reflect the current approval situation allowing to prescribe exclusively quetiapine as on-label augmentation in MDD in Europe. Given the retrospective assessment of treatment response, the markedly smaller proportion of patients receiving aripiprazole augmentation generally showing an unfavorable disease profile, and the partially heterogeneous statistical robustness of our findings, further studies are required to elaborate on our observation and to generate unambiguous recommendations regarding the choice of first-line SGA augmentation in MDD.
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Affiliation(s)
- Lucie Bartova
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna,Austria,Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna,Italy
| | - Gernot Fugger
- 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
| | - 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
| | - 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 and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College 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,Correspondence: Siegfried Kasper, MD, Professor Emeritus, Center for Brain Research, Medical University of Vienna, Spitalgasse 4, A-1090 Vienna, Austria ()
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15
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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16
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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17
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Dold M, Bartova L, Fugger G, Kautzky A, Mitschek MMM, Fabbri C, Montgomery S, Zohar J, Souery D, Mendlewicz J, Serretti A, Kasper S. Melancholic features in major depression - a European multicenter study. Prog Neuropsychopharmacol Biol Psychiatry 2021; 110:110285. [PMID: 33609603 DOI: 10.1016/j.pnpbp.2021.110285] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Revised: 01/31/2021] [Accepted: 02/12/2021] [Indexed: 10/22/2022]
Abstract
There is still a debate, if melancholic symptoms can be seen rather as a more severe subtype of major depressive disorder (MDD) or as a separate diagnostic entity. The present European multicenter study comprising altogether 1410 MDD in- and outpatients sought to investigate the influence of the presence of melancholic features in MDD patients. Analyses of covariance, chi-squared tests, and binary logistic regression analyses were accomplished to determine differences in socio-demographic and clinical variables between MDD patients with and without melancholia. We found a prevalence rate of 60.71% for melancholic features in MDD. Compared to non-melancholic MDD patients, they were characterized by a significantly higher likelihood for higher weight, unemployment, psychotic features, suicide risk, inpatient treatment, severe depressive symptoms, receiving add-on medication strategies in general, and adjunctive treatment with antidepressants, antipsychotics, benzodiazepine (BZD)/BZD-like drugs, low-potency antipsychotics, and pregabalin in particular. With regard to the antidepressant pharmacotherapy, we found a less frequent prescription of selective serotonin reuptake inhibitors (SSRIs) in melancholic MDD. No significant between-group differences were found for treatment response, non-response, and resistance. In summary, we explored primarily variables to be associated with melancholia which can be regarded as parameters for the presence of severe/difficult-to treat MDD conditions. Even if there is no evidence to realize any specific treatment strategy in melancholic MDD patients, their prescribed medication strategies were different from those for patients without melancholia.
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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
| | - Alexander Kautzky
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Marleen M M Mitschek
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Chiara Fabbri
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom
| | | | - 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
| | | | - 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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18
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Calabrò M, Fabbri C, Kasper S, Zohar J, Souery D, Montgomery S, Albani D, Forloni G, Ferentinos P, Rujescu D, Mendlewicz J, Colombo R, De Ronchi D, Serretti A, Crisafulli C. Research Domain Criteria (RDoC): A Perspective to Probe the Biological Background behind Treatment Efficacy in Depression. Curr Med Chem 2021; 28:4296-4320. [PMID: 33397226 DOI: 10.2174/0929867328666210104104938] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Revised: 10/27/2020] [Accepted: 11/03/2020] [Indexed: 11/22/2022]
Abstract
BACKGROUND Major Depressive Disorder(MDD) and its frequent partial response to antidepressants are a major health concern and therefore an important focus of research. Despite the efforts, MDD pathogenesis and the mechanisms of antidepressant action are only partially understood. In the last few years, the need of rethinking the classification of depressive disorders and psychiatric disorders, in general, has been suggested, in order to provide a nosology that reflects more closely the biological background associated with disease pathogenesis and its role/significance in treatment. The classification proposed by the National Institute of Mental Health (NIMH), namely the research domain criteria (RDoC), may represent a key framework to guide research in this direction. METHODS A literature search was performed on PubMed and Google Scholar databases in order to retrieve data regarding Antidepressants effects on specific RDoC constructs. Further, the targets of drugs of interest were identified through the Drug bank database, and their possible function within RDoC constructs was discussed. DISCUSSION In this review, we summarize and discuss the significance of the results of pre-clinical and clinical studies investigating specific RDoC paradigms relevant to depressive phenotypes and antidepressant effects. CONCLUSION The RDoC framework may facilitate a more specific use of antidepressants based on the individual's spectrum of symptoms and the development of new compounds that target specific depressive symptoms.
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Affiliation(s)
- Marco Calabrò
- Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Messina, Italy
| | - Chiara Fabbri
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy
| | - Siegfried Kasper
- Department of Psychiatry and Psychotherapy, Medical University Vienna, Vienna, Austria
| | - Joseph Zohar
- Department of Psychiatry, Sheba Medical Center, Tel Hashomer, and Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Daniel Souery
- Laboratoire de Psychologie Medicale, Universite Libre de Bruxelles and Psy Pluriel, Centre Europeen de Psychologie Medicale, Brussels, Belgium
| | | | - Diego Albani
- Laboratory of Biology of Neurodegenerative Disorders, Neuroscience Department, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Gianluigi Forloni
- Laboratory of Biology of Neurodegenerative Disorders, Neuroscience Department, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | | | - Dan Rujescu
- University Clinic for Psychiatry, Psychotherapy and Psychosomatic, Martin-Luther-University Halle-Wittenberg, Halle, Germany
| | | | - Roberto Colombo
- Fondazione Policlinico Universitario "A. Gemelli" - IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Diana De Ronchi
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy
| | - Alessandro Serretti
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy
| | - Concetta Crisafulli
- Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Messina, Italy
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19
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Fanelli G, Benedetti F, Kasper S, Zohar J, Souery D, Montgomery S, Albani D, Forloni G, Ferentinos P, Rujescu D, Mendlewicz J, Serretti A, Fabbri C. Higher polygenic risk scores for schizophrenia may be suggestive of treatment non-response in major depressive disorder. Prog Neuropsychopharmacol Biol Psychiatry 2021; 108:110170. [PMID: 33181205 DOI: 10.1016/j.pnpbp.2020.110170] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 10/22/2020] [Accepted: 11/04/2020] [Indexed: 02/06/2023]
Abstract
Up to 60% of patients with major depressive disorder (MDD) do not respond to the first treatment with antidepressants. Response to antidepressants is a polygenic trait, although its underpinning genetics has not been fully clarified. This study aimed to investigate if polygenic risk scores (PRSs) for major psychiatric disorders and trait neuroticism (NEU) were associated with non-response or resistance to antidepressants in MDD. PRSs for bipolar disorder, MDD, NEU, and schizophrenia (SCZ) were computed in 1,148 patients with MDD. Summary statistics from the largest meta-analyses of genome-wide association studies were used as base data. Patients were classified as responders, non-responders to one treatment, non-responders to two or more treatments (treatment-resistant depression or TRD). Regression analyses were adjusted for population stratification and recruitment sites. PRSs did not predict either non-response vs response or TRD vs response after Bonferroni correction. However, SCZ-PRS was nominally associated with non-response (p = 0.003). Patients in the highest SCZ-PRS quintile were more likely to be non-responders than those in the lowest quintile (OR = 2.23, 95% CI = 1.21-4.10, p = 0.02). Patients in the lowest SCZ-PRS quintile showed higher response rates when they did not receive augmentation with second-generation antipsychotics (SGAs), while those in the highest SCZ-PRS quintile had a poor response independently from the treatment strategy (p = 0.009). A higher genetic liability to SCZ may reduce treatment response in MDD, and patients with low SCZ-PRSs may show higher response rates without SGA augmentation. Multivariate approaches and methodological refinements will be necessary before clinical implementations of PRSs.
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Affiliation(s)
- Giuseppe Fanelli
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Francesco Benedetti
- Vita-Salute San Raffaele University, Milan, Italy; Psychiatry and Clinical Psychobiology Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Siegfried Kasper
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Joseph Zohar
- Department of Psychiatry, Sheba Medical Center, Tel Hashomer, and Sackler School of Medicine, Tel Aviv University, Tel Hashomer, Israel
| | - Daniel Souery
- Laboratoire de Psychologie Médicale, Université Libre de Bruxelles and Psy Pluriel, Centre Européen de Psychologie Médicale, Brussels, Belgium
| | | | - Diego Albani
- Laboratory of Biology of Neurodegenerative Disorders, Department of Neuroscience, IRCCS Mario Negri Institute for Pharmacological Research, Milan, Italy
| | - Gianluigi Forloni
- Laboratory of Biology of Neurodegenerative Disorders, Department of Neuroscience, IRCCS Mario Negri Institute for Pharmacological Research, Milan, Italy
| | | | - Dan Rujescu
- University Clinic for Psychiatry, Psychotherapy and Psychosomatic, Martin-Luther-University, Halle-Wittenberg, Germany
| | | | - Alessandro Serretti
- 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, UK
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20
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Bartova L, Dold M, Fugger G, Kautzky A, Mitschek MMM, Weidenauer A, Handschuh PA, Frey R, Mandelli L, Zohar J, Mendlewicz J, Souery D, Montgomery S, Fabbri C, Serretti A, Kasper S. The Role of Relationship Status in Major Depressive Disorder - Results of the European Group for the Study of Resistant Depression. J Affect Disord 2021; 286:149-157. [PMID: 33725614 DOI: 10.1016/j.jad.2021.02.070] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2021] [Revised: 02/17/2021] [Accepted: 02/25/2021] [Indexed: 12/21/2022]
Abstract
BACKGROUND While the association between relationship status and the development of depressive symptoms in the general population were reported previously, its relation to the severity and the course of major depressive disorder (MDD) as well as the treatment patterns and response rates needs to be elucidated. METHODS The present international multicenter cross-sectional study performed by the European Group for the Study of Resistant Depression (GSRD) investigated socio-demographic and clinical patterns of relationship status in a real-world sample of 1410 adult in- and outpatients with MDD as primary diagnosis. RESULTS While 49.9% of all MDD patients were partnered, 25.4% were separated, and 24.8% were single. Single relationship status was linked to younger mean age, earlier mean age of onset, and current suicidal risk. Being separated was related to older mean age, unemployment, greater symptom severity, current suicidal risk, and add-on treatment strategies. Partnered relationship status was associated with less frequent current suicidal risk. LIMITATIONS The retrospective assessment of treatment response that was exclusively based on psychopharmacotherapeutic strategies should be critically considered and weighed while interpreting the present results providing novel insights into the complex interaction of relationship status with the clinical phenotype of MDD. CONCLUSIONS Although MDD patients living in relationships do not seem to be omitted from the evolution of MDD, they may be spared from chronicity and suicidality. Hence, being aware of the current relationship status might support clinicians in the diagnostic and therapeutic process towards optimized management of such challenging clinical phenomena and their negative consequences.
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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
| | - Gernot Fugger
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Alexander Kautzky
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | | | - Ana Weidenauer
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | | | - Richard Frey
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Laura Mandelli
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy
| | - 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, 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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21
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Crisafulli C, Calabrò M, Mandelli L, Wang SM, Lee SJ, Han C, Patkar A, Masand P, Pae CU, Souery D, Mendlewicz J, Serretti A. Possible Modulatory Role of ARC Gene Variants in Mood Disorders. Clin Psychopharmacol Neurosci 2021; 19:46-52. [PMID: 33508787 PMCID: PMC7851469 DOI: 10.9758/cpn.2021.19.1.46] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/20/2019] [Accepted: 07/29/2019] [Indexed: 11/23/2022]
Abstract
OBJECTIVE The genetic background of mood disorders is gradually emerging through the use of large multicenter samples but a detailed phenotyping is complementary in elucidating the role of modulating variants. METHODS In the present paper we focused on the possible modulatory effects of ARC gene variants on two independent mood disorder samples of European (n = 246 bipolar disorder) and Korean (n = 132 bipolar disorder; n = 242 major depressive disorder [MDD]) ancestry. RESULTS No result survived Bonferroni correction, however we evidenced promising trend toward possible association between ARC gene variants and mood disorder phenotypes. In particular, we evidenced weak correlations of ARC single nucleotide polymorphisms with depressive symptoms severity (evaluated through Hamilton depression rating scale scores) in the MDD Korean (rs7465272) and European (rs11167152) samples. Additionally rs10110456 was found to be related to Family History, while rs7465272 was related to suicide risk in the Korean sample. Finally, rs7465272 was associated with body mass index in the European sample. CONCLUSION Overall, ARC gene variants may have a partial role in modulatory effect on treatment efficacy or phenotypes of mood disorders. Further studies, on larger samples may provide a better understanding on the role of ARC gene variants in the symptom severity and treatment outcomes in patients with mood disorders.
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Affiliation(s)
- Concetta Crisafulli
- Department of Biomedical and Dental Sciences and Morphofunctional Images, University of Messina, Messina, Italy
| | - Marco Calabrò
- Department of Biomedical and Dental Sciences and Morphofunctional Images, University of Messina, Messina, Italy
| | - Laura Mandelli
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy
| | - Sheng-Min Wang
- Department of Psychiatry, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Soo-Jung Lee
- Department of Psychiatry, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Changsu Han
- Department of Psychiatry, Korea University College of Medicine, Seoul, Korea
| | - Ashwin Patkar
- Department of Psychiatry and Behavioural Sciences, Rush University Medical Center, Chicago, IL, USA
| | | | - Chi-Un Pae
- Department of Psychiatry, College of Medicine, The Catholic University of Korea, Seoul, Korea
- Cell Death Disease Research Center, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Daniel Souery
- Centre Européen de Psychologie Medicale, Laboratoire de Psychologie Medicale, Universitè Libre de Bruxelles and Psy Pluriel, Brussels, Belgium
| | - Julien Mendlewicz
- Department of Psychiatry, Universitè Libre de Bruxelles, Brussels, Belgium
| | - Alessandro Serretti
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy
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Fabbri C, Kasper S, Zohar J, Souery D, Montgomery S, Albani D, Forloni G, Ferentinos P, Rujescu D, Mendlewicz J, Serretti A, Lewis CM. Cost-effectiveness of genetic and clinical predictors for choosing combined psychotherapy and pharmacotherapy in major depression. J Affect Disord 2021; 279:722-729. [PMID: 33217644 DOI: 10.1016/j.jad.2020.10.049] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Revised: 09/09/2020] [Accepted: 10/25/2020] [Indexed: 01/02/2023]
Abstract
BACKGROUND Predictors of treatment outcome in major depressive disorder (MDD) could contribute to evidence-based therapeutic choices. Combined pharmacotherapy and psychotherapy show increased efficacy but higher cost compared with antidepressant pharmacotherapy; baseline predictors of pharmacotherapy resistance could be used to identify patients more likely to benefit from combined treatment. METHODS We performed a proof-of-principle study of the cost-effectiveness of using previously identified pharmacogenetic and clinical risk factors (PGx-CL-R) of antidepressant resistance or clinical risk factors alone (CL-R) to guide the prescription of combined pharmacotherapy and psychotherapy vs pharmacotherapy. The cost-effectiveness of these two strategies was compared with standard care (ST, pharmacotherapy to all subjects) using a three-year Markov model. Model parameters were literature-based estimates of response to pharmacotherapy and combined treatment, costs (UK National Health System) and benefits (quality-adjusted life years [QALYs], one QALY=one year lived in perfect health). RESULTS CL-R was more cost-effective than PGx-CL-R: the cost of one-QALY improvement was £2341 for CL-R and £3937 for PGx-CL-R compared to ST. PGx-CL-R had similar or better cost-effectiveness compared to CL-R when 1) the cost of genotyping was £100 per subject or less or 2) the PGx-CL-R test had sensitivity ≥ 0.90 and specificity ≥ 0.85. The cost of one-QALY improvement for CL-R was £3664 and of £4110 in two independent samples. LIMITATIONS lack of validation in large samples from the general population. CONCLUSIONS Using clinical risk factors to predict pharmacotherapy resistance and guide the prescription of pharmacotherapy combined with psychotherapy could be a cost-effective strategy.
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Affiliation(s)
- Chiara Fabbri
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom.
| | - Siegfried Kasper
- Department of Psychiatry and Psychotherapy, Medical University Vienna, Austria
| | - Joseph Zohar
- Department of Psychiatry, Sheba Medical Center, Tel Hashomer, and Sackler School of Medicine, Tel Aviv University, Israel
| | - Daniel Souery
- Laboratoire de Psychologie Medicale, Universitè Libre de Bruxelles and Psy Pluriel, Centre Européen de Psychologie Medicale, Brussels
| | | | - Diego Albani
- Laboratory of Biology of Neurodegenerative Disorders, Neuroscience Department, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Gianluigi Forloni
- Laboratory of Biology of Neurodegenerative Disorders, Neuroscience Department, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | | | - Dan Rujescu
- University Clinic for Psychiatry, Psychotherapy and Psychosomatic, Martin-Luther-University Halle-Wittenberg, Germany
| | | | - Alessandro Serretti
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Italy
| | - Cathryn M Lewis
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
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Dold M, Bartova L, Fugger G, Mitschek MMM, Kautzky A, Frey R, Montgomery S, Zohar J, Mendlewicz J, Souery D, Fabbri C, Serretti A, Kasper S. Add-on benzodiazepine treatment in patients with major depressive disorder - results from a European cross-sectional multicenter study. Eur Neuropsychopharmacol 2020; 41:70-80. [PMID: 33046351 DOI: 10.1016/j.euroneuro.2020.09.636] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Revised: 09/12/2020] [Accepted: 09/21/2020] [Indexed: 12/14/2022]
Abstract
Since many patients with major depressive disorder (MDD) do not satisfactorily respond to initial antidepressant monotherapy, add-on treatment strategies with other psychiatric compounds are often established. The present European multicenter cross-sectional study comprising 1410 MDD in- and outpatients investigated the prescription pattern of benzodiazepines as add-on treatment in the psychopharmacotherapy of MDD. Analyses of variance, chi-squared tests, and logistic regression analyses were conducted to examine differences in socio-demographic, clinical, and treatment characteristics between benzodiazepine users and non-users. The prescription rate for adjunctive benzodiazepine treatment amounted to 31.35%. The most often administered benzodiazepines were lorazepam (11.13%), clonazepam (6.74%), and alprazolam (6.60%). Benzodiazepine users exhibited more severe depressive symptoms expressed by a higher mean Montgomery and Åsberg Depression Rating Scale total score at study entry (26.92 ± 11.07 vs 23.55 ± 11.23, p<.0001) and at the beginning of the current major depressive episode (35.74 ± 8.08 vs 33.31 ± 7.40, p<.0001). Furthermore, they were characterized by a higher proportion of patients receiving additional augmentation/combination medications with antidepressants (40.95% vs 24.28%, p<.0001), antipsychotics (41.63% vs 18.39%, p<.0001), and low-potency antipsychotics (10.18% vs 4.75%, p<.0001). Moreover, benzodiazepine prescription was associated with older age, unemployment, inpatient treatment, suicide risk, psychotic and melancholic features, comorbid panic disorder, agoraphobia, social phobia, and obsessive-compulsive disorder. Taken together, our findings indicate that benzodiazepine augmentation in MDD is first of all established in severe/difficult-to-treat conditions and serves as predictor for the use of additional augmentation/combination treatment strategies.
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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
| | | | - Alexander Kautzky
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Richard Frey
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Stuart Montgomery
- Imperial College School of Medicine, University of London, London, United Kingdom
| | - 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
| | - 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, Vienna, Austria; Center for Brain Research, Medical University of Vienna, Spitalgasse 4, A-1090 Vienna, Austria.
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Fugger G, Dold M, Bartova L, Mitschek MMM, Souery D, Mendlewicz J, Serretti A, Zohar J, Montgomery S, Fabbri C, Frey R, Kasper S. Clinical Correlates and Outcome of Major Depressive Disorder and Comorbid Migraine: A Report of the European Group for the Study of Resistant Depression. Int J Neuropsychopharmacol 2020; 23:571-577. [PMID: 32885810 PMCID: PMC7710912 DOI: 10.1093/ijnp/pyaa035] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Revised: 03/22/2020] [Accepted: 05/14/2020] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND The present multicenter study aimed at defining the clinical profile of patients with major depressive disorder (MDD) and comorbid migraine. METHODS Demographic and clinical information for 1410 MDD patients with vs without concurrent migraine were compared by descriptive statistics, analyses of covariance, and binary logistic regression analyses. RESULTS The point prevalence rate for comorbid migraine was 13.5% for female and 6.2% for male patients. MDD + migraine patients were significantly younger, heavier, more likely female, of non-Caucasian origin, outpatient, and suffering from asthma. The presence of MDD + migraine resulted in a significantly higher functional disability. First-line antidepressant treatment strategy revealed a trend towards agomelatine. Second-generation antipsychotics were significantly less often administered for augmentation treatment in migraineurs. Overall, MDD + migraine patients tended to respond worse to their pharmacotherapy. CONCLUSION Treatment guidelines for comorbid depression and migraine are warranted to ensure optimal efficacy and avoid possible pitfalls in psychopharmacotherapy, including serotonin syndrome.
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Affiliation(s)
- Gernot Fugger
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - 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
| | - Marleen M M Mitschek
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Daniel Souery
- Université Libre de Bruxelles, Bruxelles, Belgium,Psy Pluriel Centre Européen de Psychologie Médicale, Bruxelles, Belgium
| | | | - Alessandro Serretti
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy
| | - Joseph Zohar
- Psychiatric Division, Chaim Sheba Medical Center, Tel Hashomer, Israel
| | | | - 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
| | - Richard Frey
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Siegfried Kasper
- Center for Brain Research, Medical University of Vienna, Vienna, Austria,Correspondence: Siegfried Kasper, MD, Medical University of Vienna, Center for Brain Research, Spitalgasse 4, A-1090 Vienna, Austria ()
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Porcelli S, Kasper S, Zohar J, Souery D, Montgomery S, Ferentinos P, Rujescu D, Mendlewicz J, Merlo Pich E, Pollentier S, Penninx BWJH, Serretti A. Social dysfunction in mood disorders and schizophrenia: Clinical modulators in four independent samples. Prog Neuropsychopharmacol Biol Psychiatry 2020; 99:109835. [PMID: 31836507 DOI: 10.1016/j.pnpbp.2019.109835] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2019] [Revised: 11/25/2019] [Accepted: 12/05/2019] [Indexed: 12/21/2022]
Abstract
INTRODUCTION Social dysfunction is a common symptom of several neuropsychiatric disorders. However, only in the last few years research began to systematically investigate clinical aspects of this relevant outcome. Interestingly, its distribution and link with other clinical variables is still unclear. This study investigated social dysfunction in 4 different cohorts of patients affected by mood disorders and schizophrenia to evaluate 1) the degree of social dysfunction in these populations; 2) the associations among social dysfunction and socio-demographic and psychopathological features. METHODS Data from 4 independent studies (CATIE, GSRD ES1, ES2 and ES3, STAR*D, STEP-BD) were investigated. Behavioural and affective indicators of social dysfunction were derived and operationalized from scales or questionnaire items related to the interaction with relatives, friends and significant people in patients affected by schizophrenia (N = 765) and mood disorders (N = 2278 + 1954 + 1829). In particular the social dysfunction indicator was derived from Sheehan Disability Scale (SDS) for GSRD sample, from the Work and Social Adjustment Scale (WSAS) for STAR*D sample, from the Life-Range of Impaired Functioning Tool (LRIFT) for STEP-BD sample, and from the Quality of Life Scale (QOLS) for CATIE sample. The distribution of social dysfunction was described and association with socio-demographic and psychopathological characteristics were analysed. RESULTS Social dysfunction indicators showed a broad distribution in all samples investigated. Consistently across studies, social dysfunction was associated with higher psychopathological severity (all samples except CATIE) and suicide risk (GSRD ES1 and ES2, STAR*D, and STEP-BD) that explain up to 47% of the variance, but also to lower education level (GSRD ES2, STAR*D, CATIE, and STEP-BD), poorer professional/work status (GSRD ES2 and ES3, STAR*D, CATIE, and STEP-BD), marital status (STAR*D and CATIE), age (younger age in GSRD ES1 and STAR*D, older age in CATIE), higher BMI (GSRD ES2 and ES3, and STEP-BD), and smoking (GSRD ES2 and ES3). CONCLUSION Our results demonstrated that a significant percentage of patients affected by both mood disorders and schizophrenia shows relevant social dysfunction. Social dysfunction is related, but not completely explained by psychopathological severity. In several patients, it tends to persist also during remission state. Socio-demographic and lifestyle factors were also found to play a role and should therefore be taken into consideration in further studies investigating social dysfunction.
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Affiliation(s)
- Stefano Porcelli
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy.
| | - Siegfried Kasper
- Department of Psychiatry and Psychotherapy, Medical University Vienna, Austria
| | - Joseph Zohar
- Department of Psychiatry, Sheba Medical Center, Tel Hashomer, and Sackler School of Medicine, Tel Aviv University, Israel
| | - Daniel Souery
- Laboratoire de Psychologie Medicale, Universitè Libre de Bruxelles and Psy Pluriel, Centre Européen de Psychologie Medicale, Brussels, Belgium
| | | | | | - Dan Rujescu
- University Clinic for Psychiatry, Psychotherapy and Psychosomatic, Martin-Luther-University Halle-Wittenberg, Germany
| | | | - Emilio Merlo Pich
- Neuroscience Therapeutic Area Unit, Takeda Pharmaceutical International, Zurich, Switzerland; Imperial College School of Medicine, London, United Kingdom
| | - Stephane Pollentier
- Boehringer Ingelheim Pharma GmbH & Co KG, CNS Diseases Research, Biberach an der Riss, Germany
| | - Brenda W J H Penninx
- Department of Psychiatry, Amsterdam Neuroscience and Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit, Amsterdam, the Netherlands
| | - Alessandro Serretti
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy
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Charalabaki E, Bauwens F, Stefos G, Madianos MG, Mendlewicz J. Immigration and psychopathology: a clinical study. Eur Psychiatry 2020; 10:237-44. [DOI: 10.1016/0924-9338(96)80300-2] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/1994] [Accepted: 07/06/1994] [Indexed: 10/18/2022] Open
Abstract
SummaryThree groups of 342 Greek, Iberian and Belgian psychiatric patients were compared, matched for sex, age, and time of hospitalization in a university hospital in Brussels. Schizophrenia, schizoaffective disorder/atypical psychosis were diagnosed more among immigrant patients. Somatic anxiety, loss of libido, delusions and hallucinations were symptoms that clinicians observed more in immigrant than in native patients. Atypical symptomatology and change of diagnosis were more likely to occur among immigrant patients. A higher proportion of second generation immigrant patients had a diagnosis of schizophrenia than either the first generation or the Belgians. Male immigrant patients were prescribed anxiolytic drugs more frequently than male natives, but were less likely to be referred to psychotherapy. The authors query whether these findings derive from specificities in the use of psychiatric services and/or from biases in clinicians'attitudes towards patients of different ethnic origin.
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Abstract
SummaryThere is a high rate of depression in patients with medical or other psychiatric disorders. This comorbid depression is associated with an increased morbidity and mortality from medical illness, poor compliance with treatment, a worsening of somatic symptoms, and often a decrease in functional status. Several recent studies have demonstrated that comorbid depression is highly treatable and that effective treatment often enhances patients' adaptive coping with medical illness. However, when choosing antidepressant therapy, care must be taken to evaluate the patient's illness fully and to avoid potential drug-drug interactions and drug-related illness. This review investigates the use of antidepressants in depressed patients with medical and psychiatric disorders and their effect on prognosis and morbidity, and suggests that there is a place for the use of antidepressant medications in the treatment of comorbid conditions. Generally, the greater safety and tolerability of the selective serotonin reuptake inhibitors provides improved options for the treatment of depression in the medically and psychiatrically ill.
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Calabrò M, Porcelli S, Crisafulli C, Albani D, Kasper S, Zohar J, Souery D, Montgomery S, Mantovani V, Mendlewicz J, Bonassi S, Vieta E, Frustaci A, Ducci G, Landi S, Boccia S, Bellomo A, Di Nicola M, Janiri L, Colombo R, Benedetti F, Mandelli L, Fabbri C, Serretti A. Genetic variants associated with psychotic symptoms across psychiatric disorders. Neurosci Lett 2020; 720:134754. [PMID: 31945448 DOI: 10.1016/j.neulet.2020.134754] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2019] [Revised: 12/06/2019] [Accepted: 01/11/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND Recent evidence suggests that psychiatric symptoms share a common genetic liability across diagnostic categories. The present study investigated the effects of variants within previously identified relevant genes on specific symptom clusters, independently from the diagnosis. METHODS 1550 subjects affected by Schizophrenia (SCZ), Major Depressive Disorder or Bipolar Disorder were included. Symptoms were assessed using the Positive and Negative Syndrome Scale (PANSS) and the Hamilton Depression Rating Scale (HDRS). Principal component analysis and a further clinical refinement were used to define symptom clusters. Clusters scores were tested for association with 46 genetic variants within nine genes previously linked to one or more major psychiatric disorders by large genome wide association studies (ANK3, CACNA1C, CACNB2, FKBP5, FZD3, GRM7, ITIH3, SYNE1, TCF4). Exploratory analyses were performed in each disorder separately to further elucidate the SNPs effects. RESULTS five PANSS clusters (Negative; Impulsiveness; Cognitive; Psychotic; Depressive) and four HDRS clusters (Core Depressive; Somatic; Psychotic-like; Insomnia) were identified. CACNA1C rs11615998 was associated with HDRS Psychotic cluster in the whole sample. In the SCZ sample, CACNA1C rs11062296 was associated with PANSS Impulsiveness cluster and CACNA1C rs2238062 was associated with PANSS negative cluster. DISCUSSION CACNA1C rs11615998 was associated with psychotic symptoms (C-allele carriers have decreased psychotic-risk) independently from the diagnosis, in line with the evidence of a cross disorder effect of many risk variants. This gene was previously associated with SCZ and cross-disorder liability to psychiatric disorders. Our findings confirmed that deep phenotyping is pivotal to clarify the role of genetic variants on symptoms patterns.
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Affiliation(s)
- Marco Calabrò
- Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Italy
| | - Stefano Porcelli
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Italy
| | - Concetta Crisafulli
- Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Italy
| | - Diego Albani
- Laboratory of Biology of Neurodegenerative Disorders, Neuroscience Department, IRCCS Istituto di Ricerche Farmacologiche "Mario Negri", Milan, Italy
| | - Siegfried Kasper
- Department of Psychiatry and Psychotherapy, Medical University Vienna, Austria
| | - Joseph Zohar
- Department of Psychiatry, Sheba Medical Center, Tel Hashomer, and Sackler School of Medicine, Tel Aviv University, Israel
| | - Daniel Souery
- Laboratoire de Psychologie Medicale, Universitè Libre de Bruxelles and Psy Pluriel, Centre Européen de Psychologie Medicale, Brussels, Belgium
| | | | - Vilma Mantovani
- Center for Applied Biomedical Research (CRBA), St. Orsola University Hospital, Bologna, Italy
| | | | - Stefano Bonassi
- Unit of Clinical and Molecular Epidemiology, IRCCS San Raffaele Pisana, Rome, Italy; Department of Human Sciences and Quality of Life Promotion, San Raffaele University, Rome, Italy
| | - Eduard Vieta
- Bipolar Disorders Unit, Institute of Neuroscience, Hospital Clínic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Alessandra Frustaci
- Barnet, Enfield and Haringey Mental Health NHS Trust, St.Ann's Hospital, St.Ann's Road, N15 3 TH, London, UK
| | | | - Stefano Landi
- Dipartimento di Biologia, Università di Pisa, Pisa, Italy
| | - Stefania Boccia
- Sezione di Igiene, Istituto di Sanità Pubblica, Università Cattolica del Sacro Cuore, Roma, Italy; Department of Woman and Child Health and Public Health - Public Health Area, Fondazione Policlinico Universitario A. Gemelli IRCCS, Roma, Italy
| | - Antonello Bellomo
- Dipartimento di Medicina Clinica e Sperimentale, Foggia University, Italy
| | - Marco Di Nicola
- Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Luigi Janiri
- Faculty of Medicine "Agostino Gemelli", Catholic University of the Sacred Heart, Rome, Italy
| | - Roberto Colombo
- Division of Neuroscience, IRCCS Ospedale San Raffaele, Università Vita-Salute San Raffaele, Milan, Italy
| | - Francesco Benedetti
- Faculty of Medicine "Agostino Gemelli", Catholic University of the Sacred Heart, Rome, Italy
| | - Laura Mandelli
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Italy
| | - Chiara Fabbri
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Italy
| | - Alessandro Serretti
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Italy.
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Fugger G, Dold M, Bartova L, Kautzky A, Souery D, Mendlewicz J, Serretti A, Zohar J, Montgomery S, Frey R, Kasper S. Major Depression and Comorbid Diabetes - Findings from the European Group for the Study of Resistant Depression. Prog Neuropsychopharmacol Biol Psychiatry 2019; 94:109638. [PMID: 31054944 DOI: 10.1016/j.pnpbp.2019.109638] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2019] [Revised: 04/01/2019] [Accepted: 04/30/2019] [Indexed: 02/08/2023]
Abstract
OBJECTIVE The major aim of this multicenter study of the European Group for the Study of Resistant Depression (GSRD) was to elucidate associations between major depressive disorder (MDD) and comorbid diabetes. METHODS Demographic and clinical information of 1410 patients with a primary MDD diagnosis according to DSM-IV were retrieved cross-sectionally between 2012 and 2016. By applying descriptive statistics, analyses of covariance (ANCOVA) and binary logistic regression analyses, a comparison between patient characteristics with and without comorbid diabetes was performed. RESULTS The point prevalence rate for comorbid diabetes across MDD patients was 6%. Individuals with MDD + comorbid diabetes were significantly older, heavier, more likely to be inpatient and diagnosed with additional comorbid chronic somatic diseases. In addition, current suicide risk was significantly increased and melancholic features were more likely pronounced. In general, patients in the MDD + diabetes group received a combination therapy with at least one additional antidepressant rather than various other augmentation strategies. CONCLUSION Our analyses depict a lower prevalence rate of diabetes in MDD patients than previous studies. However, in light of the prevalence of diabetes in the geographical area of the study, we found an increased risk for individuals with depression compared to the general population. Current suicide risk is markedly elevated and has to be thoroughly assessed in every patient with comorbid diabetes. Depression severity and treatment response remained unaffected by concurrent diabetes in MDD.
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Affiliation(s)
- Gernot Fugger
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - 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
| | - Alexander Kautzky
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Daniel Souery
- Université Libre de Bruxelles, Bruxelles, Belgium; Psy Pluriel Centre Européen de Psychologie Médicale, Bruxelles, Belgium
| | | | - Alessandro Serretti
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy
| | - Joseph Zohar
- Psychiatric Division, Chaim Sheba Medical Center, Tel Hashomer, Israel
| | | | - Richard Frey
- 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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30
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Kautzky A, Dold M, Bartova L, Spies M, Vanicek T, Souery D, Montgomery S, Mendlewicz J, Zohar J, Fabbri C, Serretti A, Lanzenberger R, Kasper S. Refining Prediction in Treatment-Resistant Depression: Results of Machine Learning Analyses in the TRD III Sample. J Clin Psychiatry 2019; 79. [PMID: 29228516 DOI: 10.4088/jcp.16m11385] [Citation(s) in RCA: 64] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2016] [Accepted: 10/11/2017] [Indexed: 10/18/2022]
Abstract
OBJECTIVE The study objective was to generate a prediction model for treatment-resistant depression (TRD) using machine learning featuring a large set of 47 clinical and sociodemographic predictors of treatment outcome. METHOD 552 Patients diagnosed with major depressive disorder (MDD) according to DSM-IV criteria were enrolled between 2011 and 2016. TRD was defined as failure to reach response to antidepressant treatment, characterized by a Montgomery-Asberg Depression Rating Scale (MADRS) score below 22 after at least 2 antidepressant trials of adequate length and dosage were administered. RandomForest (RF) was used for predicting treatment outcome phenotypes in a 10-fold cross-validation. RESULTS The full model with 47 predictors yielded an accuracy of 75.0%. When the number of predictors was reduced to 15, accuracies between 67.6% and 71.0% were attained for different test sets. The most informative predictors of treatment outcome were baseline MADRS score for the current episode; impairment of family, social, and work life; the timespan between first and last depressive episode; severity; suicidal risk; age; body mass index; and the number of lifetime depressive episodes as well as lifetime duration of hospitalization. CONCLUSIONS With the application of the machine learning algorithm RF, an efficient prediction model with an accuracy of 75.0% for forecasting treatment outcome could be generated, thus surpassing the predictive capabilities of clinical evaluation. We also supply a simplified algorithm of 15 easily collected clinical and sociodemographic predictors that can be obtained within approximately 10 minutes, which reached an accuracy of 70.6%. Thus, we are confident that our model will be validated within other samples to advance an accurate prediction model fit for clinical usage in TRD.
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Affiliation(s)
- Alexander Kautzky
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - 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
| | - Marie Spies
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Thomas Vanicek
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Daniel Souery
- Université Libre de Bruxelles and Psy Pluriel Centre Europèen de Psychologie Medicale, Brussels, Belgium
| | | | | | - Joseph Zohar
- Psychiatric Division, Chaim Sheba Medical Center, Ramat Gan, Israel
| | - Chiara Fabbri
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Alessandro Serretti
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Rupert Lanzenberger
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Siegfried Kasper
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Währinger Gürtel 18-20, A-1090 Vienna, Austria. .,Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
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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: 68] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [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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Fugger G, Dold M, Bartova L, Kautzky A, Souery D, Mendlewicz J, Serretti A, Zohar J, Montgomery S, Frey R, Kasper S. Comorbid hypertension in patients with major depressive disorder - Results from a European multicenter study. Eur Neuropsychopharmacol 2019; 29:777-785. [PMID: 31006562 DOI: 10.1016/j.euroneuro.2019.03.005] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2018] [Revised: 02/19/2019] [Accepted: 03/02/2019] [Indexed: 12/27/2022]
Abstract
The objective of the present multicenter study was to elucidate relevant associations between major depressive disorder (MDD) and comorbid hypertension that are known for their frequent co-occurrence and interaction with regard to functional disability. Demographic and clinical information of altogether 1410 patients were retrieved cross-sectionally. Consecutively, a comparison of patient characteristics between MDD subjects with and without comorbid hypertension were conducted by descriptive statistics, analyses of covariance (ANCOVA) and binary logistic regression analyses. The point prevalence rate for comorbid hypertension was 18.9%. Patients with MDD+comorbid hypertension were significantly older, heavier, more likely to be in a relationship, inpatient and diagnosed with further comorbid chronic somatic diseases including heart disease, diabetes and thyroid dysfunction. In addition, individuals with MDD and comorbid hypertension exhibited a higher score at the Montgomery and Åsberg Depression Rating Scale (MADRS) at onset of the current depressive episode. Melancholic features of depression showed a higher probability. The first line antidepressant treatment did not differ significantly between MDD subjects with versus without comorbid hypertension. Augmentation with pregabalin and combination with one additional antidepressant, however, were more common in the MDD+hypertension group. In conclusion, high blood pressure may influence illness severity and is associated with a distinct psychopathology in MDD patients. Patients with MDD and comorbid hypertension, that seems to be underdiagnosed in MDD patients compared to the general population, are subject to additional somatic diseases in almost 100 percent of the cases and hence, need to be screened and treated accordingly.
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Affiliation(s)
- Gernot Fugger
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Währinger Gürtel 18-20, A-1090 Vienna, Austria
| | - Markus Dold
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Währinger Gürtel 18-20, A-1090 Vienna, Austria
| | - Lucie Bartova
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Währinger Gürtel 18-20, A-1090 Vienna, Austria
| | - Alexander Kautzky
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Währinger Gürtel 18-20, A-1090 Vienna, Austria
| | - Daniel Souery
- Université Libre de Bruxelles, Bruxelles, Belgium; Psy Pluriel Centre Européen de Psychologie Médicale, Bruxelles, Belgium
| | | | - Alessandro Serretti
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy
| | - Joseph Zohar
- Psychiatric Division, Chaim Sheba Medical Center, Tel Hashomer, Israel
| | | | - Richard Frey
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Währinger Gürtel 18-20, A-1090 Vienna, Austria
| | - Siegfried Kasper
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Währinger Gürtel 18-20, A-1090 Vienna, Austria.
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Balestri M, Porcelli S, Souery D, Kasper S, Dikeos D, Ferentinos P, Papadimitriou GN, Rujescu D, Martinotti G, Di Nicola M, Janiri L, Caletti E, Mandolini GM, Pigoni A, Paoli RA, Lazzaretti M, Brambilla P, Sala M, Abbiati V, Bellani M, Perlini C, Rossetti MG, Piccin S, Bonivento C, Fabbro D, Damante G, Ferrari C, Rossi R, Pedrini L, Benedetti F, Montgomery S, Zohar J, Mendlewicz J, Serretti A. Temperament and character influence on depression treatment outcome. J Affect Disord 2019; 252:464-474. [PMID: 31005789 DOI: 10.1016/j.jad.2019.04.031] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2018] [Revised: 03/07/2019] [Accepted: 04/07/2019] [Indexed: 12/19/2022]
Abstract
BACKGROUND personality features have been repeatedly associated with depression treatment outcome in Major Depressive Disorder (MDD), however conclusive results are still lacking. Moreover, as for Bipolar Disorder (BD), results are only few and preliminary. AIM the aim of the present study was to perform an exploratory investigation of the influence of personality traits as assessed by the Temperament and Character Inventory (TCI), on principal depression treatment outcomes (non remission, non response and resistance). METHODS 743 mood disorders patients (455 MDD (61.24%) and 288 BD (38.76%)) were recruited in the context of 6 European studies. Generalized logit models were performed to test the effects of TCI dimensions on treatment outcomes, considering possible confounders such as age, gender and education. Positive results were controlled for comorbidities (anxiety and substance use disorders) as well. RESULTS MDD Non-Remitters showed high Harm Avoidance (HA) and Self Transcendence (ST) (p = 0.0004, d = 0.40; p = 0.007, d = 0.36 respectively) and low Persistence (P) and Self Directedness (SD) (p = 0.05; d = 0.18; p = 0.002, d = 0.40, respectively); MDD Non-Responders showed a slightly different profile with high HA and low Reward Dependence (RD) and SD; finally, MDD Resistants showed low RD, P and Cooperativeness (C). In BD patients, only higher HA in non response was observed. LIMITATIONS the retrospective cross-sectional design, the TCI assessment regardless of the mood state and the small number of bipolar patients represent the main limitations. CONCLUSION specific TCI personality traits are associated with depression treatment outcome in MDD patients. The inclusion of such personality traits, together with other socio-demographic and clinical predictors, could ameliorate the accuracy of the prediction models available to date.
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Affiliation(s)
- Martina Balestri
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Italy
| | - Stefano Porcelli
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Italy
| | - Daniel Souery
- Laboratoire de Psychologie Médicale, Université Libre de Bruxelles, Centre Européen de Psychologie Médicale-PsyPluriel, Brussels, Belgium
| | - Siegfried Kasper
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Dimitris Dikeos
- Department of Psychiatry, Athens University Medical School, Athens, Greece
| | | | | | - Dan Rujescu
- University Clinic for Psychiatry, Psychotherapy and Psychosomatic, Martin-Luther-University Halle-Wittenberg, Germany
| | - Giovanni Martinotti
- Department of Neuroscience, Imaging, Scienze Cliniche, University "G.d'Annunzio", Chieti, Italy
| | - Marco Di Nicola
- Fondazione Policlinico Universitario "A. Gemelli" - IRCCS, Catholic University of Sacred Heart, Rome, Italy
| | - Luigi Janiri
- Fondazione Policlinico Universitario "A. Gemelli" - IRCCS, Catholic University of Sacred Heart, Rome, Italy
| | - Elisabetta Caletti
- Department of Neurosciences and Mental Health, IRCCS Fondazione Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - Gian Mario Mandolini
- Department of Neurosciences and Mental Health, IRCCS Fondazione Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - Alessandro Pigoni
- Department of Neurosciences and Mental Health, IRCCS Fondazione Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - Riccardo Augusto Paoli
- Department of Neurosciences and Mental Health, IRCCS Fondazione Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - Matteo Lazzaretti
- Department of Neurosciences and Mental Health, IRCCS Fondazione Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - Paolo Brambilla
- Department of Neurosciences and Mental Health, IRCCS Fondazione Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - Michela Sala
- Department of Mental Health, Azienda Sanitaria Locale Alessandria, Alessandria, Italy
| | - Vera Abbiati
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Marcella Bellani
- Department of Neurosciences, Biomedicine and Movement Sciences, Section of Psychiatry and Clinical Psychology, University of Verona, Verona, Italy; UOC Psychiatry, Azienda Ospedaliera Universitaria Integrata Verona (AOUI), Italy
| | - Cinzia Perlini
- Department of Neurosciences, Biomedicine and Movement Sciences, Section of Psychiatry and Clinical Psychology, University of Verona, Verona, Italy; UOC Psychiatry, Azienda Ospedaliera Universitaria Integrata Verona (AOUI), Italy
| | - Maria Gloria Rossetti
- Department of Neurosciences, Biomedicine and Movement Sciences, Section of Psychiatry and Clinical Psychology, University of Verona, Verona, Italy; UOC Psychiatry, Azienda Ospedaliera Universitaria Integrata Verona (AOUI), Italy
| | - Sara Piccin
- Unit of Psychiatry, Department of Medicine (DAME), University of Udine, Udine, Italy
| | - Carolina Bonivento
- Unit of Psychiatry, Department of Medicine (DAME), University of Udine, Udine, Italy
| | - Dora Fabbro
- Department of Laboratory Medicine, Institute of Medical Genetics, University of Udine, Italy
| | - Giuseppe Damante
- Department of Laboratory Medicine, Institute of Medical Genetics, University of Udine, Italy
| | - Clarissa Ferrari
- Service of Statistics, IRCCS Istituto Centro San Giovanni di Dio FBF, Brescia, Italy
| | - Roberta Rossi
- Unit of Psychiatry, IRCCS Istituto Centro San Giovanni di Dio FBF, Brescia, Italy
| | - Laura Pedrini
- Unit of Psychiatry, IRCCS Istituto Centro San Giovanni di Dio FBF, Brescia, Italy
| | - Francesco Benedetti
- Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy, University Vita-Salute San Raffaele, Milan, Italy
| | | | - Joseph Zohar
- Chaim Sheba Medical Center, Tel-Hashomer, Israel
| | | | - Alessandro Serretti
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Italy.
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Mandelli L, Serretti A, Souery D, Mendlewicz J, Kasper S, Montgomery S, Zohar J. High occupational level is associated with poor response to the treatment of depression: A replication study. Eur Neuropsychopharmacol 2019; 29:349-355. [PMID: 30704794 DOI: 10.1016/j.euroneuro.2019.01.107] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Revised: 09/25/2018] [Accepted: 01/07/2019] [Indexed: 11/29/2022]
Abstract
Major depressive disorder (MDD) is a leading cause of disability and inability to work. There is evidence that occupational factors may precipitate a MDD episode and interfere with the recovery process. In a previous investigation, we found that those employed in high occupational levels had a worse outcome after treatment for depression (Mandelli et al., 2016). The aim of the present study was to further investigate response to treatments for depression according to occupational status on an independent sample of MDD patients. Six hundred and forty-seven (647) subjects with a stable working occupation were taken from a larger independent sample of MDD patients evaluated for response and resistance to treatment for depression, after at least one adequate treatment trial. Three broad occupational categories were considered: 'manager', 'white-collar', 'blue-collar' and 'self-employed'. Managers had the highest rate of non-response and resistance to treatments. White-collar workers also had high non-response and resistance rates. At the opposite, Blue-collar workers had significantly lower rates of non-response and resistance. Self-employed were in between White- and Blue-collar workers and did not significantly differ from the other occupational categories. The findings of this replication study substantially support our previous observations. MDD patients employed in high-middle occupations may have a less favorable outcome after standard treatments of depression. Working stressful condition and other psychosocial factors at work should be investigated more closely in relation to treatment outcomes in MDD.
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Affiliation(s)
- Laura Mandelli
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Alessandro Serretti
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.
| | - Daniel Souery
- Laboratoire de Psychologie Médicale, Université Libre de Bruxelles and PsyPluriel, Brussels, Belgium
| | | | - Siegfried Kasper
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | | | - Joseph Zohar
- Expert Platform on Mental Health, Focus on Depression, Tel-Aviv University, Tel Aviv, Israel
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Dold M, Bartova L, Kautzky A, Porcelli S, Montgomery S, Zohar J, Mendlewicz J, Souery D, Serretti A, Kasper S. Psychotic Features in Patients With Major Depressive Disorder: A Report From the European Group for the Study of Resistant Depression. J Clin Psychiatry 2019; 80. [PMID: 30677267 DOI: 10.4088/jcp.17m12090] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2017] [Accepted: 07/16/2018] [Indexed: 10/27/2022]
Abstract
OBJECTIVE To elucidate the impact of the presence of psychotic features in patients diagnosed with major depressive disorder (MDD) on sociodemographic, psychosocial, clinical, and response characteristics. METHODS A total of 1,410 DSM-IV-TR MDD patients were included in the present European multicenter study, which was conducted between 2011 and 2016. Analyses of covariance, χ² tests, and binary logistic regression analyses were performed to explore differences in sociodemographic and clinical variables between MDD patients with and without psychotic symptoms. RESULTS A prevalence rate of 10.92% for psychotic features was found in MDD. Compared to nonpsychotic MDD patients, those with psychotic features were characterized by a higher likelihood for melancholic characteristics (73.38% vs 59.16%, P = .0006), a higher rate of current suicide risk (60.39% vs 44.27%, P = .0002), greater likelihood of receiving inpatient treatment (55.84% vs 32.01%, P < .0001), greater depressive symptom severity (measured by various rating scales), and more often receiving augmentation/combination treatment strategies in general (81.17% vs 58.12%, P < .0001) and add-on therapy with antipsychotics (50.00% vs 22.69%, P < .0001) and benzodiazepines (47.40% vs 31.29%, P = .0001) in particular. Moreover, psychotic symptoms in MDD were highly predictive of treatment resistance, expressed by a more than 2.2-fold higher likelihood for resistance compared to nonpsychotic MDD patients (79.87% vs 35.75%, P < .0001). Only 3.25% of the patients with psychotic MDD achieved treatment response (vs 27.15% of those with nonpsychotic MDD, P < .0001). CONCLUSIONS These findings suggest that adequate diagnosis of psychotic features in MDD should be ensured in routine clinical care. As a combination of antipsychotics and antidepressants represents the first-line treatment option in psychotic MDD, the finding of a 2-fold higher prescription rate for antipsychotic drugs in psychotic versus nonpsychotic MDD patients reflects the current evidence.
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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
| | - Alexander Kautzky
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Stefano Porcelli
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy
| | | | - 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
| | - Alessandro Serretti
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy
| | - Siegfried Kasper
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Währinger Gürtel 18-20, A-1090 Vienna, Austria. .,Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
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Mandelli L, Serretti A, Porcelli S, Souery D, Mendlewicz J, Kasper S, Montgomery S, Zohar J. Opinion paper: poor response to treatment of depression in people in high occupational levels. Psychol Med 2019; 49:49-54. [PMID: 30311597 DOI: 10.1017/s003329171800288x] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
The working environment may have a significant effect on response to treatment of depression and this issue has not yet been sufficiently addressed in the scientific literature. There is evidence showing that being engaged in high-level positions can be an obstacle to the success of treatment. This article discusses the few evidence in the literature and some of the possible mechanisms involved. Specific personality attributes and difficulties in adapting to depression may delay access to care and may also reduce treatment compliance. The presence of stress in jobs that require high cognitive function and lack of social support may be elements that hinder the recovery process. Residual symptoms that impact on cognitive functions may undermine adherence to treatment and adversely affect the response. The implications of these issues are potentially relevant for clinical practice in the treatment of depression and for future research.
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Affiliation(s)
- Laura Mandelli
- Department of Biomedical and Neuromotor Sciences,University of Bologna,Bologna,Italy
| | - Alessandro Serretti
- Department of Biomedical and Neuromotor Sciences,University of Bologna,Bologna,Italy
| | - Stefano Porcelli
- Department of Biomedical and Neuromotor Sciences,University of Bologna,Bologna,Italy
| | - Daniel Souery
- Laboratoire de Psychologie Médicale,Université Libre de Bruxelles and PsyPluriel,Brussels,Belgium
| | | | - Siegfried Kasper
- Department of Psychiatry and Psychotherapy,Medical University of Vienna,Vienna,Austria
| | | | - Joseph Zohar
- Expert Platform on Mental Health, Focus on Depression Tel-Aviv University Israel, Tel-Aviv,Israel
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Fabbri C, Kasper S, Kautzky A, Bartova L, Dold M, Zohar J, Souery D, Montgomery S, Albani D, Raimondi I, Dikeos D, Rujescu D, Uher R, Lewis CM, Mendlewicz J, Serretti A. Genome-wide association study of treatment-resistance in depression and meta-analysis of three independent samples. Br J Psychiatry 2019; 214:36-41. [PMID: 30468137 DOI: 10.1192/bjp.2018.256] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
BACKGROUND Treatment-resistant depression (TRD) is the most problematic outcome of depression in terms of functional impairment, suicidal thoughts and decline in physical health.AimsTo investigate the genetic predictors of TRD using a genome-wide approach to contribute to the development of precision medicine. METHOD A sample recruited by the European Group for the Study of Resistant Depression (GSRD) including 1148 patients with major depressive disorder (MDD) was characterised for the occurrence of TRD (lack of response to at least two adequate antidepressant treatments) and genotyped using the Infinium PsychArray. Three clinically relevant patient groups were considered: TRD, responders and non-responders to the first antidepressant trial, thus outcomes were based on comparisons of these groups. Genetic analyses were performed at the variant, gene and gene-set (i.e. functionally related genes) level. Additive regression models of the outcomes and relevant covariates were used in the GSRD participants and in a fixed-effect meta-analysis performed between GSRD, STAR*D (n = 1316) and GENDEP (n = 761) participants. RESULTS No individual polymorphism or gene was associated with TRD, although some suggestive signals showed enrichment in cytoskeleton regulation, transcription modulation and calcium signalling. Two gene sets (GO:0043949 and GO:0000183) were associated with TRD versus response and TRD versus response and non-response to the first treatment in the GSRD participants and in the meta-analysis, respectively (corrected P = 0.030 and P = 0.027). CONCLUSIONS The identified gene sets are involved in cyclic adenosine monophosphate mediated signal and chromatin silencing, two processes previously implicated in antidepressant action. They represent possible biomarkers to implement personalised antidepressant treatments and targets for new antidepressants.Declaration of interestD.S. has received grant/research support from GlaxoSmithKline and Lundbeck; has served as a consultant or on advisory boards for AstraZeneca, Bristol-Myers Squibb, Eli Lilly, Janssen and Lundbeck. S.M. has been a consultant or served on advisory boards for: AstraZeneca, Bristol-Myers Squibb, Forest, Johnson & Johnson, Leo, Lundbeck, Medelink, Neurim, Pierre Fabre, Richter. S.K. has received grant/research support from Eli Lilly, Lundbeck, Bristol-Myers Squibb, GlaxoSmithKline, Organon, Sepracor and Servier; has served as a consultant or on advisory boards for AstraZeneca, Bristol-Myers Squibb, GlaxoSmithKline, Eli Lilly, Lundbeck, Pfizer, Organon, Schwabe, Sepracor, Servier, Janssen and Novartis; and has served on speakers' bureaus for AstraZeneca, Eli Lily, Lundbeck, Schwabe, Sepracor, Servier, Pierre Fabre, Janssen and Neuraxpharm. J.Z. has received grant/research support from Lundbeck, Servier, Brainsway and Pfizer, has served as a consultant or on advisory boards for Servier, Pfizer, Abbott, Lilly, Actelion, AstraZeneca and Roche and has served on speakers' bureaus for Lundbeck, Roch, Lilly, Servier, Pfizer and Abbott. J.M. is a member of the Board of the Lundbeck International Neuroscience Foundation and of Advisory Board of Servier. A.S. is or has been consultant/speaker for: Abbott, AbbVie, Angelini, Astra Zeneca, Clinical Data, Boehringer, Bristol Myers Squibb, Eli Lilly, GlaxoSmithKline, Innovapharma, Italfarmaco, Janssen, Lundbeck, Naurex, Pfizer, Polifarma, Sanofi and Servier. C.M.L. receives research support from RGA UK Services Limited.
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Affiliation(s)
- Chiara Fabbri
- Research Fellow,Department of Biomedical and NeuroMotor Sciences,University of Bologna,ItalyandInstitute of Psychiatry, Psychology and Neuroscience,King's College London,UK
| | - Siegfried Kasper
- Professor,Department of Psychiatry and Psychotherapy,Medical University Vienna,Austria
| | - Alexander Kautzky
- PhD Student,Department of Psychiatry and Psychotherapy,Medical University Vienna,Austria
| | - Lucie Bartova
- PhD Student,Department of Psychiatry and Psychotherapy,Medical University Vienna,Austria
| | - Markus Dold
- Associate Professor,Department of Psychiatry and Psychotherapy,Medical University Vienna,Austria
| | - Joseph Zohar
- Professor,Department of Psychiatry,Sheba Medical Center and Sackler School of Medicine,Tel Aviv University,Israel
| | - Daniel Souery
- Director,Laboratoire de Psychologie Medicale,Universitè Libre de Bruxelles and Psy Pluriel,Centre Européen de Psychologie Medicale,Brussels,Belgium
| | | | - Diego Albani
- Director,Unità Genetica delle Malattie Neurodegenerative, Istituto di Ricerche Farmacologiche Mario Negri IRCCS,Italy
| | - Ilaria Raimondi
- Research Fellow,Unità Genetica delle Malattie Neurodegenerative, Istituto di Ricerche Farmacologiche Mario Negri IRCCS,Italy
| | - Dimitris Dikeos
- Professor,Department of Psychiatry,Athens University Medical School,Greece
| | - Dan Rujescu
- Professor,University Clinic for Psychiatry, Psychotherapy and Psychosomatic, Martin-Luther-University Halle-Wittenberg,Germany
| | - Rudolf Uher
- Professor,Department of Psychiatry,Dalhousie University,Canada
| | - Cathryn M Lewis
- Professor,Institute of Psychiatry, Psychology and Neuroscience,King's College London,UK
| | | | - Alessandro Serretti
- Professor,Department of Biomedical and NeuroMotor Sciences,University of Bologna,Italy
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Kautzky A, Dold M, Bartova L, Spies M, Kranz GS, Souery D, Montgomery S, Mendlewicz J, Zohar J, Fabbri C, Serretti A, Lanzenberger R, Dikeos D, Rujescu D, Kasper S. Clinical factors predicting treatment resistant depression: affirmative results from the European multicenter study. Acta Psychiatr Scand 2019; 139:78-88. [PMID: 30291625 PMCID: PMC6586002 DOI: 10.1111/acps.12959] [Citation(s) in RCA: 78] [Impact Index Per Article: 15.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/15/2018] [Indexed: 12/18/2022]
Abstract
OBJECTIVES Clinical variables were investigated in the 'treatment resistant depression (TRD)- III' sample to replicate earlier findings by the European research consortium 'Group for the Study of Resistant Depression' (GSRD) and enable cross-sample prediction of treatment outcome in TRD. EXPERIMENTAL PROCEDURES TRD was defined by a Montgomery and Åsberg Depression Rating Scale (MADRS) score ≥22 after at least two antidepressive trials. Response was defined by a decline in MADRS score by ≥50% and below a threshold of 22. Logistic regression was applied to replicate predictors for TRD among 16 clinical variables in 916 patients. Elastic net regression was applied for prediction of treatment outcome. RESULTS Symptom severity (odds ratio (OR) = 3.31), psychotic symptoms (OR = 2.52), suicidal risk (OR = 1.74), generalized anxiety disorder (OR = 1.68), inpatient status (OR = 1.65), higher number of antidepressants administered previously (OR = 1.23), and lifetime depressive episodes (OR = 1.15) as well as longer duration of the current episode (OR = 1.022) increased the risk of TRD. Prediction of TRD reached an accuracy of 0.86 in the independent validation set, TRD-I. CONCLUSION Symptom severity, suicidal risk, higher number of lifetime depressive episodes, and comorbid anxiety disorder were replicated as the most prominent risk factors for TRD. Significant predictors in TRD-III enabled robust prediction of treatment outcome in TRD-I.
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Affiliation(s)
- A. Kautzky
- Department of Psychiatry and PsychotherapyMedical University of ViennaViennaAustria
| | - M. Dold
- Department of Psychiatry and PsychotherapyMedical University of ViennaViennaAustria
| | - L. Bartova
- Department of Psychiatry and PsychotherapyMedical University of ViennaViennaAustria
| | - M. Spies
- Department of Psychiatry and PsychotherapyMedical University of ViennaViennaAustria
| | - G. S. Kranz
- Department of Psychiatry and PsychotherapyMedical University of ViennaViennaAustria,Department of Rehabilitation SciencesThe Hong Kong Polytechnic UniversityHung HomHong Kong
| | - D. Souery
- Universit_e Libre de Bruxelles and Psy Pluriel Centre Europ_een de Psychologie MedicaleBrusselsBelgium
| | | | - J. Mendlewicz
- School of MedicineFree University of BrusselsBrusselsBelgium
| | - J. Zohar
- Psychiatric DivisionChaim Sheba Medical CenterRamat GanIsrael
| | - C. Fabbri
- Department of Biomedical and NeuroMotor SciencesUniversity of BolognaBolognaItaly
| | - A. Serretti
- Department of Biomedical and NeuroMotor SciencesUniversity of BolognaBolognaItaly
| | - R. Lanzenberger
- Department of Psychiatry and PsychotherapyMedical University of ViennaViennaAustria
| | - D. Dikeos
- Department of PsychiatryAthens University Medical SchoolAthensGreece
| | - D. Rujescu
- University Clinic for Psychiatry, Psychotherapy and PsychosomaticMartin‐Luther‐University Halle‐WittenbergHalleGermany
| | - S. Kasper
- Department of Psychiatry and PsychotherapyMedical University of ViennaViennaAustria
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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Dold M, Bartova L, Kautzky A, Serretti A, Porcelli S, Souery D, Mendlewicz J, Montgomery S, Zohar J, Kasper S. Clinical factors associated with augmentation treatment with second-generation antipsychotics and lithium in major depression - Results from a European multicenter study. Eur Neuropsychopharmacol 2018; 28:1305-1313. [PMID: 30446357 DOI: 10.1016/j.euroneuro.2018.10.003] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2018] [Revised: 10/12/2018] [Accepted: 10/23/2018] [Indexed: 10/27/2022]
Abstract
This cross-sectional European multicenter study with retrospective assessment of treatment response sought to determine variables associated with the administration of augmentation strategies with second-generation antipsychotics (SGAs) and lithium in the pharmacotherapy of major depressive disorder (MDD). In 349 DSM-IV-TR MDD patients, differences in socio-demographic, clinical, treatment, and pharmacological features between participants receiving add-on treatment of their antidepressants with either SGAs (n = 318) or lithium (n = 31) were investigated using analyses of covariance, chi-squared tests, and binary logistic regression analyses. As only significant between-group difference, we found SGA augmentation (compared with lithium augmentation) to be associated with high depressive symptom severity expressed by a higher mean Montgomery and Åsberg Depression Rating (MADRS) total score (27.19 ± 11.35 vs 18.87 ± 12.88, F = 14.82, p = < .0001) and a higher mean 21-item Hamilton Rating Scale for Depression (HAM-D) total score (21.27 ± 9.30 vs 13.74 ± 9.11, F = 18.60, p = < .0001). No significant differences for socio-demographic features, psychotic symptoms, suicidality, psychiatric and somatic comorbidities, antidepressant pharmacotherapy, and other add-on medications could be seen. Even if there was no significant superiority of one augmentation strategy with regard to treatment response pattern, a trend whereupon adjunctive SGAs were more likely dispensed in treatment-resistant and difficult-to-treat MDD conditions could be observed. In terms of the prescription pattern, we could demonstrate that lithium is less frequently used than SGAs in the clinical routine care which may reflect the need of continuous plasma level determinations and the anticipation of adverse effects.
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Affiliation(s)
- Markus Dold
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria
| | - Lucie Bartova
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria
| | - Alexander Kautzky
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria
| | - Alessandro Serretti
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Viale Carlo Pepoli 5, 40123 Bologna, Italy
| | - Stefano Porcelli
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Viale Carlo Pepoli 5, 40123 Bologna, Italy
| | - Daniel Souery
- Psy Pluriel - European Center of Psychological Medicine, Rue des Trois Arbres 62, 1180 Brussels, Belgium; School of Medicine, Free University of Brussels, Route de Lennik 808, 1070 Brussels, Belgium
| | - Julien Mendlewicz
- School of Medicine, Free University of Brussels, Route de Lennik 808, 1070 Brussels, Belgium
| | - Stuart Montgomery
- Imperial College School of Medicine, University of London, PO Box 8751, London W13 8WH, United Kingdom
| | - Joseph Zohar
- Psychiatric Division, Chaim Sheba Medical Center, Tel Hashomer 52621, Israel; Sackler School of Medicine, Tel Aviv University, Tel Aviv 69978, Israel
| | - Siegfried Kasper
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria.
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Calabrò M, Fabbri C, Crisafulli C, Albani D, Forloni G, Kasper S, Sidoti A, Velardi E, Zohar J, Juven-Wetzler A, Souery D, Montgomery S, Mendlewicz J, Serretti A. The serotonin transporter and the activity regulated cytoskeleton-associated protein genes in antidepressant response and resistance: 5-HTTLPR and other variants. Hum Psychopharmacol 2018; 33:e2682. [PMID: 30426571 DOI: 10.1002/hup.2682] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2017] [Revised: 10/05/2018] [Accepted: 10/08/2018] [Indexed: 01/14/2023]
Affiliation(s)
- Marco Calabrò
- Department of Biomedical and Dental Sciences and Morphofunctional Images, Division of Medical Biotechnologies and Preventive Medicine, University of Messina, Messina, Italy
| | - Chiara Fabbri
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy
| | - Concetta Crisafulli
- Department of Biomedical and Dental Sciences and Morphofunctional Images, Division of Medical Biotechnologies and Preventive Medicine, University of Messina, Messina, Italy
| | - Diego Albani
- Laboratory of Biology of Neurodegenerative Disorders, Neuroscience Department, IRCCS Istituto di Ricerche Farmacologiche "Mario Negri", Milan, Italy
| | - Gianluigi Forloni
- Laboratory of Biology of Neurodegenerative Disorders, Neuroscience Department, IRCCS Istituto di Ricerche Farmacologiche "Mario Negri", Milan, Italy
| | - Siegfried Kasper
- Department of Psychiatry and Psychotherapy, Medical University Vienna, Vienna, Austria
| | - Antonina Sidoti
- Department of Biomedical and Dental Sciences and Morphofunctional Images, Division of Medical Biotechnologies and Preventive Medicine, University of Messina, Messina, Italy
| | - Elvira Velardi
- Department of Biomedical and Dental Sciences and Morphofunctional Images, Division of Medical Biotechnologies and Preventive Medicine, University of Messina, Messina, Italy
| | - Joseph Zohar
- Department of Psychiatry, Sheba Medical Center, Tel Hashomer, and Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Alzbeta Juven-Wetzler
- Department of Psychiatry, Sheba Medical Center, Tel Hashomer, and Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Daniel Souery
- Laboratoire de Psychologie Medicale, Universitè Libre de Bruxelles and Psy Pluriel, Centre Européen de Psychologie Medicale, Brussels, Belgium
| | | | | | - Alessandro Serretti
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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Fabbri C, Corponi F, Souery D, Kasper S, Montgomery S, Zohar J, Rujescu D, Mendlewicz J, Serretti A. The Genetics of Treatment-Resistant Depression: A Critical Review and Future Perspectives. Int J Neuropsychopharmacol 2018; 22:93-104. [PMID: 29688548 PMCID: PMC6368368 DOI: 10.1093/ijnp/pyy024] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2018] [Accepted: 04/05/2018] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND One-third of depressed patients develop treatment-resistant depression with the related sequelae in terms of poor functionality and worse prognosis. Solid evidence suggests that genetic variants are potentially valid predictors of antidepressant efficacy and could be used to provide personalized treatments. METHODS The present review summarizes genetic findings of treatment-resistant depression including results from candidate gene studies and genome-wide association studies. The limitations of these approaches are discussed, and suggestions to improve the design of future studies are provided. RESULTS Most studies used the candidate gene approach, and few genes showed replicated associations with treatment-resistant depression and/or evidence obtained through complementary approaches (e.g., gene expression studies). These genes included GRIK4, BDNF, SLC6A4, and KCNK2, but confirmatory evidence in large cohorts was often lacking. Genome-wide association studies did not identify any genome-wide significant association at variant level, but pathways including genes modulating actin cytoskeleton, neural plasticity, and neurogenesis may be associated with treatment-resistant depression, in line with results obtained by genome-wide association studies of antidepressant response. The improvement of aggregated tests (e.g., polygenic risk scores), possibly using variant/gene prioritization criteria, the increase in the covering of genetic variants, and the incorporation of clinical-demographic predictors of treatment-resistant depression are proposed as possible strategies to improve future pharmacogenomic studies. CONCLUSIONS Genetic biomarkers to identify patients with higher risk of treatment-resistant depression or to guide treatment in these patients are not available yet. Methodological improvements of future studies could lead to the identification of genetic biomarkers with clinical validity.
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Affiliation(s)
- Chiara Fabbri
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy
| | - Filippo Corponi
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy
| | - Daniel Souery
- Université Libre de Bruxelles and Psy Pluriel Centre Europèen de Psychologie Medicale, Brussels, Belgium
| | - Siegfried Kasper
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | | | - Joseph Zohar
- Psychiatric Division, Chaim Sheba Medical Center, Ramat Gan, Israel
| | - Dan Rujescu
- Psychiatric Division, Chaim Sheba Medical Center, Ramat Gan, Israel,University Clinic for Psychiatry, Psychotherapy and Psychosomatic, Martin-Luther-University Halle-Wittenberg, Germany
| | - Julien Mendlewicz
- Psychiatric Division, Chaim Sheba Medical Center, Ramat Gan, Israel,Université Libre de Bruxelles, Brussels, Belgium
| | - Alessandro Serretti
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy,Psychiatric Division, Chaim Sheba Medical Center, Ramat Gan, Israel,Correspondence: Alessandro Serretti, MD, PhD, Department of Biomedical and NeuroMotor Sciences, University of Bologna, Viale Carlo Pepoli 5, 40123 Bologna, Italy ()
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Dold M, Bartova L, Fugger G, Kautzky A, Souery D, Mendlewicz J, Papadimitriou GN, Dikeos D, Ferentinos P, Porcelli S, Serretti A, Zohar J, Montgomery S, Kasper S. Major Depression and the Degree of Suicidality: Results of the European Group for the Study of Resistant Depression (GSRD). Int J Neuropsychopharmacol 2018; 21:539-549. [PMID: 29860382 PMCID: PMC6007240 DOI: 10.1093/ijnp/pyy009] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2017] [Accepted: 02/22/2018] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND This European multicenter study aimed to elucidate suicidality in major depressive disorder. Previous surveys suggest a prevalence of suicidality in major depressive disorder of ≥50%, but little is known about the association of different degrees of suicidality with socio-demographic, psychosocial, and clinical characteristics. METHODS We stratified 1410 major depressive disorder patients into 3 categories of suicidality based on the Hamilton Rating Scale for Depression item 3 (suicidality) ratings (0=no suicidality; 1-2=mild/moderate suicidality; 3-4=severe suicidality). Chi-squared tests, analyses of covariance, and Spearman correlation analyses were applied for the data analyses. RESULTS The prevalence rate of suicidality in major depressive disorder amounted to 46.67% (Hamilton Rating Scale for Depression item 3 score ≥1). 53.33% were allocated into the no, 38.44% into the mild/moderate, and 8.23% into the severe suicidality patient group. Due to the stratification of our major depressive disorder patient sample according to different levels of suicidality, we identified some socio-demographic, psychosocial, and clinical variables differentiating from the patient group without suicidality already in presence of mild/moderate suicidality (depressive symptom severity, treatment resistance, psychotic features, add-on medications in general), whereas others separated only when severe suicidality was manifest (inpatient treatment, augmentation with antipsychotics and benzodiazepines, melancholic features, somatic comorbidities). CONCLUSIONS As even mild/moderate suicidality is associated with a failure of achieving treatment response, adequate recognition of this condition should be ensured in the clinical practice.
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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
| | - Alexander Kautzky
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Daniel Souery
- Université Libre de Bruxelles, Brussels, Belgium,Psy Pluriel, Centre Européen de Psychologie Médicale, Brussels, Belgium
| | | | - George N Papadimitriou
- First Department of Psychiatry, Medical School, National and Kapodistrian University of Athens, Eginition Hospital, Athens, Greece
| | - Dimitris Dikeos
- First Department of Psychiatry, Medical School, National and Kapodistrian University of Athens, Eginition Hospital, Athens, Greece
| | - Panagiotis Ferentinos
- Second Department of Psychiatry, Medical School, National and Kapodistrian University of Athens, Attikon General Hospital, Athens, Greece
| | - 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
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | | | - Siegfried Kasper
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria,Correspondence: Siegfried Kasper, MD, Professor and Chairman, Medical University of Vienna, Department of Psychiatry and Psychotherapy, Währinger Gürtel 18–20, A-1090 Vienna, Austria ()
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Fabbri C, Corponi F, Albani D, Raimondi I, Forloni G, Schruers K, Kasper S, Kautzky A, Zohar J, Souery D, Montgomery S, Cristalli CP, Mantovani V, Mendlewicz J, Serretti A. Pleiotropic genes in psychiatry: Calcium channels and the stress-related FKBP5 gene in antidepressant resistance. Prog Neuropsychopharmacol Biol Psychiatry 2018; 81:203-210. [PMID: 28989100 DOI: 10.1016/j.pnpbp.2017.10.005] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2017] [Revised: 10/03/2017] [Accepted: 10/04/2017] [Indexed: 11/27/2022]
Abstract
A candidate gene and a genome-wide approach were combined to study the pharmacogenetics of antidepressant response and resistance. Investigated genes were selected on the basis of pleiotropic effect across psychiatric phenotypes in previous genome-wide association studies and involvement in antidepressant response. Three samples with major depressive disorder (total=671) were genotyped for 44 SNPs in 8 candidate genes (CACNA1C, CACNB2, ANK3, GRM7, TCF4, ITIH3, SYNE1, FKBP5). Phenotypes were response/remission after 4weeks of treatment and treatment-resistant depression (TRD). Genome-wide data from STAR*D were used to replicate findings for response/remission (n=1409) and TRD (n=620). Pathways including the most promising candidate genes were investigated in STAR*D for involvement in TRD. FKBP5 polymorphisms showed replicated but nominal associations with response, remission or TRD. CACNA1C rs1006737 and rs10848635 were the only polymorphisms that survived multiple-testing correction. In STAR*D the best pathway associated with TRD included CACNA1C (GO:0006942, permutated p=0.15). Machine learning models showed that independent SNPs in this pathway predicted TRD with a mean sensitivity of 0.83 and specificity of 0.56 after 10-fold cross validation repeated 100 times. FKBP5 polymorphisms appear good candidates for inclusion in antidepressant pharmacogenetic tests. Pathways including the CACNA1C gene may be involved in TRD and they may provide the base for developing multi-marker predictors of TRD.
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Affiliation(s)
- Chiara Fabbri
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Italy
| | - Filippo Corponi
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Italy
| | - Diego Albani
- Laboratory of Biology of Neurodegenerative Disorders, Neuroscience Department, IRCCS Istituto di Ricerche Farmacologiche "Mario Negri", Milan, Italy
| | - Ilaria Raimondi
- Laboratory of Biology of Neurodegenerative Disorders, Neuroscience Department, IRCCS Istituto di Ricerche Farmacologiche "Mario Negri", Milan, Italy
| | - Gianluigi Forloni
- Laboratory of Biology of Neurodegenerative Disorders, Neuroscience Department, IRCCS Istituto di Ricerche Farmacologiche "Mario Negri", Milan, Italy
| | - Koen Schruers
- School of Mental Health and Neuroscience, Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, The Netherlands
| | - Siegfried Kasper
- Department of Psychiatry and Psychotherapy, Medical University Vienna, Austria
| | - Alexander Kautzky
- Department of Psychiatry and Psychotherapy, Medical University Vienna, Austria
| | - Joseph Zohar
- Department of Psychiatry, Sheba Medical Center, Tel Hashomer, Sackler School of Medicine, Tel Aviv University, Israel
| | - Daniel Souery
- Laboratoire de Psychologie Medicale, Universitè Libre de Bruxelles and Psy Pluriel, Centre Européen de Psychologie Medicale, Brussels, Belgium
| | | | - Carlotta Pia Cristalli
- Center for Applied Biomedical Research (CRBA), St. Orsola University Hospital, Bologna, Italy
| | - Vilma Mantovani
- Center for Applied Biomedical Research (CRBA), St. Orsola University Hospital, Bologna, Italy
| | - Julien Mendlewicz
- Universite´ Libre de Bruxelles, Avenue Franklin Roosevelt 50, Bruxelles, Belgium
| | - Alessandro Serretti
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Italy.
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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Olgiati P, Serretti A, Souery D, Dold M, Kasper S, Montgomery S, Zohar J, Mendlewicz J. Early improvement and response to antidepressant medications in adults with major depressive disorder. Meta-analysis and study of a sample with treatment-resistant depression. J Affect Disord 2018; 227:777-786. [PMID: 29254066 DOI: 10.1016/j.jad.2017.11.004] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2017] [Revised: 08/31/2017] [Accepted: 11/02/2017] [Indexed: 12/28/2022]
Abstract
BACKGROUND Initial improvement in the first weeks of antidepressant (AD) treatment is a useful early predictor of complete AD response. We performed a meta-analysis of AD studies to investigate whether a partial decrease in depressive symptoms by week 4 was associated with response and remission by weeks 6-14 in major depressive disorder (MDD). Finally, we focused on treatment-resistant depression (TRD: lack of response to prior AD) to test the impact of early improvement on a second AD treatment outcome and to compare different switching strategies. METHODS Meta-analysis was conducted on AD naturalistic studies published between 01.01.2000 and 06.30.2017. TRD was an exclusion criterion. TRD was analyzed in 407 MDD patients treated with venlafaxine for 6 weeks. The MADRS was used to define very early improvement (VEI: > 20% decrease at week 2), early improvement (EI: > 30% decrease at week 4) and remission (week 6 MADRS < 10). A theoretical model was used to simulate AD switch in TRD patients who failed to achieve remission (Algorithm A), VEI (Algorithm B) or EI (Algorithm C). RESULTS Our meta-analysis (9 studies; N = 6185) showed significant associations between early improvement, response (OR: 3.28 95% C.I: 2.06-5.20) and remission (OR: 2.10 95% C.I: 1.53-2.87). 24.6% of TRD sample remitted. VEI was a poor outcome predictor: sensitivity = 0.52 (0.40-0.63); specificity = 0.82 (0.76-0.86); AUC = 0.67 (0.62-0.71). EI had a moderate predictive power: sensitivity = 0.87 (0.77-0.93); specificity = 0.71 (0.66-0.77); AUC = 0.76 (0.71-0.80). The best treatment scenario was Algorithm C (switch after 4 weeks) in which remission rate was marginally increased (35.1% vs 33.7% of Algorithm A). Algorithm B (switch after 2 weeks) led to a 4.3% decrease in remission compared to Algorithm A. LIMITATIONS Inclusion of a naturalistic sample without a control arm; simulation of treatments. CONCLUSION Although literature data suggest a correlation between an initial improvement of depressive symptoms and later response and remission during AD treatment, our analysis shows that such an early improvement is not a reliable outcome predictor in TRD. The nature of TRD is complex and different biological mechanisms and treatments might be necessary for TRD patients.
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Affiliation(s)
- Paolo Olgiati
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Viale Carlo Pepoli 5, 40123 Bologna, Italy
| | - Alessandro Serretti
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Viale Carlo Pepoli 5, 40123 Bologna, Italy.
| | - Daniel Souery
- Laboratoire de Psychologie Médicale, Université Libre de Bruxelles, and Centre Européen de Psychologie Médicale-PsyPluriel, Brussels, Belgium
| | - Markus Dold
- Medical University of Vienna, Department of Psychiatry and Psychotherapy, Vienna, Austria
| | - Siegfried Kasper
- Medical University of Vienna, Department of Psychiatry and Psychotherapy, Vienna, Austria
| | | | - Joseph Zohar
- Chaim Sheba Medical Center, Chaim Sheba Medical Center, Tel-Hashomer, Israel
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Benatti C, Alboni S, Blom JMC, Mendlewicz J, Tascedda F, Brunello N. Molecular changes associated with escitalopram response in a stress-based model of depression. Psychoneuroendocrinology 2018; 87:74-82. [PMID: 29049934 DOI: 10.1016/j.psyneuen.2017.10.011] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2017] [Revised: 09/15/2017] [Accepted: 10/12/2017] [Indexed: 11/30/2022]
Abstract
Converging evidence points at hypothalamus-pituitary-adrenal (HPA) axis hyperactivity and neuroinflammation as important factors involved in the etiopathogenesis of major depressive disorder (MDD) and in therapeutic efficacy of antidepressants. In this study, we examined the molecular effects associated with a response to a week-long treatment with escitalopram in the chronic escape deficit (CED) model, a validated model of depression based on the induction of an escape deficit after exposure of rats to an unavoidable stress. We confirmed our previous result that a treatment with escitalopram (10mg/kg) was effective after 7days in reverting the stress-induced escape deficit in approximately 50% of the animals, separating responders from non-responders. Expression of markers of HPA axis functionality as well as several inflammatory mediators were evaluated in the hypothalamus, a key structure integrating signals from the neuro, immune, endocrine systems. In the hypothalamus of responder animals we observed a decrease in the expression of CRH and its receptors and an increase in GR protein in total and nuclear extracts; this effect was accompanied by a significant decrease in circulating corticosterone in the same cohort. Hypothalamic IL-1β and TNFα expression were increased in stressed animals, while CXCL2, IL-6, and ADAM17 mRNA levels were decreased in escitalopram treated rats regardless of the treatment response. These data suggest that efficacy of a one week treatment with escitalopram may be partially mediated by a decrease HPA axis activity, while in the hypothalamus the drug-induced effects on the expression of immune modulators did not correlate with the behavioural outcome.
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Affiliation(s)
- Cristina Benatti
- Department of Life Sciences, University of Modena and Reggio Emilia, Via Campi 287, 41125, Modena, Italy; Center for Neuroscience and Neurotechnology University of Modena and Reggio Emilia, Modena, Italy.
| | - Silvia Alboni
- Department of Life Sciences, University of Modena and Reggio Emilia, Via Campi 287, 41125, Modena, Italy
| | - Joan M C Blom
- Center for Neuroscience and Neurotechnology University of Modena and Reggio Emilia, Modena, Italy; Department of Education and Human Sciences, University of Modena and Reggio Emilia, Viale Antonio Allegri 9, 42121, Reggio Emilia, Italy
| | - Julien Mendlewicz
- Department of Psychiatry, University Clinics of Brussels, Erasme Hospital, Free University of Brussels, 808 Route de Lennik, Brussels, Belgium
| | - Fabio Tascedda
- Department of Life Sciences, University of Modena and Reggio Emilia, Via Campi 287, 41125, Modena, Italy; Center for Neuroscience and Neurotechnology University of Modena and Reggio Emilia, Modena, Italy
| | - Nicoletta Brunello
- Department of Life Sciences, University of Modena and Reggio Emilia, Via Campi 287, 41125, Modena, Italy; Center for Neuroscience and Neurotechnology University of Modena and Reggio Emilia, Modena, Italy
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Giegling I, Hosak L, Mössner R, Serretti A, Bellivier F, Claes S, Collier DA, Corrales A, DeLisi LE, Gallo C, Gill M, Kennedy JL, Leboyer M, Maier W, Marquez M, Massat I, Mors O, Muglia P, Nöthen MM, Ospina-Duque J, Owen MJ, Propping P, Shi Y, St Clair D, Thibaut F, Cichon S, Mendlewicz J, O'Donovan MC, Rujescu D. Genetics of schizophrenia: A consensus paper of the WFSBP Task Force on Genetics. World J Biol Psychiatry 2017; 18:492-505. [PMID: 28112043 DOI: 10.1080/15622975.2016.1268715] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
OBJECTIVES Schizophrenia is a severe psychiatric disease affecting about 1% of the general population. The relative contribution of genetic factors has been estimated to be up to 80%. The mode of inheritance is complex, non-Mendelian, and in most cases involving the combined action of large numbers of genes. METHODS This review summarises recent efforts to identify genetic variants associated with schizophrenia detected, e.g., through genome-wide association studies, studies on copy-number variants or next-generation sequencing. RESULTS A large, new body of evidence on genetics of schizophrenia has accumulated over recent years. Many new robustly associated genetic loci have been detected. Furthermore, there is consensus that at least a dozen microdeletions and microduplications contribute to the disease. Genetic overlap between schizophrenia, other psychiatric disorders, and neurodevelopmental syndromes raised new questions regarding the current classification of psychiatric and neurodevelopmental diseases. CONCLUSIONS Future studies will address especially the functional characterisation of genetic variants. This will hopefully open the doors to our understanding of the pathophysiology of schizophrenia and other related diseases. Complementary, integrated systems biology approaches to genomics, transcriptomics, proteomics and metabolomics may also play crucial roles in enabling a precision medicine approach to the treatment of individual patients.
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Affiliation(s)
- Ina Giegling
- a Department of Psychiatry, Psychotherapy, and Psychosomatics , Martin Luther University of Halle-Wittenberg , Halle , Germany.,b Department of Psychiatry , Ludwig-Maximilians-University Munich , Munich , Germany
| | - Ladislav Hosak
- c Department of Psychiatriy , Charles University, Faculty of Medicine and University Hospital in Hradec Králové, Prague , Czech Republic
| | - Rainald Mössner
- d Department of Psychiatry and Psychotherapy , University of Tübingen , Tübingen , Germany
| | - Alessandro Serretti
- e Department of Biomedical and Neuromotor Sciences , University of Bologna , Bologna , Italy
| | - Frank Bellivier
- f Fondation Fondamental, Créteil, France AP-HP, GH Saint-Louis-Lariboisière-Fernand-Widal, Pôle Neurosciences , Paris , France.,g Equipe 1, Université Paris Diderot , Paris , France
| | - Stephan Claes
- h GRASP-Research Group, Department of Neuroscience , University of Leuven , Leuven , Belgium.,i Department of Neurosciences, University Psychiatric Center KU Leuven , Leuven , Belgium
| | - David A Collier
- j Social, Genetic and Developmental Psychiatry Centre , Institute of Psychiatry, King's College London , London , UK.,k Eli Lilly and Company Ltd, Erl Wood Manor , Surrey , UK
| | - Alejo Corrales
- l Argentinean Association of Biological Psychiatry , National University, UNT, Buenos Aires , Argentina
| | - Lynn E DeLisi
- m VA Boston Health Care System , Brockton , MA , USA.,n Department of Psychiatry , Harvard Medical School , Boston , MA , USA
| | - Carla Gallo
- o Departamento de Ciencias Celulares y Moleculares, Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía , Universidad Peruana Cayetano Heredia , Lima , Peru
| | - Michael Gill
- p Neuropsychiatric Genetics Research Group, Department of Psychiatry , Trinity College Dublin , Dublin , Ireland
| | - James L Kennedy
- q Neurogenetics Section, Centre for Addiction and Mental Health , Toronto , ON , Canada.,r Centre for Addiction and Mental Health , Campbell Family Mental Health Research Institute , Toronto , ON , Canada.,s Department of Psychiatry , University of Toronto , Toronto , ON , Canada.,t Collaborative Program in Neuroscience, Institute of Medical Science, University of Toronto , Toronto , ON , Canada
| | - Marion Leboyer
- u Equipe Psychiatrie Translationnelle, Faculté de Médecine, Université Paris-Est Créteil, Inserm U955 , Créteil , France.,v DHU Pe-Psy, Pôle de Psychiatrie et d'Addictologie , AP-HP, Hôpitaux Universitaires Henri Mondor , Créteil , France.,w Pôle de Psychiatrie , Hôpital Albert Chenevier , Créteil , France.,x Fondation FondaMental , Créteil , France
| | - Wolfgang Maier
- y Department of Psychiatry and Psychotherapy , University of Bonn, Bonn , Germany
| | - Miguel Marquez
- z Asistencia, Docencia e Investigación en Neurociencia , Buenos Aires , Argentina
| | - Isabelle Massat
- aa UNI - ULB Neurosciences Institute, ULB , Bruxelles , Belgium.,ab National Fund of Scientific Research (FNRS) , Bruxelles , Belgium.,ac Laboratory of Experimental Neurology , ULB , Bruxelles , Belgium.,ad UR2NF - Neuropsychology and Functional Neuroimaging Research Unit, Centre de Recherche Cognition et Neurosciences , Université Libre de Bruxelles (ULB) , Bruxelles , Belgium
| | - Ole Mors
- ae Psychosis Research Unit , Aarhus University Hospital , Risskov , Denmark.,af The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus , Denmark
| | | | - Markus M Nöthen
- ah Head, Institute of Human Genetics, University of Bonn , Bonn , Germany.,ai Department of Genomics , Life and Brain Center , Bonn , Germany
| | - Jorge Ospina-Duque
- aj Grupo de Investigación en Psiquiatría, Departamento de Psiquiatría, Facultad de Medicina , Universidad de Antioquia , Medellín , Colombia
| | - Michael J Owen
- ak MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, School of Medicine , Cardiff University , Cardiff , UK.,al National Centre for Mental Health, Cardiff University , Cardiff , UK
| | | | - YongYong Shi
- an Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education , Shanghai Jiao Tong University , Shanghai , China.,ao Shandong Provincial Key Laboratory of Metabloic Disease, The Affiliated Hospital of Qingdao University , Qingdao , P.R. China.,ap Institute of Social Cognitive and Behavioral Sciences, Shanghai Jiao Tong University , Shanghai , P.R. China
| | - David St Clair
- aq Department of Psychiatry, University of Aberdeen, Institute of Medical Sciences , Aberdeen , UK
| | - Florence Thibaut
- ar INSERM U 894 Centre Psychiatry and Neurosciences , University Hospital Cochin (Site Tarnier), University Sorbonne Paris Cité (Faculty of Medicine Paris Descartes) , Paris , France
| | - Sven Cichon
- ah Head, Institute of Human Genetics, University of Bonn , Bonn , Germany.,ai Department of Genomics , Life and Brain Center , Bonn , Germany.,as Division of Medical Genetics, Department of Biomedicine , University of Basel , Basel , Switzerland.,at Genomic Imaging, Institute of Neuroscience and Medicine , Research Center Juelich , Juelich , Germany
| | - Julien Mendlewicz
- au Laboratoire de Psychologie Medicale, Centre Europe´en de Psychologie Medicale , Universite´ Libre de Bruxelles and Psy Pluriel , Brussels , Belgium
| | - Michael C O'Donovan
- ak MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, School of Medicine , Cardiff University , Cardiff , UK.,al National Centre for Mental Health, Cardiff University , Cardiff , UK
| | - Dan Rujescu
- a Department of Psychiatry, Psychotherapy, and Psychosomatics , Martin Luther University of Halle-Wittenberg , Halle , Germany.,b Department of Psychiatry , Ludwig-Maximilians-University Munich , Munich , Germany
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Dold M, Bartova L, Souery D, Mendlewicz J, Serretti A, Porcelli S, Zohar J, Montgomery S, Kasper S. Clinical characteristics and treatment outcomes of patients with major depressive disorder and comorbid anxiety disorders - results from a European multicenter study. J Psychiatr Res 2017; 91:1-13. [PMID: 28284107 DOI: 10.1016/j.jpsychires.2017.02.020] [Citation(s) in RCA: 58] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2016] [Revised: 01/23/2017] [Accepted: 02/21/2017] [Indexed: 01/04/2023]
Abstract
This naturalistic European multicenter study aimed to elucidate the association between major depressive disorder (MDD) and comorbid anxiety disorders. Demographic and clinical information of 1346 MDD patients were compared between those with and without concurrent anxiety disorders. The association between explanatory variables and the presence of comorbid anxiety disorders was examined using binary logistic regression analyses. 286 (21.2%) of the participants exhibited comorbid anxiety disorders, 10.8% generalized anxiety disorder (GAD), 8.3% panic disorder, 8.1% agoraphobia, and 3.3% social phobia. MDD patients with comorbid anxiety disorders were characterized by younger age (social phobia), outpatient status (agoraphobia), suicide risk (any anxiety disorder, panic disorder, agoraphobia, social phobia), higher depressive symptom severity (GAD), polypsychopharmacy (panic disorder, agoraphobia), and a higher proportion receiving augmentation treatment with benzodiazepines (any anxiety disorder, GAD, panic disorder, agoraphobia, social phobia) and pregabalin (any anxiety disorder, GAD, panic disorder). The results in terms of treatment response were conflicting (better response for panic disorder and poorer for GAD). The logistic regression analyses revealed younger age (any anxiety disorder, social phobia), outpatient status (agoraphobia), suicide risk (agoraphobia), severe depressive symptoms (any anxiety disorder, GAD, social phobia), poorer treatment response (GAD), and increased administration of benzodiazepines (any anxiety disorder, agoraphobia, social phobia) and pregabalin (any anxiety disorder, GAD, panic disorder) to be associated with comorbid anxiety disorders. Our findings suggest that the various anxiety disorders subtypes display divergent clinical characteristics and are associated with different variables. Especially comorbid GAD appears to be characterized by high symptom severity and poor treatment response.
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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
- Université Libre de Bruxelles, Brussels, Belgium; Psy Pluriel, Centre Européen de Psychologie Médicale, Brussels, Belgium
| | | | - Alessandro Serretti
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy
| | - Stefano Porcelli
- 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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