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Tundo A, Musetti L, Betrò S, Cambiali E, de Filippis R, Marazziti D, Mucci F, Proietti L, Dell’Osso L. Are anxious and mixed depression two sides of the same coin? Similarities and differences in patients with bipolar I, II and unipolar disorders. Eur Psychiatry 2023; 66:e75. [PMID: 37697671 PMCID: PMC10594275 DOI: 10.1192/j.eurpsy.2023.2445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Revised: 03/28/2023] [Accepted: 05/13/2023] [Indexed: 09/13/2023] Open
Abstract
BACKGROUND Diagnostic criteria are not always useful to discriminate major depression with anxious distress (ADS-D; Diagnostic and Statistical Manual for Mental Disorders, version-5 [DSM-5] criteria) from mixed depression (Koukopoulos' criteria; KMX-D). So, clinicians need alternative tools to improve their diagnostic ability and to choose the most appropriate treatment. The aim of the present study is to identify socio-demographic and clinical features that discriminate patients with ADS-D from those with KMX-D. METHODS Two hundred and forty-one consecutive outpatients with unipolar (51%) and bipolar (49%) disorder, fulfilling DSM-5 criteria for a current major depressive episode (MDE) and with a 21-item Hamilton Depression Rating Scale score ≥ 14, were recruited and treated in a prospective observational study. RESULTS Ten percent of patients met criteria for KMX-D, 22% ADS-D, and 37% for both. Irritable premorbid temperament, mixed depression polarity at onset, mixed depression recurrence, and a high number of mania symptoms at intake were typical features of patients with KMX-D. Depressive polarity at onset, a low number of mania symptoms at intake, and generalized anxiety disorder comorbidity were typical features of patients with ADS-D. Multinomial logistic regression confirmed that higher rate of irritable temperament and higher Young Mania Rating Scale total score differentiated patients with KMX-D from patients with pure MDE. CONCLUSION Our findings suggest some clinical features that could help differentiate between ADS-D and KMX-D in patients meeting both conditions and to select the appropriate treatment. However, the small sample size may have limited the power to detect differences between the groups. Further research is needed to confirm the results of present study.
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Affiliation(s)
| | - Laura Musetti
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | | | - Erika Cambiali
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | | | - Donatella Marazziti
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Federico Mucci
- Department of Biotechnology, Chemistry and Pharmacy, University of Siena, Siena, Italy
| | | | - Liliana Dell’Osso
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
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Sun XL, Ma LN, Chen ZZ, Xiong YB, Jia J, Wang Y, Ren Y. Search for serum biomarkers in patients with bipolar disorder and major depressive disorder using metabolome analysis. Front Psychiatry 2023; 14:1251955. [PMID: 37736060 PMCID: PMC10509760 DOI: 10.3389/fpsyt.2023.1251955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 08/21/2023] [Indexed: 09/23/2023] Open
Abstract
Objective Bipolar disorder (BD) and major depressive disorder (MDD) are two common psychiatric disorders. Due to the overlapping clinical symptoms and the lack of objective diagnostic biomarkers, bipolar disorder (BD) is easily misdiagnosed as major depressive disorder (MDD), which in turn affects treatment decisions and prognosis. This study aimed to investigate biomarkers that could be used to differentiate BD from MDD. Methods Nuclear magnetic resonance (NMR) spectroscopy was performed to assess serum metabolic profiles in depressed patients with BD (n = 59), patients with MDD (n = 14), and healthy controls (n = 10). Data was analyzed using partial least squares discriminant analysis, orthogonal partial least squares discriminant analysis and t-tests. Different metabolites (VIP > 1 and p < 0.05) were identified and further analyzed using Metabo Analyst 5.0 to identify relevant metabolic pathways. Results The metabolic phenotypes of the BD and MDD groups were significantly different from those of the healthy controls, and there were different metabolite differences between them. In the BD group, the levels of 3-hydroxybutyric acid, n-acetyl glycoprotein, β-glucose, pantothenic acid, mannose, glycerol, and lipids were significantly higher than those in the healthy control group, and the levels of lactate and acetoacetate were significantly lower than those in the healthy control group. In the MDD group, the levels of 3-hydroxybutyric acid, n-acetyl glycoprotein, pyruvate, choline, acetoacetic acid, and lipids were significantly higher than those of healthy controls, and the levels of acetic acid and glycerol were significantly lower than those of healthy controls. Conclusion Glycerolipid metabolism is significantly involved in BD and MDD. Pyruvate metabolism is significantly involved in MDD. Pyruvate, choline, and acetate may be potential biomarkers for MDD to distinguish from BD, and pantothenic acid may be a potential biomarker for BD to distinguish from MDD.
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Affiliation(s)
- Xiao-Li Sun
- Department of Psychiatry, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, China
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Li-Na Ma
- Department of Psychiatry, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, China
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhen-Zhu Chen
- Department of Psychiatry, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, China
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan-Bing Xiong
- Department of Psychiatry, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, China
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jiao Jia
- Department of Psychiatry, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, China
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yu Wang
- Changzhi Mental Health Center, Changzhi, China
| | - Yan Ren
- Department of Psychiatry, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, China
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Grover S, Sahoo S, Mishra KK, Deep R, Nebhinani N, Bhattacharya R, Aneja J, Kalivayalil RA, Chaterjee SS, Menon V, Subramanyam AA, Punnoose VP, Desouza A, Mehra A, Subodh BN, Avasthi A. Prevalence of mixed features in patients with first-episode depression: An exploratory multicentric study. Indian J Psychiatry 2023; 65:671-679. [PMID: 37485405 PMCID: PMC10358806 DOI: 10.4103/indianjpsychiatry.indianjpsychiatry_113_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 04/22/2023] [Accepted: 05/06/2023] [Indexed: 07/25/2023] Open
Abstract
Background and Aim There is limited literature on the prevalence of mixed features in patients with depression, especially from countries in Asia. Our aim was to evaluate the prevalence of "mixed features" in patients with first-episode depression. Materials and Methods Patients with first-episode depression were evaluated for the presence of mixed features as per the Diagnostic and Statistical Manual (DSM)-5 criteria. They were additionally evaluated on Hamilton Depression Rating Scale (HDRS) and Young Mania Rating Scale (YMRS). Results About one-sixth (16%) of the patients fulfilled the DSM-5 criteria for the mixed features specifier. The most common manic/hypomanic clinical feature was increased talkativeness or pressure of speech, followed by elevated expansive mood (12.5%), and inflated self-esteem or grandiosity was the least common feature (8.7%). Those with mixed features had higher prevalence of comorbid tobacco dependence and psychotic symptoms. In terms of frequency of depressive symptoms as assessed on HDRS, compared to those without mixed features, those with mixed features had higher frequency of symptoms such as depressed mood, insomnia during early hours of morning, work and activities, agitation, gastrointestinal somatic symptoms, genital symptoms, hypochondriasis, and poorer insight. Conclusion Mixed features specifier criteria were fulfilled by 16% patients with first-episode depression. This finding suggests that the extension of this specifier to depression can be considered as a useful step in understanding the symptom profile of patients with depression.
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Affiliation(s)
- Sandeep Grover
- Department of Psychiatry, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Swapnajeet Sahoo
- Department of Psychiatry, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Kshirod K. Mishra
- Department of Psychiatry, Mahatma Gandhi Institute of Medical Sciences, Sevagram, Maharashtra, India
| | - Raman Deep
- Department of Psychiatry, All India Institute of Medical Sciences, New Delhi, India
| | - Naresh Nebhinani
- Department of Psychiatry, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India
| | - Ranjan Bhattacharya
- Department of Psychiatry, Murshidabad Medical College and Hospital, Murshidabad, West Bengal, India
| | - Jitender Aneja
- Department of Psychiatry, All India Institute of Medical Sciences, Bathinda, Punjab, India
| | - Roy A. Kalivayalil
- Department of Psychiatry, Pushpagiri Institute of Medical Sciences and Research Centre, Thiruvalla, Kerala, India
| | - Seshadri S. Chaterjee
- Department of Psychiatry, Diamond Harbour Government Medical College and Hospital, West Bengal, India
| | - Vikas Menon
- Department of Psychiatry, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India
| | - Alka A. Subramanyam
- Department of Psychiatry, TNMC and BYL Nair Medical College, Mumbai, Maharashtra, India
| | | | - Avinash Desouza
- Department of Psychiatry, LTM Medical College, Mumbai, Maharashtra, India
| | - Aseem Mehra
- Department of Psychiatry, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - BN Subodh
- Department of Psychiatry, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Ajit Avasthi
- Department of Psychiatry, Post Graduate Institute of Medical Education and Research, Chandigarh, India
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Mineo L, Rodolico A, Spedicato GA, Aguglia A, Bolognesi S, Concerto C, Cuomo A, Goracci A, Serafini G, Maina G, Fagiolini A, Amore M, Aguglia E. Which mixed depression model? A comparison between DSM-5-defined mixed features and Koukopoulos' criteria. Bipolar Disord 2022; 24:530-538. [PMID: 34846773 DOI: 10.1111/bdi.13166] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND The criteria of the Diagnostic and Statistical Manual of Mental Disorders 5th edition "with mixed features specifier" (DSM-5 MFS) are considered controversial since they include only typical manic symptoms. By contrast, Koukopoulos developed an alternative model of mixed depression (MxD) focusing primarily on the excitatory component. OBJECTIVE To compare DSM-5 MFS and Koukopoulos' MxD (KMxD) in terms of prevalence, associated clinical variables, and discriminative capacity for bipolar depression in patients with major depressive episode (MDE). METHODS A total of 300 patients with MDE-155 with major depressive disorder and 145 with bipolar disorder (BD)-were recruited. The discriminative capacity of DSM-5 MFS and KMxD criteria for BD was estimated using the area under the curves of receiver operating characteristic (ROC_AUC). The clinical variables associated with these two diagnostic constructs were assessed by performing a logistic regression. RESULTS A total of 44 and 165 patients met the DSM-5 MFS and KMxD criteria, respectively. The ROC_AUCs and their confidence intervals for BD according to DSM-5 MFS and KMxD were 77.0% (72.0%-82.1%) and 71.9% (66.2%-77.7%), respectively. The optimal thresholds (combining sensitivity and specificity measures) for BD diagnosis were ≥1 (77%/68%) for DSM-5 MFS and ≥3 symptoms (78%/66%) for KMxD. However, considering the DSM-5 MFS cut-off (≥3 symptoms), the specificity (97%) increased at the expense of sensitivity (26%). CONCLUSIONS KMxD and DSM-5-MFS showed an overlapping discriminative capacity for bipolar depression. The current diagnostic threshold of DSM-5 MFS did not prove to be very inclusive, if compared with the greater diagnostic sensitivity of KMxD, which also yielded better association with clinical variables related to mixedness.
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Affiliation(s)
- Ludovico Mineo
- Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy
| | - Alessandro Rodolico
- Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy
| | - Giorgio A Spedicato
- Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, Italy
| | - Andrea Aguglia
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Simone Bolognesi
- Department of Molecular Medicine, University of Siena, Siena, Italy
| | - Carmen Concerto
- Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy
| | - Alessandro Cuomo
- Department of Molecular Medicine, University of Siena, Siena, Italy
| | - Arianna Goracci
- Department of Molecular Medicine, University of Siena, Siena, Italy
| | - Gianluca Serafini
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Giuseppe Maina
- Rita Levi Montalcini Department of Neuroscience, University of Turin, University Hospital San Luigi Gonzaga, Turin, Italy
| | - Andrea Fagiolini
- Department of Molecular Medicine, University of Siena, Siena, Italy
| | - Mario Amore
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Eugenio Aguglia
- Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy
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Mineo L, Rodolico A, Spedicato GA, Aguglia A, Bolognesi S, Concerto C, Cuomo A, Goracci A, Maina G, Fagiolini A, Amore M, Aguglia E. Exploration of mood spectrum symptoms during a major depressive episode: The impact of contrapolarity-Results from a transdiagnostic cluster analysis on an Italian sample of unipolar and bipolar patients. Eur Psychiatry 2022; 65:e30. [PMID: 35638732 PMCID: PMC9158398 DOI: 10.1192/j.eurpsy.2022.20] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Abstract
Background Subthreshold hypomania during a major depressive episode challenges the bipolar-unipolar dichotomy. In our study we employed a cross-diagnostic cluster analysis - to identify distinct subgroups within a cohort of depressed patients. Methods A k-means cluster analysis— based on the domain scores of the Mood Spectrum Self-Report (MOODS-SR) questionnaire—was performed on a data set of 300 adults with either bipolar or unipolar depression. After identifying groups, between-clusters comparisons were conducted on MOODS-SR domains and factors and on a set of sociodemographic, clinical and psychometric variables. Results Three clusters were identified: one with intermediate depressive and poor manic symptomatology (Mild), one with severe depressive and poor manic symptomatology (Moderate), and a third one with severe depressive and intermediate manic symptomatology (Mixed). Across the clusters, bipolar patients were significantly less represented in the Mild one, while the DSM-5 “Mixed features” specifier did not differentiate the groups. When compared to the other patients, those of Mixed cluster exhibited a stronger association with most of the illness-severity, quality of life, and outcomes measures considered. After performing pairwise comparisons significant differences between “Mixed” and “Moderate” clusters were restricted to: current and disease-onset age, psychotic ideation, suicidal attempts, hospitalization numbers, impulsivity levels and comorbidity for Cluster B personality disorder. Conclusions In the present study, a clustering approach based on a spectrum exploration of mood symptomatology led to the identification of three transdiagnostic groups of patients. Consistent with our hypothesis, the magnitude of subthreshold (hypo)manic symptoms was related to a greater clinical severity, regardless of the main categorical diagnosis.
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Affiliation(s)
- Ludovico Mineo
- Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy
| | - Alessandro Rodolico
- Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy
| | | | - Andrea Aguglia
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy.,IRCCS Ospedale Policlinico San Martino, Department of Neurosciences, Genoa, Italy
| | - Simone Bolognesi
- Department of Molecular Medicine, University of Siena, Siena, Italy
| | - Carmen Concerto
- Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy
| | - Alessandro Cuomo
- Department of Molecular Medicine, University of Siena, Siena, Italy
| | - Arianna Goracci
- Department of Molecular Medicine, University of Siena, Siena, Italy
| | - Giuseppe Maina
- Rita Levi Montalcini Department of Neuroscience, University of Turin, University Hospital San Luigi Gonzaga, Turin, Italy
| | - Andrea Fagiolini
- Department of Molecular Medicine, University of Siena, Siena, Italy
| | - Mario Amore
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy.,IRCCS Ospedale Policlinico San Martino, Department of Neurosciences, Genoa, Italy
| | - Eugenio Aguglia
- Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy
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Takeshima M. Guidelines for the management of patients with bipolar disorder with mixed presentations: Will the updated recommendations help the clinician? Bipolar Disord 2022; 24:82-83. [PMID: 34695273 DOI: 10.1111/bdi.13147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Minoru Takeshima
- Department of Psychiatry, Meishin-kai Shibata Hospital, Takaoka, Japan.,Department of Psychiatry, Tokyo Medical University, Tokyo, Japan
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7
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Natale A, Mineo L, Fusar-Poli L, Aguglia A, Rodolico A, Tusconi M, Amerio A, Serafini G, Amore M, Aguglia E. Mixed Depression: A Mini-Review to Guide Clinical Practice and Future Research Developments. Brain Sci 2022; 12:92. [PMID: 35053835 PMCID: PMC8773514 DOI: 10.3390/brainsci12010092] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 01/04/2022] [Accepted: 01/07/2022] [Indexed: 12/28/2022] Open
Abstract
The debate on mixed states (MS) has been intense for decades. However, several points remain controversial from a nosographic, diagnostic, and therapeutic point of view. The different perspectives that have emerged over the years have turned into a large, but heterogeneous, literature body. The present review aims to summarize the evidence on MS, with a particular focus on mixed depression (MxD), in order to provide a guide for clinicians and encourage the development of future research on the topic. First, we review the history of MS, focusing on their different interpretations and categorizations over the centuries. In this section, we also report alternative models to traditional nosography. Second, we describe the main clinical features of MxD and list the most reliable assessment tools. Finally, we summarize the recommendations provided by the main international guidelines for the treatment of MxD. Our review highlights that the different conceptualizations of MS and MxD, the variability of clinical pictures, and the heterogeneous response to pharmacological treatment make MxD a real challenge for clinicians. Further studies are needed to better characterize the phenotypes of patients with MxD to help clinicians in the management of this delicate condition.
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Affiliation(s)
- Antimo Natale
- Psychiatry Unit, Department of Clinical and Experimental Medicine, University of Catania, 95123 Catania, Italy; (L.M.); (L.F.-P.); (A.R.); (E.A.)
| | - Ludovico Mineo
- Psychiatry Unit, Department of Clinical and Experimental Medicine, University of Catania, 95123 Catania, Italy; (L.M.); (L.F.-P.); (A.R.); (E.A.)
| | - Laura Fusar-Poli
- Psychiatry Unit, Department of Clinical and Experimental Medicine, University of Catania, 95123 Catania, Italy; (L.M.); (L.F.-P.); (A.R.); (E.A.)
| | - Andrea Aguglia
- Section of Psychiatry, Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, 16126 Genoa, Italy; (A.A.); (A.A.); (G.S.); (M.A.)
- IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy
| | - Alessandro Rodolico
- Psychiatry Unit, Department of Clinical and Experimental Medicine, University of Catania, 95123 Catania, Italy; (L.M.); (L.F.-P.); (A.R.); (E.A.)
| | - Massimo Tusconi
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, 09042 Cagliari, Italy;
| | - Andrea Amerio
- Section of Psychiatry, Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, 16126 Genoa, Italy; (A.A.); (A.A.); (G.S.); (M.A.)
- IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy
| | - Gianluca Serafini
- Section of Psychiatry, Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, 16126 Genoa, Italy; (A.A.); (A.A.); (G.S.); (M.A.)
- IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy
| | - Mario Amore
- Section of Psychiatry, Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, 16126 Genoa, Italy; (A.A.); (A.A.); (G.S.); (M.A.)
- IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy
| | - Eugenio Aguglia
- Psychiatry Unit, Department of Clinical and Experimental Medicine, University of Catania, 95123 Catania, Italy; (L.M.); (L.F.-P.); (A.R.); (E.A.)
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Treatment of mixed depression with theta-burst stimulation (TBS): results from a double-blind, randomized, sham-controlled clinical trial. Neuropsychopharmacology 2021; 46:2257-2265. [PMID: 34193961 PMCID: PMC8580982 DOI: 10.1038/s41386-021-01080-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Revised: 06/16/2021] [Accepted: 06/18/2021] [Indexed: 02/06/2023]
Abstract
Mixed depression is probably different in terms of clinical course and response to treatment. Repetitive transcranial magnetic stimulation (rTMS) is well established in non-mixed depression, and theta-burst stimulation (TBS) protocol is replacing conventional protocols because of noninferiority and reduced delivery time. However, TBS has not been adequately studied in mixed states. This study was a double-blind, six-week, sham-controlled, and randomized clinical trial of bilateral TBS targeting the right and left dorsolateral prefrontal cortex, respectively. Adults with bipolar and major depressive disorder experiencing an acute mixed depression were eligible if they had not benefited from a first- or second-line treatment for acute unipolar or bipolar depression recommended by the Canadian Network for Mood and Anxiety Treatments. Out of 100 patients included, 90 composed modified intention-to-treat sample, which was patients that completed at least one week of the intervention. There were no significant differences in Montgomery-Asberg depression rating scale score changes (least squares mean difference between groups at week 3, -0.06 [95% CI, - 3.39 to 3.51; P = 0.97] in favor of sham TBS). Response and remission rates per MADRS were also not statistically different among active and sham groups (35.7% vs. 43.7%, and 28.5% vs. 37.5% respectively at week 6, ps > 0.51). No other analyses from baseline to weeks 3 or 6 revealed significant time x group interaction or mean differences among groups in the mITT sample. Bilateral TBS targeting the DLPFC is not efficacious as an add-on treatment of acute bipolar and unipolar mixed depression. ClinicalTrials.govIdentifier: NCT04123301.
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The relationship between depression with anxious distress DSM-5 specifier and mixed depression: a network analysis. CNS Spectr 2021; 26:251-257. [PMID: 32122436 DOI: 10.1017/s1092852920000085] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
INTRODUCTION Epidemiological, clinical, and treatment response characteristics of major depression with anxious distress (ADS) are quite similar to those of mixed depression, but no study investigated the symptom interplay of these conditions. OBJECTIVE To analyze the correlations among symptom criteria for major depression with ADS and for mixed depression using a network analysis. METHODS Two hundred and forty-one outpatients with major depression were consecutively recruited. DSM-5 criteria for major depression with ADS or with mixed features (MF) and Koukopoulos' criteria for mixed depression (MXD) were assessed using a structured clinical interview. RESULTS A total of 58.9% of patients met DSM-5 criteria for major depression with ADS, 48.5% for MXD, and 2.5% for major depression with MF, so that the symptoms of this specifier were excluded from the network analysis. The most frequent symptoms were difficulty concentrating due to worries (57.7%), feeling keyed up or on edge (51%) (major depression with ADS), and psychic agitation or inner tension (51%) (MXD). Psychic agitation or inner tension had a central position in the network and bridged MXD to major depression with ADS through feeling keyed up or on edge. CONCLUSIONS Criteria for major depression with ADS and for MXD are partially overlapping, with psychic agitation or inner tension and feeling keyed up or on edge that feature in both conditions and are difficult to distinguish in clinical practice. The clarification of the relationship between these two psychopathological conditions could bring important implications for diagnosis, prognosis, and treatment of depressive episodes.
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Zamami Y, Shinzato H, Kurihara K, Koda M, Nakamura A, Kondo T. Prevalence and profile of depressive mixed state in patients with autism spectrum disorder. Psychiatry Res 2021; 300:113932. [PMID: 33887519 DOI: 10.1016/j.psychres.2021.113932] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Accepted: 04/08/2021] [Indexed: 10/21/2022]
Abstract
PURPOSE The present study aimed to clarify prevalence and profile of depressive mixed state (DMX) in depressed individuals with autism spectrum disorder (ASD). PATIENTS AND METHODS The Quick Inventory of Depressive Symptomatology Self-Report Japanese version (QIDS-SR-J) and global assessment of functioning (GAF) were administered to 182 consecutive patients (36 ASD and 146 non-ASD subjects) with a major depressive episode (MDE). DMX was categorically diagnosed according to the criteria for mixed depression (MD) by Benazzi and mixed features (MF) specifier by DSM-5. Severity of DMX was assessed by the self-administered 12-item questionnaire for DMX (DMX-12). Clinical backgrounds and incidence/severity of DMX were compared between the ASD and non-ASD groups. RESULTS ASD patients showed higher prevalence of MD than non-ASD patients (36.1% versus 18.5%). Mood lability, distractibility, impulsivity, aggression, irritability, dysphoria and risk-taking behavior as mixed symptoms were more prevalent in ASD patients than those in non-ASD patients, together with higher scores of total DMX-12 and its disruptive emotion/behavior cluster. Multiple regression analysis revealed significant contribution of ASD to the disruptive emotion/behavior symptoms. CONCLUSION Careful monitoring and management of potential DMX are warranted in depressed ASD individuals.
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Affiliation(s)
- Yu Zamami
- Department of Neuropsychiatry, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan
| | - Hotaka Shinzato
- Department of Neuropsychiatry, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan; Department of Psychiatry and Neurosciences, Graduate School of Biomedical Sciences, Hiroshima University, Hiroshima, Japan.
| | - Kazuhiro Kurihara
- Department of Neuropsychiatry, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan
| | - Munenaga Koda
- Department of Neuropsychiatry, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan; Graduate School of Technology, Industrial and Social Sciences, Tokushima University, Japan
| | - Akifumi Nakamura
- Department of Neuropsychiatry, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan; Department of Psychiatry, Akari Clinic, Okinawa, Japan
| | - Tsuyoshi Kondo
- Department of Neuropsychiatry, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan
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11
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Na KS, Kang JM, Cho SE. Prevalence of DSM-5 mixed features: A meta-analysis and systematic review. J Affect Disord 2021; 282:203-210. [PMID: 33418368 DOI: 10.1016/j.jad.2020.12.149] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Revised: 11/28/2020] [Accepted: 12/24/2020] [Indexed: 11/15/2022]
Abstract
BACKGROUND The definition of mixed features by the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) remains controversal; however, there has been no systematic review of the prevalence of DSM-5 mixed features. We conducted a meta-analysis and systematic review to examine the prevalence of DSM-5-defined mixed features in major depressive episodes (MDE) and manic/hypomanic episodes. METHODS We systematically searched all literature types (i.e., observational, cross-sectional, cohort, retrospective chart review, and post-hoc analysis) in electronic databases including MEDLINE, Embase, CINAHL, PsycINFO, and Web of Science from 2013 to 2020. RESULTS A total of 17 studies with 20 samples were selected. The pooled prevalences of the mixed features in MDE and manic/hypomanic episodes were 11.6% (95% confidence interval [CI] = 7.9-16.7%) and 26.8 (95% CI = 17.0-39.5%), respectively. The prevalence of mixed features during major depressive disorder in East Asian countries was the lowest, which ranged from 0-2.2%. The subgroup analysis did not identify any influential factors for substantial heterogeneity. Most of the individual studies demonstrated moderate to high risk of bias. CONCLUSIONS Despite the increasing attention and controversy surrounding DSM-5-defined mixed features, few studies have systematically estimated the prevalence. Future studies with appropriate design and sample sizes should measure the prevalence of mixed features during MDE and manic/hypomanic episodes.
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Affiliation(s)
- Kyoung-Sae Na
- Department of Psychiatry, Gachon University College of Medicine, Gil Medical Center, Incheon, Republic of Korea
| | - Jae Myeong Kang
- Department of Psychiatry, Gachon University College of Medicine, Gil Medical Center, Incheon, Republic of Korea
| | - Seo-Eun Cho
- Department of Psychiatry, Gachon University College of Medicine, Gil Medical Center, Incheon, Republic of Korea.
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12
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Galimberti C, Caricasole V, Bosi MF, Viganò CA, Ketter TA, Dell'Osso B. Clinical features and patterns of psychopharmacological prescription in bipolar patients with vs without anxiety disorders at onset. Early Interv Psychiatry 2020; 14:714-722. [PMID: 31733039 DOI: 10.1111/eip.12900] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2019] [Revised: 09/17/2019] [Accepted: 10/19/2019] [Indexed: 11/30/2022]
Abstract
AIM Up to just over half of bipolar disorder (BD) patients report at least one-lifetime anxiety disorder (AD). In some, anxiety represents the earliest psychiatric manifestation, prior to any mood episode. We sought to investigate prevalence of AD subtypes as first psychiatric manifestations and AD's relations with duration of untreated illness (DUI) and treatment among BD outpatients. METHODS We recruited patients referred to the Centre for the Treatment of Depressive Disorders in Milan, diagnosed with BD-I, BD-II, BD not otherwise specified (BD-NOS) and cyclothymia according to Diagnostic and Statistical Manual fourth edition-text revision criteria. Several clinical characteristics were assessed through retrospective chart review and/or direct patient interviews. Based on presence/absence of an AD at psychiatric onset, eligible subjects were stratified into two groups (A+ and A-) and clinical features were compared between these groups and between BD subtypes. RESULTS We analysed 260 BD patients (77 BD-I, 122 BD-II, 45 BD-NOS and 16 cyclothymia). An AD was the first psychiatric manifestation in 69 patients (26.5%). BD-II and BD-NOS more frequently had an AD at psychiatric onset, with panic disorder being the most common AD. Among A+ vs A-, age at BD onset was younger, duration of untreated BD illness (DUI) was longer, and a mood stabilizer/antipsychotic was less often prescribed at psychiatric onset. CONCLUSIONS Considering BD in its longitudinal course, over one in four BD patients presenting with an AD at psychiatric onset belatedly access adequate treatment, with subsequent prolonged DUI and prospective worse outcome compared to patients with a mood episode at psychiatric onset.
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Affiliation(s)
- Cesare Galimberti
- Psychiatry Unit, Department of Biomedical and Clinical Sciences "Luigi Sacco", University of Milan, Milan, Italy
| | - Valentina Caricasole
- Psychiatry Unit, Department of Biomedical and Clinical Sciences "Luigi Sacco", University of Milan, Milan, Italy
| | - Monica F Bosi
- Psychiatry Unit, Department of Biomedical and Clinical Sciences "Luigi Sacco", University of Milan, Milan, Italy
| | - Caterina A Viganò
- Psychiatry Unit, Department of Biomedical and Clinical Sciences "Luigi Sacco", University of Milan, Milan, Italy
| | - Terence A Ketter
- Department of Psychiatry and Behavioural Sciences, Bipolar Disorders Clinic, Stanford University, California
| | - Bernardo Dell'Osso
- Psychiatry Unit, Department of Biomedical and Clinical Sciences "Luigi Sacco", University of Milan, Milan, Italy.,Department of Psychiatry and Behavioural Sciences, Bipolar Disorders Clinic, Stanford University, California.,CRC "Aldo Ravelli" for Neurotechnology and Experimental Brain Therapeutics, University of Milan, Milan, Italy
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13
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Clinical correlates of DSM-5 mixed features in bipolar disorder: A meta-analysis. J Affect Disord 2020; 276:234-240. [PMID: 32697704 DOI: 10.1016/j.jad.2020.07.035] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Revised: 06/13/2020] [Accepted: 07/12/2020] [Indexed: 11/24/2022]
Abstract
BACKGROUND Systematic data on clinical correlates of mixed features in bipolar disorder are not available, so far. We conducted a systematic review and meta-analysis estimating the association between DSM-5 mixed features and candidate characteristics in depressive and manic/hypomanic episodes. METHODS We included observational studies indexed in the main electronic databases. The association between DSM-5 mixed features and relevant correlates was estimated using odds ratio (OR) and standardized mean difference (SMD) with 95% confidence intervals (CIs), for categorical and continuous variables, respectively. Analyses were based on random effects models. RESULTS Eight studies were included, involving 3070 individuals (1495 with a major depressive episode and 1575 with hypo/manic episode). No clinical characteristics were associated with mixed features in subjects with a depressive episode. Among subjects with a manic/hypomanic episode, those with mixed features were more likely to have a history of suicide attempts (OR: 2.37; 95%CI: 1.42 to 3.94; I2=39.7%), co-occurring anxiety disorders (OR: 2.67; 95%CI: 1.28 to 5.57; I2=0%), and a rapid cycling course (OR=4.23; 95%CI: 1.29 to 13.81; I2=0%), with less severe manic symptoms (SMD=-0.40; 95%CI: -0.65 to -0.16; I2=0%). LIMITATIONS (1) the heterogeneity of methods across studies and the inconsistency of findings; (2) the limited amount of data on correlates of DSM-5 mixed features; (3) the possible influence of publication bias. CONCLUSIONS Findings of this meta-analysis show that mixed features among individuals with a manic/hypomanic episode may identify a special clinical population, characterized not only by depressive symptoms, but also by anxiety, rapid cycling, and suicidality.
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14
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The 12-Item Self-Rating Questionnaire for Depressive Mixed State (DMX-12) for Screening of Mixed Depression and Mixed Features. Brain Sci 2020; 10:brainsci10100678. [PMID: 32992474 PMCID: PMC7601672 DOI: 10.3390/brainsci10100678] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Revised: 09/17/2020] [Accepted: 09/25/2020] [Indexed: 12/22/2022] Open
Abstract
For simultaneous screening of mixed features (MF) by DSM-5 and mixed depression (MD) by Benazzi, useful symptoms were extracted from our 12-item dimensional scale for depressive mixed state (DMX-12). Subjects were 190 consecutive cases with major depressive episode (MDE) who visited our clinic. Associations between symptomatological combinations of the DMX-12 and MF or MD were analyzed using receiver operating characteristic (ROC). The rate of MF was 4.2% while that of MD was 22.6%. Eight symptoms (overreactivity, inner tension, racing/crowded thought, impulsivity, irritability, aggression, risk-taking behavior, and dysphoria) with their AUC > 0.6 for ROC curves were specially focused on distinguishing patients with MF or MD from non-mixed patients. By using these 8 symptoms, 40.5% of the overall patients were screened as positive at the same cut-off value (≥13) for both MD and MF. The AUC of ROC curve and sensitivity/specificity were well balanced together with sufficient negative predictive values. The abovementioned 8 symptoms seem to be helpful for primary screening and negative check of DMX with considerable severity during MDE.
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15
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Bertschy G, Weibel S, Giersch A, Weiner L. Racing and crowded thoughts in mood disorders: A data-oriented theoretical reappraisal. Encephale 2020; 46:202-208. [DOI: 10.1016/j.encep.2020.01.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2019] [Revised: 01/20/2020] [Accepted: 01/23/2020] [Indexed: 10/24/2022]
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16
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Pacchiarotti I, Kotzalidis GD, Murru A, Mazzarini L, Rapinesi C, Valentí M, Anmella G, Gomes-da-Costa S, Gimenez A, Llach C, Perugi G, Vieta E, Verdolini N. Mixed Features in Depression: The Unmet Needs of Diagnostic and Statistical Manual of Mental Disorders Fifth Edition. Psychiatr Clin North Am 2020; 43:59-68. [PMID: 32008688 DOI: 10.1016/j.psc.2019.10.006] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
The Diagnostic and Statistical Manual of Mental Disorders Fifth Edition introduced the specifier "with mixed features" including 3 or more nonoverlapping typical manic symptoms during a major depressive episode in bipolar disorder type I or II or unipolar major depressive disorder. Excluding overlapping excitatory symptoms, which are frequently observed in mixed depression, leaves many patients with mixed depression undiagnosed. As a consequence, alternative diagnostic criteria have been proposed, claiming for the inclusion in the rubric of mixed features the following symptoms: psychomotor agitation, mood lability, and aggressiveness. A deeper diagnostic reconsideration of mixed features in depression should be provided by the new nosologic classification systems.
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Affiliation(s)
- Isabella Pacchiarotti
- Barcelona Bipolar and Depressive Disorders Program, Hospital Clinic, University of Barcelona, Institute of Neuroscience, IDIBAPS, CIBERSAM, 170 Villarroel st, 12-0, Barcelona, Catalonia 08036, Spain
| | - Giorgio D Kotzalidis
- Neurosciences, Mental Health, and Sensory Organs (NESMOS) Department, Faculty of Medicine and Psychology, Sapienza University, Sant'Andrea University Hospital, UOC Psichiatria, Via di Grottarossa 1035-1039, Rome 00189, Italy
| | - Andrea Murru
- Barcelona Bipolar and Depressive Disorders Program, Hospital Clinic, University of Barcelona, Institute of Neuroscience, IDIBAPS, CIBERSAM, 170 Villarroel st, 12-0, Barcelona, Catalonia 08036, Spain
| | - Lorenzo Mazzarini
- Neurosciences, Mental Health, and Sensory Organs (NESMOS) Department, Faculty of Medicine and Psychology, Sapienza University, Sant'Andrea University Hospital, UOC Psichiatria, Via di Grottarossa 1035-1039, Rome 00189, Italy
| | - Chiara Rapinesi
- Neurosciences, Mental Health, and Sensory Organs (NESMOS) Department, Faculty of Medicine and Psychology, Sapienza University, Sant'Andrea University Hospital, UOC Psichiatria, Via di Grottarossa 1035-1039, Rome 00189, Italy
| | - Marc Valentí
- Barcelona Bipolar and Depressive Disorders Program, Hospital Clinic, University of Barcelona, Institute of Neuroscience, IDIBAPS, CIBERSAM, 170 Villarroel st, 12-0, Barcelona, Catalonia 08036, Spain
| | - Gerard Anmella
- Barcelona Bipolar and Depressive Disorders Program, Hospital Clinic, University of Barcelona, Institute of Neuroscience, IDIBAPS, CIBERSAM, 170 Villarroel st, 12-0, Barcelona, Catalonia 08036, Spain
| | - Susana Gomes-da-Costa
- Barcelona Bipolar and Depressive Disorders Program, Hospital Clinic, University of Barcelona, Institute of Neuroscience, IDIBAPS, CIBERSAM, 170 Villarroel st, 12-0, Barcelona, Catalonia 08036, Spain
| | - Anna Gimenez
- Barcelona Bipolar and Depressive Disorders Program, Hospital Clinic, University of Barcelona, Institute of Neuroscience, IDIBAPS, CIBERSAM, 170 Villarroel st, 12-0, Barcelona, Catalonia 08036, Spain
| | - Cristian Llach
- Barcelona Bipolar and Depressive Disorders Program, Hospital Clinic, University of Barcelona, Institute of Neuroscience, IDIBAPS, CIBERSAM, 170 Villarroel st, 12-0, Barcelona, Catalonia 08036, Spain
| | - Giulio Perugi
- Department of Clinical and Experimental Medicine, University of Pisa, Via Roma 67, Pisa 56100, Italy
| | - Eduard Vieta
- Barcelona Bipolar and Depressive Disorders Program, Hospital Clinic, University of Barcelona, Institute of Neuroscience, IDIBAPS, CIBERSAM, 170 Villarroel st, 12-0, Barcelona, Catalonia 08036, Spain.
| | - Norma Verdolini
- Barcelona Bipolar and Depressive Disorders Program, Hospital Clinic, University of Barcelona, Institute of Neuroscience, IDIBAPS, CIBERSAM, 170 Villarroel st, 12-0, Barcelona, Catalonia 08036, Spain
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17
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Tavares DF, Dos Santos CGR, Valiengo LDCL, Klein I, Borrione L, Forte PM, Brunoni AR, Moreno RA. Efficacy, Safety, and Tolerability of Theta-Burst Stimulation in Mixed Depression: Design, Rationale, and Objectives of a Randomized, Double-Blinded, Sham-Controlled Trial. Front Psychiatry 2020; 11:435. [PMID: 32499730 PMCID: PMC7242745 DOI: 10.3389/fpsyt.2020.00435] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Accepted: 04/28/2020] [Indexed: 11/13/2022] Open
Abstract
INTRODUCTION Mixed-specifier mood disorders are probably a different subgroup in terms of response to treatment, socio-demographic parameters, course, and family history. Here we describe the rationale and design of a clinical trial aimed to test the efficacy, safety, and tolerability of a non-pharmacological treatment known as theta-burst stimulation (TBS) for treating the mixed depressive episodes of both bipolar (I or II), and unipolar depression. METHODS The study is designed as a randomized, sham-controlled, double-blinded clinical trial evaluating TBS for the treatment of moderate or severe major depressive episodes with mixed features of patients receiving at least one first or second-line pharmacological treatment for depressive episodes without adequate response. Ninety adult (18 to 65 years old) patients will be enrolled and submitted to 6-week (comprising 5 consecutive days a week sessions for the first 3 weeks and then 2 days a week for a further 3 week) of inhibitory followed by excitatory TBS in dorsolateral prefrontal cortex. Participants will be assessed using clinical and neuropsychological tests before and after the intervention. The primary outcome is change in Montgomery-Åsberg Depression Scale (MADRS) score over time and across groups. Cognitive parameters will also be assessed with neuropsychological tests. RESULTS The clinical results will provide evidence about TBS as an adjunctive treatment for mixed depression treatment and neuropsychological parameters will contribute toward an improved understanding the effects of TBS in cognition. CONCLUSION Our results could introduce a novel therapeutic technique for mixed depressive episodes of both bipolar and unipolar disorders. CLINICAL TRIAL REGISTRATION www.ClinicalTrials.gov, identifier NCT04123301; date of registration: 10/10/2019; URL: https://clinicaltrials.gov/ct2/show/NCT04123301?term=NCT04123301&rank=1.
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Affiliation(s)
| | | | | | - Izio Klein
- Department of Psychiatry, University of São Paulo, São Paulo, Brazil
| | - Lucas Borrione
- Department of Psychiatry, University of São Paulo, São Paulo, Brazil
| | | | - Andre R Brunoni
- Department of Psychiatry, University of São Paulo, São Paulo, Brazil
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18
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Shahin I, Bonnin CDM, Saleh E, Helmy K, Youssef UM, Vieta E. Validity of the Shahin Mixed Depression Scale: A Self-Rated Instrument Designed to Measure the Non-DSM Mixed Features in Depression. Neuropsychiatr Dis Treat 2020; 16:2209-2219. [PMID: 33061391 PMCID: PMC7532079 DOI: 10.2147/ndt.s259996] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2020] [Accepted: 09/02/2020] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND The DSM5-defined mixed features in depression do not include psychomotor agitation, irritability or distractibility because they are considered overlapping symptoms. A growing number of modern psychiatrists have expressed dissatisfaction with this and proposed alternative sets of mixed symptoms that are much more common and clinically relevant. Among such alternative criteria were those proposed by Koukopoulos. He utilized the research diagnostic criteria of agitated depression (RDC-A) as a mixed depression subtype, and validated another form of mixed depression, the Koukopoulos criteria for mixed depression (K-DMX). PURPOSE This study provides psychometric validation for the first self-rated scale designed to measure the most common mixed symptoms in depression as proposed by Koukopoulos. PATIENTS AND METHODS We conducted a multicenter cross-sectional study of 170 patients with unipolar depression. They completed the Shahin Mixed Depression Scale (SMDS) and underwent expert interviews as a gold standard reference. SMDS' psychometric properties were assessed, including Cronbach's alpha, factor analysis, sensitivity, specificity, predictive value and accuracy. RESULTS We found significant association and agreement between mixity according to SMDS and the gold standard (K-DMX and RDC-A according to expert interview) with good internal consistency (Cronbach's alpha=0.87), high sensitivity (=91.4%), specificity (=98.0%), positive predictive value (=96.9%), negative predictive value (= 94.2%) and accuracy (=95.2%). Factor analysis identified one factor for psychomotor agitation and another for mixity without psychomotor agitation. CONCLUSION SMDS was a reliable and valid instrument for assessing the frequently encountered and clinically relevant mixed features in depression.
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Affiliation(s)
| | - Caterina Del Mar Bonnin
- Barcelona Bipolar Disorders and Depressive Unit, Hospital Clinic, Institute of Neuroscience, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Elsayed Saleh
- Department of Psychiatry, Mansoura University, Mansoura, Egypt
| | - Khaled Helmy
- Training and Research Unit, New Nozha Hospital, Alexandria, Egypt.,Ciconia Recovery London (CRL), London, UK
| | - Usama M Youssef
- Department of Psychiatry, Zagazig University, Zagazig, Egypt
| | - Eduard Vieta
- Barcelona Bipolar Disorders and Depressive Unit, Hospital Clinic, Institute of Neuroscience, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
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19
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Takeshima M. Early recognition and appropriate pharmacotherapy for mixed depression: the key to resolving complex or treatment-refractory clinical cases. ACTA ACUST UNITED AC 2019. [DOI: 10.5234/cnpt.10.10] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- Minoru Takeshima
- Meishinkai Shibata Hospital, Takaoka City, Japan
- Department of Psychiatry, Tokyo Medical University, Tokyo, Japan
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20
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Shim IH, Lee J, Kim MD, Jung YE, Min KJ, Kwon YJ, Kim JS, Lee K, Woo YS, Nam B, Seo JS, Lee JG, Jon DI, Sohn I, Park SY, Yoon BH, Bahk WM. The prevalence and diagnostic classification of mixed features in patients with major depressive episodes: A multicenter study based on the DSM-5. Int J Methods Psychiatr Res 2019; 28:e1773. [PMID: 30786322 PMCID: PMC6877217 DOI: 10.1002/mpr.1773] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2018] [Revised: 01/09/2019] [Accepted: 01/12/2019] [Indexed: 01/12/2023] Open
Abstract
OBJECTIVES The purpose of this study was to evaluate the prevalence of mixed features using the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) and to examine how patients with mixed states would be classified using the DSM-5. METHODS In total, 12 hospitals participated in this study, and data on the demographic characteristics and clinical diagnoses of patients treated between October 2013 and September 2016 were obtained. We reviewed the data for opposite-polarity symptoms according to the DSM-5 criteria and the research-based diagnostic criteria. RESULTS Of the 859 patients included in the final analysis, the prevalence of mixed features in patients with major depressive episodes based on the DSM-5 remained low. Patients with major depressive disorder were more likely to be classified as experiencing anxious distress and/or a cluster-B personality disorder in mixed state patients not diagnosed with DSM-5 mixed features, whereas more mixed state patients with bipolar disorder were diagnosed with mixed features using the DSM-5. CONCLUSIONS The prevalence of mixed features did not increase significantly when the DSM-5 was used, and patients with mixed states were more likely to be classified as having anxious distress and/or a cluster-B personality disorder in addition to mixed features.
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Affiliation(s)
- In Hee Shim
- Department of Psychiatry, Cancer Center, Dongnam Institute of Radiological and Medical Sciences, Busan, Republic of Korea
| | - Jonghun Lee
- Department of Psychiatry, Catholic University of Daegu School of Medicine, Daegu, Republic of Korea
| | - Moon-Doo Kim
- Department of Psychiatry, School of Medicine, Jeju National University, Jeju, Republic of Korea
| | - Young-Eun Jung
- Department of Psychiatry, School of Medicine, Jeju National University, Jeju, Republic of Korea
| | - Kyung Joon Min
- Department of Psychiatry, Chung-Ang University Hospital, Seoul, Republic of Korea
| | - Young-Joon Kwon
- Department of Psychiatry, Soonchunhyang University Cheonan Hospital, Soonchunhyang University, Cheonan, Republic of Korea
| | - Ji Sun Kim
- Department of Psychiatry, Soonchunhyang University Cheonan Hospital, Soonchunhyang University, Cheonan, Republic of Korea
| | - Kwanghun Lee
- Department of Psychiatry, College of Medicine, Dongguk University, Gyeongju, Republic of Korea
| | - Young Sup Woo
- Department of Psychiatry, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Beomwoo Nam
- Department of Psychiatry, School of Medicine, Konkuk University, Chungju, Republic of Korea
| | - Jeong Seok Seo
- Department of Psychiatry, School of Medicine, Konkuk University, Chungju, Republic of Korea
| | - Jung Goo Lee
- Department of Psychiatry, Haeundae Paik Hospital, College of Medicine, Inje University and Paik Institute for Clinical Research, Department of Health Science and Technology, Graduate School of Inje University, Busan, Republic of Korea
| | - Duk-In Jon
- Department of Psychiatry, Hallym University College of Medicine, Anyang, Republic of Korea
| | - Inki Sohn
- Department of Psychiatry, Keyo Hospital, Uiwang, Republic of Korea
| | - Sung-Yong Park
- Department of Psychiatry, Keyo Hospital, Uiwang, Republic of Korea
| | - Bo-Hyun Yoon
- Department of Psychiatry, Naju National Hospital, Naju, Republic of Korea
| | - Won-Myong Bahk
- Department of Psychiatry, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
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21
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Murru A, Guiso G, Barbuti M, Anmella G, Verdolini N, Samalin L, Azorin JM, Angst JJ, Bowden CL, Mosolov S, Young AH, Popovic D, Valdes M, Perugi G, Vieta E, Pacchiarotti I. The implications of hypersomnia in the context of major depression: Results from a large, international, observational study. Eur Neuropsychopharmacol 2019; 29:471-481. [PMID: 30846287 DOI: 10.1016/j.euroneuro.2019.02.011] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2018] [Revised: 01/31/2019] [Accepted: 02/14/2019] [Indexed: 02/07/2023]
Abstract
According to the DSM-5, "reduction in the need for sleep" is the only sleep-related criteria for mixed features in depressive episodes. We aimed at studying the prevalence, clinical correlates and the role of hypersomnia in a sample of acutely depressed patients. Secondarily, we factors significantly increasing the odds of hypersomnia were studied. We conducted a post-hoc analysis of the BRIDGE-II-Mix study. Variables were compared between patients with hypersomnia (SLEEP+) and with insomnia (SLEEP-) with standard bivariate tests. A stepwise backward logistic regression model was performed with SLEEP+ as dependent variable. A total of 2514 subjects were dichotomized into SLEEP+ (n = 423, 16.8%) and SLEEP- (n = 2091, 83.2%). SLEEP+ had significant higher rates of obese BMI (p < 0.001), BD diagnosis (p = 0.027), severe BD (p < 0.001), lifetime suicide attempts (p < 0.001), lower age at first depression (p = 0.004) than SLEEP-. Also, SLEEP+ had significantly poorer response to antidepressants (AD) such as (hypo)manic switches, AD resistance, affective lability, or irritability (all 0<0.005). Moreover, SLEEP+ had significantly higher rates of mixed-state specifiers than SLEEP- (all 0 < 0.006). A significant contribution to hypersomnia in our regression model was driven by metabolic-related features, such as "current bulimia" (OR = 4.21) and "overweight/obese BMI (OR = 1.42)". Globally, hypersomnia is associated with poor outcome in acute depression. Hypersomnia is strongly associated with mixed features and bipolarity. Metabolic aspects could influence the expression of hypersomnia, worsening the overall clinical outcome. Along with commonly used screening tools, detection of hypersomnia has potential, costless discriminative validity in the differential diagnosis unipolar and bipolar depression.
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Affiliation(s)
- A Murru
- Barcelona Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - G Guiso
- Barcelona Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain; Clinica Psichiatrica, Dipartimento di Igiene e Sanità, Università di Cagliari, Italy
| | - M Barbuti
- Division of Psychiatry, Clinical Psychology and Rehabilitation, Department of Medicine, University of Perugia, Santa Maria della Misericordia Hospital, Edificio Ellisse, 8 Piano, Sant'Andrea delle Fratte, 06132, Perugia, Italy
| | - G Anmella
- Barcelona Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - N Verdolini
- Barcelona Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain; FIDMAG Germanes Hospitalàries Research Foundation, Sant Boi de Llobregat, Barcelona, Catalonia, Spain; Division of Psychiatry, Clinical Psychology and Rehabilitation, Department of Medicine, Santa Maria della Misericordia Hospital, University of Perugia, Perugia, Italy
| | - L Samalin
- Barcelona Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain; CHU Clermont-Ferrand, Department of Psychiatry, University of Auvergne, Clermont-Ferrand, France; Fondation FondaMental, Hôpital Albert Chenevier, Pôle de Psychiatrie, Créteil, France
| | - J M Azorin
- Fondation FondaMental, Hôpital Albert Chenevier, Pôle de Psychiatrie, Créteil, France
| | - J Jules Angst
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Zurich, Switzerland
| | - C L Bowden
- University of Texas Health Science Center, San Antonio, USA
| | - S Mosolov
- Moscow Research Institute of Psychiatry, Russia
| | - A H Young
- Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - D Popovic
- Barcelona Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain; Psychiatry B, Sheba Medical Center, Israel
| | - M Valdes
- Department of Medicine, Sleep Unit, Hospital Clínic, University of Barcelona, IDIBAPS, CIBERSAM; Barcelona, Catalonia, Spain
| | - G Perugi
- Division of Psychiatry, Clinical Psychology and Rehabilitation, Department of Medicine, University of Perugia, Santa Maria della Misericordia Hospital, Edificio Ellisse, 8 Piano, Sant'Andrea delle Fratte, 06132, Perugia, Italy
| | - E Vieta
- Barcelona Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain.
| | - I Pacchiarotti
- Barcelona Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
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22
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Sugawara H, Tsutsumi T, Inada K, Ishigooka J, Hashimoto M, Takebayashi M, Nishimura K. Association between anxious distress in a major depressive episode and bipolarity. Neuropsychiatr Dis Treat 2019; 15:267-270. [PMID: 30697051 PMCID: PMC6339637 DOI: 10.2147/ndt.s188947] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
PURPOSE Mixed features in a major depressive episode (MDE) predict bipolar disorder (BD). The mixed features specifier included in the Diagnostic and Statistical Manual of Mental Disorders Fifth Edition (DSM-5) could be restrictive because it excludes the symptoms common to both mania/hypomania and depression, including psychomotor agitation. On the other hand, an anxious distress (ANXD) specifier has also been introduced in the DSM-5, and psychomotor agitation has been defined as a severity of ANXD. In this study, we retrospectively investigated the association between presence of ANXD in an MDE and bipolarity. PATIENTS AND METHODS The subjects were patients admitted with an MDE to the Department of Psychiatry at Tokyo Women's Medical University Hospital from December 2014 to March 2016. Eligible patients were older than 20 years of age and met the DSM-5 criteria for major depressive disorder or BD. All data were extracted from medical records. The subjects were grouped according to whether they did or did not have ANXD. The demographics and clinical features of these groups were compared. Severity of illness was evaluated according to the Hamilton Rating Scale for Depression (HRSD) score on admission. RESULTS ANXD was present in 31 and absent in 33 of 64 patients with MDE. The HRSD score was significantly higher in the group with ANXD than in the group without ANXD (P=0.0041). Mixed features (P=0.0050) and suicide attempts (P=0.0206) were significantly more common in the group with ANXD than in the group without ANXD. CONCLUSION We found that the presence of ANXD in an MDE was associated with greater severity and more mixed features and suicide attempts. It is important to evaluate a patient with an MDE for ANXD so that a diagnosis of mixed depression is not missed. More studies in larger samples are needed to investigate further the association between ANXD in MDE and bipolarity.
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Affiliation(s)
- Hiroko Sugawara
- Department of Neuropsychiatry, Faculty of Life Science, Kumamoto University, Kumamoto, Japan,
| | - Takahiro Tsutsumi
- Department of Psychiatry, Tokyo Women's Medical University Hospital, Tokyo, Japan
| | - Ken Inada
- Department of Psychiatry, Tokyo Women's Medical University Hospital, Tokyo, Japan
| | - Jun Ishigooka
- Department of Psychiatry, Tokyo Women's Medical University Hospital, Tokyo, Japan
| | - Mamoru Hashimoto
- Department of Neuropsychiatry, Faculty of Life Science, Kumamoto University, Kumamoto, Japan,
| | - Minoru Takebayashi
- Department of Neuropsychiatry, Faculty of Life Science, Kumamoto University, Kumamoto, Japan, .,Division of Psychiatry and Neuroscience, Institute for Clinical Research, National Hospital Organization Kure Medical Center, Hiroshima, Japan
| | - Katsuji Nishimura
- Department of Psychiatry, Tokyo Women's Medical University Hospital, Tokyo, Japan
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23
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Shinzato H, Koda M, Nakamura A, Kondo T. Development of the 12-item questionnaire for quantitative assessment of depressive mixed state (DMX-12). Neuropsychiatr Dis Treat 2019; 15:1983-1991. [PMID: 31406462 PMCID: PMC6642622 DOI: 10.2147/ndt.s215478] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2019] [Accepted: 06/06/2019] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Conventional categorical criteria have limitations in assessing the prevalence and severity of depressive mixed state (DMX). Thus, we have developed a new scale for screening and quantification of DMX and examined the symptomatological structure and severity of DMX in individuals with major depressive episode (MDE). METHODS Subjects were 154 patients with MDE (57 males and 97 females; age 13-83 years). Our original Japanese version of the self-administered 12-item questionnaire to assess DMX (DMX-12), together with the Quick Inventory of Depressive Symptomatology Self-Report Japanese version (QIDS-SR-J) and global assessment of functioning, were administered to each participant. The symptomatological structure of the DMX-12 was examined by exploratory factor analysis. Multiple regression analyses were used to analyze factors contributing to the DMX-12 scale. The relationships of this scale with categorical diagnoses (mixed depression by Benazzi and mixed features by DSM-5) were also investigated. RESULTS A three-factor model of the DMX-12 was extracted from exploratory factor analysis, namely, "spontaneous instability", "vulnerable responsiveness", and "disruptive emotion/behavior". Multiple regression analyses revealed that age was negatively correlated with total DMX-12 score, while bipolarity and the QIDS-SR-J score were positively correlated. A higher score on the disruptive emotion/behavior subscale was observed in patients with mixed depression and mixed features. CONCLUSION The DMX-12 seems to be useful for screening DMX in conjunction with conventional categorical diagnoses. Severely depressed younger subjects with potential bipolarity are more likely to develop DMX. The disruptive emotion/behavior subscale of the DMX-12 may be the most helpful in distinguishing patients with DMX from non-mixed patients.
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Affiliation(s)
- Hotaka Shinzato
- Department of Neuropsychiatry, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan
| | - Munenaga Koda
- Department of Neuropsychiatry, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan
| | - Akifumi Nakamura
- Department of Neuropsychiatry, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan.,Department of Psychiatry, Akari Clinic, Okinawa, Japan
| | - Tsuyoshi Kondo
- Department of Neuropsychiatry, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan
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24
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Musetti L, Tundo A, Benedetti A, Massimetti G, Cambiali E, Pergentini I, Del Grande C, Dell'Osso L. Lithium, valproate, and carbamazepine prescribing patterns for long-term treatment of bipolar I and II disorders: A prospective study. Hum Psychopharmacol 2018; 33:e2676. [PMID: 30311959 DOI: 10.1002/hup.2676] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2018] [Revised: 06/11/2018] [Accepted: 09/05/2018] [Indexed: 11/08/2022]
Abstract
OBJECTIVE This study aims to describe the prescription patterns of the mood stabilizers most commonly used for the treatment of bipolar I and II disorders (lithium, valproate, and carbamazepine) and to analyze the treatment outcomes. METHODS Two hundred and thirty-four outpatients with bipolar disorders receiving prophylactic treatment with lithium, valproate, carbamazepine, or their combination were followed up for at least 18 months in two Italian psychiatric centers specialized in mood disorders. RESULTS The combination of lithium and valproate or carbamazepine was the most common prophylactic treatment (54.3%), followed by valproate or carbamazepine (24%) and lithium monotherapy (22%). Polytherapy was prescribed mainly to patients with bipolar I disorder, a high number of previous episodes and lifetime psychotic symptoms, whereas valproate or carbamazepine monotherapy was prescribed to patients with anxiety comorbidity. The annual frequency of recurrences decreased significantly after entering the study in the overall sample, and the reduction was significantly higher in patients on lithium plus valproate or carbamazepine compared with the valproate or carbamazepine group, but not with the lithium monotherapy group. The number of mixed recurrences during the follow-up was significantly higher in patients on lithium plus valproate or carbamazepine. CONCLUSIONS Our findings may help clinicians to personalize long-term treatment to prevent relapses of bipolar disorder according to clinical presentation.
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Affiliation(s)
- Laura Musetti
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | | | - Alessandra Benedetti
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Gabriele Massimetti
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Erika Cambiali
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Irene Pergentini
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Claudia Del Grande
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Liliana Dell'Osso
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
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25
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Verdolini N, Hidalgo-Mazzei D, Murru A, Pacchiarotti I, Samalin L, Young AH, Vieta E, Carvalho AF. Mixed states in bipolar and major depressive disorders: systematic review and quality appraisal of guidelines. Acta Psychiatr Scand 2018; 138:196-222. [PMID: 29756288 DOI: 10.1111/acps.12896] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/17/2018] [Indexed: 01/15/2023]
Abstract
OBJECTIVE This systematic review provided a critical synthesis and a comprehensive overview of guidelines on the treatment of mixed states. METHOD The MEDLINE/PubMed and EMBASE databases were systematically searched from inception to March 21st, 2018. International guidelines covering the treatment of mixed episodes, manic/hypomanic, or depressive episodes with mixed features were considered for inclusion. A methodological quality assessment was conducted with the Appraisal of Guidelines for Research and Evaluation-AGREE II. RESULTS The final selection yielded six articles. Despite their heterogeneity, all guidelines agreed in interrupting an antidepressant monotherapy or adding mood-stabilizing medications. Olanzapine seemed to have the best evidence for acute mixed hypo/manic/depressive states and maintenance treatment. Aripiprazole and paliperidone were possible alternatives for acute hypo/manic mixed states. Lurasidone and ziprasidone were useful in acute mixed depression. Valproate was recommended for the prevention of new mixed episodes while lithium and quetiapine in preventing affective episodes of all polarities. Clozapine and electroconvulsive therapy were effective in refractory mixed episodes. The AGREE II overall assessment rate ranged between 42% and 92%, indicating different quality level of included guidelines. CONCLUSION The unmet needs for the mixed symptoms treatment were associated with diagnostic issues and limitations of previous research, particularly for maintenance treatment.
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Affiliation(s)
- N Verdolini
- Bipolar Disorder Unit, Institute of Neuroscience, Hospital Clinic, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Spain.,FIDMAG Germanes Hospitalàries Research Foundation, Sant Boi de Llobregat, Barcelona, Spain.,CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Barcelona, Spain.,Division of Psychiatry, Clinical Psychology and Rehabilitation, Department of Medicine, Santa Maria della Misericordia Hospital, University of Perugia, Perugia, Italy
| | - D Hidalgo-Mazzei
- Bipolar Disorder Unit, Institute of Neuroscience, Hospital Clinic, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Spain.,CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Barcelona, Spain.,Department of Psychological Medicine, Centre for Affective Disorders, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - A Murru
- Bipolar Disorder Unit, Institute of Neuroscience, Hospital Clinic, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Spain.,CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Barcelona, Spain
| | - I Pacchiarotti
- Bipolar Disorder Unit, Institute of Neuroscience, Hospital Clinic, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Spain.,CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Barcelona, Spain
| | - L Samalin
- Bipolar Disorder Unit, Institute of Neuroscience, Hospital Clinic, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Spain.,Department of Psychiatry, CHU Clermont-Ferrand, University of Auvergne, Clermont-Ferrand, France.,Fondation FondaMental, Pôle de Psychiatrie, Hôpital Albert Chenevier, Créteil, France
| | - A H Young
- Department of Psychological Medicine, Centre for Affective Disorders, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - E Vieta
- Bipolar Disorder Unit, Institute of Neuroscience, Hospital Clinic, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Spain.,CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Barcelona, Spain
| | - A F Carvalho
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Centre of Addiction and Mental Health (CAMH), Toronto, ON, Canada
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26
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Tondo L, Vázquez GH, Pinna M, Vaccotto PA, Baldessarini RJ. Characteristics of depressive and bipolar disorder patients with mixed features. Acta Psychiatr Scand 2018; 138:243-252. [PMID: 29862493 DOI: 10.1111/acps.12911] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/14/2018] [Indexed: 12/11/2022]
Abstract
OBJECTIVE To assess differences between subjects with vs. without mixed features in major affective disorders. METHODS In 3099 out-patient subjects with DSM-5 major depressive disorder (MDD, n = 1921) or bipolar disorders (BD, n = 1178), we compared those with (Mx) vs. without (Non-Mx) mixed features (agitated-irritable depression or dysphoric [hypo]mania) in an index episode. RESULTS Prevalence of Mx averaged 21.9% [CI: 20.5-23.4] overall, ranking: BD-II > BD-I > MDD, and in BD depression ≥ [hypo]mania > MDD. Mx subjects were significantly more likely than Non-Mx cases to (i) have other mixed episodes, (ii) have higher irritable and agitated ratings, (iii) have more substance abuse, (iv) switch into mixed episodes, (v) have more suicide attempts and higher suicidal ratings, (vi) change diagnosis from depression to BD, (vii) have higher hypomania scores when depressed or depression scores when [hypo]manic, (viii) be unmarried or separated with fewer children and siblings, (ix) be diagnosed more with BD than MDD, (x) be unemployed, (xi) have BD, suicide and divorce among first-degree relatives, (xii) be female, (xiii) be younger at illness-onset. Both BD and MDD Mx subjects also received antidepressants less, but antipsychotics and mood-stabilizers more, alone and in combination with antidepressants. CONCLUSIONS Mood disorder subjects with agitated-irritable depression or dysphoric [hypo]mania differed from those without such mixed features, including having a less favorable clinical course and repeated mixed episodes. They may represent a distinct and prevalent, syndromal clinical subtype with prognostic and therapeutic significance.
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Affiliation(s)
- L Tondo
- International Consortium for Psychotic & Mood Disorders Research, Mailman Research Center, McLean Hospital, Belmont, MA, USA.,Department of Psychiatry, Harvard Medical School, Boston, MA, USA.,Lucio Bini Mood Disorder Centers, Cagliari, Rome, Italy
| | - G H Vázquez
- International Consortium for Psychotic & Mood Disorders Research, Mailman Research Center, McLean Hospital, Belmont, MA, USA.,Department of Psychiatry, Queens University, Kingston, ON, Canada
| | - M Pinna
- Lucio Bini Mood Disorder Centers, Cagliari, Rome, Italy
| | - P A Vaccotto
- Morra Foundation for the Progress of Psychiatry, Córdoba, Argentina
| | - R J Baldessarini
- International Consortium for Psychotic & Mood Disorders Research, Mailman Research Center, McLean Hospital, Belmont, MA, USA.,Department of Psychiatry, Harvard Medical School, Boston, MA, USA
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27
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Tundo A, Musetti L, Benedetti A, Massimetti E, Pergentini I, Cambiali E, Dell'Osso L. Predictors of recurrence during long-term treatment of bipolar I and II disorders. A 4 year prospective naturalistic study. J Affect Disord 2018; 225:123-128. [PMID: 28826088 DOI: 10.1016/j.jad.2017.08.013] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2017] [Revised: 06/22/2017] [Accepted: 08/10/2017] [Indexed: 11/29/2022]
Abstract
BACKGROUND Despite the large number of treatments available for bipolar disorder (BD), more than one half of patients have a recurrence within 2 years, and over 90% experience at least one additional affective episode during their lifetime. METHODS The aim of this study was to test the impact of a number of demographic and clinical features on the risk to recurrence in a real- word representative sample of 266 outpatients with BD-I or II treated in a naturalistic setting during a 4-years-follow-up period. RESULTS We found that the number of episodes per year after study entry, compared to the number of episodes per year before study entry,significantly decreased and that about one third of patients had no recurrences during the observation period. The length of follow-up and the number of previous episodes, mainly depressive, predicted the risk of recurrence, while female gender, higher age at intake, and a higher frequency of past mixed episodes predicted a higher frequency of recurrences. LIMITATIONS The study had some limitations to consider: i.e. the risk of poor reliability of information on the previous course of illness or the naturalistic treatment during the follow-up. CONCLUSIONS Our study suggests that (a) an evidence-based long-term treatment, with regular follow-up visits could improve the course of disease and prognosis; (b) clinicians should carefully consider the presence of a high number of mixed episodes, to provide more targeted treatment strategies; (c) an appropriate use of antidepressants in selected patients did not worsen the course of illness.
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Affiliation(s)
| | - Laura Musetti
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Alessandra Benedetti
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | | | - Irene Pergentini
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Erika Cambiali
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Liliana Dell'Osso
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
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28
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Ogasawara K, Nakamura Y, Kimura H, Aleksic B, Ozaki N. Issues on the diagnosis and etiopathogenesis of mood disorders: reconsidering DSM-5. J Neural Transm (Vienna) 2017; 125:211-222. [PMID: 29275445 DOI: 10.1007/s00702-017-1828-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2017] [Accepted: 12/12/2017] [Indexed: 10/18/2022]
Abstract
The authors present a narrative review from the diagnostic and nosologic viewpoints of mood disorders (bipolar and depressive ones) by revisiting the revision from the fourth edition of the Diagnostic and Statistical Manual of Mental Disorders, Text Revision to DSM-5, including the following: the separation of the bipolar and depressive sections; the addition of increased energy and continuation of symptoms to the hypo/manic criteria; the elimination of mixed episodes; the creation of new categories and specifiers ("other specified bipolar and related disorder", "disruptive mood dysregulation disorder", "with anxious distress", "with mixed features", "with peripartum onset"); the categorization of hypo/manic episodes during antidepressant treatment into bipolar disorder; the elimination of the "bereavement exclusion"; the ambiguous separation between bipolar I and II; the insufficient distinction between "other specified bipolar and related disorders" and major depressive disorder; the differentiation regarding borderline personality disorder; agitation; premenstrual dysphoric disorder; and society and psychiatry. Through this analysis, we point out both the achievements and limitations of DSM-5. In addition, to examine the future direction of psychiatry, we introduce our cohort study regarding maternal depression and an outline of the National Institute of Mental Health's Research Domain Criteria project in the US. Finally, we advocate the importance of elucidating etiopathogeneses by starting from or going beyond the DSM operational diagnostic system, which has shown great efficacy.
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Affiliation(s)
- Kazuyoshi Ogasawara
- Bioethics Research Center, Nagoya University Hospital, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan. .,Department of Psychiatry, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan.
| | - Yukako Nakamura
- Department of Psychiatry, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan
| | - Hiroyuki Kimura
- Department of Psychiatry, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan
| | - Branko Aleksic
- Department of Psychiatry, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan
| | - Norio Ozaki
- Department of Psychiatry, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan
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29
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Stahl SM, Morrissette DA. Does a "whiff" of mania in a major depressive episode shift treatment from a classical antidepressant to an atypical/second-generation antipsychotic? Bipolar Disord 2017; 19:595-596. [PMID: 28895270 DOI: 10.1111/bdi.12542] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2017] [Accepted: 07/29/2017] [Indexed: 11/28/2022]
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30
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Betzler F, Stöver LA, Sterzer P, Köhler S. Mixed states in bipolar disorder - changes in DSM-5 and current treatment recommendations. Int J Psychiatry Clin Pract 2017; 21:244-258. [PMID: 28417647 DOI: 10.1080/13651501.2017.1311921] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
OBJECTIVE Mixed states in affective disorders represent a particular challenge in clinical routine, characterized by a complicated course of treatment and a worse treatment response. METHODS Clinical features of mixed states and the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) criteria are presented and critical discussed. We then performed a systematic review using the terms 'bipolar', 'mixed' and 'randomized' to evaluate current treatment options. RESULTS For pharmacological treatment of mixed states in total, there is still insufficient data from RCTs. However, there is some evidence for efficacy in mixed states from RCTs for atypical antipsychotics, especially olanzapine, aripiprazole and asenapine as well as mood stabilizers as valproate and carbamazepine. CONCLUSIONS Mixed states are of a high clinical relevance and the DSM-5 criteria substantially reduced the diagnostic threshold. Besides advantages of a better characterization of patients with former DSM-IV-defined mixed episodes, disadvantages arise for example differential diagnoses with a substantial overlap in symptoms such as borderline personality disorders. Atypical antipsychotics, valproate and carbamazepine demonstrated efficacy in a limited sample of RCTs. LIMITATIONS The number of RCTs in the treatment of mixed states is highly limited. Furthermore, nearly all studies were funded by pharmaceutical companies which may lead to an underestimation of classical mood stabilizers such as lithium.
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Affiliation(s)
- Felix Betzler
- a Department of Psychiatry and Psychotherapy , Clinic for Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin , Campus Mitte , Berlin , Germany
| | - Laura Apollonia Stöver
- a Department of Psychiatry and Psychotherapy , Clinic for Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin , Campus Mitte , Berlin , Germany
| | - Philipp Sterzer
- a Department of Psychiatry and Psychotherapy , Clinic for Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin , Campus Mitte , Berlin , Germany
| | - Stephan Köhler
- a Department of Psychiatry and Psychotherapy , Clinic for Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin , Campus Mitte , Berlin , Germany
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31
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Verdolini N, Perugi G, Samalin L, Murru A, Angst J, Azorin JM, Bowden CL, Mosolov S, Young AH, Barbuti M, Guiso G, Popovic D, Vieta E, Pacchiarotti I. Aggressiveness in depression: a neglected symptom possibly associated with bipolarity and mixed features. Acta Psychiatr Scand 2017; 136:362-372. [PMID: 28741646 DOI: 10.1111/acps.12777] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/03/2017] [Indexed: 11/28/2022]
Abstract
OBJECTIVE To evaluate aggressiveness during a major depressive episode (MDE) and its relationship with bipolar disorder (BD) in a post hoc analysis of the BRIDGE-II-MIX study. METHOD A total of 2811 individuals were enrolled in this multicenter cross-sectional study. MDE patients with (MDE-A, n = 399) and without aggressiveness (MDE-N, n = 2412) were compared through chi-square test or Student's t-test. A stepwise backward logistic regression model was performed. RESULTS MDE-A group was more frequently associated with BD (P < 0.001), while aggressiveness was negatively correlated with unipolar depression (P < 0.001). At the logistic regression, aggressiveness was associated with the age at first depressive episode (P < 0.001); the severity of mania (P = 0.03); the diagnosis of BD (P = 0.001); comorbid borderline personality disorder (BPD) (P < 0.001) but not substance abuse (P = 0.63); no current psychiatric treatment (P < 0.001); psychotic symptoms (P = 0.007); the marked social/occupational impairment (P = 0.002). The variable most significantly associated with aggressiveness was the presence of DSM-5 mixed features (P < 0.001, OR = 3.815). After the exclusion of BPD, the variable of lifetime suicide attempts became significant (P = 0.013, OR = 1.405). CONCLUSION Aggressiveness seems to be significantly associated with bipolar spectrum disorders, independently from BPD and substance abuse. Aggressiveness should be considered as a diagnostic criterion for the mixed features specifier and a target of tailored treatment strategy.
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Affiliation(s)
- N Verdolini
- Bipolar Disorders Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain.,Division of Psychiatry, Clinical Psychology and Rehabilitation, Department of Medicine, University of Perugia, Santa Maria della Misericordia Hospital, Perugia, Italy
| | - G Perugi
- Department of Experimental and Clinic Medicine, Section of Psychiatry, University of Pisa, Pisa, Italy
| | - L Samalin
- Bipolar Disorders Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain.,Department of Psychiatry, CHU Clermont-Ferrand, University of Auvergne, EA 7280, Clermont-Ferrand, France.,Fondation FondaMental, Hôpital Albert Chenevier, Pôle de Psychiatrie, Créteil, France
| | - A Murru
- Bipolar Disorders Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - J Angst
- Psychiatric Hospital, University of Zurich, Zurich, Switzerland
| | - J-M Azorin
- AP HM, Psychiatric Pole, Sainte Marguerite, Marseille, France
| | - C L Bowden
- Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - S Mosolov
- Department for Therapy of Mental Disorders, Moscow Research Institute of Psychiatry, Moscow, Russia
| | - A H Young
- Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - M Barbuti
- Bipolar Disorders Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain.,Department of Experimental and Clinic Medicine, Section of Psychiatry, University of Pisa, Pisa, Italy
| | - G Guiso
- Bipolar Disorders Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain.,Department of Medical Sciences and Public Health, University of Cagliari and Psychiatric Clinic, University Hospital, Cagliari, Italy
| | - D Popovic
- Bipolar Disorders Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain.,Psychiatry B, The Chaim Sheba Medical Center, Ramat-Gan, Israel
| | - E Vieta
- Bipolar Disorders Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - I Pacchiarotti
- Bipolar Disorders Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
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32
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Abstract
The classical point of view-that major depressive episodes (MDEs), no matter what additional symptoms are present, should be treated first line with antidepressants-is now giving way to new a notion. The idea is that MDEs mixed with a few symptoms of mania/hypomania should be viewed very differently in terms of their natural history, clinical outcome, and treatment, and perhaps certain antipsychotics should be given as first-line treatment rather than antidepressant monotherapy.
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Abstract
A significant minority of people presenting with a major depressive episode (MDE) experience co-occurring subsyndromal hypo/manic symptoms. As this presentation may have important prognostic and treatment implications, the DSM-5 codified a new nosological entity, the "mixed features specifier," referring to individuals meeting threshold criteria for an MDE and subthreshold symptoms of (hypo)mania or to individuals with syndromal mania and subthreshold depressive symptoms. The mixed features specifier adds to a growing list of monikers that have been put forward to describe phenotypes characterized by the admixture of depressive and hypomanic symptoms (e.g., mixed depression, depression with mixed features, or depressive mixed states [DMX]). Current treatment guidelines, regulatory approvals, as well the current evidentiary base provide insufficient decision support to practitioners who provide care to individuals presenting with an MDE with mixed features. In addition, all existing psychotropic agents evaluated in mixed patients have largely been confined to patient populations meeting the DSM-IV definition of "mixed states" wherein the co-occurrence of threshold-level mania and threshold-level MDE was required. Toward the aim of assisting clinicians providing care to adults with MDE and mixed features, we have assembled a panel of experts on mood disorders to develop these guidelines on the recognition and treatment of mixed depression, based on the few studies that have focused specifically on DMX as well as decades of cumulated clinical experience.
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Kuroki T, Ishitobi M, Kamio Y, Sugihara G, Murai T, Motomura K, Ogasawara K, Kimura H, Aleksic B, Ozaki N, Nakao T, Yamada K, Yoshiuchi K, Kiriike N, Ishikawa T, Kubo C, Matsunaga C, Miyata H, Asada T, Kanba S. Current viewpoints on DSM-5 in Japan. Psychiatry Clin Neurosci 2016; 70:371-93. [PMID: 27414748 DOI: 10.1111/pcn.12421] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/08/2016] [Indexed: 01/10/2023]
Abstract
The fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) was published in 2013, and its official Japanese version was published in 2014. The Japanese Government uses classifications from the 10th revision of the I nternational C lassification of D iseases (ICD-10) to categorize disorders and determine treatment fees. However, since the publication of the DSM-III, the use of the DSM system has become prevalent in research and educational settings in Japan. In addition to traditional psychiatry, both the ICD and the DSM are taught by many Japanese medical schools, and virtually all clinical research and trials refer to the DSM to define targeted disorders. Amid the current backdrop in which the reputation of the DSM-5 is being established, the editorial board of P sychiatry and C linical N eurosciences has asked Japanese experts across 12 specialties to examine the structure of the DSM-5, including the following categories: Neurodevelopmental Disorders, Schizophrenia Spectrum Disorders, Major Depression, Bipolar Disorders, Obsessive-Compulsive Disorders, Somatic Symptom Disorder, Eating Disorders, Substance-Related and Addictive Disorders, Gender Dysphoria, and Neurocognitive Disorders. Although opinions were only obtained from these selected experts, we believe that we have succeeded, to a certain extent, in presenting views that are representative of each specialty.
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Affiliation(s)
- Toshihide Kuroki
- Department of Clinical Psychology Practice, Graduate School of Human Environment Studies, Kyushu University, Fukuoka, Japan
| | - Makoto Ishitobi
- Department of Child and Adolescent Mental Health, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Yoko Kamio
- Department of Child and Adolescent Mental Health, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Genichi Sugihara
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Toshiya Murai
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Keisuke Motomura
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Kazuyoshi Ogasawara
- Department of Human Care, Nagoya University of Arts and Sciences, Nagoya, Japan
| | - Hiroyuki Kimura
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Branko Aleksic
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Norio Ozaki
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Tomohiro Nakao
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Kazuo Yamada
- Department of Psychiatry, Tokyo Women's Medical University, Medical Center East, Tokyo, Japan
| | - Kazuhiro Yoshiuchi
- Department of Stress Sciences and Psychosomatic Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Nobuo Kiriike
- Department of Neuropsychiatry, Osaka City University, Osaka, Japan
| | - Toshio Ishikawa
- Department of Psychosomatic Medicine, Kohnodai Hospital, Tokyo, Japan
| | - Chiharu Kubo
- Department of Psychosomatic Medicine, Kyushu University, Fukuoka, Japan
| | - Chiaki Matsunaga
- Chiaki Clinic, Jikei University School of Medicine, Tokyo, Japan
| | - Hisatsugu Miyata
- Department of Psychiatry, Jikei University School of Medicine, Tokyo, Japan
| | - Takashi Asada
- Center for Brain Integration Research, Tokyo Medical and Dental University, Tokyo, Japan
| | - Shigenobu Kanba
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
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Atypical Antipsychotics in the Treatment of Acute Bipolar Depression with Mixed Features: A Systematic Review and Exploratory Meta-Analysis of Placebo-Controlled Clinical Trials. Int J Mol Sci 2016; 17:241. [PMID: 26891297 PMCID: PMC4783972 DOI: 10.3390/ijms17020241] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2015] [Revised: 02/02/2016] [Accepted: 02/02/2016] [Indexed: 12/11/2022] Open
Abstract
Evidence supporting the use of second generation antipsychotics (SGAs) in the treatment of acute depression with mixed features (MFs) associated with bipolar disorder (BD) is scarce and equivocal. Therefore, we conducted a systematic review and preliminary meta-analysis investigating SGAs in the treatment of acute BD depression with MFs. Two authors independently searched major electronic databases from 1990 until September 2015 for randomized (placebo-) controlled trials (RCTs) or open-label clinical trials investigating the efficacy of SGAs in the treatment of acute bipolar depression with MFs. A random-effect meta-analysis calculating the standardized mean difference (SMD) between SGA and placebo for the mean baseline to endpoint change in depression as well as manic symptoms score was computed based on 95% confidence intervals (CI). Six RCTs and one open-label placebo-controlled studies (including post-hoc reports) representing 1023 patients were included. Participants received either ziprasidone, olanzapine, lurasidone, quetiapine or asenapine for an average of 6.5 weeks across the included studies. Meta-analysis with Duval and Tweedie adjustment for publication bias demonstrated that SGA resulted in significant improvements of (hypo-)manic symptoms of bipolar mixed depression as assessed by the means of the total scores of the Young Mania Rating Scale (YMRS) (SMD −0.74, 95% CI −1.20 to −0.28, n SGA = 907, control = 652). Meta-analysis demonstrated that participants in receipt of SGA (n = 979) experienced a large improvement in the Montgomery–Åsberg Depression Rating Scale (MADRS) scores (SMD −1.08, 95% CI −1.35 to −0.81, p < 0.001) vs. placebo (n = 678). Publication and measurement biases and relative paucity of studies. Overall, SGAs appear to offer favorable improvements in MADRS and YMRS scores vs. placebo. Nevertheless, given the preliminary nature of the present report, additional original studies are required to allow more reliable and clinically definitive conclusions.
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Kondo T, Shinzato H, Koda M. Diagnostic and Therapeutic Considerations in Depressive Mixed State. ACTA ACUST UNITED AC 2016. [DOI: 10.5234/cnpt.7.41] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- Tsuyoshi Kondo
- Department of Neuropsychiatry, Graduate School of Medicine, University of the Ryukyus
| | - Hotaka Shinzato
- Department of Neuropsychiatry, Graduate School of Medicine, University of the Ryukyus
| | - Munenaga Koda
- Department of Neuropsychiatry, Graduate School of Medicine, University of the Ryukyus
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The State of the Art of the DSM-5 "with Mixed Features" Specifier. ScientificWorldJournal 2015; 2015:757258. [PMID: 26380368 PMCID: PMC4562096 DOI: 10.1155/2015/757258] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2015] [Accepted: 04/10/2015] [Indexed: 11/30/2022] Open
Abstract
The new DSM-5 “with mixed features” specifier (MFS) has renewed the interest of the scientific community in mixed states, leading not only to new clinical studies but also to new criticisms of the current nosology. Consequently, in our paper we have reviewed the latest literature, trying to understand the reactions of psychiatrists to the new nosology and its epidemiological, prognostic, and clinical consequences. It seems that the most widespread major criticism is the exclusion from the DSM-5 MFS of overlapping symptoms (such as psychomotor agitation, irritability, and distractibility), with a consequent reduction in diagnostic power. On the other hand, undoubtedly the new DSM-5 classification has helped to identify more patients suffering from a mixed state by broadening the narrow DSM-IV-TR criteria. As for the clinical presentation, the epidemiological data, and the therapeutic outcomes, the latest literature does not point out a univocal point of view and further research is needed to fully assess the implications of the new DSM-5 MFS. It is our view that a diagnostic category should be preferred to a specifier and mixed states should be better considered as a spectrum of states, according to what was stated many years ago by Kraepelin.
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Chen JJ, Zhou CJ, Liu Z, Fu YY, Zheng P, Yang DY, Li Q, Mu J, Wei YD, Zhou JJ, Huang H, Xie P. Divergent Urinary Metabolic Phenotypes between Major Depressive Disorder and Bipolar Disorder Identified by a Combined GC-MS and NMR Spectroscopic Metabonomic Approach. J Proteome Res 2015; 14:3382-9. [PMID: 26168936 DOI: 10.1021/acs.jproteome.5b00434] [Citation(s) in RCA: 56] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Bipolar disorder (BD) is a complex debilitating mental disorder that is often misdiagnosed as major depressive disorder (MDD). Therefore, a large percentage of BD subjects are incorrectly treated with antidepressants in clinical practice. To address this challenge, objective laboratory-based tests are needed to discriminate BD from MDD patients. Here, a combined gas chromatography-mass spectrometry (GC-MS)-based and nuclear magnetic resonance (NMR) spectroscopic-based metabonomic approach was performed to profile urine samples from 76 MDD and 43 BD subjects (training set) to identify the differential metabolites. Samples from 126 healthy controls were included as metabolic controls. A candidate biomarker panel was identified by further analyzing these differential metabolites. A testing set of, 50 MDD and 28 BD subjects was then used to independently validate the diagnostic efficacy of the identified panel using an area under the receiver operating characteristic curve (AUC). A total of 20 differential metabolites responsible for the discrimination between MDD and BD subjects were identified. A panel consisting of six candidate urinary metabolite biomarkers (propionate, formate, (R*,S*)2,3-dihydroxybutanoic acid, 2,4-dihydroxypyrimidine, phenylalanine, and β-alanine) was identified. This panel could distinguish BD from MDD subjects with an AUC of 0.913 and 0.896 in the training and testing sets, respectively. These results reveal divergent urinary metabolic phenotypes between MDD and BD. The identified urinary biomarkers can aid in the future development of an objective laboratory-based diagnostic test for distinguishing BD from MDD patients.
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Affiliation(s)
- Jian-Jun Chen
- †Department of Neurology, Yongchuan Hospital of Chongqing Medical University, Chongqing 402460, China
| | - Chan-Juan Zhou
- †Department of Neurology, Yongchuan Hospital of Chongqing Medical University, Chongqing 402460, China
| | - Zhao Liu
- ‡Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Yu-Ying Fu
- ‡Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Peng Zheng
- ‡Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - De-Yu Yang
- †Department of Neurology, Yongchuan Hospital of Chongqing Medical University, Chongqing 402460, China
| | - Qi Li
- ‡Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Jun Mu
- ‡Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - You-Dong Wei
- ‡Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Jing-Jing Zhou
- ‡Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Hua Huang
- ‡Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Peng Xie
- †Department of Neurology, Yongchuan Hospital of Chongqing Medical University, Chongqing 402460, China.,‡Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
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