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Tran BX, Nguyen TT, Nguyen HSA, Boyer L, Auquier P, Fond G, Tran HTN, Nguyen HM, Choi J, Latkin CA, Ho CSH, Husain SF, McIntyre RS, Zhang MWB, Ho RCM. Utility of portable functional near-infrared spectroscopy (fNIRS) in patients with bipolar and unipolar disorders: A comparison with healthy controls. J Affect Disord 2023; 323:581-591. [PMID: 36516913 DOI: 10.1016/j.jad.2022.11.091] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 11/28/2022] [Accepted: 11/30/2022] [Indexed: 12/14/2022]
Abstract
BACKGROUND This study aimed to evaluate portable functional near-infrared spectroscopy (fNIRS) device as an adjunct diagnostic tool for bipolar and unipolar disorders while performing cognitive tasks. METHODS 150 participants were divided into three groups including bipolar, unipolar disorder, and healthy controls (50:50:50), matched by age, gender, and family history of mood disorder. Hemodynamics in the frontal cortex were monitored by fNIRS during the Stroop Color-Word Test and Verbal Fluency Test. The GLM compared the differences in oxy-hemoglobin levels between the two groups. The Receiver Operating Characteristic (ROC) graph was generated for each neuroanatomical area. RESULTS For people with BD group, the area under the ROC curve (AUC) for the left orbitofrontal cortex was maximal during the VFT [AUC = 0.727, 95%CI = 0.617-0.824]. The Youden's index reached a peak (0.40) at the optimal cut-point value (HbO2 cutoff <0.180 μmol/ml for BD) in which the sensitivity was 82 %; specificity was 58 %; PPV was 0.66; NPV was 0.76 and correct classification rate was 70 %. Regarding the UD group, during VFT, the highest value AUC [AUC = 0.822, 95%CI = 0.740-0.903] was recorded in the left dorsolateral prefrontal cortex with the optimal cut-off value (HbO2cutoff ≥0.163 μmol/ml for healthy controls; <0.163 for unipolar disorder), the sensitivity was 72 %; specificity was 82 %; PPV was 0.80; NPV was 0.75, correct classification rate was 77 %, and the Youden's index was 0.54. CONCLUSION Assessing hemodynamics during VFT using portable fNIRS offers the potential as an adjunct diagnostic tool for mood disorders in low-resource environments.
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Affiliation(s)
- Bach Xuan Tran
- Institute for Preventive Medicine and Public Health, Hanoi Medical University, Hanoi 100000, Viet Nam; Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA.
| | - Tham Thi Nguyen
- Institute for Preventive Medicine and Public Health, Hanoi Medical University, Hanoi 100000, Viet Nam
| | - Hao Si Anh Nguyen
- Institute of Health Economics and Technology, Hanoi 100000, Viet Nam
| | - Laurent Boyer
- EA 3279, CEReSS, Research Centre on Health Services and Quality of Life, Aix Marseille University, 27, boulevard Jean-Moulin, 13385 Marseille cedex 05, France
| | - Pascal Auquier
- EA 3279, CEReSS, Research Centre on Health Services and Quality of Life, Aix Marseille University, 27, boulevard Jean-Moulin, 13385 Marseille cedex 05, France
| | - Guillaume Fond
- EA 3279, CEReSS, Research Centre on Health Services and Quality of Life, Aix Marseille University, 27, boulevard Jean-Moulin, 13385 Marseille cedex 05, France
| | | | | | | | - Carl A Latkin
- Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Cyrus S H Ho
- Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore
| | - Syeda F Husain
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore
| | - Roger S McIntyre
- Mood Disorder Psychopharmacology Unit, University Health Network, University of Toronto, Toronto, ON M5T 2S8, Canada; Institute of Medical Science, University of Toronto, Toronto, ON M5S 1A8, Canada; Department of Psychiatry, University of Toronto, Toronto, ON M5S 1A8, Canada; Department of Pharmacology, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Melvyn W B Zhang
- Family Medicine & Primary Care, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 639815, Singapore
| | - Roger C M Ho
- Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore; Institute for Health Innovation and Technology (iHealthtech), National University of Singapore, Singapore 119077, Singapore
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Zabegalov KN, Kolesnikova TO, Khatsko SL, Volgin AD, Yakovlev OA, Amstislavskaya TG, Alekseeva PA, Meshalkina DA, Friend AJ, Bao W, Demin KA, Gainetdinov RR, Kalueff AV. Understanding antidepressant discontinuation syndrome (ADS) through preclinical experimental models. Eur J Pharmacol 2018; 829:129-140. [DOI: 10.1016/j.ejphar.2018.04.003] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2018] [Revised: 03/29/2018] [Accepted: 04/04/2018] [Indexed: 12/14/2022]
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Studying epilepsy to understand bipolar disorder? Epilepsy Behav 2015; 52:A1-2. [PMID: 26433442 DOI: 10.1016/j.yebeh.2015.08.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2015] [Accepted: 08/13/2015] [Indexed: 11/22/2022]
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Angst J, Hantouche E, Caci H, Gaillard R, Lancrenon S, Azorin JM. DSM-IV diagnosis in depressed primary care patients with previous psychiatric ICD-10 bipolar disorder. J Affect Disord 2014; 152-154:295-8. [PMID: 24139284 DOI: 10.1016/j.jad.2013.09.028] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2013] [Revised: 09/06/2013] [Accepted: 09/06/2013] [Indexed: 11/29/2022]
Abstract
BACKGROUND In the past 20 years, much evidence has accumulated against the overly restrictive diagnostic concepts of hypomania in DSM-IV and DSM-IV-TR. We tested DSM-IV-TR and a broader modified version (DSM-IV-TRm) for their ability to detect bipolarity in patients who had been treated for bipolar disorders (BD) in psychiatric settings, and who now consulted general practitioners (GPs) for new major depressive episodes (MDE). METHODS Bipolact II was an observational, single-visit survey involving 390 adult patients attending primary care for MDE (DSM-IV-TR criteria) in 201 GP offices in France. The participating GPs (53.3 ± 6.5 years old, 80.1% male) were trained by the Bipolact Educational Program, and were familiar with the medical care of depressive patients. RESULTS Of the 390 patients with MDE, 129 (33.1%) were previously known as bipolar patients (ICD-10 criteria). Most of the latter bipolar patients (89.7%) had previously been treated with antidepressants. Only 9.3% of them met DMS-IV-TR criteria for BD. Conversely, 79.1% of the 129 bipolar patients met DMS-IV-TRm criteria for BD and showed strong associations with impulse control disorders and manic/hypomanic switches during antidepressant treatment. LIMITATIONS Limited training of participating GPs, recall bias of patients, and the study not being representative for untreated bipolar patients. CONCLUSIONS Very few ICD-10 bipolar patients consulting French GPs for MDE met DSM-IV-TR criteria for bipolar diagnosis, which suggests that DSM-IV-TR criteria are insufficient and too restrictive for the diagnosis of BD. DSM-IV-TRm was more sensitive, but 20% of bipolar patients were undetected.
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Affiliation(s)
- Jules Angst
- Zurich University Psychiatric Hospital, Zurich, Switzerland
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Detección precoz de episodios de hipomanía en pacientes con trastorno afectivo. REVISTA DE PSIQUIATRIA Y SALUD MENTAL 2012; 5:89-97. [DOI: 10.1016/j.rpsm.2011.12.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2011] [Revised: 11/04/2011] [Accepted: 12/19/2011] [Indexed: 11/18/2022]
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Wolkenstein L, Bruchmüller K, Schmid P, Meyer TD. Misdiagnosing bipolar disorder--do clinicians show heuristic biases? J Affect Disord 2011; 130:405-12. [PMID: 21093059 DOI: 10.1016/j.jad.2010.10.036] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2010] [Revised: 10/20/2010] [Accepted: 10/20/2010] [Indexed: 10/18/2022]
Abstract
BACKGROUND Bipolar disorders (BD) are often misdiagnosed. Clinicians seem to use heuristics instead of following the recommendations of diagnostic manuals. Bruchmüller and Meyer (2009) suggest that 'reduced sleep' is a prototypic criterion that increases the likelihood of a bipolar diagnosis. This study examines if this criterion specifically elevates the likelihood of a bipolar diagnosis or if the finding of the study mentioned above is rather due to the total number of criteria. Furthermore, we want to replicate the finding that patients offering a causal explanation for their manic symptoms are misdiagnosed more often. Additionally, we examine therapeutic attributes that might influence diagnostic decisions as well as treatment consequences following a (mis-)diagnosis. METHODS 204 Psychotherapists were presented with a case vignette describing someone with a BD and were asked to make a diagnosis. Symptoms and the total number of criteria varied systematically within the vignettes but each still fulfilled enough diagnostic criteria to be diagnosed as bipolar. RESULTS Almost 60% of the clinicians made misdiagnoses. A correct diagnosis did not depend on the specific criterion of 'reduced sleep' but on the total number of criteria. The causal explanation as well as therapeutic attributes did not significantly influence diagnostic decisions. However, the study showed that a misdiagnosis can lead to severe consequences concerning the treatment recommended by clinicians. LIMITATIONS The validity of case vignettes is discussible. CONCLUSIONS It seems as if specific symptoms might not be of so much relevance as assumed. Instead, clinicians seem to follow the additive model when making diagnoses.
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Abstract
During the past 25 years, semistructured diagnostic interviews have been the standard for diagnostic evaluations in research relying on reliable and valid psychiatric assessment and diagnosis. However, the use of semistructured interviews still requires interpretation of the diagnostic criteria and does not preclude the application of different diagnostic thresholds. The goal of this report from the Rhode Island Methods to Improve Diagnostic Assessment and Services project is to illustrate how a self-report scale can be used to detect systematic differences in the application of diagnostic criteria for bipolar disorder and to demonstrate the wide variation in how broadly different groups tend to diagnose bipolar disorder. We compared the frequency of bipolar diagnoses in 4 studies that examined the performance of mood disorders questionnaire (MDQ) with the Structured Clinical Interview for DSM-IV (SCID). We also compared the prevalence rate of MDQ cases and the ratio of SCID diagnoses with MDQ cases. The frequency of bipolar disorder in the 4 studies ranged from 10.9% to 76.2%-a 7-fold difference in prevalence rates. The frequency of MDQ-positive cases ranged from 17.8% to 31.2%, less than a 2-fold difference in prevalence rates. Thus, there was much less variability in MDQ rates than diagnosis rates. Moreover, the rank order of the prevalence of MDQ cases differed from the rank order of the prevalence of SCID diagnoses. The SCID/MDQ ratio significantly differed between the studies. These findings demonstrate how systematic differences in diagnostic practice might be detected using a self-administered scale such as the MDQ. The results also underscore that wide variation exists in the bias toward diagnosing bipolar disorder, even after controlling for differences in prevalence among samples.
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Weber-Rouget B, Aubry JM. Dépistage des troubles bipolaires : une revue de la littérature. Encephale 2009; 35:570-6. [DOI: 10.1016/j.encep.2008.06.017] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2007] [Accepted: 06/24/2008] [Indexed: 11/25/2022]
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Principal Components Analysis of the Hypomanic Attitudes and Positive Predictions Inventory and Associations with Measures of Personality, Cognitive Style and Analogue Symptoms in a Student Sample. Behav Cogn Psychother 2009; 38:15-33. [DOI: 10.1017/s1352465809990476] [Citation(s) in RCA: 28] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Background: An integrative cognitive model proposed that ascribing extreme personal appraisals to changes in internal state is key to the development of the symptoms of bipolar disorder. The Hypomanic Attitudes and Positive Predictions Inventory (HAPPI) was developed to measure these appraisals. Aims: The aim of the current study was to validate an expanded 61-item version of the HAPPI. Method: In a largely female student sample (N = 134), principal components analysis (PCA) was performed on the HAPPI. Associations between the HAPPI and analogue bipolar symptoms after 3 months were examined. Results: PCA of the HAPPI revealed six categories of belief: Self Activation, Self-and-Other Critical, Catastrophic, Extreme Appraisals of Social Approval, Appraisals of Extreme Agitation, and Loss of Control. The HAPPI predicted all analogue measures of hypomanic symptoms after 3 months when controlling for baseline symptoms. In a more stringent test incorporating other psychological measures, the HAPPI was independently associated only with activation (e.g. thoughts racing) at 3 months. Dependent dysfunctional attitudes predicted greater conflict (e.g. irritability), depression and reduced well-being, hypomanic personality predicted self-reported diagnostic bipolar symptoms, and behavioural dysregulation predicted depression. Conclusions: Extreme beliefs about internal states show a modest independent association with prospective analogue bipolar symptoms, alongside other psychological factors. Further work will be required to improve the factor structure of the HAPPI and study its validity in clinical samples.
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Angst J, Gamma A, Benazzi F, Ajdacic V, Rössler W. Does psychomotor agitation in major depressive episodes indicate bipolarity? Evidence from the Zurich Study. Eur Arch Psychiatry Clin Neurosci 2009; 259:55-63. [PMID: 18806921 DOI: 10.1007/s00406-008-0834-7] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2007] [Accepted: 06/05/2008] [Indexed: 11/28/2022]
Abstract
BACKGROUND Kraepelin's partial interpretation of agitated depression as a mixed state of "manic-depressive insanity" (including the current concept of bipolar disorder) has recently been the focus of much research. This paper tested whether, how, and to what extent both psychomotor symptoms, agitation and retardation in depression are related to bipolarity and anxiety. METHOD The prospective Zurich Study assessed psychiatric and somatic syndromes in a community sample of young adults (N = 591) (aged 20 at first interview) by six interviews over 20 years (1979-1999). Psychomotor symptoms of agitation and retardation were assessed by professional interviewers from age 22 to 40 (five interviews) on the basis of the observed and reported behaviour within the interview section on depression. Psychiatric diagnoses were strictly operationalised and, in the case of bipolar-II disorder, were broader than proposed by DSM-IV-TR and ICD-10. As indicators of bipolarity, the association with bipolar disorder, a family history of mania/hypomania/cyclothymia, together with hypomanic and cyclothymic temperament as assessed by the general behavior inventory (GBI) [15], and mood lability (an element of cyclothymic temperament) were used. RESULTS Agitated and retarded depressive states were equally associated with the indicators of bipolarity and with anxiety. Longitudinally, agitation and retardation were significantly associated with each other (OR = 1.8, 95% CI = 1.0-3.2), and this combined group of major depressives showed stronger associations with bipolarity, with both hypomanic/cyclothymic and depressive temperamental traits, and with anxiety. Among agitated, non-retarded depressives, unipolar mood disorder was even twice as common as bipolar mood disorder. CONCLUSION Combined agitated and retarded major depressive states are more often bipolar than unipolar, but, in general, agitated depression (with or without retardation) is not more frequently bipolar than retarded depression (with or without agitation), and pure agitated depression is even much less frequently bipolar than unipolar. The findings do not support the hypothesis that agitated depressive syndromes are mixed states. LIMITATIONS The results are limited to a population up to the age of 40; bipolar-I disorders could not be analysed (small N).
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Affiliation(s)
- Jules Angst
- Psychiatric Hospital, Zurich University, Lenggstrasse 31, P.O. Box 1931, 8032 Zurich, Switzerland.
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Cassano G, Mula M, Rucci P, Miniati M, Frank E, Kupfer D, Oppo A, Calugi S, Maggi L, Gibbons R, Fagiolini A. The structure of lifetime manic-hypomanic spectrum. J Affect Disord 2009; 112:59-70. [PMID: 18541309 PMCID: PMC3387675 DOI: 10.1016/j.jad.2008.04.019] [Citation(s) in RCA: 46] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2008] [Revised: 04/23/2008] [Accepted: 04/23/2008] [Indexed: 12/17/2022]
Abstract
BACKGROUND The observation that bipolar disorders frequently go unrecognized has prompted the development of screening instruments designed to improve the identification of bipolarity in clinical and non-clinical samples. Starting from a lifetime approach, researchers of the Spectrum Project developed the Mood Spectrum Self-Report (MOODS-SR) that assesses threshold-level manifestations of unipolar and bipolar mood psychopathology, but also atypical symptoms, behavioral traits and temperamental features. The aim of the present study is to examine the structure of mania/hypomania using 68 items of the MOODS-SR that explore cognitive, mood and energy/activity features associated with mania/hypomania. METHODS A data pool of 617 patients with bipolar disorders, recruited at Pittsburgh and Pisa, Italy was used for this purpose. Classical exploratory factor analysis, based on a tetrachoric matrix, was carried out on the 68 items, followed by an Item Response Theory (IRT)-based factor analytic approach. RESULTS Nine factors were initially identified, that include Psychomotor Activation, Creativity, Mixed Instability, Sociability/Extraversion, Spirituality/Mysticism/Psychoticism, Mixed Irritability, Inflated Self-esteem, Euphoria, Wastefulness/Recklessness, and account overall for 56.4% of the variance of items. In a subsequent IRT-based bi-factor analysis, only five of them (Psychomotor Activation, Mixed Instability, Spirituality/Mysticism/Psychoticism, Mixed Irritability, Euphoria) were retained. CONCLUSIONS Our data confirm the central role of Psychomotor Activation in mania/hypomania and support the definitions of pure manic (Psychomotor Activation and Euphoria) and mixed manic (Mixed Instability and Mixed Irritability) components, bearing the opportunity to identify patients with specific profiles for a better clinical and neurobiological definition.
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Affiliation(s)
- G.B. Cassano
- Department of Psychiatry, Neurobiology, Pharmacology and Biotechnology, School of Medicine, University of Pisa, Italy,Corresponding author. Department of Psychiatry, Neurobiology, Pharmacology and Biotechnology, University of Pisa, via Roma 67-56100 Pisa, Italy. Tel.: +39 050 835419; fax: +39 050 21581. (G.B. Cassano)
| | - M Mula
- Department of Psychiatry, Neurobiology, Pharmacology and Biotechnology, School of Medicine, University of Pisa, Italy
| | - P Rucci
- Department of Psychiatry, University of Pittsburgh School of Medicine, United States
| | - M Miniati
- Department of Psychiatry, Neurobiology, Pharmacology and Biotechnology, School of Medicine, University of Pisa, Italy
| | - E Frank
- Department of Psychiatry, University of Pittsburgh School of Medicine, United States
| | - D.J. Kupfer
- Department of Psychiatry, University of Pittsburgh School of Medicine, United States
| | - A Oppo
- Department of Psychiatry, Neurobiology, Pharmacology and Biotechnology, School of Medicine, University of Pisa, Italy
| | - S Calugi
- Department of Psychiatry, Neurobiology, Pharmacology and Biotechnology, School of Medicine, University of Pisa, Italy
| | - L Maggi
- Department of Psychiatry, Neurobiology, Pharmacology and Biotechnology, School of Medicine, University of Pisa, Italy
| | - R Gibbons
- Center for Health Statistics, University of Illinois at Chicago, United States
| | - A Fagiolini
- Department of Psychiatry, University of Pittsburgh School of Medicine, United States
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Abstract
Bipolar II disorder (BP-II) is defined, by DSM-IV, as recurrent episodes of depression and hypomania. Hypomania, according to DSM-IV, requires elevated (euphoric) and/or irritable mood, plus at least three of the following symptoms (four if mood is only irritable): grandiosity, decreased need for sleep, increased talking, racing thoughts, distractibility, overactivity (an increase in goal-directed activity), psychomotor agitation and excessive involvement in risky activities. This observable change in functioning should not be severe enough to cause marked impairment of social or occupational functioning, or to require hospitalisation. The distinction between BP-II and bipolar I disorder (BP-I) is not clearcut. The symptoms of mania (defining BP-I) and hypomania (defining BP-II) are the same, apart from the presence of psychosis in mania, and the distinction is based on the presence of marked impairment associated with mania, i.e. mania is more severe and may require hospitalisation. This is an unclear boundary that can lead to misclassification; however, the fact that hypomania often increases functioning makes the distinction between mania and hypomania clearer. BP-II depression can be syndromal and subsyndromal, and it is the prominent feature of BP-II. It is often a mixed depression, i.e. it has concurrent, usually subsyndromal, hypomanic symptoms. It is the depression that usually leads the patient to seek treatment.DSM-IV bipolar disorders (BP-I, BP-II, cyclothymic disorder and bipolar disorder not otherwise classified, which includes very rapid cycling and recurrent hypomania) are now considered to be part of the 'bipolar spectrum'. This is not included in DSM-IV, but is thought to also include antidepressant/substance-associated hypomania, cyclothymic temperament (a trait of highly unstable mood, thinking and behaviour), unipolar mixed depression and highly recurrent unipolar depression.BP-II is underdiagnosed in clinical practice, and its pharmacological treatment is understudied. Underdiagnosis is demonstrated by recent epidemiological studies. While, in DSM-IV, BP-II is reported to have a lifetime community prevalence of 0.5%, epidemiological studies have instead found that it has a lifetime community prevalence (including the bipolar spectrum) of around 5%. In depressed outpatients, one in two may have BP-II. The recent increased diagnosing of BP-II in research settings is related to several factors, including the introduction of the use of semi-structured interviews by trained research clinicians, a relaxation of diagnostic criteria such that the minimum duration of hypomania is now less than the 4 days stipulated by DSM-IV, and a probing for a history of hypomania focused more on overactivity (increased goal-directed activity) than on mood change (although this is still required for a diagnosis of hypomania). Guidelines on the treatment of BP-II are mainly consensus based and tend to follow those for the treatment of BP-I, because there have been few controlled studies of the treatment of BP-II. The current, limited evidence supports the following lines of treatment for BP-II. Hypomania is likely to respond to the same agents useful for mania, i.e. mood-stabilising agents such as lithium and valproate, and the second-generation antipsychotics (i.e. olanzapine, quetiapine, risperidone, ziprasidone, aripiprazole). Hypomania should be treated even if associated with overfunctioning, because a depression often soon follows hypomania (the hypomania-depression cycle). For the treatment of acute BP-II depression, two controlled studies of quetiapine have not found clearcut positive effects. Naturalistic studies, although open to several biases, have found antidepressants in acute BP-II depression to be as effective as in unipolar depression; however, one recent large controlled study (mainly in patients with BP-I) has found antidepressants to be no more effective than placebo. Results from naturalistic studies and clinical observations on mixed depression, while in need of replication in controlled studies, indicate that antidepressants may worsen the concurrent intradepression hypomanic symptoms. The only preventive treatment for both depression and hypomania that is supported by several, albeit older, controlled studies is lithium. Lamotrigine has shown some efficacy in delaying depression recurrences, but there have also been several negative unpublished studies of the drug in this indication.
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Affiliation(s)
- Franco Benazzi
- Hecker Psychiatry Research Center, a University of California at San Diego (USA) Collaborating Center at Forli, Italy.
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Benazzi F. Delineation of the clinical picture of Dysphoric/Mixed Hypomania. Prog Neuropsychopharmacol Biol Psychiatry 2007; 31:944-51. [PMID: 17391823 DOI: 10.1016/j.pnpbp.2007.02.015] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/26/2006] [Revised: 02/26/2007] [Accepted: 02/27/2007] [Indexed: 11/18/2022]
Abstract
BACKGROUND While Mixed Depression (i.e. depression plus subthreshold concurrent manic/hypomanic symptoms) has recently seen a wave of studies, little is known about Dysphoric/Mixed Hypomania (i.e. combination of syndromal hypomania and depression) compared to Bipolar I Disorder Mixed State (i.e. combination of syndromal mania and depression). STUDY AIM To delineate the clinical picture of Dysphoric/Mixed Hypomania. METHODS Consecutive 441 Bipolar II Disorder (BP-II) Major Depressive Episode (MDE) outpatients were cross-sectionally assessed for depression and concurrent hypomanic symptoms when presenting for treatment of depression, by a mood disorder specialist psychiatrist (FB), using the Structured Clinical Interview for DSM-IV, in a private practice. Consecutive 275 remitted BP-II were also assessed for the clinical picture of past (recalled) Hypomania. Dysphoric Hypomania was defined as the co-occurrence of DSM-IV irritable mood Hypomania and MDE. RESULTS Frequency of Dysphoric Hypomania was 17.0%, and it was 66.4% for Mixed Depression. Irritable mood, always present by definition in Dysphoric Hypomania, was present in 65.9% of recalled Hypomania and elevated mood in 81.4%. Dysphoric Hypomania had significantly more racing/crowded thoughts, and much less increased goal-directed activity. Functioning was always impaired in Dysphoric Hypomania (by definition), while it was improved in most recalled Hypomanias. Factor structure was different: recalled Hypomania had three factors ('elevated mood', 'irritability and racing/crowded thoughts', 'goal-directed and risky overactivity'), Dysphoric Hypomania had five factors ('depressive vegetative symptoms', 'low mood and psychomotor agitation', 'risky activities', 'loss of interest', 'racing/crowded thoughts and suicidality'). DISCUSSION Dysphoric Hypomania was uncommon among depressed outpatients (while Mixed Depression was common). Its clinical picture was closer to depression than to hypomania. If it were seen as a simple depression, antidepressants could be used alone (i.e. not protected by mood stabilising agents), risking the worsening of intra-depression irritable hypomania (which was related to suicidality). Systematic assessment of intra-depression hypomanic symptoms is supported.
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Affiliation(s)
- Franco Benazzi
- Hecker Psychiatry Research Center, University of California at San Diego, USA.
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Abstract
Bipolar II disorder (recurrent depressive and hypomanic episodes) and related disorders (united in the bipolar spectrum) are understudied, despite a prevalence of about 5% in the community and about 50% in depressed outpatients. The apparent increase in prevalence of the bipolar spectrum is related to several changes in diagnostic criteria, including improved probing for history of hypomania (focused more on overactivity than on mood change), lower minimum duration of hypomania, and inclusion of unipolar depressions with bipolar signs (eg, family history of bipolar disorder, mixed depression). Prevalence of mixed depression, a combination of depression and manic or hypomanic symptoms, is high in patients with bipolar disorders. Controlled studies are needed to investigate treatment of mixed depression; antidepressants can worsen manic and hypomanic symptoms, and mood stabilising agents might be necessary.
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