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Zurich University Psychiatric Hospital, Lenggstrasse 31, PO Box 1931, CH8032 Zürich, Switzerland. Email: jangst{at}bli.unizh.ch
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Bipolar affective disorder is a more severe disorder than major depression, as measured by higher lifelong recurrence and greater comorbidity with psychiatric disorders, especially anxiety and secondary substance use disorders. In addition it is associated with serious somatic disorders such as diabetes, hypertension and cardiovascular disease. This explains the correspondingly higher mortality rates among people with bipolar disorder, although the suicide risk is lower in type I bipolar disorder than in depression (Ösby et al, 2001).
Correct diagnosis of bipolar illness is essential for appropriate treatment, especially long-term secondary prophylaxis. As a consequence of their severity, unrecognised bipolar disorders lead, moreover, to higher costs than major depression, but these can be considerably reduced by early diagnosis and treatment, as recently shown by McCombs et al (2006).
The underdiagnosis of mood disorders, especially bipolar disorders, is not confined to the clinical setting but may also apply to traditional epidemiological studies, which found lifetime prevalence rates of 0.52%. Some recent studies (Kessler et al, 2003; Lieb, 2006) comprising two or three interview waves have described growing lifetime prevalence rates for both major depressive episodes (19% to 24%) and for bipolar disorder types I and II together (about 2% to 4%). An important question, then, is what proportion of patients with major depression should in fact be diagnosed as having bipolar disorder: is it one-fifth or one-tenth as generally reported, or as many as half, as we have found?
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A dimensional concept (from normal to pathological) was proposed by Kretschmer in 1921 for schizophrenia (schizothymic schizoid schizophrenic) and for affective disorders (cyclothymic temperament cycloid `psychopathy' manic-depressive disorder) as well as by Bleuler (1922). The term `spectrum' was first used in psychiatry in 1968 for the schizophrenia spectrum, which integrated schizoid personalities (Kety et al, 1968). In 1977 Akiskal proposed a cyclothymicbipolar spectrum and in 1981 Klerman suggested a mania spectrum (Akiskal, 1977; Klerman, 1981).
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Fig. 1 Two-dimensional mood/affective spectrum (does not include schizoaffective
disorder, as a transition to the schizophrenic spectrum). The precise
relationship of personality disorders to the disease spectra is uncertain and
an unsolved general problem of psychiatric classification. BP-I (-II),
bipolar-I disorder type I (II); D, major depression, d, minor depression; M,
mania; m, hypomania; MDD, major depressive disorder; RBD, recurrent brief
depression; sx, symptoms
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This proportional model is an extension of Kleist's concept of bipolar disorder as a combination of the two monopolar disorders depression and mania (Kleist, 1937, 1953). This model has proved fruitful not only in incorporating bipolar I and bipolar II disorders but also in differentiating mania with or without mild depression (Md/M) from bipolar I disorder (MD). Mania is not identical to bipolar I disorder in terms of family history, course and suicide risk, and on the sub-threshold level hypomania is not the same as minor bipolar disorder or cyclothymic disorder in terms of family history and temperament.
Both the above bipolar spectrum concepts are dimensional in nature, having no natural categorical subgroups. Epidemiological and clinical studies have demonstrated the continuous distribution of depressive and hypomanic/manic symptoms and syndromes from normal to pathological. Psychiatric symptoms in consulting populations have been shown to be dimensional (Goldberg, 2000). Moreover, in a 20-year follow-up, patients with type I and type II bipolar disorder were found to spend about half the time in sub-threshold affective conditions, and these were dimensional, involving the full range of symptom severity of depression and hypomania (Judd et al, 2003). Most healthy people report depressive and hypomanic symptoms and many are identifiable as manifesting depressive, hypomanic and cyclothymic temperaments, which appear to predispose to the respective affective disorders and personality disorders (see Fig. 1). Only about 15% of the population report no such symptom over their lifetime and are `super-normal', with very low scores for vegetative lability and neuroticism.
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What we need today is an empirically validated, sensitive definition of hypomania, which will allow early recognition of major and minor bipolar disorders. Promising modern screening instruments for the self-assessment of hypomanic symptoms have now been developed such as the Mood Disorder Questionnaire (Hirschfeld et al, 2000) and the Hypomania Checklist32 (Angst et al, 2005), but there is still no gold standard for valid cut-off points for caseness on these continuous measures: that would depend on a validated definition of hypomania, which is still lacking. A similar problem is present in measures of temperament, where clear distinctions between depressive, hyperthymic and cycloid (`cyclothymic') personality disorders are desirable.
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Too many studies, especially in epidemiology, have used methods tailored and restricted to the current DSMIV diagnostic concepts and have not collected additional data which would have allowed those concepts to be questioned and too many journals and reviewers hesitate to accept papers that deviate methodologically from the current diagnostic conservatism. At the other extreme, the promising bipolar spectrum concept can be discredited by uncritical generalisations and over-inclusiveness, for instance by taking for granted that cyclothymic personality or borderline disorders are validated elements of the bipolar spectrum. These hypotheses may be correct, but we need much more genetic and follow-up evidence to support them.
We can safely assume that the prevalence of bipolar disorders is seriously under-reported and that the burden of bipolar disorder, estimated by the World Health Organization to be much lower than that of depression, will as a consequence have to be reassessed.
The mood spectrum is also embedded in the spectrum of functional psychoses, including schizophrenia and schizoaffective and affective disorders. There is growing clinical evidence that the spectrum approach, with its dimensional nature, offers a real alternative to the traditional Kraepelinian dichotomy of schizophrenia v. manic-depressive insanity (Marneros, 2006) and the unipolarbipolar dichotomy. Moreover, in agreement with clinical genetic studies (Angst & Scharfetter, 1990), modern molecular genetic studies demonstrate that there is no clear-cut distinction between schizophrenia and bipolar affective disorder; both clinically and genetically they share many features (Craddock & Owen, 2005).
Diagnostic concepts of psychiatric syndromes are purely descriptive and cannot constitute diseases (Kendell, 1999). The proposed mood spectrum model unifies categorical classification, which is essential, with a dimensional view, which is true to nature; both are needed and both are empirically testable.
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