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Early recognition of bipolar disorder

Published online by Cambridge University Press:  16 April 2020

Marta Hauser
Affiliation:
Early Recognition Center of Beginning Psychoses, Department of Psychiatry, Charité, Campus Mitte, Berlin, Germany
Andrea Pfennig
Affiliation:
Bipolar Research Group, Department of Psychiatry, Charité, Campus Mitte, Berlin, Germany
Seza Özgürdal
Affiliation:
Early Recognition Center of Beginning Psychoses, Department of Psychiatry, Charité, Campus Mitte, Berlin, Germany Bochum Early Recognition and Therapy Center, Department of Psychiatry, Ruhr-University Bochum, Bochum, Germany
Andreas Heinz
Affiliation:
Early Recognition Center of Beginning Psychoses, Department of Psychiatry, Charité, Campus Mitte, Berlin, Germany
Michael Bauer
Affiliation:
Bipolar Research Group, Department of Psychiatry, Charité, Campus Mitte, Berlin, Germany
Georg Juckel*
Affiliation:
Early Recognition Center of Beginning Psychoses, Department of Psychiatry, Charité, Campus Mitte, Berlin, Germany Bochum Early Recognition and Therapy Center, Department of Psychiatry, Ruhr-University Bochum, Bochum, Germany
*
*Corresponding author. Westfalian Centre Bochum, Psychiatry–Psychotherapy–Psychosomatic Medicine, Ruhr-University Bochum, Alexandrinenstrasse 1, 44791 Bochum, Germany. Tel.: +49 0234 5077 201; fax: +49 0234 5077 204. E-mail addresses: [email protected] (M. Hauser), [email protected] (A. Pfennig), [email protected] (S. Özgürdal), [email protected] (A. Heinz), [email protected] (M. Bauer), [email protected] (G. Juckel).
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Abstract

Bipolar disorders are frequently not diagnosed until long after their onset, leaving patients with no or correspondingly inadequate treatment. The course of the disorder is all the more severe and the negative repercussions for those affected all the greater. Concerted research effort is therefore going into learning how to recognize bipolar disorders at an early stage. Drawing on current research results, this paper presents considerations for an integrative Early Symptom Scale with which persons at risk can be identified and timely intervention initiated. This will require prospective studies to determine the predictive power of the risk factors integrated into the scale.

Type
Review Article
Copyright
Copyright © Elsevier Masson SAS 2006

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