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Instruments that prospectively predict bipolar disorder - a systematic review.

journal contribution
posted on 2015-07-01, 00:00 authored by A Ratheesh, Michael BerkMichael Berk, C G Davey, P D McGorry, S M Cotton
BACKGROUND: Identification of earlier stages of Bipolar Disorder (BD), even prior to the first manic episode, may help develop interventions to prevent or delay the onset of BD. However, reliable and valid instruments are necessary to ascertain such earlier stages of BD. The aim of the current review was to identify instruments that had predictive validity and utility for BD for use in early intervention (EI) settings for the prevention of BD. METHODS: We undertook a systematic examination of studies that examined participants without BD I or II at baseline and prospectively explored the predictive abilities of instruments for BD onset over a period of 6 months or more. The instruments and the studies were rated with respect to their relative validity and utility predicting onset of BD for prevention or early intervention. Odds ratios and area under the curve (AUC) values were derived when not reported. RESULTS: Six studies were included, identifying five instruments that examined sub-threshold symptoms, family history, temperament and behavioral regulation. Though none of the identified instruments had been examined in high-quality replicated studies for predicting BD, two instruments, namely the Child Behavioral Checklist - Pediatric BD phenotype (CBCL-PBD) and the General Behavioral Inventory - Revised (GBI-R), had greater levels of validity and utility. LIMITATION: Non-inclusion of studies and instruments that incidentally identified BD on follow-up limited the breadth of the review. CONCLUSION: Instruments that test domains such as subthreshold symptoms, behavioral regulation, family history, and temperament hold promise in predicting BD onset.

History

Journal

Journal of affective disorders

Volume

179

Pagination

65 - 73

Publisher

Elsevier

Location

Amsterdam, The Netherlands

ISSN

1573-2517

Language

eng

Publication classification

C Journal article; C1 Refereed article in a scholarly journal

Copyright notice

2015, Elsevier