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Risk Calculators in Bipolar Disorder: A Systematic Review

Authors :
Joana Silva Ribeiro
Daniela Pereira
Estela Salagre
Manuel Coroa
Pedro Santos Oliveira
Vítor Santos
Nuno Madeira
Iria Grande
Eduard Vieta
Source :
Brain Sciences, Vol 10, Iss 8, p 525 (2020)
Publication Year :
2020
Publisher :
MDPI AG, 2020.

Abstract

Introduction: Early recognition of bipolar disorder improves the prognosis and decreases the burden of the disease. However, there is a significant delay in diagnosis. Multiple risk factors for bipolar disorder have been identified and a population at high-risk for the disorder has been more precisely defined. These advances have allowed the development of risk calculators to predict individual risk of conversion to bipolar disorder. This review aims to identify the risk calculators for bipolar disorder and assess their clinical applicability. Methods: A systematic review of original studies on the development of risk calculators in bipolar disorder was performed. The studies’ quality was evaluated with the Newcastle-Ottawa Quality Assessment Form for Cohort Studies and according to recommendations of the Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis Initiative. Results: Three studies met the inclusion criteria; one developed a risk calculator of conversion from major depressive episode to bipolar disorder; one of conversion to new-onset bipolar spectrum disorders in offspring of parents with bipolar disorder; and the last one of conversion in youths with bipolar disorder not-otherwise-specified. Conclusions: The calculators reviewed in this article present good discrimination power for bipolar disorder, although future replication and validation of the models is needed.

Details

Language :
English
ISSN :
20763425
Volume :
10
Issue :
8
Database :
Directory of Open Access Journals
Journal :
Brain Sciences
Publication Type :
Academic Journal
Accession number :
edsdoj.3399dd64b84162967d57e6176e2a22
Document Type :
article
Full Text :
https://doi.org/10.3390/brainsci10080525