Dataset Information

Testing a clinical staging model for bipolar disorder using longitudinal life chart data.

ABSTRACT:

Objective

Bipolar disorder has a wide range of clinical manifestations which may progress over time. The aim of this study was to test the applicability of a clinical staging model for bipolar disorder and to gain insight into the nature of the variables influencing progression through consecutive stages.

Methods

Using retrospectively reported longitudinal life chart data of 99 subjects from the Stanley Foundation Bipolar Network Naturalistic Follow-up Study, the occurrence, duration and timely sequence of stages 2-4 were determined per month. A multi-state model was used to calculate progression rates and identify determinants of illness progression. Stages 0, 1 and several other variables were added to the multi-state model to determine their influence on the progression rates.

Results

Five years after onset of BD (stage 2), 72% reached stage 3 (recurrent episodes) and 21% had reached stage 4 (continuous episodes), of whom 8% recovered back to stage 3. The progression from stage 2 to 3 was increased by a biphasic onset for both the depression-mania and the mania-depression course and by male sex.

Conclusions

Staging is a useful model to determine illness progression in longitudinal life chart data. Variables influencing transition rates were successfully identified.

SUBMITTER: van der Markt A

PROVIDER: S-EPMC6590317 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature

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Publications

Testing a clinical staging model for bipolar disorder using longitudinal life chart data.

van der Markt Afra A Klumpers Ursula Mh UM Draisma Stasja S Dols Annemiek A Nolen Willem A WA Post Robert M RM Altshuler Lori L LL Frye Mark A MA Grunze Heinz H Keck Paul E PE McElroy Susan L SL Suppes Trisha T Beekman Aartjan Tf AT Kupka Ralph W RW

Bipolar disorders 20181212 3

<h4>Objective</h4>Bipolar disorder has a wide range of clinical manifestations which may progress over time. The aim of this study was to test the applicability of a clinical staging model for bipolar disorder and to gain insight into the nature of the variables influencing progression through consecutive stages.<h4>Methods</h4>Using retrospectively reported longitudinal life chart data of 99 subjects from the Stanley Foundation Bipolar Network Naturalistic Follow-up Study, the occurrence, durat ...[more]

PMID: 30447123

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Dataset Information

Testing a clinical staging model for bipolar disorder using longitudinal life chart data.

Objective

Methods

Results

Conclusions

Publications

Testing a clinical staging model for bipolar disorder using longitudinal life chart data.

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