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Residual mood symptoms and number of previous episodes predict recurrence of bipolar disorder
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  1. Björn Meyer, PhD
  1. City University, London, UK

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Q What factors are associated with recurrence in people with bipolar disorder?

METHODS

Embedded ImageDesign:

Prospective cohort study.

Embedded ImageFollow up period:

Up to 24 months (median 94.5 weeks).

Embedded ImageSetting:

Systematic Treatment Enhancement Program for Bipolar Disorder, multiple centres, USA; time period not stated.

Embedded ImagePeople:

858 people aged 15 years or older with DSM-IV bipolar disorder, who were symptomatic at study entry (⩾3 clinically significant symptoms at study entry or over the preceding 8 weeks) and recovered (⩽2 clinically significant symptoms for at least 8 weeks) during the 2 year follow up period.

Embedded ImageRisk factors:

Residual mood symptoms (clinically significant or subsyndromal) at recovery; axis I comorbidity (DSM-IV); prior number of episodes. Cox regression models were used to assess the association between predictors and time to recurrence.

Embedded ImageOutcomes:

Rate of recurrence (defined as meeting the full DSM-IV criteria for mania, hypomania, mixed state or depressive episode on any follow up visit), and time to recurrence.

MAIN RESULTS

About half (416/858 (49%)) of participants had a recurrence of bipolar disorder after recovery, with median time to recurrence of 44.9 weeks. People with at least two residual symptoms of mood elevation at recovery had a shorter time to recurrence of depression (log rank p = 0.002) or mania/hypomania (log rank p<0.001). Substance abuse at study entry increased the risk of manic recurrence (hazard ratio (HR) 1.63, 95% CI 1.01 to 2.57). People with an anxiety disorder at study entry were more likely to have a depressive recurrence (HR 1.32, 95% CI 1.04 to 1.68), as were people who had ever experienced an eating disorder (HR 1.65, 95% CI 1.13 to 2.41). The risk of recurrence of a depressive episode was increased in people with 20 or more previous episodes of depression compared with people with fewer than 5 previous episodes (HR 1.30, 95% CI 1.03 to 1.66). Similarly, the risk of recurrence of a mood elevated episode was increased in people with 20 or more prior episodes of hypomania/mania compared with people with fewer than 5 previous episodes (HR 1.55, 95% CI 1.07 to 2.25).

CONCLUSIONS

Residual mood symptoms at recovery from bipolar disorder reduce the time to recurrence of both depression and mood elevation. People who have had more previous bipolar episodes are more likely to have a recurrence after recovery.

Commentary

Perlis et al followed 858 outpatients with a diagnosis of bipolar disorder for an average of about one year after recovery. Based on their findings, bipolar disorder, even when treated appropriately, remains a highly recurrent syndrome. Roughly half of the participants experienced a recurrence of a depressive or mood elevated episode over follow up, with depressive recurrences approximately twice as common as mood elevated ones.

Several predictors of recurrence were identified. For example, having spent a greater amount of time in a depressed or anxious state in the recent past predicted a greater likelihood of depressive symptom recurrence in the future, whereas having spent more time in a manic state predicted future mood elevation. Interestingly, a greater number of depressive episodes in the previous year also predicted manic episode recurrence, lending some support to the idea that manic episodes can emerge in response to prior depression. Such findings could be used to support the manic defense hypothesis, which has recently received renewed attention.1

Several strengths of this study can be highlighted, such as the large sample, prospective design, and careful diagnostic and symptom assessment procedures. The study is important because it demonstrates once again that the risk for recurrence in bipolar disorder remains high, even when it is treated appropriately. An obvious clinical implication is that residual symptoms should be targeted aggressively after initial recovery, which might reduce risk for subsequent symptom intensification. The study identified several demographic and illness related predictors of symptom course, although it did not focus specifically on psychosocial predictors of symptom course, such as expressed emotion, social support, life events, personality, sleep deprivation, or cognitive emotional responses to incentives. Such psychosocial processes, however, may also predict the course of bipolar symptoms2 and thus equally deserve attention in future research.

References

Footnotes

  • For correspondence: Dr Roy Perlis, Massachusetts General Hospital, ACC 812, 15 Parkman Street, Boston, MA 02114, USA; rperlis{at}partners.org

  • Sources of funding: NIMH grant (N01 MH-80001) and NIMH K23 Career Development Award for Dr Perlis (K23 MH-06706).