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시간생물학연구소 고려대학교 시간생물학연구소는 일주기리듬 연구를 통하여 현대인의 질병을 치료하고 예방합니다.

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[2024] Cho CH, Son S, Lee Y, Jeong J, Yeom JW, Seo JY, Moon E, Baek JH, Park DY, Kim SJ, Ha TH, Cha B, Kang HJ, Ahn YM, An H, Lee HJ. Identifying predictive factors for mood recurrence in early-onset major mood disorders: A 4-year, multicenter, prospe

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2024.04.18
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Observational Study
 
2024 May:335:115882.
 doi: 10.1016/j.psychres.2024.115882. Epub 2024 Mar 28.

Identifying predictive factors for mood recurrence in early-onset major mood disorders: A 4-year, multicenter, prospective cohort study

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Abstract

We investigate the predictive factors of the mood recurrence in patients with early-onset major mood disorders from a prospective observational cohort study from July 2015 to December 2019. A total of 495 patients were classified into three groups according to recurrence during the cohort observation period: recurrence group with (hypo)manic or mixed features (MMR), recurrence group with only depressive features (ODR), and no recurrence group (NR). As a result, the baseline diagnosis of bipolar disorder type 1 (BDI) and bipolar disorder type 2 (BDII), along with a familial history of BD, are strong predictors of the MMR. The discrepancies in wake-up times between weekdays and weekends, along with disrupted circadian rhythms, are identified as a notable predictor of ODR. Our findings confirm that we need to be aware of different predictors for each form of mood recurrences in patients with early-onset mood disorders. In clinical practice, we expect that information obtained from the initial assessment of patients with mood disorders, such as mood disorder type, family history of BD, regularity of wake-up time, and disruption of circadian rhythms, can help predict the risk of recurrence for each patient, allowing for early detection and timely intervention.

Keywords: Bipolar disorder; Circadian rhythm; Early-onset mood disorders; Major depressive disorder; Psychiatric scales; Recurrence prediction.

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