Predictive factors of diagnostic conversion from major depressive disorder to bipolar disorder in young adults ages 19-34: A nationwide population study in South Korea

被引:12
作者
Kim, Hyewon [1 ]
Kim, Yuwon [2 ]
Baek, Ji Hyun [1 ]
Fava, Maurizio [3 ]
Mischoulon, David [3 ]
Nierenberg, Andrew A. [3 ,4 ]
Choi, Kwan Woo [5 ,6 ]
Na, Eun Jin [1 ]
Shin, Myung-Hee [7 ]
Jeon, Hong Jin [1 ,8 ,9 ]
机构
[1] Sungkyunkwan Univ, Dept Psychiat, Depress Ctr, Samsung Med Ctr,Sch Med, Seoul 135770, South Korea
[2] Samsung Med Ctr, Res Inst Future Med, Seoul, South Korea
[3] Harvard Med Sch, Depress Clin & Res Program, Massachusetts Gen Hosp, Boston, MA 02115 USA
[4] Harvard Med Sch, Bipolar Clin & Res Program, Massachusetts Gen Hosp, Boston, MA 02115 USA
[5] Korea Univ, Anam Hosp, Dept Psychiat, Coll Med, Seoul, South Korea
[6] Sch Med, Seoul, South Korea
[7] Sungkyunkwan Univ, Dept Social & Prevent Med, Sch Med, Seoul, South Korea
[8] Sungkyunkwan Univ, Dept Hlth Sci & Technol, Dept Med Device Management & Res, Seoul, South Korea
[9] Sungkyunkwan Univ, Dept Clin Res Design & Evaluat, SAIHST, Seoul, South Korea
基金
新加坡国家研究基金会;
关键词
Major depressive disorder; Dipolar disorder; Bipolar conversion; Young adults; RISK-FACTORS; CLINICAL-FEATURES; TRANSITION; PREVALENCE; EPILEPSY; EPISODE; LATENCY;
D O I
10.1016/j.jad.2020.01.009
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background: Predicting patients who convert to bipolar disorder is important for deciding appropriate treatment for young adults with major depressive disorder (MDD). We focused on the predictive factors of bipolar conversion in a large population of young adults. Methods: A nationwide, population-based electronic medical records database from the Health Insurance Review & Assessment service of South was used to investigate adjusted hazard ratio (HR) of each potential predictor of the bipolar converter group compared to the non-converter group using Cox regression analysis including age of onset, medication use, clinical features, comorbid disorders, admission, self-harm, and negative life events in childhood. Results: Among 291,721 subjects who were initially diagnosed with MDD in young adults, 12,376 subjects experienced diagnostic conversion to bipolar disorder. The cumulative incidence was 6.46% during the average 3.26 years of follow-up. Among the predictive factors during diagnosis of MDD, antipsychotic use (HR 3.12, 95%CI, 2.99-3.26, p < 0.0001) and mood stabilizers (HR 2.45, 95%CI, 2.35-2.55, p < 0.0001) showed the strongest association with diagnostic conversion to bipolar disorder. In addition, female sex, younger age of onset, mood stabilizer use, recurrent depression, psychotic symptoms, and admission to a psychiatric ward during diagnosis of MDD were also associated with diagnostic conversion to bipolar disorder. Conclusion: In young adults with MDD, antipsychotic and mood stabilizer use during diagnosis of MDD were the strongest predictive factors with diagnostic conversion to bipolar disorder during follow-up. If young adults with MDD need antipsychotics or mood stabilizer, patients should be carefully evaluated for possibility of bipolar disorder.
引用
收藏
页码:52 / 58
页数:7
相关论文
共 35 条
  • [21] Patterns and predictors of conversion to bipolar disorder in 91 587 individuals diagnosed with unipolar depression
    Musliner, K. L.
    Ostergaard, S. D.
    [J]. ACTA PSYCHIATRICA SCANDINAVICA, 2018, 137 (05) : 422 - 432
  • [22] Risk factors for conversion from unipolar psychotic depression to bipolar disorder
    Ostergaard, Soren Dinesen
    Straszek, Sune
    Petrides, Georgios
    Skadhede, Soren
    Jensen, Signe Olrik Wallenstein
    Munk-Jorgensen, Povl
    Nielsen, Jimmi
    [J]. BIPOLAR DISORDERS, 2014, 16 (02) : 180 - 189
  • [23] Transition to Mania During Treatment of Bipolar Depression
    Perlis, Roy H.
    Ostacher, Michael J.
    Goldberg, Joseph F.
    Miklowitz, David J.
    Friedman, Edward
    Calabrese, Joseph
    Thase, Michael E.
    Sachs, Gary S.
    [J]. NEUROPSYCHOPHARMACOLOGY, 2010, 35 (13) : 2545 - 2552
  • [24] A systematic review and meta-analysis of prospective transition from major depression to bipolar disorder
    Ratheesh, A.
    Davey, C.
    Hetrick, S.
    Alvarez-Jimenez, M.
    Voutier, C.
    Bechdolf, A.
    McGorry, P. D.
    Scott, J.
    Berk, M.
    Cotton, S. M.
    [J]. ACTA PSYCHIATRICA SCANDINAVICA, 2017, 135 (04) : 273 - 284
  • [25] Functional Impairment and Disability across Mood States in Bipolar Disorder
    Rosa, Adriane R.
    Reinares, Maria
    Michalak, Erin E.
    Mar Bonnin, C.
    Sole, Brisa
    Franco, Carolina
    Comes, Merce
    Torrent, Carla
    Kapczinski, Flavio
    Vieta, Eduard
    [J]. VALUE IN HEALTH, 2010, 13 (08) : 984 - 988
  • [26] Data Resource Profile: The National Health Information Database of the National Health Insurance Service in South Korea
    Seong, Sang Cheol
    Kim, Yeon-Yong
    Khang, Young-Ho
    Park, Jong Heon
    Kang, Hee-Jin
    Lee, Heeyoung
    Do, Cheol-Ho
    Song, Jong-Sun
    Bang, Ji Hyon
    Ha, Seongjun
    Lee, Eun-Joo
    Shin, Soon Ae
    [J]. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2017, 46 (03) : 799 - 800
  • [27] Clinical and demographic features of mood disorder subtypes
    Serretti, A
    Mandelli, L
    Lattuada, E
    Cusin, C
    Smeraldi, E
    [J]. PSYCHIATRY RESEARCH, 2002, 112 (03) : 195 - 210
  • [28] Spectrum of Autoantibodies in Tunisian Psychiatric Inpatients
    Sidhom, Oussama
    Laadhar, Lilia
    Zitouni, Mondher
    Ben Alaya, Nissaf
    Rafrafi, Rym
    Kallel-Sellami, Marayam
    Lahmar, Houria
    El Hechmi, Zouhair
    Makni, Sondes
    [J]. IMMUNOLOGICAL INVESTIGATIONS, 2012, 41 (05) : 538 - 549
  • [29] Early age at onset of bipolar disorder is associated with more severe clinical features but delayed treatment seeking
    Suominen, Kirsi
    Mantere, Outi
    Valtonen, Hanna
    Arvilommi, Petri
    Leppaemaeki, Sami
    Paunio, Tiina
    Isometsae, Erkki
    [J]. BIPOLAR DISORDERS, 2007, 9 (07) : 698 - 705
  • [30] A comprehensive analysis of features that suggest bipolarity in patients with a major depressive episode: Which is the best combination to predict soft bipolarity diagnosis?
    Takeshima, Minoru
    Oka, Takashi
    [J]. JOURNAL OF AFFECTIVE DISORDERS, 2013, 147 (1-3) : 150 - 155