Volume 31, Issue. 1, February, 2015


Atypical features and treatment choices in bipolar disorders: a result of the National Bipolar Mania Pathway Survey in China

 Daihui Peng1, Ting Shen1, Linda Byrne2, Chen Zhang1, Yueqi Huang1, Xin Yu3, Jingping Zhao4, Marita McCabe2, David Mellor2, Yiru Fang1 


1Division of Mood Disorders, Shanghai Clinical Center for Mental Disorder, Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
2School of Psychology (Burwood Campus), Deakin University, Melbourne, Australia
3Institute of Mental Health, Peking University, Beijing 100191, China
4Mental Health Institute, The Second Xiangya Hospital of Central South University, Changsha 410011, China
Corresponding author: Yiru Fang. E-mail: yirufang@gmail.com

Abstract 

In this study, we examined the point prevalence rate of atypical features in bipolar disorder, and estimated the potential impact of these features on treatment practices in China. Using the atypical features criteria of the Diagnostic and Statistical Manual of the American Psychiatric Association (DSM-IV), we documented the atypical symptoms in 3 906 consecutive participants with bipolar disorder enrolled at 26 psychiatric services across China. We further assessed the association between atypical features and the treatment approaches, including the prescription of antidepressants. The overall point prevalence rate of atypical features was 9.1% among patients with various bipolar disorder subtypes. When the definition was broadened to include atypical features B, the overall rate increased to 11.8%. Interestingly, among patients with the mixed state and remission subtypes, there was a significant difference in the rates of antidepressant medication usage between patients who met and those who did not meet the criteria for atypical features B. These fi ndings indicate a trend of using antidepressants for these two types of patients with atypical features. Further, for both mixed state and remission patients, treatment approaches were related to atypical features B. Our findings provide evidence to assist clinicians to readily recognize atypical features in bipolar subtypes and can propose treatments based on these diagnoses.

Keywords

atypical features; bipolar; treatment; antidepressant

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