Elsevier

Journal of Affective Disorders

Volume 190, 15 January 2016, Pages 214-220
Journal of Affective Disorders

Research report
The 33-item Hypomania Checklist (HCL-33): A new self-completed screening instrument for bipolar disorder

https://doi.org/10.1016/j.jad.2015.09.057Get rights and content

Abstract

Background

Bipolar disorder (BD) is often misdiagnosed as major depressive disorder (MDD). This study tested the psychometric properties and the accuracy of the Chinese version of the 33-item Hypomania Checklist (HCL-33) to identify BD in Chinese clinical settings.

Methods

A total of 350 depressed patients were consecutively interviewed in a major psychiatric hospital in China. The patients’ socio-demographic and clinical characteristics were recorded using standardized protocol and data collection procedures. The HCL-33 was completed by patients to detect symptoms characteristic of mania and hypomania. DSM-IV diagnoses were established using the Mini International Neuropsychiatric Interview (MINI).

Results

The HCL-33 showed high internal consistency with two-factorial dimensions. The optimal cut-off point on the HCL-33 to differentiate BD from MDD was 15, while cut-off points of 14 and 13 differentiated BD-I and BD-II from MDD, respectively. The maximum sensitivity was 0.62, 0.67 and 0.72 for differentiating BD, BD-I and BD-II from MDD, respectively.

Conclusions

The HCL-33 is a useful tool for screening for BD in Chinese depressed patients. The routine clinical use of the HCL-33 as a screening instrument for BD in Chinese patients is recommended.

Introduction

Bipolar disorder (BD), particularly BD-II, is frequently misdiagnosed as major depressive disorder (MDD) in clinical practice leading to inappropriate treatment (APA, 2002, Hirschfeld et al., 2003), which, in turn, augments the risk for excess mortality and increases the economic burden. A depressive episode is usually the first mood syndrome at the onset of BD, and depressive episodes are more frequent than manic or hypomanic episodes in the course of the disorder (Solomon et al., 2006). In addition, hypomania is often experienced as normal by patients and their families and therefore not spontaneously reported to clinicians (Hirschfeld et al., 2003). Furthermore, clinicians tend not to investigate hypomania if patients present with a depressive episode. All these factors contribute to the failure to diagnose BD, making its early and accurate identification vitally important. In clinical practice recommendations for improving the diagnostic accuracy of BD include establishing a comprehensive history of hypomania/mania, supplemented with the administration of screening tools (Bowden, 2001, Hirschfeld and Vornik, 2004).

Standardized structured diagnostic interviews, such as the Mini International Neuropsychiatric Interview (MINI) and the Structural Clinical Interview for DSM-IV (SCID), are often used in research and even clinical practice, but applying these tools is time-consuming and requires well-trained raters. To overcome these difficulties, several self-report screening instruments have been developed to aid in the detection of BD. Based on DSM-IV diagnostic criteria, the 32-item Hypomania Checklist (HCL-32) is such a tool, which has been validated in many countries (Angst et al., 2005, Vieta et al., 2007). A transcultural analysis of the Bridge Study (Bipolar Disorders: Improving Diagnosis, Guidance and Education), which administered the HCl-32-R2 (an extended version of the HCL-32), showed that the former had good stability across five geographical regions (Iberia, Central Europe, Eastern Europe, North Africa/Near East, Far East including China) (Gamma et al., 2013). Based on those results, the HCL-33, a slightly modified version of the HCL-32 integrating a few additional questions, was produced. In addition to this self-administered version, a new instrument designed for external assessment was developed.

This study set out to examine the psychometric properties and accuracy of the HCL-33 for self-assessment as a screening tool for BD in Chinese depressed patients.

Section snippets

Study participants and settings

The study was carried out between 1 January and December 28, 2014 in the National Clinical Research Center for Mental Disorders located at Beijing Anding Hospital. The hospital has 800 beds, 1,100 outpatient visits daily and serves approximately 19 million people. Inpatients were enrolled in the study if they were aged between 18 and 65 years, had a diagnosis of MDD or BD depressive episode according to ICD-10 (ascertained by a review of medical records), understood the aims of the study, and

Demographic characteristics of sample

Altogether, 375 patients were screened and invited to participate in the study; 25 of these (6%) refused to participate or failed to complete the interview due to loss of interest in the study, lack of time or difficulty in understanding the content of the interview. There were no significant age or sex differences between the included patients and those who refused to participate or failed to complete the assessment. Eventually 350 patients were included in the analysis, 161 with MDD and 189

Discussion

This was the first study to examine the usefulness of the HCL-33 as a screening tool for BD in depressed patients. Compared to patients with MDD, patients with BD were younger, had a younger age at onset and more frequent episodes, which is consistent with the previously reported demographic and clinical features of Chinese BD patients (Xiang et al., 2013, Yang et al., 2011). The clinical features of BD, including early age at onset, frequent episodes, psychotic features and social withdrawal (

Conflict of interest

There is no conflict of interest concerning the authors in conducting this study and preparing the manuscript.

Role of the Funding Sources

This study was funded by the National Science and Technology Major Projects for "Major New Drugs Innovation and Development” (No.: 2012ZX09303014-002), Beijing Municipal Science and Technology Project (No.: D12100005012003 ), the Key Medical Specialties Development Project of Beijing Municipal Administration of Hospitals (No.:ZYLX201403), Beijing Institute for Brain Disorders (No.: BIBD-PXM201301422607000084) and the Start-up Research Grant (SRG2014-00019-FHS) and Multi-Year Research Grant

Acknowledgments

This study was funded by the National Science and Technology Major Projects for “Major New Drugs Innovation and Development” (No.: 2012ZX09303014-002), Beijing Municipal Science and Technology Project (No.: D12100005012003), the Key Medical Specialties Development Project of Beijing Municipal Administration of Hospitals (No.:ZYLX201403), Beijing Institute for Brain Disorders (No.: BIBD-PXM201301422607000084) and the Start-up Research Grant (SRG2014-00019-FHS) and Multi-Year Research Grant (

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These authors contributed equally to the paper.

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