The use of Mood Disorder Questionnaire, Hypomania Checklist-32 and clinical predictors for screening previously unrecognised bipolar disorder in a general psychiatric setting

Assessment of the diagnostic performance of two new tools versus routine screening instruments for bipolar disorder: a meta-analysis

OBJECTIVE

The present meta-analysis was conducted to determine the diagnostic accuracy of the bipolarity index (BI) and Rapid Mode Screener (RMS) as compared with the Bipolar Spectrum Diagnostic Scale (BSDS), the Hypomania Checklist (HCL-32), and the Mood Disorder Questionnaire (MDQ) in people with bipolar disorder (BD).

METHODS

We systematically searched five databases using standard search terms, and relevant articles published between May 1990 and November 30, 2021 were collected and reviewed.

RESULTS

Ninety-three original studies were included (n=62,291). At the recommended cutoffs for the BI, HCL-32, BSDS, MDQ, and RMS, the pooled sensitivities were 0.82, 0.75, 0.71, 0.71, and 0.78, respectively, while the corresponding pooled specificities were 0.73, 0.63, 0.73, 0.77, and 0.72, respectively. However, there was evidence that the accuracy of the BI was superior to that of the other tests, with a relative diagnostic odds ratio (RDOR) of 1.22 (0.98-1.52, p < 0.0001). The RMS was significantly more accurate than the other tests, with an RDOR (95%CI) of 0.79 (0.67-0.92, p < 0.0001) for the detection of BD type I (BD-I). However, there was evidence that the accuracy of the MDQ was superior to that of the other tests, with an RDOR of 1.93 (0.89-2.79, p = 0.0019), for the detection of BD type II (BD-II).

CONCLUSION

The psychometric properties of two new instruments, the BI and RMS, in people with BD were consistent with considerably higher diagnostic accuracy than the HCL-32, BSDS, and MDQ. However, a positive screening should be confirmed by a clinical diagnostic evaluation for BD.

A critical examination of multidimensionality within the Hypomanic Personality Scale

BACKGROUND

The Hypomanic Personality Scale (HPS) assesses bipolar spectrum psychopathology and risk for bipolar disorders. Despite the developers' intent to create a scale that provides a unitary score, several studies have examined whether the HPS has a multidimensional structure. These models have been unable to identify a replicable multidimensional structure, with models varying from fairly similar to entirely dissimilar, and have suffered from theoretical and methodological concerns.

PROCEDURES

We therefore examined the multidimensional structure of the HPS in a large undergraduate and adult sample (n = 5002).

MAIN FINDINGS

We failed to reproduce factors with equal congruence to those of previously published models.

PRINCIPLE CONCLUSIONS

We concluded that the HPS lacks factorial validity in previous research as a multidimensional measure of bipolar spectrum psychopathology. We further recommend the creation of a novel multidimensional assessment of bipolar spectrum psychopathology developed from a theoretically driven, comprehensive model, rather than examining a multidimensional model of a pre-existing measure, such as the HPS.

A piece of the puzzle: Does bipolarity partly explain the high prevalence of treatment resistance in depression?

In this cross-sectional study we examined whether the prevalence of treatment resistant depression (TRD) can be partly attributed to level of bipolarity. We included data of 201 patients with either episodic depression or TRD, who received treatment for their depression at either an outpatient or 2nd opinion/daytime setting, within a specialised mental healthcare department in the Netherlands. Whether level of TRD, assessed by the 'Dutch Measure for quantification of Treatment Resistance in Depression', can be partly explained by level of bipolarity, assessed by 'the Bipolarity Index', was examined using linear regression. We found no direct association between level of TRD and level of bipolarity, nor did comorbid anxiety disorders obscure an existing association. In this study we found no evidence for overlooked bipolarity contributing to the high prevalence of TRD. If replicated, we could state that additional screening on bipolarity with an instrument such as the 'Bipolarity Index' in the specialised mental health care is unnecessary.

Hypomanic symptoms in early pregnancy: prevalence and associated factors

Given that the perinatal period is a time of increased risk for pregnant women to manifest mental health problems, the identification of antenatal hypomanic symptoms is particularly important. However, data on antenatal hypomanic symptoms is lacking. The present study was aimed at filling this research gap by investigating the prevalence of hypomanic symptoms, including the "active-elated" and "irritable/risk-taking" sides of hypomanic symptoms at the first trimester, and examining their associations with anxiety and depressive symptoms at the following time points: the first trimester, the second trimester, and up to 6-week postpartum. A prospective longitudinal design with a quantitative approach was adopted. A consecutive sample of 229 pregnant Chinese women in Hong Kong was assessed. Hypomanic symptoms were assessed with the Hypomania Checklist-32 (HCL-32). Of the sample, 43.6% had elevated levels of hypomanic symptoms in the first trimester. Multiple regression analysis showed that after adjusting for potential confounding factors, irritable/risk-taking symptoms were independently associated with higher anxiety symptoms in the first and second trimesters and in the 6-week postpartum period. Primary healthcare practitioners should be made aware of antenatal hypomanic symptoms in pregnant women to facilitate early identification and intervention for anxiety and depression to improve the well-being of both mothers and infants.

Comparing Screening Abilities of the 33-Item Hypomania Checklist (HCL-33) and the 33-Item Hypomania Checklist External Assessment (HCL-33-EA) for the Detection of Bipolar Disorder

Background: Bipolar disorder (BD) is a severe psychiatric disorder that is often misdiagnosed and under-diagnosed in clinical settings. The 33-item Hypomania Checklist (HCL-33) is a newly developed self-administered scale for BD detection, while the 33-item Hypomania Checklist-external assessment (HCL-33-EA) is a version of the HCL-33 for external rating used by patient's carer (e.g., family member or friend). We aimed to compare the screening abilities between the HCL-33 and the HCL-33-EA, and evaluate the screening consistency between the two scales. Methods: The data were collected from 269 patients with diagnosed BD (n = 84) or major depressive disorder (MDD) (n = 185). The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and area under the curve (AUC) between the HCL-33 and the HCL-33-EA for BD were compared against clinician diagnosis as the gold standard. Results: Using Youden's index, the optimal cut-off value of the HCL-33 is 20, while the corresponding figure for HCL-33-EA is 11. Using Youden's index, the HCL-33-EA showed a better performance than the HCL-33 (0.51 vs.0.41). The HCL-33-EA was more sensitive in correctly identifying BD patients from MDD patients than the HCL-33 (0.83 vs. 0.59), while the HCL-33 presented better specificity than the HCL-33-EA (0.82 vs. 0.68). There was significant screening consistency between the two scales (p < 0.001). Conclusions: Both scales have acceptable psychometric properties in detection BD from MDD. Use of the two scales should be considered based on the assessment purpose in clinical research or daily practice (i.e., prefer sensitivity or specificity). Noticeably, the current sample size is insufficient and future studies are recommended to further evaluate the scales.

Improving Knowledge and Increasing Use of a Screening Tool in an Outpatient Psychiatric Clinic

Less than half of providers use screening tools to diagnose adult psychiatric patients. The bipolar population is specifically vulnerable to an inaccurate diagnosis. The goal of this project was to improve use of screening tools, specifically the HCL-32 in a rural adult psychiatric clinic. Following the end of the project, guidelines were analyzed to determine factors that could have improved the outcome. A pre-survey was administered to the 11 participating providers. Following the survey, a 10-minute educational session was given to each provider. Two months following the education, a post-survey was conducted. A chart review was completed to confirm post-survey results.

Validity of the Mood Disorder Questionnaire (MDQ) as a screening tool for bipolar spectrum disorders in anabaptist populations

The Mood Disorder Questionnaire (MDQ) is an established screening tool for bipolar spectrum disorders (BSD), but has not been validated in diverse populations and the best scoring method remains uncertain. This study assessed diagnostic validity of the MDQ among Anabaptists, an underserved population frequently involved in genetic research. 161 participants completed the MDQ and were diagnosed by a best-estimate final diagnosis (BEFD). Diagnostic agreements between alternate MDQ scoring methods and the BEFD were quantified using Cohen's Kappa (κ), sensitivity (α), and specificity (β). Scoring criteria evaluated included >7 simultaneous symptoms and at least moderate impairment, >7 simultaneous symptoms, with at least mild impairment, >7 symptoms only, with no further requirement, and three novel scoring methods that require >5 symptoms or fewer. Diagnostic agreement varied. The original method proved most specific but had the lowest κ and sensitivity. κ increased with more liberal scoring criteria, reaching a maximum under the lower-threshold symptom methods, with little loss of specificity in the 5-symptom method. Decreasing the symptom threshold below 5 conferred little or no benefit. These results support the diagnostic validity of the MDQ among this Anabaptist sample and suggest that a 5-symptom scoring method may increase diagnostic sensitivity in populations at high risk for bipolar disorder.

Short versions of the 32-item Hypomania Checklist: A systematic review

PURPOSE

Bipolar disorder (BD) is frequently misdiagnosed, which can lead to negative outcomes. The 32-item Hypomania Checklist (HCL-32) is one of the most widely used self-reported screening instruments for hypomanic symptoms, which has several short versions. This systematic review examined the psychometric properties of HCL-32 short versions.

DESIGN AND METHODS

Five international databases were systematically and independently searched by two researchers for studies that developed the HCL short versions. Basic demographic and clinical characteristics and the psychometric properties of the HCL short versions were recorded.

FINDINGS

Eighteen studies were identified. The majority of the HCL short versions showed satisfactory to good psychometric properties.

PRACTICE IMPLICATIONS

Validated HCL short versions with satisfactory psychometric properties may be helpful in screening for BD.

Comparing two short versions of the 32-item Hypomania Checklist (HCL-32) for patients with bipolar disorder

PURPOSE

To compare the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) between Hypomania Checklist-20 (HCL-20) and HCL-16.

DESIGN AND METHODS

Altogether, 350 subjects with bipolar disorders (BD) or major depressive disorders (MDD) were included. The sensitivity, specificity, PPV, NPV, and area under the curve between the HCL-20 and the HCL-16 for BD and its subtypes were compared.

FINDINGS

The HCL-16 demonstrated superior performance in terms of sensitivity + specificity than HCL-20. For discriminating BD and BD-I patients from MDD patients, HCL-16 showed better sensitivity than HCL-20, while HCL-20 showed better specificity than HCL-16.

PRACTICE IMPLICATIONS

Our results showed that both HCL-20 and HCL-16 have a fair screening ability, but HCL-16 showed a relatively superior performance considering its length.

Predicting Bipolar Disorder Risk Factors in Distressed Young Adults From Patterns of Brain Activation to Reward: A Machine Learning Approach

Background

The aim of this study was to apply multivariate pattern recognition to predict the severity of behavioral traits and symptoms associated with risk for bipolar spectrum disorder from patterns of whole-brain activation during reward expectancy to facilitate the identification of individual-level neural biomarkers of bipolar disorder risk.

Methods

We acquired functional neuroimaging data from two independent samples of transdiagnostically recruited adults (18–25 years of age; n = 56, mean age 21.9 ± 2.2 years, 42 women; n = 36, mean age 21.2 ± 2.2 years, 24 women) during reward expectancy task performance. Pattern recognition model performance in each sample was measured using correlation and mean squared error between actual and whole-brain activation–predicted scores on behavioral traits and symptoms.

Results

In the first sample, the model significantly predicted severity of a specific hypo/mania-related symptom, heightened energy, measured by the energy manic subdomain of the Mood Spectrum Structured Interviews (r = .42, p = .001; mean squared error = 9.93, p = .001). The region with the highest contribution to the model was the left ventrolateral prefrontal cortex. Results were confirmed in the second sample (r = .33, p = .01; mean squared error = 8.61, p = .01), in which the severity of this symptom was predicted using a bilateral ventrolateral prefrontal cortical mask (r = .33, p = .009, mean squared error = 9.37, p = .04).

Conclusions

The severity of a specific hypo/mania-related symptom was predicted from patterns of whole-brain activation in two independent samples. Given that emerging manic symptoms predispose to bipolar disorders, these findings could provide neural biomarkers to aid early identification of individual-level bipolar disorder risk in young adults.

Comparison of the screening ability between the 32-item Hypomania Checklist (HCL-32) and the Mood Disorder Questionnaire (MDQ) for bipolar disorder: A meta-analysis and systematic review

The frequent misdiagnosis of bipolar disorder (BD) is associated with detrimental consequences and inappropriate treatments. The 32-item Hypomania Checklist (HCL-32) and the Mood Disorder Questionnaire (MDQ) are widely used self-report screening instruments for BD. This is a systematic review and meta-analysis to compare the psychometric properties of the HCL-32 and the MDQ based on the same patient samples. Two reviewers systematically and independently searched PubMed, PsycINFO, EMBASE, Web of Science, and Cochrane Library databases. Studies using the HCL-32 and MDQ concurrently and reporting their psychometric properties were included. Eleven studies that met the entry criteria were included in the systematic review, and 9 studies with relevant data were included in the meta-analysis. Using study-defined cutoffs, summary sensitivities were 82% (95% CI: 72%-89%) and 80% (95% CI: 71%-86%), while specificities were 57% (95% CI: 48%-66%) and 70% (95% CI: 59%-71%) for the HCL-32 and the MDQ respectively. Both the HCL-32 and the MDQ have acceptable psychometric properties to identify BD and appear to be useful screening tools for BD.

Screening for psychiatric disorders with self-administered questionnaires

Given the time demands of clinical practice it is not surprising that diagnoses are sometimes missed. To improve diagnostic recognition, self-administered screening scales have been recommended. A problem with much of the research effort on screening scales is the confusion between diagnostic testing and screening. It is important for a screening test to have high sensitivity because the more time intensive/expensive follow-up diagnostic inquiry will presumably only occur in patients who are positive on the initial screen. Investigators vary in how they analyze their data in determining the recommended cutoff score on a self-administered screening questionnaire. To illustrate this, in the present report we examined how often each of the different approaches towards determining a cutoff score on bipolar disorder screening scales were used. We reviewed 68 reports of the performance of the 3 most commonly researched bipolar disorder screening scales to determine how the recommended cutoff on the scale was derived. Most studies recommended a cutoff point on the screening scale that optimized the level of agreement with the diagnostic gold standard. Only 11 (16.2%) studies recommended a cutoff that prioritized the scale's sensitivity. It is important for clinicians to understand the difference between screening and diagnostic tests. The results of the present study indicate that most studies of the performance of the 3 most commonly studied bipolar disorder screening measures have taken the wrong approach in deriving the cutoff score on the scale for the purpose of screening.

Factors associated with false positives in MDQ screening for bipolar disorder: Insight into the construct validity of the scale

BACKGROUND

Identifying bipolar patients in the first phases of the illness is essential to establish adequate treatment. The goal of this study was to examine the discriminant ability of the Mood Disorders Questionnaire (MDQ) in recognizing bipolar patients referred to a tertiary care structure.

METHODS

Between 2006 and 2012, we assessed 843 individuals referred to the Mood Disorders Program by family physicians in the community. The Structured Clinical Interview for DSM-IV-TR (SCID) was used to assess diagnoses. A nurse collected the information about lifetime symptoms of (hypo)mania in 759 individuals using the MDQ. Univariate chi-square test and logistic regression were used for the statistical analysis.

RESULTS

Overall, 86% of the sample had a current anxiety or depressive disorder. When compared to the diagnoses formulated through the SCID, the sensitivity of the MDQ was 75.0%, the specificity was 74%, the positive predictive value was 55%, and the negative predictive value was 88%. Among non-bipolar patients, current post-traumatic stress disorder, borderline personality disorder, current or early remission substance use disorder, and the history of childhood abuse were independently associated with false positive screening using the MDQ.

LIMITATIONS

Individuals with current substance use disorders were under-represented, whether or not the patients were aware of their diagnosis of bipolar disorder was not recorded, and the history of childhood abuse was collected based on an open interview.

CONCLUSIONS

The self-rated measure of the symptoms listed by the MDQ seems to measure a dimension shared by both bipolar disorder and other conditions characterized by affective instability and impulsivity.

The Compelling and Persistent Problem of Bipolar Disorder Disguised as Major Depression Disorder: An Integrative Review [Formula: see text]

BACKGROUND

Up to 40% of patients with bipolar disorder are misdiagnosed, usually with major depression disorder.

OBJECTIVE

The purpose was to describe the current state of the science of the misdiagnosis of bipolar disorder, with the ultimate goal of improving psychiatric diagnostic workups including screening.

DESIGN

An integrative review was conducted using standard criteria for evaluating research articles.

RESULTS

Forty-nine articles met the eligibility criteria. Articles explored patient-related and health care provider-related factors contributing to the misdiagnosis of bipolar disorder as well as consequences of misdiagnosis. Clinically oriented, reliable, and valid screening tools for bipolar disorder also were reviewed.

CONCLUSIONS

Awareness of multiple, challenging patient-related factors and more comprehensive assessment and screening by health care providers may reduce misdiagnosis.

Hypomania Symptoms Across Psychiatric Disorders: Screening Use of the Hypomania Check-List 32 at Admission to an Outpatient Psychiatry Clinic

Introduction: Hypomania symptoms are best described as a continuum, ranging beyond Bipolar Spectrum Disorders (BSD). Other nosological entities, such as major depressive disorder, schizoaffective disorder, or borderline personality disorder, may also share symptoms with BSD, raising challenges for differential diagnosis. While the Hypomania Checklist-32 is one of the most widely used tools for screening hypomania, there is limited evidence describing its use in a real-world outpatient psychiatric clinical setting. Methods: Here we tested the psychometric properties of a European Portuguese adaptation of the HCL-32, establishing its factor structure, reliability and construct validity. Furthermore, we analyzed differences in hypomanic symptoms among several clinical groups and in a non-clinical sample. Data was obtained retrospectively in an ecological setting from a clinical sample of an outpatient psychiatry and psychology clinic, comprising 463 Portuguese individuals, 326 of whom had a psychiatric diagnosis, namely BSD (n = 66), major depressive disorder (n = 116), or other psychiatric disorders (n = 144). A separate non-clinical sample was also collected among healthy volunteers (n = 62). A battery of self-report measures of affective symptoms was applied, and in a subset of patients, diagnosis was established using a structured diagnostic interview. Results: Psychometric properties of the HCL-32 were adequate, with good internal consistency (Cronbach's α = 0.86) and test-retest stability (ICC = 0.86), and two subscores ("active/elated" and "risk-taking/irritable") defined by Principal Component Analysis. Receiver Operating Characteristic curve analysis demonstrated that the test score discriminated moderately between patients with BSD and other clinical samples as well as healthy volunteers, with a cut-off score of 17 for the total score of the HCL-32 rendering the best combination of sensitivity and specificity. When compared to the HCL-32 total score, the risk-taking/irritable subscore seems to provide additional benefit in discriminating between different clinical groups, namely regarding specificity in the discrimination from patients with a diagnosis of major depressive disorder that was low for the full scale and the alternate subscale. Conclusions: HCL-32 can be used as a screening tool for BSD among adult patients presenting in an outpatient psychiatric clinical setting.

Hypomania Checklist-32 - cross-validation of shorter versions screening for bipolar disorders in an epidemiological study

OBJECTIVE

Self-reports such as Hypomania Checklist (HCL-32) can be used to enhance recognition of bipolar disorders, but they are often too long and only validated in clinical samples. The objectives of this study are therefore to test whether (i) the HCL-32 can be used for screening in the community and (ii) whether two previously suggested shorter versions would do as well.

METHOD

Data stemmed from the CoLaus|PsyColaus, a prospective cohort study which included randomly selected residents aged 35-66 years from an urban area. Participants underwent semistructured interviews to assess DSM-IV disorders and 1712 of them completed the HCL-32.

RESULTS

Forty individuals (2.3%) were diagnosed as having BD. Compared to others, participants with BD scored significantly higher on the HCL-32. The HCL-32 had a sensitivity of 0.78 and specificity of 0.68. Very similar figures were found for two previously proposed shorter versions with 16 and 20 items. The results of confirmatory factor analysis and item response theory (IRT) models supported the postulated two-factor structure for the three HCL versions.

CONCLUSION

Despite the low base rate of BD in this sample, the screening properties of the HCL-32 remained almost as good. Importantly, two previously proposed shorter versions performed as well, suggesting that those could be used without losing essential information.

Comparison of the 32-item Hypomania Checklist, the 33-item Hypomania Checklist, and the Mood Disorders Questionnaire for bipolar disorder

AIM

Bipolar disorder (BD) is frequently misdiagnosed as major depressive disorder (MDD) and hence reliable and culturally appropriate screening tools are needed. This study compared the 32-item Hypomania Checklist (HCL-32), the 33-item Hypomania Checklist (HCL-33), and the Mood Disorders Questionnaire (MDQ) for BD.

METHODS

Altogether, 350 depressed patients were included. The HCL-32, HCL-33, and MDQ were completed by patients to identify manic and/or hypomanic symptoms. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and area under the curve among the HCL-32, HCL-33, and MDQ for BD and MDD were calculated and compared, using cut-offs suggested by respective validation studies.

RESULTS

Of the three scales, the MDQ had the highest sensitivity and NPV (sensitivity = 0.90, 0.81, and 0.90 for BD vs MDD, BD-I vs MDD, and BD-II vs MDD, respectively; NPV = 0.78, 0.86, and 0.86 for BD vs MDD, BD-I vs MDD, and BD-II vs MDD, respectively), while the HCL-33 had the highest specificity and PPV (specificity = 0.74, 0.69, and 0.66 for BD vs MDD, BD-I vs MDD, and BD-II vs MDD, respectively; PPV = 0.74, 0.55, and 0.56 for BD vs MDD, BD-I vs MDD, and BD-II vs MDD, respectively).

CONCLUSION

Compared to both HCL scales, the MDQ had higher sensitivity and lower specificity in screening for BD. These results contradict previous findings in Western populations. As a screening instrument for BD in Chinese clinical settings, the MDQ appears to be appropriate.

Bipolar risk and mental imagery susceptibility in a representative sample of Chinese adults residing in the community

BACKGROUND

We need to better understand the cognitive factors associated with risk for bipolar disorders. Recent research suggests that increased susceptibility to mental imagery may be one such factor. However, since this research was primarily conducted with Western students and at a single time-point, it is not known whether the relationship between imagery susceptibility and bipolar symptoms exists across cultures or within the general community, or whether this relationship remains stable over time.

AIM

This study evaluated whether Chinese adults identified as being at high (HR) versus low (LR) risk of developing bipolar disorders showed greater mental imagery susceptibility. We aimed to test whether such a relationship was stable over time by measuring imagery characteristics at baseline and at the 7-week follow-up.

METHOD

This prospective study recruited a community sample of N = 80 Chinese adults screened for the absence of neurotic and psychotic disorders. The sample was split into HR (n = 18) and LR (n = 62) groups at baseline based on a criterion cut-off score on a measure of hypomania, the Mood Disorder Questionnaire (MDQ). Participants completed measures of imagery susceptibility and its impact: the Spontaneous Use of Imagery Scale (SUIS) and the Impact of Future Events Scale (IFES), at baseline and 7 weeks later.

RESULTS

HR group reported greater tendency to use imagery in daily life (SUIS) and greater emotional impact of prospective imagery (IFES) than LR group at baseline. These results remained stable at follow-up.

CONCLUSION

This study provides preliminary evidence for increased susceptibility to mental imagery in individuals at high risk of bipolar disorders recruited from a community sample of Chinese adults. This extends previous research in Western student samples suggesting that imagery (both levels of use and its emotional impact) may be a cognitive factor with cross-cultural relevance that is stable over time.

Comparison of scoring methods for the Brief Insomnia Questionnaire in a general population sample

OBJECTIVE

The Brief Insomnia Questionnaire (BIQ) is a lay-administered, structured interview to derive insomnia disorders according to the Diagnostic and Statistical Manual, Fourth Edition, Text Revision (DSM-IV-TR), International Classification of Diseases, Tenth Edition (ICD-10) and research diagnostic criteria/International Classification of Sleep Disorders, Second Edition (RDC/ICSD-2). The concordance between diagnoses derived from the BIQ and clinical interviews was only moderate and the prevalence estimates based on the BIQ were significantly different from estimates based on clinical interviews. We hypothesized that a modification of the scoring algorithm closer to the diagnostic criteria would improve the performance of the BIQ.

METHODS

Probability subsample of population-based epidemiological survey respondents (n=2011) completed clinical reappraisal (n=176) interviews. We compared the modified scoring with the original scoring in sensitivity, specificity, positive and negative predictive values, areas under the characteristic curve, and Cohen's kappa to detect DSM-IV-TR, ICD-10 and RDC/ICSD-2 insomnia diagnoses by the BIQ against clinical interviews.

RESULT

The diagnostic accuracy was improved with the modified scoring. The areas under the receiver operating characteristic curve for the DSM-IV-TR, ICD-10, RDC/ICSD-2 and any of the insomnia diagnoses ranged from 0.76 to 0.87. Using the modified scoring, there was no significant difference between prevalence estimates based on the BIQ classification and clinical interviews.

CONCLUSIONS

The BIQ with modified scoring enhanced case detection and produced more accurate prevalence estimates of DSM-IV-TR, ICD-10 and RDC/ICSD-2 insomnia disorders. With scoring algorithms now extended to DSM-5 and ICSD-3 diagnoses, the BIQ should be more widely used in clinical and research settings.

The Hypomania Checklist (HCL) - systematic review of its properties to screen for bipolar disorders

OBJECTIVE

Bipolar disorders (BDs) are often not recognised with potentially drastic consequences for the individuals and their families. In clinical practice self-reports can be used to screen to enhance recognition. We therefore present a systematic review of the screening properties for the Hypomania Checklist (HCL-32).

METHODS

A systematic literature search was conducted to identify all relevant studies looking at the screening properties of the HCL-32 in adults.

RESULTS

Out of 196 papers 21 papers reported data on 22 independent samples. We narratively reviewed these studies. Weighted estimated Sensitivity was 80% regardless of whether a BD diagnosis was compared to unipolar depression or any other non-bipolar diagnosis. Specificity indicated that the HCL-32 was better when comparing BD to unipolar depression (65.3%) than to any other diagnostic category (57.3%). Fewer studies provided estimates for predictive powers, leading to less reliable overall estimates for these indicators.

CONCLUSIONS

Despite some limitations, using the HCL-32 as a first screening in patients seeking help for depression can be recommended, but should never be used on its own for diagnosing. Future research should examine whether screening properties can be improved by developing an algorithm incorporating the negative consequences reported for different areas in the HCL-32.

Bipolar II disorder in patients with a current diagnosis of recurrent depression

OBJECTIVES

The prevalence of bipolar II disorder (BD-II) in Russia has never been studied. Therefore, we sought to identify patients meeting diagnostic criteria for BD-II among patients with a current diagnosis of recurrent depressive disorder (RDD) through the use of the Russian versions of the Hypomania Checklist (HCL-32) and Bipolarity Index scales for differentiating between BD-II and RDD.

METHODS

In a non-interventional diagnostic study, we selected 409 patients aged between 18 and 65 years from two medical settings with (i) a current diagnosis of RDD, (ii) an illness duration of at least three years, and (iii) at least two affective episodes. The diagnosis was based on clinical assessment and confirmed by the Russian version of the Mini International Neuropsychiatric Interview. All patients were assessed by the HCL-32, the Bipolarity Index, and the Personal and Social Performance Scale.

RESULTS

Among patients with a current diagnosis of RDD, 40.8% had a diagnosis of bipolar disorder (bipolar I disorder: 4.9%; BD-II: 35.9%). The average time lag from onset to a correct diagnosis of BD-II was 15 years and patients were treated only with antidepressants. The sensitivity of the Russian version of the HCL-32 at the optimal cutoff point (≥14.0) was 83.7%, and its specificity was 71.9%. The Bipolarity Index showed significant differences between the total scores of the patients with BD-II and RDD (31.8 versus 20.2; p < 0.0001). The optimal threshold was ≥22.0 (sensitivity 73.5%; specificity 72.3%).

CONCLUSIONS

In Russia, diagnostic errors are an important cause of the non-detection of bipolar disorder, particularly BD-II. The Russian version of the HCL-32 and the Bipolarity Index, as additional tools, could be useful for bipolarity screening.

Validation of the Russian version of the Hypomania Checklist (HCL-32) for the detection of Bipolar II disorder in patients with a current diagnosis of recurrent depression

BACKGROUND

There are no validated screening tools for Bipolar Disorder (BD) in Russia.

OBJECTIVE

To validate the Russian version of the HCL-32 for the detection of Bipolar II disorder (BD II) in patients with Recurrent Depressive Disorder (RDD).

METHODS

409 patients with a current diagnosis of RDD were recruited. The diagnosis was confirmed by the validated Russian version of the Mini International Neuropsychiatric Interview (MINI). Another investigator interviewed the patients using the НСL-32 questions.

RESULTS

The total HCL-32 score in patients with BD II was significantly higher than in patients with RDD: 18.2 (4.22) versus 10.85 (5.81) (p<0.001, d=1447). At the cut-off 14 points the sensitivity was 83.7%, specificity 71.9% (p<0.001). The Cronbach's alpha was 0.887 that means good internal consistency. The best discrimination was achieved with 8 items: decreased need for sleep, less shyness or inhibition, talkativeness, more jokes and puns, jumping thoughts distractibility, exhausting or irritating others and high and more optimistic mood. We proposed the reduced variant of the scale, that includes only these 8 variables, with sensitivity 90.5%, specificity 69.8% (AUC=0.88).

CONCLUSIONS

The Russian version of the HCL-32 displayed a good ratio of sensitivity to specificity and can be recommended as a validated screening instrument. An 8-item version of HCL needs further research.

LIMITATIONS

Limitations include the specific nature of the sample, the HCL-32 assessment carried out by a psychiatrist, no comparison with other BD screening scales. The results of the 8-item version may be sample and culture dependent.

Affective temperaments are associated with specific clusters of symptoms and psychopathology: a cross-sectional study on bipolar disorder inpatients in acute manic, mixed, or depressive relapse

BACKGROUND

The aim of this study was to assess whether different affective temperaments could be related to a specific mood disorder diagnosis and/or to different therapeutic choices in inpatients admitted for an acute relapse of their primary mood disorder.

METHOD

Hundred and twenty-nine inpatients were consecutively assessed by means of the Structured and Clinical Interview for axis-I disorders/Patient edition and by the Temperament Evaluation of Memphis, Pisa, Paris, and San Diego auto-questionnaire, Young Mania Rating Scale, Hamilton Scale for Depression and for Anxiety, Brief Psychiatry Rating Scale, Clinical Global impression, Drug Attitude Inventory, Barratt Impulsiveness Scale, Toronto Alexithymia Scale, and Symptoms Checklist-90 items version, along with records of clinical and demographic data.

RESULTS

The following prevalence rates for axis-I mood diagnoses were detected: bipolar disorder type I (BD-I, 28%), type II (31%), type not otherwise specified (BD-NOS, 33%), major depressive disorder (4%), and schizoaffective disorder (4%). Mean scores on the hyperthymic temperament scale were significantly higher in BD-I and BD-NOS, and in mixed and manic acute states. Hyperthymic temperament was significantly more frequent in BD-I and BD-NOS patients, whereas depressive temperament in BD-II ones. Hyperthymic and irritable temperaments were found more frequently in mixed episodes, while patients with depressive and mixed episodes more frequently exhibited anxious and depressive temperaments. Affective temperaments were associated with specific symptom and psychopathology clusters, with an orthogonal subdivision between hyperthymic temperament and anxious/cyclothymic/depressive/irritable temperaments. Therapeutic choices were often poorly differentiated among temperaments and mood states.

LIMITS

Cross-sectional design; sample size.

CONCLUSIONS

Although replication studies are needed, current results suggest that temperament-specific clusters of symptoms severity and psychopathology domains could be described.

Screening for Bipolar Disorder Symptoms in Depressed Primary Care Attenders: Comparison between Mood Disorder Questionnaire and Hypomania Checklist (HCL-32)

Objective. To describe the prevalence of patients who screen positive for bipolar disorder (BD) symptoms in primary care comparing two screening instruments: Mood Disorders Questionnaire (MDQ) and Hypomania Checklist (HCL-32). Participants. Adult patients presenting to their primary care practitioners for any cause and reporting current depression symptoms or a depressive episode in the last 6 months. Methods. Subjects completed MDQ and HCL-32, and clinical diagnosis was assessed by a psychiatrist following DSM-IV criteria. Depressive symptoms were evaluated in a subgroup with the Patient Health Questionnaire (PHQ-9). Results. A total of 94 patients were approached to participate and 93 completed the survey. Among these, 8.9% screened positive with MDQ and 43.0% with HCL-32. MDQ positive had more likely features associated with BD: panic disorder and smoking habit (P < .05). The best test accuracy was performed by cut-off 5 for MDQ (sensitivity = .91; specificity = .67) and 15 for HCL-32 (sensitivity = .64; specificity = .57). Higher total score of PHQ-9 was related to higher total scores at the screening tests (P < .001). Conclusion. There is a significant prevalence of bipolar symptoms in primary care depressed patients. MDQ seems to have better accuracy and feasibility than HCL-32, features that fit well in the busy setting of primary care.

Mania: diagnosis and treatment recommendations

This article provides recommendations for the diagnosis and treatment of mania, which characterizes bipolar I disorder (BD I). Failure to detect mania leads to misdiagnosis and suboptimal treatment. To diagnose mania, clinicians should include a detailed mood history within their assessment of patients presenting with depression, agitation, psychosis or insomnia. With regards to treatment, by synthesizing the findings from recent treatment guidelines, and reviewing relevant literature, this paper has distilled recommendations for both acute and long-term management. Antimanic agents including atypical antipsychotics and traditional mood stabilizers are employed to reduce acute manic symptoms, augmented by benzodiazepines if needed, and in refractory or severe cases with behavioural and/or psychotic disturbance, electroconvulsive therapy may occasionally be necessary. Maintenance/prophylaxis therapy aims to reduce recurrences/relapse, for which the combination of psychological interventions with pharmacotherapy is beneficial as it ensures adherence and monitoring of tolerability.

Validation of the Chinese version of the "Mood Disorder Questionnaire" for screening bipolar disorder among patients with a current depressive episode

BACKGROUND

The Mood Disorder Questionnaire (MDQ) is a well-recognized screening tool for bipolar disorder, but its Chinese version needs further validation. This study aims to measure the accuracy of the Chinese version of the MDQ as a screening instrument for bipolar disorder (BPD) in a group of patients with a current major depressive episode.

METHODS

142 consecutive patients with an initial DSM-IV-TR diagnosis of a major depressive episode were screened for BPD using the Chinese translation of the MDQ and followed up for one year. The final diagnosis, determined by a special committee consisting of three trained senior psychiatrists, was used as a 'gold standard' and ROC was plotted to evaluate the performance of the MDQ. The optimal cut-off was chosen by maximizing the Younden's index.

RESULTS

Of the 142 patients, 122 (85.9%) finished the one year follow-up. On the basis of a semi-structured clinical interview 48.4% (59/122) received a diagnosis of unipolar depression (UPD), 36.9% (45/122) BPDII and 14.8% (18/122) BPDI. At the end of the one year follow-up,9 moved from UPD to BPD, 2 from BPDII to UPD, 1 from BPDII to BPDI, the overall rate of initial misdiagnosis was 16.4%. MDQ showed a good accuracy for BPD: the optimal cut-off was 4, with a sensitivity of 0.72 and a specificity of 0.73. When BPDII and BPDI were calculated independently, the optimal cut-off for BPDII was 4, with a sensitivity of 0.70 and a specificity of 0.73; while the optimal cut-off for BPDI was 5, with a sensitivity of 0.67 and a specificity of 0.86.

CONCLUSIONS

Our results show that the Chinese version of MDQ is a valid tool for screening BPD in a group of patients with current depressive episode on the Chinese mainland.