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Background Little is known about the demographic and clinical differences between early- and late-onset depressions (EOD and LOD, respectively) in Chinese patients. This study examined the demographic and clinical profile of EOD (<=25 years) compared to LOD (>25 years) in China. Methods A consecutively recruited sample of 1178 patients with MDD was assessed in 13 psychiatric hospitals or psychiatric units of general hospitals in China nationwide. The cross-sectional data of patients׳ demographic and clinical characteristics and prescriptions of psychotropic drugs including antidepressants, mood stabilizers, antipsychotics and benzodiazepines were recorded using a standardized protocol and data collection procedure. Results Two hundred and seventy five (23.3%) of the 1178 patients fulfilled criteria for EOD. In multiple logistic regression analyses, compared to LOD patients their EOD counterparts were more likely to be unmarried and unemployed, had more atypical and psychotic depressive episodes, had bipolar features, while they had more lifetime depressive episodes. Conclusions The demographic and more severe clinical features of EOD in Chinese patients were basically consistent with those found in Western populations. The association between socio-cultural factors and development of EOD warrants further studies. [ABSTRACT FROM AUTHOR]

Abstract: Background: The 16-item Quick Inventory of Depressive Symptomatology-Self-Report (QIDS-SR) is a newly introduced screening tool, while the Montgomery–Asberg Scale (MADRS) is commonly used in research and clinical practice in China. Converting the total scores between the two instruments could facilitate the comparison of different studies. Methods: This study included 1164 patients with major depressive disorder (MDD). The diagnosis was established using the Mini International Neuropsychiatric Interview (MINI). The severity of depressive symptoms was assessed with the Chinese versions of MADRS (C-MADRS) and QIDS-SR (C-QIDS-SR) at baseline and 6 weeks later (exit point). Total scores of both scales were converted using Item Response Theory (IRT) analysis. Results: At baseline, the C-MADRS and C-QIDS-SR were not unifactorial, therefore the conversion between them could not be performed. At exit, the C-MADRS and C-QIDS-SR were unifactorial, meeting the unidimensionality assumption of the IRT approach. Depression severity thresholds for the QIDS-SR are suggested as 6–10 for mild, 11–15 for moderate, 16–20 for severe, 21+ for very severe depression and ≤5 for remission (www.ids-qids.org). Based on the results of this study, the corresponding C-MADRS thresholds are 9–17 for mild, 18–24 for moderate, 25–33 for severe, 34+ for very severe depression and ≤7 or 8 (7.5) for remission. Conclusions: The conversion of C-QIDS-SR and C-MADRS total scores would help researchers understand findings across different studies using these scales. [Copyright &y& Elsevier]

Abstract: Background: Developing accurate and time-efficient tools to measure depressive symptoms is important for research and clinical practice. This study aimed to test the psychometric properties of the Chinese version of the 16-item Quick Inventory of Depressive Symptomatology – Clinician Rating (C-QIDS-C) and Self-Report (C-QIDS-SR). Methods: This study included 998 patients with major depressive disorder (MDD) established using the Mini International Neuropsychiatric Interview (MINI). The severity of depressive symptoms was assessed using the Hamilton Rating Scale for Depression (HAMD), C-QIDS-C and C-QIDS-SR at baseline and 6 weeks later. Results: Internal consistency (Cronbach’s alpha) ranged from 0.73 to 0.82 for C-QIDS-C and C-QIDS-SR at both the baseline and exit. The involvement and energy domains at baseline, and sad mood, concentration/decision making, self outlook, involvement and agitation/retardation domains at exit had the highest item-total correlations across the two C-QIDS scales. The C-QIDS-C and C-QIDS-SR total scores were highly correlated with the HAMD total score at both baseline (r=0.61, p<0.01 and r=0.54, p<0.01, respectively) and exit (r=0.75, p<0.01 and r=0.72, p<0.01, respectively). The C-QIDS-C, C-QIDS-SR and HAMD were equally sensitive to change of depressive symptoms, suggesting high concurrent validity. The C-QIDS-C and C-QIDS-SR showed uni-dimensional measurement properties in exploratory factor analyses at both baseline and exit. Conclusions: The C-QIDS-C and C-QIDS-SR have excellent psychometric properties and are sensitive measurement of symptom severity in MDD. [Copyright &y& Elsevier]

Abstract: Background: Bipolar disorder (BD) is often misdiagnosed as a major depressive disorder (MDD). This study aimed to test the usefulness of the screening tool, the Mood Disorders Questionnaire (MDQ), to identify BD patients misdiagnosed as MDD in Chinese clinical settings. Methods: A total of 1487 patients treated for MDD were consecutively examined in 13 mental health centers in China. The patients’ socio-demographic and clinical characteristics were recorded using a standardized protocol and data collection procedure. The MDQ was completed by patients to identify symptoms characteristic of BD. DSM-IV diagnoses were established using the Mini International Neuropsychiatric Interview (MINI). Results: Three hundred-nine of the 1487 patients (20.8%) satisfied DSM-IV criteria for BD; 118 (7.9%) for BD-I and 191 (12.8%) for BD-II on the MINI. The optimal cut-off point on the MDQ to differentiate BD from MDD was 3, while cut-off points of 5 and 3 differentiated BD-I and BD-II from MDD, respectively. The maximum sensitivity was 0.31, 0.45 and 0.22 for differentiating BD, BD-I and BD-II from MDD, respectively. Conclusions: The optimal cutoff points of the MDQ for screening BD in Chinese patients originally diagnosed as MDD were considerably lower than those in earlier studies. The routine clinical use of the MDQ as a screening scale for BD in Chinese patients treated for MDD does not seem to be justified. [Copyright &y& Elsevier]

Abstract: Background: Bipolar disorder (BD) is a recurrent, complex illness and often misdiagnosed and treated as a major depressive disorder (MDD). This study set out (1) to investigate the proportion of BD in patients treated for MDD using DSM-IV diagnostic criteria; (2) to test the usefulness of the screening tool — the 32-item Hypomania Checklist (HCL-32) in Chinese patients; and (3) to assess whether MDD patients with subthreshold manic features (patients who screened positive for BD on the HCL-32, but did not meet the diagnostic criteria for DSM-IV BD as measured by Mini International Neuropsychiatric Interview (MINI)) differ from those with BD, and from those suffering from MDD without manic features in terms of basic demographic and clinical variables. Methods: A total of 1487 patients treated for MDD were consecutively examined in 13 mental health centers in China. The patients'' socio-demographic and clinical characteristics were recorded using a standardized protocol and data collection procedure. The HCL-32 was self-completed by patients to identify hypomanic symptoms, and the MINI was used by clinicians to establish DSM-IV diagnoses. Results: The proportions of undiagnosed BD (all types), BD-I and BD-II were 20.8%, 7.9% and 12.8%, respectively. The HCL-32 had low positive predictive value (0.43). Compared to MDD patients without subthreshold manic features, MDD patients with subthreshold manic features were younger at onset, less likely to be married and had more depressive episodes on a seasonal basis, and more frequent depressive episodes overall. Compared to BD patients, MDD patients with subthreshold manic features had an older age at onset and less frequent depressive episodes and less family history of psychiatric disorders, appetite, weight gain and time spent sleeping, suicide ideation and attempts and psychotic symptoms. Conclusions: At least one fifth of Chinese patients treated for MDD may have an undiagnosed BD. The HCL-32 is useful to identify broader subthreshold bipolar features. The findings need to be confirmed by longitudinal studies using more comprehensive, standardized instruments. [Copyright &y& Elsevier]