Curcumin, an active ingredient of Curcuma longa Linn (Zingiberaceae), has shown potential antidepressant-like activity in animal studies. The objectives of this trial were to compare the efficacy and safety of curcumin with fluoxetine in patients with major depressive disorder (MDD). Herein, 60 patients diagnosed with MDD were randomized in a 1:1:1 ratio for six weeks observer-masked treatment with fluoxetine (20 mg) and curcumin (1000 mg) individually or their combination. The primary efficacy variable was response rates according to Hamilton Depression Rating Scale, 17-item version (HAM-D17 ). The secondary efficacy variable was the mean change in HAM-D17 score after six weeks. We observed that curcumin was well tolerated by all the patients. The proportion of responders as measured by the HAM-D17 scale was higher in the combination group (77.8%) than in the fluoxetine (64.7%) and the curcumin (62.5%) groups; however, these data were not statistically significant (P = 0.58). Interestingly, the mean change in HAM-D17 score at the end of six weeks was comparable in all three groups (P = 0.77). This study provides first clinical evidence that curcumin may be used as an effective and safe modality for treatment in patients with MDD without concurrent suicidal ideation or other psychotic disorders. .
Background:Premenstrual dysphoric disorder (PMDD) is a severe form of premenstrual syndrome (PMS) characterized by mood changes, anxiety, and somatic symptoms experienced during the specific time of menstrual cycle. Prevalence data of PMS and PMDD is sparse among college girls in India.Aims:The aim of this study is to study the prevalence of PMS and PMDD among college students of Bhavnagar (Gujarat), its associated demographic and menstrual factors, to rank common symptoms and compare premenstrual symptom screening tool (PSST) with Structured Clinical Interview for DSM-IV-TR defined PMDD (SCID-PMDD) for sensitivity and specificity.Materials and Methods:A cross-sectional survey was done in five colleges of Bhavnagar. Of 529 subjects approached, 489 college girls were finally analyzed for sociodemographic data, menstrual history, and PSST. SCID-PMDD was applied among those who were positive on PSST and 20% of those who were negative. The data were analyzed using OpenEpi Version 2. Chi-square test was done for qualitative variables and analysis of variance for quantitative variables. Sensitivity, specificity, and predictive values were calculated for PSST.Results:The prevalence of PMS was 18.4%. Moderate to severe PMS was 14.7% and PMDD was 3.7% according to DSM IV-TR and 91% according to International Classification of Diseases, 10th edition criteria. The symptoms commonly reported were “fatigue/lack of energy,” “decrease interest in work,” and “anger/irritability.” The most common functional impairment item was “school/work efficiency and productivity.” PSST has 90.9% sensitivity, 57.01% specificity, and 97.01% predictive value of negative test.Conclusion:Prevalence of PMS among college students is similar to other studies from Asia. PSST is a useful screening tool for PMS, and it should be confirmed by more specific tool as by SCID-PMDD. Routine screening with PSST can identify college girls who can improve with treatment.
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