Minocycline as adjunctive treatment for major depressive disorder: Pooled data from two randomized controlled trials.

BACKGROUND: Randomized controlled clinical trials that have investigated minocycline as an adjunctive treatment for major depressive disorder have proved promising. Data from two studies were pooled to evaluate more definitively whether the addition of minocycline to standard treatment for major depressive disorder leads to an improvement of depressive symptoms when compared with placebo. METHODS: Both studies were multi-site, double-blinded, placebo-controlled trials of minocycline 200 mg/day added to treatment as usual during a 12-week period. The primary outcome measure was change in depressive symptoms (Montgomery-Asberg Depression Rating Scale in Dean et al. and Hamilton Depression Rating Scale in Husain et al.). Secondary outcomes were change in depression severity (Montgomery-Asberg Depression Rating Scale for Dean et al. and 9-item Patient Health Questionnaire in Husain et al.), anxiety severity (Hamilton Anxiety Rating Scale in Dean et al. and Generalized Anxiety Disorder 7-item scale in Husain et al.) and functional status, which were also evaluated as potential mediators on the primary outcome. RESULTS: A total of 112 participants were included in the pooled data (Dean et al., n = 71; Husain et al., n = 41). A significant change from baseline to week 12 was noted in depressive symptoms - differential change (Placebo vs Minocycline): 9.0, 95% confidence interval = [4.2, 13.9], Cohen's D (95% confidence interval): 0.71 [0.29, 1.14], p < 0.001 - anxiety severity - differential change (Placebo vs Minocycline): 0.38, confidence interval = [0.00, 0.75], Cohen's D (95% confidence interval): 0.41 [0.00, 0.82], p = 0.050) and functional status - differential change (Placebo vs Minocycline): 1.0, 95% confidence interval = [0.4, 1.5], Cohen's D (95% confidence interval): 0.76 [0.34, 1.19], p = 0.001). Duration of illness, current use of benzodiazepine and pain medication were identified as moderators, whereas functional status as a mediator/predictor. CONCLUSION: The improvement of depressive symptoms, anxiety severity and functional status is promising and suggests that minocycline has potential as an adjunctive treatment for major depressive disorder. However, further studies are warranted to confirm therapeutic effects of minocycline in major depressive disorder. TRIAL REGISTRATIONS: NCT02263872, registered October 2014, and ACTRN12612000283875, registered March 2012.

Personality disorder and functioning in major depressive disorder: a nested study within a randomized controlled trial

Objective: This study aimed to determine if personality disorder (PD) predicted functional outcomes in patients with major depressive disorder (MDD). Methods: Data (n=71) from a double-blind, randomized, placebo-controlled 12-week trial assessing the efficacy of 200 mg/day adjunctive minocycline for MDD were examined. PD was measured using the Standardized Assessment of Personality Abbreviated Scale. Outcome measures included Clinical Global Impression - Improvement (CGI-I), Quality of Life Enjoyment and Satisfaction Questionnaire (Q-LES-Q), Social and Occupational Functioning Scale (SOFAS), and Range of Impaired Functioning (RIFT). Analysis of covariance was used to examine the impact of PD (dichotomized factor [≥ 3] or continuous measure) on the outcome measures-treatment group correlation. Results: PD was identified in 69% of the sample. After adjusting for age, sex, and baseline scores for each of the outcome measures, there was no significant difference between participants with and without PD on week 12 scores for any of the outcome measures (all p > 0.14). Conclusion: In this secondary analysis of a primary efficacy study, PD was a common comorbidity among those with MDD, but was not a significant predictor of functional outcomes. This study adds to the limited literature on PD in randomized controlled trials for MDD. Clinical trial registration: ACTRN12612000283875.

Personality disorder and functioning in major depressive disorder: a nested study within a randomized controlled trial.

OBJECTIVE: This study aimed to determine if personality disorder (PD) predicted functional outcomes in patients with major depressive disorder (MDD). METHODS: Data (n=71) from a double-blind, randomized, placebo-controlled 12-week trial assessing the efficacy of 200 mg/day adjunctive minocycline for MDD were examined. PD was measured using the Standardized Assessment of Personality Abbreviated Scale. Outcome measures included Clinical Global Impression - Improvement (CGI-I), Quality of Life Enjoyment and Satisfaction Questionnaire (Q-LES-Q), Social and Occupational Functioning Scale (SOFAS), and Range of Impaired Functioning (RIFT). Analysis of covariance was used to examine the impact of PD (dichotomized factor [≥ 3] or continuous measure) on the outcome measures-treatment group correlation. RESULTS: PD was identified in 69% of the sample. After adjusting for age, sex, and baseline scores for each of the outcome measures, there was no significant difference between participants with and without PD on week 12 scores for any of the outcome measures (all p > 0.14). CONCLUSION: In this secondary analysis of a primary efficacy study, PD was a common comorbidity among those with MDD, but was not a significant predictor of functional outcomes. This study adds to the limited literature on PD in randomized controlled trials for MDD. CLINICAL TRIAL REGISTRATION: ACTRN12612000283875.

Mental health information online: what we have learned from social media metrics in BuzzFeed's Mental Health Week / Informações de saúde mental on-line: o que aprendemos com as métricas de mídias sociais na Semana de Saúde Mental do BuzzFeed

Abstract Introduction The Internet has seen rapid growth in the number of websites focusing on mental health content. Considering the increased need for access to accurate information about mental health treatment, it is important to understand the promotion of this information online. Objective To analyze BuzzFeed's Mental Health Week (BFMHW) interactions on its own website and in related social media platforms (Facebook, Twitter and YouTube) using metrics of information delivery in mental health topics. Methods We extracted social media metrics from the 20 posts with the highest number of BuzzFeed interactions on the BFMHW website and from 41 videos available on the BFMHW playlist created by the BuzzFeed Video profile on YouTube. We analyzed the format and content used in BuzzFeed's publishing methods as well as the following social media metrics: exposure (presence online, views and time online), influence (likes) and engagement (comments, shares, replies and BuzzFeed interactions). Results Analysis of the variables revealed that audience engagement is associated with the number of medias in which the content is published: views on YouTube and shares on Facebook (0.71, p<0.001), total interactions on Facebook (0.66, p<0.001) and BuzzFeed number of total interactions (0.56, p<0.001). Conclusions Our results suggest that videos on YouTube may be an important information channel, including activity and engagement on other medias such as Facebook. Information may be more effective in reaching the audience if it is delivered in more than one media and includes personal experiences, some humor in content and detailed information about treatment.

Resumo Introdução O número de sites com foco em conteúdo de saúde mental vem crescendo rapidamente. Considerando a necessidade crescente de acesso a informações precisas sobre tratamento em saúde mental, é importante entender a promoção dessas informações on-line. Objetivo Analisar as interações da Semana de Saúde Mental do BuzzFeed (BuzzFeed's Mental Health Week - BFMHW) em seu próprio site e em plataformas de mídia social relacionadas (Facebook, Twitter e YouTube) usando métricas de entrega de informações em tópicos de saúde mental. Métodos Extraímos métricas de mídias sociais das 20 postagens com o maior número de interações no site da BFMHW e de 41 vídeos disponíveis na playlist da BFMHW criada pelo perfil BuzzFeed Video no YouTube. Analisamos o formato e o conteúdo usados nos métodos de publicação do BuzzFeed, bem como as seguintes métricas de mídias sociais: exposição (presença on-line, visualizações e tempo on-line), influência (curtidas) e engajamento (comentários, compartilhamentos, respostas e interações do BuzzFeed). Resultados A análise das variáveis revelou que o envolvimento do público está associado ao número de mídias em que o conteúdo é publicado: visualizações no YouTube e compartilhamentos no Facebook (0,71, p <0,001), interações totais no Facebook (0,66, p <0,001) e número de interações totais no BuzzFeed (0,56, p <0,001). Conclusões Nossos resultados sugerem que o YouTube pode ser um importante canal de informações, incluindo atividades e envolvimento em outras mídias, como o Facebook. As informações podem alcançar o público de forma mais eficaz se forem exibidas em mais de uma mídia e incluírem experiências pessoais, algum humor no conteúdo e informações detalhadas sobre o tratamento.

Mental health information online: what we have learned from social media metrics in BuzzFeed's Mental Health Week.

INTRODUCTION: The Internet has seen rapid growth in the number of websites focusing on mental health content. Considering the increased need for access to accurate information about mental health treatment, it is important to understand the promotion of this information online. OBJECTIVE: To analyze BuzzFeed's Mental Health Week (BFMHW) interactions on its own website and in related social media platforms (Facebook, Twitter and YouTube) using metrics of information delivery in mental health topics. METHODS: We extracted social media metrics from the 20 posts with the highest number of BuzzFeed interactions on the BFMHW website and from 41 videos available on the BFMHW playlist created by the BuzzFeed Video profile on YouTube. We analyzed the format and content used in BuzzFeed's publishing methods as well as the following social media metrics: exposure (presence online, views and time online), influence (likes) and engagement (comments, shares, replies and BuzzFeed interactions). RESULTS: Analysis of the variables revealed that audience engagement is associated with the number of medias in which the content is published: views on YouTube and shares on Facebook (0.71, p<0.001), total interactions on Facebook (0.66, p<0.001) and BuzzFeed number of total interactions (0.56, p<0.001). CONCLUSIONS: Our results suggest that videos on YouTube may be an important information channel, including activity and engagement on other medias such as Facebook. Information may be more effective in reaching the audience if it is delivered in more than one media and includes personal experiences, some humor in content and detailed information about treatment.