Persons using the Internet to retrieve medical information generate large amounts of health-related data, which are increasingly used in modern health sciences. We analyzed the relation between annual prescription volumes (APVs) of several antidepressants with marketing approval in Germany and corresponding web search query data generated in Google to test whether web search query volume may be a proxy for medical prescription practice. We obtained APVs of several antidepressants related to corresponding prescriptions at the expense of the statutory health insurance in Germany from 2004 to 2013. Web search query data generated in Germany and related to defined search terms (active substance or brand name) were obtained with Google Trends. We calculated correlations (Person's r) between the APVs of each substance and the respective annual "search share" values; coefficients of determination (R) were computed to determine the amount of variability shared by the 2 variables. Significant and strong correlations between substance-specific APVs and corresponding annual query volumes were found for each substance during the observational interval: agomelatine (r = 0.968, R = 0.932, P = 0.01), bupropion (r = 0.962, R = 0.925, P = 0.01), citalopram (r = 0.970, R = 0.941, P = 0.01), escitalopram (r = 0.824, R = 0.682, P = 0.01), fluoxetine (r = 0.885, R = 0.783, P = 0.01), paroxetine (r = 0.801, R = 0.641, P = 0.01), and sertraline (r = 0.880, R = 0.689, P = 0.01). Although the used data did not allow to perform an analysis with a higher temporal resolution (quarters, months), our results suggest that web search query volume may be a proxy for corresponding prescription behavior. However, further studies analyzing other pharmacologic agents and prescription data that facilitate an increased temporal resolution are needed to confirm this hypothesis.

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Signal detectioning in 2 pharmacovigilance databases suggest that serotonin reuptake inhibition is not associated with an increased risk of bleeding. However, underreporting may have accounted for the evaluated absent associations, particularly concerning SSRI. Regarding the detected increased risk of bleeding associated with hypericum, pharmacokinetic drug-drug interactions may be relevant independent of serotonin reuptake inhibition.

Drug-induced liver injury is a major problem of pharmacotherapy and is also frequent with antidepressive psychopharmacotherapy. However, there are only few studies using a consistent methodologic approach to study hepatotoxicity of a larger group of antidepress ants. We performed a quantitative signal detection analysis using data from the Uppsala Monitoring Centre from the WHO that records adverse drug reaction (ADR) data from worldwide sources; we retrieved substance- and country-specific (Australia, France, Germany, Italy, Spain, the United Kingdom, and the United States) ADR data and calculated reporting odds ratios as measures for disproportionality within a case/noncase approach. To allow for identification of agents that cause severe forms of hepatotoxic ADRs, we used 2 terms of the MedDRA ("drug-related hepatic disorders-comprehensive search" [DRHD-CS] and "… -severe events only" [DRHD-SEO]). Distribution of signals was heterogeneous throughout the different data sets, and consistent findings were present for only a few substances: agomelatine (AGM) and tianeptine as well as both positive control agents (amineptine, nefazodone) generated signals related to DRHD-CS and DRHD-SEO in all analyzed data sets. Tri- and tetracyclic antidepressants (here amitriptyline, clomipramine, mianserin, mirtazapine, trimipramine) were associated with hepatotoxicity in several data sets. Using 2 MedDRA terms did not allow for detection of agents that cause severe hepatotoxic ADR. Our results support the findings of previous, primarily literature-based, systematic analyses of hepatotoxicity related to antidepressive psychopharmacotherapy. No new safety information could be generated. Application of 2 MedDRA terms did not increase the substance-specific safety information.

Since its marketing approval, the attention to the hepatic side-effect profile of the antidepressant agomelatine (AGM) has gradually increased. Several cases of severe hepatotoxic adverse drug reactions (ADR) have been reported and the European Medicines Agency has released a safety warning regarding AGM-associated hepatotoxicity. However, there are insufficient data for an adequate safety assessment of AGM-related hepatotoxicity. Therefore, we performed a quantitative signal detection analysis using pharmacovigilance data from the Uppsala Monitoring Centre from the WHO that records ADR data from worldwide sources; we calculated reporting odds ratios (ROR) as measures for disproportionality within a case/non-case approach for AGM and several other antidepressants. AGM was statistically associated with an increased risk of hepatotoxicity (ROR 6.4 [95%CI 5.7-7.2]) as well as both positive controls: amineptine (ROR 38.4 [95%CI 33.8-43.6]) and nefazodone (ROR 3.2 [95%CI 3.0-3.5]). Following amineptine, AGM was associated with the second highest ROR, followed by tianeptine (ROR 4.4 [95%CI 3.6-5.3]), mianserin (ROR 3.6 [95%CI 3.3-3.9]), and nefazodone. These results support the hypothesis that AGM is associated with relevant hepatotoxicity. However, the used data and applied method do not allow a quantitative evaluation of hepatotoxicity or assessment of substance-specific differences regarding the extent of hepatotoxicity.