Evaluation of a pharmacist intervention on patients initiating pharmacological treatment for depression: a randomized controlled superiority trial

Major depression is associated with high burden, disability and costs. Non-adherence limits the effectiveness of antidepressants. Community pharmacists (CP) are in a privileged position to help patients cope with antidepressant treatment. The aim of the study was to evaluate the impact of a CP intervention on primary care patients who had initiated antidepressant treatment. Newly diagnosed primary care patients were randomised to usual care (UC) (92) or pharmacist intervention (87). Patients were followed up at 6 months and evaluated three times (Baseline, and at 3 and 6 months). Outcome measurements included clinical severity of depression (PHQ-9), health-related quality of life (HRQOL) (Euroqol-5D) and satisfaction with pharmacy care. Adherence was continuously registered from the computerised pharmacy records. Non-adherence was defined as refilling less than 80% of doses or having a medication-free gap of more than 1 month. Patients in the intervention group were more likely to remain adherent at 3 and 6 months follow-up but the difference was not statistically significant. Patients in the intervention group showed greater statistically significant improvement in HRQOL compared with UC patients both in the main analysis and PP analyses. No statistically significant differences were observed in clinical symptoms or satisfaction with the pharmacy service. The results of our study indicate that a brief intervention in community pharmacies does not improve depressed patients' adherence or clinical symptoms. This intervention helped patients to improve their HRQOL, which is an overall measure of patient status.

Synaptic depression and slow oscillatory activity in a biophysical network model of the cerebral cortex

Short-term synaptic depression (STD) is a form of synaptic plasticity that has a large impact on network computations. Experimental results suggest that STD is modulated by cortical activity, decreasing with activity in the network and increasing during silent states. Here, we explored different activity-modulation protocols in a biophysical network model for which the model displayed less STD when the network was active than when it was silent, in agreement with experimental results. Furthermore, we studied how trains of synaptic potentials had lesser decay during periods of activity (UP states) than during silent periods (DOWN states), providing new experimental predictions. We next tackled the inverse question of what is the impact of modifying STD parameters on the emergent activity of the network, a question difficult to answer experimentally. We found that synaptic depression of cortical connections had a critical role to determine the regime of rhythmic cortical activity. While low STD resulted in an emergent rhythmic activity with short UP states and long DOWN states, increasing STD resulted in longer and more frequent UP states interleaved with short silent periods. A still higher synaptic depression set the network into a non-oscillatory firing regime where DOWN states no longer occurred. The speed of propagation of UP states along the network was not found to be modulated by STD during the oscillatory regime; it remained relatively stable over a range of values of STD. Overall, we found that the mutual interactions between synaptic depression and ongoing network activity are critical to determine the mechanisms that modulate cortical emergent patterns.