The introduction of new therapies for the treatment of multiple sclerosis (MS) is a very recent phenomenon and little is known of their mechanism of action. Moreover, the response is subject to interindividual variability and may be affected by genetic factors, such as polymorphisms in the genes implicated in the pathologic environment, pharmacodynamics, and metabolism of the disease or in the mechanism of action of the medications, influencing the effectiveness of these therapies. This review evaluates the impact of pharmacogenetics on the response to treatment with new therapies in patients diagnosed with MS. The results suggest that polymorphisms detected in the GSTP1, ITGA4, NQO1, AKT1, and GP6 genes, for treatment with natalizumab, ZMIZ1, for fingolimod and dimethyl fumarate, ADA, for cladribine, and NOX3, for dimethyl fumarate, may be used in the future as predictive markers of treatment response to new therapies in MS patients. However, there are few existing studies and their samples are small, making it difficult to generalize the role of these genes in treatment with new therapies. Studies with larger sample sizes and longer follow-up are therefore needed to confirm the results of these studies.

Objectives To evaluate an implementation programme of a community pharmacy medication review with follow-up (MRF) service using a hybrid effectiveness-implementation study design, and to compare the clinical and humanistic outcomes with those in a previously conducted cluster randomised controlled trial (cRCT). Setting Community pharmacies in Spain. Participants 135 community pharmacies and 222 pharmacists providing MRF to polymedicated patients aged 65 or over. Intervention The intervention was an implementation programme for the MRF service. A national level group was established, mirrored with a provincial level group. A series of interventions were defined (1) to engage pharmacy owners with the implementation model and (2) to provide training to pharmacists consisting of clinical case studies, process of MRF, communication skills and data collection methods and (3) practice change facilitators. Primary and secondary outcome measures The primary outcomes for the implementation programme were progress, reach, fidelity and integration. The secondary outcomes were number of medications, non-controlled health problems, emergency visits, hospitalisations and health-related quality of life, which were compared with a previous 6-month cluster RCT. Results 55% of pharmacies reached the implementation phase and 35.6% remained in the testing phase at 12 months. A reach of 89.3% (n=844) was achieved. Fidelity average score was 8.45 (min: 6.2, max: 9.3) out of 10. The integration mean score was 3.39 (SD: 0.72) out of 5. MRF service outcomes were similar to the cluster RCT study; however, the magnitude of the outcomes was delayed. Conclusions The implementation of pharmacy services is a complex multifactorial process, conditioned by numerous implementation factors. In the absence of remuneration, the implementation of the MRF service is a slow process, taking at least 12 months to complete. Trial registration number CGFTRA-2017-01.

Background: It is necessary to determine the cost utility of adherence interventions in chronic diseases due to humanistic and economic burden of non-adherence. Purpose: To evaluate, alongside a cluster-randomized controlled trial, the cost-utility of a pharmacist-led medication adherence management service (MAMS) compared with usual care in community pharmacies. Materials and Methods: The trial was conducted over six months. Patients with treatments for hypertension, asthma or chronic obstructive pulmonary disease (COPD) were included. Patients in the intervention group (IG) received a MAMS based on a brief complex intervention, whilst patients in the control group (CG) received usual care. The cost–utility analysis adopted a health system perspective. Costs related to medications, healthcare resources and adherence intervention were included. The effectiveness was estimated as quality-adjusted life years (QALYs), using a multiple imputation missing data model. The incremental cost–utility ratio (ICUR) was calculated on the total sample of patients. Results: A total of 1186 patients were enrolled (IG: 633; CG: 553). The total intervention cost was estimated to be € 27.33 ± 0.43 per patient for six months. There was no statistically significant difference in total cost of medications and healthcare resources per patient between IG and CG. The values of EQ-5D-5L at 6 months were significantly higher in the IG [IG: 0.881 ± 0.005 vs CG: 0.833 ± 0.006; p = 0.000]. In the base case, the service was more expensive and more effective than usual care, resulting in an ICUR of € 1,494.82/QALY. In the complete case, the service resulted in an ICUR of € 2,086.30/QALY, positioned between the north-east and south-east quadrants of the cost–utility plane. Using a threshold value of € 20,000/QALY gained, there is a 99% probability that the intervention is cost-effective. Conclusion: The medication adherence management service resulted in an improvement in the quality of life of the population with chronic disease, with similar costs compared to usual care. The service is cost-effective.

Food supplements are used for a variety of purposes, one of which is weight reduction. As excess weight is a long-term condition, some supplements are expected to be used for long periods of time. The long-term use of these dietary supplements makes it highly likely that they will be combined with medications, increasing the risk of food supplement–drug interactions, which are not always known or disclosed, and can lead to serious health problems, as has been observed. This article discusses some of the compounds used as food supplements for weight reduction (green tea extract, Garcinia cambogia, chitosan, quercetin and resveratrol) and the interactions they may cause with some drugs such as: dextromethorphan, buspirone, diclofenac, irinotecan, 5-fluorouracil, cytochrome P450 inducers and inhibitors, statins, orlistat, warfarina, acenocoumarol, fluoxetine, valproate, quetiapine, carbamazepine. This information is expected to be useful for healthcare professionals to detect and intervene on food supplement–drug interactions to ensure the optimization of therapy and patient safety.

Multiple sclerosis (MS) is a chronic, inflammatory, demyelinating disease of autoimmune origin, in which inflammation and demyelination lead to neurodegeneration and progressive disability. Treatment is aimed at slowing down the course of the disease and mitigating its symptoms. One of the first-line treatments used in patients with MS is glatiramer acetate (GA). However, in clinical practice, a response rate of between 30% and 55% is observed. This variability in the effectiveness of the medication may be influenced by genetic factors such as polymorphisms in the genes involved in the pathogenesis of MS. Therefore, this review assesses the impact of genetic variants on the response to GA therapy in patients diagnosed with MS. The results suggest that a relationship exists between the effectiveness of the treatment with GA and the presence of polymorphisms in the following genes: CD86, CLEC16A, CTSS, EOMES, MBP, FAS, TRBC1, IL1R1, IL12RB2, IL22RA2, PTPRT, PVT1, ALOX5AP, MAGI2, ZAK, RFPL3, UVRAG, SLC1A4, and HLA-DRB1*1501. Consequently, the identification of polymorphisms in these genes can be used in the future as a predictive marker of the response to GA treatment in patients diagnosed with MS. Nevertheless, there is a lack of evidence for this and more validation studies need to be conducted to apply this information to clinical practice.