In recent years, major developments have occurred in severe asthma management. Different asthma phenotypes and subgroups have been identified and new treatment options have become available. A total of five monoclonal antibodies are currently approved in severe asthma treatment: omalizumab, mepolizumab, reslizumab, benralizumab and dupilumab. These drugs have been shown to reduce exacerbations and to have an oral corticosteroid-sparing effect in many severe asthma patients. However, biological treatment is not successful in all patients and should be discontinued in non-responsive patients. Treating the right patient with the right biologic, and therefore biologic response prediction, has become a major point of interest in severe asthma management. A variety of response outcomes is utilized in the different clinical trials, as well as a huge range of potential predicting factors. Also, regarding the timing of the response evaluation, there are considerable differences between studies. This review summarizes the results from studies on predicting responses and responders to biological treatment in severe asthma, taking into account clinical, functional and inflammatory parameters assessed prior to the start of treatment as well as following a few months of therapy. In addition, future perspectives are discussed, highlighting the need for more research to improve patient identification and treatment responses in the field of biological treatment in severe asthma.
Purpose
Peripheral neuropathy (PN) is common in patients with multiple myeloma (MM). We hypothesized that the relationship between hypovitaminosis D and PN described in diabetes mellitus patients may also be present in MM patients.
Methods
To study this potential association, we assessed the incidence of hypovitaminosis D (vitamin D < 75 nmol/L [= 30 ng/mL]) in smouldering and active MM patients in two Dutch hospitals. Furthermore, a validated questionnaire was used to distinguish different PN grades.
Results
Of the 120 patients included between January 2017 and August 2018, 84% had an inadequate vitamin D level (median vitamin D level 49.5 nmol/L [IQR 34–65 nmol/L]; mean age: 68 years [SD ± 7.7]; males: 58%). PN was reported by 69% of patients (n = 83); however, of these 83 patients, PN was not documented in the medical records of 52%. An association was found between lower vitamin D levels and higher incidence of PN in the total population (P = 0.035), and in the active MM patients (P = 0.016).
Conclusion
This multi-centre cohort study showed that PN and hypovitaminosis D are common in MM patients, and addressing low vitamin D levels in the treatment of MM patients might be beneficial in reducing the risk of PN. More attention for PN is warranted, as PN is underreported by clinicians. Further research is needed to fully understand the implications of vitamin D in the development of PN in patients with MM.
Clinical trial registration
Netherland Trial Register NL5835, date of registration July 28, 2016
Real-world evidence from multinational disease registries is becoming increasingly important not only for confirming the results of randomized controlled trials, but also for identifying phenotypes, monitoring disease progression, predicting response to new drugs, and early detection of rare side effects. With new open access technologies, it has become feasible to harmonize patient data from different disease registries and use it for data analysis without compromising privacy rules. In this article, we provide a blueprint for how a clinical research collaboration can successfully use real-world data from existing disease registries to perform federated analyses. We describe how the European Severe Asthma Clinical Research Collaboration SHARP fulfilled the harmonization process from non-standardized clinical registry data to the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) and built a strong network of collaborators from multiple disciplines and countries. The blueprint covers organizational, financial, conceptual, technical, analytical and research aspects and discusses both the challenges and the lessons learned. All in all, setting up a federated data network is a complex process that requires thorough preparation, but above all, it is a worthwhile investment for all clinical research collaborations, especially in view of the emerging applications of artificial intelligence and federated learning.
A patient with severe asthma on benralizumab therapy was admitted to the intensive care unit (ICU) for a coronavirus disease 2019 (COVID-19) infection. At the end of the 8 week benralizumab dosing interval, discussion arose as to whether benralizumab should be administered or if treatment should be discontinued, due to the lack of experience with benralizumab in this situation. Severe broncho-obstruction developed, and the next injection of benralizumab was administered during ICU admission without detrimental symptoms. With this case report, we would like to share our experience with the safe administration of benralizumab during COVID-19 pneumonia, guiding doctors in future decision making.
Background The novel anti-IL-5 drug mepolizumab improves asthma outcomes in the majority but not all patients with severe eosinophilic asthma. Currently it is difficult to predict an individuals' chance of being a responder. Early changes in patient-reported outcome measures may contribute to the prediction of long-term outcomes. Aim To compare early changes in patient-reported outcome measures after 8 weeks and long-term response to mepolizumab treatment. Method 22 severe eosinophilic asthma patients starting mepolizumab therapy in a severe asthma centre in the Netherlands were evaluated on baseline, 8 weeks and 52 weeks, collecting questionnaire scores and asthma-related parameters. Well-controlled asthma was defined as an asthma control questionnaire score ≤ 0.75. Long-term treatment response was defined as continuing mepolizumab therapy at 52 weeks. Results Nine patients (41%) had well-controlled asthma at 8 weeks and all were mepolizumab responders at 52 weeks (positive predictive value = 100%, 95%CI 66-100), versus only 5 responders out of 13 patients with not well-controlled asthma at 8 weeks (negative predictive value = 62%, 95%CI 32-86). Conclusion The results in this study suggest that patients receiving mepolizumab therapy with an ACQ-score ≤ 0.75 at 8 weeks are unlikely to need extensive monitoring, for they are very likely to be long-term responders.
KeywordsSevere asthma • Mepolizumab • Biologics • Patient-reported outcome measures • Personalized medicine • Treatment evaluation
Impacts on practice• Therapy evaluation of mepolizumab treatment based on PROMs could be expedited to as early as 8 weeks after treatment initiation. • The findings in this study suggest the selection of patients requiring less extensive follow-up after initiating mepolizumab treatment.
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