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Background: Etiology of allergic rhinitis and asthma is frequently associated with house dust mite sensitization and allergen immunotherapy (AIT) represents the only disease modifying treatment. In a real world setting, clinicians would benefit from biomarkers to monitor or predict response to AIT. Methods: Twenty-four consecutive house dust mite (HDM) mono-sensitized rhinitic patients, treated with subcutaneous immunotherapy (SCIT) as per clinical practice, were enrolled. Multiple in vitro biomarkers such as basophil activation (BAT), IL-10 levels, and molecular allergen-specific IgE were performed during HDM SCIT, to monitor the effects of AIT and then correlated to in vivo scores (VAS, CMSS, RQLQ). Nasal cytology was performed at baseline and after 6 and 12 months of treatment. Finally, the economic impact of SCIT in this cohort of patients was evaluated. Results: Clinical biomarkers confirmed to be useful to monitor AIT efficacy. As for laboratory biomarkers, BAT showed a reduction trend, particularly for D2C1, suggesting that this is a useful parameter in monitoring patients. IL-10 levels tend to remain stable or slightly decrease during treatment. The economic analysis confirmed the favorable impact of immunotherapy. Conclusions: In this cohort of patients, SCIT confirmed its effectiveness in reducing symptoms and drug utilization. Clinical scores confirmed to be valid in monitoring patients and their response. BAT demonstrated to be useful in monitoring more than predicting response. Further studies are needed to better explore the usefulness of these biomarkers in AIT.
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BACKGROUND AND AIMS: Empirical dose intensification and therapeutic drug monitoring [TDM] of infliximab [IFX] trough levels [ITLs] and antibody to infliximab [ATI] assays are recognized approaches for managing loss of response [LoR] in patients with inflammatory bowel disease [IBD]. The aim of the study was to compare these two interventions in a clinical setting, in terms of effectiveness and cost savings. METHODS: Consecutive IBD patients experiencing LoR were clinically managed according to a TDM algorithm. A historical group of empirically treated patients, for whom sera for ITLs and ATI assays had been collected, served as the control group. Clinical outcomes 12 weeks after the therapeutic interventions were compared between the two groups. A cost-minimization analysis was performed to compare the economic impact of these two approaches. RESULTS: Ninety-six patients were enrolled prospectively and compared with 52 controls. The two cohorts were similar in characteristics and in the distribution of TDM results. In the prospective cohort, however, we observed less IFX dose escalations compared with in the controls [45% versus 71%, p = 0.003]. Also, more patients were switched to a different anti-TNFα in the prospective cohort than in the control cohort [25% versus 4%, p = 0.001]. The percentages of patients achieving a clinical response at 12 weeks were 52% and 54% for the prospective and control groups, respectively. By cost analysis, we estimated a savings of 15% if the TDM algorithm was applied. CONCLUSIONS: In our population, applying a TDM algorithm for LoR to IFX resulted in less dose escalations, without loss of efficacy, compared with empirical adjustment. In addition, the TDM approach was cost-effective.