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Introduction Although some factors associated with asthma symptom deterioration and risk of exacerbation have been identified, these are not yet fully characterised. We conducted a clinical modelling and simulation study to understand baseline factors affecting symptom control, reliever use and exacerbation risk in patients with moderate–severe asthma during follow-up on regularly dosed inhaled corticosteroid (ICS) monotherapy, or ICS/long-acting beta 2 -agonist (LABA) combination therapy. Methods Individual patient data from randomised clinical trials (undertaken between 2001 and 2019) were used to model the time course of symptoms ( n = 7593), patterns of reliever medication use ( n = 3768) and time-to-first exacerbation ( n = 6763), considering patient-specific and extrinsic factors, including treatment. Model validation used standard graphical and statistical criteria. Change in symptom control scores (Asthma Control Questionnaire 5 [ACQ-5]), reduction in reliever use and annualised exacerbation rate were then simulated in patient cohorts with different baseline characteristics and treatment settings. Results Being a smoker, having higher baseline ACQ-5 and body mass index affected symptom control scores, reliever use and exacerbation risk ( p < 0.01). In addition, low forced expiratory volume in 1 s percent predicted, female sex, season and previous exacerbations were found to contribute to a further increase in exacerbation risk ( p < 0.01), whereas long asthma history was associated with more frequent reliever use ( p < 0.01). These effects were independent from the underlying maintenance therapy. In different scenarios, fluticasone furoate (FF)/vilanterol was associated with greater reductions in reliever use and exacerbation rates compared with FF or fluticasone propionate (FP) alone or budesonide/formoterol, independently from other factors ( p < 0.01). Conclusions This study provided further insight into the effects of individual baseline characteristics on treatment response and highlighted significant differences in the performance of ICS/LABA combination therapy on symptom control, reliever use and exacerbation risk. These factors should be incorporated into clinical practice as the basis for tailored management of patients with moderate–severe asthma. Supplementary Information The online version contains supplementary material available at 10.1007/s12325-024-02962-2.
Introduction Although some factors associated with asthma symptom deterioration and risk of exacerbation have been identified, these are not yet fully characterised. We conducted a clinical modelling and simulation study to understand baseline factors affecting symptom control, reliever use and exacerbation risk in patients with moderate–severe asthma during follow-up on regularly dosed inhaled corticosteroid (ICS) monotherapy, or ICS/long-acting beta 2 -agonist (LABA) combination therapy. Methods Individual patient data from randomised clinical trials (undertaken between 2001 and 2019) were used to model the time course of symptoms ( n = 7593), patterns of reliever medication use ( n = 3768) and time-to-first exacerbation ( n = 6763), considering patient-specific and extrinsic factors, including treatment. Model validation used standard graphical and statistical criteria. Change in symptom control scores (Asthma Control Questionnaire 5 [ACQ-5]), reduction in reliever use and annualised exacerbation rate were then simulated in patient cohorts with different baseline characteristics and treatment settings. Results Being a smoker, having higher baseline ACQ-5 and body mass index affected symptom control scores, reliever use and exacerbation risk ( p < 0.01). In addition, low forced expiratory volume in 1 s percent predicted, female sex, season and previous exacerbations were found to contribute to a further increase in exacerbation risk ( p < 0.01), whereas long asthma history was associated with more frequent reliever use ( p < 0.01). These effects were independent from the underlying maintenance therapy. In different scenarios, fluticasone furoate (FF)/vilanterol was associated with greater reductions in reliever use and exacerbation rates compared with FF or fluticasone propionate (FP) alone or budesonide/formoterol, independently from other factors ( p < 0.01). Conclusions This study provided further insight into the effects of individual baseline characteristics on treatment response and highlighted significant differences in the performance of ICS/LABA combination therapy on symptom control, reliever use and exacerbation risk. These factors should be incorporated into clinical practice as the basis for tailored management of patients with moderate–severe asthma. Supplementary Information The online version contains supplementary material available at 10.1007/s12325-024-02962-2.
Multiple sclerosis (MS) is a chronic autoimmune disease characterized by pathological processes of demyelination, subsequent axonal loss, and neurodegeneration within the central nervous system. Despite the availability of numerous disease-modifying therapies that effectively manage this condition, there is an emerging need to identify novel therapeutic targets, particularly for progressive forms of MS. Based on contemporary insights into disease pathophysiology, ongoing efforts are directed toward developing innovative treatment modalities. Primarily, monoclonal antibodies have been extensively investigated for their efficacy in influencing specific pathological pathways not yet targeted. Emerging approaches emphasizing cellular mechanisms, such as chimeric antigen receptor T cell therapy targeting immunological cells, are attracting increasing interest. The evolving understanding of microglia and the involvement of ferroptotic mechanisms in MS pathogenesis presents further avenues for targeted therapies. Moreover, innovative treatment strategies extend beyond conventional approaches to encompass interventions that target alterations in microbiota composition and dietary modifications. These adjunctive therapies hold promise as complementary methods for the holistic management of MS. This narrative review aims to summarize current therapies and outline potential treatment methods for individuals with MS.
Autoimmune diseases (AIDs) are a group of disorders in which the immune system attacks the body’s own tissues, leading to chronic inflammation and organ damage. These diseases are difficult to treat due to variability in drug PK among individuals, patient responses to treatment, and the side effects of long-term immunosuppressive therapies. In recent years, pharmacometrics has emerged as a critical tool in drug discovery and development (DDD) and precision medicine. The aim of this review is to explore the diverse roles that pharmacometrics has played in addressing the challenges associated with DDD and personalized therapies in the treatment of AIDs. Methods: This review synthesizes research from the past two decades on pharmacometric methodologies, including Physiologically Based Pharmacokinetic (PBPK) modeling, Pharmacokinetic/Pharmacodynamic (PK/PD) modeling, disease progression (DisP) modeling, population modeling, model-based meta-analysis (MBMA), and Quantitative Systems Pharmacology (QSP). The incorporation of artificial intelligence (AI) and machine learning (ML) into pharmacometrics is also discussed. Results: Pharmacometrics has demonstrated significant potential in optimizing dosing regimens, improving drug safety, and predicting patient-specific responses in AIDs. PBPK and PK/PD models have been instrumental in personalizing treatments, while DisP and QSP models provide insights into disease evolution and pathophysiological mechanisms in AIDs. AI/ML implementation has further enhanced the precision of these models. Conclusions: Pharmacometrics plays a crucial role in bridging pre-clinical findings and clinical applications, driving more personalized and effective treatments for AIDs. Its integration into DDD and translational science, in combination with AI and ML algorithms, holds promise for advancing therapeutic strategies and improving autoimmune patients’ outcomes.
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