One-year outcomes of inhaled controller therapies added to systemic corticosteroids after asthma-related hospital discharge

Impact of CYP3A5 Polymorphisms on Pediatric Asthma Outcomes

Genetic variation among inhaled corticosteroid (ICS)-metabolizing enzymes may affect asthma control, but evidence is limited. This study tested the hypothesis that single-nucleotide polymorphisms (SNPs) in Cytochrome P450 3A5 (CYP3A5) would affect asthma outcomes. Patients aged 2-18 years with persistent asthma were recruited to use the electronic AsthmaTracker (e-AT), a self-monitoring tool that records weekly asthma control, medication use, and asthma outcomes. A subset of patients provided saliva samples for SNP analysis and participated in a pharmacokinetic study. Multivariable regression analysis adjusted for age, sex, race, and ethnicity was used to evaluate the impact of CYP3A5 SNPs on asthma outcomes, including asthma control (measured using the asthma symptom tracker, a modified version of the asthma control test or ACT), exacerbations, and hospital admissions. Plasma corticosteroid and cortisol concentrations post-ICS dosing were also assayed using liquid chromatography-tandem mass spectrometry. Of the 751 patients using the e-AT, 166 (22.1%) provided saliva samples and 16 completed the PK study. The e-AT cohort was 65.1% male, and 89.6% White, 6.0% Native Hawaiian, 1.2% Black, 1.2% Native American, 1.8% of unknown race, and 15.7% Hispanic/Latino; the median age was 8.35 (IQR: 5.51-11.3) years. CYP3A5*3/*3 frequency was 75.8% in White subjects, 50% in Native Hawaiians and 76.9% in Hispanic/Latino subjects. Compared with CYP3A5*3/*3, the CYP3A5*1/*x genotype was associated with reduced weekly asthma control (OR: 0.98; 95% CI: 0.97-0.98; p < 0.001), increased exacerbations (OR: 6.43; 95% CI: 4.56-9.07; p < 0.001), and increased asthma hospitalizations (OR: 1.66; 95% CI: 1.43-1.93; p < 0.001); analysis of 3/*3, *1/*1 and *1/*3 separately showed an allelic copy effect. Finally, PK analysis post-ICS dosing suggested muted changes in cortisol concentrations for patients with the CYP3A5*3/*3 genotype, as opposed to an effect on ICS PK. Detection of CYP3A5*3/3, CYPA35*1/*3, and CYP3A5*1/*1 could impact inhaled steroid treatment strategies for asthma in the future.

A Roadmap for Using Causal Inference and Machine Learning to Personalize Asthma Medication Selection

Inhaled corticosteroid (ICS) is a mainstay treatment for controlling asthma and preventing exacerbations in patients with persistent asthma. Many types of ICS drugs are used, either alone or in combination with other controller medications. Despite the widespread use of ICSs, asthma control remains suboptimal in many people with asthma. Suboptimal control leads to recurrent exacerbations, causes frequent ER visits and inpatient stays, and is due to multiple factors. One such factor is the inappropriate ICS choice for the patient. While many interventions targeting other factors exist, less attention is given to inappropriate ICS choice. Asthma is a heterogeneous disease with variable underlying inflammations and biomarkers. Up to 50% of people with asthma exhibit some degree of resistance or insensitivity to certain ICSs due to genetic variations in ICS metabolizing enzymes, leading to variable responses to ICSs. Yet, ICS choice, especially in the primary care setting, is often not tailored to the patient's characteristics. Instead, ICS choice is largely by trial and error and often dictated by insurance reimbursement, organizational prescribing policies, or cost, leading to a one-size-fits-all approach with many patients not achieving optimal control. There is a pressing need for a decision support tool that can predict an effective ICS at the point of care and guide providers to select the ICS that will most likely and quickly ease patient symptoms and improve asthma control. To date, no such tool exists. Predicting which patient will respond well to which ICS is the first step toward developing such a tool. However, no study has predicted ICS response, forming a gap. While the biologic heterogeneity of asthma is vast, few, if any, biomarkers and genotypes can be used to systematically profile all patients with asthma and predict ICS response. As endotyping or genotyping all patients is infeasible, readily available electronic health record data collected during clinical care offer a low-cost, reliable, and more holistic way to profile all patients. In this paper, we point out the need for developing a decision support tool to guide ICS selection and the gap in fulfilling the need. Then we outline an approach to close this gap via creating a machine learning model and applying causal inference to predict a patient's ICS response in the next year based on the patient's characteristics. The model uses electronic health record data to characterize all patients and extract patterns that could mirror endotype or genotype. This paper supplies a roadmap for future research, with the eventual goal of shifting asthma care from one-size-fits-all to personalized care, improve outcomes, and save health care resources.

A systematic literature review of burden of illness in adults with uncontrolled moderate/severe asthma

BACKGROUND

There are limited published data on the burden of moderate/severe uncontrolled asthma.

METHODS

We conducted a systematic literature review to better understand the impact of moderate-to-severe asthma in the US, the UK, Germany, France, Italy, Spain, Canada, Japan, and Australia in terms of prevalence, clinical measures, health-related quality of life (HRQoL) and economic burden, for patients whose asthma is uncontrolled despite inhaled corticosteroid/long-acting β₂-agonist (ICS/LABA) therapy.

RESULTS

The prevalence of uncontrolled asthma among patients with moderate/severe disease varied but was as high as 100% in some subgroups. Patients with uncontrolled asthma generally had poor lung function (mean/median pre-bronchodilator forced expiratory volume in 1 second [FEV₁]: 1.69-2.45 L; mean/median pre-bronchodilator percent predicted FEV₁: 57.2-79.7). There was also a substantial but variable exacerbation burden associated with uncontrolled asthma, with the annualised rate of exacerbations ranging from 1.30 to 7.30 when considering various patient subgroups. Furthermore, the annualised rate of severe exacerbations ranged from 1.66 to 3.60. The HRQoL burden measured using disease-specific and generic instruments consistently demonstrated substantial impairment of HRQoL for those with uncontrolled asthma; Asthma Quality of Life Questionnaire scores ranged from 3.00 to 5.20, whilst EurQol-5 Dimensions index scores ranged from 0.53 to 0.59. Direct, indirect and total costs together with consumption of other healthcare resources associated with managing uncontrolled asthma were also substantial in the population studied; no caregiver burden was identified.

CONCLUSIONS

Our findings suggest that significant unmet needs exist for patients with uncontrolled asthma despite the availability of ICS/LABA therapy. Novel treatments are needed to help reduce the burden to patients, healthcare systems and society.

Effects of medication adherence on healthcare services use among asthma patients

INTRODUCTION AND OBJECTIVES

Medication adherence is an important indicator of quality in healthcare, and non-adherence is associated with increased healthcare costs, hospital admissions, re-admissions, and decline in health outcomes. Despite the availability of medication to control and avoid adverse health outcomes, adherence to medications among asthma patients varies between 40% and 60%. The objective of this study is to evaluate the effects of asthma medication adherence on healthcare services.

MATERIAL AND METHODS

This cross-sectional study is based on insurance claims data for Medicaid patients primarily diagnosed with asthma during 2015-2016. A regression analysis was performed to examine the relationship between control and rescue medication adherence with healthcare use (hospital admissions and re-admissions, clinic visits, and emergency department visits), as well as patient demographics (age, gender, and estimated income).

RESULTS

This study found a control medication adherence of 82%. Patients with high rescue medication adherence had fewer emergency department visits (p=.0004) and inpatient admissions (p=.0303). Patients with more than 4 clinic visits had higher rescue medication adherence. Older and low-income patients had higher 30-day re-admissions. Males and low-income patients had more emergency visits.

CONCLUSIONS

These results provide evidence that certain populations (older, low-income, and male) may benefit from additional education on monitoring and controlling asthma. This may reduce costlier healthcare services use in favor of less expensive physician visits and education programs.

Does a Patient-Directed Financial Incentive Affect Patient Choices About Controller Medicines for Asthma? A Discrete Choice Experiment and Financial Impact Analysis

BACKGROUND

In Australia, many patients who are initiated on asthma controller inhalers receive combination inhaled corticosteroid/long-acting beta₂-agonist (ICS/LABA) despite having asthma of sufficiently low severity that ICS-alone would be equally effective and less costly for the government.

METHODS

We conducted a discrete choice experiment (DCE) in a nationally representative sample of adults (n = 792) and parents of children (n = 609) with asthma. Mixed multinomial models were estimated and calibrated to reflect the estimated market shares of ICS-alone, ICS/LABA and no controller. We then simulated the impact of varying patient co-payment on demand and the financial impact on government pharmaceutical expenditure.

RESULTS

Preference for inhaler decreased with increasing costs to the patient or government, increasing chance of a repeat visit to the doctor, and if fewer symptoms were present. Adults preferred high-strength controllers, but parents preferred low-strength inhalers for children (general beneficiaries only). The DCE predicted a higher proportion choosing controller treatment (89%) compared to current levels (57%) at the current co-payment level, with proportionately higher uptake of ICS-alone and a lower average cost per patient [32.73 Australian dollars (AU$) c.f. AU$38.54]. Reducing the co-payment on ICS-alone by 50% would increase its market share to 50%, whilst completely removing the co-payment would only have a small marginal impact on market share, but increased average cost of treatment to the government to AU$41.04 per person.

CONCLUSIONS

Patient-directed financial incentives are unlikely to encourage much switching of medicines, and current levels of under-treatment are not explained by patient preferences. Interventions directed at prescribers are more likely to promote better use of asthma medicines.

Association between blood eosinophil count and risk of readmission for patients with asthma: Historical cohort study

Background

Recent studies have demonstrated an association between high blood eosinophil counts and greater risk of asthma exacerbations. We sought to determine whether patients hospitalized for an asthma exacerbation were at greater risk of readmission if they had a high blood eosinophil count documented before the first hospitalization.

Methods

This historical cohort study drew on 2 years of medical record data (Clinical Practice Research Datalink with Hospital Episode Statistics linkage) of patients (aged ≥5 years) admitted to hospital in England for asthma, with recorded blood eosinophil count within 1 baseline year before admission. We analyzed the association between high blood eosinophil count (≥0.35x10⁹ cells/L) and readmission risk during 1 year of follow-up after hospital discharge, with adjustment for predefined, relevant confounders using forward selection.

Results

We identified 2,613 eligible patients with asthma-related admission, of median age 51 years (interquartile range, 36–69) and 76% women (1,997/2,613). Overall, 835/2,613 (32.0%) had a preadmission high blood eosinophil count. During the follow-up year, 130/2,613 patients (5.0%) were readmitted for asthma, including 55/835 (6.6%) with vs. 75/1,778 (4.2%) without high blood eosinophil count at baseline (adjusted hazard ratio [HR] 1.49; 95% CI 1.04–2.13, p = 0.029). The association was strongest in never-smokers (n = 1,296; HR 2.16, 95% CI 1.27–3.68, p = 0.005) and absent in current smokers (n = 547; HR 1.00, 95% CI 0.49–2.04, p = 0.997).

Conclusions

A high blood eosinophil count in the year before an asthma-related hospitalization is associated with increased risk of readmission within the following year. These findings suggest that patients with asthma and preadmission high blood eosinophil count require careful follow-up, with treatment optimization, after discharge.

The burden of nonadherence among adults with asthma: a role for shared decision-making

A shared approach to decision-making framework has been suggested for chronic disease management especially where multiple treatment options exist. Shared decision-making (SDM) requires that both physician and patients are actively engaged in the decision-making process, including information exchange; expressing treatment preferences; as well as agreement over the final treatment decision. Although SDM appears well supported by patients, practitioners and policymakers alike, the current challenge is to determine how best to make SDM a reality in everyday clinical practice. Within the context of asthma, adherence rates are poor and are linked to outcomes such as reduced asthma control, increased symptoms, healthcare expenditures, and lower patient quality of life. It has been suggested that SDM can improve treatment adherence and that ignoring patients' personal goals and preferences may result in reduced rates of adherence. Furthermore, understanding predictors of poor treatment adherence is a necessary step toward developing effective strategies to improve the patient-reported and clinically important outcomes. Here, we describe why a shared approach to treatment decision-making for asthma has the potential to be an effective tool for improving adherence, with associated clinical and patient-related outcomes. In addition, we explore insights into the reasons why SDM has not been implemented into routine clinical practice.

The Impact of Statin Drug Use on All-Cause Mortality in Patients With COPD: A Population-Based Cohort Study

BACKGROUND

Patients with COPD are often prescribed statin drugs due to the increased prevalence of cardiovascular disease. There is considerable debate about the benefits conferred by statin drugs in patients with COPD. This study evaluates the association of statin drug use with all-cause and lung-related mortality in patients with COPD.

METHODS

This study uses population-based administrative data for the province of British Columbia, Canada. A cohort of patients with COPD was identified based on individual patient prescription records. Statin drug exposure was ascertained in the 1-year period after the COPD diagnosis. The primary and secondary outcomes, all-cause and lung-related mortality, respectively, were evaluated in the 1-year period thereafter using multivariate Cox proportional hazards models and several definitions of medication exposure.

RESULTS

There were 39,678 patients with COPD that met the study inclusion criteria. Of them, 7,775 (19.6%) had received at least one statin drug dispensed in the exposure ascertainment window. There were 1,446 all-cause deaths recorded in the cohort in the 1-year period after exposure ascertainment. In multivariate analysis, the estimated hazard ratio (HR) for statin drug exposure was 0.79 (95% CI, 0.68-0.92; P = .0016), suggesting a 21% reduction in the risk from statin drug use on all-cause mortality. For lung-related mortality, there was also a considerable reduction in the risk for all-cause mortality from statin drug use (HR, 0.55; 95% CI, 0.32-0.93; P = .0254). These results were robust to different specifications of the exposure ascertainment window.

CONCLUSIONS

This study shows that statin drug use in a population-based cohort of patients with COPD may confer benefits regarding reduced lung-related and all-cause mortality.

Choosing wisely: practical considerations on treatment efficacy and safety of asthma in the elderly

The prevalence of asthma in the most advanced ages is similar to that of younger ages. However, the concept that older individuals may suffer from allergic asthma has been largely denied in the past, and a common belief attributes to asthma the definition of "rare" disease. Indeed, asthma in the elderly is often underdiagnosed or diagnosed as COPD, thus leading to undertreatment of improper treatment. This is also due to the heterogeneity of clinical and functional presentations of geriatric asthma, including the partial loss of reversibility and the lower occurrence of the allergic component in this age range. The older asthmatic patients are also characterized the coexistence of comorbid conditions that, in conjunction with age-associated structural and functional changes of the lung, may contribute to complicate the management of asthma. The current review addresses the main issues related to the management of allergic asthma in the geriatric age. In particular, the paper aims at revising current pharmacological and non pharmacological treatments for allergic asthmatics of advanced ages, primarily focusing on their safety and efficacy, although most behaviors are an arbitrary extrapolation of what has been tested in young ages. In fact, age has always represented an exclusion criterion for eligibility to clinical trials. Experimental studies and real life observations specifically testing the efficacy and safety of therapeutic approaches in allergic asthma in the elderly are urgently needed.