Objective Assessment of Adherence to Inhalers by Patients with Chronic Obstructive Pulmonary Disease

The effect of web-designed education on medication adherence, asthma control and fatigue in patients with asthma: A randomized controlled trial

AIMS

This study aimed to determine the effect of web-designed education developed for asthma patients on drug adherence, asthma control and fatigue.

METHODS

This randomized controlled trial was conducted between August 2021 and January 2022 with 200 individuals suffering from poor asthma control who participated in web-designed education. After the intervention, the asthma patients were followed up for 6 weeks to measure Medication Adherence Report Scale (MARS), Chronic Obstructive Pulmonary Disease and Asthma Fatigue Scale (CAFS), Asthma Control Test (ACT) and Inhalation Devices Usage Techniques Knowledge Test (IDUSTKT). Data were analysed in the Statistical Package for the Social Sciences program using the Chi-square test, Independent t-test, Man-Whitney U test, Wilcoxon test, Paired t-test, Greenhouse-Geisser (F) test and Linear regression.

RESULTS

The web-designed education had a statistically significant effect on the total scores of CAFS, ACT and IDUSTKT for individuals with asthma (p < 0.001). This intervention decreased fatigue levels, improved asthma control and enhanced knowledge of inhalation device usage techniques. Although there was an improvement in medication adherence, this difference was not statistically significant.

CONCLUSION

These results suggest that web-based educational programs can be an effective tool in asthma management and may improve patients' quality of life. Future research should examine the long-term effects of such educational programs and their effectiveness across different demographic groups in more detail.

A comprehensive evaluation of online inhaler use techniques for obstructive airway disease

BACKGROUND

Pulmonary inhaler therapy is a core treatment modality for >600 million individuals affected by obstructive airways disease globally. Poor inhaler technique is associated with reduced disease control and increased health care utilization; however, many patients rely on the internet as a technical resource. This study assesses the content and quality of online resources describing inhaler techniques.

METHODS

A Google search was conducted in April 2023 capturing the top 5 search results for 12 common inhaler devices. Websites were compared to product monographs for preparation/first use, inhalational technique, and post-usage/device care. They were also assessed using accepted quality metrics (GQS, DISCERN, JAMA Benchmark scores) and clinically relevant aspects based on the literature and consensus statements.

RESULTS

Websites regularly excluded critical steps important for proper inhaler technique. They performed best on information related directly to inhalation technique (average median score 78%), whereas steps related to preparation/first use (58%) or post-usage/device care (50%) were less frequently addressed. Median GQS, DISCERN, and JAMA Benchmark scores were 3 [IQR 3-4], 3 [IQR 2-4], and 1 [IQR 1-3], respectively. Clinically relevant factors were only addressed in about one-fifth of websites with no websites addressing smoking cessation, environmental considerations, or risk factors for poor technique.

CONCLUSIONS

This study highlights gaps in online resources describing inhaler technique, particularly related to preparation/first use and post-usage/device care steps. Clinically relevant factors were rarely addressed across websites. Improvements in these areas could lead to enhanced inhaler technique and clinical outcomes.

Filling the gaps in the evaluation and selection of mobile health technologies in respiratory medicine

INTRODUCTION

Mobile health (mHealth) technology in respiratory medicine is a fast-growing and promising digital technology that is popular among patients and healthcare providers (HCPs). They provide reminders and step-by-step instructions for the correct inhalation technique, monitor patients' adherence to treatment, and facilitate communication between patients and HCPs.

AREAS COVERED

While numerous mHealth apps have been developed over the years, most applications do not have supporting evidence. Selecting the best mHealth app in respiratory medicine is challenging due to limited studies carrying out mHealth app selection. Although mHealth technologies play an important part in the future of respiratory medicine, there is no single guide on the evaluation and selection of mHealth technologies for patients with pulmonary diseases. This paper aims to provide an overview of mHealth technologies, particularly emphasizing digital inhalers and standalone applications used in asthma. Additionally, it offers insights into the evaluation, selection, and pertinent considerations surrounding mHealth applications in respiratory medicine.

EXPERT OPINION

Evaluating mHealth apps will take time, resources, and collaboration between stakeholders such as governmental regulatory bodies, subject-matter experts, and industry representatives. Filling the gaps in the evaluation and selection of the mHealth app will improve clinical decision-making, personalized treatments, self-management and disease monitoring in respiratory medicine.

Treatment pathways, economic burden and clinical outcomes in new users of inhaled corticosteroid/long-acting B2-agonist dual therapy with chronic obstructive pulmonary disease in a primary care setting in England: a retrospective cohort study

OBJECTIVE

Management of chronic obstructive pulmonary disease (COPD) with inhaled corticosteroid/long-acting β2-agonist (ICS/LABA) improves lung function and health status and reduces COPD exacerbation risk versus monotherapy. This study described treatment use, healthcare resource utilisation (HCRU), healthcare costs and outcomes following initiation of single-device ICS/LABA as initial maintenance therapy (IMT).

DESIGN

Retrospective cohort study.

SETTING

Primary care, England.

DATA SOURCES

Linked data from the Clinical Practice Research Datalink Aurum and Hospital Episode Statistics datasets.

PARTICIPANTS

Patients with COPD and ≥1 single-device ICS/LABA prescription between July 2015 and December 2018 were included.

PRIMARY AND SECONDARY OUTCOME MEASURES

Treatment pathways, COPD-related HCRU and healthcare costs, COPD exacerbations, time to triple therapy, medication adherence (proportion of days covered ≥80%) and indexed treatment time to discontinuation. Data for patients without prior maintenance therapy history (IMT users) and non-triple users were assessed over a 12-month follow-up period.

RESULTS

Of 13 451 new ICS/LABA users, 5162 were IMT users (budesonide/formoterol, n=1056; beclomethasone dipropionate/formoterol, n=2427; other ICS/LABA, n=1679), for whom at 3 and 12 months post-index, 45.6% and 39.4% were still receiving any ICS/LABA. At >6 to ≤12 months, the proportion of IMT users with ≥1 outpatient visit (10.1%) and proportion with ≥1 inpatient stay (12.6%) had increased from those at 3 months (9.0% and 7.4%, respectively). Inpatient stays contributed most to total COPD-related healthcare costs. For non-triple IMT users, at 3 and 12 months post-index, 4.5% and 13.7% had ≥1 moderate-to-severe COPD exacerbation. Time to triple therapy initiation and time to discontinuation of index medication ranged from 45.9 to 50.2 months and 2.3 to 2.8 months between treatments. Adherence was low across all time points (21.5-27.6%). Results were similar across indexed therapies.

CONCLUSIONS

In the year following treatment initiation, ICS/LABA adherence was poor and many patients discontinued or switched therapies, suggesting that more consideration and optimisation of treatment is required in England for patients initiating single-device ICS/LABA therapy.

Consideration and Assessment of Patient Factors When Selecting an Inhaled Delivery System in COPD

Because guidelines and strategies for pharmacologic treatment of COPD focus on specific classes of inhaled medications, there is an unmet need for information to guide health care professionals for selecting an inhaled medication delivery system that matches the unique characteristics of individual patients. This article provides guidance for selecting an inhaled medication delivery system based on three "key" patient factors: cognitive function, manual dexterity/strength, and peak inspiratory flow. In addition, information is provided about specific tests to assess these patient factors. Cognitive impairment with an estimated prevalence of 25% among patients with COPD adversely affects patients' ability to correctly use a handheld device. To our knowledge, the prevalence of impaired manual dexterity/strength has not been reported in those with COPD. However, 79% of patients with COPD have reported one or more physical impediments that could influence their ability to manipulate an inhaler device. The measurement of peak inspiratory flow against the simulated resistance (PIFr) of a dry powder inhaler establishes whether the patient has the inhalation ability for creating optimal turbulent energy within the device. A suboptimal PIFr for low to medium-high resistance dry powder inhalers has been reported in 19% to 84% of stable outpatients with COPD. Health care professionals should consider cognitive function, manual dexterity/strength, and PIFr in their patients with COPD when prescribing inhaled pharmacotherapy. Impairments in these patient factors are common among those with COPD and can affect the individual's competency and effectiveness of using inhaled medications delivered by handheld devices.

Errors and Adherence to Inhaled Medications in Chinese Adults with COPD

BACKGROUND

Adherence to inhaled medications is key to chronic obstructive pulmonary disease (COPD) control and management.

OBJECTIVE

To assess errors and adherence to inhalation therapy in COPD patients, and identify potential factors associated with poor adherence.

METHODS

This cross-sectional study was conducted from October 1, 2022, to November 30, 2022, in 24 hospital outpatient departments in different cities of Hunan Province, China. Adherence to inhaled medications was measured using the 10-item Test of Adherence Inventory, and the results were expressed using both descriptive and inferential statistics.

RESULTS

A total of 2218 clinically confirmed adult COPD patients completed the questionnaires, and 1423 patients with more than a 3-month history of inhalation therapy were analyzed. This study found that 61.3% of patients made one or more use errors. Not holding the breath after inhalation or holding the breath for less than 3 s had the highest reporting rate (30.7%). A considerable proportion of patients (66.6%) demonstrated suboptimal adherence to inhaled medications. Patients who resided in rural areas (OR 1.45, 95% CI 1.12-1.88), used dual therapy (OR 1.47, 95% CI 1.05-2.05), and exhibited common use errors (OR 3.02, 95% CI 2.39-3.82) were more likely to present suboptimal adherence. Patients with CAT (Chronic Obstructive Pulmonary Disease Assessment Test) score < 10 (OR 0.73, 95% CI 0.56-0.94), a junior high school education and above (OR 0.73, 95% CI 0.57-0.94), and duration of inhaled medication use > 3 years (OR 0.63, 95% CI 0.47-0.83) were associated with better adherence.

CONCLUSION

Suboptimal adherence to inhaled medications and many inhalation therapy errors were identified among COPD patients. Common use errors in inhaled medications, CAT score, and education background were predictive of and influenced adherence to inhaled medications. It is necessary to strengthen training in Chinese patients about inhaler use and follow-up intensively with patients throughout treatment, especially for patients with risk factors.

Improved medication adherence in COPD patients using tiotropium or tiotropium olodaterol with the HealthPrize digital behavior change program

OBJECTIVE

To assess the impact of the HealthPrize RespiPoints™ program on treatment adherence and persistence in adults with chronic obstructive pulmonary disease (COPD).

METHODS

In this retrospective cohort study, program participants and nonparticipants receiving tiotropium bromide (TIO) or TIO and olodaterol between 1 January 2015-31 March 2020 were propensity score matched (PSM), from the linked database of the HealthPrize patient list and IQVIA PharMetrics® Plus. Treatment adherence, persistence, healthcare resource utilization, and costs were compared. Multivariable logistic regression models assessed the odds of adherence (≥80% proportion of days covered [PDC]), adjusted risk of discontinuation, and adjusted total healthcare costs.

RESULTS

Program participants (n = 262) demonstrated a 44% greater adherence during followup than nonparticipants (n = 262) (mean [standard deviation] PDC: 0.72 [0.27] vs 0.50 [0.36], p < 0.0001). Participants had higher odds of adherence vs nonparticipants (adjusted odds ratio: 2.51; 95% confidence interval: 1.72-3.66, p < 0.0001) and a lower percentage of participants discontinued their index medication (19.85% vs 33.59%, p = 0.0004). Fewer participants were hospitalized during follow-up (13.74% vs 17.56%, p = 0.23); adjusted total medical costs were 24% lower (p = 0.08). Higher pharmacy costs partially offset lower healthcare costs.

CONCLUSIONS

Program participants showed improved COPD medication adherence and persistence compared to nonparticipants.

Inhaler Adherence in COPD: A Crucial Step Towards the Correct Treatment

COPD is a typical example of chronic disease. As such, treatment adherence tends to be as low as between 30% and 50%, with specific issues in COPD due to the use of inhaled therapies. Decreased adherence in COPD is associated with worse outcomes, with increased risk for exacerbations and long-term mortality. Factors that impact adherence are multiple, some related to patient, some related to clinicians and finally some related to healthcare system. Among clinician factors, prescription of simplified treatment regimens delivered by an inhaler adapted to the patient's characteristics is crucial. Although it has been observed a huge improvement in the design and usability of inhaler devices for COPD in the last two centuries, there is still a clear gap in this field. Smart inhalers as well as simplified treatment regimens could improve adherence and therefore improve long-term outcomes in COPD.

Reductions in inhaler greenhouse gas emissions by addressing care gaps in asthma and chronic obstructive pulmonary disease: an analysis

INTRODUCTION

Climate change from greenhouse gas (GHG) emissions represents one of the greatest public health threats of our time. Inhalers (and particularly metred-dose inhalers (MDIs)) used for asthma and chronic obstructive pulmonary disease (COPD), constitute an important source of GHGs. In this analysis, we aimed to estimate the carbon footprint impact of improving three distinct aspects of respiratory care that drive avoidable inhaler use in Canada.

METHODS

We used published data to estimate the prevalence of misdiagnosed disease, existing inhaler use patterns, medication class distributions, inhaler type distributions and GHGs associated with inhaler actuations, to quantify annual GHG emissions in Canada: (1) attributable to asthma and COPD misdiagnosis; (2) attributable to overuse of rescue inhalers due to suboptimally controlled symptoms; and (3) avoidable by switching 25% of patients with existing asthma and COPD to an otherwise comparable therapeutic option with a lower GHG footprint.

RESULTS

We identified the following avoidable annual GHG emissions: (1) ~49 100 GHG metric tons (MTs) due to misdiagnosed disease; (2) ~143 000 GHG MTs due to suboptimal symptom control; and (3) ~262 100 GHG MTs due to preferential prescription of strategies featuring MDIs over lower-GHG-emitting options (when 25% of patients are switched to lower GHG alternatives). Combined, the GHG emission reductions from bridging these gaps would be the equivalent to taking ~101 100 vehicles off the roads each year.

CONCLUSIONS

Our analysis shows that the carbon savings from addressing misdiagnosis and suboptimal disease control are comparable to those achievable by switching one in four patients to lower GHG-emitting therapeutic strategies. Behaviour change strategies required to achieve and sustain delivery of evidence-based real-world care are complex, but the added identified incentive of carbon footprint reduction may in itself prove to be a powerful motivator for change among providers and patients. This additional benefit can be leveraged in future behaviour change interventions.

The 2023 GOLD Report: Updated Guidelines for Inhaled Pharmacological Therapy in Patients with Stable COPD

Over the past 22 years, annual GOLD Reports have documented important changes in guidance and recommendations for uniformly treating patients with chronic obstructive pulmonary disease (COPD) with the goal of improving outcomes in patients suffering from this condition. The most recent GOLD Report, released in 2023, shows continued refinement in several areas, including more precise definitions of COPD and exacerbations of COPD, a new set of parameters to assess exacerbation severity, an updated COPD assessment tool, updated guidelines for initial and follow-up treatment, new information regarding the association between pharmacological triple therapy and reduction in mortality, and new discussions of inhaler device choice and adherence to COPD medications. Whereas we do not address all of the new or updated material in GOLD's 2023 Report, we summarize key changes in GOLD's recommendations regarding inhalation therapy for stable COPD and frame these changes in the context of previous GOLD recommendations.

Clinical Implications of Peak Inspiratory Flow in COPD: Post Hoc Analyses of the TRONARTO Study

Background

In patients with COPD, inhalation ability should be assessed when considering inhaler choice. To evaluate whether the soft mist inhaler (SMI) is suitable for COPD patients irrespective of inhalation ability, the TRONARTO study investigated the efficacy of dual long-acting bronchodilator therapy delivered via the Respimat® SMI on lung function in patients with COPD stratified by inhalation ability. Tiotropium/olodaterol delivered via the SMI was effective both in patients with peak inspiratory flow (PIF) <60 L/min and PIF ≥60 L/min, measured against medium-low resistance.

Methods

This congress compilation summarizes post hoc analyses from the TRONARTO study presented at the annual American Thoracic Society 2022 and European Respiratory Society 2022 meetings. These analyses evaluated PIF in over 200 patients, with PIF measurements taken daily at home for 4 weeks, and in the clinic at baseline, Weeks 2 and 4.

Results

Overall, 57.9% of patients had a PIF range (difference between lowest and highest PIF measurements) <20 L/min (12.4% of patients had PIF range <10 L/min). At-home PIF range decreased over the study period, suggesting that inhaler training/repeated PIF measurements may help to make patients' inspiratory effort more consistent. Some patient characteristics correlated with lower PIF (female gender, shorter stature, more severe disease, worse airflow obstruction) and lower PIF range (more severe disease). PIF measurements differed between medium-low and high-resistance settings, highlighting the importance of measuring PIF at the resistance of a patient's inhaler. PIF correlated poorly with spirometry measurements.

Conclusion

As indicated in COPD management guidelines, choice of inhaler is essential to optimize pharmacologic therapies for COPD. Poor inspiratory ability should be viewed as a treatable trait that can help to inform inhaler choice. Inhaler training and consideration of PIF (if patients use a dry powder inhaler) can reduce patient-to-inhaler mismatch, with potential consequences for health status and exacerbation risk.

Up-to-date guidance towards improving medication adherence in patients with chronic obstructive pulmonary disease

INTRODUCTION

Despite efficacious treatment for chronic obstructive pulmonary disease (COPD), medication adherence remains quite poor, with most estimates based on electronic monitoring devices ranging from 20-30%. This degree of nonadherence represents a significant missed opportunity to realize the benefits of treatment of this disease.

AREAS COVERED

In this article, we review research on the prevalence of nonadherence among patients with COPD, the association of nonadherence with health outcomes, barriers to adherence in this patient population, and potential interventions.

EXPERT OPINION

Integrating research into practice involves assessing patients' adherence, identifying modifiable barriers to adherence, open discussion of these barriers with patients, and tailored interventions to address them. These interventions may include treatment of previously unrecognized comorbid disease, providing educational or behavioral interventions, optimizing prescribing strategies, use of adherence aids, or addressing cost and other access barriers. Electronic inhaler monitors are promising interventions for both monitoring and improving adherence. However, remaining concerns about integration into patient care, data management, cost, acceptability, and ethical and privacy issues must be overcome prior to their implementation in clinical practice.

Use of digital measurement of medication adherence and lung function to guide the management of uncontrolled asthma (INCA Sun): a multicentre, single-blinded, randomised clinical trial

BACKGROUND

The clinical value of using digital tools to assess adherence and lung function in uncontrolled asthma is not known. We aimed to compare treatment decisions guided by digitally acquired data on adherence, inhaler technique, and peak flow with existing methods.

METHODS

A 32-week prospective, multicentre, single-blinded, parallel, randomly controlled trial was done in ten severe asthma clinics across Ireland, Northern Ireland, and England. Participants were 18 years or older, had uncontrolled asthma, asthma control test (ACT) score of 19 or less, despite treatment with high-dose inhaled corticosteroids, and had at least one severe exacerbation in the past year despite high-dose inhaled corticosteroids. Patients were randomly assigned in a 1:1 ratio to the active group or the control group, by means of a computer-generated randomisation sequence of permuted blocks of varying sizes (2, 4, and 6) stratified by fractional exhaled nitric oxide (FeNO) concentration and recruitment site. In the control group, participants were masked to their adherence and errors in inhaler technique data. A statistician masked to study allocation did the statistical analysis. After a 1-week run-in period, both groups attended three nurse-led education visits over 8 weeks (day 7, week 4, and week 8) and three physician-led treatment adjustment visits at weeks 8, 20, and 32. In the active group, treatment adjustments during the physician visits were informed by digital data on inhaler adherence, twice daily digital peak expiratory flow (ePEF), patient-reported asthma control, and exacerbation history. Treatment was adjusted in the control group on the basis of pharmacy refill rates (a measure of adherence), asthma control by ACT questionnaire, and history of exacerbations and visual management of inhaler technique. Both groups used a digitally enabled Inhaler Compliance Assessment (INCA) and PEF. The primary outcomes were asthma medication burden measured as proportion of patients who required a net increase in treatment at the end of 32 weeks and adherence rate measured in the last 12 weeks by area under the curve in the intention-to-treat population. The safety analyses included all patients who consented for the trial. The trial is registered with ClinicalTrials.gov, NCT02307669 and is complete.

FINDINGS

Between Oct 25, 2015, and Jan 26, 2020, of 425 patients assessed for eligibility, 220 consented to participate in the study, 213 were randomly assigned (n=108 in the active group; n=105 in the control group) and 200 completed the study (n=102 in the active group; n=98 in the control group). In the intention-to-treat analysis at week 32, 14 (14%) active and 31 (32%) control patients had a net increase in treatment compared with baseline (odds ratio [OR] 0·31 [95% CI 0·15-0·64], p=0·0015) and 11 (11%) active and 21 (21%) controls required add-on biological therapy (0·42 [0·19-0·95], p=0·038) adjusted for study site, age, sex, and baseline FeNO. Three (16%) of 19 active and 11 (44%) of 25 control patients increased their medication from fluticasone propionate 500 μg daily to 1000 μg daily (500 μg twice a day; adjusted OR 0·23 [0·06-0·87], p=0·026). 26 (31%) of 83 active and 13 (18%) of 73 controls reduced their medication from fluticasone propionate 1000 μg once daily to 500 μg once daily (adjusted OR 2·43 [1·13-5·20], p=0·022. Week 20-32 actual mean adherence was 64·9% (SD 23·5) in the active group and 55·5% (26·8) in the control group (between-group difference 11·1% [95% CI 4·4-17·9], p=0·0012). A total of 29 serious adverse events were recorded (16 [55%] in the active group, and 13 [45%] in the control group), 11 of which were confirmed as respiratory. None of the adverse events reported were causally linked to the study intervention, to the use of salmeterol-fluticasone inhalers, or the use of the digital PEF or INCA.

INTERPRETATION

Evidence-based care informed by digital data led to a modest improvement in medication adherence and a significantly lower treatment burden.

FUNDING

Health Research Board of Ireland, Medical Research Council, INTEREG Europe, and an investigator-initiated project grant from GlaxoSmithKline.

Current Status and Influencing Factors of Readiness for Discharge of Elderly Patients with Chronic Obstructive Pulmonary Disease

Objective

Readiness for hospital discharge is an important indicator of patients' transition from illness to health and can predict rehabilitation and prognosis. Identifying factors that influence readiness for discharge is crucial for developing effective nursing interventions. Therefore, this study aims to investigate the current status of discharge readiness and its influencing factors in elderly patients with chronic obstructive pulmonary disease (COPD).

Methods

A total of 311 elderly inpatients diagnosed with COPD were enrolled in this investigation at a tertiary hospital in Chengdu between December 2021 and June 2022. Questionnaires were designed to collect general information, disease-related information, and responses to the Readiness for Hospital Discharge Scale (RHDS) and the Quality of Discharge Teaching Scale (QDTS). Univariate and multivariate linear regression analyses were employed to further analyze factors related to discharge readiness and the correlation between discharge readiness and the quality of discharge guidance.

Results

The total score of discharge readiness of elderly COPD patients was 77.72 ± 11.86 with a mean score of 6.48 ± 0.19 for each item. The quality of discharge instructions was 110.54 ± 15.66, with a mean score of 6.12 ± 0.15 for each item. Discharge preparation was positively correlated with the quality of discharge guidance. Multivariate analysis showed that marital status, admission mode, length of stay in hospital, Classification of Severity of Airflow Limitation, mMRC classification, number of medications taken with discharge, presence of inhalers in medication orders, mode of home oxygen therapy, and quality of discharge guidance were independent factors of discharge readiness in elderly COPD patients (P < 0.05).

Conclusion

Both discharge readiness and the quality of discharge guidance for elderly COPD patients in China are currently suboptimal and need further improvement. The survey findings provide valuable insights that can guide future management practices and interventions aimed at improving discharge readiness.

An aerosol inhalation monitor would improve the accuracy of checklist assessment in drug inhalation techniques

BACKGROUND

Checklists are usually employed to assess the inhalation techniques in patients, but partial techniques are difficult to evaluate visually. This study aimed to assess the checklist validity and an agreement between checklists and an aerosol inhalation monitor (AIM) assessments.

METHODS

This study used a checklist and an AIM to evaluate the participants' inhalation techniques with a pressurized metered-dose inhaler (MDI) and two dry powder inhalers (DPIs). The kappa (κ) coefficient, prevalence-adjusted and bias-adjusted κ (PABAK), sensitivity, specificity, positive predictive value, and negative predictive value were all calculated to determine the agreement between the checklist and AIM in an MDI and DPIs with different inhalation technique steps.

RESULTS

The checklist and AIM exhibited poor agreement in the MDI for actuation and inhalation time, and a moderate agreement for inspiratory flow. The fair agreement was observed in DPIs for inspiratory flow between the checklist and AIM. The steps of holding breath in MDI and DPIs were highly correlated between both assessments. The lowest accuracy evaluated with an AIM was found in the step of actuation and inhalation time in the MDI and in the inspiratory flow step in DPIs.

CONCLUSION

The checklist tended to overestimate the accuracy of critical techniques including the actuation and inhalation time in MDIs and the inspiratory flow in DPIs. Thus, the AIM device can be used as an objective auxiliary tool to assess and quantify the specific steps of inhalation technique for the users with MDI and DPIs.

Advancing Digital Solutions to Overcome Longstanding Barriers in Asthma and COPD Management

Maintenance therapy delivered via inhaler is central to asthma and chronic obstructive pulmonary disease (COPD) management. Poor adherence to inhaled medication and errors in inhalation technique have long represented major barriers to the optimal management of these chronic conditions. Technological innovations may provide a means of overcoming these barriers. This narrative review examines ongoing advances in digital technologies relevant to asthma and COPD with the potential to inform clinical decision-making and improve patient care. Digital inhaler devices linked to mobile apps can help bring about changes in patients' behaviors and attitudes towards disease management, particularly when they build in elements of interactivity and gamification. They can also support ongoing technique education, empowering patients and helping providers maximize the value of consultations and develop effective action plans informed by insights into the patient's inhaler use patterns and their respiratory health. When combined with innovative techniques such as machine learning, digital devices have the potential to predict exacerbations and prompt pre-emptive intervention. Finally, digital devices may support an advanced precision medicine approach to respiratory disease management and help support shared decision-making. Further work is needed to increase uptake of digital devices and integrate their use into care pathways before their full potential in personalized asthma and COPD management can be realized.

Asthma Management in Adults

Management of asthma in adults has advanced in the past 10 years. Central to these advances has been further clarification of type (T) 2 mechanisms of airway inflammation and utilization of T2 biomarkers, that is, eosinophils and fractional exhaled nitric oxide. In addition, epithelial cells are emerging as significant contributors to inflammation through generation of alarmins to initiate local injury as well as downstream pathways. Five new biologics, mepolizumab, benralizumab, reslizumab, dupilumab, and tezepelumab, were approved to join omalizumab and revolutionize severe asthma treatment. These biologics significantly prevent exacerbations to spare systemic corticosteroids use and their side effects. Guidelines attest to the effectiveness of inhaled corticosteroids/long-acting β-agonists (formoterol) for both maintenance and rescue therapy. Focused updates to the Expert Panel Report addressed limited but specific questions relevant to asthma control. Future guidelines should include phenotype/endotype-directed therapeutics to gain more precision-directed treatment.

Clinical recommendations for dry powder inhaler use in the management of COPD in primary care

Over 1400 patients using dry powder inhalers (DPIs) to deliver COPD maintenance therapies were recruited across Europe and Australia. Their peak inspiratory flow (PIF) was measured, inhaler technique was observed, and adherence to treatment assessed. From relating the findings with patient health status, and thereby identifying critical errors, key clinical recommendations for primary care clinicians were determined, namely - measure PIF before prescribing a DPI to ensure inhalation manoeuvre ability is well-matched with the device. Some patients could benefit from inhalation training whereas others should have their DPI changed for one better suited to their inspiratory ability or alternatively be prescribed an active device (such as a soft mist inhaler or pressurized metered dose inhaler). Observing the inhalation technique was valuable however this misses suboptimal PIF (approaching one fourth of patients with a satisfactory observed manoeuvre had a suboptimal PIF for their DPI). Assess adherence as deliberate non-adherence can point to a mismatch between a patient and their inhaler (deliberate non-adherence was significantly associated with PIFs below the minimum for the DPI). In-person observation of inhalation technique was found to be inferior to video rating based on device-specific checklists. Where video assessments are not possible, observation training for healthcare professionals would therefore be valuable particularly to improve the ability to identify the critical errors associated with health status namely 'teeth and lips sealed around mouthpiece', 'breathe in' and 'breathing out calmly after inhalation'. However, it is recommended that observation alone should not replace PIF measurement in the DPI selection process.Trial registration: https://clinicaltrials.gov/ct2/show/NCT04532853 .

Integrating digital inhalers into clinical care of patients with asthma and chronic obstructive pulmonary disease

Modernizing inhaled medications through digital technology can help address persistent problems of non-adherence and poor inhaler technique in patients with obstructive lung diseases. With a growing body of supportive clinical studies, advances in digital inhaler sensors and platforms, greater support from payers and healthcare organizations, significant growth with these technologies is expected. While all digital (smart) inhalers record adherence, these are distinguished by their compatibility with commercial inhalers, capabilities to guide inhaler technique, use of patient-reported outcomes, and user-friendliness for both the healthcare professional (HCP) and patient. Due to the complexity and novelty of employing digital inhalers, collaboration with multiple entities within health systems is necessary and a well-planned integration is needed. For HCPs and patients, cybersecurity and privacy are critical, it will require review by each healthcare organization. In the US, some payers reimburse for remote monitoring using digital inhalers, but reimbursement is currently unavailable in other countries. There are several models for remote patient care, as employing an active, ongoing digital interface between the HCP and patient or they may choose to only review data at clinical encounters. Personalization of therapies and feedback are key to success. While digital inhaler malfunction uncommonly occurs, patient attrition over a year is significant. Some patients will be challenged to use digital platforms or have the necessary technology. Additional research is needed to address cost-effectiveness, in vivo accuracy of inspiratory measurement capable devices, ability to teach inhaler technique, their application for monitoring lung function, and lastly real-world adoption and implementation in routine clinical practice.

Shared Decision-Making Facilitates Inhaler Choice in Patients with Newly-Diagnosed Chronic Obstructive Pulmonary Disease: A Multicenter Prospective Study

Purpose

Inadequate inhaler technique and nonadherence to therapy are associated with poorer clinical outcomes in chronic obstructive pulmonary disease (COPD). Shared decision-making (SDM), based on clinical evidence, patient goals and preferences, improves quality of care. This study aims to investigate the initial patients’ choices of inhaler devices in patients with newly-diagnosed COPD after an SDM process.

Patients and Methods

We conducted a prospective, observational, multi-center study in four hospitals in Taiwan from December 2019 to July 2021. All treatment-naïve patients with newly-diagnosed COPD who were able to use three different inhalers of dual bronchodilators (Respimat^®, Ellipta^®, and Breezhaler^®) in the outpatient setting were enrolled. After an SDM process, every patient was prescribed with one inhaler chosen by him- or herself. Errors of using inhalers were recorded after prescription of the inhaler, and at the follow-up visit a month later. The patients’ adherence, satisfaction score, and willingness to keep the initially chosen inhaler were investigated.

Results

In 109 enrolled patients, 43, 45, and 21 patients chose Respimat^®, Ellipta^®, and Breezhaler^®, respectively. Patients chose different inhalers had similar rates of critical error on both visits, while the rates greatly decrease on the follow-up visit, no matter which inhaler devices they chose initially. The majority of patients had good adherence (use as the prescription daily, n = 79, 82%), satisfaction (satisfaction score ≥4, n = 70, 73%), and strong willingness to keep the initial inhaler (n = 89, 93%) on the follow-up visit regardless of disease severity and their comorbidities.

Conclusion

SDM might facilitate inhaler choosing, reduce inhaler errors (versus baseline) with good adherence, satisfaction and strong willingness to keep the initial inhaler in patients with newly-diagnosed COPD.

Suboptimal Peak Inspiratory Flow and Critical Inhalation Errors are Associated with Higher COPD-Related Healthcare Costs

Purpose

To assess the relationship between suboptimal Peak Inspiratory Flow (sPIF), inhalation technique errors, and non-adherence, with Healthcare Resource Utilisation (HCRU) in Chronic Obstructive Pulmonary Disease (COPD) patients receiving maintenance therapy via a Dry Powder Inhaler (DPI).

Patients and methods

The cross-sectional, multi-country PIFotal study included 1434 COPD patients (≥40 years) using a DPI for maintenance therapy. PIF was measured with the In-Check DIAL G16, and sPIF was defined as a typical PIF lower than required for the device. Inhalation technique was assessed by standardised evaluation of video recordings and grouped into 10 steps. Patients completed the “Test of Adherence to Inhalers” questionnaire. HCRU was operationalised as COPD-related costs for primary healthcare, secondary healthcare, medication, and total COPD-related costs in a 1-year period.

Results

Participants with sPIF had higher medication costs compared with those with optimal PIF (cost ratio [CR]: 1.07, 95% CI [1.01, 1.14]). Multiple inhalation technique errors were associated with increased HCRU. Specifically, “insufficient inspiratory effort” with higher secondary healthcare costs (CR: 2.20, 95% CI [1.37, 3.54]) and higher total COPD-related costs (CR: 1.16, 95% CI 1.03–1.31). “no breath-hold following the inhalation manoeuvre (<6 s)” with higher medication costs (CR: 1.08, 95% CI [1.02, 1.15]) and total COPD-related costs (CR 1.17, 95% CI [1.07, 1.28]), and “not breathing out calmly after inhalation” with higher medication costs (CR: 1.19, 95% CI [1.04, 1.37]). Non-adherence was not significantly associated with HCRU.

Conclusion

sPIF and inhalation technique errors were associated with higher COPD-related healthcare utilisation and costs in COPD patients on DPI maintenance therapy.

Investigating the Accuracy of the Digihaler, a New Electronic Multidose Dry-Powder Inhaler, in Measuring Inhalation Parameters

Background: The Digihaler^® is a Food and Drug Administration-approved, digital multidose dry powder inhaler with an integrated electronic module that provides patients and health care professionals with feedback on inhalation parameters, including usage, adherence, and technique. This study compared inhalation parameters measured using the Digihaler with readings made simultaneously using an inhalation profile recorder (IPR). Methods: This single-visit, open-label study enrolled children (4-17 years) and adults (18-55 years) with asthma, and adults (≥55 years) with chronic obstructive pulmonary disease (COPD). Participants made three separate inhalations using an empty Digihaler device, each measured simultaneously by the Digihaler and IPR. Inhalation profiles were downloaded from the devices at the end of the study. Inhalation parameters measured included peak inspiratory flow (PIF) and inhaled volume (inhV). The profile with the highest PIF and corresponding IPR profile were analyzed. Results: Overall, 150 participants were enrolled; inhalation data were available for 148 (50 children and 49 adults with asthma, and 49 with COPD). Mean (standard deviation [SD]) age was 39.1 (24.5) years; 51% of participants were male. Overall mean (SD) PIFs as measured by the Digihaler and IPR were 70.62 (17.73) L/min and 72.55 (19.42) L/min, respectively, with a mean percentage difference of -1.75% (95% confidence interval [CI]: -3.64 to 0.15). Mean percentage differences between the Digihaler and IPR measurements of PIF ranged from -2.97% among adults with COPD to 0.16% among children with asthma. Overall mean (SD) inhV for the Digihaler and IPR were 1.57 (0.69) L and 1.67 (0.73) L, respectively, with a mean percentage difference of -6.11 (95% CI: -8.08 to -4.13). There was a strong correlation between PIF and inhV measurements taken by the Digihaler and those taken by the IPR (Spearman's correlation coefficient = 0.96). Conclusions: Our findings confirm the ability of the Digihaler to provide accurate measurement of inhalation parameters when used by patients.

Factors associated with health status and exacerbations in COPD maintenance therapy with dry powder inhalers

The study aimed to determine the associations of Peak Inspiratory Flow (PIF), inhalation technique and adherence with health status and exacerbations in participants with COPD using DPI maintenance therapy. This cross-sectional multi-country observational real-world study included COPD participants aged ≥40 years using a DPI for maintenance therapy. PIF was measured three times with the In-Check DIAL G16: (1) typical PIF at resistance of participant’s inhaler, (2) maximal PIF at resistance of participant’s inhaler, (3) maximal PIF at low resistance. Suboptimal PIF (sPIF) was defined as PIF lower than required for the device. Participants completed questionnaires on health status (Clinical COPD Questionnaire (CCQ)), adherence (Test of Adherence to Inhalers (TAI)) and exacerbations. Inhalation technique was assessed by standardised evaluation of video recordings. Complete data were available from 1434 participants (50.1% female, mean age 69.2 years). GOLD stage was available for 801 participants: GOLD stage I (23.6%), II (54.9%), III (17.4%) and IV (4.1%)). Of all participants, 29% had a sPIF, and 16% were shown able to generate an optimal PIF but failed to do so. sPIF was significantly associated with worse health status (0.226 (95% CI 0.107–0.346), worse units on CCQ; p = 0.001). The errors ‘teeth and lips sealed around mouthpiece’, ‘breathe in’, and ‘breathe out calmly after inhalation’ were related to health status. Adherence was not associated with health status. After correcting for multiple testing, no significant association was found with moderate or severe exacerbations in the last 12 months. To conclude, sPIF is associated with poorer health status. This study demonstrates the importance of PIF assessment in DPI inhalation therapy. Healthcare professionals should consider selecting appropriate inhalers in cases of sPIF.

Current and Novel Treatment Options for OSA

Obstructive sleep apnoea is a challenging medical problem due to its prevalence, its impact on quality of life and performance in school and professionally, the implications for risk of accidents, and comorbidities and mortality. Current research has carved out a broad spectrum of clinical phenotypes and defined major pathophysiological components. These findings point to the concept of personalised therapy, oriented on both the distinct clinical presentation and the most relevant pathophysiology in the individual patient. This leads to questions of whether sufficient therapeutic options other than positive airway pressure (PAP) alone are available, for which patients they may be useful, if there are specific indications for single or combined treatment, and whether there is solid scientific evidence for recommendations. This review describes our knowledge on PAP and non-PAP therapies to address upper airway collapsibility, muscle responsiveness, arousability and respiratory drive. The spectrum is broad and heterogeneous, including technical and pharmaceutical options already in clinical use or at an advanced experimental stage. Although there is an obvious need for more research on single or combined therapies, the available data demonstrate the variety of effective options, which should replace the unidirectional focus on PAP therapy.

The analysis of individual pathophysiological composition opens new directions towards personalised treatment of OSA, focusing not only on pharyngeal dilation, but also on technical or pharmaceutical interventions on muscle function or breathing regulationhttps://bit.ly/3sayhkd

Electronic Inhaler Monitoring for Chronic Airway Disease: Development and Application of a Multidimensional Efficacy Framework

Inhaled therapy is the cornerstone of chronic airway disease therapy, but poor adherence to controller inhalers worsens clinical outcomes and increases cost. Monitoring of controller use is needed to improve adherence, and monitoring of reliever use can predict impending exacerbations. Both can be accurately achieved by electronic inhaler monitoring (EIM). However, evidence for EIM use in clinical practice is limited and varied, and knowledge gaps remain across different outcomes and health settings. We aimed to develop a framework to assess EIM systematically across all aspects of efficacy, apply this framework to the current literature, and identify gaps in efficacy to inform future development in the field. We adapted an existing framework for diagnostic tests, consisting of six levels of efficacy with ascending clinical relevance: technical, diagnostic accuracy, diagnostic thinking, therapeutic, patient outcome, and societal efficacy. Tailoring this framework to EIM, we incorporated expert feedback and applied it to the EIM efficacy literature. We found that EIM has good diagnostic accuracy, diagnostic thinking, and therapeutic efficacies, but evidence is lacking for specific aspects of technical, patient outcome, and societal efficacies. Further development of EIM requires improved reliability, usability, and data security for patients, and optimal integration with electronic medical records and overall patient care. Defining appropriate target patient groups and pairing EIM data with effective interventions, in conjunction with reducing costs through technological innovation and economies of scale, will enhance patient and societal outcome efficacies.

Duplicate Prescription Rates of Long-Acting Bronchodilator Inhalers

Background: Long-acting bronchodilator inhalers are widely used with or without inhaled corticosteroids (ICs) by patients with lung diseases. In Israel alone, there are 21 inhalers containing long-acting β2 agonists (LABAs) and/or long-acting muscarinic antagonists (LAMAs). Some patients are treated incorrectly with several inhalers of the same pharmacologic group. Methods: Electronic data of LABA and/or LAMA inhalers purchased during a period of 1 year were extracted in one district of Clalit Health Services in Israel. Patients who were treated with two or more inhalers from the same pharmacologic group were compared with patients without duplicate treatment. Inhaler purchases during the 12 months before and after the first duplicate purchase were compared with the purchases by patients without duplication of treatment. New diagnoses were compared to identify possible side effects. Results: Of the 13,528 patients who were treated with LABA and/or LAMA inhalers, 244 (1.8%) purchased at least two different inhalers from the same pharmacologic group. Inhaler purchases were 3.8 times higher in the duplication group during the 12 months before the first duplication. Inhaler purchase increased by 28% in the duplication group compared with a 4.5% increase in the nonduplication group (p < 0.001) during the following year. The risk for duplicated consumption was significantly higher in patients with a chronic obstructive pulmonary disease (COPD) diagnosis, males, and persons aged between 61 and 80 years. Conclusions: Nearly 2% of the patients treated with long-acting bronchodilators consumed different medications of the same pharmacologic group even when adherence was satisfactory. COPD patients are at higher risk for inhaler duplication. Clinical Trial Registration Number: 0151-20-COM1.

Differential Outcomes Following 4 Weeks of Aclidinium/Formoterol in Patients with COPD: A Reanalysis of the ACTIVATE Study

Rationale

It is difficult to predict the effects of long-acting bronchodilators (LABD) on lung function, exercise capacity and physical activity in patients with chronic obstructive pulmonary disease (COPD). Therefore, the multidimensional response to LABD was profiled in COPD patients participating in the ACTIVATE study and randomized to LABD.

Methods

In the ACTIVATE study, patients were randomized to aclidinium bromide/formoterol fumarate (AB/FF) or placebo for four weeks. The primary outcomes included (1) lung function as measured by functional residual capacity (FRC), residual volume (RV), and spirometric outcomes; (2) exercise performance as measured by a constant work rate cycle ergometry test (CWRT); and (3) physical activity (PA) using an activity monitor. Self-organizing maps (SOMs) were used to create an ordered representation of the patients who were randomly assigned to four weeks of AB/FF and cluster them into different outcome groups.

Results

A total of 250 patients were randomized to AB/FF (n = 126) or placebo (n = 124). Patients in the AB/FF group (39.6% women) had moderate-to-severe COPD, static hyperinflation (FRC: 151.4 (27.7)% predicted) and preserved exercise capacity. Six clusters with differential outcomes were identified. Patients in clusters 1 and 2 had significant improvements in lung function compared to the remaining AB/FF-treated patients. Patients in clusters 1 and 3 had significant improvements in CWRT time, and patients in clusters 2, 3 and 6 had significant improvements in PA compared to the remaining AB/FF-treated patients.

Conclusion

Individual responses to 4 weeks of AB/FF-treatment in COPD are differential and the degree of change differs across domains of lung function, exercise capacity and PA. These results indicate that clinical response to LABD therapy is difficult to predict and is non-linear, and show doctors that it is important to look at multiple outcomes simultaneously when evaluating the clinical response to LABD therapy.

Clinical Trial Registration

The original ACTIVATE study was registered on ClinicalTrials.gov, registration number NCT02424344.

How to Choose the Right Inhaler Using a Patient-Centric Approach?

There are many different inhaler devices and medications on the market for the treatment of asthma and chronic obstructive pulmonary disease, with over 230 drug-delivery system combinations available. However, despite the abundance of effective treatment options, the achieved disease control in clinical practice often remains unsatisfactory. In this context, a key determining factor is the match or mismatch of an inhalation device with the characteristics or needs of an individual patient. Indeed, to date, no ideal device exists that fits all patients, and a personalized approach needs to be considered. Several useful choice-guiding algorithms have been developed in the recent years to improve inhaler–patient matching, but a comprehensive tool that translates the multifactorial complexity of inhalation therapy into a user-friendly algorithm is still lacking. To address this, a multidisciplinary expert panel has developed an evidence-based practical treatment tool that allows a straightforward way of choosing the right inhaler for each patient.

The Effect of Connected "Smart" Inhalers on Medication Adherence

Asthma and chronic obstructive pulmonary disease (COPD) are highly prevalent worldwide, and major sources of morbidity. Key barriers to reduce the harm from these conditions are the widespread and related issues of low use of prescribed inhaled therapy, use of medicines differently from that prescribed, suboptimal inhaler technique, and lack of adherence are the action plans. Connected smart inhalers show great potential to improve these issues, and thus outcomes from airways disease. In this mini-review, we considered the published evidence that the use of smart inhalers leads to more doses of preventative treatment being taken on time and with appropriate techniques. We found multiple trials across a variety of settings and age groups where smart inhalers were used with audio-visual reminders and healthcare professional feedback, which substantially improved the number of doses of preventative treatment taken. Trial evidence also supports the use of feedback from smart inhalers in improving true concordance (doses taken correctly and on time), though only for a single type of smart device. The relative lack of study is in contrast with the potential impact of smart inhalers. Major research questions remain unresolved, as who might fund future large-scale studies, how guideline committees may consider them, and how to implement effective solutions.

Effectiveness of individualized inhaler technique training on low adherence (LowAd) in ambulatory patients with COPD and asthma

To analyze whether there is improvement in adherence to inhaled treatment in patients with COPD and asthma after an educational intervention based on the teach-to-goal method. This is a prospective, non-randomized, single-group study, with intervention and before-after evaluation. The study population included 120 patients (67 females and 53 males) diagnosed with asthma (70.8%) and COPD (29.1%). The level of adherence (low and optimal) and the noncompliance behavior pattern (erratic, deliberate and unwitting) were determined by the Test of the adherence to Inhalers (TAI). This questionnaire allows you to determine the level of adherence and the types of noncompliance. Low Adherence (LowAd) was defined as a score less than 49 points. All patients received individualized educational inhaler technique intervention (IEITI). Before the IEITI, 67.5% of the patients had LowAd. Following IEITI, on week 24, LowAd was 55% (p = 0.024). Each patient can present one or more types of noncompliance. The most frequent type was forgetting to use the inhaler (erratic), 65.8%. The other types were deliberate: 43.3%, and unwitting: 57.5%. All of them had decreased on the final visit: 51.7% (p = 0.009), 25.8% (p = 0.002), 39.2% (p = 0.002). There were no significant differences in adherence between asthma and COPD patients at the start of the study. The only predicting factor of LowAd was the female gender. An individualized educational intervention, in ambulatory patients with COPD and asthma, in real-world clinical practice conditions, improves adherence to the inhaled treatment.

Digital healthcare in COPD management: a narrative review on the advantages, pitfalls, and need for further research

Chronic obstructive pulmonary disease (COPD) remains a leading cause of morbidity and mortality despite current treatment strategies which focus on smoking cessation, pulmonary rehabilitation, and symptomatic relief. A focus of COPD care is to encourage self-management, particularly during COVID-19, where much face-to-face care has been reduced or ceased. Digital health solutions may offer affordable and scalable solutions to support COPD patient education and self-management, such solutions could improve clinical outcomes and expand service reach for limited additional cost. However, optimal ways to deliver digital medicine are still in development, and there are a number of important considerations for clinicians, commissioners, and patients to ensure successful implementation of digitally augmented care. In this narrative review, we discuss advantages, pitfalls, and future prospects of digital healthcare, which offer a variety of tools including self-management plans, education videos, inhaler training videos, feedback to patients and healthcare professionals (HCPs), exacerbation monitoring, and pulmonary rehabilitation. We discuss the key issues with sustaining patient and HCP engagement and limiting attrition of use, interoperability with devices, integration into healthcare systems, and ensuring inclusivity and accessibility. We explore the essential areas of research beyond determining safety and efficacy to understand the acceptability of digital healthcare solutions to patients, clinicians, and healthcare systems, and hence ways to improve this and sustain engagement. Finally, we explore the regulatory challenges to ensure quality and engagement and effective integration into current healthcare systems and care pathways, while maintaining patients’ autonomy and privacy. Understanding and addressing these issues and successful incorporation of an acceptable, simple, scalable, affordable, and future-proof digital solution into healthcare systems could help remodel global chronic disease management and fractured healthcare systems to provide best patient care and optimisation of healthcare resources to meet the global burden and unmet clinical need of COPD.

Novel Methods of Measuring Adherence Patterns Reveal Adherence Phenotypes with Distinct Asthma Outcomes

RATIONALE

Poor adherence with asthma controller medication contributes to worse symptom control and increased exacerbation risk. Adherence is often expressed as the mean proportion of prescribed doses taken over a period of 6-12 months. New metrics may capture individual day-to-day variability patterns linked with distinct clinical outcomes.

OBJECTIVES

To test the hypotheses that novel time- and dose-based adherence variability metrics offer independent value to mean adherence in identifying distinct adherence patterns, that are associated with symptom control (Asthma Control Test [ACT] score) and exacerbation risk, using electronically-recorded medication data from a 6-month cluster randomized trial examining the effect of inhaler reminders on adherence.

METHODS

Adherence metrics were calculated from the first two months (months 0-2) of the study period. In addition to mean adherence (%prescribed puffs/day taken, PTmean), we examined novel metrics including: time adherence area-under-curve (T-AUC), reflecting cumulative gaps in adherence over time, entropy (H), reflecting disorder in the ways in which a patient changed their medication dose adherence from day to day, and standard deviation of the %prescribed puffs/day taken (PTSD). Dominant metrics identified from factor analysis were included in hierarchical clustering analysis. We compared the resultant clusters in terms of outcomes over months 2-6, and exacerbation risk over the entire study period.

RESULTS

Two factors explained >65% of the total variance in adherence, primarily driven by T-AUC and H. Two main patient clusters based on their adherence metrics were identified: Cluster 1 ("high time adherence", n=75) had better T-AUC, i.e. fewer gaps between medication-taking days, than Cluster 2 ("low time adherence", n=23). Though both clusters had similar symptom control at 2 months, Cluster 1 showed less subsequent decline in ACT over months 2-6 (median(IQR) change in ACT score: 1(-1, 4) vs -2(-3.75,0.75); p=0.012), and had better symptom control at 6 months (ACT score: 20(17, 23) vs 17 (15, 20); p=0.034). There were no significant differences between the clusters in terms of proportion of exacerbators or time to exacerbation.

CONCLUSIONS

Novel metrics showed that low time adherence was associated with greater risk of decline in asthma symptom control. Adherence patterns may exhibit 'memory' relevant to future clinical status, warranting validation in a larger dataset.

Determining factors associated with inhaled therapy adherence on asthma and COPD: A systematic review and meta-analysis of the global literature

BACKGROUND

Adherence to therapy has been reported worldwide as a major problem, and that is particularly relevant on inhaled therapy for Asthma and Chronic Obstructive Pulmonary Disease (COPD), considering its barriers and features. We reviewed the global literature reporting the main determinants for adherence on these patients.

METHODS

Searches were made using the Cochrane Library, MEDLINE, EMBASE and ISI Web of Science databases. Analytical, observational and epidemiological studies (cohort, case-control and cross-sectional studies) were included, reporting association between any type of determinant and the adherence for inhaler therapy on Asthma or COPD. Random-effects meta-analysis were used to summarise the numerical effect estimates.

RESULTS

47 studies were included, including a total of 54.765 participants. In meta-analyses, the significant determinants of adherence to inhaled therapy were: older age [RR = 1.07 (1.03-1.10); I² = 94; p < 0.0001] good disease knowledge/literacy [RR = 1.37 (1.28-1.47); I² = 14; p = 0.33]; obesity [RR = 1.30 (1.12-1.50); I² = 0; p = 0.37]; good cognitive performance [RR = 1.28 (1.17-1.40); I² = 0; p = 0.62]; higher income [RR = 1.63 (1.05-2.56); I² = 0; p = 0.52]; being employed [RR = 0.87 (0.83-0.90); I² = 0; p = 0.76] and using multiple drugs/inhalers [RR = 0.81 (0.79-0.84); I² = 0; p = 0.80]. Overall, the strength of the underlying evidence was only low to moderate.

CONCLUSIONS

Many determinants may be associated to patient's adherence, and personalised interventions should be taken in clinical practice to address it by gaining an understanding of their individual features.

Impact of PIF, Inhalation Technique and Medication Adherence on Health Status and Exacerbations in COPD: Protocol of a Real-World Observational Study (PIFotal COPD Study)

INTRODUCTION

Dry powder inhalers (DPIs), a commonly prescribed inhaler type for respiratory diseases, require patients to generate sufficient peak inspiratory flow (PIF) to ensure optimal drug delivery to the airways. Effectiveness of therapy also requires a good inhalation technique and adequate medication adherence. For patients with chronic obstructive pulmonary disease (COPD), recent studies conducted in tertiary care suggest that DPI users with suboptimal PIF have poorer COPD-related health status and increased exacerbation risk versus those with optimal PIF. The PIFotal study will investigate the impact of PIF, inhalation technique and medication adherence on patient-reported outcomes in patients with COPD in primary care using a DPI for their maintenance therapy.

METHODS AND ANALYSIS

This cross-sectional observational study will assess 1200 patients (aged ≥ 40 years, diagnosed with COPD and using a DPI for COPD maintenance therapy for ≥ 3 months) from the Netherlands, Spain, Portugal, Poland, Greece and Australia. Assessments will consist of (1) PIF measurements (usual patient inhalation manoeuvre, maximal PIF against resistance of own inhaler, and maximal PIF against low resistance); (2) Clinical COPD Questionnaire (CCQ), COPD Assessment Test and Test of Adherence to Inhalers scores; and (3) video recordings of patient inhalation technique. Dependent variables include health status (CCQ score), number of self-reported exacerbations in previous 12 months, and healthcare resource utilisation in previous 6 months. Independent variables include PIF values, inhalation technique errors, medication adherence, and demographic and clinical characteristics. In the primary analysis, the mean difference in CCQ score between patients (1) with optimal/suboptimal PIF, (2) exhibiting/not exhibiting inhalation technique errors, and (3) adhering/not adhering to medication will be examined in a multivariable linear mixed model.

ETHICS

The study protocol was approved by ethics committees/institutional review boards of all participating sites prior to enrolment; written informed consent was obtained from all study participants.

TRIAL REGISTRATION NUMBER

ClinicalTrials.gov: NCT04532853.

Comparative educational outcomes of an active versus passive learning continuing professional development activity on self-management support for respiratory educators: A non-randomized controlled mixed-methods study

AIM

We compared educational outcomes associated with an active vs. passive continuing professional development activity on self-management support for respiratory educators.

BACKGROUND

There is a need to identify learning activities associated with the most successful continuing professional development programs for respiratory educators.

DESIGN

This was a non-randomized controlled mixed-methods study recruiting respiratory educators attending a continuing professional development activity on self-management support.

METHODS

In the experimental group, active learning methods (role-play simulations) were employed, whereas passive learning methods (lecture) were used in the comparison group. Educators were allocated to the comparison group (first 15 months of the study), then to the experimental group (last 17 months). Educators filled questionnaires measuring pre-/post-activity knowledge about self-management support (score 0-25) and self-reported competence (score 1-10). Scores were compared using mixed-effect models. Interviews with educators were conducted and content analysis was performed.

RESULTS

We recruited 94/94 educators (active: n = 51; passive: n = 43). Knowledge scores increased to a greater extent in the active vs. passive learning group (adjusted difference-in-difference [aDID]=2.01; 95% confidence interval [95%CI]: 0.14-3.88), although competence scores increased to a greater extent in the passive learning group (aDID=-0.38; 95%CI: -1.56 to -0.04). Reflecting on their competence, educators of the active learning group identified the need to further improve their self-management support skills, whereas educators of the passive learning group did not.

CONCLUSIONS

Our results show that an active learning continuing professional development activity on self-management support could help educators to better apply knowledge and appears to engage them in a process of reflection on action.

TRONARTO: A Randomized, Placebo-Controlled Study of Tiotropium/Olodaterol Delivered via Soft Mist Inhaler in COPD Patients Stratified by Peak Inspiratory Flow

Background

Inhaled bronchodilator therapy is currently the mainstay of treatment for patients with chronic obstructive pulmonary disease (COPD). Some inhalers require patients to achieve certain inhalation efforts either to activate the device or to deliver medication to the site of action. For dry powder inhalers, low peak inspiratory flow (PIF) can result in poor medication delivery but the clinical significance of this is not well understood.

Methods

TRONARTO was a 4-week, randomized, double-blind, placebo-controlled, multicenter, parallel-group study which stratified patients with moderate-to-severe COPD according to their PIF against medium-low resistance at screening. Patients were randomized to receive tiotropium/olodaterol (5 μg/5 μg) or matched placebo delivered via the Respimat^® Soft Mist™ inhaler (SMI). After 4 weeks of treatment, we assessed change from baseline in forced expiratory volume in 1 second (FEV₁) area under the curve 0–3 hours (FEV₁ AUC_0–3h) and trough FEV₁.

Results

Overall, 213 patients were randomized, of whom 106 received tiotropium/olodaterol (PIF <60 L/min, 55; PIF ≥60 L/min, 51) and 107 received placebo (PIF <60 L/min, 55; PIF ≥60 L/min, 52). For FEV₁ AUC_0–3h, the adjusted mean change from baseline versus placebo was 336 mL (95% confidence interval [CI] 246–425 mL; P<0.0001) in the PIF <60 L/min group and 321 mL (95% CI 233–409 mL; P<0.0001) in the PIF ≥60 L/min group. For trough FEV₁, the adjusted mean change from baseline versus placebo was 201 mL (95% CI 117–286 mL; P<0.0001) in the PIF <60 L/min group and 217 mL (95% CI 135–299 mL; P<0.0001) in the PIF ≥60 L/min group.

Conclusion

In the TRONARTO study, which included patients with moderate-to-severe COPD and varying inspiratory flow abilities, treatment with tiotropium/olodaterol resulted in significant lung function improvements versus placebo. This SMI can be used irrespective of the PIF that a patient can generate.

Dry Powder Inhalers in the Digitalization Era: Current Status and Future Perspectives

During the last decades, the term "drug delivery systems" (DDSs) has almost fully replaced previously used terms, such as "dosage forms", in an attempt to emphasize the importance of the drug carrier in ensuring the claimed safety and effectiveness of the product. However, particularly in the case of delivery devices, the term "system", which by definition implies a profound knowledge of each single part and their interactions, is not always fully justified when using the DDS term. Within this context, dry powder inhalers (DPIs), as systems to deliver drugs via inhalation to the lungs, require a deep understanding of the complex formulation-device-patient interplay. As of now and despite the progress made in particle engineering and devices design, DPIs' clinical performance is limited by variable patients' breathing patterns. To circumvent this pitfall, next-generation DPIs should ideally adapt to the different respiratory capacity of individuals across age, health conditions, and other related factors. In this context, the recent wave of digitalization in the health care and industrial sectors may drive DPI technology towards addressing a personalized device-formulation-patient liaison. In this review, evolving technologies are explored and analyzed to outline the progress made as well as the gaps to fill to align novel DPIs technologies with the systems theory approach.

Interventions to improve adherence to pharmacological therapy for chronic obstructive pulmonary disease (COPD)

BACKGROUND

Chronic obstructive pulmonary disease (COPD) is a chronic lung condition characterised by persistent respiratory symptoms and limited lung airflow, dyspnoea and recurrent exacerbations. Suboptimal therapy or non-adherence may result in limited effectiveness of pharmacological treatments and subsequently poor health outcomes.

OBJECTIVES

To determine the efficacy and safety of interventions intended to improve adherence to single or combined pharmacological treatments compared with usual care or interventions that are not intended to improve adherence in people with COPD.

SEARCH METHODS

We identified randomised controlled trials (RCTs) from the Cochrane Airways Trials Register, CENTRAL, MEDLINE and Embase (search date 1 May 2020). We also searched web-based clinical trial registers.

SELECTION CRITERIA

RCTs included adults with COPD diagnosed by established criteria (e.g. Global Initiative for Obstructive Lung Disease). Interventions included change to pharmacological treatment regimens, adherence aids, education, behavioural or psychological interventions (e.g. cognitive behavioural therapy), communication or follow-up by a health professional (e.g. telephone, text message or face-to-face), multi-component interventions, and interventions to improve inhaler technique.

DATA COLLECTION AND ANALYSIS

We used standard Cochrane methodological procedures. Working in pairs, four review authors independently selected trials for inclusion, extracted data and assessed risk of bias. We assessed confidence in the evidence for each primary outcome using GRADE. Primary outcomes were adherence, quality of life and hospital service utilisation. Adherence measures included the Adherence among Patients with Chronic Disease questionnaire (APCD). Quality of life measures included the St George's Respiratory Questionnaire (SGRQ), COPD Assessment Test (CAT) and Clinical COPD Questionnaire (CCQ).

MAIN RESULTS

We included 14 trials (2191 participants) in the analysis with follow-up ranging from six to 52 weeks. Age ranged from 54 to 75 years, and COPD severity ranged from mild to very severe. Trials were conducted in the USA, Spain, Germany, Japan, Jordan, Northern Ireland, Iran, South Korea, China and Belgium. Risk of bias was high due to lack of blinding. Evidence certainty was downgraded due to imprecision and small participant numbers. Single component interventions Six studies (55 to 212 participants) reported single component interventions including changes to pharmacological treatment (different roflumilast doses or different inhaler types), adherence aids (Bluetooth inhaler reminder device), educational (comprehensive verbal instruction), behavioural or psychological (motivational interview). Change in dose of roflumilast may result in little to no difference in adherence (odds ratio (OR) 0.67, 95% confidence interval (CI) 0.22 to 1.99; studies = 1, participants = 55; low certainty). A Bluetooth inhaler reminder device did not improve adherence, but comprehensive verbal instruction from a health professional did improve mean adherence (prescription refills) (mean difference (MD) 1.00, 95% CI 0.46 to 1.54). Motivational interview improved mean adherence scores on the APCD scale (MD 22.22, 95% CI 8.42 to 36.02). Use of a single inhaler compared to two separate inhalers may have little to no impact on quality of life (SGRQ; MD 0.80, 95% CI -3.12 to 4.72; very low certainty). A Bluetooth inhaler monitoring device may provide a small improvement in quality of life on the CCQ (MD 0.40, 95% CI 0.07 to 0.73; very low certainty). Single inhaler use may have little to no impact on the number of people admitted to hospital compared to two separate inhalers (OR 1.47, 95% CI 0.75 to 2.90; very low certainty). Single component interventions may have little to no impact on the number of people expereincing adverse events (very low certainty evidence from studies of a change in pharmacotherapy or use of adherence aids). A change in pharmacotherapy may have little to no impact on exacerbations or deaths (very low certainty). Multi-component interventions Eight studies (30 to 734 participants) reported multi-component interventions including tailored care package that included adherence support as a key component or included inhaler technique as a component. A multi-component intervention may result in more people adhering to pharmacotherapy compared to control at 40.5 weeks (risk ratio (RR) 1.37, 95% CI 1.18 to 1.59; studies = 4, participants = 446; I² = 0%; low certainty). There may be little to no impact on quality of life (SGRQ, Chronic Respiratory Disease Questionnaire, CAT) (studies = 3; low to very low certainty). Multi-component interventions may help to reduce the number of people admitted to hospital for any cause (OR 0.37, 95% CI 0.22 to 0.63; studies = 2, participants = 877; low certainty), or COPD-related hospitalisations (OR 0.15, 95% CI 0.07 to 0.34; studies = 2, participants = 220; moderate certainty). There may be a small benefit on people experiencing severe exacerbations. There may be little to no effect on adverse events, serious adverse events or deaths, but events were infrequently reported and were rare (low to very certainty).

AUTHORS' CONCLUSIONS

Single component interventions (e.g. education or motivational interviewing provided by a health professional) can help to improve adherence to pharmacotherapy (low to very low certainty). There were slight improvements in quality of life with a Bluetooth inhaler device, but evidence is from one study and very low certainty. Change to pharmacotherapy (e.g. single inhaler instead of two, or different doses of roflumilast) has little impact on hospitalisations or exacerbations (very low certainty). There is no difference in people experiencing adverse events (all-cause or COPD-related), or deaths (very low certainty). Multi-component interventions may improve adherence with education, motivational or behavioural components delivered by health professionals (low certainty). There is little to no impact on quality of life (low to very low certainty). They may help reduce the number of people admitted to hospital overall (specifically pharmacist-led approaches) (low certainty), and fewer people may have COPD-related hospital admissions (moderately certainty). There may be a small reduction in people experiencing severe exacerbations, but evidence is from one study (low certainty). Limited evidence found no difference in people experiencing adverse events, serious adverse events or deaths (low to very low certainty). The evidence presented should be interpreted with caution. Larger studies with more intervention types, especially single interventions, are needed. It is unclear which specific COPD subgroups would benefit, therefore discussions between health professionals and patients may help to determine whether they will help to improve health outcomes.

Inhaler technique in asthma and COPD: challenges and unmet knowledge that can contribute to suboptimal use in real life

Introduction: Inhalers are the most commonly used devices for lung drug delivery in asthma and COPD. Inhaler use offers several advantages but requires the user's proper mastery. The issue of inhaler technique is very important as inhaler misuse remains common in real life regardless of the inhaler used and is associated with poor disease control.Areas covered:This narrative review analyses the key-steps of inhaler mastery and the significance of the errors of use for the main devices. There are uncertainties on many tasks of inhaler use and on those variations from recommended steps that are considered as critical errors.Expert opinion: Despite technological advancements, an easy-to-use device is not yet available. Whatever the chosen inhaler, health care givers' proper practical education with the opportunity of feedback learning has a key-role for improving inhaler technique, but is time-consuming, and remains limited to few successful experiences. Newer digital technologies will be applied to the field of inhaler education, but the lack of knowledge on many practical aspects of inhaler technique might be a limit for its extensive implementation. Possibly digital innovation might substantially contribute to reduce inhaler misuse only if clinicians, manufacturers, and subjects will cooperate together on this issue.

Digital Inhalers for Asthma or Chronic Obstructive Pulmonary Disease: A Scientific Perspective

Impressive advances in inhalation therapy for patients with asthma and chronic obstructive pulmonary disease (COPD) have occurred in recent years. However, important gaps in care remain, particularly relating to poor adherence to inhaled therapies. Digital inhaler health platforms which incorporate digital inhalers to monitor time and date of dosing are an effective disease and medication management tool, promoting collaborative care between clinicians and patients, and providing more in-depth understanding of actual inhaler use. With advances in technology, nearly all inhalers can be digitalized with add-on or embedded sensors to record and transmit data quantitating inhaler actuations, and some have additional capabilities to evaluate inhaler technique. In addition to providing an objective and readily available measure of adherence, they allow patients to interact with the device directly or through their self-management smartphone application such as via alerts and recording of health status. Clinicians can access these data remotely and during patient encounters, to better inform them about disease status and medication adherence and inhaler technique. The ability for remote patient monitoring is accelerating interest in and the use of these devices in clinical practice and research settings. More than 20 clinical studies of digital inhalers in asthma or COPD collectively show improvement in medication adherence, exacerbation risk, and patient outcomes with digital inhalers. These studies support previous findings about patient inhaler use and behaviors, but with greater granularity, and reveal some new findings about patient medication-taking behaviors. Digital devices that record inspiratory flows with inhaler use can guide proper inhaler technique and may prove to be a clinically useful lung function measure. Adoption of digital inhalers into practice is still early, and additional research is needed to determine patient and clinician acceptability, the appropriate place of these devices in the therapeutic regimen, and their cost effectiveness.

Improving adherence in chronic airways disease: are we doing it wrongly?

Non-adherence to medicines is a significant clinical and financial burden, but successful strategies to improve it, and thus bring about significant improvements in clinical outcome, remain elusive. Many barriers exist, including a lack of awareness amongst some healthcare professionals as to the extent and impact of non-adherence and a dearth of skills to address it successfully. Patients may not appreciate that they are non-adherent, feel they cannot disclose it or underestimate its impact on their health in the short and longer term. In describing the evidence-based frameworks that identify the causal factors behind medicines taking (or not taking) behaviours, we can start to personalise interventions to enable individuals to make informed decisions about their treatments and thus overcome real and perceived barriers to adherence.

Medicines non-adherence is common and associated with significant morbidity and mortality. @GrainnedAn and colleagues outline causal factors behind this behaviour and the appropriate individualised interventions available to support optimal medicines use.https://bit.ly/3ejJNTV

Measuring adherence to therapy in airways disease

Non-adherence to medication is one of the most significant issues in all airways disease and can have a major impact on disease control as well as on unscheduled healthcare utilisation. It is vital that clinicians can accurately determine a patient's level of adherence in order to ensure they are gaining the maximal benefit from their therapy and also to avoid any potential for unnecessary increases in therapy. It is essential that measurements of adherence are interpreted alongside biomarkers of mechanistic pathways to identify if improvements in medication adherence can influence disease control. In this review, the most common methods of measuring adherence are discussed. These include patient self-report, prescription record checks, canister weighing, dose counting, monitoring drug levels and electronic monitoring. We describe the uses and benefits of each method as well as potential shortcomings. The practical use of adherence measures with measurable markers of disease control is also discussed.

Educational aims

To understand the various methods available to measure adherence in airways disease.To learn how to apply these adherence measures in conjunction with clinical biomarkers in routine clinical care.

Serum Inhaled Corticosteroid Detection for Monitoring Adherence in Severe Asthma

BACKGROUND

Daily inhaled corticosteroids (ICSs) are fundamental to asthma management, but adherence is low.

OBJECTIVES

To investigate (1) whether LC-MS/MS could be used to detect ICSs in serum and (2) whether serum levels related to markers of disease severity.

METHODS

We collected blood samples over an 8-hour period from patients with severe asthma prescribed at least 1000 μg daily of beclomethasone dipropionate equivalent. Following baseline sampling, patients were observed taking their usual morning dose. Subsequent blood samples were obtained 1, 2, 4, and 8 hours postinhalation and analyzed by LC-MS/MS. Correlations between serum ICS levels and severity markers were investigated.

RESULTS

A total of 60 patients were recruited (41 females; 39 prescribed maintenance prednisolone; mean age, 49 ± 12 years; FEV₁, 63 ± 20 %predicted). Eight hours postinhalation, all patients using budesonide (n = 10) and beclomethasone dipropionate (15), and all but 1 using fluticasone propionate (28), had detectable serum drug levels. Fluticasone furorate was detected in 2 patients (of 4), ciclesonide in none (of 7). Low adherence by repeat prescription records (<80%) was identified in 43%. Blood ICS levels correlated negatively with exacerbation rate, and (for fluticasone propionate only) positively with FEV₁ %predicted.

CONCLUSIONS

Commonly used ICSs can be reliably detected in the blood at least 8 hours after dosing, and could therefore be used as a measure of adherence in severe asthma. Higher exacerbation rates and poorer lung function (for fluticasone propionate) were associated with lower blood levels.

Global burden of medication non-adherence in chronic obstructive pulmonary disease (COPD) and asthma: a narrative review of the clinical and economic case for smart inhalers

Medication non-adherence to asthma and chronic obstructive pulmonary disease therapy poses a significant burden for patients and societies. Non-adherence encompasses poor initiation, implementation (including poor inhalation technique) and non-persistence. Globally, non-adherence is associated with poor clinical outcomes, reduced quality of life and high healthcare and societal costs. Costs are mainly caused by excess hospitalizations and impaired work productivity. Multiple intervention programs to increase adherence in patients with asthma and chronic obstructive pulmonary disease have been conducted. However, these intervention programs are generally not as effective as intended. Additionally, adherence outcomes are mostly examined with non-objective or non-granular measures (e.g., self-report, dose count, pharmacy records). Recently developed smart inhalers could be the key to objectively diagnose and manage non-adherence effectively in patients with asthma and chronic obstructive pulmonary disease. Smart inhalers register usage of the inhaler, record time and date, send reminders, give feedback about adherence and some are able to assess inhaler technique and predict exacerbations. Still, some limitations need to be overcome before smart inhalers can be incorporated in usual care. For example, their cost-effectiveness and budget impact need to be examined. It is likely that smart inhalers are particularly cost-effective in specific asthma and chronic obstructive pulmonary disease subgroups, including patients with asthma eligible for additional GINA-5 therapy (oral corticosteroids or biologics), patients with severe asthma in GINA-5, patients with asthma with short-acting beta2 agonists overuse, patients with asthma and chronic obstructive pulmonary disease with frequent exacerbations and patients with asthma and chronic obstructive pulmonary disease of working-age. While there is high potential and evidence is accumulating, a final push seems needed to cost-effectively integrate smart inhalers in the daily management of patients with asthma and chronic obstructive pulmonary disease.

Asthma and Chronic Obstructive Pulmonary Disease as a Comorbidity and Association with the Choice of Antidementia Medication Among Persons with Alzheimer's Disease

BACKGROUND

Asthma and chronic obstructive pulmonary disease (COPD) are common comorbidities in persons with Alzheimer's disease (AD). However, pharmacotherapy of these diseases may have opposite mechanisms of action; anticholinergics in asthma/COPD and acetylcholinesterase inhibitors (AChEI) in AD.

OBJECTIVE

To investigate whether existing asthma/COPD affects the choice of AD medication, and the survival of the patients with AD.

METHODS

In this retrospective cohort study, data from the MEDALZ-study, which includes all community-dwelling persons with AD during 2005-2011 in Finland (n = 70718) was utilized. Persons with asthma/COPD (N = 7211) were defined as having a special reimbursement for asthma/COPD, or long-term use (≥250 days) of inhaled anticholinergics, inhaled corticosteroids, or leukotriene antagonists during the year before AD diagnosis. We compared persons with and without asthma/COPD regarding the choice of the initial antidementia medication (AChEI versus memantine) with logistic regression and mortality with Cox regression model during the follow-up (up to end of 2015).

RESULTS

Memantine was favored over AChEIs as first-line treatment to AD in persons with asthma/COPD compared to those without asthma/COPD (odds ratio 1.23, 95% confidence interval (CI) 1.15-1.31). Memantine was also more commonly used among those who used multiple asthma/COPD medications (7.9% of memantine initiators used ≥3 asthma/COPD medications compared with 5.5% of those who initiated with AChEI). Mortality was higher in persons with asthma/COPD compared to those without asthma/COPD (adjusted hazard ratio 1.10, 95% CI 1.07-1.13).

CONCLUSION

More frequent use of memantine instead of AChEI may result from an attempt to prevent possible worsening of asthma/COPD by AChEIs. Vulnerable persons with both AD and asthma/COPD need individually assessed pharmacotherapy for their medical conditions.