Faculty Bibliography

Hundreds of millions of people worldwide have asthma and COPD. Current medications to control these chronic respiratory diseases can be administered using inhaler devices, such as the pressurized metered dose inhaler and the dry powder inhaler. Provided that they are used as prescribed, inhalers can improve patient clinical outcomes and quality of life. Poor patient inhaler adherence (both time of use and user technique) is, however, a major clinical concern and is associated with poor disease control, increased hospital admissions, and increased mortality rates, particularly in low- and middle-income countries. There are currently limited methods available to health-care professionals to objectively and remotely monitor patient inhaler adherence. This review describes recent sensor-based technologies that use audio-based approaches that show promising opportunities for monitoring inhaler adherence in clinical practice. This review discusses how one form of sensor-based technology, audio-based monitoring systems, can provide clinically pertinent information regarding patient inhaler use over the course of treatment. Audio-based monitoring can provide health-care professionals with quantitative measurements of the drug delivery of inhalers, signifying a clear clinical advantage over other methods of assessment. Furthermore, objective audio-based adherence measures can improve the predictability of patient outcomes to treatment compared with current standard methods of adherence assessment used in clinical practice. Objective feedback on patient inhaler adherence can be used to personalize treatment to the patient, which may enhance precision medicine in the treatment of chronic respiratory diseases.

In severe asthma, poor control could reflect issues of medication adherence or inhaler technique, or that the condition is refractory. This study aimed to determine if an intervention with (bio)feedback on the features of inhaler use would identify refractory asthma and enhance inhaler technique and adherence.Patients with severe uncontrolled asthma were subjected to a stratified-by-site random block design. The intensive education group received repeated training in inhaler use, adherence and disease management. The intervention group received the same intervention, enhanced by (bio)feedback-guided training. The primary outcome was rate of actual inhaler adherence. Secondary outcomes included a pre-defined assessment of clinical outcome. Outcome assessors were blinded to group allocation. Data were analysed on an intention-to-treat and per-protocol basis.The mean rate of adherence during the third month in the (bio)feedback group (n=111) was higher than that in the enhanced education group (intention-to-treat, n=107; 73% versus 63%; 95% CI 2.8%-17.6%; p=0.02). By the end of the study, asthma was either stable or improved in 54 patients (38%); uncontrolled, but poorly adherent in 52 (35%); and uncontrolled, but adherent in 40 (27%).Repeated feedback significantly improved inhaler adherence. After a programme of adherence and inhaler technique assessment, only 40 patients (27%) were refractory and adherent, and might therefore need add-on therapy.

OBJECTIVE:We derive a novel model-based metric for effective adherence to medication, and validate it using data from the INhaler Compliance Assessment device (INCATM). This technique employs dose timing data to estimate the threshold drug concentration needed to maintain optimal health. METHODS:The parameters of the model are optimised against patient outcome data using maximum likelihood methods. The model is fitted and validated by secondary analysis of two independent datasets from two remote-monitoring studies of adherence, conducted through clinical research centres of 5 Irish hospitals. Training data came from a cohort of asthma patients (~ 47,000 samples from 218 patients). Validation data is from a cohort of 204 patients with COPD recorded between 2014 and 2016. RESULTS:The time above threshold measure is strongly predictive of adverse events (exacerbations) in COPD patients (Odds Ratio of exacerbation = 0.52 per SD increase in adherence, 95% Confidence Interval [0.34-0.79]). This compares well with the best known previous method, the Area Under the dose-time Curve (AUC) (Odds Ratio = 0.69, 95% Confidence Interval [0.48-0.99]). In addition, the fitted value of the dose threshold (0.56 of prescribed dosage) suggests that prescribed doses may be unnecessarily high given good adherence. CONCLUSIONS:The resulting metric accounts for missed doses, dose-timing errors, and errors in inhaler technique, and provides enhanced predictive validity in comparison to previously used measures. In addition, the method allows us to estimate the correct dosage required to achieve the effect of the medication using the patients' own adherence data and outcomes. The adherence score does depend not on sex or other demographic factors suggesting that effective adherence is driven by individual behavioural factors.

OBJECTIVE:), a novel audio-recording device objectively measuring timing and proficiency of inhaler use, against established adherence measures, and explore its discriminant and predictive validity. DESIGN/METHODS:-enabled salmeterol/fluticasone inhaler for one-month post-hospital discharge. MAIN OUTCOME MEASURES/METHODS:(Attempted, Attempted Interval, Actual) adherence correlated with Doses Used Rate, self-reported adherence and prescription refill for concurrent validity. Discriminant validity for reason for admission, cognition and lung function; predictive validity for health status and quality-of-life. RESULTS:adherence. Attempted and Attempted Interval predicted health status, while Doses Used Rate predicted quality-of-life. CONCLUSION/CONCLUSIONS:as a method to identify intentional and unintentional adherence to inhaled medication and facilitate targeted intervention.

BACKGROUND:Researchers, using checklists, have identified that 30%-90% of patients make errors in inhaler use. It is not certain whether these errors affect the delivery of medication. We have developed an electronic monitor (INCAâ„¢) that records audio each time an inhaler is used, providing objective information on inhaler technique. The aim of this study was to assess the effect that correctly identified inhaler errors, with the INCA device, have on drug delivery. METHODS:This was a prospective study of healthy volunteers using a salbutamol Diskusâ„¢. The inclusion criteria allowed for the recruitment of healthy participants who were nonfrequent users of Salbutamol. Each participant was assigned to one control "phase" first and two/three subsequent error "phases." Each phase consisted of six doses of the drug taken 6 hours apart, and the participants' blood was drawn before and 25 minutes after doses one and six. This allowed us to sample their trough and peak serum salbutamol levels. RESULTS:Fourteen healthy volunteers were studied. The inhaler technique errors simulated in this study included exhaling into the device after drug priming but before inhalation, low inspiratory flow, multiple inhalations, low breath hold, missed doses, and wrong inhaler position. Only the exhalation error, low inspiratory flow, and missed doses led to a significant reduction in serum salbutamol levels. After six doses of the exhalation error, there was a 62% reduction in peak salbutamol levels. Low inspiratory flow led to a 52% reduction in peak salbutamol levels and a 78% reduction in trough levels. Missed doses led to a 37% reduction in trough salbutamol levels. CONCLUSIONS:These findings confirm that technique errors affect drug delivery. Furthermore, we were able to identify that the most critical technique errors with the Diskus inhaler are exhalation into the device before inhalation, poor inspiratory flow, and missing doses.

OBJECTIVES/OBJECTIVE:among patients with chronic obstructive pulmonary disease (COPD) who currently receive the 23-valent pneumococcal polysaccharide vaccine (PPV-23) according to vaccination status, use of antibiotics and steroids. To investigate the prevalence of PPV-23 and 13-valent pneumococcal conjugate vaccine (PCV-13) serotypes within the study cohort. DESIGN/METHODS:A non-interventional, observational, prospective cohort study with a 12 -month follow-up period inclusive of quarterly study visits. SETTING/METHODS:Beaumont Hospital and The Royal College of Surgeons in Ireland Clinical Research Centre, Dublin, Ireland. PARTICIPANTS/METHODS:Patients with an established diagnosis of COPD attending a tertiary medical centre. PRIMARY OUTCOME MEASURE/METHODS:. SECONDARY OUTCOME MEASURE/UNASSIGNED:and its relationship with the incidence of exacerbations of COPD. RESULTS:fluctuated over the four seasons with a peak of 6.6% in spring and the lowest rate of 2.2% occurring during winter. Antibiotic use was highest during periods of low colonisation. CONCLUSIONS:colonisation among patients with COPD which may reflect antibiotic use in autumn and winter. The predominance of non-vaccine types suggests that PCV-13 may have limited impact among patients with COPD in Ireland who currently receive PPV-23. TRIAL REGISTRATION NUMBER/BACKGROUND:NCT02535546; post-results.

INTRODUCTION:Many patients with asthma remain poorly controlled despite the use of inhaled corticosteroids and long-acting beta agonists. Poor control may arise from inadequate adherence, incorrect inhaler technique or because the condition is refractory. Without having an objective assessment of adherence, clinicians may inadvertently add extra medication instead of addressing adherence. This study aims to assess if incorporating objectively recorded adherence from the Inhaler Compliance Assessment (INCA) device and lung function into clinical decision making provides more cost-effective prescribing and improves outcomes. METHODS AND ANALYSIS:This prospective, randomised, multicentre study will compare the impact of using information on adherence to influence asthma treatment. Patients with severe uncontrolled asthma will be included. Data on adherence, inhaler technique and electronically recorded peak expiratory flow rate will be used to promote adherence and guide a clinical decision protocol to guide management in the active group. The control group will receive standard inhaler and adherence education. Medications will be adjusted using a protocol based on Global Initiativefor Asthma (GINA) recommendations. The primary outcome is the between-group difference in the proportion of patients who have refractory disease and are prescribed appropriate medications at the end of 32 weeks. A co-primary outcome is the difference between groups in the rate of adherence to salmeterol/fluticasone inhaler over the last 12 weeks. Secondary outcomes include changes in symptoms, lung function, type-2 cytokine biomarkers and clinical outcomes between both groups. Cost-effectiveness and cost-utility analyses of the INCA device intervention will be performed. The economic impact of a national implementation of the INCA-SUN programme will be evaluated. ETHICS AND DISSEMINATION:The results of the study will be published as a manuscript in peer-reviewed journals. The study has been approved by the ethics committees in the five participating hospitals. TRIAL REGISTRATION:NCT02307669; Pre-results.

RATIONALE:Objective adherence to inhaled therapy by patients with chronic obstructive pulmonary disease (COPD) has not been reported. OBJECTIVES:To objectively quantify adherence to preventer Diskus inhaler therapy by patients with COPD with an electronic audio recording device (INCA). METHODS:This was a prospective observational study. On discharge from hospital patients were given a salmeterol/fluticasone inhaler with an INCA device attached. Analysis of this audio quantified the frequency and proficiency of inhaler use. MEASUREMENTS AND MAIN RESULTS:was 1.3 L, and 59% had evidence of mild/moderate cognitive impairment. By combining time of use, interval between doses, and critical technique errors, thus incorporating both intentional and unintentional nonadherence, a measure "actual adherence" was calculated. Mean actual adherence was 22.6% of that expected if the doses were taken correctly and on time. Six percent had an actual adherence greater than 80%. Hierarchical clustering found three equally sized well-separated clusters corresponding to distinct patterns. Cluster 1 (34%) had low inhaler use and high error rates. Cluster 2 (25%) had high inhaler use and high error rates. Cluster 3 (36%) had overall good adherence. Poor lung function and comorbidities were predictive of poor technique, whereas age and cognition with poor lung function distinguished those with poor adherence and frequent errors in technique. CONCLUSIONS:These data may inform clinicians in understanding why a prescribed inhaler is not effective and to devise strategies to promote adherence in COPD.

RATIONALE:Currently, studies on adherence to inhaled medications report average adherence over time. This measure does not account for variations in the interval between doses, nor for errors in inhaler use. OBJECTIVES:To investigate whether adherence calculated as a single area under the (concentration-time) curve (AUC) measure, incorporating the interval between doses and inhaler technique, was more reflective of patient outcomes than were current methods of assessing adherence. METHODS:We attached a digital audio device (INhaler Compliance Assessment) to a dry powder inhaler. This recorded when the inhaler was used, and analysis of the audio data indicated if the inhaler had been used correctly. These aspects of inhaler use were combined to calculate adherence over time, as an AUC measure. Over a 3-month period, a cohort of patients with asthma was studied. Adherence to a twice-daily inhaler preventer therapy using this device and clinical measures were assessed. MEASUREMENTS AND MAIN RESULTS:Recordings from 239 patients with severe asthma were analyzed. Average adherence that was based on the dose counter was 84.4%, whereas the ratio of expected to observed accumulated AUC, actual adherence, was 61.8% (P < 0.01). Of all the adherence measures, only adherence calculated as AUC reflected changes in asthma quality of life, β-agonist reliever use, and peak expiratory flow over the 3 months (P < 0.05 compared with other measures of adherence). CONCLUSIONS:Adherence that incorporates the interval between doses and inhaler technique, and calculated as AUC, is more reflective of changes in quality of life and lung function than are the currently used measures of adherence. Clinical trial registered with www.clinicaltrials.gov (NCT 01529697).

BACKGROUND:One-third of patients with an exacerbation of Chronic Obstructive Pulmonary Disease(COPD) are re-hospitalised at 90 days. Exacerbation recovery is associated with reductions in lung hyperinflation and improvements in symptoms and physical activity. We assessed the feasibility of monitoring these clinical parameters in the home. We hypothesised that the degree of change in spirometry and lung volumes differs between those who had an uneventful recovery and those who experienced a further exacerbation. METHODS:Hospitalised patients with an acute exacerbation of COPD referred for a supported discharge program participated in the study. Spirometry and Inspiratory Vital Capacity(IVC) were measured in the home at Days 1, 14 and 42 post-discharge. Patients also completed Medical Research Council(MRC), Borg and COPD Assessment Test(CAT) scores and were provided with a tri-axial accelerometer. Any new exacerbation events were recorded. RESULTS:≥100 ml(AUROC 0.6613) and mean daily step count ≥396 steps(AUROC 0.6381) predictive of recovery. CONCLUSION:Monitoring the pattern of improvement in spirometry, lung volumes, symptoms and step count following a COPD exacerbation may help to identify patients at risk of re-exacerbation. It is feasible to carry out these assessments in the home as part of a supported discharge programme.