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Physical activity end-points in trials of chronic respiratory diseases: summary of evidence

Cassie Rist, Niklas Karlsson, Sofia Necander, Carla A. Da Silva
ERJ Open Research 2022 8: 00541-2021; DOI: 10.1183/23120541.00541-2021
Cassie Rist
1Clinical Development, Research and Early Development, Respiratory and Immunology, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
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Niklas Karlsson
2Patient Centered Science, Immunology, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
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Sofia Necander
3Clinical Development, Research and Late Development, Respiratory and Immunology, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
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Carla A. Da Silva
1Clinical Development, Research and Early Development, Respiratory and Immunology, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
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  • For correspondence: Carla.DaSilva@astrazeneca.com
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Abstract

Background Physical activity contributes to improving respiratory symptoms. However, validated end-points are few, and there is limited consensus about what is a clinically meaningful improvement for patients. This review summarises the evidence to date on the range of physical activity end-points used in COPD, asthma and idiopathic pulmonary fibrosis (IPF) whilst evaluating their appropriateness as end-points in trials and their relation to patients’ everyday life.

Methods Trials reporting physical activity end-points were collected using Citeline's database Trialtrove; this was supplemented by searches in PubMed.

Results The daily-patient-reported outcome (PRO)active and clinical visit-PROactive physical activity composite end-points appeared superior at capturing the full experience of physical activity in patients with COPD and were responsive to bronchodilator intervention. Time spent in moderate-to-vigorous physical activity is a recently validated end-point for IPF that correlates with exercise capacity and quality of life. Step count appears the best available physical activity measure for asthma, which consistently declines with worse disease status. However, evidence suggests a time lag before significant improvement in step count is seen which may reflect the impact of human behaviour on physical activity.

Conclusions Physical activity represents a challenging domain to accurately measure. This is the first review evaluating physical activity measures used specifically within the respiratory field. Whilst physical activity can be effectively captured using PROactive in patients with COPD, this review highlights the unmet need for novel patient-focused end-points in asthma and IPF which would offer opportunities to develop efficacious medicines with impact on patients’ therapeutic care and quality of life.

Abstract

Physical activity (PA) is a challenging domain to measure accurately. Patient-centric measures have been developed for the COPD population; however, the appropriateness of PA measures used in asthma and IPF populations remains sporadic and controversial. https://bit.ly/3HmmaGp

Introduction

Physical activity is defined as “any bodily movement produced by the contraction of skeletal muscle that increases energy expenditure above a basal level” [1]. It is important to distinguish physical activity from exercise, and subsequently separate measures of exercise capacity from assessments of physical activity [1]. Beyond exercise, physical activity includes everyday activities such as leisure-time, domestic, transportation and occupational activities [1]. The ability to meet the physical requirements of daily life is imperative in disease management and an important aspect of health-related quality of life, both in healthy and disease settings [2, 3]. However, there is limited consensus what a meaningful measure in physical activity is for patients with respiratory diseases.

Over the past decades, it has been widely accepted that physical activity improves worsening of respiratory symptoms [4]. Consistent evidence has linked low levels of physical activity with increased frequency of exacerbations and mortality in patients with COPD [5]. There is accumulating evidence that increasing physical activity improves asthma control, reduces exacerbation rates and healthcare utilisation [6]. Despite its importance, physical activity is an often-overlooked interventional method to optimise asthma management strategies. Research into the implications of idiopathic pulmonary fibrosis (IPF) on physical activity is largely sparse and exploratory. However, fatigue is increasingly documented by IPF patients [7], which may lead to reduced physical activity. The respiratory symptoms experienced by patients with COPD, asthma and IPF are similar, despite differences in the underlying pathogenesis [8]. Patients with respiratory diseases are often subject to a vicious downward cycle comprising reduced lung function, a worsened clinical presentation of dyspnoea, reduced physical activity, deconditioning of muscle mass, reduced exercise capacity and ultimately disability or mortality [9]. Patients with severe respiratory conditions often complain of breathlessness, and limited exercise capacity, which hinder physical abilities, such as basic daily activities, and social interactions [9]. To address these complaints, firstly, physical activity end-points sensitive to improvements by efficacious drugs need to be identified, whilst indicating improvements in dyspnoea, exercise limitation and disease severity. This would then enable the discovery of medicines with the greatest impact on physical activity and quality of life for the patient.

The aim of this review is to investigate the use of physical activity measures in respiratory clinical trials to date, evaluating the most prevalent physical activity measures for their appropriateness as end-points in trials and how they relate to patients’ everyday lives. This may allow clinicians to assess which end-point may be of most relevance to patients with respiratory disease and thus optimal to use in clinical trials going forward. Additionally, this will highlight where the unmet needs for novel relevant physical activity end-points are within the clinical landscape.

Search strategy and overview of the outcomes

To evaluate physical activity measures with a focus on patient relevance, the variety of end-points was first assessed using Citeline's database Trialtrove (a database, constantly updated, covering the entire public domain using major – and over 40 000 unique information sources – i.e. trial registries, portals, PubMed; figure 1). We searched for the terms “Trial Title contains Physical Activity” OR “Trial Title contains exercise” OR “End-point is Daily Physical Activity” OR “Primary End-point contains Physical Activity”. It is noteworthy that the inclusion criteria included “Trial title contains Exercise”: frequently studies claim to measure exercise when they record daily physical activity levels through end-points such as steps per day. To prevent inclusion of studies truly measuring exercise and endurance, any exercise intervention or exercise challenge studies were then manually excluded from the search results (figure 1). For each indication, the top two to four most frequently used end-points were cross-compared using resources from Trialtrove, supplemented with primary literature found through end-point-specific Google Scholar and PubMed searches. The choice of end-point comparison was owing to the availability of evidence relating to each end-point, with both time and resource limitation taken into consideration. The end-points were compared across multiple factors, including their construct and content validity. Construct validity refers to ensuring the end-point measures what it claims to be measuring, whereas content validity ensures the end-point is measuring appropriate content.

FIGURE 1
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FIGURE 1

Search strategy diagram. Workflow to assess landscape of end-points which assess physical activity in respiratory trials; details of inclusion/exclusion criteria used for Trialtrove searches; and end-point evaluation criteria. IPF: or idiopathic pulmonary fibrosis.

The search criteria returned 15 studies in patients with COPD, 6 in patients with asthma and 2 in patients with IPF (table 1). The COPD studies identified were published between 2007 and 2018, whereas the asthma and IPF studies were published more recently, between 2017 and 2018 and between 2018 and 2019, respectively. Step count was used most frequently across all the indications, appearing in 16 out of 23 clinical trial results. This was followed by time spent in moderate-to-vigorous physical activity (MVPA) in 10 out of 23 clinical trials, the 6-min walk distance (6MWD) in 9 studies and activity-related energy expenditure (AEE) in 5 studies. Two novel instruments have been used specifically in patients with COPD: the daily-patient-reported outcome (PRO)active and clinical visit-PROactive physical activity (D-PPAC and C-PPAC). D-PPAC and C-PPAC are hybrid instruments which combine a patient-reported outcome (PRO) with accelerometer-derived data, to capture the amount of physical activity and patient experience during activity [10]. Both instruments were developed and validated specifically within the COPD patient population. Other end-points used included time spent in light physical activity, sedentary time, active time, “healthy lifestyle”, duration of exercise, intensity of exercise and time spent in degrees of activity as determined by the metabolic equivalent of task (METs). The variety and inconsistency of end-points used reflects the unmet need for relevant and validated physical activity measures for use in clinical trials.

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TABLE 1

Out of 23 clinical trials measuring physical activity in COPD, asthma or idiopathic pulmonary fibrosis (IPF) studies; step count, time spent in moderate-to-vigorous physical activity (MVPA), 6-min walk distance (6MWD) and activity-related energy expenditure (AEE) were the measures used most frequently

Assessing physical activity in patients with COPD

The European Medicines Agency (EMA) qualified both D-PPAC and C-PPAC as suitable instruments to capture physical activity experience in patients with COPD and are supported as end-point use in clinical trials [11]. Both instruments demonstrate strong construct validity, content validity, with scores reflecting COPD status, positively affected by bronchodilator therapy, and negatively affected by exacerbations (table 2) [10]. Additionally, out of 1595 patients who participated in 7 validation studies, 83% of patients produced sufficient data from both accelerometer (8 h wearing time on at least 3 days across 1 week recording) and respective questionnaires, confirming sufficient acceptability from a patient perspective, across multiple nations, disease severities and languages [10].

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TABLE 2

Evaluation of the daily-patient-reported outcome (PRO)active and clinical visit-PROactive physical activity (D-PPAC and C-PPAC) instruments against Step Count and 6-min walk distance (6MWD) to assess physical activity in patients with COPD

In comparison, step count displays some aspects of construct validity such as correlations to dyspnoea and exercise capacity [12, 13], but an inconsistent relationship with health-related quality of life questionnaires (HRQoL) [12, 14]. Content validity is poor, as it cannot portray intensity of activity nor patient experience during daily activities. Step count does however show sensitivity to severity of COPD [12] and improvement following pharmacological intervention [13, 15, 16]. The 6MWD has commonly been used as a surrogate end-point for physical activity prior to introduction of pedometers and commercialisation of activity monitors. Despite the fact the 6MWD captures functional capacity and not daily activity (demonstrating poor content validity), it remains a popular end-point within respiratory research to indicate patient activity levels. 6MWD shows some correlation with levels of dyspnoea [17] and HRQoL [18], inverse correlation with disease severity [18] and sensitivity to therapeutic intervention [15, 17].

Assessing physical activity in patients with asthma

In contrast to the COPD population, less work has thus far been conducted in patients with asthma with respect to physical activity. The majority of studies have utilised the end-points step count and time spent in MVPA (table 3). Of the two end-points, step count offers more advantages: it is an intuitive end-point, easily understood by patients, and easily assessed by wearable user-friendly gadgets. Fundamentally, step count is an important measure owing to the fact that patients with asthma do not complete the recommended 10 000 daily steps per day and the consistent (but limited) findings that step count declines with worsening disease status [8, 21, 22]. Step count is responsive to intervention, specifically improving with anti-5 therapy [23]. Furthermore, step count associates with dyspnoea and exercise capacity [8], two end-points which significantly impact quality of life. Conversely, step count can be viewed as a crude representation of physical activity which is impacted by occupation and does not at first glance reflect patient experience. However, recent evidence may suggest otherwise; in 2020, Neale and colleagues [24] showed that step count in patients with asthma is inversely correlated with HRQoL.

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TABLE 3

Evaluation of step count and time spent in moderate-to-vigorous physical activity (MVPA) to assess physical activity in patients with asthma

The concept of measuring time spent in MVPA by patients is meaningful and perhaps has potential to be a clinically useful physical activity end-point. Increasing the time spent in MVPA has endless physical, mental and social benefits for patients, and largely this end-point is not impacted by occupation. Unfortunately, the initial studies present inconsistent findings. Firstly, the raw values of time spent in MVPA by both asthma and healthy populations varies substantially between studies [8, 22, 24]. Secondly, time spent in MVPA is not significantly different between asthma and healthy populations in the studies describing it, once adjusting for confounding factors, such as in a study by Bahmer and colleagues in 2017 [22]. Finally, there are no data available looking at the effect of treatment on time spent in MVPA in patients with asthma.

Assessing physical activity in patients with IPF

There are few clinical trials that have investigated physical activity in patients with IPF (table 4). Patients are reportedly completing 2728±2475 steps per day on average, a variation in steps almost as large as the step count itself [26]. A study by Nakayama and colleagues in 2015 [27] found that patients averaged 6520 steps per day, and that during the monitoring period over 1 month, there was no significant day-to-day variation. Both studies show that IPF patients complete less steps than the recommended 7000 per day for older adults, and other studies show initial indications of associations between step count and clinically important end-points such as serum Krebs von den Lungen (KL)-6 [27], dyspnoea [28], lung function measures [28], HRQoL [28] and 6MWD [26–28].

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TABLE 4

Evaluation of step count, time spent in moderate-to-vigorous physical activity (MVPA) and activity-related energy expenditure (AEE) to assess physical activity in patients with idiopathic pulmonary fibrosis (IPF)

Time spent in MVPA was recently approved by the Food and Drug Administration (FDA) as a Phase III primary end-point in Bellerophon Therapeutics Inc's study investigating the inhaled nitric oxide treatment of pulmonary hypertension associated with interstitial lung disease, confirming the validity of MVPA as a clinically meaningful end-point [29]. This was due to the positive results reported from cohort 1 of their ongoing Phase 2b/3 study, where patients on active treatment demonstrated a 34% placebo-adjusted improvement in MVPA after 8 weeks [29]. It is noteworthy that this Phase 2b/3 study also measured step count, but the largest difference in activity between treatment arms was shown through MVPA. A study by Hur and colleagues in 2018 estimated that an increase of MVPA by 26 min a week is a realistic but beneficial goal for patients with fibrotic interstitial lung disease; this study included a subset cohort of IPF patients. Time in MVPA has proven to correlate with exercise capacity in patients with IPF [30] and HRQoL [31].

AEE is the relative energy expended to perform a task above resting metabolism [26]. AEE recorded in IPF patients is significantly less than expended in healthy controls, averaging 133±127 kcal per day in IPF patients compared to 201±111 kcal per day in healthy controls [26]. AEE has been shown to be correlated with 6MWD and survival of IPF patients [26], dyspnoea and serum KL-6 [27]. Two papers measuring 6MWD in IPF patients have shown the end-point's unsuitability as a surrogate marker for physical activity, as it accounts for a low percentage of the variance observed in step count [28, 32]. There is initial data suggesting that 6MWD associates with dyspnoea and quality of life [28], and predicts mortality [32]. However, there are no published data to suggest 6MWD reflects IPF severity or treatment response.

Discussion

The patient-centric trend within the healthcare sector is causing a paradigm shift in which we are moving beyond disease treatment towards disease management and prevention. This reshaping of the healthcare sector calls for change in several aspects of the drug development process. We can no longer view the patients’ perspective through the lens of a physician or regulator, requiring novel patient-focused end-points which incorporate the patients’ voice and seeks to address patient-identified outcomes.

The PROactive consortium produced validated tools accepted by a diverse range of countries, ages and disease severities. These novel instruments are first of their kind, measuring the experience of physical activity in patients with COPD as a bi-dimensional concept and showed strong correlations to dyspnoea and exercise capacity, the two main complaints voiced by patients with COPD. Further attempts to measure physical activity in either asthma or IPF should adopt a similar approach to PROactive, whereby thoughtfully designed trials can endure scrutiny, prevent time and resource wasting and facilitate consistency in data. Novel instruments must be developed based upon a conceptual framework to follow FDA best practice, and a patient-centred methodology should be used to develop outcome assessments, where the patients’ voice is central to the work of clinical experts in the respective therapeutic area. Patient-reported outcome item selection should address an unmet need for assessments that directly measure or indirectly reflect an aspect of the disease or illness which, if relieved, improved or prevented, is meaningful for patients. Careful consideration over any accompanying activity monitor should be taken so that it is validated against the correct disease assessed, comfortable to wear for the specified length of time and easy to use by the relevant population, ideally uploading data automatically to mobile applications or clinical trial systems to facilitate decentralised trials.

The influence of behaviour and motivational factors on physical activity is a major limitation of traditional one-dimensional end-points such as steps per day and time spent in MVPA. The engrained behaviours of patients pose the risk of hindering transition into a more active lifestyle, despite efficacious treatment. Behaviour, in addition to the multitude of other variables which affect physical activity, such as disease severity, body mass index, season and comorbidities, may be the root of high variability of MVPA baseline values observed among asthmatic patients. Consequently, individual improvements observed in MVPA across a cohort of patients tend to have a lower statistical significance. Additionally, it is plausible to think there can also be a time lag between treatment efficacy and a significant improvement in frequency or intensity of activity, potentially reflecting a personal adjustment of a patient's habits over time. For example, recent studies showed anti-interleukin-5 (IL-5) therapy increasing lung function in patients with severe eosinophilic asthma as early as 3 months, and positive impacts on patient-reported outcomes as early as 3 days after initial treatment [34, 35]. Yet, when investigating efficacy on physical activity in patients with severe asthma, a significant improvement in step count was only apparent after 12 months and 6 months of anti-IL-5 treatment, respectively [23, 25].This suggests that measuring physical activity in patients with asthma may be more relevant in trials of longer duration (Phase 3 and 4) and thus not a viable efficacy measure for early clinical development (i.e. Phase 2). Nonetheless, in considering patients with chronic respiratory diseases, improving levels of physical activity should remain a vital part of respiratory disease management.

Conversely, behaviour can be harnessed to encourage improvements in physical activity using motivational tools and individualised targets. The PHYSACTO PROactive study [17] tested the rationale that behaviour modification is a pre-requisite to improving daily physical activity levels in patients. The paper concluded that a 12-week self-management behaviour-modification programme exhibited a clinically meaningful improvement in step count by 20%, without bronchodilator therapy [17]. The combination of pharmacological intervention with behavioural therapy to improve activity levels may be a useful strategy to uncover benefits for patients, whilst setting a foundation for a more active lifestyle.

When trials are contemplating assessing physical activity, one should carefully consider which specific outcome to measure. More specifically, is the aim to measure an aspect of daily physical activity, or exercise capacity? Research has largely concerted its efforts into evaluating exercise capacity through endurance tests such as the 6MWD; however, it is only over the past decades that research has moved on to assessing physical activity. Physical activity is a multifactorial concept, where a patient's willingness to engage is paramount. This willingness is determined by a complex interplay of motivation, environmental factors, perception of exercise-related symptoms, past experiences and confidence in fitness capabilities. As maximal exercise performance does not sufficiently correlate with daily physical activity [36], measuring daily physical activity can be regarded as more informative than assessing exercise capacity.

This review exhibits various strengths and weaknesses. It is a first of its kind as it attempts to evaluate physical activity measures for their relevance to respiratory patients, reflecting the shift in healthcare towards a more patient-centred approach. In doing so, this review highlights the unmet needs for patient-centric physical activity measures, particularly within disease areas such as asthma and IPF. However, we are judging patient relevance of end-points by association with symptomatic burden, such as breathlessness and limited exercise capacity [37, 38], self-reported quality of life questionnaires and indication of treatment efficacy. We are additionally limited by choice of end-points in available research to provide data that can be analysed. This review would benefit from direct patient input to guide evaluating criteria. For example, a social media listening study revealed that relief from cough, mucus production and shortness of breath are the most desirable aspects of COPD management from a patient's perspective [39]. The effort of mucus expulsion early in the morning is particularly relevant as it leaves patients exhausted for the rest of the day [39]. Similar patient insights should be gained within asthma and IPF populations and evaluated against physical activity measures in future trials. Other limitations lie in the methodology and search strategy. This is not a systematic review of all existing literature: this review has only evaluated the physical activity measures which were used more frequently, owing to the preference to evaluate end-points with a breadth of available evidence. The search strategies were not consistent across all therapeutic areas: within asthma and IPF populations, the lack of available literature meant that both complete and incomplete studies were consulted, to gain insight into which end-points are currently being used in exploratory studies. Whereas within COPD, owing to the larger amount of studies, only completed studies were consulted so study results could be analysed in greater depth with the time available.

Conclusion

Within the respiratory therapeutic areas, a variety of physical activity measures and surrogates have been used to assess physical activity. However, few disease-specific measures are available. D-PPAC and C-PPAC are truly patient-centric measures developed specifically for the COPD population. The significance of physical activity measures used within asthma and IPF populations, such as step count, time spent in MVPA and AEE, are controversial given the lack of relevant primary literature in these populations. Within asthma, step count may be the most patient relevant assessment of physical activity available, correlating with disease severity and associated symptom of dyspnoea, exercise capacity and HRQoL. Furthermore, time spent in MVPA has proven useful at progressing an inhaled nitric oxide treatment for interstitial lung disease to late-stage development.

To the best of our knowledge, this is the first review which evaluates physical activity measures used within the respiratory field for patient-centric and clinically relevant criteria, whilst highlighting the unmet need for novel patient-focused end-points validated in the asthmatic population. Despite its behavioural challenges, breaking the vicious cycle associated with poor physical activity levels is crucial to progress patient-centric healthcare, and thus represents a meaningful goal. Utilisation of patient-centric measures of physical activity (or the best currently available) in trials provides the best opportunity to achieving this goal and uncovering efficacious medicines with the biggest impact on patients’ quality of life.

Footnotes

  • Provenance: Submitted article, peer reviewed.

  • Conflict of interest: C. Rist reports financial support for the present manuscript received from AstraZeneca. The author also reports to be a current employee of AstraZeneca.

  • Conflict of interest: N. Karlsson reports financial support for the present manuscript received from AstraZeneca. The author also reports to be a current employee of AstraZeneca who holds stock or stock options through a remuneration package.

  • Conflict of interest: S. Necander reports financial support for the present manuscript received from AstraZeneca. The author also reports to be a current employee of AstraZeneca who holds stock or stock options through a remuneration package.

  • Conflict of interest: C.A. Da Silva reports financial support for the present manuscript received from AstraZeneca. The author also reports to be a current employee of AstraZeneca who holds stock or stock options through a remuneration package.

  • Support statement: All authors were full-time employees of AstraZeneca at the time of the work. No additional financial support was provided. Funding information for this article has been deposited with the Crossref Funder Registry.

  • Received September 6, 2021.
  • Accepted January 19, 2022.
  • Copyright ©The authors 2022
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ERJ Open Research: 8 (1)
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Physical activity end-points in trials of chronic respiratory diseases: summary of evidence
Cassie Rist, Niklas Karlsson, Sofia Necander, Carla A. Da Silva
ERJ Open Research Jan 2022, 8 (1) 00541-2021; DOI: 10.1183/23120541.00541-2021

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Physical activity end-points in trials of chronic respiratory diseases: summary of evidence
Cassie Rist, Niklas Karlsson, Sofia Necander, Carla A. Da Silva
ERJ Open Research Jan 2022, 8 (1) 00541-2021; DOI: 10.1183/23120541.00541-2021
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  • Article
    • Abstract
    • Abstract
    • Introduction
    • Search strategy and overview of the outcomes
    • Assessing physical activity in patients with COPD
    • Assessing physical activity in patients with asthma
    • Assessing physical activity in patients with IPF
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