Skip to main content
ERJ Open Research logoLink to ERJ Open Research
. 2022 Mar 14;8(1):00541-2021. doi: 10.1183/23120541.00541-2021

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

Cassie Rist 1, Niklas Karlsson 2, Sofia Necander 3, Carla A Da Silva 1,
PMCID: PMC8918933  PMID: 35295234

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.

Short 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.

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.

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

Indication Protocol/trial identification Completion Physical activity measure(s) Number of patients/patient target
COPD NCT00523991 Complete
  • Time spent in light physical activity

  • Time spent in MVPA

  • AEE

  • Step count

  • Healthy lifestyle (30 min of activity >3 metabolic equivalent levels for 70% of eligible days)

457
COPD jRCTs071180021 Complete
  • Sedentary time (METs 1–1.5)

  • Time in METs >2

  • Time in METs >3

  • 6MWD

80
COPD NCT01783808 Complete
  • No specified end-point. “Physical activity level measured with accelerometer and questionnaire”

  • 6MWD

144
COPD NCT02205242 Complete
  • Step count

  • Time in MVPA

  • Sedentary time (lying, sitting)

  • Active time (standing, locomotion, shuffling)

60
COPD NCT03357341 Complete
  • Step count

  • Median daily activity level based on vector magnitude counts

  • C-PPAC

98
COPD NCT03359473 Complete
  • No specified end-point, measured using triaxial accelerometer

  • 6MWD

80
COPD NCT03123692 Complete
  • Daily physical activity – no specified end-point

  • 6MWD

12
COPD NCT03123692 Complete
  • Step count

  • Time active

  • AEE

171
COPD NCT02629965 Complete
  • Step count

  • 6MWD

  • Time in >4 METs

  • Time in >3 METs

  • Time in >2 METs

180
COPD NCT02424344 Complete
  • Step count

  • D-PPAC

269
COPD NCT02153489 Complete
  • Step count

  • Time in MVPA

30
COPD NCT02085161 Complete
  • 6MWD

  • PROactive

  • Daily walking time

  • Daily walking intensity

304
COPD NCT01996319 Complete
  • AEE

  • Step count

  • Time in at least light physical activity

194
COPD PMC3534442 Complete
  • 6MWD

  • Step count

  • Time in MVPA

  • AEE

23
COPD NCT01012765 Complete
  • Step count

  • Time in MVPA

173
Asthma NCT04724278 Incomplete
  • Step count

  • Duration of exercise per day

  • Intensity of exercise per day

50
Asthma NCT04203797 Incomplete
  • Step count

  • AEE

  • Time in MVPA

140
Asthma NCT04195958 Incomplete Physical activity min per day – no specified end-point 60
Asthma NCT04184284 Incomplete Step count 500
Asthma NCT03739320 Complete
  • Daily moving time

  • Daily moving intensity

  • Time in MVPA

  • Step count

50
Asthma NCT03357341 Complete
  • Step count

  • Daily activity levels based on vector magnitude units

96
IPF NCT03717012 Complete
  • 6MWD

  • Daily accelerometer activity – no specified end-point

290
IPF NCT03737409 Incomplete
  • Step count

  • 6MWD

  • Time in MVPA

  • Sedentary time

260

METs: metabolic equivalent of task; D-PPAC and C-PPAC: daily-patient-reported outcome (PRO)active and clinical visit-PROactive physical activity.

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].

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

C-PPAC, D-PPAC (PROactive) Step count 6MWD
Construct validity
 1. Does the end-point measure physical activity?
  • Scores for “amount of physical activity” and “difficulty during physical activity” showed good internal consistency and construct validity across sex, age, COPD severity, countries and languages [10]

  • EMA supports C-PPAC & D-PPAC as end-points to measure physical activity in COPD [11]

  • Good indicator of day-to-day activity in healthy subjects; however, pure step count cannot indicate relative effort required to complete steps in subjects with respiratory diseases

  • Subject to seasonal variation and potentially skewed by occupation [12]

  • Historically the most used field test to assess functional capacity

  • Surrogate for physical activity prior to introduction of activity monitors

  • Limited functional capacity indicates muscle depletion caused by physical inactivity [19]

  • The test is self-paced and therefore subject to motivational effects

 2. Correlation to dyspnoea Pooled data showed “difficulty during physical activity” scores correlated moderately to strongly with dyspnoea [10]
  • 21 days of fixed dose combination LABA/LAMA therapy reduced lung hyperinflation as measured by inspiratory capacity. This was accompanied by a significant increase in step count [16]

  • mMRC score was weakly associated with daily step count of patients [12]

8 weeks of dual bronchodilator therapy elicited a reduction in dyspnoea intensity experienced during the 6MWD [17]
 3. Correlation to exercise capacity Pooled data showed “amount” scores from both D-PPAC and C-PPAC moderately correlated with exercise capacity. Difficulty scores showed moderate-to-strong correlations with exercise capacity [10]
  • Bronchodilator therapy improved step count and was accompanied by improvements in exercise capacity during constant cycle ergometry [13]

  • 6MWD weakly correlated with daily step count of patients [12]

Inherently an end-point used to indicate exercise capacity and therefore an exact correlation to exercise capacity
4. Correlation to HRQoL Pooled data showed “difficulty” scores had moderate-to-strong correlations with HRQoL [10]
  • A 4-month pedometer-based exercise programme, which improved step count, improved SGRQ by the minimum clinically important difference [14]

  • SGRQ was not found to be associated with daily step count [12]

Significant negative correlation between 6MWD and HRQoL, as measured by SGRQ symptoms domain, SGRQ impact domain and the SGRQ total score [18]
Content validity
 1. Does the end-point capture every aspect of physical activity? The wide distribution of scores for all domains supports the use of these instruments to capture the diversity of amount and difficulty experienced during physical activity by patients with COPD. Qualitative and quantitative data from development and validation studies of both instruments support the hypothesis that amount and difficulty are two different dimensions of physical activity experience [10]
  • Poor indicator of vigorous activity (crucial for long-term health)

  • Poorly reflects patient experience, cannot indicate any pain experienced during essential mobility

  • Exercise capacity comprises only one of the important dimensions which determine physical activity

  • Behaviours and environmental factors play huge roles in the amount and frequency of physical activity performed by people; exercise capacity does not directly translate to physical activity

2. Reflects respiratory disease state
  • All D-PPAC and C-PPAC scores differentiated across severity of COPD [10]

  • Instruments detected negative impacts on physical activity in patients who experienced exacerbations in the follow-up period [10]

  • “Amount”, “difficulty” and total scores derived from D-PPAC and C-PPAC vary fittingly to patients with a range of clinical characteristics [10]

  • The wide distribution of scores for all domains supports the use of these instruments to capture the diversity of amount and difficulty experienced during physical activity by patients with COPD [10]

  • Average step count decreased with increasing GOLD stage [12]

  • Completing an additionally 1000 steps at a low intensity corresponds to a 20% reduction in the risk of hospitalisations [20]

  • An improvement of daily step count by 780 (as facilitated by a 4-month pedometer-based programme) was associated with significant improvements in health status of patients [14]

  • Decline in average step count by 393 seen annually in patients with COPD monitored over 3 years, independent of COPD severity at baseline [19]

6MWD is inversely correlated with severity of COPD [18]
 3. Responsiveness to pharmacological intervention ACTIVATE and PHYSACTO studies showed improvements in D-PPAC difficulty score following bronchodilator treatment [10]
  • 21 days of fixed dose combination LABA/LAMA therapy improved step count in moderate-to-severe COPD patients by an average of 358 steps [16]

  • Short-term LABA therapy improved daily step count by an average of 1616 steps [15]

  • Short term dual bronchodilator therapy improved step count by approximately 10% [13]

  • 4 weeks of LABA therapy improved 6MWD by an average of 24.7 m [15]

  • 8 weeks of dual bronchodilator therapy improved 6MWD by 21 m [17]

EMA: European Medicines Agency; LABA/LAMA: long-acting β2-adrenoreceptor agonist/long-acting muscarinic receptor antagonist; mMRC: modified British Medical Research Council questionnaire; HRQoL: health-related quality of life questionnaire; SGRQ: Saint George's Respiratory Questionnaire; GOLD: Global Initiative for Chronic Obstructive Lung Disease.

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.

TABLE 3.

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

Step count Time in MVPA
Construct validity
 1. Does the end-point measure physical activity?
  • Most common end-points used to assess physical activity in patients with asthma

  • Good indicator of day-to-day activity in healthy subjects; however pure step count cannot indicate relative effort required to complete steps in subjects with respiratory diseases

  • Subject to seasonal variation and potentially skewed by occupation [12]

  • Captures moderate-to-intense activities. Useful end-point to capture as people with asthma intuitively avoid intense exercise to avoid exercise-induced bronchoconstriction [36]

  • Patients’ long-term habits may prevent an improvement in MVPA despite efficacious treatment

  • Substantial variability in results between subjects and between studies: with averages ranging between 22.3 min per day and 125 min per day for patients with severe asthma [8, 22, 24]

 2. Correlation to dyspnoea Step count is correlated with dyspnoea [8] MVPA correlated with dyspnoea [8]
 3. Correlation to exercise capacity 100-m increase in 6MWD equals to an increase of 1500 steps [8] MVPA independently correlated with 6MWD [8]
 4. Correlation to HRQoL The reduced step count completed by patients with severe asthma versus healthy controls was associated with a worse HRQoL, as measured by EuroQoL, Chronic Respiratory Questionnaire and Asthma QoL Questionnaire [24] Both total time in MVPA and time spent doing sustained bouts of MVPA was positively associated with HRQoL measures [24]
Content validity
 1. Does the end-point capture every aspect of physical activity?
  • Step count is a poor indicator of vigorous activity (crucial for long-term health)

  • End-point poorly reflects patient experience, cannot indicate any pain experienced during essential mobility

Doesn't capture majority of daily movement, e.g. walking
 2. Reflects respiratory disease state
  • Patients with severe asthma (averaging 5385 steps) are less active than the healthy control cohort (median of 2270 less steps) [8]

  • Severe asthmatic patients averaged 6174 steps. Patients with mild-to-moderate asthma performed significantly better with 7831 steps (p<0.001), and healthy controls averaged better still with 8912 steps [22]

  • Both studies found the differences in step count between cohorts to be significantly different once adjusting for confounding factors [8, 22]

  • Step count is a reliable long-term marker for asthma control – persistent uncontrolled asthmatic patients averaged 6614 steps at baseline, 6195 steps at follow-up 2 years later. Patients with controlled asthma averaged 8670 and 9058 at baseline and follow-up respectively. This is a sustained difference of at least 2000 steps [21]

  • Patients with severe asthma spend less time in MVPA than healthy controls, at 22.3 min per day and 42 min per day, respectively [8]

  • Patients with severe asthma spent less time doing sustained (>10-min bouts) of MVPA a day than healthy controls [24]

  • There was no significant difference in MVPA between patients with severe asthma and healthy controls, once adjusting for age, sex, obesity and smoking [22]

 3. Responsiveness to pharmacological intervention 12 months of anti-IL-5 therapy in 13 patients with severe eosinophilic asthma improved step count by 14% [23]. 12 months of biologic (mepolizumab/omalizumab) therapy in patients with severe asthma improved physical activity, measured by step count and total energy expenditure [25] No data available

6MWD: 6-minute walking distance; HRQoL: health-related quality of life questionnaire; EuroQoL: European Quality of Life Scale; QoL: quality of life questionnaire; anti-IL-5: anti-interleukin-5.

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 [2628].

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)

Step count Time in MVPA AEE 6-min walk distance (6MWD)
Construct validity
 1. Does the end-point measure physical activity?
  • Most common end-points used to assess physical activity in patients with IPF

  • Good indicator of day-to-day activity in healthy subjects; however, pure step count cannot indicate relative effort required to complete steps in subjects with respiratory diseases

  • Subject to seasonal variation and potentially skewed by occupation [12]

  • Captures moderate–intense activities. Useful to capture as patients with IPF intuitively avoid intense exercise to avoid exercise-induced bronchoconstriction

  • Patients’ long-term habits may prevent an improvement in MVPA despite efficacious treatment

Relative energy expended to perform a task above resting metabolism
  • Historically the most used field test to assess functional capacity

  • Surrogate for physical activity prior to introduction of activity monitors

  • Despite 6MWD being a strong predictor of reduced step count in IPF patients in two studies, the end-point only accounted for 42% and 31% of the step count variance, respectively, indicating this end-point is not a good surrogate for daily physical activity [28, 32]

  • Limited functional capacity indicates muscle depletion caused by physical inactivity [19]

  • The test is self-paced and therefore subject to motivational effects

 2. Correlation to dyspnoea Step count correlated with dyspnoea, patients with an mMRC >2 averaged 1900 steps per day, a 70% reduction compared to patients with mild dyspnoea (mMRC <2) [28] No data available AEE associated with dyspnoea score [27, 33] Patients with a poor 6MWD completed a similar step count to patients with low mMRC [28]
 3. Correlation to exercise capacity Step count correlated with 6MWD [26, 27] Time in MVPA correlated with 6MWD in 17 IPF patients [30] AEE correlated with 6MWD in patients with IPF [26, 27] Inherently an end-point used to indicate exercise capacity
 4. Correlation to HRQoL
  • Step count correlated with HRQoL [28]

  • Step count did not correlate with SGRQ and HADS score, which indicates HRQoL and anxiety/depression, respectively, within IPF cohort [26]

Time in MVPA showed moderate-to-strong correlations with the EQ-5D index score in 111 patients with fibrotic interstitial lung disease [31] No data available Patients with a poor 6MWD completed a similar step count to patients with low QoL (12-Item Short Form Survey, SF-12) [28]
Content validity
 1. Does the end-point capture every aspect of physical activity?
  • Poor indicator of vigorous activity (crucial for long-term health)

  • Poorly reflects patient experience, cannot indicate any pain experienced during essential mobility

Doesn't capture majority of daily movement, e.g. walking Captures energy expended during physical activity in a day
  • Exercise capacity comprises only one of the important dimensions which determines physical activity

  • Behaviours and environmental factors play huge roles in the amount and frequency of physical activity performed by people; exercise capacity does not directly translate to physical activity

 2. Reflects respiratory disease state
  • Patients averaged a daily step count of 2728±2475, significantly fewer than the healthy cohort at 5953±3578 [26]

  • Step count associated with lung function measures such as FVC % predicted normal value and DLCO % predicted normal value [28]

No data available Patients averaged 133±127 kcal·day−1, whilst healthy controls expended 201±111 kcal·day−1 [26] No data available
 3. Responsiveness to pharmacological intervention No data available Inhaled nitric oxide improved MVPA by 34% in patients with IPF [29] No data available No data available
 4. Impact on survival Step count correlated with serum KL-6, an important predictor of survival in IPF [27, 33] No data available
  • Following adjustment for the prognostic factors age, sex and % FVC, AEE was the only end-point significantly associated with survival of IPF patients [26]

  • AEE associated with serum KL-6 [27]

6MWD significantly and independently predicted mortality, with a 6MWD of >360 m having an 80% survival probability after 30 months [32]

mMRC: modified British Medical Research Council questionnaire; HRQoL: health-related quality of life questionnaire; EQ-5D: European Quality of Life Five Dimension; QoL: quality of life; SGRQ: Saint George's Respiratory Questionnaire; HADS: hospital and anxiety depression score; FVC: forced vital capacity; DLCO: diffusion capacity for carbon monoxide; QoL: quality of life.

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.

References

  • 1.Caspersen CJ, Powell KE, Christenson GM. Physical activity, exercise, and physical fitness: definitions and distinctions for health-related research. Public Health Rep 1985; 100: 126–131. [PMC free article] [PubMed] [Google Scholar]
  • 2.Anokye NK, Trueman P, Green C, et al. Physical activity and health related quality of life. BMC Public Health 2012; 12: 624–631. doi: 10.1186/1471-2458-12-624 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Esteban C, Quintana JM, Aburto M, et al. Impact of changes in physical activity on health-related quality of life among patients with COPD. Eur Respir J 2010; 36: 292–300. doi: 10.1183/09031936.00021409 [DOI] [PubMed] [Google Scholar]
  • 4.Lagerros YT, Lagiou P. Assessment of physical activity and energy expenditure in epidemiological research of chronic diseases. Eur J Epidemiol 2007; 22: 353–362. doi: 10.1007/s10654-007-9154-x [DOI] [PubMed] [Google Scholar]
  • 5.Gimeno-Santos E, Frei A, Steurer-Stey C, et al. Determinants and outcomes of physical activity in patients with COPD: a systematic review. Thorax 2014; 69: 731–739. doi: 10.1136/thoraxjnl-2013-204763 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Nyenhuis SM, Dixon AE, Ma J. Impact of lifestyle interventions targeting healthy diet, physical activity, and weight loss on asthma in adults: what is the evidence? J Allergy Clin Immunol Pract 2018; 6: 751–763. doi: 10.1016/j.jaip.2017.10.026 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Swigris JJ, Kuschner WG, Jacobs SS, et al. Health-related quality of life in patients with idiopathic pulmonary fibrosis: a systematic review. Thorax 2005; 60: 588–594. doi: 10.1136/thx.2004.035220 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Cordova-Rivera L, Gibson PG, Gardiner PA, et al. Physical activity associates with disease characteristics of severe asthma, bronchiectasis and COPD. Respirology 2019; 24: 352–360. doi: 10.1111/resp.13428 [DOI] [PubMed] [Google Scholar]
  • 9.Hurst JR, Skolnik N, Hansen GJ, et al. Understanding the impact of chronic obstructive pulmonary disease exacerbations on patient health and quality of life. Eur J Intern Med 2020; 73: 1–6. doi: 10.1016/j.ejim.2019.12.014 [DOI] [PubMed] [Google Scholar]
  • 10.Garcia-Aymerich J, Puhan MA, Corriol-Rohou S, et al. Validity and responsiveness of the Daily- and Clinical visit-PROactive Physical Activity in COPD (D-PPAC and C-PPAC) instruments. Thorax 2021; 76: 228–238. doi: 10.1136/thoraxjnl-2020-214554 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.European Medicines Agency. Qualification opinion on proactive in COPD . 2018. www.ema.europa.eu/en/documents/regulatory-procedural-guideline/qualification-opinion-proactive-chronic-obstructive-pulmonary-disease-copd_en.pdf
  • 12.Moy ML, Danilack VA, Weston NA, et al. Daily step counts in a US cohort with COPD. Respir Med 2012; 106: 962–969. doi: 10.1016/j.rmed.2012.03.016 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Watz H, Troosters T, Beeh KM, et al. ACTIVATE: the effect of aclidinium/formoterol on hyperinflation, exercise capacity, and physical activity in patients with COPD. Int J Chron Obstruct Pulmon Dis 2017; 12: 2545–2558. doi: 10.2147/COPD.S143488 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Moy ML, Collins RJ, Martinez CH, et al. An internet-mediated pedometer-based program improves health-related quality-of-life domains and daily step counts in COPD: a randomized controlled trial. Chest 2015; 148: 128–137. doi: 10.1378/chest.14-1466 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Hataji O, Naito M, Ito K, et al. Indacaterol improves daily physical activity in patients with chronic obstructive pulmonary disease. Int J Chron Obstruct Pulmon Dis 2013; 8: 1–5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Watz H, Mailänder C, Baier M, et al. Effects of indacaterol/glycopyrronium (QVA149) on lung hyperinflation and physical activity in patients with moderate to severe COPD: a randomised, placebo-controlled, crossover study (The MOVE Study). BMC Pulm Med 2016; 16: 95–104. doi: 10.1186/s12890-016-0256-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Troosters T, Maltais F, Leidy N, et al. Effect of bronchodilation, exercise training, and behavior modification on symptoms and physical activity in chronic obstructive pulmonary disease. Am J Respir Crit Care Med 2018; 198: 1021–1032. doi: 10.1164/rccm.201706-1288OC [DOI] [PubMed] [Google Scholar]
  • 18.Agrawal SR, Joshi R, Jain A. Correlation of severity of chronic obstructive pulmonary disease with health-related quality of life and six-minute walk test in a rural hospital of central India. Lung India 2015; 32: 233–240. doi: 10.4103/0970-2113.156231 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Waschki B, Kirsten AM, Holz O, et al. Disease progression and changes in physical activity in patients with chronic obstructive pulmonary disease. Am J Respir Crit Care Med 2015; 192: 295–306. doi: 10.1164/rccm.201501-0081OC [DOI] [PubMed] [Google Scholar]
  • 20.Donaire-Gonzalez D, Gimeno-Santos E, Balcells E, et al. Benefits of physical activity on COPD hospitalisation depend on intensity. Eur Respir J 2015; 46: 1281–1289. doi: 10.1183/13993003.01699-2014 [DOI] [PubMed] [Google Scholar]
  • 21.Abdo M, Waschki B, Kirsten AM, et al. Persistent uncontrolled asthma: long-term impact on physical activity and body composition. J Asthma Allergy 2021; 14: 229–240. doi: 10.2147/JAA.S299756 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Bahmer T, Waschki B, Schatz F, et al. Physical activity, airway resistance and small airway dysfunction in severe asthma. Eur Respir J 2017; 49: 1601827. doi: 10.1183/13993003.01827-2016 [DOI] [PubMed] [Google Scholar]
  • 23.Panagiotou M, Koulouris N, Koutsoukou A, et al. Daily physical activity in patients with severe asthma and the effect of anti-IL5 therapy. Eur Respir J 2019; 54: Suppl. 63, PA1648. [Google Scholar]
  • 24.Neale J, Orme MW, Majd S, et al. A comparison of daily physical activity profiles between adults with severe asthma and healthy controls. Eur Respir J 2020; 56: 1902219. doi: 10.1183/13993003.02219-2019 [DOI] [PubMed] [Google Scholar]
  • 25.Scioscia G, Messina G, Lacedonia D, et al. Physical activity pattern of severe asthmatic patients treated with biological therapy. Eur Respir J 2019; 54: Suppl. 63, PA2754. [Google Scholar]
  • 26.Nishiyama O, Yamazaki R, Sano H, et al. Physical activity in daily life in patients with idiopathic pulmonary fibrosis. Respir Invest 2018; 56: 57–63. doi: 10.1016/j.resinv.2017.09.004 [DOI] [PubMed] [Google Scholar]
  • 27.Nakayama M, Bando M, Araki K, et al. Physical activity in patients with idiopathic pulmonary fibrosis. Respirology 2015; 20: 640–646. doi: 10.1111/resp.12500 [DOI] [PubMed] [Google Scholar]
  • 28.Bahmer T, Kirsten AM, Waschki B, et al. Clinical correlates of reduced physical activity in idiopathic pulmonary fibrosis. Respiration 2016; 91: 497–502. doi: 10.1159/000446607 [DOI] [PubMed] [Google Scholar]
  • 29.Nathan SD, Flaherty KR, Glassberg MK, et al. A randomized, double-blind, placebo-controlled study of pulsed, inhaled nitric oxide in subjects at risk of pulmonary hypertension associated with pulmonary fibrosis. Chest 2020; 158: 637–645. doi: 10.1016/j.chest.2020.02.016 [DOI] [PubMed] [Google Scholar]
  • 30.Badenes Bonet D, Rodríguez Chiaradia DA, Rodó Pin A, et al. Physical activity in idiopathic pulmonary fibrosis. Eur Respir J 2019; 54: Suppl. 63, PA1345. [Google Scholar]
  • 31.Hur SA, Guler SA, Khalil N, et al. Minimal important difference for physical activity and validity of the international physical activity questionnaire in interstitial lung disease. Ann Am Thorac Soc 2019; 16: 107–115. doi: 10.1513/AnnalsATS.201804-265OC [DOI] [PubMed] [Google Scholar]
  • 32.Wallaert B, Monge E, Le Rouzic O, et al. Physical activity in daily life of patients with fibrotic idiopathic interstitial pneumonia. Chest 2013; 144: 1652–1658. doi: 10.1378/chest.13-0806 [DOI] [PubMed] [Google Scholar]
  • 33.Yokoyama A, Kondo K, Nakajima M, et al. Prognostic value of circulating KL-6 in idiopathic pulmonary fibrosis. Respirology 2006; 11: 164–168. doi: 10.1111/j.1440-1843.2006.00834.x [DOI] [PubMed] [Google Scholar]
  • 34.O'Quinn S, Xu X, Hirsch I. Daily patient-reported health status assessment improvements with benralizumab for patients with severe, uncontrolled eosinophilic asthma. J Asthma Allergy 2019; 12: 21–33. doi: 10.2147/JAA.S190221 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Scioscia G, Carpagnano GE, Quarato CMI, et al. Effectiveness of Benralizumab in improving the quality of life of severe eosinophilic asthmatic patients: our real-life experience. Front Pharmacol 2021; 12: 631660. doi: 10.3389/fphar.2021.631660 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Panagiotou M, Koulouris NG, Rovina N. Physical activity: a missing link in asthma care. J Clin Med 2020; 9: 706–724. doi: 10.3390/jcm9030706 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Miravitlles M, Ribera A. Understanding the impact of symptoms on the burden of COPD. Respir Res 2017; 18: 67–77. doi: 10.1186/s12931-017-0548-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Osman LM, McKenzie L, Cairns J, et al. Patient weighting of importance of asthma symptoms. Thorax 2001; 56: 138–142. doi: 10.1136/thorax.56.2.138 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Patalano F, Gutzwiller FS, Shah B, et al. Gathering structured patient insight to drive the PRO strategy in COPD: patient-centric drug development from theory to practice. Adv Ther 2020; 37: 17–26. doi: 10.1007/s12325-019-01134-x [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from ERJ Open Research are provided here courtesy of European Respiratory Society

RESOURCES