Abstract
BACKGROUND: The modified Medical Research Council (mMRC) and COPD Assessment Test (CAT) are assessment instruments associated with level of physical activity of daily living (PADL) in patients with COPD. This study aimed to identify mMRC and CAT cutoff points to discriminate sedentary behavior and PADL level of subjects with COPD and verify whether these cutoff points differentiate pulmonary function, health-related quality of life (HRQOL), functional status, and mortality index in subjects with COPD.
METHODS: Subjects (N = 131, FEV1: 36.7 ± 16.1% predicted) were assessed for lung function, mMRC, CAT, HRQOL, functional status, and mortality index. PADL was monitored using a triaxial accelerometer, and subjects were classified as sedentary/nonsedentary (cutoff point of 8.5 h/d in PADL < 1.5 metabolic equivalent of task [MET]), physically active/inactive (cutoff point of 80 min/d in PADL ≥ 3 METs), and with/without severe physical inactivity (cutoff point of 4,580 steps/d), according to variables provided by accelerometer.
RESULTS: ROC curve indicated mMRC cutoff point of ≥ 2 (P < .05) for physical inactivity (sensitivity = 66%, specificity = 56%, AUC = 0.62), severe physical inactivity (sensitivity = 81%, specificity = 66%, AUC = 0.76), and sedentary behavior (sensitivity = 61%, specificity = 70%, AUC = 0.65). The identified CAT cutoff points were ≥ 16 and ≥ 20, considering severe physical inactivity (sensitivity = 76%, specificity = 54%, AUC = 0.69, P < .001) and sedentary behavior (sensitivity = 51%, specificity = 90%, AUC = 0.71, P = .001), respectively. Subjects who had mMRC ≥ 2 and CAT ≥ 16 or ≥ 20 presented worse pulmonary function, HRQOL, functional status, and mortality index compared with those who scored mMRC < 2 and CAT <16 or < 20.
CONCLUSIONS: mMRC cutoff point of ≥ 2 is recommended to discriminate PADL level and sedentary behavior, whereas CAT cutoff points of ≥ 16 and ≥ 20 discriminated severe physical inactivity and sedentary behavior, respectively. These cutoff points differentiated subjects with COPD regarding all the outcomes assessed in this study.
- COPD
- activities of daily living
- functional status
- exercise
- sedentary behavior
- symptom assessment
- health status
Introduction
COPD is characterized by pulmonary and systemic manifestations that may lead to exertional dyspnea, a symptom associated with decreased health and functional status.1-3 Functional status is multidimensional and comprises functional capacity, functional performance, functional reserve, and functional capacity utilization.4 There is a growing interest in investigating functional performance5 (ie, activities routinely performed by individuals)6 since increased levels of physical activity in daily life (PADL) are widely recommended in pulmonary rehabilitation programs.1 Also, low PADL levels reduce quality of life7 and increase the risk of exacerbations and number of hospitalizations8 and is considered the strongest predictor of mortality in patients with COPD.9
Although triaxial accelerometers are complex, high cost, and present low feasibility and clinical applicability, they provide objective data that cannot be provided by questionnaires and pedometers.5 Pedometers, despite more accessible, are unreliable for detecting low-intensity movements, whereas questionnaires and scales are influenced by patient understanding and subjectivity.5 Triaxial accelerometers are portable movement monitors that accurately measure time, number of steps, movement intensity, and energy expenditure in different postures and activities.10 Cutoff points capable of classifying sedentary behavior and PADL level of these patients have already been established.11-13
It is known that multiple symptoms experienced by patients with COPD, such as dyspnea, fatigue, anxiety, and depression, influence their physical activity.14 The symptoms can be aggravated by physical inactivity, causing the disease spiral.15 Previous studies16-18 investigated relationships between PADL level and the multidimensional Global Initiative for Chronic Obstructive Lung Disease (GOLD) classification. It complements spirometric classification, stratifies disease into 4 quadrants (considering symptoms and exacerbations in the last year),3 and may reflect better COPD complexity.16 However, symptoms are evaluated using the modified Medical Research Council (mMRC) scale or COPD Assessment Test (CAT) questionnaire and may lead to different distributions within the multidimensional classification.19 Although 2 distinct CAT cutoff points are described for this population,3,20 a significant discrepancy regarding disease severity20 and symptoms is present when the score is applied to the same patient.21 Munari et al17 observed that mMRC was more strongly associated with functional status than CAT. Nevertheless, cutoff points of these instruments to discriminate sedentary behavior and PADL level have not yet been identified in COPD.
Therefore, this study aimed to confirm associations between CAT and mMRC and functional status classifications. Also, in case of confirmed significant association, (1) to determine mMRC and CAT cutoff points to discriminate sedentary behavior and PADL level of subjects with COPD and (2) to identify whether these cutoff points differentiate pulmonary function, health-related quality of life (HRQOL), functional status, and mortality index in subjects with COPD.
QUICK LOOK
Current Knowledge
Multidimensional GOLD classification reflects the complexity of COPD better than spirometric classification. Despite this, evaluation by different instruments (modified Medical Research Council [mMRC] and COPD Assessment Test [CAT]) may lead to different distributions within the multidimensional classification. Also, disease severity and symptoms are discrepant when current CAT cutoff points are applied to the same patient. Furthermore, mMRC is more strongly associated with functional status than CAT.
What This Paper Contributes to Our Knowledge
An mMRC cutoff point of 2 is recommended to discriminate physical activity in daily life (PADL) level and sedentary behavior, whereas CAT cutoff points of 16 and 20 discriminated severe physical inactivity and sedentary behavior in subjects with COPD. These cutoff points also differentiated pulmonary function, health-related quality of life, functional and exercise capacity, PADL limitation, PADL level, and risk of death in subjects with COPD.
Methods
This is a cross-sectional study approved by the Human Research Ethics Committee of the Santa Catarina State University of (CAAE: 80831117.5.0000.0118). All subjects provided written informed consent prior to inclusion in the study. Subjects referred to the Center for Assistance, Teaching, and Research in Pulmonary Rehabilitation, with clinical diagnosis of COPD (GOLD II–IV), confirmed by spirometry,3 age 40–80 y, and clinically stable in the month before the beginning of the protocol, were included. Exclusion criteria were disabling health conditions; other respiratory diseases; nonadherence to prescribed medications; exacerbation during study protocol; hospitalization in the previous 3 months; and current smokers, smoking cessation, or participation in pulmonary rehabilitation programs in the previous 6 months.
The protocol was conducted in 3 nonconsecutive visits and 2 consecutive days between March 2013 and December 2018. On the first visit, pulmonary function test, mMRC, London Chest Activity of Daily Living (LCADL), CAT, and modified St George Respiratory Questionnaire (mSGRQ) were performed. Two 6-min walk tests (6MWT) and 2 Glittre-ADL (TGlittre) tests were performed on the second and third visits. Visits were interspersed for at least one day or as necessary to avoid influence of the previous evaluation. PADL was monitored in the fourth and fifth day.
Pulmonary function was assessed using an EasyOne portable spirometer (ndd Medical Technologies, Zürich, Switzerland), following the American Thoracic Society/European Respiratory Society (ATS/ERS) recommendations.22 Predicted values for the Brazilian population were calculated.23 CAT score was used to assess COPD impact on health status, and higher scores indicated worse health status.24,25 mMRC was applied to stratify dyspnea severity during daily activities, and maximum scores reflected high degree of dyspnea. HRQOL was evaluated using mSGRQ and its domains: symptoms, activity, and impact. Each domain score and the total score (in percentage) were used for analysis.26,27 ADL limitation due to dyspnea was evaluated using LCADL,28,29 and both LCADL %total score28 and cutoff point of 28%30 were used in the analyses. 6MWT was performed in a 20-m corridor, following ATS/ERS31 recommendations. The best distance covered in meters and percentage of predicted (% predicted)32 and cutoff point of 82% predicted were included for data analysis.33 TGlittre followed Skumlien et al34 recommendations, and the test performed in the shortest time, % predicted,35 and cutoff point of 3.5 min36 were used for analysis. Body mass index, air flow obstruction, dyspnea, and exercise capacity (BODE) index were also calculated.37
PADLs were monitored using DynaPort MiniMod triaxial accelerometers (McRoberts BV, The Hague, the Netherlands) for 2 consecutive working days (12 h daily). Subjects received an instruction manual and verbal guidance for its use. Data were analyzed using the Dyrector software (McRoberts BV, The Hague, the Netherlands), and it was averaged for analysis, considering number of steps; time spent seated, lying down, standing, walking; and in PADL with metabolic equivalent of task (MET) ≥ 3 (PADL ≥ 3 METs) and < 1.5 MET (PADL < 1.5 MET). Sedentary time was considered the sum of sitting and lying times, whereas the sum of standing and walking times indicated active time.38 Subjects were classified as (1) sedentary/nonsedentary, according to cutoff point of 8.5 h/d spent in PADL < 1.5 MET11; (2) physically active/inactive, according to cutoff point of 80 min/d spent in PADL ≥ 3 METs12; and (3) with/without severe physical inactivity, according to cutoff point of 4,580 steps/d.13
Statistical Analysis
Sample size was calculated using MedCalc 12.0 software (MedCalc, Ostend, Belgium), considering an area under the curve (AUC) of 0.7, bidirectional alpha of 0.05, and power of 80%. The optimal number was estimated as 105 subjects. SPSS Statistics (IBM, Armonk, New York) software version 20.0 was used for data analysis, adopting a significance level of 5%. Shapiro-Wilk test was used to verify data distribution. Correlations between CAT and mMRC scores, number of steps, and time spent in PADL > 3 METs and < 1.5 MET were performed using Pearson or Spearman correlation coefficients and classified as weak (0.3 ≤ r < 0.5), moderate (0.5 ≤ r < 0.7), strong (0.7 ≤ r < 1.0), and perfect (r = 1.0).39 Unpaired t test or Mann-Whitney U test compared CAT and mMRC scores between PADL classifications. If correlation coefficients between PADL and CAT and mMRC were ≥ 0.3, receiver operating characteristic (ROC) curves, AUC, and Youden Index verified discriminative capacity and determined the best CAT and mMRC cutoff points. The ROC curves were conducted with a nonparametric approach. Discriminative capacity was considered satisfactory when ≥ 0.70.40 Sample was stratified according to identified mMRC and CAT cutoff points, whereas unpaired t test or Mann-Whitney U test compared pulmonary function, HRQOL, functional status, and mortality index. Associations between classifications based on CAT and mMRC cutoff points and PADL, 6MWT, TGlittre, and LCADL classifications were performed using chi-square test, whereas Cramer V coefficient verified the strength of associations, which varied from 0 (no association between the variables) to 1 (complete association). Binary logistic regression was performed considering classifications based on CAT and mMRC cutoff points as dependent variables and categorical variables that presented significant associations as independent variables. The model was adjusted to include variables with significant associations. Odds ratio and 95% CI were also reported.
Results
One hundred and thirty-eight patients were eligible for the study. Six were excluded due to exacerbation during the protocol, and one was unable to complete evaluations. Thus, 131 subjects (94 male) completed the study: 129 completed the mMRC and 121 the CAT. Of these, 31 (23.7%) presented moderate (GOLD II), 46 (35.1%) severe (GOLD III), and 54 (41.2%) very severe (GOLD IV) pulmonary function impairment. Seventy (53.4%) were physically inactive, 60 (45.8%) presented severe physical inactivity, and 108 (82.4%) sedentary behavior. Sample characteristics are described in Table 1.
CAT and mMRC scores correlated significantly with PADL variables (Table 2). Inactive subjects with severe physical inactivity and sedentary behavior presented higher mMRC and CAT scores than active subjects without severe physical inactivity and nonsedentary, respectively (Table 3).
mMRC and CAT Cutoff Points
The ROC curve indicated mMRC cutoff point of 2 in all classifications: physical inactivity level (sensitivity = 66%, specificity = 56%, P = .01), severe physical inactivity (sensitivity = 81%, specificity = 66%, P < .001), and sedentary behavior (sensitivity = 61%, specificity = 70%, P = .02), respectively. Regarding CAT, cutoff points were 16 and 20 for severe physical inactivity (sensitivity = 76%, specificity = 54%, P < .001) and sedentary behavior (sensitivity = 51%, specificity = 90%, P = .001), respectively (Fig. 1).
Subjects who scored mMRC ≥ 2 and CAT ≥ 16 and ≥ 20 presented worse pulmonary function; higher LCADL %total, BODE, mSGRQ (total and domain scores); worse 6MWT and TGlittre performances; and lower PADL level than those scoring mMRC < 2 and CAT < 16 and < 20. Also, CAT score was higher in subjects with mMRC ≥ 2, whereas mMRC score was higher in subjects with CAT ≥ 16 and ≥ 20 than those presenting mMRC < 2 and CAT < 16 and < 20, respectively (Table 1).
The mMRC cutoff point was associated with classification based on 6MWT, TGlittre, and LCADL %total (Cramer V = 0.32–0.48, P < .05 for all). Subjects with TGlittre ≥ 3.5 min and LCADL %total score ≥ 28% were 8.58-fold (95% CI 2.5–29.7, P = .001) and 6.36-fold (95% CI 1.7–20.6, P = .002) more likely to present mMRC ≥ 2, respectively. The CAT cutoff points were associated with 6MWT, TGlittre, and LCADL %total classifications (Cramer V = 0.33–0.57, P < .05 for all). Subjects with 6MWT < 82% predicted and LCADL %total score ≥ 28% were 5.44-fold (95% CI 1.7–17.0, P = .004) and 6.15-fold (95% CI 2.0–18.8, P = .001) more likely to present CAT ≥ 16 and 6.52-fold (95% CI 1.6–25.9, P = .01) and 22.8-fold (95% CI 4.5–115.0, P < .001) more likely to score CAT ≥ 20.
Discussion
This study identified cutoff points to interpret mMRC and CAT regarding PADL impairments and sedentary behavior in subjects with COPD. mMRC (2 points) and CAT (16 and 20 points) cutoff points were sensitive and specific to discriminate these outcomes in subjects with COPD. Those with mMRC ≥ 2 and CAT ≥ 16 and ≥ 20 presented worse pulmonary function, HRQOL, functional and exercise capacities, ADL limitation, lower PADL level, and higher risk of death according to the BODE index than those presenting mMRC < 2 and CAT < 16 and < 20.
The instruments chosen to determine cutoff points were selected based on GOLD classification that quantifies future exacerbation risk and symptoms since 2011, allowing better clinical management of patients with COPD. Although PADL level and sedentary behavior are prognostic determinants, GOLD criteria do not consider them in the multidimensional classification.3 Furthermore, no physical training strategies designed to address different quadrants of the multidimensional classification are present in the literature.1 Despite GOLD criteria recommend physical activity for all patients with COPD, pulmonary rehabilitation programs are considered essential only for those classified in B, C, and D quadrants.3 Therefore, PADL level and sedentary behavior monitoring may have equal or greater relevance than assessing exercise capacity since behavior change and adherence to active lifestyle are 2 of the greatest challenges and the primary focus of pulmonary rehabilitation programs.1 In this sense, the present study may help design strategies for patients with different functional impairment levels, identified using instruments of easy clinical applicability and recommended by GOLD criteria. Another strength of this study is the objective PADL measurements provided by triaxial accelerometers, differing from questionnaires reflecting subjective perception of physical activity.5
Previous studies preferred mMRC in the context of PADL since it better reflects PADL and differentiates patients in 4 multidimensional quadrants.16,17 This is probably due to nonequivalence of cutoff points adopted by GOLD (ie, mMRC = 2 and CAT = 10), generating inconsistent classifications.19 Smid et al20 found that CAT cutoff point of 18 (using mMRC ≥ 2 as reference point) better distributed subjects in the multidimensional GOLD classification. This value is very close to cutoff points found in our study to discriminate severe physical inactivity and sedentary behavior. Casanova et al41 identified that CAT cutoff point adopted by GOLD criteria was not associated with mortality, and the best predictive value for all-cause mortality (also using mMRC ≥ 2) was ≥ 17. mMRC ≥ 1 and CAT ≥ 10 cutoff points were equivalent in a study that determined low-symptom subjects.42 However, our findings and previous studies20,41 demonstrated that cutoff points higher than observed by Jones et al42 provided valuable prognostic information and should be preferably used.
The current study also identified that the classification from mMRC and CAT cutoff points was able to discriminate subjects concerning the pulmonary function, HRQOL, functional and exercise capacities, ADL limitation, and higher risk of death according to the BODE index. These outcomes are complementary and are strongly associated to the prognosis of COPD.1,37,43,44 The discriminatory power found can be considered clinically relevant since the differences between the groups presented higher values than the minimal important difference of the mSGRQ,45 the 6MWT,31 the TGlittre,46 the LCADL,47 and the number of steps.48 Additionally, the BODE index was higher in subjects with scores mMRC ≥ 2 and CAT ≥ 16 and ≥ 20. It is relevant given that higher scores on the BODE index reflect an increased risk of death.37
The cutoff points were established based on variables of functional status and were associated with classifications from one scale and field tests related to functional status. Having cutoff points capable of discriminating functional status of patients can be quite useful for a better stratification of this outcome. In addition, it can help clinicians determine the urgency of the need to refer patients to centers with therapies more directed at improving functional status. Interestingly, TGlittre classification was associated with mMRC classification, whereas 6MWT was associated with CAT classification. TGlittre is a field test developed for subjects with COPD that encompasses tasks considered challenging in the subjects' routine34 and is associated with other health outcomes.49-51 Subjects performing TGlittre in ≥ 3.5 min were approximately 8-fold more likely to present mMRC ≥ 2, reinforcing the role of dyspnea in limiting ADLs and reflecting an important warning about PADL impairments in subjects with worse TGlittre performance.
The instruments used as anchors in this study present well-established cutoff points,11-13 and their outcomes are predictors of mortality in subjects with COPD.9,11 mMRC cutoff point of 2 was found for all anchors with AUC above or very close to the satisfactory threshold.40 The same was observed for CAT but with different cutoff points to discriminate severe physical inactivity and sedentary behavior. In practice, these outcomes are confounded since one patient may be classified as physically active but still present sedentary behavior and perform activities with low energy expenditure throughout the day.52 Therefore, the choice of using CAT cutoff points (16 and 20) must consider specific goals. Moreover, it was not possible to determine CAT cutoff point to discriminate physical inactivity level.
The time spent monitoring PADL probably influenced our results. However, previous studies demonstrated that data collected in 2 days produce reliable results.17,53 Also, GOLD I patients were not included in this study; therefore, results should not be extrapolated to patients with mild pulmonary function impairment. This study will support health professionals to use mMRC and CAT to identify patients with low PADL levels and better guide nonpharmacologic strategies to reduce the effects of sedentary behavior and physical inactivity in this patient population. However, although valuable, mMRC and CAT scores and their cutoff points are not a surrogate for accelerometer data.
Conclusions
The mMRC cutoff point of 2 (< 2 and ≥ 2) is recommended to discriminate PADL level and sedentary behavior, whereas CAT cutoff points of 16 (< 16 and ≥ 16) and 20 (< 20 and ≥ 20) discriminated severe physical inactivity and sedentary behavior, respectively, in subjects with COPD with moderate to very severe pulmonary function impairment. These cutoff points also differentiated pulmonary function, HRQOL, functional and exercise capacity, ADL limitation, PADL level, and potential risk of death in subjects with COPD. Our study confirmed that mMRC and CAT could easily identify physical inactivity and sedentary behavior of subjects with COPD in routine clinical practice.
Footnotes
- Correspondence: Anamaria Fleig Mayer PhD, Departamento de Fisioterapia - Núcleo de Assistência, Ensino e Pesquisa em Reabilitação Pulmonar – UDESC, Rua Pascoal Simone, 358. CEP 88080–350, Florianópolis-Santa Catarina, Brazil. E-mail: anamaria.mayer{at}udesc.br
The authors have disclosed no conflicts of interest.
This study was performed at Universidade do Estado de Santa Catarina (UDESC), Florianópolis, Santa Catarina, Brazil.
This study was financed by Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Brazil (CAPES), finance code 001, and by the Fundação de Amparo à Pesquisa e Inovação do Estado de Santa Catarina, FAPESC/Brazil (PAP UDESC (Chamada Pública N° 04/2018-Termo de Outorga 2019TR658).
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