Does the COPD assessment test reflect functional status in patients with COPD?

Gulart, Aline Almeida; Munari, Anelise Bauer; Queiroz, Ana Paula; Cani, Katerine Cristhine; Matte, Darlan Laurício; Mayer, Anamaria Fleig

doi:10.1177/1479972316661924

Cited by 25 publications

(12 citation statements)

References 36 publications

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“…14 TGlittre is responsive to PRP 10 and it is able to differentiate the functional capacity of patients with COPD from healthy individuals. 15 Also, it correlates with several other instruments for assessing functional status 10,16---19 and health status 20 of patients with COPD.…”

Section: Introductionmentioning

confidence: 90%

The minimal important difference for Glittre-ADL test in patients with chronic obstructive pulmonary disease

Gulart

Araújo

Munari

et al. 2020

Brazilian Journal of Physical Therapy

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Objective: To determine Glittre-ADL test minimal important difference in patients with chronic obstructive pulmonary disease. Methods: This is quasi-experimental study. Sixty patients with moderate to very severe chronic obstructive pulmonary disease (age 64.1, SD = 9.09 years; forced expiratory volume in the first second 37.9, SD = 13.0% predicted participated in a pulmonary rehabilitation program based on physical training, conducted over 24 sessions supervised, three times a week, including aerobic training in treadmill and resistance training for upper limbs and lower limbs. The main outcomes were the Glittre-ADL test and six-minute walk test, before and after 24 sessions of pulmonary rehabilitation. The minimal important difference was established using the distribution and anchor-based methods.

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Section: Introductionmentioning

confidence: 90%

The minimal important difference for Glittre-ADL test in patients with chronic obstructive pulmonary disease

Gulart

Araújo

Munari

et al. 2020

Brazilian Journal of Physical Therapy

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“…The COPD Assessment Test (CAT) consists of a unidirectional questionnaire that considers the individual’s perception of the disease and reflects their functional status. 11 However, whether the CAT score (CATs) could estimate peak oxygen uptake (VO 2 ) in this population has never been investigated.…”

Section: Introductionmentioning

confidence: 99%

COPD assessment test and FEV<sub>1</sub>: do they predict oxygen uptake in COPD?

Carvalho-Jr¹,

Trimer²,

Arêas³

et al. 2018

COPD

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BackgroundChronic obstructive pulmonary disease (COPD) manifests itself in complex ways, with local and systemic effects; because of this, a multifactorial approach is needed for disease evaluation, in order to understand its severity and impact on each individual. Thus, our objective was to study the correlation between easily accessible variables, usually available in clinical practice, and maximum aerobic capacity, and to determine models for peak oxygen uptake (VO2peak) estimation in COPD patients.Subjects and methodsIndividuals with COPD were selected for the study. At the first visit, clinical evaluation was performed. During the second visit, the volunteers were subjected to the cardiopulmonary exercise test. To determine the correlation coefficient of VO2peak with forced expiratory volume in 1 second (FEV1) (% pred.) and the COPD Assessment Test score (CATs), Pearson or Spearman tests were performed. VO2 at the peak of the exercise was estimated from the clinical variables by simple and multiple linear regression analyses.ResultsA total of 249 subjects were selected, 27 of whom were included after screening (gender: 21M/5F; age: 65.0±7.3 years; body mass index: 26.6±5.0 kg/m2; FEV1 (% pred.): 56.4±15.7, CAT: 12.4±7.4). Mean VO2 peak was 12.8±3.0 mL⋅kg−1⋅min−1 and VO2peak (% pred.) was 62.1%±14.9%. VO2peak presented a strong positive correlation with FEV1 (% pred.), r: 0.70, and a moderate negative correlation with the CATs, r: -0.54. In the VO2peak estimation model based on the CAT (estimated VO2peak =15.148− [0.185× CATs]), the index explained 20% of the variance, with estimated error of 2.826 mL⋅kg−1⋅min−1. In the VO2peak estimation model based on FEV1 (estimated VO2peak =6.490+ [0.113× FEV1]), the variable explained 50% of the variance, with an estimated error of 2.231 mL⋅kg−1⋅min−1. In the VO2peak estimation model based on CATs and FEV1 (estimated VO2peak =8.441− [0.0999× CAT] + [0.1000× FEV1]), the variables explained 55% of the variance, with an estimated error of 2.156 mL⋅kg−1⋅min−1.ConclusionCOPD patients’ maximum aerobic capacity has a significant correlation with easily accessible and widely used clinical variables, such as the CATs and FEV1, which can be used to estimate peak VO2.

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“… 6 It reflects the functional status of COPD patients quite well. 7 A systematic review supported the reliability and validity of the CAT and found that the tool is responsive to interventions, although the minimal clinically important difference (MCID) of 2 points is not well established. 8 , 9 Regarding the evolution of the CAT over time, only little data is available.…”

Section: Introductionmentioning

confidence: 99%

Longitudinal change of COPD assessment test (CAT) in a telehealthcare cohort is associated with exacerbation risk

Rassouli

Baty

Stolz

et al. 2017

COPD

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BackgroundThere are only scarce data regarding the evolution of the chronic obstructive pulmonary disease (COPD) assessment test (CAT) over time. Our aim was to investigate the evolution of the CAT in a telehealthcare (THC) cohort and to evaluate its potential to predict exacerbations.Patients and methodsThe CAT was measured weekly over up to 1 year in 40 COPD patients undergoing a THC intervention. The evolution of the CAT was analyzed using linear regression. The association between this evolution and the occurrence of exacerbations was evaluated using the Andersen–Gill formulation of the Cox proportional hazards model for the analysis of recurrent time-to-event data with time-varying predictors.ResultsThe median CAT at inclusion was 17 (interquartile range 13–22) points. During the study, 25% of patients had a significant negative slope (median −7 points per year [ppy]), 38% were stable (median +0 ppy) and 38% had a significant positive slope (median +6 ppy). The median slope of the CAT in the overall cohort was +1 (interquartile range −3 to +6) ppy. A significant positive association was found between the change in CAT scores and the risk of exacerbations (hazard ratio =1.08, 95% CI: 1.03–1.13; p<0.001). There was an 8% increase of the risk of exacerbation per unit increase in CAT. We detected a significant learning effect in filling out the CAT in 18.4% of patients with a median learning phase of five filled questionnaires.ConclusionSixty-three percent of the COPD patients monitored by THC experienced a stable or improved CAT during 1-year follow-up. We found a significant positive association between the evolution of the CAT over time and the risk of exacerbations. In about one-fifth of patients, there was a significant learning effect in filling out the CAT, before reliable results could be obtained. The evolution of the CAT could help to assess the risk for future exacerbations.

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Does the COPD assessment test reflect functional status in patients with COPD?

Cited by 25 publications

References 36 publications

The minimal important difference for Glittre-ADL test in patients with chronic obstructive pulmonary disease

The minimal important difference for Glittre-ADL test in patients with chronic obstructive pulmonary disease

COPD assessment test and FEV<sub>1</sub>: do they predict oxygen uptake in COPD?

Longitudinal change of COPD assessment test (CAT) in a telehealthcare cohort is associated with exacerbation risk

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