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Observational Study
. 2021 May 17:16:1381-1392.
doi: 10.2147/COPD.S295885. eCollection 2021.

Physical Frailty in COPD Patients with Chronic Respiratory Failure

Sarah Gephine  1   2 , Patrick Mucci  1 , Jean-Marie Grosbois  3 , François Maltais  2 , Didier Saey  2
Affiliations
Observational Study

Physical Frailty in COPD Patients with Chronic Respiratory Failure

Sarah Gephine et al. Int J Chron Obstruct Pulmon Dis. .

Abstract

Background: The prevalence of physical frailty and its clinical characteristics in advanced chronic obstructive pulmonary disease (COPD) is unknown, as well as the usefulness of functional capacity tests to screen for physical frailty. The aim of the study was to evaluate the proportion and clinical portrait of COPD patients with chronic respiratory failure exhibiting physical frailty at the time of referral to home-based pulmonary rehabilitation. We also evaluate the usefulness of the short physical performance battery (SPPB) and timed-up and go (TUG) as potential screening tools for physical frailty. Finally, we evaluated the specific contribution of gait speed to the frailty Fried total score.

Methods: This was a prospective observational study in which physical frailty was defined using Fried criteria (body mass loss, exhaustion, low physical activity, slower walking and weakness). Clinical portrait was documented from daily physical activity, exercise tolerance, functional capacity, anxiety and depressive symptoms, health-related quality of life, and fatigue scores. The ability of the SPPB and TUG to predict physical frailty was investigated using receiver operating characteristic curves. Contribution of each Fried criteria was evaluated with a principal component analysis (PCA).

Results: Amongst the 44 included participants (FEV1, 33 ± 13% of predicted), 19 were physically frail. Frail individuals had lower daily steps number, exercise tolerance and functional capacity, and higher fatigue, anxiety, and depressive symptom scores (p<0.05) compared to non-frail individuals. SPPB and TUG did not have an acceptable detection accuracy for screening physical frailty. PCA indicated that gait speed was the main contributor to the Fried total score of physical frailty.

Conclusion: Physical frailty affects a large proportion of COPD patients with chronic respiratory failure starting a home-based intervention and was associated with worse clinical status. Although the present results need to be confirmed by adequately powered studies, gait speed seems to have the potential to become a simple screening tool for physical frailty in this population.

Keywords: chronic respiratory failure; frailty; gait speed; pulmonary rehabilitation.

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Conflict of interest statement

Sarah Gephine reports PhD salary from University of Lille and that the delivery of home-based PR was financially supported by Adair, Aeris Santé, Bastide, France Oxygène, Homeperf, LVL, Medopale, NorOx, Santélys, SOS Oxygène, Sysmed, VitalAire, and ARS Hauts-de-France during the conduct of the study. Jean-Marie Grosbois reports personal fees unrelated to the submitted work from AstraZeneca, Boehringer Ingelheim, Chiesi, GlaxoSmithKlein, Novartis, Vitalaire, and CSL Behring, and that FormAction Santé received financial support for the home-based program from Adair, Aeris Santé, Bastide, France Oxygène, Homeperf, LVL Medical, Medopale, NorOx, Santélys, Santeo, SOS Oxygène, Sysmed, VitalAire and the ARS Hauts de France. François Maltais reports grants from GlaxoSmithKline, AstraZeneca, Sanofi, Novartis, Boehringer Ingelheim, and Grifols, personal fees from GlaxoSmithKline, Boehringer Ingelheim, Grifols, and Novartis, and reports having a financial participation in Oxynov, a company which is developing an oxygen delivery systemoutside the submitted work. The funders played no role in the design, conduct or reporting of this study. The authors report no other potential conflicts of interest in this work.

Figures

Figure 1
Figure 1
Prevalence of physical frailty criteria in frail and non-frail individuals.
Figure 2
Figure 2
Daily physical activity levels defined by the number of steps (A) and the number of time spent in sedentary (B), light (C) and moderate (D) activities in minutes. Values are mean ± SD. *p<0.05 frail versus non-frail. Since neither group spent any time in vigorous activity, this physical activity parameter is not presented.
Figure 3
Figure 3
ROC curves of the SPPB and TUG as predictors of physical frailty.
Figure 4
Figure 4
Principal component analysis of the first two principal components of physical frailty. Principal component analysis (PCA) is a simple graphical display used to study the overall structure of the dataset and to obtain a visual understanding of relationships between the included variables (ie, Fried criteria). On this graphical representation, the closer a variable is to the external boundary the larger is its contribution to the component. PCA analysis indicated that the first component and the second component explained 31.2% and 26.2% of the variance of the physical frailty score, respectively. On the first component, 4MGS had the highest positive loading, while on the second component, weakness had the highest positive loading. Cumulatively, components 1 and 2 explained 57.4% of the variance of physical frailty score.
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