Abstract
Objectives: The effect of the co-occurrence of whole-body muscle wasting and respiratory muscle weakness on the clinical characteristics of patients with chronic obstructive pulmonary disease (COPD) is unclear. We investigated this association in patients with chronic respiratory diseases. Methods: 47 outpatients with mild to very severe COPD were classified into four groups according to their fat-free mass index and respiratory muscle strength: 19 without muscle wasting and respiratory muscle weakness (normal), 6 with muscle wasting only (MW), 11 with respiratory weakness only (RW), and 11 with muscle wasting and respiratory weakness (MW + RW). We measured their body composition, pulmonary function, lower muscle strength, submaximal exercise capacity, physical activity in daily life, nutritional status, frailty status, and health-related quality of life (QOL). Multiple linear regression analyses examined the association of muscle wasting and/or respiratory muscle weakness with participant characteristics, using each participant’s characteristics as an explained variable adjusted for confounding variables (Normal as the reference). Results: The regression analysis revealed that the percentage of vital capacity, lower muscle strength, submaximal exercise capacity, nutritional status, and frailty status were worse in the MW + RW group than in the Normal group. The MR + RW group had the largest number of variables with significant differences compared to the Normal group. Conclusions: These data suggest that the co-occurrence of whole-body muscle wasting and respiratory muscle weakness was significantly associated with deteriorating clinical characteristics in patients with COPD.
Keywords: Muscle strength, Muscular atrophy, Chronic obstructive pulmonary disease, Respiratory muscles
Introduction
Sarcopenia is registered as a disease code in the 10th edition of the International Classification of Diseases1,2), and it has been reported to be associated with cardiovascular and respiratory diseases3,4) and subsequent progression to a state requiring long-term care and death5,6). In recent years, the concept of respiratory sarcopenia has begun to be newly proposed. Peak expiratory flow rate (PEFR) is associated with a decrease in muscle mass, and respiratory sarcopenia can be a risk factor for requiring long-term care insurance certification7). Inspiratory muscle strength is correlated with lower extremity function and exercise capacity in patients with chronic obstructive pulmonary disease (COPD)8). Nagano et al.9) have reported the concept of respiratory sarcopenia, which is the co-occurrence of whole-body sarcopenia, defined as sarcopenia1), and respiratory muscle weakness. This was recently issued as probable respiratory sarcopenia by the joint meeting of four academic societies10). Probable respiratory sarcopenia can be associated with further worsened clinical characteristics of COPD and adversely affect their prognosis because each factor is an established risk factor for poor prognosis. However, there is insufficient evidence for the presence of probable respiratory sarcopenia and its associations with clinical characteristics in patients with COPD.
Therefore, the purpose of this study is to describe the prevalence of the co-occurrence of whole-body muscle wasting, defined by the fat-free mass index (FFMI), and respiratory muscle weakness, and to explore the associations between these factors and the clinical characteristics of patients with COPD. Revealing this question can be useful information for recognizing the importance of the clinical significance of a probable-respiratory sarcopenia diagnosis and its management.
Methods
Participants and study design
This study was a cross-sectional study. 47 outpatients with mild to very severe COPD undergoing home-based pulmonary rehabilitation with low-intensity exercise at Akita City Hospital were enrolled in the study. Medication prescriptions for the patients included long-acting muscarinic antagonists or/and β2 agonists, inhaled corticosteroids, and short-acting β2 agonists as necessary. All patients were retired and met the following inclusion criteria: (1) diagnosis of COPD according to the Global Initiative for Chronic Obstructive Lung Disease11); (2) being in a stable condition with no infection or exacerbation of COPD in the prior 3 months; (3) having no severe and/or unstable cardiac disease, orthopedic disease, or mental disorder that could impair their activities in daily life. The detailed comorbidities in the patients are as follows: 4 osteoporosis, 5 diabetes, 10 chronic heart failure, 14 hypertension, 3 anemia, 8 hyperlipidemia, 1 chronic renal failure, 5 arthritis, and 7 spinal canal stenosis.
Study protocol
The assessment of body composition, pulmonary function, skeletal muscle strength (quadriceps femoris muscle force [QF]), inspiratory muscle strength (maximal inspiratory pressure [MIP]), submaximal exercise capacity (six-minute walk distance [6MWD]), physical activity in daily life (steps), dyspnea (modified Medical Research Council [mMRC]12)), disease-specific health-related quality of life (COPD Assessment Test [CAT]13)), nutritional status (Mini Nutritional Assessment-short form [MNA-SF]14)), and frailty status (Kihon checklist [KCL]15), Cardiovascular Health Study [the J-CHS]16)) were performed by well-trained physical therapists who were independent of this study. The methods for these outcomes are described in detail in Appendix 1.
Whole-body muscle wasting was assessed using FFMI; FFMI <16 kg/m2 for males and <15 kg/m2 for females17), and respiratory muscle weakness was evaluated using MIP; <60 cmH2O for males and <40 cmH2O for females18). Participants were classified into four groups: no muscle wasting and no respiratory weakness (Normal), muscle wasting and no respiratory weakness (muscle wasting [MW]), no muscle wasting and respiratory weakness (respiratory weakness [RW]), and muscle wasting and respiratory weakness (MW + RW).
This study was approved by the medical ethical committee of Akita City Hospital (Date: March 28, 2019, Approval No. 109). Written consent was obtained after the objective and content of the study were orally explained to the participants. All participants were informed that their privacy would be sufficiently protected. All procedures were performed in accordance with the research ethics guidelines of the Declaration of Helsinki19).
Statistical analysis
Statistical analyses were performed using the R statistical software version 4.0.5 (R Project for Statistical Computing) within RStudio version 1.4.1106 (RStudio, Boston, Massachusetts, USA). We chose complete case analysis to deal with missing data. Normality in data distribution was assessed using the Kolmogorov–Smirnov test with p-values <0.05 considered significant.
Multiple linear regression analyses were performed to test the association of muscle wasting and respiratory muscle weakness status with the participant’s characteristics. This analysis can compare each variable of the Normal group with the other three groups respectively. We used each participant’s characteristic as an explained variable, muscle wasting and low respiratory muscle strength status as an explanatory variable (Normal, MW only, RW only, and MW + RW), and age, sex, and disease severity, presented by the percent predicted value of forced expiratory volume in one second (FEV1), as biological and pathological confounding variables influencing their prognosis20). We set the Normal group as the reference in the analyses. The participant’s characteristics included the percent predicted value of vital capacity (VC) and forced vital capacity (FVC), mMRC, CAT, 6MWD, QF, steps, MNA-SF, KCL, and J-CHS score. All data analyses should be interpreted as explanatory data analyses because numerous tests were performed.
Results
From the 47 patients considered in the analysis, 19 (40.4%) were classified as Normal, 6 (12.8%) were classified as MW, 11 (23.4%) were classified as RW, and 11 (23.4%) were classified as MW + RW. The demographic and clinical characteristics of the patients are presented in Appendix 2.
Table 1 presents the association of muscle wasting and respiratory muscle weakness status with the participant’s characteristics after adjustments for age, sex, and lung function. MW and MW + RW groups presented, in comparison with Normal as a reference, significantly higher CAT scores and lower MNA-SF scores. The RW and MW + RW groups presented significantly lower VC%pred and 6MWD. All groups presented lower QF compared to the Normal group. In addition, the MW + RW group only presented lower FVC%pred, higher KCL, and J-CHS scores. The RW group only presented a higher mMRC. The MR + RW group had the largest number of variables with significant differences compared to the normal group.
Table 1. Multiple regression analysis for muscle wasting and low respiratory muscle strength status using clinical characteristics.
Variables | MW (n = 6) | RW (n = 11) | MW + RM (n = 11) |
---|---|---|---|
VC, %pred | |||
β [95% CI] | −14 [−29, 2.1] | −17 [−30, −3.0] | −26 [−39, −13] |
p-value | 0.1 | 0.021 | <0.001 |
FVC, %pred | |||
β [95% CI] | −12 [−27, 3.4] | −13 [−27, 0.23] | −28 [−41, −16] |
p-value | 0.14 | 0.061 | <0.001 |
mMRC | |||
β [95% CI] | −0.08 [−0.84, 0.68] | 0.85 [0.19, 1.5] | 0.31 [−0.32, 0.93] |
p-value | 0.8 | 0.015 | 0.3 |
CAT, points | |||
β [95% CI] | 8.4 [1.6, 15] | 1.8 [−4.1, 7.6] | 7.1 [1.6, 13] |
p-value | 0.02 | 0.6 | 0.016 |
6MWD, m | |||
β [95% CI] | −103 [−205, −1.0] | −139 [−227, −51] | −164 [−248, −80] |
p-value | 0.055 | 0.004 | <0.001 |
QF, kg | |||
β [95% CI] | −16 [−27, −4.5] | −9.9 [−20, −0.27] | −15 [−24, −5.8] |
p-value | 0.009 | 0.051 | 0.003 |
Steps, steps/day | |||
β [95% CI] | 1014 [−2,271, 4,299] | −1200 [−3,965, 1,564] | −2066 [−4,614, 483] |
p-value | 0.5 | 0.4 | 0.12 |
MNA-SF, points | |||
β [95% CI] | −3.1 [−4.8, −1.3] | −0.78 [−2.3, 0.71] | −4.2 [−5.7, −2.7] |
p-value | 0.001 | 0.3 | <0.001 |
KCL, points | |||
β [95% CI] | 0.16 [−0.18, 0.51] | 0.29 [−0.01, 0.58] | 0.36 [0.08, 0.64] |
p-value | 0.4 | 0.065 | 0.017 |
J-CHS score, points | |||
β [95% CI] | 0.52 [−0.43, 1.5] | 0.32 [−0.50, 1.1] | 0.87 [0.09, 1.7] |
p-value | 0.3 | 0.4 | 0.035 |
Regression coefficient (β) adjusted for age, sex, and FEV1%pred is expressed as differences from Normal (n = 19) as reference.
CI, confidence interval; FEV1, forced expiratory volume in the first second; MW, muscle wasting; RW, respiratory weakness; VC, vital capacity; FVC, forced vital capacity; mMRC, modified Medical Research Council; 6MWD, six-minute walk distance; CAT, COPD Assessment Test; QF, quadriceps femoris muscle force; MNA-SF, Mini Nutritional Assessment-short form; KCL, Kihon Checklist; J-CHS, Japanese version of Cardiovascular Health Study criteria
Discussion
The results of this investigation revealed a cross-sectional association with clinical features after stratification into whole-body muscle wasting and respiratory muscle weakness status, compared to patients without these conditions, in patients with COPD. Patients with MW + RW presented various deteriorations in physical functions, especially in lung capacity, lower limb muscle strength, and exercise capacity, frailty status, and health-related QOL, which must be recognized as clinical importance of probable-respiratory sarcopenia diagnosis and its management.
VC, mMRC, and 6MWD in the RW group declined compared to the Normal group. The relationship between respiratory function and inspiratory muscle strength has been shown in accordance with previous studies7). Singer et al.8) have reported that reduced respiratory muscle strength was associated with decreased exercise capacity in patients with COPD. The RW group was matched with respiratory muscle weakness due to respiratory dysfunction, as defined in the position paper10). Diaphragmatic dysfunction, which is caused by specific pathologies in patients with COPD (such as lung hyperinflation, oxidative stress, systemic inflammation, and malnutrition), can lead to increased dyspnea by increasing respiratory muscle fatigue and decreasing endurance21).
The MW group presented significantly worse CAT, QF, and MNA-SF scores compared to the Normal group. It has been reported that 25%–40% of patients with COPD are malnourished22,23). The MNA-SF was clearly associated with the malnutrition status of patients with MW, which was presented as low FFMI in this study. Patients with sarcopenia in COPD exhibit reduced respiratory function, exercise tolerance, and quality of life24). The findings in the MW group are in accordance with previous studies. Moreover, the addition of respiratory muscle weakness to MW (MW + RW group) resulted in significantly worse VC%pred, FVC%pred, CAT, 6MWD, QF, MNA-SF, KCL, and J-CHS scores compared to the Normal group, which suggests that the MW + RW group exhibits more indicators of reduced function than the other two groups. This has been shown to deteriorate the clinical features unique to COPD, which have not been shown in previous studies involving healthy older individuals7,10). Since the amount of physical activity tends to decrease, it is thought that there was no significant change in mMRC because the participants were living without dyspnea. This may also have an effect on the significant difference in the index of long-term care risk, which has only been observed in the MW + RW group, who are almost matched as probable respiratory sarcopenia, as suggested by the position paper. Kera et al. have reported that PEFR can be significantly correlated with long-term care insurance certification in community-dwelling older people7). This association, as a link between decreased cough peak flow and aspiration-related pneumonia, has been mentioned. The review reported that the diaphragm is the most important inspiratory muscle and the maximum inspiratory pressure is an independent determinant of survival in patients with severe COPD21). Thus, it may be suggested that conventional sarcopenia, which affects long-term care and mortality, combined with respiratory muscle weakness as expressed by inspiratory muscle strength, is more likely to lead to frailty and the risk of long-term care. As proposed by the position paper10), the reduction of respiratory muscle mass is essential for the definitive diagnosis of respiratory sarcopenia; however, it is difficult to measure in clinical settings. Therefore, probable-respiratory sarcopenia, which can be diagnosed without measuring respiratory muscle mass, leads to greater functional decline than conventional sarcopenia alone and should be a focus of clinical attention.
The prevalence of MW + RW, which is more deteriorating than their individual parameters, was 23.4% in this study. Morisawa et al.25) reported that the prevalence of cases with inspiratory muscle weakness and conventional sarcopenia, similar to those in this study, was observed in 12% of community-dwelling older people. The prevalence in patients with COPD might be higher than that in community-dwelling older people, considering that the prevalence of whole-body sarcopenia is 21.6%26) and their %MIP decreases as the disease progresses8). In addition, it has been reported that there is a case in which respiratory muscle weakness occurs even without whole-body sarcopenia in community-dwelling older people25), which was observed in 23.4% of patients with COPD in the present study. This seems to be the result of some individuals, even if the whole-body muscle mass is maintained, who have diaphragmatic dysfunction due to the pathophysiology peculiar to COPD21).
An important limitation of the present study must be addressed. First, the number of patients recruited in each group was a small sample size in the single-centered study. Therefore, the results do not reflect those of all stable COPD patients. However, the number of samples in the linear regression analyses of this study could satisfy the minimum number of subjects per variable for estimating regression coefficients27). Although age, gender, and disease severity were used as confounding variables in regression analyses, other factors, such as differences in comorbidities, smoking status, and pharmacotherapy, which could have an influence on the association of muscle wasting and respiratory muscle weakness status with the participant’s characteristics, were not taken into consideration to ensure the accuracy of the calculated estimating regression coefficients. In addition, the generalizability of the study results may be poor due to fewer patients with severe COPD especially. Second, the grouping criteria for muscle wasting are based on FFMI rather than skeletal muscle mass index. It is desirable to divide the groups using the criteria of the Asian Working Group for Sarcopenia 201928) as the position paper suggested. Further studies with a larger sample size are required to conduct multivariate analyses that consider other confounding factors so that the associations with more parameters on the status of respiratory sarcopenia can be clarified.
Conclusions
In summary, our present findings demonstrated a cross-sectional association between clinical features and the prevalence of the status with whole-body muscle wasting and respiratory muscle weakness in patients with COPD. The MW + RW group, which is almost matched as probable respiratory sarcopenia, as suggested by the position paper, is 23.4% in this study. They had a larger number of variables, including frailty, with significant deterioration compared to the Normal group than the MW and RW groups. Further studies are needed to investigate the association between clinical features and patients with respiratory sarcopenia, stratified using verified criteria, with a larger sample size.
Acknowledgments
The authors acknowledge the assistance provided by members of the Department of Rehabilitation at Akita City Hospital for data collection. We would also like to thank Editage (www.editage.jp) for editing the English language.
Funding
Not applicable.
Conflicts of Interest
The authors declare no conflicts of interest.
Supplementary Materials
Outcome measures.
Demographic and clinical characteristics of the participants with COPD stratified into muscle wasting and low respiratory muscle strength status.
References
- 1).Cao Li, Morley JE: Sarcopenia is recognized as an independent condition by an International Classification of Disease, Tenth Revision, Clinical Modification (ICD-10-CM) Code. J Am Med Dir Assoc. 2016; 17: 675–677. [DOI] [PubMed] [Google Scholar]
- 2).Vellas B, Fielding RA, et al.: Implications of ICD-10 for sarcopenia clinical practice and clinical trials: report by the International Conference on Frality and Sarcopenia Research Task Force. J Frailty Aging. 2018; 7: 2–9. [DOI] [PubMed] [Google Scholar]
- 3).Bahat G, Ilhan B: Sarcopenia and the cardiometabolic syndrome: a narrative review. Eur Geriatr Med. 2016; 6: 220–223. [Google Scholar]
- 4).Bone AE, Hepgul N, et al.: Sarcopenia and frailty in chronic respiratory disease: Lessons from gerontology. Chron Respir Dis. 2017; 14: 85–99. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5).Akune T, Muraki S, et al.: Incidence of certified need of care in the long-term care insurance system and its risk factors in the elderly of Japanese population-based cohorts: the ROAD study. Geriatr Gerontol Int. 2014; 14: 695–701. [DOI] [PubMed] [Google Scholar]
- 6).De Buyser SL, Petrovic M, et al.: Validation of the FNIH sarcopenia criteria and SOF frailty index as predictors of long-term mortality in ambulatory older men. Age Ageing. 2016; 45: 602–608. [DOI] [PubMed] [Google Scholar]
- 7).Kera T, Kawai H, et al.: Definition of respiratory sarcopenia with peak expiratory flow rate. J Am Med Dir Assoc. 2019; 20: 1021–1025. [DOI] [PubMed] [Google Scholar]
- 8).Singer J, Yelin EH, Katz PP, et al.: Respiratory and skeletal muscle strength in chronic obstructive pulmonary disease: impact on exercise capacity and lower extremity function. J Cardiopulm Rehabil Prev. 2011 Mar–Apr; 31(2): 111–119. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9).Nagano A, Wakabayashi H, et al.: Respiratory sarcopenia and sarcopenic respiratory disability: concepts, diagnosis, and treatment. J Nutr Health Aging. 2021; 25: 507–515. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10).Sato S, Miyazaki S, et al.: Respiratory sarcopenia: a position paper by four professional organizations. Geriatr Gerontol Int. 2023; 23: 5–15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11).Global Initiative for Chronic Obstructive Lung Disease: Global strategy for the diagnosis, management and prevention of chronic obstructive pulmonary disease. Bethesda: National Heart, Lung, and Blood Institute; 2017. [cited 17 Apr 2017]. Available from: https://goldcopd.org/wp-content/uploads/2017/02/wms-GOLD-2017-FINAL.pdf. [Google Scholar]
- 12).Celli BR, MacNee W, et al.: Standards for the diagnosis and treatment of patients with COPD: a summary of the ATS/ERS position paper. Eur Respir J. 2004; 23: 932–946. [DOI] [PubMed] [Google Scholar]
- 13).Jones PW, Harding G, et al.: Development and first validation of the COPD Assessment Test. Eur Respir J. 2009; 34: 648–654. [DOI] [PubMed] [Google Scholar]
- 14).Van Nes MC, Herrmann FR, et al.: Does the mini nutritional assessment predict hospitalization outcomes in older people? Age Ageing. 2001; 30: 221–226. [DOI] [PubMed] [Google Scholar]
- 15).Japan Ministry of Health Labor and welfare: Manual of services of care prevention benefits. 2014. [cited 08 Nov 2019]. Available from: http://www.mhlw.go.jp/topics/2009/05/tp0501-1.html. (in Japanese)
- 16).Sakata S, Arai H: The revised Japanese version of the Cardiovascular Health Study criteria (revised J-CHS criteria). Geriatr Gerontol Int. 2020; 20: 992–993. [DOI] [PubMed] [Google Scholar]
- 17).Van Helvoort HA, Heijdra YF, et al.: Exercise-induced systemic effects in muscle-wasted patients with COPD. Med Sci Sports Exerc. 2006; 38: 1543–1552. [DOI] [PubMed] [Google Scholar]
- 18).Evans JA, Whitelaw WA: The assessment of maximal respiratory mouth pressures in adults. Respir Care. 2009; 54: 1348–1359. [PubMed] [Google Scholar]
- 19).World Medical Association Declaration of HELSINKI Ethical Principles for Medical Research Involving Human Subjects. Adapted by 64th WMA General Assembly. Brazil, 2013 Oct. [cited 27 Feb 2019]. Available from: https://www.wma.net/policies-post/wma-declaration-of-helsinki-ethical-principles-for-medical-research-involving-human-subjects/. [Google Scholar]
- 20).Furlanetto KC, Donária L, et al.: Sedentary behavior is an independent predictor of mortality in subjects with COPD. Respir Care. 2017; 62: 579–587. [DOI] [PubMed] [Google Scholar]
- 21).Cao Y, Li P, et al.: Diaphragm dysfunction and rehabilitation strategy in patients with chronic obstructive pulmonary disease. Front Physiol. 2022; 13: 872277. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22).Cano NJ, Pichard C, et al.: C-reactive protein and body mass index predict outcome in end-stage respiratory failure. Chest. 2004; 126: 540–546. [DOI] [PubMed] [Google Scholar]
- 23).Vermeeren MA, Creutzberg EC, et al.: Prevalence of nutritional depletion in a large out-patient population of patients with COPD. Respir Med. 2006; 100: 1349–1355. [DOI] [PubMed] [Google Scholar]
- 24).Sepúlveda-Loyola W, Osadnik C, et al.: Diagnosis, prevalence, and clinical impact of sarcopenia in COPD: a systematic review and meta-analysis. J Cachexia Sarcopenia Muscle. 2020; 11: 1164–1176. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25).Morisawa T, Kunieda Y, et al.: The relationship between sarcopenia and respiratory muscle weakness in community-dwelling older adults. Int J Environ Res Public Health. 2021; 18: 13257. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26).Benz E, Trajanoska K, et al.: Sarcopenia in COPD: a systematic review and meta-analysis. Eur Respir Rev. 2019; 28: 190049. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27).Austin PC, Steyerberg EW: The number of subjects per variable required in linear regression analyses. J Clin Epidemiol. 2015; 68: 627–636. [DOI] [PubMed] [Google Scholar]
- 28).Chen LK, Woo J, et al.: Asian Working Group for Sarcopenia: 2019 consensus update on sarcopenia diagnosis and treatment. J Am Med Dir Assoc. 2020; 21: 300–307. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Outcome measures.
Demographic and clinical characteristics of the participants with COPD stratified into muscle wasting and low respiratory muscle strength status.