A close association of body cell mass loss with disease activity and disability in Chinese patients with rheumatoid arthritis

Yi-Ming Chen, Hsin-Hua Chen, Chia-Wei Hsieh, Tsu-Yi Hsieh, Joung-Liang Lan, Der-Yuan Chen, Yi-Ming Chen, Hsin-Hua Chen, Chia-Wei Hsieh, Tsu-Yi Hsieh, Joung-Liang Lan, Der-Yuan Chen

Abstract

Objectives: To investigate the association of body cell mass loss with disease activity and disability in rheumatoid arthritis patients.

Introduction: Rheumatoid cachexia, defined as the loss of body cell mass, is important but under-recognized and contributes to morbidity and mortality in patients with rheumatoid arthritis.

Methods: One hundred forty-nine rheumatoid arthritis patients and 53 healthy, non-rheumatoid arthritis control subjects underwent anthropometric measurements of body mass index and waist and hip circumferences. Bioelectrical impedance analysis was used to determine the subjects' body compositions, including fat mass, skeletal lean mass, and body cell mass. The disease activity of rheumatoid arthritis was assessed using C-reactive protein serum, the erythrocyte sedimentation rate and the 28-joint disease activity score, while disability was evaluated using a health assessment questionnaire.

Results: Rheumatoid arthritis patients had lower waist-to-hip ratio (0.86 ± 0.07 vs. 0.95 ± 0.06; p<0.001) and lower skeletal lean mass indexes (14.44 ± 1.52 vs. 15.18 ± 1.35; p = 0.002) than those in the healthy control group. Compared with rheumatoid arthritis patients with higher body cell masses, those with body cell masses lower than median had higher erythrocyte sedimentation rates (40.10 ± 27.33 vs. 25.09 ± 14.85; p<0.001), higher disease activity scores (5.36 ± 3.79 vs. 4.23 ± 1.21; p = 0.022) and greater disability as measured by health assessment questionnaire scores (1.26 ± 0.79 vs. 0.87 ± 0.79; p = 0.004).

Conclusions: The loss of body cell mass is associated with higher disease activity and greater disability in rheumatoid arthritis patients. Body composition determined by bioelectrical impedance analysis can provide valuable information for a rheumatologist to more rapidly recognize rheumatoid cachexia in rheumatoid arthritis patients.

Figures

Figure 1
Figure 1
Linear correlation between body cell mass (BCM) and body weight in (A) 149 RA patients (correlation coefficient = 0.62, p<0.001) and (B) 53 healthy control subjects, (correlation coefficient = 0.67, p<0.001) as determined by Pearson's correlation.
Figure 2
Figure 2
(A) Comparisons of body cell mass (BCM) values of RA patients with low, moderate and high levels of disease activity by analysis of variance. (B) Comparisons of BCM values of RA patients with and without disability by independent sample t-test. Values are presented as box-plot diagrams, with the box encompassing the range from the 25th percentile (lower bar) to the 75th percentile (upper bar). The horizontal line within the box indicates the median value, and the horizontal lines above and below the box represent the maximum and minimum values, respectively, for each group.

References

    1. Rall LC, Roubenoff R. Rheumatoid cachexia: metabolic abnormalities, mechanisms and interventions. Rheumatology (Oxford) 2004;43:1219–23.
    1. Roubenoff R. The pathophysiology of wasting in the elderly. J Nutr. 1999;129((Suppl 12)):256–9.
    1. Roubenoff R, Roubenoff RA, Cannon JG, Kehayias JJ, Zhuang H, Dawson-Hughes B, et al. Rheumatoid cachexia: cytokine-driven hypermetabolism accompanying reduced body cell mass in chronic inflammation. J Clin Invest. 1994;93:2379–86.
    1. Paget SJ. Nervous mimicry of organic diseases. Lancet. 1873;2:727–729.
    1. Kotler DP. Cachexia. Ann Intern Med. 2000;133:622–34.
    1. Summers GD, Deighton CM, Rennie MJ, Booth AH. Rheumatoid cachexia: a clinical perspective. Rheumatology (Oxford) 2008;47:1124–31.
    1. Roubenoff R, Roubenoff RA, Ward LM, Holland SM, Hellmann DB. Rheumatoid cachexia: depletion of lean body mass in rheumatoid arthritis. Possible association with tumor necrosis factor. J Rheumatol. 1992;19:1505–10.
    1. Rall LC, Roubenoff R. Rheumatoid cachexia: metabolic abnormalities, mechanisms and interventions. Rheumatology (Oxford) 2004;43:1219–23.
    1. Giles JT, Ling SM, Ferrucci L, Bartlett SJ, Andersen RE, Towns M, et al. Abnormal body composition phenotypes in older rheumatoid arthritis patients: association with disease characteristics and pharmacotherapies. Arthritis Rheum. 2008;59:807–15.
    1. Marcora SM, Lemmey AB, Maddison PJ. Can progressive resistance training reverse cachexia in patients with rheumatoid arthritis. Results of a pilot study. J Rheumatol. 2005;32:1031–9.
    1. Marcora SM, Chester KR, Mittal G, Lemmey AB, Maddison PJ. Randomized phase 2 trial of anti-tumor necrosis factor therapy for cachexia in patients with early rheumatoid arthritis. Am J Clin Nutr. 2006;84:1463–72.
    1. Metsios GS, Stavropoulos-Kalinoglou A, Douglas KM, Koutedakis Y, Nevill AM, Panoulas VF, et al. Blockade of tumour necrosis factor alpha in rheumatoid arthritis: effects on components of rheumatoid cachexia. Rheumatology. 2007;46:1824–7.
    1. Kyle UG, Genton L, Hans D, Karsegard L, Slosman DO, Pichard C. Age-related differences in fat-free mass, skeletal muscle, body cell mass and fat mass between 18 and 94 years. Eur J Clin Nutr. 2001;55:663–72.
    1. Pichard C, Kyle UG. Body conposition measurements during wasting diseases. Curr Opin Clin Nutr Metab Care. 1998;1:357–61.
    1. Slosman DO, Casez J-P, Pichard C, Rochat T, Fery F, Rizzoli R, et al. Assessment of whole-body composition with dual-energy X-ray absorptiometry. Radiology. 1992;185:593–7.
    1. Ellis KJ. Human body composition: in vivo methods. Physiol Rev. 2000;80:649–80.
    1. Arnett FC, Edworthy SM, Bloch DA, McShane DJ, Fries JF, Cooper NS, et al. The American Rheumatism Association 1987 revised criteria for the classification of rheumatoid arthritis. Arthritis Rheum. 1988;31:315–24.
    1. Bedogni G, Malavolti M, Severi S, Poli M, Mussi C, Fantuzzi AL, et al. Accuracy of an eight-point tactile-electrode impedance method in the assessment of total body water. Eur J Clin Nutr. 2002;56:1143–8.
    1. Gibson AL, Holmes JC, Desautels RL, Edmonds LB, Nuudi L. Ability of new octapolar bioimpedance spectroscopy analyzers to predict 4-component–model percentage body fat in Hispanic, black, and white adults. Am J Clin Nutr. 2008;87:332–8.
    1. Völgyi E, Tylavsky FA, Lyytikäinen A, Suominen H, Alén M, Cheng S. Assessing body composition with DXA and bioimpedance: effects of obesity, physical activity, and age. Obesity (Silver Spring) 2008;16:700–5.
    1. Kotler DP, Burastero S, Wang J, Pierson RN., Jr Prediction of body cell mass, fat-free mass, and total body water with bioelectrical impedance analysis. Effects of race, sex, and disease. Am J Clin Nutr. 1996;64((Suppl 3)):489–97.
    1. Prevoo ML, van 't Hof MA, Kuper HH, van Leeuwen MA, van de Putte LB, van Riel PL. Modified disease activity scores that include twenty-eight-joint counts. Development and validation in a prospective longitudinal study of patients with rheumatoid arthritis. Arthritis Rheum. 1995;38:44–8.
    1. Van Gestel AM, Haagsma CJ, Van Riel PLCM. Validation of rheumatoid arthritis improvement criteria that include simplified joint counts. Arthritis Rheum. 1998;41:1845–50.
    1. Fries JF, Spitz P, Kraines RG, Holman HR. Measurement of patient outcome in arthritis. Arthritis Rheum. 1980;23:137–45.
    1. Sokka T, Krishnan E, Häkkinen A, Hannonen P. Functional disability in rheumatoid arthritis patients compared with a community population in Finland. Arthritis Rheum. 2003;48:59–63.
    1. Wang Z, St-Onge MP, Lecumberri B, Pi-Sunyer FX, Heshka S, Wang J, et al. Body cell mass:model development and validation at the cellular level of body composition. Am J Physiol Endocrinol Metab. 2003;286:E123–8.
    1. Roubenoff R, Rall LC. Humoral mediation of changing body composition during aging and chronic inflammation. Nutr Rev. 1993;51:1–11.
    1. Roubenoff R, Heymsfield SB, Kehayias J, Cannon JG, Rosenberg IH. Standardization of nomenclature of body composition. Am J Clin Nutr. 1997;66:192–6.
    1. Roubenoff R, Walsmith J, Lundgren N, Snydman L, Dolnikowski G, Roberts S. Low physical activity reduces total energy expenditure in women with rheumatoid arthritis: implications for dietary intake recommendations. Am J Clin Nutr. 2002;76:774–9.
    1. Stavropoulos-Kalinoglou A, Metsios GS, Koutedakis Y, Nevill AM, Douglas KM, Jamurtas A, et al. Redefining overweight and obesity in rheumatoid arthritis patients. Ann Rheum Dis. 2007;66:1316–21.
    1. Aletaha D, Smolen J, Ward MM. Measuring function in rheumatoid arthritis: identifying reversible and irreversible components. Arthritis Rheum. 2006;54:2784–92.
    1. Visser M, Langlois J, Guralnik JM, Cauley JA, Kronmal RA, Robbins J, et al. High body fatness, but not low fat-free mass, predicts disability in older men and women: the Cardiovascular Health Study. Am J Clin Nutr. 1998;68:584–90.
    1. Giles JT, Bartlett SJ, Andersen RE, Fontaine KR, Bathon JM. Association of Body Composition With Disability in Rheumatoid Arthritis: Impact of Appendicular Fat and Lean Tissue Mass. Arthritis Rheum. 2008;59:1407–15.
    1. Metsios GS, Stavropoulos-Kalinoglou A, Nevill AM, Douglas KMJ, Koutedakis Y, Kitas GD. Smoking significantly increases basal metabolic rate in patients with rheumatoid arthritis. Ann Rheum Dis. 2008;67:70–3.
    1. Stavropoulos-Kalinoglou A, Metsios GS, Panoulas VF, Douglas KM, Nevill AM, Jamurtas AZ, et al. Cigarette smoking associates with body weight and muscle mass of patients with rheumatoid arthritis: a cross-sectional, observational study. Arthritis Res Ther. 2008;10:R59.

Source: PubMed

3
Se inscrever