Can we diagnose sarcopenia using anterior femoral muscle thickness in patients with cardiovascular disease?

Authors

  • Taira Fukuda Department of Liberal Arts and Sciences, Kanagawa University of Human Services, Yokosuka, Kanagawa, Japan
  • Jun Yokomachi Department of Cardiovascular Medicine, Dokkyo Medical University and Heart Center, Dokkyo Medical University Hospital, Shimotsuga-gun, Tochigi, Japan
  • Suomi Yamaguchi Department of Cardiovascular Medicine, Dokkyo Medical University and Heart Center, Dokkyo Medical University Hospital, Shimotsuga-gun, Tochigi, Japan
  • Hiroshi Yagi Department of Cardiovascular Medicine, Dokkyo Medical University and Heart Center, Dokkyo Medical University Hospital, Shimotsuga-gun, Tochigi, Japan
  • Ikuko Shibasaki Department of Cardiovascular Surgery, Dokkyo Medical University, Dokkyo Medical University Hospital, Shimotsuga-gun, Tochigi, Japan
  • Yuusuke Ugata Division of Cardiovascular Medicine, Saitama Medical Center, Jichi Medical University, Saitama, Japan
  • Masashi Sakuma Department of Cardiovascular Medicine, Dokkyo Medical University and Heart Center, Dokkyo Medical University Hospital, Shimotsuga-gun, Tochigi, Japan
  • Tomohiro Yasuda School of Nursing, Seirei Christopher University, Hamamatsu, Shizuoka, Japan
  • Shichiro Abe Department of Cardiovascular Medicine, Dokkyo Medical University and Heart Center, Dokkyo Medical University Hospital, Shimotsuga-gun, Tochigi, Japan
  • Hirotsugu Fukuda Department of Cardiovascular Surgery, Dokkyo Medical University, Dokkyo Medical University Hospital, Shimotsuga-gun, Tochigi, Japan
  • Hideo Fujita Division of Cardiovascular Medicine, Saitama Medical Center, Jichi Medical University, Saitama, Japan
  • Shigeru Toyoda Department of Cardiovascular Medicine, Dokkyo Medical University and Heart Center, Dokkyo Medical University Hospital, Shimotsuga-gun, Tochigi, Japan
  • Toshiaki Nakajima Department of Cardiovascular Medicine, Dokkyo Medical University and Heart Center, Dokkyo Medical University Hospital, Shimotsuga-gun, Tochigi, Japan; Department of Medical KAATSU Training, Dokkyo Medical University, Shimotsuga-gun, Tochigi, Japan

DOI:

https://doi.org/10.2340/jrmcc.v7.12378

Keywords:

cardiovascular diseases, sarcopenia, ultrasonography

Abstract

Objective: Making the diagnosis of sarcopenia is not always easy and this is especially true for those with cardiovascular disease. The purpose of this study is to investigate whether it is possible to diagnose sarcopenia by using ultrasound-guided measurements of anterior femoral muscle thickness.

Methods: We investigated the utility of ultrasound-guided measurements of anterior femoral muscle thickness in 1075 hospitalized patients with cardiovascular disease (675 men). As a comparison, sarcopenia was assessed by skeletal muscle mass index using bioelectrical impedance analysis and the Asia Working Group for Sarcopenia criteria.

Results: When the receiver operating characteristic curve using muscle thickness was examined, we found this could be used to make the diagnosis of sarcopenia (men: cutoff value 2.425 cm, area under the curve 0.796; women: cutoff value 1.995 cm, area under the curve 0.746). The prevalence of sarcopenia according to the criteria with skeletal muscle mass index was 34.2% in men and 51.8% in women, while its prevalence according to the cutoff value of muscle thickness was 29.2% in men and 36.7% in women.

Conclusion: Ultrasound-guided measurement of the anterior femoral muscle thickness is a simple and useful method to help make the diagnosis of sarcopenia in patients with cardiovascular disease.

Downloads

Download data is not yet available.

References

Ministry of Health, Labor and Welfare White Paper, 2020. Ministry of Health, Labor and Welfare Japan [Internet]. [cited 2023 March 20]. Available from: https://www.mhlw.go.jp/english/wp/wp-hw13/dl/summary.pdf

Lexell J, Taylor CC, Sjöström M. What is the cause of the ageing atrophy? Total number, size and proportion of different fiber types studied in whole vastus lateralis muscle from 15- to 83-year-old men. J Neurol Sci 1988; 84: 275–294.

https://doi.org/10.1016/0022-510x(88)90132-3 DOI: https://doi.org/10.1016/0022-510X(88)90132-3

Doherty TJ. Invited review: aging and sarcopenia. J Appl Physiol (1985) 2003; 95: 1717–1727.

https://doi.org/10.1152/japplphysiol.00347.2003 DOI: https://doi.org/10.1152/japplphysiol.00347.2003

Sorensen J, Kondrup J, Prokopowicz J, Schiesser M, Krähenbühl L, Meier R, et al. EuroOOPS: an international, multicentre study to implement nutritional risk screening and evaluate clinical outcome. Clin Nutr 2008; 27: 340–349.

https://doi.org/10.1016/j.clnu.2008.03.012 DOI: https://doi.org/10.1016/j.clnu.2008.03.012

Boban M, Bulj N, Kolačević Zeljković M, Radeljić V, Krcmar T, Trbusic M, et al. Nutritional considerations of cardiovascular disea-ses and treatments. Nutr Metab Insights 2019; 12: 1–9.

https://doi.org/10.1177/1178638819833705 DOI: https://doi.org/10.1177/1178638819833705

Correia MI, Waitzberg DL. The impact of malnutrition on morbidity, mortality, length of hospital stay and costs evaluated through a multivariate model analysis. Clin Nutr 2003; 22: 235–239.

https://doi.org/10.1016/s0261-5614(02)00215-7 DOI: https://doi.org/10.1016/S0261-5614(02)00215-7

Sharma Y, Miller M, Kaambwa B, Shahi R, Hakendorf P, Horwood C, et al. Factors influencing early and late readmissions in Au-stralian hospitalised patients and investigating role of admission nutrition status as a predictor of hospital readmissions: a co-hort study. BMJ Open 2018; 8: e022246.

https://doi.org/10.1136/bmjopen-2018-022246 DOI: https://doi.org/10.1136/bmjopen-2018-022246

Cruz-Jentoft AJ, Baeyens JP, Bauer JM, Boirie Y, Cederholm T, Landi F, et al. Sarcopenia: European consensus on definition and diagnosis: Report of the European Working Group on Sarcopenia in Older People. Age Ageing 2010; 39: 412–423.

https://doi.org/10.1093/ageing/afq034 DOI: https://doi.org/10.1093/ageing/afq034

Chen LK, Liu LK, Woo J, Assantachai P, Auyeung TW, Bahyah KS, et al. Sarcopenia in Asia: consensus report of the Asian Working Group for Sarcopenia. J Am Med Dir Assoc 2014; 15: 95–101.

https://doi.org/10.1016/j.jamda.2013.11.025 DOI: https://doi.org/10.1016/j.jamda.2013.11.025

Stringer HJ, Wilson D. The role of ultrasound as a diagnostic tool for sarcopenia. J Frailty Aging 2018; 7: 258–261.

https://doi.org/10.14283/jfa.2018.24 DOI: https://doi.org/10.14283/jfa.2018.24

Abe T, Sakamaki M, Yasuda T, Bemben MG, Kondo M, Kawakami Y, et al. Age-related, site-specific muscle loss in 1507 Japanese men and women aged 20 to 95 years. J Sports Sci Med 2011; 10: 145–150.

Miyatani M, Kanehisa H, Azuma K, Kuno S, Fukunaga T. Site-related differences in muscle loss with aging; a cross-sectional survey on the muscle thickness in Japanese men aged 20 to 79 years. Int J Sport Health Sci 2003; 1: 34–40.

https://doi.org/10.5432/ijshs.1.34 DOI: https://doi.org/10.5432/ijshs.1.34

Abe T, Kawakami Y, Suzuki Y, Gunji A, Fukunaga T. Effects of 20 days bed rest on muscle morphology. J Gravit Physiol 1997; 4: S10‒S14.

Menon MK, Houchen L, Harrison S, Singh SJ, Morgan MD, Steiner MC. Ultrasound assessment of lower limb muscle mass in re-sponse to resistance training in COPD. Respir Res 2012; 13: 119.

https://doi.org/10.1186/1465-9921-13-119 DOI: https://doi.org/10.1186/1465-9921-13-119

Nakajima T, Shibasaki I, Sawaguchi T, Haruyama A, Kaneda H, Nakajima T, et al. Growth differentiation factor-15 (GDF-15) is a biomarker of muscle wasting and renal dysfunction in preoperative cardiovascular surgery patients. J Clin Med 2019; 8: 1576.

https://doi.org/10.3390/jcm8101576 DOI: https://doi.org/10.3390/jcm8101576

Nishikawa R, Fukuda T, Haruyama A, Shibasaki I, Yamaguchi S, Arikawa T, et al. Association between serum GDF-15, myostatin, and sarcopenia in cardiovascular surgery patients. Int J Cardiol Heart Vasc 2022; 42: 101114.

https://doi.org/10.1016/j.ijcha.2022.101114 DOI: https://doi.org/10.1016/j.ijcha.2022.101114

Guralnik JM, Simonsick EM, Ferrucci L, Glynn RJ, Berkman LF, Blazer DG, et al. A short physical performance battery assessing lower extremity function: association with self-reported disability and prediction of mortality and nursing home admission. J Ge-rontol 1994; 49: M85–M94.

https://doi.org/10.1093/geronj/49.2.m85 DOI: https://doi.org/10.1093/geronj/49.2.M85

Yasuda T, Nakajima T, Sawaguchi T, Nozawa N, Arakawa T, Takahashi R, et al. Short physical performance battery for cardiovascu-lar disease inpatients: implications for critical factors and sarcopenia. Sci Rep 2017; 7: 17425.

https://doi.org/10.1038/s41598-017-17814-z DOI: https://doi.org/10.1038/s41598-017-17814-z

Pillen S, Tak RO, Zwarts MJ, Lammens MM, Verrijp KN, Arts IM, et al. Skeletal muscle ultrasound: correlation between fibrous tissue and echo intensity. Ultrasound Med Biol 2009; 35: 443–446.

https://doi.org/10.1016/j.ultrasmedbio.2008.09.016 DOI: https://doi.org/10.1016/j.ultrasmedbio.2008.09.016

Wijntjes J, van Alfen N. Muscle ultrasound: present state and future opportunities. Muscle Nerve 2021; 63: 455–466.

https://doi.org/10.1002/mus.27081 DOI: https://doi.org/10.1002/mus.27081

Muraki S, Fukumoto K, Fukuda O. Prediction of the muscle strength by the muscle thickness and hardness using ultrasound muscle hardness meter. SpringerPlus 2013; 2: 457.

https://doi.org/10.1186/2193-1801-2-457 DOI: https://doi.org/10.1186/2193-1801-2-457

Franchi MV, Longo S, Mallinson J, Quinlan JI, Taylor T, Greenhaff PL, et al. Muscle thickness correlates to muscle cross-sectional area in the assessment of strength training-induced hypertrophy. Scand J Med Sci Sports 2018; 28: 846–853.

https://doi.org/10.1111/sms.12961 DOI: https://doi.org/10.1111/sms.12961

Sanada K, Kearns CF, Midorikawa T, Abe T. Prediction and validation of total and regional skeletal muscle mass by ultrasound in Japanese adults. Eur J Appl Physiol 2006; 96: 24–31. DOI: https://doi.org/10.1007/s00421-005-0061-0

https://doi.org /10.1007/s00421-005-0061-0

Published

2024-01-17

How to Cite

Fukuda, T., Yokomachi , J. ., Yamaguchi , S. ., Yagi , H. ., Shibasaki , I. ., Ugata , Y. ., Sakuma , M. ., Yasuda , T. ., Abe , S. ., Fukuda , H. ., Fujita , H. ., Toyoda , S. ., & Nakajima , T. . (2024). Can we diagnose sarcopenia using anterior femoral muscle thickness in patients with cardiovascular disease?. Journal of Rehabilitation Medicine - Clinical Communications, 7, jrmcc12378. https://doi.org/10.2340/jrmcc.v7.12378

Issue

Section

Original Report

Categories