Literature DB >> 29564300

Review of Epidemiology, Diagnosis, and Treatment of Osteosarcopenia in Korea.

Jun-Il Yoo1, Yong-Chan Ha2.   

Abstract

Sarcopenia was listed in the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) as M62.84, on October 1, 2016. Sarcopenia is primarily associated with metabolic diseases, such as diabetes, obesity, and cachexia, as well as chronic renal failure, congestive heart failure, and chronic obstructive pulmonary disease. Sarcopenia is also significantly associated with osteoporosis in elderly populations and the combined disease is defined as osteosarcopenia. Several studies have confirmed that sarcopenia and osteoporosis (osteosarcopenia) share common risk factors and biological pathways. Osteosarcopenia is associated with significant physical disability, representing a significant threat to the loss of independence in later life. However, the pathophysiology and diagnosis of osteosarcopenia are not fully defined. Additionally, pharmacologic and hormonal treatments for sarcopenia are undergoing clinical trials. This review summarizes the epidemiology, pathophysiology, diagnosis, and treatment of osteosarcopenia, and includes Korean data.

Entities:  

Keywords:  Diagnosis; Epidemiology; Osteoporosis; Sarcopenia; Therapeutics

Year:  2018        PMID: 29564300      PMCID: PMC5854818          DOI: 10.11005/jbm.2018.25.1.1

Source DB:  PubMed          Journal:  J Bone Metab        ISSN: 2287-6375


INTRODUCTION

The world's population is expected to age rapidly in most regions and people are living longer. This situation is similar in Korea. Korea became an aging society (elderly population ≥7% of the total population) in 2000. In 2018, Korea will become an aged society (defined as an elderly population ≥14% of the total population), and by 2026 will be a super-aged society (elderly population ≥20% of the total population). Increased elderly populations are increasing prevalence of many chronic diseases including osteoporosis and sarcopenia.[1] Although osteoporosis related studies on the elderly population have reported clinical outcomes and established treatment guidelines in the last decades, sarcopenia and related studies are getting popular, recently. In addition, sarcopenia have been the International Classification of Disease, Tenth Revision, Clinical Modification (ICD-10-CM) as M62.84 since October 1, 2016. Sarcopenia have been mostly manifested in metabolic diseases, such as diabetes, obesity, cachexia, and some specific diseases, including chronic renal failure, congestive heart failure, and chronic obstructive pulmonary disease. However, sarcopenia is significantly associated with osteoporosis in elderly populations. Several studies have confirmed that sarcopenia and osteoporosis (osteosarcopenia) share common risk factors and biological pathways and osteosarcopenia are associated with significant physical disability, representing significant threat to loss of independence in later life.[2] The combination of these two diseases exacerbates negative health outcomes and has been described as a “hazardous duet” adding the propensity of falling from sarcopenia to vulnerability of bones in those with osteoporosis.[3] The combined effect of sarcopenia and osteoporosis represents a serious problem in the elderly. This review describes epidemiology, pathophysiology, diagnosis, and treatment of osteosarcopenia including Korean data.

EPIDEMIOLOGY

Bone mineral density (BMD) has been used as a diagnostic tool to identify risk factors for osteoporosis. However, low BMD may result from reduced peak bone mass achieved during growth and/or excessive bone loss in later life. Natural course of bone loss in post-menopausal women documented that decline in BMD is linear with age at the hip with a rate of 1.67%, but quadratic at the spine with average initial loss of 3.12% occurring during middle age.[4] Prevalence of osteoporosis in 4,946 adults age 50 or older using data from the Korea National Health and Nutrition Examination Survey (KNHANES) 2008 to 2009 was 35.5% in women and 7.5% in men.[5] Recently, longitudinal follow-up study 2004 to 2015 in the same cohort was reported that prevalence of osteoporosis increased from 48.4% to 66.1% (42.7% for men and 74.4% for women).[6] In Korea, at age 50, residual lifetime probabilities of osteoporosis-related fractures are 59.5% for women and 23.8% for men.[7] Incidence of hip fracture increased in Korean populations older than age 50 2008 to 2012, and the number of fractures was predicted to increase by 1.4 times (35,729 in 2016 to 51,259 in 2025) by 2025.[8] Lean muscle mass contributes up to approximately 50% of total body weight in young adults, but decreases with age to approximately 25% of total body weight by age 75 to 80.[8] Declining muscle mass in lower extremities with aging most significantly impacts mobility status, and cross-sectional area of the vastus lateralis (quadriceps) muscle decreases by up to 40% age of 20 to 80.[3] Muscle strength declines by 1.5% age 50 to 60 and by 3% thereafter.[9] Recently, prevalence of sarcopenia was 9.3% in Korean men and 0.2% in women older than age 65 using the appendicular skeletal muscle mass (ASM)/height (Ht)2 index with data from KNHANES. However, prevalence was 10.4% in men and 10.7% in women in the same study population using the ASM/weight index.[10] Using the consensus report about Asians from the Asian Working Group for Sarcopenia (AWGS), estimated prevalence of sarcopenia in elderly women was 22.1%.[11] Although prevalence of sarcopenia could vary in the same cohort due to different diagnostic criteria, prevalence of sarcopenia will be increasing due to increase in aging populations. Osteosarcopenia is a recently developing disease entity, so its epidemiology is seldom reported. Prevalence of sarcopenia in hip fracture patients based on Japanese criteria (appendicular skeletal muscle index [SMI] <5.46 kg/m2 in women, <6.87 kg/m2 in men) was 44.7% in women and 81.1% in men.[12] Prevalence of sarcopenia in patients with hip fracture based on the New Mexico Elder Health Survey (height adjusted appendicular SMI<2 standard deviation [SD] in a young reference group) was 64% in women and 95% in men.[13] Yoo et al.[14] reported that, using the AWGS definition, prevalence of sarcopenia in women and men with hip fracture was 44.3% and 68.2%, respectively. Yoo et al.[15] conducted further studies to determine prevalence of osteosarcopenia and the relationship of osteosarcopenia and mortality in 342 patients (83 men and 259 women) with hip fracture. Prevalence of each category in men and women (normal, osteoporosis only, sarcopenia only and osteosarcopenia) were 23%, 19%, 21% and 37%, and 21%, 49%, 6%, and 24%, respectively. They reported that prevalence of each category (normal, osteoporosis only, sarcopenia only and osteosarcopenia) were 21.6%, 41.5%, 9.6%, and 27.2%, respectively. A one-year mortality of osteosarcopenia (15.1%) was higher than that of other groups (normal, 6.8%; osteoporosis only, 4.9%; sarcopenia only, 9.1%) and osteosarcopenia after adjusting for covariates had a 1.8 times higher mortality rate than non-osteosarcopenia (hazard ratio [HR], 1.84; 95% confidence interval [CI], 0.69–4.92). Huo et al.[16] conducted a cross-sectional study using 680 community-dwelling older individuals and reported that percentage of osteosarcopenia was almost 40%. A study of community dwelling Chinese elders older than age 65 found prevalence of osteosarcopenia in 10.4% of men and 15.1% of women.[17] Although prevalence of osteosarcopenia may be different in each study group, patients with osteosarcopenia are more susceptible to occurrence of fragility fracture, poor quality of life and higher mortality.[1617] Drey et al.[18] reported higher rate of prevalence of osteosarcopenia (28%) than sarcopenia (21%) and osteopenia (25%) alone using 68 prefrail elders age 65 to 94 (Table 1).
Table 1

Epidemiological studies of the osteosarcopenia

PATHOPHYSIOLOGY

Bone and muscle are strongly integrated organs with shared critical functions in structure, strength, and motion. During the aging process, function of bone and muscle is compromised and imbalanced. Therefore, pathophysiology of sarcopenia and osteoporosis in the elderly are similar and reveals overlapping features. To explain common pathophysiology of osteosarcopenia, various causal factors including cellular and tissue interconnection, genetic, and environment have been suggested. Bone and muscles have an intensive and complex interaction with mechanical loading (mechanotransduction mechanism) and biochemical signaling pathways.[19] Skeletal muscle and bone are regulated by a variety of factors that include changes in mechanical loading. The mechanical relationship between skeletal muscle and bone has been simplified to muscle contractions serving to load and bones acting as attachment sites. This physical coupling of the two tissues is most appreciated in development, as they share a common mesenchymal precursor and synchronously develop based on perceived mechanical stimuli.[20] In these communications, several osteokine and myokines are strongly related with bone and muscle. These hormonal changes result in osteosarcopenia. Bone and muscle are similarly originated from the paraxial mesoderm during embryonic development and are influenced by similar genetic factors. Of possible genetic factors, genetic polymorphisms of angiotensin 1 converting enzyme 1, α-actinin 3 (ACTN3), myostatin, ciliary neurotrophic factor, ACTN3 polymorphism, and vitamin D receptor influence sarcopenia and osteoporosis.[21222324] Additionally, these pleiotropic regulation of genes from multiple pathways, including inflammatory, growth hormone, and steroid metabolism, leptin, transcription factor sex-determining region Y-box 17, pleiotrophin, vascular endothelial growth factor, and glucocorticoid receptor are associated with muscle and bone loss.[25] Genetic factors including various gene polymorphisms have influence on susceptibility to sarcopenia and osteoporotic status.[2627] Possible causal factors of osteosarcopenia are related with endocrine metabolism abnormality including diabetes, vitamin D deficiency, cachexia, obesity, and malnutrition.[2829] Consequently, sarcopenia may contribute to the evolution of low BMD and vice versa. The risk factors of osteosarcopenia and the relationship of muscle and bone in the development of osteosarcopenia.[28]

DIAGNOSIS

BMD is measured by dual energy X-ray absorptiometry (DXA). Osteoporosis was defined as a BMD 2.5 SD below the peak bone mass of a young, healthy, gender- and race-matched reference population according to the World Health Organization (WHO) diagnostic classification; Normal, T-score of total femur, femoral neck and lumbar spine at either site ≥−1; Osteopenia, −2.5< the lowest T-score <−1; Osteoporosis, the lowest T-score ≤−2.5.[23] However, BMD alone is insufficient to identify all individuals with high risk because osteoporotic fractures may occur in patients with any given T-score.[2] Thus, a number of clinical risk factors that provide information on fracture risk independent of BMD have been identified.[3891011121314] Recently, several algorithms including the WHO fracture-risk assessment tool (FRAX) algorithm,[16] Q fracture algorithm,[17] and Garvan Fracture Risk Calculator (Garvan) [1819] have been developed to estimate fracture probability using additional risk factors for fracture. Recently, Korean Fracture Risk Score (KFRS) with observed risks at 7 years within each 10th of predicted risk have been available since 2016. During the follow-up period, 19,840 osteoporotic fractures were reported (4,889 in men and 14,951 in women) in the development dataset. The assessment tool called the KFRS is comprised of a set of nine variables, including age, body mass index, recent fragility fracture, current smoking, high alcohol intake, lack of regular exercise, recent use of oral glucocorticoid, rheumatoid arthritis, and other causes of secondary osteoporosis.[30] Sarcopenia is diagnosed with lower lean body mass, muscle strength, and gait speed. Body composition is measured by whole-body DXA or bioelectrical impedance analysis (BIA). Bone mineral content, fat mass, and lean soft tissue mass are measured separately for each part of the body, including arms and legs. Recently four of main concerns, the European Working Group on Sarcopenia in Older People (EWGSOP) definition of sarcopenia, the International Working Group on Sarcopenia (IWGS), definition of the American Foundation for the National Institutes of Health (FNIH) sarcopenia project, and, AWGS consensus are available. However, The EWGSOP, and IWGS criteria may not be applicable due to differences in ethnicity, genetic background, and body size.[31] The AWGS consensus takes similar approaches for sarcopenia diagnosis, but unlike EWGSOP, recommends measuring muscle strength (handgrip strength) and physical performance (usual gait speed) as the screening test.[32] Another difference is cut-off values of these measurements in Asian populations that differ from those in Caucasians because of ethnicities, body size, lifestyles, and cultural backgrounds. AWGS recommends cut-off values of the appendicular SMI of 7.0 kg/m2 in men and 5.4 kg/m2 in women by using DXA and 7.0 kg/m2 in men and 5.7 kg/m2 in women, using BIA. Low handgrip strength is defined as <26 kg for men and <18 kg for women and the cut-off of 0.8 m/s for gait speed (Table 2).[32]
Table 2

Main consensus criteria for sarcopenia

DXA, dual energy X-ray absorptiometry; BIA, bioelectrical impedance analysis; EWGSOP, European Working Group on Sarcopenia in Older People; IWGS, International Working Group on Sarcopenia; AWGS, Asian Working Group for Sarcopenia; FNIH, Foundation for the National Institutes of Health; aLM, appendicular lean mass; Ht2, height; SM, skeletal muscle; BMI, body mass index; SPPB, short physical performance battery.

Osteosarcopenia is the term used to define elderly persons diagnosed with low BMD and sarcopenia. However, diagnostic adaptations of osteosarcopenia are not the same. Yoshimura et al.[33] in the Research on Osteoarthritis/Osteoporosis Against Disability (ROAD) study defined osteosarcopenia as osteoporosis (T-score≤−2.5) and the criteria defined by the AWGS. Two other studies defined osteosarcopenia as osteopenia and sarcopenia.[1618] Yet other studies defined sarco-osteoporosis as osteoporosis and sarcopenia.[1734] Although there was no consensus, the operational definition of the combination of osteoporosis and sarcopenia are generally accepting as osteosarcopenia or sarco-osteoporosis.[35]

TREATMENT

Although anti-osteoporosis medications are well established in elderly populations with osteoporosis, appropriative medication for sarcopenia are under development and not available to patients with sarcopenia. Recent advances of pharmacological, hormonal, and nutritional approaches for attenuating sarcopenia have been improving. Different kinds of myostatin inhibitors and angiotensin-converting enzyme inhibitors are in clinical trials as pharmacologic treatment. Additionally, testosterone, ghrelin, and vitamin D are performing in clinical trials as humoral factors.[36] Presently, nutrition and exercise are the best treatment methods for sarcopenia. European guidelines recommend optimal dietary protein intake of 1.0 to 1.2 g/kg body weight/day with at least 20 to 25 g of high-quality protein at each main meal and the same protein intake for healthy older people and 1.2 to 1.5 g/kg body weight/day for those malnourished or at risk of malnutrition.[373839] Inadequate nutrition intake is the most significant cause of sarcopenia and osteoporosis. According to the KNHANES guidelines in 2015, 55 g/day and 45 g/day of protein or 0.91 g/kg/day are recommended for healthy elderly men and women age 65 and older. In Korea, nutritional intervention study was conducted using a protein supplement (400 kcal, 25 g protein) in a low-income elderly person age 65 or older for 12 weeks. They reported that the muscle function and frailty score improved compared to the control without intervention, respectively.[40] In previous studies, resistance-induced strength training has been proposed as an effective intervention for sarcopenia. However, various clinical studies are currently being conducted to standardize for the types, intensity, frequency, and duration of exercise programs in patients with sarcopenia.[41] In the American College of Sports Medicine, resistance exercise recommended for elderly people is conducted 3 times a week, with an average of 30 min. In the case of an exercise program, it can be divided into 6 parts (chest, shoulder, arm, waist, abdomen, lower body) to allow complex exercises. When exercising, the larger muscle group (lower body, lower back, chest) should be conducted before the smaller muscle group (arm, shoulder, abdomen). A set of exercises should not exceed a maximum of three sets. The strength of the exercise is conducted at maximum intensity of 65% to 75% during 1 repetition maximum, and it is recommended that repetition frequency per set is 10 to 15 times based on 65% to 75%.[42] Recently, Korean guidelines for falling prevention recommended regular exercise including balance training, strengthening, aerobic, resistance exercise to prevent falling and falling risk in community dwelling elderly populations.[43]

CONCLUSIONS

This is the first study evaluating the relationship between mortality and osteosarcopenia in patients with hip fracture. We demonstrate that prevalence of osteosarcopenia is not rare and is associated with higher mortality than non-osteosarcopenia at a minimum 1-year follow up period.
  43 in total

1.  High prevalence of sarcopenia and reduced leg muscle mass in Japanese patients immediately after a hip fracture.

Authors:  Tetsuro Hida; Naoki Ishiguro; Hiroshi Shimokata; Yoshihito Sakai; Yasumoto Matsui; Marie Takemura; Yasuto Terabe; Atsushi Harada
Journal:  Geriatr Gerontol Int       Date:  2012-07-23       Impact factor: 2.730

Review 2.  Genes and the ageing muscle: a review on genetic association studies.

Authors:  Nuria Garatachea; Alejandro Lucía
Journal:  Age (Dordr)       Date:  2011-10-27

Review 3.  Human aging, muscle mass, and fiber type composition.

Authors:  J Lexell
Journal:  J Gerontol A Biol Sci Med Sci       Date:  1995-11       Impact factor: 6.053

4.  From muscle wasting to sarcopenia and myopenia: update 2012.

Authors:  Stephan von Haehling; John E Morley; Stefan D Anker
Journal:  J Cachexia Sarcopenia Muscle       Date:  2012-12       Impact factor: 12.910

5.  Effect of including historical height and radius BMD measurement on sarco-osteoporosis prevalence.

Authors:  Bjoern Buehring; Diane Krueger; Neil Binkley
Journal:  J Cachexia Sarcopenia Muscle       Date:  2012-08-08       Impact factor: 12.910

6.  The changing trends in live birth statistics in Korea, 1970 to 2010.

Authors:  Jae Woo Lim
Journal:  Korean J Pediatr       Date:  2011-11-30

7.  Prevalence of Sarcopenia in the Korean Woman Based on the Korean National Health and Nutritional Examination Surveys.

Authors:  Hyoung-Joon Kwon; Yong-Chan Ha; Hyoung-Moo Park
Journal:  J Bone Metab       Date:  2016-02-29

8.  Development of a Korean Fracture Risk Score (KFRS) for Predicting Osteoporotic Fracture Risk: Analysis of Data from the Korean National Health Insurance Service.

Authors:  Ha Young Kim; Eun Jin Jang; ByeongJu Park; Tae-Young Kim; Soon-Ae Shin; Yong-Chan Ha; Sunmee Jang
Journal:  PLoS One       Date:  2016-07-11       Impact factor: 3.240

9.  ACTN3 Gene and Susceptibility to Sarcopenia and Osteoporotic Status in Older Korean Adults.

Authors:  Jinkyung Cho; Inhwan Lee; Hyunsik Kang
Journal:  Biomed Res Int       Date:  2017-05-24       Impact factor: 3.411

10.  European guidance for the diagnosis and management of osteoporosis in postmenopausal women.

Authors:  J A Kanis; E V McCloskey; H Johansson; C Cooper; R Rizzoli; J-Y Reginster
Journal:  Osteoporos Int       Date:  2012-10-19       Impact factor: 4.507

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  9 in total

1.  Osteosarcopenia in Reproductive-Aged Women with Polycystic Ovary Syndrome: A Multicenter Case-Control Study.

Authors:  Maryam Kazemi; Brittany Y Jarrett; Stephen A Parry; Anna E Thalacker-Mercer; Kathleen M Hoeger; Steven D Spandorfer; Marla E Lujan
Journal:  J Clin Endocrinol Metab       Date:  2020-09-01       Impact factor: 5.958

2.  Sarcopenia: an unsolved problem after hip fracture.

Authors:  Jung-Wee Park; Hong-Seok Kim; Young-Kyun Lee; Jun-Il Yoo; Yangseon Choi; Yong-Chan Ha; Kyung-Hoi Koo
Journal:  J Bone Miner Metab       Date:  2022-05-31       Impact factor: 2.626

3.  Osteosarcopenia and type 2 diabetes mellitus in post-menopausal women: a case-control study.

Authors:  Antimo Moretti; Angela Palomba; Francesca Gimigliano; Marco Paoletta; Sara Liguori; Francesco Zanfardino; Giuseppe Toro; Giovanni Iolascon
Journal:  Orthop Rev (Pavia)       Date:  2022-10-13

4.  Differential gene expression profile by RNA sequencing study of elderly osteoporotic hip fracture patients with sarcopenia.

Authors:  Yang-Jae Kang; Jun-Il Yoo; Kyung-Wan Baek
Journal:  J Orthop Translat       Date:  2021-05-14       Impact factor: 5.191

5.  Disability, Frailty and Depression in the community-dwelling older adults with Osteosarcopenia.

Authors:  Ki-Soo Park; Gyeong-Ye Lee; Young-Mi Seo; Sung-Hyo Seo; Jun-Il Yoo
Journal:  BMC Geriatr       Date:  2021-01-19       Impact factor: 3.921

Review 6.  Distrectual osteosarcopenia in limb disuse: case report and mini literature review.

Authors:  Gabriele Filoni; Michele Di Lonardo; Giovanni Mandile; Lorenzo Andreani; Francesca Falossi; Alessandro Franchi; Vanna Bottai; Rodolfo Capanna
Journal:  Acta Biomed       Date:  2020-12-30

7.  The association of cardio-metabolic risk factors and history of falling in men with osteosarcopenia: a cross-sectional analysis of Bushehr Elderly Health (BEH) program.

Authors:  Noushin Fahimfar; Shakiba Yousefi; Sima Noorali; Safoora Gharibzadeh; Mahnaz Sanjari; Kazem Khalagi; Ahmad Mehri; Gita Shafiee; Ramin Heshmat; Iraj Nabipour; Azam Amini; Amirhossein Darabi; Gholamreza Heidari; Bagher Larijani; Afshin Ostovar
Journal:  BMC Geriatr       Date:  2022-01-11       Impact factor: 3.921

8.  Computed Tomography-Derived Skeletal Muscle Radiodensity Is an Early, Sensitive Marker of Age-Related Musculoskeletal Changes in Healthy Adults.

Authors:  Yeon Woo Jung; Namki Hong; Joon Chae Na; Woong Kyu Han; Yumie Rhee
Journal:  Endocrinol Metab (Seoul)       Date:  2021-12-13

9.  Association between Disability and Edema Index Values in Rural Older Adult Osteosarcopenia Patients.

Authors:  Soo-Hyun Park; Mi-Ji Kim; Bokyoung Kim; Gyeong-Ye Lee; Young-Mi Seo; Jin-Young Park; Ae-Rim Seo; Sung-Hyo Seo; Ki-Soo Park
Journal:  Yonsei Med J       Date:  2022-09       Impact factor: 3.052

  9 in total

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