| Literature DB >> 35355632 |
Jun-Il Yoo1, Jung-Taek Kim2, Chan Ho Park3, Yonghan Cha4.
Abstract
To date, family medicine and internal medicine fields have been responsible for defining, researching, and development of treatments for sarcopenia, focusing mainly on diabetes and metabolic diseases. Therefore, application of current guidelines for diagnosis of sarcopenia which differ according to continent to patients with hip fractures in the orthopedic field is difficult. The purpose of this review was to understand the recent consensus on the definition and diagnosis of sarcopenia and to highlight the importance of research and future research opportunities on the management of sarcopenia in patients with hip fractures by orthopedic surgeons. The global prevalence of sarcopenia in patients with hip fractures is statistically significant. Despite establishment of various therapeutic and diagnostic criteria for osteoporosis in the clinical field, there are no clear, useful diagnostic criteria for sarcopenia in the clinical field. In particular, few studies on the evaluation and treatment of sarcopenia in patients with hip fractures have been reported. In addition, the quality of life of postoperative patients with hip fractures could be significantly improved by development of precise assessment for muscle regeneration and rehabilitation in the operating room.Entities:
Keywords: Diagnosis; Hip fracture; Management; Sarcopenia
Year: 2022 PMID: 35355632 PMCID: PMC8931950 DOI: 10.5371/hp.2022.34.1.1
Source DB: PubMed Journal: Hip Pelvis ISSN: 2287-3260
Fig. 1(A) Thigh magnetic resonance image showing fatty degeneration change. (B) Operative room photo showing loss of muscle viability.
Summaries of Studies of Sarcopenia in Patients with Hip Fracture
| Study | Study design | Regions | Population | Mean age (yr) | Definition | Cut-off of muscle mass (appendicular muscle kg/height2) by DXA | Prevalence (%) |
|---|---|---|---|---|---|---|---|
| Hida et al. | Case-control | Japan | 357:2,511 | 82.7 (F), 80.3 (M) | Japanese criteria | 6.87 (M), 5.46 (F) | 81.1 (M), 44.7 (F) |
| Di Monaco et al. | Case series | Italy | 591 | 79.7 | New Mexico Elder Health Survey | <2 SD in a young reference group | 95 (M), 65 (F) |
| González-Montalvo et al. | Case series | Spain | 479 | 78.3 (F), 75.3 (M) | EWGOSP | <2 SD in a young reference group | 12.4 (M), 18.3 (F) |
| Yoo et al. | Case-control | Korea | 359:1,614 | 78.3 (F), 75.3 (M) | AWGS EWGOSP | 7.0 (M), 5.4 (F) | 68.2 (M), 44.3 (F) |
| <2 SD in a young reference group | 80.5 (M), 47.1 (F) |
Adapted from the article of Yoo et al. (J Korean Med Sci. 2016;31:1479-84)13) in accordance with the Creative Commons Attribution Non-Commercial (CC BY-NC 4.0) license.
F: female, M: male, EWGOSP: European Working Group on Sarcopenia in Older people, AWGS: Asian Working Group for Sarcopenia, DXA: dual X-ray absorptiometry, SD: standard deviation.
Risk Factors of Sarcopenia in Studies from East and Southeast Asia since 2014
| Category | Risk factors |
|---|---|
| Demographic characteristics | Age, sex |
| Household status | Living alone or living with children, and/or grandchildren; Person’s satisfaction with their perceived level of family function (family APGAR score) |
| Lifestyle habits | Binge drinkers with weekly or daily alcohol consumption (women); short sleep duration or having long sleep duration (women); water intake from food (g/d and cup/d) and dietary water adequacy ratio (mL) |
| Physical activity | Locomotive syndrome (one study for women) |
| Dietary pattern, dental condition and nutritional status | Lower frequency of nut consumption per week; impaired dentition status; higher dietary variety score (one study for women); lower body mass index (<18.5 kg/m2); risk of malnutrition (MNA score) |
| Comorbidities | Osteoporosis; cardiovascular risk factors (including type 2 diabetes mellitus, hypertension, dyslipidemia) |
Data from the article of Chen et al. (J Am Med Dir Assoc. 2014;15:95-101)17).
APGAR: adaptability, partnership, growth, affection, and resolve, MNA: Mini Nutritional Assessment.
Diagnostic Criteria for Sarcopenia according to the Different Consensus Group
| Muscle mass | Muscle strength | Physical performance | |
|---|---|---|---|
| EWGSOP | ALM/height2 (DXA) | Grip strength | SPPB≤8 |
| SM/height2 (BIA) | |||
| EWGSOP2 | ASM/height2
| Grip strength | SPPB≤8 |
| ASM | |||
| IWGS | ALM/height2 (DXA) | Gait speed<1.0 m/s | |
| AWGS | ALM/height2 (DXA) | Grip strength | Gait speed<0.8 m/s |
| SM/height2 (BIA) | |||
| AWGS 2019 | ALM/height2 (DXA) | Grip strength | Gait speed<1.0 m/s |
| SM/height2 (BIA) | |||
| FNIH Sarcopenia project | ALM/BMI (DXA) | Grip strength | Gait speed<0.8 m/s |
Data from the article of Chen et al. (J Am Med Dir Assoc. 2014;15:95-101)17).
EWGSOP: European Working Group on Sarcopenia in Older people, ALM: appendicular lean mass, DXA: dual X-ray absorptiometry, M: male, F: female, SPPB: short physical performance battery, SM: skeletal muscle mass, BIA: body impedance analysis, ASM: appendicular skeletal muscle mass, TUG: Timed Up and Go test, IWGS: International Working Group for Sarcopenia, AWGS: Asian Working Group for Sarcopenia, FNIH: Foundation for the National Institutes of Health, BMI: body mass index (kg/m2).
Fig. 2Modified Asian Working Group for sarcopenia in 2019 criteria.
Revised from the article of Chen et al. (J Am Med Dir Assoc. 2020;21:300-7.e2)6).
Fig. 3Deep neural network for automatic volumetric segmentation of whole-body computed tomography images.
Fig. 4Hand grip strength measurement in sitting position (A) and standing position (B).
Fig. 5Physical performance measurement using 6-meter walking time (A) and 5-time chair stand test (B).