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©The Author(s) 2025.
World J Hepatol. May 27, 2025; 17(5): 106182
Published online May 27, 2025. doi: 10.4254/wjh.v17.i5.106182
Published online May 27, 2025. doi: 10.4254/wjh.v17.i5.106182
Table 1 Assessment methods for sarcopenia
Method | Measurement | Description | Advantages | Disadvantages |
HGS | Muscle strength (kg) | Uses a dynamometer to measure hand grip force, indicating overall muscle strength | Simple, non-invasive, and cost-effective; strong correlation with overall muscle function | Affected by motivation, hand injuries, and neurological conditions |
Gait speed | Walking speed (meter/second) | Measures the time taken to walk a set distance (e.g., 4-6 meters), assessing mobility | Quick and easy to perform; predictive of disability and mortality | Influenced by joint pain, neurological conditions, and cardiovascular fitness |
SPPB | Composite score (0-12) | Includes balance, gait speed, and chair stand tests to assess lower limb function | Comprehensive evaluation; predicts adverse outcomes | Requires trained personnel and space for testing |
Chair stand test | Time to complete 5 sit-to-stand repetitions (second) | Evaluates lower limb strength by timing how long a person takes to rise from a chair without arm support | Functional test; easy to administer | Affected by arthritis, balance disorders, and pain |
DXA | ALM in kg/m² | Measures muscle mass through low-dose X-ray imaging, considered a gold standard | Accurate, reliable, and widely used in research | Expensive; limited availability in clinical settings |
BIA | SMI | Uses electrical currents to estimate body composition, including muscle mass | Portable, affordable, and non-invasive | Less accurate in patients with fluid imbalances |
CT/MRI | Cross-sectional muscle area and density | Directly visualizes muscle tissue and fat infiltration in specific body regions | Highly precise and can assess muscle quality | Expensive; CT involves radiation exposure |
Table 2 Assessment methods for frailty
Method | Measurement | Description | Advantages | Disadvantages |
Fried frailty phenotype | Five criteria (weight loss, exhaustion, weakness, slow walking speed, low activity) | Categorizes frailty as robust, pre-frail, or frail based on physical function | Simple, widely used, and validated | Requires physical performance testing; does not assess cognitive or social frailty |
FI (rockwood model) | Score based on accumulation of health deficits (0-1) | Considers comorbidities, functional impairments, and cognitive decline | Comprehensive assessment of overall health status | Time-consuming; requires detailed clinical data |
CFS | 9-point scale (1: Very fit, 9: Terminally ill) | Visual tool assessing frailty severity based on clinical judgment | Quick and easy to use in hospital settings | Subjective; relies on clinician expertise |
GFI | 15-item questionnaire covering physical, cognitive, and social frailty | Self-reported tool for community-dwelling older adults | Easy to administer; non-invasive | May not detect early frailty signs; self-reported bias |
EFS | 10 domains, including cognition, mood, function, and nutrition | Multidimensional tool covering multiple frailty aspects | Covers both physical and cognitive factors | Requires trained personnel to administer |
Table 3 Commonly used computed tomography-based cut-off values for sarcopenia diagnosis at the L3 vertebral level
Ref. | Study population | Cut-off for males (cm²/m²) | Cut-off for females (cm²/m²) | Key considerations |
Carey et al[25], 2017 | Patients with cirrhosis | < 50 | < 39 | Developed for pre-liver transplant evaluation; validated against DXA-derived ALMI |
Prado et al[26], 2008 | Oncology patients | < 52.4 | < 38.5 | Derived from cancer cohorts; used broadly in nutritional and body composition studies |
Montano-Loza et al[27], 2014 | Liver transplant candidates | < 50 | < 39 | Consistent with Carey et al[25]; widely cited in hepatology for transplant risk stratification |
Martin et al[73], 2013 | Cancer patients (BMI-adjusted) | < 43 (BMI < 25)/< 53 (BMI ≥ 25) | < 41 | Incorporates BMI to adjust thresholds; primarily used in oncology |
- Citation: Christodoulidis G, Tsagkidou K, Bartzi D, Prisacariu IA, Agko ES, Koumarelas KE, Zacharoulis D. Sarcopenia and frailty: An in-depth analysis of the pathophysiology and effect on liver transplant candidates. World J Hepatol 2025; 17(5): 106182
- URL: https://www.wjgnet.com/1948-5182/full/v17/i5/106182.htm
- DOI: https://dx.doi.org/10.4254/wjh.v17.i5.106182