| Literature DB >> 26966433 |
Solomon C Y Yu1, Kareeann S F Khow1, Agathe D Jadczak1, Renuka Visvanathan1.
Abstract
Sarcopenia, an age-related decline in muscle mass and function, is affecting the older population worldwide. Sarcopenia is associated with poor health outcomes, such as falls, disability, loss of independence, and mortality; however it is potentially treatable if recognized and intervened early. Over the last two decades, there has been significant expansion of research in this area. Currently there is international recognition of a need to identify the condition early for intervention and prevention of the disastrous consequences of sarcopenia if left untreated. There are currently various screening tools proposed. As yet, there is no consensus on the best tool. Effective interventions of sarcopenia include physical exercise and nutrition supplementation. This review paper examined the screening tools and interventions for sarcopenia.Entities:
Year: 2016 PMID: 26966433 PMCID: PMC4757731 DOI: 10.1155/2016/5978523
Source DB: PubMed Journal: Curr Gerontol Geriatr Res ISSN: 1687-7063
Summary of currently available screening tools for sarcopenia.
| EWGSOP algorithm [ | SARC-F questionnaire [ | Goodman et al. [ | Ishii et al. [ | Anthropometric PE [ | |
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| Description | Two-step algorithm: | Assessed 5 domains: Strength, independence walking, rising from a chair, climbing stairs, and history of falls | Grid based on age and BMI is used to generate probability of sarcopenia which can be <0.20, 0.20–0.49 and ≥0.50 | To estimate probability of sarcopenia with a score chart using age, handgrip strength, and calf circumference | PE = 10.05 + 0.35 (weight) − 0.62 (BMI) − 0.02 (age) + 5.10 (if male) |
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| Definition of sarcopenia | EWGSOP | EWGSOP | Sarcopenia defined as low skeletal muscle index (SMI) [ASM/height2] <1 SD below the mean SMI of young adults (20–40 years) | EWGSOP | Sarcopenia as defined by ASM and low grip strength |
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| Development model | NA | Not published in a peer-reviewed journal | Development model from NHANES, USA | Development model from Japanese community-dwellers | Derived from healthy subject (age 18 to 83 years), Australia |
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| Validation study | NA | Two studies: | Independent sample from patients in the University of Utah Health Care System, USA | Internal validation using bootstrapping procedure and final models were derived by correcting regression coefficient for over optimism | Independent sample from NWAHS and FAMAS community dwelling population adults ≥65 years |
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| Sensitivity (%) | NA |
| M 81.2 | M 84.9 | M 88.2 |
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| Specificity (%) | NA |
| M 66.2 | M 88.2 | M 95.5 |
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| PPV (%) | NA |
| M 58.5 | M 54.4 | M 65.2 |
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| NPV (%) | NA |
| M 86 | M 97.2 | M 98.8 |
BMI: body mass index; EWGSOP: European Working Group on Sarcopenia in Older People; IWGS: International Working Group on Sarcopenia; AWGS: Asian Working Group for Sarcopenia; FAMAS: Florey Adelaide Male Aging Study; SARC-F: slowness, independence walking, rising from chair, climbing stairs, and history of falls questionnaire; NHANES: National Health and Nutrition Examination Surveys; NWAHS: Northwestern Adelaide Healthy Study; PE: prediction equation; ASMPE: appendicular skeletal muscle mass as measured by anthropometric prediction equation; PPV: positive predictive value; NPV: negative predictive value; M: men; W: women.
Strengths and weaknesses of sarcopenia screening tools.
| Strengths/advantages | Limitations/disadvantages | |
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| EWGSOP algorithm [ | Simple two-step algorithm | No validation studies evaluated this tool |
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| Goodman et al. [ | Uses two simple variable | Age range limited to 65–85 years |
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| Ishii et al. [ | Simple tool requiring three variables | External validity is unknown |
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| SARC-F questionnaire [ | Uses 5 questions without requiring measurements involving cutoff values | Low sensitivity may miss out people who are sarcopenic but classified as “not sarcopenic” according to SARC-F |
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| Anthropometric PE [ | Good discriminatory tool as a “rule-out” screening test | Not yet validated in care facility residents or hospital inpatients |
EWGSOP: European Working Group on Sarcopenia in Older People; NPV: negative predictive value; SARC-F: slowness, assistance with walking, rising from chair, climbing stairs, and falls questionnaire; PE: prediction equation; PPV: positive predictive value.
Exercise and nutritional interventions for sarcopenia.
| Exercise [ | |||
| Type of training | Frequency | Intensity | Duration/set |
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| Aerobic exercise | Minimum 5 days/week for moderate intensity | Moderate intensity at | Accumulate at least 30 min/day of moderate intensity activity in bouts of at least 10 min each continuous vigorous activity for at least 20 min/day |
| Resistance exercise | At least 2 days/week | Slow-to-moderate velocity | 8–10 exercises |
| Power training | Two days a week | High repetition velocity | 1–3 sets |
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| Nutritional supplementation [ | |||
| Intervention | Evidence or recommendation | ||
| Amount of protein | Type of protein | Timing | |
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| Protein supplement | At least 1.0–1.2 g/kg/day in people aged 65 years and above | “Fast” proteins are thought to be more beneficial compared to “slow” proteins but lacks robust evidence. | Even distribution of protein intake in main meals through the day |
| Vitamin D | Replace depleted serum vitamin D level and maintain adequate intake at 700 to 1000 IU/day of cholecalciferol | ||
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| Daily leucine 2.5 g or 2.8 g with combination of resistance exercise (benefits only shown in a small number of studies) | ||
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| HMB alone, or with combination of resistance exercise or arginine and lysine (evidence not consistently positive and only shown in a small number of studies) | ||
GFR: glomerular filtration rate, mL/min/1.73 m2. ∗Not currently incorporated into mainstream of treatment.