Sarcopenia has been proposed as a term for the age-related loss of skeletal muscle
mass1). Subsequent reports suggested that
muscle strength was significantly reduced compared to skeletal muscle mass, and that the
reduction in muscle strength was associated with functional disability and death2,3,4). The European Working Group on Sarcopenia in
Older People (EWGSOP) currently reported an increase in the number of people with altered
grip strengths and walking speeds. The concept is defined to include poor physical
performance5). Following the EWGS report,
the International Working Group on Sarcopenia6), the Asian Working Group for Sarcopenia (AWGS)7), and the United States Foundation of National Institutes of
Health8) developed region-specific
standards, including race, for the evaluation of sarcopenia in the elderly. In 2018, the
EWGS updated its definition9), and the AWGS
followed suit in 201910). The AWGS 2019
established a definition of severe sarcopenia, and reviewed the evaluation indicators. The
use of AWGS criteria is currently recommended for sarcopenia diagnosis in Japan.The community-based diagnosis of sarcopenia involves patients who are unknowingly living
with sarcopenia or pre-sarcopenia. In order to detect, maintain, and improve sarcopenia at
an early stage, it is important to select an easily-measurable and clinically-validated
screening index. AWGS 2019 includes lower calf circumference, SARC-F score, and SARC-CalF
score as screening tools for sarcopenia diagnosis. Lower calf circumference can be measured
using a measuring tape; moreover, it varies with skeletal muscle strength, body size, and
nutritional status11). The SARC-F is a
questionnaire designed to diagnose sarcopenia using simple questions on muscle function that
eliminate need for muscle mass measurement12). The SARC-CalF was created to improve the abovementioned screening
effect by adding the lower calf circumference to the SARC-F score and relating it to
anthropometric measurements13).A previous study on sarcopenia screening in community-dwelling older adults in China,
compared the sensitivity of SARC-F score and SARC-CalF score using AWGS 2014 criteria14).The results of this study showed a greater sensitivity of the SARC-CalF score compared to
that of the SARC-F score. However, the change in efficacy of each tool with the update from
AWGS 2014 to 2019 criteria remains unclear. Moreover, the method of comparison of the three
sarcopenia screening tools, including the SARC-CalF score, SARC-F score, and lower calf
circumference, remain unelucidated.Given the need for adjusting future screening tests and developing new screening tools, we
aimed to evaluate and compare the changes in the efficacy of the three sarcopenia screening
tools following the update from AWGS 2014 to 2019 criteria, in a community-based elderly
population in Japan.
PARTICIPANTS AND METHODS
We conducted a cross-sectional study on community-based elderly people aged at least
65 years. They were recruited through publicity organized by the Ohtawara city authorities,
Tochigi Prefecture, and voluntarily participated in a long-term care prevention project
sponsored by the city in the 2019 fiscal year. We excluded participants who were unable to
complete the questionnaire unaided, were unable to walk, and had factors that precluded
assessment by the impedance method, such as the presence of a cardiac pacemaker or joint
prosthesis. The study was explained to the participants, after which, they gave their
written informed consent. This study was conducted with the approval of the Ethics Review
Committee of the International University of Health and Welfare (Approval No.
18-Io-158).Grip strength was measured in the standing position using a Smedley-type grip strength
meter (Digital Grip Force Transducer Grip D-TKK5401, Takei Instrument Co). The grip strength
was measured for the left and right upper limbs, and the higher measured value was
considered as the definitive grip strength value. A 4-meter walk and 2-meter runway were
prepared, and participants walked at a normal speed. The skeletal muscle mass index (SMI)
was calculated using the formula SMI=limb muscle mass (kg) / (height [m])2. The
limb skeletal muscle mass was measured using the bioelectrical impedance analysis (BIA)
method with a multi-frequency body composition analyzer (MC-780A, Tanita).Lower calf circumference was measured in the sitting position using a measuring tape. The
greatest lower calf bulge was measured twice, and the higher of the two values was used.
SARC-F is a 5-point questionnaire consisting of strength, assistance in walking, rising from
a chair, climbing stairs, and falls. Each item has a score range of 0 to 2, giving a total
score range of 0 to 10. The Japanese version of the SARC-F was used in this study, and the
participants filled out the form. SARC-CalF added the lower calf circumference to the SARC-F
components. The SARC-CalF score was calculated by adding 10 points to the SARC-F score when
the lower calf circumference was below the cutoff value.Sarcopenia was diagnosed if the lower calf circumference was <34 cm in males and 33 cm
in females, if the SARC-F score was at least 4/10, or if the SARC-CalF score was at least
11/20. The 2014 and 2019 AWGS criteria were used for the definitive diagnosis of
sarcopenia.According to the 2014 AWGS criteria, sarcopenia was diagnosed if the grip strength was
<26 kg in males and <18 kg in females, or if the gait speed was <0.8 m/s. Moreover,
SMI was measured by BIA, and sarcopenia was diagnosed if SMI was <7.0 kg/m2 in
males and <5.7 kg/m2 in females. The 2019 AWGS criteria for sarcopenia
diagnosis were as follows: muscle strength <28 kg for males and <18 kg for females
with grip strength or physical function <1.0 m/s of walking speed and SMI
<7.0 kg/m2 for males and <5.7 kg/m2 for females. Low SMI, low
muscle mass index, and low physical function were diagnosed as severe sarcopenia.The sensitivity, specificity, positive likelihood ratio, and negative likelihood ratio were
calculated from each screening result for sarcopenia diagnosis. Multinomial logistic
regression analysis was used to calculate the area under the receiver operating
characteristic (ROC) curve (AUC) of each screening test based on the presence or absence of
sarcopenia.Statistical analysis was performed using SPSS Statistics version 25.0 for Windows (IBM
Corp., Armonk, NY, USA), and the significance level was set at 0.05.
RESULTS
We included 139 participants (25 males and 114 females), with age, height, and weight 76.7
± 6.6 years, 151.9 ± 8.5 cm, and 54.1 ± 9.8 kg, respectively. The prevalences of sarcopenia
calculated using the AWGS 2014 and 2019, and 2019 severe sarcopenia criteria were 10.8% and
12.9%, and 5.0%, respectively. The characteristics of the screening tests (sensitivity,
specificity, positive likelihood ratio, negative likelihood ratio, and AUC) for each
criterion are shown in Table 1. Lower calf circumference had the highest sensitivity (range, 80–100%) and the
lowest specificity (range, 50–60%). For SARC-F, sensitivity was low in the 10th percentile
whereas specificity was high in the 90th percentile. The sensitivity of the SARC-CalF score
was higher than that of the SARC-F score (range, 60–70%), whereas the specificity of the
SARC-CalF score was higher than that of the lower calf circumference (range, 70–80%). A
comparison of AWGS 2014 and 2019, and 2019 severe sarcopenia criteria showed that the AWGS
2019 had a higher sensitivity and a lower specificity than those of the lower calf
circumference and SARC-CalF score. Positive likelihood ratios ranged from 1 to 4, whereas
negative likelihood ratios ranged from 0.2 to 0.9. The AUC ranged from 0.5 to 0.6 and 0.7 to
0.9, respectively, for the AWGS 2014 and 2019 criteria for severe sarcopenia (Fig. 1).
Table 1.
The nature of screening for each sarcopenia diagnostic criterion
Sensitivity (%)
Specificity (%)
Positive likelihood ratio
Negative likelihood ratio
AUC (95%IC)
AWGS2014
Calf circumference
86.7
62.1
2.3
0.2
0.56 (0.43–0.70)
SARC-F
13.3
91.9
1.7
0.9
0.50 (0.34–0.67)
SARC-CalF
66.7
80.6
3.4
0.4
0.51 (0.36–0.67)
AWGS2019
Calf circumference
83.3
62.8
2.2
0.3
0.60 (0.47–0.73)
SARC-F
11.1
91.7
1.3
0.9
0.50 (0.36–0.65)
SARC-CalF
66.7
81.8
3.7
0.4
0.53 (0.40–0.67)
AWGS2019 severe
Calf circumference
100.0
59.8
2.5
0.81 (0.73–0.88)
SARC-F
14.3
91.7
1.7
0.9
0.70 (0.48–0.93)
SARC-CalF
71.4
78.0
3.3
0.4
0.86 (0.76–0.95)
Fig. 1.
ROC curves of calf circumference, SARC-F score, SARC-CalF score for AWGS 2014 and
2019 and 2019 severe sarcopenia criteria.
ROC curves of calf circumference, SARC-F score, SARC-CalF score for AWGS 2014 and
2019 and 2019 severe sarcopenia criteria.
DISCUSSION
We compared the change in efficacy of the screening tools—lower calf circumference, SARC-F
score, and SARC-CalF score—with the update of sarcopenia criteria from AWGS 2014 to 2019 in
community-dwelling older adults.First, the prevalences of sarcopenia in community-dwelling older adults included in this
study were 10.8% and 12.9%, and 5.0% using the AWGS 2014 and 2019, and 2019 severe
sarcopenia criteria, respectively. This was slightly higher than the prevalence of 8.6%
among elderly females living in a Japanese community as reported by Kusama et al.15) using the AWGS 2014 criteria. This was
probably because the mean age of the participants in our study was higher than that of those
in the previous study (73.1 years for the non-sarcopenia group and 75.0 years for the
sarcopenia group). Moreover, our survey was conducted in a rural area (population density
207 people/km2), whereas their study was conducted in an urban area (population
density 12,224 people/km2).There was no significant change in the sensitivities of the three screening tools using the
AWGS 2014 and 2019 criteria; however, the AWGS 2019 criteria showed a slight decrease in the
sensitivity of the lower calf circumference and SARC-F score. Conversely, there was an
increase in sensitivity and a decrease in specificity of the lower calf circumference and
SARC-CalF score using the AWGS 2019 criteria of severe sarcopenia, which was different when
the AWGS 2014 and 2019 criteria were used. Severe sarcopenia is a newly defined criterion in
the AWGS 2019, and is one in which muscle strength, physical function, and muscle mass are
all reduced. In AWGS 2019 criteria for severe sarcopenia, there was a significant increase
in the sensitivity of the lower calf circumference, and a mild increase in the sensitivity
of SARC-CalF score, suggesting that the inclusion of the lower calf circumference may be
important in screening for severe sarcopenia. This new finding shows the importance of lower
calf circumference measurement in severe sarcopenia screening.Regarding the sensitivity and specificity of each screening method, Kawakami et al.16) and Kusama et al.15) reported a high specificity for calf circumference using
similar criteria (<34 cm for males and <33 cm for females). However, the results of
the previous research differed from those of previous studies. Lower calf circumference has
been reported to reflect skeletal muscle mass and nutritional status; however, it can
neither be used to assess muscle quality nor exclude the effects of adipose tissue and
edema17, 18). Moreover, the difference in the sensitivity of the lower calf
circumference might have been because the lower calf circumference measurement was performed
in the sitting position in the previous study, whereas in previous studies, it was performed
in the standing or supine position.The SARC-F score was developed by Malmstrom et al.12) in 2013 for easy and rapid sarcopenia diagnosis. Moreover, Ida et
al.19) and Tanaka et al.20) developed a Japanese version.Screening with the SARC-F score both in Japan and abroad has been reported to have a low
sensitivity and high specificity21, 22), which is in line with the findings of the
present study.The SARC-CalF score was developed as a means of compensating for the low sensitivity of the
SARC-F score by incorporating the lower calf circumference14). Akin to previous study findings, the present study showed an
increase in sensitivity compared to that of the SARC-F score.Concerning the likelihood ratios, the positive and negative likelihood ratios were neither
>10 nor <0.1, respectively.With respect to the AUC, the predictive power was low in AWGS 2014 and 2019 criteria,
ranging from 0.5 to 0.6, which was similar to that in previous studies21, 23). The predictive
power of the AUC was moderate, ranging from 0.7 to 0.9, in AWGS 2019 criteria for severe
sarcopenia diagnosis.The limitations of this study are as follows. First, the number of participants was
relatively small. Second, participants actively participated in long-term care insurance
projects and, therefore, were able to maintain physical function. Third, the study was
conducted in a part of Japan. Fourth, the lower calf circumference measurement was neither
able to assess muscle quality nor exclude the effects of adipose tissue and edema. Lastly,
we were unable to examine the effects of different measurement limb positions on sarcopenia
screening. Further studies are warranted to improve these methods, survey patients with
sarcopenia, and examine more screening methods.This study identified changes in the efficacy of the three screening tools with an upgrade
in the sarcopenia diagnosis criteria from AWGS 2014 to 2019.Given that screening tools are used, prior to diagnostic testing, on people suspected to
have sarcopenia, the change in sarcopenia diagnostic criteria should enhance the diagnosis
of sarcopenia and the identification of persons without sarcopenia. Therefore, it is
important to understand the characteristics of each screening test before performing
surgery, and this study comparing three screening tests against multiple sarcopenia criteria
is informative.
Conflict of interest
The authors declare no conflicts of interest associated with this manuscript.
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