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. 2022 Aug;66(2):118–129.

Table 2.

Data extraction from seven studies including description of studies and the diagnostic properties of BIA based diagnostic tools for diagnosis of sarcopenia

Study author, year Setting, Population BIA Device Equation Sarcopenia Muscle Mass Cut-Offs Subgroup Sample Size Sensitivity (95% CI) Specificity (95% CI) Positive Predictive Value (95% CI) Negative Predictive Value (95% CI) + Likelihood Ratio − Likelihood Ratio
Yamada 2017 17 Community dwelling older adults 65yr +, Tokyo Japan MSd-100 (Tanita Corp., Tokyo, Japan) Tanita device proprietary equation – unspecified Post Hoc Cutoffs
< 7.18 kg/m2 		men N=100 0.66 (0.55, 0.79) 0.57 (0.42, 0.73) 0.70 (0.58, 0.82) 0.53 (0.39, 0.68) 1.53 0.60
< 5.89 kg/m2 women N=247 0.62 (0.53, 0.70) 0.60 (0.51, 0.68) 0.60 (0.52, 0.69) 0.61 (0.52, 0.70) 1.55 0.63
Laksmi 2018 18 Consecutive patients 60yr + Geriatric Clinic Jakarta Indonesia BIA Tanita MC-780MA (Tokyo, Jepang) Tanita device proprietary equation – unspecified AWGS:*
Men: < 7.0 kg/m2
Women: < 5.7kg/m2 		all N=120 0.79 0.67 0.37 0.93 2.38 0.31
Fang 2020 19 Elderly patients undergoing health examination, Taipei, Taiwan InBody 720; Biospace InBody proprietary equation – unspecified AWGS:*
Men: < 7.0 kg/m2
Women: < 5.4kg/m2 		Validation sample n=84 for sensitivity & specificity N=438 (N=84 for sensitivity & specificity) 0.66 1.00 ∞ 0.34
Deer 2020 20 Inpatients University of Texas hospital age 65yr +, able to stand upright Tanita; BF-350 ASMMBIA= 7.1 + (−2.8 × gender) + (0.5 × BMI) + (0.1 × Max Grip Strength) + (−0.1 × FMBIA)
gender: male = 0 female = 1
FMBIA fat mass from BIA (%)		 FNIH:*
Male < 19.75 kg
Female: < 16 kg
EWGSOP2:*
Male: < 7 kg/m2
Female: < 6 kg/m2
Two criteria led to same classification		 all N=125 0.80 (0.66, 0.94) 0.91 (0.85, 0.96) 0.73 (0.58, 0.88) 0.93 (0.88, 0.99) 8.89 0.22
Reiter 2019 21 Geriatric inpatients 70yrs+, university hospital Salzburg Austria, able to walk a few metres and lie still for five minutes AKERN BIA 101, Florence, Italy 1. Kyle
2. Sergi
3. Scafoglieri
4. Rangel		 Baumgartner:
Men: < 7.26 kg/m2
Women: < 5.5 kg/m2
FNIH (muscle weakness):
Men: <0.789
Women: < 0.512		 Baumgartner + Kyle N=144 0.37 0.98 0.90 0.75 18.50 0.64
Baumgartner + Sergi N=144 0.55 0.97 0.90 0.81 18.33 0.46
Baumgartner + Scafoglieri N=144 0.63 0.94 0.84 0.83 10.50 0.39
Baumgarnter + Rangel N=144 0.61 0.90 0.75 0.82 6.10 0.43
FNIH + Kyle N=144 0.28 0.98 0.85 0.78 14.00 0.73
FNIH + Sergi N=144 0.38 0.98 0.88 0.80 19.00 0.63
FNIH + Scafoglieri N=144 0.55 0.95 0.82 0.85 11.00 0.47
FNIH + Rangel N=144 0.52 0.95 0.81 0.84 10.40 0.51
Steihaug 2016 22 Inpatients 65yrs+, university hospital, admitted for surgical repair of hip fracture, Bergen, Norway Single frequency tetrapolar BIA (RJL, III systems quantum R USA) and Body impedance analyzer (BIA 1010 ASE, Akern Srl, Italy) 1.Kyle
2.Tengvall
3.Janssen
4.Sergi		 Baumgartner:
Men: < 7.26 kg/m2
Women: < 5.67 kg/m2 		Kyle Men N=42 0.60 (0.41, 0.79) 1.00 (1.00, 1.00) ∞ 0.40
Kyle Women N=116 0.65 (0.52, 0.78) 0.95 (0.90, 1.00) 13.9 0.36
Tengval Men N=42 0.56 (0.37, 0.75) 1.00 (1.00, 1.00) ∞ 0.44
Tengvall Women N=116 0.62 (0.48, 0.75) 0.94 (0.88, 1.00) 9.8 0.40
Janssen Men N=42 0.32 (0.14, 0.50) 1.00 (1.00, 1.00) ∞ 0.68
Janssen Women N=116 0.42 (0.29, 0.56) 0.97 (0.93, 1.00) 13.1 0.60
Sergi Men N=42 0.84 (0.70, 0.98) 0.94 (0.83, 1.00) 14.3 0.17
Sergi Women N=116 0.66 (0.52, 0.78) 0.90 (0.83, 0.98) 6.9 0.38
Reiss 2016 23 Geriatric inpatients 70yrs+, university hospital Salzburg Austria, able to walk a few metres and lie still for five minutes (subset of n=144 21 BIA single-frequency device (AKERN Florence, Italy) Janssen equation sex=1 for men and 0 for women Ht in cm R total body resistance Janssen cutoffs:
Men: < 8.5 kg/m2
Women: < 5.75 kg/m2
Chien cutoffs:
Men: < 8.87 kg/m2
Women: < 6.42 kg/m2 		Janssen cutoffs N=60 0.77 (0.59, 0.79) 0.71 (0.58, 0.85) 0.54 (0.35, 0.73) 0.88 (0.77, 0.99) 2.66 0.32
Chien cutoffs N=60 0.55 (0.33, 0.79) 0.90 (0.82, 0.99) 0.71 (0.48, 0.95) 0.83 (0.72, 0.94) 5.50 0.50