Table 3.
Sensitivity/specificity analyses and receiver-operating curve models for SARC-F, SARC-CalF, and SEAC validation against different reference criteria in the development set (N = 475)
| Sensitivity (%) | Specificity (%) | PLR | NLR | Cutoff point | AUC | |
|---|---|---|---|---|---|---|
| AWGS | – | – | – | – | – | – |
| SARC-F | 16.9 (13.0–21.2) | 85.3 (78.2–90.7) | 1.1 (0.7–1.8) | 1.0 (0.9–1.1) | ≥4 | 0.54 (0.49–0.60)b |
| SARC-CalF | 46.6 (41.2–52.1) | 88.2 (81.6–93.1) | 4.0 (2.5–6.4) | 0.6 (0.5–0.7) | ≥11 | 0.78 (0.74–0.83) |
| SEAC | 76.4 (71.5–80.8) | 77.2 (69.2–84.0) | 3.4 (2.4–4.6) | 0.3 (0.2–0.4) | ≥6a | 0.79 (0.74–0.83) |
| CECS | – | – | – | – | – | – |
| SARC-F | 17.0 (13.1–21.6) | 85.5 (79.0–90.7) | 1.2 (0.7–1.9) | 1.0 (0.9–1.1) | ≥4 | 0.55 (0.50–0.60)b |
| SARC-CalF | 47.1 (41.5–52.7) | 85.5 (79.0–90.1) | 3.2 (2.2–4.9) | 0.6 (0.5–0.7) | ≥11 | 0.76 (0.71–0.80) |
| SEAC | 76.2 (71.1–80.7) | 71.1 (63.1–78.1) | 2.6 (2.0–3.4) | 0.3 (0.3–0.4) | ≥6a | 0.76 (0.72–0.81) |
| IWGS | – | – | – | – | – | – |
| SARC-F | 17.1 (13.2–21.7) | 85.8 (79.1–91.0) | 1.2 (0.8–1.0) | 1.0 (0.9–1.0) | ≥4 | 0.57 (0.52–0.63)b |
| SARC-CalF | 46.2 (40.1–51.7) | 84.4 (77.6–89.9) | 3.0 (2.0–4.4) | 0.6 (0.6–0.7) | ≥11 | 0.74 (0.69–0.78) |
| SEAC | 73.7 (68.6–78.4) | 66.9 (58.7–74.4) | 2.2 (1.8–2.8) | 0.4 (0.3–0.5) | ≥6a | 0.74 (0.69–0.79) |
| EWGSOP | – | – | – | – | – | – |
| SARC-F | 19.9 (15.2–25.1) | 88.5 (83.3–92.5) | 1.7 (1.1–2.7) | 0.9 (0.8–0.9) | ≥4 | 0.59 (0.54–0.64)b |
| SARC-CalF | 50.6 (44.4–56.7) | 81.3 (75.3–86.3) | 2.7 (2.0–3.7) | 0.6 (0.5–0.7) | ≥11 | 0.75 (0.70–0.79) |
| SEAC | 79.4 (74.0–84.1) | 60.1 (53.1–66.8) | 2.0 (1.7–2.4) | 0.3 (0.3–0.4) | ≥6a | 0.76 (0.72–0.80) |
Notes: AWGS, Asian Working Group for Sarcopenia; CECS, Chinese expert consensus on prevention and intervention for older people with sarcopenia; IWGS, International Working Group on Sarcopenia; EWGSOP, European Working Group on Sarcopenia in Older People; PLR, positive likelihood ratio; NLR, negative likelihood ratio; AUC, area under the receiver-operating characteristic curve.
Data are presented with the 95% CI in parentheses.
The Youden’s index (YI, YI = sensitivity + specificity − 1) was used to determine the optimum cutoff point(s).
Significantly different with SEAC (p < 0.05).