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. 2022 Jul 23;51(7):afac164. doi: 10.1093/ageing/afac164

Table 3.

Diagnostic properties of GS cut-off to identify mortality (ELSA study)

Cut-off (m/s) Sensitivity Specificity Correct Classification LR+ LR AUC Youden
≤0.3 3.80 99.38 62.09 6.16 0.97 0.52 0.03
≤0.4 8.51 98.39 63.32 5.29 0.93 0.53 0.07
≤0.5 16.32 96.34 65.11 4.45 0.87 0.56 0.13
≤0.6 27.18 91.82 66.60 3.32 0.79 0.59 0.19
≤0.7 40.29 84.77 67.41 2.64 0.70 0.62 0.25
≤0.8 53.72 74.02 66.10 2.07 0.62 0.64 0.28
≤0.9 68.43 59.74 63.13 1.70 0.53 0.64 0.28
≤1.0 80.10 44.03 58.10 1.43 0.45 0.62 0.24
≤1.1 88.76 30.64 53.32 1.28 0.37 0.60 0.19
≤1.2 93.69 18.76 48.00 1.15 0.34 0.56 0.12
≤1.3 96.74 10.75 44.30 1.08 0.30 0.54 0.07
≤1.4 98.13 6.03 41.96 1.04 0.31 0.52 0.04
≤1.5 98.88 3.25 40.56 1.02 0.34 0.51 0.02
≤1.6 99.41 1.88 39.94 1.01 0.31 0.51 0.01

lr+: positive log-likelihood; lr−: negative log-likelihood; auc: area under curve