Table 4.
Cutoff Score | Sensitivity | Specificity | LR+ (95% CI) | LR− (95%CI) | Post-test probability with test ≤ cutoff value | Post-test probability with test > cutoff value | |
---|---|---|---|---|---|---|---|
Mini-BESTest | ≤20/32* (63%) | 0.88 | 0.78 | 4.03 (2.40–6.79) | 0.15 (0.05–0.45) | 64.7% | 6.5% |
≤23/32 (72%) | 0.96 | 0.47 | 1.82 (1.40–2.37) | 0.08 (0.01–0.59) | 45.3% | 3.7% | |
BESTest | ≤69%* | 0.84 | 0.76 | 3.49 (2.11–5.77) | 0.21 (0.09–.52) | 61.3% | 8.7% |
≤ 84% | 1.00 | 0.39 | 1.64 (1.32–2.02) | 0.00 (Unable to calculate) | 42.7% | 0.0% |
Pre-test probability for being a faller was 31.3%. The first cutoff value was chosen to *maximize both sensitivity and specificity.
The second cutoff value was chosen by maximizing sensitivity and LR−.
LR+=positive likelihood ratio; LR−=negative likelihood ratio