Table 2.

Sensitivity, specificity, positive predictive value and negative predictive value, together with their (95% confidence intervals) for predefined thresholds of CANARY component percentages

Cutoff	Sensitivity	Specificity	Positive predictive value	Negative predictive value
≤ 40%	30.6% (16.3% - 48.1%)	100.0% (87.7% - 100.0%)	100.0% (71.5% - 100.0%)	52.8% (38.6% - 66.7%)
≤ 45%	33.3% (18.6% - 51.0%)	100.0% (87.7% - 100.0%)	100.0% (73.5% - 100.0%)	53.8% (39.5% - 67.8%)
≤ 50%	36.1% (20.8% - 53.8%)	96.4% (81.7% - 99.9%)	92.9% (66.1% - 99.8%)	54.0% (39.3% - 68.2%)
≤ 55%	44.4% (27.9% - 61.9%)	85.7% (67.3% - 96.0%)	80.0% (56.3% – 94.3%)	54.5% (38.8% - 69.6%)
≤ 60%	58.3% (40.8% - 74.5%)	82.1% (63.1% - 93.9%)	80.8% (60.6% - 93.4%)	60.5% (43.4% - 76.0%)
≤ 65%	58.3% (40.8% - 74.5%)	71.4% (51.3% - 86.8%)	72.4% (52.8% - 87.3%)	57.1% (39.4% - 73.7%)
≤ 70%	63.9% (46.2% - 79.2%)	67.9% (47.6% - 84.1%)	71.9% (53.3% - 86.3%)	59.4% (40.6% - 76.3%)