Table 4. Net Reclassification Improvement and Integrated Discrimination Improvement by Adding Optimized Thresholds of the CXCR3 Ligands to the Basic Models.
Variables in basic models biomarkers | Integrated discrimination improvement | Net reclassification improvement | ||
---|---|---|---|---|
Δ% (95% confidence interval) | p | Δ% (95% confidence interval) | p | |
NT-pro BNP | ||||
MIG | 12.9 (4.01 to 21.8) | 0.004 | 89.7 (45.9 to 133.4) | <0.0001 |
IP10 | 7.51 (1.55 to 13.5) | 0.014 | 69.0 (20.7 to 117.3) | 0.005 |
I–TAC | 17.8 (7.67 to 28.0) | 0.006 | 84.3 (36.5 to 132.0) | 0.0005 |
MIG + IP10 + I–TAC | 22.8 (10.4 to 35.2) | 0.0003 | 124.2 (82.0 to 166.6) | <0.0001 |
NT-pro BNP, age and body mass index | ||||
MIG | 5.45 (0.29 to 10.6) | 0.038 | 110.3 (68.3 to 152.4) | <0.0001 |
IP10 | 0.63 (–0.90 to 2.16) | 0.42 | 69.0 (20.7 to 117.3) | 0.005 |
I–TAC | 9.64 (1.33 to 18.0) | 0.023 | 154.6 (120.3 to 188.8) | <0.0001 |
MIG + IP10 + I–TAC | 18.8 (9.62 to 28.0) | <0.0001 | 192.9 (179.1 to 206.6) | <0.0001 |
Abbreviations of the biomarkers are spelled out in Table 2. The net reclassification improvement is the sum of the percentages of subjects reclassified correctly in cases and controls. The integrated discrimination improvement is the difference between the discrimination slopes of the extended and basic models. The discrimination slope is the difference in predicted probabilities between cases and controls. Cases were patients with subclinical or symptomatic diastolic left ventricular dysfunction. Controls were healthy people.