Table 2.
Discrimination and Calibration for Sequential Five-year Atrial Fibrillation Risk Prediction Models
| Model | Discrimination | Calibration | |||
|---|---|---|---|---|---|
| C-statistic (95% CI) | P Value | GND X2value | P Value | ||
| 1 | CHARGE-AF Simple* | 0.795 (0.764–0.827) | - | 6.2 | 0.28 |
| 2 | CHARGE-AF Enriched† | 0.804 (0.771–0.837) | <0.001 | 2.4 | 0.80 |
| 3 | + Biomarkers‡ | 0.804 (0.771–0.837) | 0.71 | 2.4 | 0.79 |
| 4 | + MRI§ | 0.803 (0.770–0.837) | 0.13 | 4.2 | 0.53 |
| 5 | + ECG∥ | 0.805 (0.773–0.837) | 0.86 | 4.0 | 0.55 |
| 6 | + Subclinical CVD# | 0.805 (0.772–0.837) | 0.82 | 3.2 | 0.67 |
| 7 | All Predictors** | 0.806 (0.774–0.839) | 0.81 | 4.3 | 0.51 |
| 8 | Novel MESA†† | 0.802 (0.769–0.835) | 0.93 | 3.9 | 0.57 |
Higher values for C-statistic indicate better models. Discrimination P values are for a likelihood ratio test comparing each model with Model 2, except for 1) Model 2, which is compared with Model 1; and 2) Model 8, which is compared with Model 7. Calibration P values >0.05 indicate adequate fit.
Model 1: age, white race, height, weight, systolic BP, diastolic BP, current smoking, antihypertensive medication use, diabetes
Model 2: Model 1 + ln(NT-proBNP)
Model 3: Model 2 + serum creatinine, cardiac troponin-T
Model 4: Model 2 + end-systolic basal superior lateral wall thickness, end-systolic mid-ventricular anterior wall thickness
Model 5: Model 2 + heart rate, heart rate variability, R amplitude in lead V4, STJ amplitude in lead V5, QRS axis
Model 6: Model 2 + ln(CAC + 1), ankle-brachial index, common cIMT, internal cIMT
Model 7: all candidate variables
Model 8: age, weight, current smoking, ln(NT-proBNP), ln(CAC+1), and cardiac troponin-T
Abbreviations: BP = blood pressure; CAC = coronary artery calcium; CI = confidence interval; cIMT = carotid intima-media thickness; CVD = cardiovascular disease; ECG = electrocardiography; GND = Greenwood-Nam-D’Agostino; LRT = likelihood ratio test; MRI = magnetic resonance imaging; NT-proBNP = N-terminal pro-B-type natriuretic peptide