TABLE 4.
Comparison of discriminant and reclassification capacities of each model for predicting atrial fibrillation (AF) recurrence.
Relative IDI |
Categorical NRI |
|||||
AUC | P-value | IDI (95% CI) | P-value | NRI (95% CI) | P-value | |
Traditional risk model | 0.689 | Reference | Reference | Reference | ||
Clinical model 5 (traditional risk model + FIB-4 risk categories) | 0.729 | 0.017 | 0.056 (0.021∼0.102) | <0.001 | 0.153 (0.050∼0.255) | 0.003 |
Clinical model 6 (traditional risk model + NFS risk categories) | 0.715 | 0.063 | 0.032 (0.008∼0.073) | 0.006 | 0.103 (0.003∼0.203) | 0.043 |
Three predictive models were constructed as follows: traditional risk model included age, hypertension, duration of AF, persistent AF, LAD, CHA2DS2-VASc score, and BMI; Clinical model 4 included a combination of traditional risk model and FIB-4 risk categories; Clinical model 5 included a combination of traditional risk model and NFS risk categories. AF, atrial fibrillation; LAD, left atrial diameter; BMI, body mass index; FIB-4, fibrosis-4; NFS, non-alcoholic fatty liver disease fibrosis score; AUC, area under the receiver operating characteristic curve; CI, confidence interval; IDI, integrated discrimination improvement; NRI, net reclassification improvement.