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. 2022 Oct 6;9:960259. doi: 10.3389/fcvm.2022.960259

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.