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. 2022 May 10;9:779528. doi: 10.3389/fcvm.2022.779528

TABLE 3.

ROC analysis of patients with AF in the training and validation cohorts.

Training cohort (n = 46)
Validation cohort (n = 443)
P-value
P-value#
AUC (95% CI) Compared to 0.5 Compared to AUC of CHA2DS2-VaSc AUC (95% CI) Compared to 0.5 Compared to AUC of CHA2DS2-VaSc
All patients
FD 0.746 (0.599, 0.893) 0.004* 0.811 0.602 (0.541, 0.663) 0.002* <0.001*
CHA2DS2-VaSc 0.769 (0.643, 0.895) 0.002* - 0.856 (0.817, 0.895) <0.001* -
Combined 0.842 (0.732, 0.952) <0.001* 0.063 0.863 (0.827, 0.899) <0.001 0.427
Low to moderate risk
Number of patients n (%) 35 (76.1) 198 (44.7)
FD 0.762 (0.592, 0.932) 0.005* 0.545 0.696 (0.568, 0.823) 0.079 0.171
CHA2DS2-VaSc 0.696 (0.548, 0.843) 0.056 - 0.572 (0.388, 0.756) 0.519 -
Combined 0.848 (0.733, 0.963 0.001* 0.009* 0.747 (0.608, 0.886) 0.026* <0.001*

p-Values were obtained by z-test.

*Marked significant differences.

If the box-counting dimension value is greater than threshold (2.426 in the training cohort; 2.438 in the validation cohort), one point will be added to CHA2DS2-VaSc system, and the new risk score was assessed by ROC analysis.

#The DeLong test was used to compare the AUCs.

AUC, area under the curve; CI, confidential interval; FD, fractal dimension (represented by box-counting dimension).