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Table 3 Comparisons of PCE and CHINA-PAR with a difference in AUC and NRI for prediction of macro- and microcirculation abnormalities

From: Chinese ASCVD risk equations rather than pooled cohort equations are better to identify macro- and microcirculation abnormalities

 

C-statistics of PCE model (95% CI)

C-statistics of CHINA-PAR model (95% CI)

∆AUC (95% CI)

P

categorical NRI (95% CI)

P

elevated baPWV

0.86 (0.84–0.87)

0.88(0.87–0.90)

0.028(0.020–0.036)

< 0.001

0.329(0.290, 0.368)

< 0.001

low fractal dimension

0.71 (0.69–0.73)

0.72 (0.70–0.74)

0.012 (0.002–0.022)

0.019

0.183(0.137, 0.228)

< 0.001

albuminuria

0.59 (0.57–0.61)

0.61 (0.59–0.63)

0.016 (0.005–0.027)

0.032

0.104(0.053, 0.156)

< 0.001

  1. Cut-off for categorical NRI is 3.00%. PCE, pooled cohort equation recommended by the 2013 American College of Cardiology and American Heart Association guidelines; CHINA-PAR–equations for 10-year ASCVD risk prediction in Chinese populations; AUC Area under the receiver operative curve (C-statistics); CI Confidence interval, NRI Net reclassification improvement; baPWV brachial-ankle pulse wave velocity
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BMC Cardiovascular Disorders

ISSN: 1471-2261

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