Table 3

Comparing prediction performance of 10-year CVD risk w/o metabolites

Prediction performanceWomen (95% CI*)Men (95% CI)
Recalibrated QRISK3
Harrell’s C-index†0.750 (0.739 to 0.763)0.706 (0.696 to 0.716)
Adding metabolites associated with CVD independently from QRISK3 score
C-statistics0.759 (0.747 to 0.772)0.710 (0.701 to 0.720)
IDI‡ (%)0.30 (0.17 to 0.41)0.20 (0.12 to 0.28)
Continuous NRI§ (%)12.4 (6.7 to 16.6)6.8 (2.7 to11.6)
 Events6.5 (1.0 to 10.8)4.0 (0.0 to 8.3)
 Non-events5.9 (5.0 to 6.8)2.8 (1.8 to 3.9)
Categorical NRI (%)0.3 (−1.8 to 0.9)0.9 (−0.2 to 2.0)
 Events0.4 (−1.2 to 1.5)0.4 (−0.7 to 1.4)
 Non-events0.7 (−0.8 to 0.5)0.5 (0.3 to 0.8)
Adding metabolites with regularisation (using Elastic-net)
Harrell’s C-index0.759 (0.746 to 0.770)0.710 (0.700 to 0.719)
IDI (%)0.16 (0.03 to 0.26)0.16 (0.04 to 0.25)
Continuous NRI (%)4.4 (−0.7 to 9.6)7.4 (3.3 to 11.0)
 Events4.7 (−0.3 to 9.9)5.2 (1.4 to 8.8)
 Non-events0.3 (−1.3 to 0.7)2.2 (1.2 to 3.3)
Categorical NRI (%)0.3 (−1.6 to 1.1)0.7 (−0.8 to 1.8)
 Events0.2 (−1.2 to 1.5)0.3 (−1.1 to 1.5)
 Non-events0.4 (−0.5 to 0.3)0.4 (0.1 to 0.7)
Adding metabolites selected by BorutaSHAP from XGBoost
Harrell’s C-index0.759 (0.748 to 0.771)0.710 (0.701 to 0.719)
IDI (%)0.26 (0.11 to 0.38)0.13 (0.03 to 0.20)
Continuous NRI (%)14.7 (9.2 to 19.7)5.5 (1.7 to 9.5)
 Events2.7 (−2.9 to 7.7)0.1 (−4.0 to 3.4)
 Non-events12.0 (11.0 to 12.9)5.9 (4.9 to 6.9)
Categorical NRI (%)0.0 (−1.6 to 1.3)0.7 (−0.5 to 1.8)
 Events0.6 (−0.9 to 1.9)0.3 (−0.9 to 1.2)
 Non-events0.6 (−0.7 to 0.5)0.5 (0.2 to 0.7)
  • Comparing prediction performance of 10-year CVD risk w/o metabolites. In all models, metabolites are added to recalibrated QRISK3 using Cox proportional-hazards regression. Hyper-parameters of each model are in appendix.

  • *Bootstrap percentile CI, bootstrap for 500 times.

  • †Harrell’s C-index, measuring the probability that a randomly selected subject with shorter time-to-event will have a higher predicted probability of event than a randomly selected subject with longer time-to-event.

  • ‡Integrated discrimination improvement, summarising the extent a new model increases risk in events and decreases risk in non-event compared with the old model.

  • §Net reclassification improvement, quantifying the appropriateness of the change in predicted probabilities or categorised risk group when changing from old to new model; categorical NRI is based on a 10% risk threshold.

  • CVD, cardiovascular disease; NRI, net reclassification improvement.