Integration of apolipoprotein B into the SCORE2 framework: implications for cardiovascular risk prediction

Abstract Aims To evaluate whether integrating Apolipoprotein B (ApoB) into the Systematic Coronary Risk Evaluation 2 (SCORE2) cardiovascular risk prediction framework improves its predictive accuracy and clinical applicability within the UK Biobank population. Methods and results A 10-year prospective cohort study was conducted with 448 303 UK Biobank participants eligible for SCORE2 calculation. Three approaches were employed: (i) threshold analysis to determine the optimal ApoB cutoff for cardiovascular disease (CVD) risk prediction using Youden’s Index, (ii) assessment of the synergistic effect of SCORE2 and ApoB through concordant and discordant classifications, and (iii) recalibration of the SCORE2 model by incorporating ApoB as an additional predictor. Each 0.2 g/L increase in ApoB was associated with an increased subdistribution hazard for CVD events [subdistribution hazard ratio (SHR): 1.13; 95% CI: 1.11–1.14, P < 0.001], accounting for non-cardiovascular death as a competing risk. Threshold analysis identified an optimal ApoB cutoff at 1.18 g/L; however, it demonstrated limited discriminatory performance (area under the curve 0.54), with low sensitivity (32.4%), and moderate specificity (74.4%). Individuals with both low ApoB (<1.18 g/L) and low SCORE2 risk (<5%) had a lower CVD incidence rate (232.51 per 100 000 person-years) compared with those identified as low risk by SCORE2 alone (253.69 per 100 000 person-years). Integration of ApoB into the SCORE2 model did not significantly improve the model discrimination, calibration, and net reclassification improvement. Conclusion Apolipoprotein B exhibited a dose–response relationship with cardiovascular risk but had limited standalone predictive utility within the UK Biobank population. However, combining ApoB with SCORE2 thresholds improved the identification of low-risk individuals, suggesting a complementary role for ApoB in refining cardiovascular risk stratification.