Abstract
Background
Combined oral contraceptives (COCs) increase venous thromboembolism (
VTE) risk, depending on estrogen type, dose, and progestin. While epidemiological studies provide insight into these risks, they require years to complete. The normalized activated protein C sensitivity ratio (nAPCsr), a standardized assay of acquired activated protein C resistance, has emerged as a potential biomarker of COC-induced
VTE risk.
Objectives
To develop a population-based
in silico model predicting
VTE risk associated with various COC formulations based on their mean nAPCsr values.
Methods
We analyzed 200 plasma samples from non-COC users and 257 from users of 9 different COCs. We constructed an exponential model to correlate the mean nAPCsr of 5 COCs with their available population-based
VTE relative risk, as extracted from
a published meta-analysis. We assessed model performance using
R2, Spearman’s rank correlation coefficient, and the root mean square error, and performed a sensitivity analysis by excluding COC nonusers. We then estimated population-based
VTE risks for the 4 COCs not used in model construction.
Results
The model demonstrated high predictive accuracy (R
2 = .96; root mean square error = 0.21; Spearman correlation coefficient = 1) and remained robust despite group size imbalance. Predicted
VTE risks for ethinylestradiol 30 μg with dienogest 2 mg, ethinylestradiol 20 μg with drospirenone 3 mg, estradiol 1.5 mg with nomegestrol acetate 2.5 mg, and estetrol 15 mg with drospirenone 3 mg were 4.36, 3.43, 1.50, and 1.45, respectively, consistent with or complementary to existing epidemiological evidence.
Conclusion
Our model, based on mean nAPCsr, provides a reliable, biomarker-based approach for predicting population-based COC-related
VTE risk. This strategy could help shorten the time between product launch and population-based risk assessment.
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