Why the study?
Epidemiological studies of COC-induced VTE risk require years to complete, highlighting the need for a biomarker-based model predicting VTE risk from mean nAPCsr values.
Does the normalized activated protein C sensitivity ratio (nAPCsr) assay accurately predict the population-based venous thromboembolism risk associated with different combined oral contraceptives?
Does the normalized activated protein C sensitivity ratio (nAPCsr) assay accurately predict the population-based venous thromboembolism risk associated with different combined oral contraceptives?
The nAPCsr assay serves as a robust in vitro surrogate biomarker to predict population-level VTE risk for newly developed combined oral contraceptives, potentially accelerating post-market safety assessments.
Answers are grounded in this paper and cite their sources.
nAPCsr model estimates differential VTE risks across COCs; leaves open prospective validation before guiding prescribing or new-product assessment.
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: model predicting VTE risk associated with various COC formulations based on their mean nAPCsr values. We then estimated population-based VTE risks for the 4 COCs not used in model construction. Results: = .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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Morimont et al. (2025) studied this question.
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