Key result
Disclosing proteomic cardiovascular risk scores increases cardioprotective medication prescribing ~3-fold compared to withholding results.
Why the study?
Cardioprotective therapies remain underutilized in cardiovascular risk management, and individualized risk assessment using proteomic testing may help guide treatment decisions.
Does sharing proteomic cardiovascular risk scores improve the prescribing rate of cardioprotective medications in adults with type 2 diabetes?
RCT (n=377)
Open-label
Yes
Does sharing proteomic cardiovascular risk scores improve the prescribing rate of cardioprotective medications in adults with type 2 diabetes?
Effect estimate: OR 5.45 (95% CI 2.31-12.89)
Absolute Event Rate: 32.1% vs 9.6%
p-value: p=<0.001
Disclosure of proteomic cardiovascular risk scores to patients and clinicians significantly increased the prescribing of cardioprotective medications in adults with type 2 diabetes.
May enhance appropriate prescribing of underutilized cardioprotective therapies in type 2 diabetes; extends evidence for proteomic risk scores in guiding decisions.
Cardioprotective (CP) therapies such as GLP-1 RA, SGLT2i, and PCSK9i medications remain underutilized in cardiovascular (CV) risk management. Individualized risk assessment using blood-based proteomic testing, such as Residual Cardiovascular Risk (RCVR) scores, may help guide treatment decisions. To evaluate whether access to RCVR scores improves risk-concordant prescribing of CP medications in clinical practice. In this multicenter, open label, behavioral randomized trial, adults with type 2 diabetes eligible for CP medications underwent SomaScan™ proteomic testing. Participants were randomized to an informed (RCVR results shared with patient and clinicians) or uninformed arm (results withheld until study end). CP prescribing rate and sensitivity-to-change of RCVR to CP initiation were assessed by trial arm. Chi-square trend in proportions, one-sided 2-sample tests for equality of proportions, and one-sided paired Wilcoxon signed-rank tests were used for statistical analysis. Among 377 baseline participants analyzed (59 % informed; mean age 66 ± 10.3 years; 45 % female), CP prescribing was significantly higher in the informed versus uninformed arm (32.1 % vs 9.6 %; OR 5.45; 95 % CI: 2.31–12.89; p < 0.001); per-risk-bin rates were also significantly higher in all elevated risk bins ( p <0.05). Among 173 participants with paired RCVR scores from baseline-6-months, CP initiation ( n = 24) in the informed arm ( n = 92) corresponded to a 3.9 % reduction in proteomic-predicted CV risk ( p = 0.036). Disclosure of proteomic RCVR scores was associated with higher rates of CP prescribing and short-term reductions in proteomic risk scores among CP medication users; proteomics-based risk assessment may support personalized CV prevention.
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Gill et al. (2026) conducted an RCT in Type 2 diabetes (n=377). Disclosure of proteomic RCVR scores (informed arm) vs. Withholding RCVR scores (uninformed arm) was evaluated on Cardioprotective medication prescribing rate (OR 5.45, 95% CI 2.31-12.89, p=<0.001). Disclosure of proteomic cardiovascular risk scores to patients and clinicians increased cardioprotective medication prescribing compared to withholding results (32.1% vs 9.6%; OR 5.45; P<0.001).
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