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Impact of polygenic risk score (PRS) for coronary artery disease on physician decision-making and patient care
Georgios Ntritsos1,2, Erez Ornan2, Nir Gamliel2
1Department of Economics, School of Economics and Management Sciences, University of Ioannina, Ioannina, Greece.
Insights
Polygenic risk scores (PRS) influenced physician decisions in 67% of cases, primarily by enhancing patient awareness and risk communication, not direct medication changes.
Area of Science:
- Cardiovascular Medicine
- Genetics
- Preventive Cardiology
Background:
- Polygenic risk scores (PRS) show promise for cardiovascular risk prediction.
- The impact of PRS on physician decision-making in real-world settings is not well-understood.
Purpose of the Study:
- To evaluate how integrating coronary artery disease (CAD) PRS with clinical factors affects physician management strategies.
- To assess the influence of PRS on clinical decision-making in a pilot study.
Main Methods:
- A multicenter, prospective, open-label pilot study involving 150 patients (aged 18-55, LDL-C ≤130 mg/dL, no diabetes/CAD history).
- PRS analysis from buccal swabs, integrated with clinical data for personalized risk profiles.
- Physician feedback surveys on PRS influence during consultations.
Main Results:
- PRS impacted clinical decisions in 67% of participants (100/150).
- Physicians most often used PRS for patient education and risk communication (73 cases).
- Four cases led to new statin recommendations; 23 involved other management modifications.
Conclusions:
- PRS can enhance risk communication and physician decision-making, particularly by increasing patient awareness.
- The primary impact of PRS was on patient education rather than immediate pharmacologic management changes.
- Further research is needed to optimize PRS implementation and evaluate long-term clinical outcomes.
Introduction:
Polygenic risk scores (PRS) have emerged as a promising tool for refining cardiovascular risk prediction, yet their real-world impact on physician decision-making remains unclear. This study aimed to evaluate how the integration of a coronary artery disease (CAD) PRS with traditional clinical risk factors influences physician management strategies.
Methods:
We conducted a multicenter, prospective, open-label pilot study across three clinical sites. A total of 150 patients (aged 18-55 years, LDL-C ≤130 mg/dL, no history of diabetes or coronary artery disease) were recruited. Buccal swabs were collected for PRS analysis, and results were integrated with clinical data to generate personalized risk profiles. Physicians utilized these profiles during consultations and completed structured feedback surveys assessing PRS influence on their clinical decisions.
Results:
PRS findings impacted clinical decision-making in 67% of cases (100 participants). The most frequent physician response was raising patient awareness and offering patient education (73 cases), while emphasizing PRS as a tool for risk communication. In 4 specific cases, PRS findings led to new statin recommendations, while 23 cases resulted in other management modifications, including lifestyle adjustments and increased risk monitoring.
Discussion:
These findings highlight the potential of PRS in enhancing risk communication and clinical decision-making, primarily by reinforcing patient awareness rather than directly by altering pharmacologic management. Further research is needed to optimize PRS implementation and assess its long-term clinical impact.
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