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Published on: September 15, 2018
Prediction of cardiovascular risk in patients with familial hypercholesterolaemia
Guillermo Villa1, Bruce Wong2, Lucie Kutikova3
1Economic Modeling, Center of Excellence, Amgen (Europe) GmbH, Dammstrasse 23, PO Box 1557, Zug, CH-6301, Switzerland.
Insights
Patients with familial hypercholesterolaemia (FH) face significantly higher cardiovascular risks. This study adjusted existing risk equations to predict lifetime CV risk in FH patients, revealing a substantial unmet medical need.
Area of Science:
- Cardiology
- Genetics
- Public Health
Background:
- Familial hypercholesterolaemia (FH) is a genetic condition leading to elevated LDL cholesterol and increased cardiovascular (CV) risk.
- Existing CV risk equations are primarily derived from general populations and may underestimate risk in FH patients.
Purpose of the Study:
- To adapt established CV risk equations for hyperlipidaemic non-FH populations to accurately predict CV risk in FH patients.
- To utilize these adjusted equations within a decision analytic model to estimate lifetime CV risk in individuals with FH.
Main Methods:
- A literature review identified credible CV risk increase estimates for FH patients.
- A CV event rate ratio (RR) comparing FH to non-FH individuals was calculated.
- Non-FH risk predictions were adjusted using the RR, and a decision analytic model estimated 10-year and lifetime CV risks.
Main Results:
- The derived RR for CV events in FH patients was 7.1 (95% CI: 5.7-8.7).
- Using a decision analytic model, estimated 10-year and lifetime CV risks for FH patients were 45% and 88%, respectively.
- FH patients were predicted to experience 3.9 times more CV events over their lifetime compared to non-FH individuals with similar risk profiles.
Conclusions:
- Cardiovascular risk in familial hypercholesterolaemia is significantly elevated, highlighting an unmet medical need.
- Enhanced diagnostic and management strategies for FH are crucial for improving patient outcomes.
Aims:
Patients with familial hypercholesterolaemia (FH) have an elevated cardiovascular (CV) risk. The objective of this analysis was to adjust CV risk equations derived in non-FH populations with hyperlipidaemia to predict CV risk in FH patients, and then to use these adjusted CV risk equations in a decision analytic model in order to predict lifetime CV risk in FH patients.
Methods And Results:
A literature search of publications reporting CV risk in FH patients identified the publication with the most credible estimate of CV risk increase. A CV event rate ratio (RR) (FH vs. non-FH) was derived from reported odds ratios by pooling treated and untreated patients. Predicted CV event risks based on non-FH risk equations were adjusted with the RR to reflect CV risk in FH patients. A decision analytic model incorporating these adjusted risk equations was used to predict 10-year and lifetime CV risk in FH patients. Combining the derived RR of 7.1 (95% CI: 5.7-8.7) with the predicted CV risks in a decision analytic model yielded 10-year and lifetime risk estimates of 45% and 88% in FH patients based on the RUTHERFORD-2 trial population. Based on the initial (cross-sectional) RR of 7.1, FH patients were predicted to have 3.9 times more events over their lifetime than non-FH patients with a similar risk profile.
Conclusion:
The CV risk in FH is high and represents an unmet medical need for patients. Increased efforts for better diagnosis and management of FH should be employed to improve patient outcomes.
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