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Coronary risk estimates and decisions on lipid-lowering treatment in primary prevention: comparison between general
Federico Vancheri1, Lars-Erik Strender, Henry Montgomery
1Internal Medicine, Ospedale S. Elia, Caltanissetta, Sicily, Italy. federico.vancheri@ki.se
Insights
Cardiovascular risk assessment varies among general practitioners, internists, and cardiologists. These differences in risk estimation and lipid-lowering treatment recommendations can lead to inconsistent patient care.
Area of Science:
- Cardiology
- General Practice
- Internal Medicine
Background:
- Accurate quantitative assessment of absolute cardiovascular risk is crucial for effective primary prevention strategies.
- Existing risk-scoring tools are available, but clinical risk estimation is often subjective.
- Variability in risk assessment among different medical specialists may impact treatment decisions.
Purpose of the Study:
- To compare quantitative cardiovascular risk estimates made by general practitioners (GPs), internists, and cardiologists.
- To evaluate differences in recommendations for lipid-lowering treatment among these specialist groups for identical patient profiles.
Main Methods:
- A mail survey was conducted using nine clinical vignettes (four high-risk, five low-risk based on Framingham equation).
- The survey targeted 90 general practitioners, 90 internists, and 90 cardiologists in Sicily.
- Participants estimated 10-year coronary risk and decided on initiating lipid-lowering treatment for each case.
Main Results:
- Cardiologists provided significantly lower risk estimates compared to GPs and internists across most cases.
- Internists were more likely to recommend lipid-lowering treatment (mean 0.68) than GPs (0.54) or cardiologists (0.57).
- Treatment initiation exceeded 90% for risk estimates above 20% and fell below 50% for estimates below 20% across all groups; internists showed higher treatment rates even for risks below 20%.
Conclusions:
- Significant discrepancies exist in cardiovascular risk perception and lipid-lowering treatment recommendations among GPs, internists, and cardiologists.
- These variations can lead to potential over- or under-prescription of lipid-lowering medications.
- Inconsistent clinical judgment among different physician categories may result in disparities in patient care.
Background:
Quantitative assessment of an individual's absolute cardiovascular risk is essential for primary prevention. Although risk-scoring tools have been developed for this task, risk estimates are usually made subjectively. We investigated whether general practitioners (GPs), internists and cardiologists differ in their quantitative estimates of cardiovascular risk and their recommendations about lipid-lowering treatment for the same set of patients.
Methods:
Mail survey. Nine written clinical vignettes, four rated high-risk and five rated low-risk according to the Framingham equation, were mailed to 90 randomly selected GPs and to the same number of internists and cardiologists in Sicily. The doctors were then asked to estimate the 10-year coronary risk in each case and to decide whether they would recommend a lipid-lowering treatment.
Results:
In the majority of the nine cases, the cardiologists' risk estimates were significantly lower than those of the other two groups. A higher proportion of internists (mean value 0.68) decided to start treatment than GPs (0.54) or cardiologists (0.57). In all three groups, the doctors' willingness to begin treatment was over 90% when their risk estimate was above 20%, and less than 50% when it fell below this level. Internists were more prone to treat than the other two groups even when their patients' estimated risk was below 20%.
Conclusion:
When presented with the same set of clinical cases, GPs, internists and cardiologists make different quantitative risk estimates and come to different conclusions about the need for lipid-lowering treatment. This may result in over- or under-prescription of lipid-lowering drugs and inconsistencies in the care provided by different categories of doctors.
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