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Related Experiment Videos

Lipids and risk assessment.

R Linde1, B Linde

  • 1Department of Endocrinology, Palo Alto Medical Foundation, 795 El Camino Real, Palo Alto, California 94301, USA.

Cardiology in Review
|November 7, 2001
PubMed
Summary
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Standard lipid panels may hide atherosclerosis risks. Advanced tests like apolipoprotein B and lipoprotein (a) offer clearer cardiovascular risk assessment, especially with family history.

Area of Science:

  • Cardiovascular Medicine
  • Clinical Laboratory Science
  • Atherosclerosis Research

Background:

  • Standard lipid panels can inaccurately represent lipoprotein abnormalities.
  • Atherosclerosis risk assessment is crucial, particularly for individuals with a family history of premature coronary heart disease of uncertain cause.
  • Advanced laboratory analysis can provide a more precise understanding of cardiovascular risk.

Observation:

  • The review details seven male cardiologists who initially misinterpreted their cardiovascular risk based on conventional lipid testing.
  • This highlights a potential gap in relying solely on standard lipid panels for risk stratification.
  • The cases underscore the importance of considering advanced testing when clinical suspicion of risk is high.

Findings:

Related Experiment Videos

  • Detailed laboratory analysis, including apolipoprotein B, lipoprotein (a), and lipoprotein subfractions, can significantly clarify cardiovascular risk.
  • In selected cases, homocysteine measurements also aid in risk assessment.
  • Six of the seven cardiologists reviewed had a greater cardiovascular risk than initially recognized through standard tests.
  • Implications:

    • Clinicians should consider advanced lipid testing for patients with unclear cardiovascular risk or a family history of premature coronary heart disease.
    • More comprehensive laboratory analysis can lead to more accurate risk stratification and appropriate patient management.
    • This approach parallels using advanced imaging when standard methods are insufficient for diagnosis.