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Published on: November 17, 2018
Attainment of LDL-Cholesterol Goals in Patients with Previous Myocardial Infarction: A Real-World Cross-Sectional
Daniel A Gomes1, Mariana Sousa Paiva1, Pedro Freitas1,2
1Hospital de Santa Cruz - Centro Hospitalar de Lisboa Ocidental, Lisboa - Portugal.
Less than a third of post-myocardial infarction patients achieve their LDL-cholesterol (LDL-C) goal. Using the Martin-Hopkins equation, instead of Friedewald, reclassifies many patients, revealing a higher rate of uncontrolled LDL-C levels.
Area of Science:
- Cardiology
- Clinical Lipidology
- Preventive Cardiology
Background:
- European Society of Cardiology guidelines advocate for LDL-cholesterol (LDL-C) levels below 55 mg/dL for patients with established cardiovascular disease.
- The Friedewald equation is commonly used for LDL-C estimation, but the Martin-Hopkins equation offers improved accuracy.
Purpose of the Study:
- To determine the proportion of post-myocardial infarction patients achieving their LDL-C goal in a tertiary care setting.
- To evaluate the impact of employing the Martin-Hopkins equation versus the Friedewald equation on the assessment of LDL-C goal attainment.
Main Methods:
- A retrospective, single-center, cross-sectional study of 400 post-myocardial infarction patients.
- LDL-C levels and goal attainment were calculated using both Friedewald and Martin-Hopkins equations from ambulatory lipid profiles.
- Statistical significance was set at a two-tailed p-value of < 0.05.
Main Results:
- Only 31% of patients achieved their LDL-C goal when estimated by the Friedewald equation.
- High-intensity statins were used by 64%, and 37% received ezetimibe; 26% were on combination therapy.
- The Martin-Hopkins equation reclassified 7.8% of patients, with 21.6% of those previously considered controlled now exceeding LDL-C goals.
Conclusions:
- A significant majority of post-myocardial infarction patients do not meet current LDL-C targets.
- The Martin-Hopkins equation provides a more accurate assessment of LDL-C control, potentially identifying more patients requiring intensified therapy.
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