A new study by the University of Michigan Medical School and VA Ann Arbor Health System challenges the medical thinking that the lower the cholesterol, the better.
Tailoring treatment to a patient's overall heart attack risk, by considering all their risk factors, such as age, family history, and smoking status, was more effective, and used fewer high-dose statins, than current strategies to drive down cholesterol to a certain target, according to the U-M study.
While study authors support the use of cholesterol-lowering statins, they conclude that patients and their doctors should consider all the factors that put them at risk for heart attack and strokes.
The findings will be released online Monday ahead of print in the Annals of Internal Medicine.
"We've been worrying too much about people's cholesterol level and not enough about their overall risk of heart disease," says Rodney A. Hayward, M.D., director of the Veterans Affairs Center for Health Services Research and Development and a professor of internal medicine at the University of Michigan Medical School.
The National Cholesterol Education Program recommends harmful LDL cholesterol levels should be less than 130 for most people. High risk patients should be pushed even lower -- to less than 70.
The U-M study took a different approach, called tailored treatment, which uses a person's risk factors and mathematical models to calculate the expected benefit of treatment, by considering:
•A person's risk of a heart attack or stroke without treatment;
•How much a statin decreases the risk; and
•Potential harms from the treatment
"These are the three factors that determine the net benefit of a treatment. Our fixation on just one factor, LDL cholesterol, is leading us to often treat the wrong people," Hayward says.
In the recent study, U-M physicians who worked with Yale University School of Medicine used data from statin trials that included Americans ages 30-75 with no history of heart attack.
Study authors evaluated the benefit of five years of treatment that was tailored, on coronary artery disease risk factors such as age, family history, diabetes, high blood pressure, smoking status, and recently CRP, C-reactive protein.
The tailored approach was more efficient (more benefit per person treated) and prevented substantially more heart attacks, strokes and cardiovascular deaths than the currently recommended treat-to-target approaches.