"We hope this study will be the final nail in the coffin, providing strong evidence that, within the same person, fasting or not before a lipid level test doesn't matter for predicting cardiovascular risk," said corresponding author Samia Mora, MD, MHS, a cardiovascular medicine specialist and director of the Center for Lipid Metabolomics in the Divisions of Preventive and Cardiovascular Medicine at the Brigham and an associate professor at Harvard Medical School. "This should reassure health care providers and patients that it doesn't make a difference if you fast or don't fast if the goal is to predict your cardiovascular risk."
To conduct their study, Mora and colleagues conducted a post hoc prospective follow-up study of participants from the Anglo-Scandinavian Cardiac Outcomes Trial-Lipid Lowering Arm (ASCOT-LLA), a randomized clinical trial. Fasting and nonfasting lipid levels for more than 8,000 participants were measured four weeks apart with no intervention in between. Patients were followed for a median of 3.3 years for major coronary events (heart attacks, fatal coronary heart disease) and atherosclerotic cardiovascular disease (heart attacks, stroke, and related deaths).
The team found that risk associations of nonfasting lipid levels with coronary events were similar to those for fasting lipid levels measured four weeks later. When patients were not fasting, they had modestly higher triglyceride levels but similar cholesterol levels compared to when they were fasting.
"We spend most of our lives in a nonfasting state. And for some patients, especially those who are elderly or have diabetes, it can be risky to fast before lipid testing," said Mora. "Health care providers held back because of concerns of variability within individuals, but the data here is so convincing. It should allow people to feel more comfortable with nonfasting lipid testing for cardiovascular risk assessment, including when taking a statin."
Mora and colleagues note some important limitations to the study. ASCOT-LLA involved European participants, and while they represent multiple European countries, the majority were white and male. The researchers expect that the findings will be relevant to more diverse populations but note that future research should assess potential ethnic and/or racial differences.