Letâ€™s talk about the newest cholesterol myth gone busted.
I can hardly write; Iâ€™m so giddy. Thatâ€™s what happens to me when simplicity and obviousness triumphs over complicated testing that adds nothing to (or even clouds) the big picture.
They come to my office with pages of data dissecting the particle sizes and sub-fractions of cholesterol–Apo this and that. Truth be told, Iâ€™ve never understood this data. These pages stream with nonsense. Get this: nuclear magnetic resonance spectroscopy determines the sizes and concentrations of cholesterol particles. (What?) LDL and HDL (and even VLDL) levels are broken down into component parts. Graphs are plotted, risk profiles drawn and money is charged. All this is done in the name of predicting heart events–let’s say for a VIP patient who carries 50 extra pounds, never exercises and can’t sleep because he’s worried about his business.
A few small studies have correlated certain particle sizes with cardiovascular risk. (Iâ€™m not saying which onesâ€”because as you can guess it doesnâ€™t matter.) More than studies though, this fad was fueled by the false notionâ€”so ingrained in those drawn to complexityâ€” that better health can be had with more testing and more therapy. This is wrong, and I am happy to tell you about the downfall of complex cholesterol particle analysis. As always, I’ll describe the details of the story and then the big picture.
The details on the downfall of cholesterol particle testing:Â In this weekâ€™s issue of Circulation, researchers from the UK published an analysis of 5000 vascular events from the Heart Protection Study–a 20,000-patient, 5-year study of high-risk patients treated with either simvastatin or placebo/vitamins. The researchers studied how well regular cholesterol levels and said special analysis of cholesterol fractions (ApoB, Apo A1, and lipoprotein particles) predicted heart events. The results were clear: though each of the measures individually predicted events, the complicated analysis of particle sizes added no incremental value over just a simple cholesterol test.
An accompanying editorial by Dr. Ira Ockene, from the Univ. of Massachusetts, summed up the conclusion beautifully: (emphasis mine)
â€œâ€¦[We] need to recognize that our hunt for progressively finer discriminatory tools for risk assessment is a misplaced effort. The underlying assumption is that we have difficulty recognizing who is at risk. This is not the case. We know how to recognize those at risk for atherosclerotic disease. It used to be said that many myocardial infarctions (heart attacks) occur in people without abnormalities of traditional risk factors. This is a myth.â€
Dr. Ockene goes on to cite multiple trials confirming the fact more 90% of heart events occur in people with at least one risk factor other than cholesterol levels. Though his vernacular is different from mine, his words capture my feelings well:
â€œOur greatest problem is delivering appropriate risk factor modification to those in whom the risk is obvious; it is useful to seek better discrimination of risk in those at the margins, but it is not where our greatest effort should be focusedâ€¦
â€¦ A physician can, in quite a short interval of time, easily categorize a patient’s risk. Our greatest effort must be directed toward the overall reduction of cardiovascular risk: behavior change with regard to smoking, obesity, unhealthy diet, inadequate physical activity, and psychosocial factors such as stress and depression; greater attention to the health of our children and the facilitation of healthy behavior throughout the life course, prescription of appropriate medication for hyperlipidemia and hypertension with attendant emphasis on medication adherence; and systematic public health and societal strategies that support beneficial change. The tools we have available to define cardiovascular risk are quite adequate to the task; we now need to improve their utilization so as to further reduce the population burden of cardiovascular disease.”
Let me translate the Massachusetts’ language:
The big picture: With two eyes, a scale, a blood pressure cuff, a one-minute blood test for sugar and a three-minute conversation, a doctor can predict cardiac risk as well as a 100$ multi-page list of cholesterol particles. Attention can then focus on the three components of health: good movement, good food and good sleep.
Happy am I that the thesis of DrJohnM remains sound: Heart health can be measured and achieved simply. Itâ€™s not complicated.
My apologies to smart people who like their data more granular.