LDL-Lowering Genetic Variants Linked to Increased Risk of Diabetes
–What can genetic studies tell us about the risk of developing diabetes with cholesterol-lowering therapies?
This post was first published on MedPageToday and CardioBrief.org.
In a study published in the Journal of the American Medical Association, several LDL-lowering genetic variants were found to be associated with a reduced risk of coronary artery disease and an increased risk of type 2 diabetes. The study investigated LDL-lowering alleles in or near Niemann-Pick C1-Like 1 (NPC1L1), HMG-CoA reductase (HMGCR), PCSK9, ABCG5/G8, and low density lipoprotein receptor (LDLR). NPC1L1 is the target of ezetimibe, while HMGCR is the target of statins and PCSK9 is the target of PCSK9 inhibitors.
Luca Lotta, of the University of Cambridge, and colleagues conducted meta-analyses of genetic association studies, and included 50,775 individuals with type 2 diabetes and 270,269 controls and 60,801 individuals with CAD and 123,504 controls.
The study found that for a 38.7 mg/dL reduction in LDL-cholesterol, the genetic variants were associated with a similar reduction in risk of coronary artery disease, with odds ratios ranging from 0.54 to 0.62. However, genetic variants at the NPC1L1 locus were associated with a higher risk of diabetes (odds ratio 2.42) as compared to controls than the HMGCR and PCSK9 genetic variants (odd ratios of 1.39 and 1.19, respectively). The type 2 diabetes findings for NPC1L1 and HMGCR were highly significant (p = 9 x 107 and p = .003, respectively), but the p value for the type 2 diabetes finding for the PCSK9 variants was .03. The associations with type 2 diabetes for ABCG5/G8 and LDLR were not significant.
Treatment with statins is known to be associated with a higher incidence of new-onset diabetes, as is treatment with niacin, but the effect of ezetimibe and PCSK9 inhibitors on new-onset diabetes is unclear. An analysis of the IMPROVE-IT trial showed a small increase in new-onset diabetes in the ezetimibe group, but the difference was not statistically significant. The published data for the PCSK9 inhibitors have not shown statistically significant increases in blood sugar or new-onset diabetes (see here and here), but much more data will be available when the PCSK9 inhibitor outcomes trials are completed, starting next year.
One reason to wonder why PCSK9 inhibitors might increase blood sugar is that both statins and PCSK9 inhibitors have mechanisms of action that involve the removal of LDL from the bloodstream through upregulation of the LDL receptors. A recent study showed that patients with familial hypercholesterolemia, a disease that involves dysfunction of the LDL receptors, have a lower prevalence of type 2 diabetes as compared to their unaffected relatives. The study suggests that LDL receptor function may be involved in glucose homeostasis. I asked several experts in clinical trials or cardiovascular genetics to comment by email.
Sanjay Kaul, MD, of Cedars Sinai Medical Center in Los Angeles, sent the following comment by email:
The association of LDL-lowering alleles with CV risk is consistent across the 5 alleles. However, the association of LDL-lowering alleles with risk of T2DM is confined to NPC1L1 (large effect size, HR 2.4 and statistically robust p value) and to a lesser extent to HMGCR (HR 1.4, p = 0.003). This finding suggests an increased risk of incident diabetes with ezetimibe that targets NPC1L1. However, the incidence of new onset DM (defined as initiation of anti-diabetic medication during trial or two consecutive fasting glucose ≥126 mg/dL) in IMPROVE-IT trial was 720/5297 (13.6%) in EZ/SV vs. 694/5341 (13.0%) in SV, HR 1.04 95% CI (0.94, 1.15). The additional LDL lowering with ezetimibe was approximately 16 mg/dL which translates into a HR of 1.10 per mmol/L LDL lowering (1.04/16) x 38.7). This is considerably lower than the HR of 2.4 observed in the gene association study. Of course the median exposure in IMPROVE-IT was only 7 years when about 42% of subjects had discontinued treatment compared with the lifetime exposure in the gene association study. One would need a larger data set (meta-analysis of SHARP, SEAS, IMPROVE-IT, ARBITER-6, etc.) to better characterize the risk of incident T2DM. Even if we assume the association to be causal, remember the treatment effect in IMPROVE-IT was exclusively confined to the diabetic cohort who comprised 27% of the overall cohort (HR 0.86, 95% CI 0.78, 0.84 vs HR 0.98 for the non-diabetic cohort).
Joshua Knowles, MD, PhD, of Stanford University in California, sent the following comment:
This is an important paper by a very good group of investigators. The overall results of this Mendelian randomization study are not that surprising but are still very important, that there is an inverse relationship between LDL-C lowering genetic alleles and risk of type 2 diabetes.
There has been a lot of evidence emerging about this from the large statin trials to studies of [familial hypercholesterolemia (FH)] patients to prior Mendelian randomization studies.
The fact that they observe some heterogeneity of effect is interesting in that it might suggest that different ways of lowering LDL-C might result in different levels of risk for type 2 diabetes.
The overall effect they see for NPC1L1 genetic variants (a risk of 2.42 for type 2 diabetes for every 1 mmol/L reduction in LDL-C) suggests that this mechanism might theoretically be more potent for causing T2D risk.
However, in practice, ezetimibe does not lower LDL-C by 1 mmol/l but more like by ~0.5 mmol/L (or even less) so the actual effect size in ezetimibe trials (like IMPROVE-IT) will be less than 2.4 (probably more like 1.2). And in IMPROVE IT the effects might be masked to some extent as everyone was also on a statin and we don’t know if the effects would be additive.
The large scale PCKS9 trials will be revealing for their risk. Certainly these studies do not suggest that there will be a big effect which is good for the patients taking them now.
Please emphasize that overall message remains that for high risk patients (like FH) the beneficial effect of LDL-C lowering will greatly trump the increased risk of type 2 diabetes.
What is fascinating for me is we really have no idea whether the increased T2D risk is because the drugs decrease insulin secretion or increase insulin resistance. Knowing this will be critically important.
I am very interested in this topic and have a Doris Duke Clinical Investigator Grant to study it in a randomized trial. We will be measuring (with gold standard measures) insulin secretion and insulin resistance pre and post statin.
Remember that T2D is simply defined as an increase in blood glucose. These drugs seem to mostly push people that are ALMOST diabetic just over the threshold (see our recent paper published in the American Journal of Cardiology). Simply having an average blood glucose level go from 123 mg/dl to 127 mg/dl probably is not that important to a single person’s individual risk of downstream bad outcomes (though that person would go from being a pre-diabetic to a diabetic with that small change in blood glucose). What may be more important is HOW and WHY that blood glucose level rose. If there is not enough insulin being made, the treatment would potentially be different than if the body is not responding to insulin.
Another key message is to reemphasize the importance of exercise and maintenance of a healthy weight to potentially counteract the effect of these LDL-C lowering drugs on T2D. We should continue to advocate those important lifestyle choices for our patients. If you look at the data in [our paper] the risk of T2D with a statin is EXTREMELY low (3%) in those with normal fasting glucose and normal triglycerides (or weight) but very high in patients with pre-diabetes and high triglycerides (or overweight)– 23%!
I also received this comment from Daniel Swerdlow, MBBS, PhD, of Imperial College London:
This is a well-designed analysis that uses methods that are now established for using genetics to explore the effects of drug target modulation. The associations of the variants in NPC1L1 and PCSK9 on type 2 diabetes risk are not unexpected, as it appears from other large genetic analyses published recently that LDL-C lowering associates with higher diabetes risk, regardless of the mechanism through which this is achieved. This has been borne out in trials of statins and niacin, though the IMPROVE-IT trial of ezetimibe did not demonstrate an increased risk of diabetes in the treatment arm. The effect sizes in studies such as this are less informative than the direction of the effect, since direct comparison of the magnitudes of genetic effects and drug treatments is restricted by the differences in duration and potency of the two ‘interventions’. The biological analogy, however, allows the directions and scope of genetic associations to be interpreted as proxies for drug effects on the target encoded by the gene in question. The issue of new onset diabetes risk is pertinent for the PCSK9 inhibitors, and although analyses of trial data to-date has shown no association, they have been limited by duration of follow-up and sample size. The large phase 3 outcome trials are expected to focus carefully on diabetes risk with these new agents.
The over-riding message that analyses such as this in JAMA emphasize is that lipid-modifying treatments are only one part of cardiovascular risk reduction, and must be accompanied by lifestyle modification, such as appropriate diet and higher physical activity, in order to optimize risk reduction and mitigate against the small increase in diabetes risk that has been shown to be associated with some lipid-modifying drug treatments.
Diminishing returns in medical therapy
I’m a few months late, but I want to mention an editorial by Rodney Hayward that was published in The BMJ in December 2015. His topic is treatment of diabetes, but the principles he discusses also apply to other areas of medicine. The key concept is that even in high risk conditions such as diabetes, adding a second or third medication brings diminishing absolute returns as residual risk decreases as each additional treatment is added. He starts by describing the disturbing consequences of untreated or poorly managed diabetes, and how things have changed with modern therapies.
When I began my medical training in 1980, I commonly encountered patients whose bodies were ravaged by end stage complications of diabetes. These patients often had marked visual impairment, debilitating neuropathy, myopathies, and diabetes related renal insufficiency, well before age 65 years. I still occasionally see such individuals, but they are rare, and tend to come from the 10-15% of patients who still have poor glycemic control. Improvement in diabetes care is a medical success story, but increasing evidence suggests that overly aggressive treatment is an under-appreciated problem.
The problem is that focusing on relative treatment effects ignores the law of diminishing returns; past a certain point, additional reductions in HbA1c have limited benefit in absolute terms for most older patients with type 2 diabetes. Hayward explains:
Diminishing returns is a mathematical fact, not a theory. Try this simple experiment. Serially tear a piece of paper in half and throw one half away. You will notice that the relative effects never diminish (you reduce the piece of paper by half each time), but it doesn’t take long for the 50% you throw away to become tiny. The many patients with end stage diabetes we saw in the 1980s often spent years with poor control of both glycemia and blood pressure. They had no access to metformin, home blood glucose monitoring, angiotensin converting enzyme inhibitors, calcium channel blockers, and a host of other modern interventions. Each of these interventions substantially reduces disease progression and has an even larger effect on end stage diabetes complications. Because each intervention substantially reduces end stage complications, it should not be surprising that recent evidence has found intensive glycemic control to have a small absolute effect on end stage complications for most patients with type 2 diabetes. The law of diminishing returns predicts this result. Also, as the benefits of tighter glycemic control become smaller, the chances that treatment harms will outweigh treatment benefits become much greater.
Hayward ends by stating that the public good would best be served by focusing on the minority of diabetes patients who continue to be at substantial risk of diabetes-related morbidity and mortality and promoting more shared decision making with older diabetes patients who already have at least moderate blood glucose control.
The same principle of diminishing returns applies in other areas of medicine, such as in medications that reduce cardiovascular risk by lowering blood pressure or cholesterol. As the second and third medication is added, the patient’s risk of experiencing a cardiovascular event diminishes and in some cases a point can be reached where the absolute benefits become very small and it becomes difficult to tell whether benefits outweigh harms. When benefits become small, it can sometimes be hard to determine whether they exist at all or, perhaps, exist in only in patients with certain characteristics. See this post by Harlan Krumholz for a discussion of these issues in the area of treatment of high blood pressure.
In the area of cholesterol-lowering drugs, the new PCSK9 inhibitors have been in the news and I’ve previously discussed them on this blog (here, here and here). Two of these drugs, evolocumab and alirocumab, are approved in the U.S. and so far aren’t selling well. There are several reasons for that, including that the outcomes trials haven’t been completed yet and that the drugs are much more expensive than statins, almost all of which are available as generics. Another reason, related to the first two, is that insurance companies have imposed strict preauthorization requirements for these drugs. Another reason relates to the theme of this post, namely the diminishing returns from adding additional drugs. I’m going to take the treatment of heterozygous familial hypercholesterolemia (HeFH) as an example, specifically patients with HeFH who do not have clinical atherosclerotic cardiovascular disease and who are thus being treated to prevent a first event (i.e., “primary prevention”).
HeFH greatly increases the risk of developing premature atherosclerotic cardiovascular disease compared to individuals with normal levels of cholesterol. Before statins became available, the drugs that were available were not very effective. However, in recent decades, first moderate intensity and then high intensity statins were instituted as standard treatment of HeFH, often with additional drugs such as ezetimibe. According to UpToDate, atorvastatin can reduce LDL by up to 54% and rosuvastatin can reduce LDL by up to 63%. Ezetimibe can lower LDL by another 15% or so in patients on a statin. Given that most patients with HeFH have LDL in the 200s or below, a reduction of 50-60% achieves very reasonable LDL levels. There is evidence that even moderate doses of statins greatly reduce the risk of heart disease in HeFH patients who are being treated for primary prevention. A study published in JAMA in 2014 showed that young adults with HeFH have near-normal levels of atherosclerosis 10 years after initiation of statin therapy. The use of high intensity statins has been shown to greatly reduce the progression of atherosclerosis in adult HeFH patients (see here and here) even when compared to moderate statin therapy. Thus, HeFH patients who start treatment early and are able to reduce their LDL to normal or near-normal levels over many years with a statin or statin + ezetimibe often do not need an additional drug, as their risk is greatly reduced.
So which HeFH patients do need an additional LDL-lowering therapy, such as a PCSK9 inhibitor? To my knowledge, there are no risk calculators available to guide decisions in this area. HeFH patients who start with very high LDL, who can’t tolerate high doses of statins or can’t tolerate statins at all, who started treatment late, who have additional cardiovascular risk factors, or who have had imaging that shows significant subclinical atherosclerosis, are going to be at higher risk, on average. There is quite a bit of uncertainty involved, as with estimation of cardiovascular risk in general. In addition, there are personal preferences involved, as people vary greatly in terms of how much risk they are willing to live with.
Interestingly, a task force of the International Atherosclerosis Society just published a consensus statement in The Lancet Diabetes & Endocrinology that discusses some of the factors involved in determining cardiovascular risk in FH. Although the criteria they propose for use of additional therapies are more stringent than I foresee being adopted in the U.S., the paper contains some very useful discussion of the heterogeneity of cardiovascular risk in FH and ways of trying to predict who is at higher risk. I’m pasting in their proposed criteria below, in case anyone is interested, but I do recommend the entire paper.
Do PCSK9 inhibitors affect diabetes risk?
Two PCSK9 inhibitors, evolocumab and alirocumab, are under consideration at the FDA and will be the subject of advisory committee meetings on June 9 and 10. Evolocumab and alirocumab are monoclonal antibodies that inhibit proprotein convertase subtilisin/kexin type 9 (PCSK9), an enzyme that plays a role in regulating levels of LDL cholesterol by binding to LDL receptors and promoting their degradation; the resulting reduction in LDL receptors reduces the liver’s ability to remove circulating LDL. PCSK9 inhibitors prevent PCSK9 from degrading LDL receptors; the increased LDL receptor density results in increased clearance of LDL from the bloodstream. The expectation is that lower LDL levels in patients who receive PCSK9 inhibitors will result in a reduction in cardiovascular events and this strategy is currently being tested in large outcomes trials, which will be completed in a few years. Until those trials are completed, the safety and efficacy of these drugs will not be known.
One of the unknowns with PCSK9 inhibitors is their effect (if any) on blood glucose levels and the development of new-onset diabetes. Statins are known to increase the risk of new-onset diabetes by about 9% overall, with increased risk from intensive vs. moderate intensity statin therapy. One reason to wonder whether PCSK9 inhibitors might have a similar effect is that both statins and PCSK9 inhibitors, though having different mechanisms of action, both involve the removal of LDL through upregulation of LDL receptors. The reason statins increase blood glucose is unknown, but recently it has been suggested that that the LDL receptor might be involved, with greater LDL receptor activity correlating with a higher risk of diabetes. A recent study showed that patients with familial hypercholesterolemia (FH) in the Dutch FH registry have a lower prevalence of type 2 diabetes as compared to their unaffected relatives. FH is a genetic disease in which the LDL receptor function is reduced, leading to higher serum levels of LDL cholesterol. In addition, the study found a dose-response relationship, with more severe FH mutations linked to lower risk of diabetes as compared to less severe mutations. In other words, the study showed an association between less functional LDL receptors and a lower prevalence of type 2 diabetes. In an editorial, David Preiss and Naveed Sattar note that the study suggests that “the expression and function of LDL receptors may be important for glucose homeostasis” and that the advent of PCSK9 inhibitors provides an opportunity to further examine a possible link between LDL receptor expression and glycemia and diabetes risk.
I’ve looked at some of the published data on PCSK9 inhibitors and blood glucose and diabetes risk. With respect to alirocumab, I abstracted a subset of the data in an abstract presented at the March 2015 American College of Cardiology conference.
As you can see, the data show small numerical increases in new-onset diabetes and worsening of preexisting diabetes, as well as larger increases in fasting glucose and hemoglobin A1c over the course of a year in patients on alirocumab as compared to patients on placebo (all patients were also on a statin). With respect to evolocumab, I found the following data:
1. A 52-week placebo-controlled trial of evolocumab in patients with hyperlipidemia published in the New England Journal of Medicine in 2014 found the mean change from baseline for fasting glucose at week 52 was 1.3 mg per deciliter for evolocumab and 0.4 mg per deciliter for placebo. The mean change from baseline for HbA1c at week 52 was 0.02% for evolocumab and 0.00% for placebo (table 3 and supplementary table S3).
1. The Osler trials recently published in the New England Journal of Medicine showed that 1.1% of the patients who received evolocumab developed diabetes, as compared to 0.7% of the patients in the standard of care group.
What do all these small differences add up to? It’s not possible to say yet, but I assume someone will do a meta-analysis at some point, and there may be some discussion of this issue in the FDA review of these agents, which will be posted prior to advisory committee meetings.
I should note that even if PCSK9 inhibitors do increase blood glucose and the risk of developing diabetes, they would still be very worthwhile for patients who are at significant risk of heart attack and stroke, if they are shown to be effective and have acceptable safety.
Alzheimer’s disease, familial hypercholesterolemia, and clinical trials
Welcome Jesse Ballenger to the blogosphere. Jesse is a historian who specializes in the history of medicine and is the author of Self, Senility and Alzheimer’s Disease in Modern America. Gary Schwitzer alerted me to Jesse’s post on Gina Kolata’s recent Sunday New York Times piece, How Do You Live Knowing You Might Have an Alzheimer’s Gene?, as well as to the existence of his blog, To Conquer Confusion: A Historian’s Perspective on the Science and Experience of Alzheimer’s Disease and Dementia. Jesse has both praise and criticism for Kolata’s story, and his post brings needed perspective on the history of research on Alzheimer’s as well as on the choice on Kolata’s part to present only the very optimistic views of certain Alzheimer’s researchers who “say that within a decade there could be a drug that staves off brain destruction and death.” I agree with him that “Kolata should have raised questions about this claim, and talked to experts not directly involved in the research who are far less optimistic about its potential to so quickly lead to effective treatments.” So please go read his post.
Kolata describes an American family in which many members are afflicted with early-onset Alzheimer’s caused by an autosomal dominant mutation. Because the mutation is dominant, each affected family member has a 50% chance of passing the mutation on to each of his or her chidren. The story is tragic and brought to my mind the emotions I experienced in 2001, when my daughter was diagnosed with heterozygous familial hypercholesterolemia (heFH) at age 8. This is a genetic disease that causes very high LDL-cholesterol from birth and if untreated leads to early heart disease in a high percentage of patients. At the time, I was only vaguely aware that there was a history of heart disease in my husband’s family and that his mother had had a heart attack. At the urging of my daughter’s cardiologist, we asked my husband’s mother for more details and learned that her father had died of a heart attack at 35 and her brother, her only sibling, died of a heart attack at 40. My mother-in-law suffered her first heart attack at age 58. My husband inherited the mutation but has only a mild case, and my mother-in-law had never been told anything other than that she had high cholesterol, so my daughter’s diagnosis was the first occasion anyone in the family realized that the family history of early heart attacks was caused by a mutation. Fortunately, unlike the case of Alzheimer’s disease, the risk associated with heFH can now be greatly reduced if patients are treated from an early age with a statin. Homozygous FH patients, who have two copies of an FH mutation, are not so lucky and usually must undergo LDL apheresis on a regular basis.
Back to Kolata’s article: I want to expand a little on a comment I wrote on Jesse’s post. My comment related to Kolata’s comparison between the development of statins and the development of drugs to prevent Alzheimer’s. As described in Kolata’s article, certain drugs in development are being tested in persons who are carriers of an Alzheimer’s mutation but have not yet developed symptoms of the disease. The patients will receive one of several drugs or a placebo, and will be monitored for the development of certain biomarkers and, importantly, for the development of memory problems. Kolata states that “Statins, the drugs that are broadly prescribed to block the body’s cholesterol synthesis, were first found effective in studies of people who inherited a rare gene that led to severe and early heart disease.”
The disease Kolata is presumably referring to is FH, but whether her statement is accurate depends on how one defines “effective.” Early in the development of statins, after they had been tested in animals, they were given to a few patients with homozygous FH and heterozygous FH, as described in this 1992 article in the Journal of Lipid Research. However, at that time the drugs were only being tested for their ability to lower LDL and for safety. LDL-lowering is a surrogate endpoint. If by “effective” one means the prevention of heart attacks and other cardiovascular events, the statement is inaccurate. When statins came on the market in the late 1980s, FH patients were excluded from the clinical trials that were conducted to show than statins not only lowered LDL but also prevented heart attacks, strokes and death. It was considered unethical to give an FH patient a placebo. To this day, no randomized controlled trial of statins with clinical endpoints has been done in FH patients and it is unlikely that one will ever be done.
Direct evidence of the effectiveness of statins in heFH includes two observational studies, one of patients in a British registry and one of patients in a Dutch registry. In addition, the ASAP trial compared a high dose statin with a moderate dose statin in heFH patients, but the endpoint was carotid intima media thickness, “IMT” (i.e., thickness of the carotid artery measured by ultrasound). There was also a trial of statin vs. placebo in teenage FH patients using IMT as an endpoint. In addition, many trials of statins have shown a benefit in non-FH patients with elevated LDL and it is reasonable to assume that this benefit would carry over to FH patients.
Thus, the comparison between the trials of investigational Alzheimer’s drugs in mutation carriers and the testing of statins in FH patients is not particularly apt. The Alzheimer’s trials in patients with hereditary Alzheimer’s will be measuring the development of clinical symptoms of Alzheimer’s (i.e., memory loss, confusion, etc.). The tests of statins in FH patients looked only at the effect of the drug on a surrogate endpoint (i.e., LDL-lowering) and no trials with clinical endpoints (i.e., heart attacks and other cardiovascular events and death) were done in FH patients.
Endo A. The discovery and development of HMG-CoA reductase inhibitors. J. Lipid Res. 1992 33:(11) 1569-82.
Neil A, Cooper J, Betteridge J, et al. Reductions in all-cause, cancer, and coronary mortality in statin-treated patients with heterozygous familial hypercholesterolaemia: a prospective registry study. Eur Heart J 2008; 29: 2625-2633.
In January, I blogged about an open letter by Harlan Krumholz and Rodney Hayward to the panel that is currently engaged in writing new guidelines for cholesterol management. As discussed in my post, their letter challenges the committee to replace the current “treat to target” paradigm with a “tailored treatment” approach. This has been one of my more popular posts of all time, and people often find my blog by Googling “Krumholz Hayward open letter” and the like. It also has been discussed on CardioExchange. So I knew their paper had created a bit of a buzz in the cardiology community. Well, it appears that some in that community are not happy that someone is challenging the current paradigm. Dr. Krumholz reports on CardioExchange that he was approached by an influential person and asked to stop speaking out on the new approach he is advocating:
I had an experience the other week that reminded me that speaking your mind has its challenges. I was approached by someone with influence who asked me to cease my discussions on a particular topic. The reason was oblique – and I was told that people are viewing me negatively because my views are strong and wondering if there are conflicts of interest that are influencing me. In essence, I was told that people are whispering about me – though no names were given.
Now this topic was part of a scientific debate that has strong implications for guidelines and performance measures – and, well, patients. It is a situation where I am questioning conventional wisdom – and the long held beliefs by many individuals. I am trying to do so respectfully – and through the use of evidence – but still it is questioning dogma.
This conversation prompted me to write a message to my younger colleagues urging them to stand up for what they believe – and be willing to speak truth to power. I quote my friend Victor Montori, who eloquently advised a junior colleague about how to manage a concern about whether to express an opinion that was likely to be viewed negatively by her superiors. That person had been told to hold opinions tight until he had more grey hair. Victor starts by saying: ‘I have struggled with this issue for years. Turns out that this is a common struggle for those who find themselves unable to stay silent in the face of waste, error, low integrity, or abuse.’
The message Dr. Krumholz wrote is in the form of an editorial in Circulation: Cardiovascular Quality and Outcomes, entitled “A Note to My Younger Colleagues … Be Brave.” The editorial is open access, so I urge you to go read it in its entirety, but I’m going to quote this paragraph, which seems key:
If you take the path toward clarity, I guarantee that you will occasionally find people who will disparage you. They may seek to undermine you, find ways to marginalize you, and try to incriminate you. They may come from directions that surprise you. Powerful ideas often attract attacks that focus more on individuals than ideas. If you raise inconvenient truths or voice uncomfortable opinions, particularly if they threaten someone’s comfortable status quo, then you will discover much about the character of those with whom you disagree. But always take the high road, engage in dialogue about ideas and evidence, and be motivated by the opportunity to best serve patients and the public. You will not regret it.
Although I am not a physician, I certainly recognize and have experienced the issues Dr. Krumholz is describing in my own life. Speaking uncomfortable truths often isn’t considered nice and doesn’t win popularity contests, but it is necessary for progress to be made. So I will keep covering this controversy, and I invite you to read Dr. Krumholz’s editorial and then let me know your thoughts.
Addendum: Here are comments by Ben Goldacre on Dr. Krumholz’s editorial.
Hayward and Krumholz: Open Letter to the Adult Treatment Panel IV of the National Institutes of Health
Rodney Hayward and Harlan Krumholz have published an open letter to the committee that is currently engaged in writing updated guidelines for cardiovascular risk reduction. Their letter challenges the committee to replace the current “treat to target” paradigm with a “tailored treatment” approach, as discussed below.
The primary focus of the current set of guidelines, ATP III , was a strategy of treating patients to target LDL-cholesterol levels, known as the “treat to target” paradigm. Moreover, the “cutpoints,” or triggers, for initiating therapy are also based on LDL levels, with higher risk patients having lower cutpoints. However, as Hayward, Krumholz and colleagues have previously argued (see here, here and here), the treat to target paradigm was not based on the results of clinical trials, since no major randomized controlled trial has tested the benefits of treating patients to LDL targets. Rather, the trials have used fixed doses of lipid-lowering drugs.
Hayward and Krumholz argue that LDL levels are not particularly useful in assessing the 2 factors that help determine the benefit of a treatment for an individual patient: (1) risk of morbidity and mortality in the absence of treatment (baseline risk) and (2) the degree to which the treatment reduces that risk. For calculating baseline risk, LDL is only one of several factors that are considered, including age, gender, smoking, blood pressure, HDL, and family history of premature cardiovascular disease and in most cases contributes little to the estimate of cardiovascular risk. For the second factor, clinical trials of statins demonstrate that the relative benefits of statins are not substantially related to pretreatment LDL levels. Thus, a high risk person may have low LDL levels and a low risk person may have high LDL levels and the high risk person will derive more absolute benefit more from treatment even though his or her LDL is low (illustrated in this table).
Hayward and Krumholz also argue that treating to LDL targets can lead to treatments that have not been shown to be safe. The treat to target approach can mean initiating treatment in patients at a relatively young age, leading to potentially many years of statin treatment. The long-term safety of this approach is not yet known. In addition, the perceived need to reach an LDL target often leads to the addition of nonstatin drugs such as niacin and ezetimibe when the maximum dose of a statin is reached and the patient’s LDL is still above goal. The benefit and safety of adding these drugs on top of statin therapy has not yet been demonstrated.
The “tailored treatment” approach Hayward and Krumholz advocate bases intensity of statin treatment on a person’s 5- or 10-year cardiovascular risk. In a previous paper, Hayward et al. tested a tailored treatment model of primary prevention using 5-year coronary artery disease (CAD) risk and compared it with the treat to target approach. In their model, a person with 5% to 15% risk would be prescribed 40 mg simvastatin and a person with greater than 15% risk would be prescribed 40 mg atorvastatin. Using this simulated model, the tailored treatment approach was found to prevent more CAD events while treating fewer persons with high-dose statins as compared to the treat to target approach.
For the reasons stated above, the tailored treatment approach does appear to me to be superior to the treat to target approach. At the same time, I note that the decision to take a statin is a personal decision. For primary prevention, the absolute benefit for most people of taking a statin over a 5 or 10 year period is small. Each person should calculate their baseline risk (there are online risk calculators for this), look at how much their risk can be lowered with a statin, and ask themselves if the benefit seems worth it to them in terms of cost, inconvenience and possible side effects (including a small increase in risk of developing diabetes).
In addition, I note that neither approach is designed to apply to patients with heterozygous familial hypercholesterolemia (FH). Due to the very high risk of premature coronary heart disease in FH patients (approximately 85% of male FH patients and 50% of female FH patients will suffer a coronary event by age 65 if untreated), the treatment paradigm for FH patients is that all are treated with statins starting in childhood or early adulthood (not everyone agrees that it is necessary to start treatment in childhood but that’s a topic for another day). In other words, FH patients are treated based on their lifetime risk, not their 5- or 10-year risk.
Hayward RA, Krumholz HM. Three reasons to abandon low-density lipoprotein targets: an open letter to the Adult Treatment Panel IV of the National Institutes of Health. Circ Cardiovasc Qual Outcomes. 2012:5;2-5.
Hayward RA, Hofer TP, Vijan S. Narrative review: lack of evidence for recommended low-density lipoprotein treatment targets: a solvable problem. Ann Intern Med. 2006;145:520-530.
Krumholz HM, Hayward RA. Shifting views on lipid lowering therapy. BMJ. 2010;341:c3531.
Hayward RA, Krumholz HM, Zulman DM, Timbie JW, Vijan S. Optimizing statin treatment for primary prevention of coronary artery disease. Ann Intern Med. 2010;152:69-77.
Rind DM. Intensity of lipid lowering therapy in secondary prevention of coronary heart disease. In: Freeman MW, Sokol HN, eds. UpToDate. 19.3 ed.
David Rind recently revived his blog Evidence in Medicine and has a post up on the SHARP trial. The SHARP trial, which I discussed recently on this blog and on Gooznews, is the basis for Merck’s application for a new indication for its drugs Vytorin (ezetimibe/simvastatin) and Zetia (ezetimibe). David explains why the results in SHARP are consistent with previous evidence on the effect of statins in patients with chronic kidney disease, both pre-dialysis and on dialysis.
Kevin Lomangino has an article up on the “portfolio diet,” which is a diet that emphasizes foods that lower cholesterol. Kevin explains that most of the cholesterol-lowering from this diet comes from the inclusion of foods containing added plant sterols. As I previously discussed on this blog, while plant sterols lower LDL, their effect on cardiovascular events is unknown, making the portfolio diet a bit of a crapshoot healthwise.
Review of CNN special “The Last Heart Attack”
I have a guest post up on Gary Schwitzer’s blog critiquing Sanjay Gupta’s promotion of calcium scans and overhyping of extreme diets.