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Record W2046758304 · doi:10.1681/asn.2014090952

We Don’t Prescribe Statins to Lower Cholesterol

2014· letter· en· W2046758304 on OpenAlexaff
Marcello Tonelli

Bibliographic record

VenueJournal of the American Society of Nephrology · 2014
Typeletter
Languageen
FieldMedicine
TopicLipoproteins and Cardiovascular Health
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsHydroxymethylglutaryl-CoA Reductase InhibitorsLdl cholesterolCholesterolMedicineInternal medicine

Abstract

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Statins are an important method for reducing the global burden of noncommunicable chronic diseases (NCDs) such as, vascular disease, hypertension, and diabetes. Statins are one of the most intensively studied medications, with >200,000 patients enrolled in randomized trials. Although statins are not “magic bullets,” they have important clinical benefits when used appropriately—including reductions in the risk of death, stroke, and myocardial infarction. Because higher levels of LDL cholesterol (LDL-C) are associated with excess vascular risk in the general population, it is logical to assume that statins should be prescribed to treat hypercholesterolemia, which in turn reduces the risk of vaslar events. This assumption has served patients well, because it was the basis for most of the landmark trials that established the evidence base in favor of statin use. However, it is now time to discard the corollary of this assumption: that statins should not be used in people without hypercholesterolemia. Data now clearly show that the relative reduction in the risk of vascular events associated with a 1-mmol/L lowering in LDL-C is consistently 20%–25%, even for patients with blood cholesterol levels below the normal range.1 Thus, the primary determinant of benefit from statins is baseline risk rather than baseline LDL-C, and so normal or even low LDL-C should not preclude the use of statins in people at high vascular risk. Instead, the goal should be to identify patients whose clinical characteristics (including LDL-C) place them at higher vascular risk, and increase the use of statins and other beneficial therapies in this population. A risk-based approach is more rational for all patients, but especially so for the care of CKD patients, in whom LDL-C levels are less reliable predictors of vascular risk than in the general population2 and who may be at exceedingly high vascular risk despite normal or low cholesterol levels. In fact, the risk of future myocardial infarction is higher among people with CKD than in those with diabetes,3 who are already considered to be in the highest risk category for vascular events. In response to the evolving evidence, guideline producers around the world have adjusted their primary criterion for statin prescription accordingly, with most recommendations now appropriately based on overall risk and not LDL-C alone. Two recently published guidelines that take this approach are those from the international Kidney Disease Improving Global Outcomes (KDIGO) organization (which apply only to people with CKD)4 and those from the American College of Cardiology/American Heart Association (ACC/AHA)5 (which apply to all adults). Although both guidelines use overall risk as the key criterion for statin prescription, the KDIGO guidelines are simpler to apply, because risk is estimated chiefly by age and the presence/absence of prior vascular events and diabetes (Table 1).Table 1: Comparison of the KDIGO and ACC/AHA guidelines: Criteria for statin prescription in people with nondialysis-dependent CKD (any stage)In this issue of JASN, Colantonio and colleagues report an interesting analysis that compares the performance of the KDIGO and ACC/AHA guidelines in a large national cohort of US adults (the Reasons for Geographic and Racial Differences in Stroke [REGARDS] study).6 The REGARDS study included white and black adults from across the United States; the current analysis focused on those who were aged 50–79.9 years and had CKD (eGFR<60 ml/min per 1.73 m2 or albuminuria>30 mg/g) but were not treated with dialysis. Colantonio and colleagues used the clinical characteristics of the 4726 participants with CKD to identify those who would be recommended statins by the two sets of guidelines, to assess who actually received statins in clinical practice, and to ascertain the occurrence of vascular events (fatal/nonfatal stroke, myocardial infarction, and death from coronary disease) over 5 years of follow-up. This simple but rigorously done analysis yielded the following key findings. First, despite their very high vascular risk (average 10-year risk of vascular events of 14.1%), only 50% of CKD patients were taking statins. The underuse of statins in high-risk CKD populations has been repeatedly reported for more than a decade,7 and is a key quality gap that clinicians should address. There is strong evidence that statin-based regimens safely reduce the risk of vascular events in people with nondialysis-dependent CKD, and that the absolute risk reduction is especially favorable in this population due to their high baseline risk. Although there is no evidence that statins improve outcomes in dialysis patients, neither of the two guidelines recommend initiation of statins in this population. Second, although the KDIGO and ACC/AHA guidelines use very different methods for estimating future vascular risk (and were developed independently by separate groups of experts), concordance between the two is extremely high. In fact, Colantonio and colleagues found that 92% of CKD patients in whom statins were recommended by KDIGO were also recommended for statin treatment by the ACC/AHA. This suggests that among people with CKD who are aged 50–80 years, the differences between the guidelines are unlikely to cause much confusion for clinicians about who should receive statin treatment. Third, although the two guidelines reach very similar conclusions when applied to individual patients, the KDIGO guideline is substantially less complex to use. For the population studied by Colantonio and colleagues, KDIGO recommends that all should be treated, whereas the ACC/AHA guideline requires clinicians to assess whether the patient has coronary disease or diabetes, to measure LDL-C, and to use a risk calculator before deciding who to treat or not. More complex guidelines are less likely to be used in practice,8 meaning that more complicated recommendations are less likely to increase the low prevalence of statin use in CKD populations. For this reason, the KDIGO Lipid Guideline Development Work Group placed a high priority on drafting simple recommendations that would be easy for clinicians to use. Fourth, Colantonio and colleagues did not study CKD patients aged <50 years, so the consequences of applying the KDIGO versus the ACC/AHA guidelines for this population are unknown. KDIGO recommendations for nondialysis CKD patients aged <50 years are more complex than for those aged ≥50 years (Table 1) but still less complex than the ACC/AHA recommendations. In essence, KDIGO recommends statin therapy for all such patients with prior vascular events, diabetes, or a functioning kidney transplant, in whom the 10-year risk of vascular events is very high. For the smaller number of CKD patients aged <50 years who do not meet these criteria, the KDIGO guideline suggests the use of a risk calculator, with statins advised for those in whom 10-year risk is >10%. By contrast, the ACC/AHA guideline again requires LDL-C measurement and use of a risk calculator, with treatment recommended for those in whom 10-year risk is >7.5%. These considerations suggest that for those aged <50 years, the ACC/AHA guideline will recommend for statin treatment in a larger proportion of CKD patients than the KDIGO guideline, and that most of the additional statin recipients will have 10-year risks between 7.5% and 10%. Because thresholds of >7.5% and >10% are both arbitrary, this difference does not imply that one guideline is superior. However, the added complexity of the ACC/AHA guideline seems unnecessary for CKD patients, and remains a potential barrier to uptake. The negative findings of statin trials in hemodialysis patients should not distract clinicians or policymakers from the critical objective of improving care for the much larger population of people with milder CKD, in whom statins are clearly effective. In both rich and poor countries, CKD and other NCDs collectively represent the major health threat of our time.9 Population-based, risk-driven strategies aimed at preventing vascular events will be a key method for reducing death and disability, but only if they are simple enough for clinicians to rapidly apply at the bedside. The findings of Colantonio and colleagues suggest that the KDIGO guideline is more likely to achieve this goal for CKD patients than the ACC/AHA guideline. The next step is to increase the dissemination and uptake of population-based strategies for NCD control, including statins but also interruption of the renin/angiotensin system, healthy diet and exercise, smoking cessation, and control of BP, blood sugar, and body weight. Disclosures M.T. was co-chair of the KDIGO Lipid Guideline Development Work Group. He reports consultancy and speaker honoraria from Merck GmbH that were donated to charity.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.039
Threshold uncertainty score0.131

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.025
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0020.003
Scholarly communication0.0030.004
Open science0.0020.001
Research integrity0.0100.011
Insufficient payload (model declined to judge)0.0390.036

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.278
Teacher spread0.259 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations4
Published2014
Admission routes1
Has abstractyes

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Same venueJournal of the American Society of NephrologySame topicLipoproteins and Cardiovascular HealthFrench-language works237,207