Abstract
Introduction
Dyslipidaemia is a major contributor to the increased risk of heart disease found in people with diabetes. An increase of 1 mmol/L LDL-C is associated with a 1.57-fold increase in the risk of coronary heart disease (CHD) in people with type 2 diabetes. A diagnosis of diabetic dyslipidaemia requiring pharmacological treatment is determined by the person's lipid profile and level of cardiovascular risk.
Methods and outcomes
We conducted a systematic review and aimed to answer the following clinical question: What are the effects of interventions for dyslipidaemia in people with diabetes? We searched: Medline, Embase, The Cochrane Library, and other important databases up to June 2007 (BMJ Clinical Evidence reviews are updated periodically, please check our website for the most up-to-date version of this review). We included harms alerts from relevant organisations such as the US Food and Drug Administration (FDA) and the UK Medicines and Healthcare products Regulatory Agency (MHRA).
Results
We found 21 systematic reviews, RCTs, or observational studies that met our inclusion criteria. We performed a GRADE evaluation of the quality of evidence for interventions.
Conclusions
In this systematic review we present information relating to the effectiveness and safety of the following interventions: anion exchange resins, combined treatments (for lipid modification), ezetimibe, fibrates, fish oil (for lipid modification), intensive multiple intervention treatment programmes (for lipid modification), nicotinic acid (for lipid modification), and statins.
Key Points
Dyslipidaemia is characterised by decreased circulating levels of high-density lipoprotein cholesterol (HDL-C) and increased circulating levels of triglycerides and low-density lipoprotein cholesterol (LDL-C).
Dyslipidaemia is a major contributor to the increased risk of heart disease found in people with diabetes.
An increase of 1 mmol/L LDL-C is associated with a 1.57-fold increase in the risk of CHD in people with type 2 diabetes.
A diagnosis of diabetic dyslipidaemia requiring pharmacological treatment is determined by the person's lipid profile and level of cardiovascular risk. The classification of cardiovascular risk and lipid targets for drug treatment differ between the USA and the UK, and the rest of Europe. We used the United Kingdom Prospective Diabetes Study (UKPDS) risk calculator to estimate 10-year cardiovascular risk, and categorised a 15% or more risk as "higher risk", and 15% or less as "lower risk" according to the UK clinical guidelines. We found no RCTs of a solely lower-risk population, although some studies were excluded because of insufficient data to calculate risk. In clinical practice, most people with diabetes are increasingly considered at high cardiovascular risk, regardless of the presence or absence of other risk factors.
Statins are highly effective at improving cardiovascular outcomes in people with diabetes.
Statins reduce cardiovascular mortality in people with type 2 diabetes with and without known CVD, and regardless of baseline total and LDL-C concentrations.
Different statins seem to have similar efficacy at reducing LDL-C.
Combining statins with other treatments (such as ezetimibe or a fibrate) seems to reduce LDL-C more than statin treatments alone.
Combinations could be useful in people with mixed dyslipidaemia where one drug fails to control all lipid parameters.
Fibrates seem to have a beneficial effect on cardiovascular mortality and morbidity by reducing triglyceride levels.
In people with mixed dyslipidaemia, statins may also be required.
Intensive-treatment programmes involving multiple interventions (people seen by a nurse every 4-6 weeks) seem better at reducing cholesterol than usual-care programmes.
Fish oils may reduce triglyceride levels, but also seem to increase LDL-C levels, making them of limited benefit to most diabetic patients.
Nicotinic acid seems effective at increasing HDL-C and may reduce triglycerides. However, in clinical practice, nicotinic acid alone is not the preferred treatment for hypertriglyceridaemia, but may be used in combination with a statin in people with mixed dyslipidaemia, or in those unable to tolerate fibrates.
Nicotinic acid seems to increase the incidence of flushing, particularly in female patients.
We don't know whether anion exchange resins or ezetimibe are useful in treating dyslipidaemia in people with diabetes, but they could be used in combination with a statin if the statin alone fails to achieve lipid targets.
About this condition
Definition
The term dyslipidaemia is used to describe a group of conditions in which there are abnormal levels of lipids and lipoproteins in the blood. Abnormalities of lipid metabolism are present in people with both type 1 and type 2 diabetes. The nature of these abnormalities is complex, but the core components of diabetic dyslipidaemia are elevated circulating levels of triglycerides and decreased circulating levels of high-density lipoprotein cholesterol (HDL-C). In addition, the number of small, dense lipoprotein particles is raised. Consequently — although the cholesterol content of these particles may be low — small, dense low-density lipoprotein cholesterol (LDL-C) is raised. Total cholesterol and LDL-C may be normal if glycaemic control is adequate. Triglycerides and cholesterol are the main lipids of interest. The main classes of lipoprotein considered in this review are low-density lipoproteins (LDL) and high-density lipoproteins (HDL). Diagnosis: A diagnosis of diabetic dyslipidaemia requiring drug treatment is determined by the person's lipid profile and level of cardiovascular risk. The classification of cardiovascular risk and lipid targets for drug treatment differ between the USA and the UK,and the rest of Europe. While it is accepted that people with diabetes are at high risk of CVD, in the UK and USA this high-risk group is stratified further to target those most likely to benefit from treatment. However, the European guidelines on CVD prevention classify as all high risk people with type 2 diabetes, and with type 1 diabetes and microalbuminuria. Treatment targets for the UK and USA and the rest of Europe are shown in table 1 . These targets apply to people with type 2 diabetes. It is acknowledged that in the USA, there is a case for offering drug treatment at lower lipid levels in people at high cardiovascular risk. In the USA, an "optional" goal for LDL-C of 1.81 mmol/L (70 mg/dL) is considered in people with high cardiovascular risk;and the Canadian Diabetic Association recommends a goal for LDL-C of 2.0 mmol/L or less in similarly high-risk people. Although these targets apply to people with type 2 diabetes, in clinical practice they are often extrapolated to people with type 1 diabetes. Population: For this review, we have included studies of adults with type 1 and type 2 diabetes, including those with concurrent hypertension, and we have used UK (NICE) guidelines to determine level of risk. The UKPDS (United Kingdom Prospective Diabetes Study) tool, which includes data from people with diabetes, was used to calculate level of cardiovascular risk only. Subpopulations are described in detail in the description of individual studies where appropriate. Studies in children were excluded. Studies of adults with diabetes and microalbuminuria or nephropathy are covered in a separate review (see review on diabetic nephropathy).
Table 1.
Treatment targets (mmol/L [mg/dL]) | |||
UK | USA | Europe | |
TC | Less than 5 (193) or reduced by 20–25%, whichever is lower | - | Less than 4.5 (175) |
LDL-C | Less than 3.0 (116) or reduced by 30%, whichever is lower | Less than 2.6 (100) | Less than 2.5 (100) |
HDL-C | - | For men greater than 1.2 (45); for women greater than 1.4 (55) | * |
Triglycerides | - | Less than 1.7 (150) | * |
HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol; TC, total cholesterol. *European guidelines do not define specific treatment goals for HDL-C or triglycerides, but do acknowledge that HDL-C less than 1.0 mmol/L (40 mg/dL) for men and less than 1.2 mmol/L (46 mg/dL) for women and fasting triglycerides greater than 1.7 mmol/L (150 mg/dL) are markers of increased cardiovascular risk.
Incidence/ Prevalence
Type 1 diabetes mellitus: In people with well-controlled type 1 diabetes, the incidence of dyslipidaemia is comparable to that in the general population. However, there are no detailed data on the incidence and prevalence of dyslipidaemia in people with type 1 diabetes. Type 2 diabetes mellitus: Dyslipidaemia is common in people with type 2 diabetes. A survey of 498 adults with type 2 diabetes (representing a projected population size of 13,369,754 in the US adult general population) estimated that over 70% of people have an LDL-C greater than the US treatment goal of less than 2.6 mmol/L (less than 100 mg/dL; some have estimated this figure at greater than 80%). Over half of men and two thirds of women have an HDL-C level below US recommended goals of greater than 1.0 mmol/L, while over half of men and women have elevated triglyceride levels. Only 28.2% of people with diabetes were taking lipid-modifying drugs, and only 3% were controlled to US targets for all lipids.
Aetiology/ Risk factors
In people with diabetes mellitus, insulin insufficiency or insulin resistance can have an effect on lipid metabolism. Type 1 diabetes mellitus: Little is understood about the cause of dyslipidaemia in people with type 1 diabetes. In poorly controlled type 1 diabetes, and in nephropathy, the typical cluster of abnormalities seen in diabetic dyslipidaemia does occur, and is associated with a much greater cardiovascular risk than in people without diabetes. Type 2 diabetes mellitus: Impaired insulin action may not be the only cause of dyslipidaemia. Central/visceral obesity may increase the amount of free fatty acids released into the portal circulation, increasing hepatic triglyceride production, while high-fat meals — typical of a Western diet — may exacerbate postprandial hypertriglyceridaemia. Impaired insulin action in people with type 2 diabetes is thought to result in the loss of suppression of lipolysis (the breakdown of triglycerides into free fatty acids and glycerol) in adipose tissue. This leads to an increased release of free fatty acids into the portal circulation and, consequently, increased delivery of free fatty acids to the liver. This leads to increased production of triglycerides by the liver and a decreased production of HDL-C. In addition, there is impaired clearance of triglycerides from the circulation. This resulting hypertriglyceridaemia alters the activity of other enzymes, which leads to the formation of small, dense LDL particles, and increased catabolism of HDL.
Prognosis
CVD is 2-6 times more frequent in people with diabetes than in people without diabetes, and progresses more rapidly when it occurs. Overall, it is the most common cause of death in people with diabetes, with at least 50% of deaths in type 2 diabetes caused by CHD. Dyslipidaemia is one of the major contributors to this increased cardiovascular risk. Lipid abnormalities are important predictors of CHD in people with type 2 diabetes. High LDL-C, high triglycerides, and low HDL-C have all been reported as predictors for cardiovascular risk. A 1.57-fold increase in CHD risk has been reported to be associated with a 1 mmol/L increase in LDL-C, and a 15% decrease in risk with a 0.1 mmol/L increase in HDL-C concentration.
Aims of intervention
To reduce cardiovascular mortality and morbidity; to reduce all-cause mortality; to improve lipid profile; and to minimise adverse effects of treatment.
Outcomes
Primary outcomes: Reduction in cardiovascular morbidity and mortality (including MI, stroke, PVD); a clinically significant improvement in lipid profile as opposed to achieving "target values" per se; quality of life; adverse effects of treatment including muscle events (myalgia, myositis, myopathy); changes in glycaemic control; renal failure; changes in liver enzymes (in clinical practice, an elevation of liver enzymes of at least 3 times the upper limit of normal, or creatine kinase of at least 10 times the upper limit of normal, would warrant stopping treatment). Secondary outcomes: All-cause mortality; change in any other risk factor for macrovascular disease.
Methods
BMJ Clinical Evidence search and appraisal June 2007. The following databases were used to identify studies for this systematic review: Medline 1966 to June 2007, Embase 1980 to June 2007, and The Cochrane Database of Systematic Reviews and Cochrane Central Register of Controlled Clinical Trials 2007, Issue 2. Additional searches were done using these websites: NHS Centre for Reviews and Dissemination (CRD) — for Database of Abstracts of Reviews of Effects (DARE) and Health Technology Assessment (HTA), Turning Research into Practice (TRIP), and NICE. We also searched for retractions of studies included in the review. Abstracts of the studies retrieved from the initial search were assessed by an information specialist. Selected studies were then sent to the author for additional assessment, using predetermined criteria to identify relevant studies. Study design criteria for inclusion in this review were: published systematic reviews and RCTs in any language, at least single blinded, and containing more than 20 individuals. We did not exclude on the basis of loss to follow-up. There was no minimum length of follow-up required to include studies. We excluded all studies described as "open", "open label", or not blinded, unless blinding was impossible. Studies that compared different intervention options without a placebo arm, but using a double dummy design, were included. We also searched for cohort studies and case control studies on specific harms of interventions. In addition, we use a regular surveillance protocol to capture harms alerts from organisations such as the FDA and the UK Medicines and Healthcare products Regulatory Agency (MHRA), which are added to the reviews as required. Cardiovascular risk stratification: In the UK and USA, cardiovascular risk determines whether people are offered pharmacological treatment. We have, therefore, stratified the evidence in a similar way. For this review, we have used the UK (NICE) guidelines to determine level of risk. For each RCT, we categorised the study group as "lower risk" or "higher risk". Studies which stated that the study group had a history of CVD were automatically categorised as higher risk. RCTs where no history was reported, but where patient demographics and baseline lipids were available, were categorised according to the estimated 10-year cardiovascular risk (using the UKPDS risk calculator). Those with a risk of greater than 15% were categorised as higher risk, and those with a risk of less than 15% as lower risk. The UKPDS risk calculator takes into account: duration of diabetes, sex, ethnicity, smoking, systolic blood pressure, HbA1C, total cholesterol, HDL-C, and the presence or absence of atrial fibrillation. The minimum factors used to determine risk were sex, smoking status, systolic blood pressure, and baseline total cholesterol and HDL-C. Ethnicity, HbA1c, and duration of diabetes were included if this information was reported. Most trials assessing the clinical effects of lipid-lowering treatment do not record the presence or absence of atrial fibrillation: this factor was therefore assumed to be absent in the calculation of cardiovascular risk. RCTs were excluded if the authors did not report the presence or absence of a history of manifest CVD, and where the minimum required risk factors as stated above were not recorded. We found no RCTs in people categorised as lower risk. We excluded some studies because the authors did not report sufficient data to calculate risk, and these may have included lower-risk populations. Clinical significance criteria for determining changes in lipid profiles: For the outcome of lipid modification, only studies which either reported the proportion of people reaching treatment targets, or which showed a decrease from baseline for LDL-C of 30% or more, or an increase in HDL-C of 5% or more, or a decrease in triglycerides of 30% or more, or a decrease in total cholesterol 20% or more, were considered clinically significant and included. These criteria for clinical significance were based on the findings of large lipid-intervention trials, where a change in lipid parameters was associated with a clinically beneficial effect on cardiovascular morbidity and mortality. Adverse effects: Adverse events of interest were muscle effects (myalgia, myositis, and myopathy), change in glycaemic control, an increase in liver enzymes greater than three times the upper limit of normal, an increase in creatine kinase greater than 10 times the upper limit of normal, and any increase in creatinine. RCTs, cohort and case control studies, and phase IV studies addressing the adverse effects of interest were included. We have performed a GRADE evaluation of the quality of evidence for interventions included in this review (see table ).
Table.
Important outcomes | Cardiovascular morbidity/mortality, changes in lipid profile, quality of life, adverse effects | ||||||||
Number of studies (participants) | Outcome | Comparison | Type of evidence | Quality | Consistency | Directness | Effect size | GRADE | Comment |
What are the effects of interventions for dyslipidaemia in people with diabetes? | |||||||||
5 (10,703) | Cardiovascular events (primary prevention) | Statins v placebo | 4 | 0 | 0 | –2 | 0 | Low | Directness points deducted for composite outcome and for not including diabetics exclusively |
7 (4672) | Cardiovascular events (secondary prevention) | Statins v placebo | 4 | 0 | 0 | –2 | 0 | Low | Directness points deducted for composite outcome and for not including diabetics exclusively |
3 (233) | Change in lipid profile | Simvastatin v placebo | 4 | –1 | +1 | 0 | 0 | High | Quality point deducted for incomplete reporting of results. Consistency point added for dose response |
1 (49) | Change in lipid profile | Pravastatin v placebo | 4 | –2 | 0 | 0 | 0 | Low | Quality points deducted for sparse data and incomplete reporting of results |
2 (5370) | Cardiovascular events | Atorvastatin v placebo | 4 | –1 | 0 | 0 | 0 | Moderate | Quality point deducted for subgroup analysis |
1 (217) | Change in lipid profile | Atorvastatin v placebo | 4 | –1 | 0 | 0 | 0 | Moderate | Quality point deducted for incomplete reporting of results |
2 (1354) | Change in lipid profile | Statin plus ezetimibe v statin alone | 4 | –1 | 0 | 0 | 0 | Moderate | Quality point deducted for sparse data |
1 (43) | Change in lipid profile | Statin plus fibrate v statin alone | 4 | –2 | 0 | 0 | 0 | Low | Quality points deducted for sparse data and for incomplete reporting of results |
1 (164) | Morbidity | Bezafibrate v placebo | 4 | –1 | 0 | –1 | 0 | Low | Quality point deducted for sparse data. Directness point deducted for assessing secondary outcomes |
1 (164) | Change in lipid profile | Bezafibrate v placebo | 4 | –2 | 0 | –1 | 0 | Very low | Quality point deducted for sparse data and for incomplete reporting of results. Directness point deducted for assessing lipid changes as a secondary outcome |
1 (769) | Cardiovascular events | Gemfibrozil v placebo | 4 | –1 | –1 | –1 | 0 | Very low | Quality point deducted for subgroup analysis. Consistency point deducted for conflicting results. Directness point deducted for inclusion of small number of people with diabetes |
2 (243) | Change in lipid profile | Gemfibrozil v placebo | 4 | –1 | 0 | 0 | 0 | Moderate | Quality point deducted for incomplete reporting of results |
1 (9795) | Cardiovascular events | Fenofibrate v placebo | 4 | 0 | 0 | –2 | 0 | Low | Directness points deducted for people in placebo group starting treatment with a statin and for composite outcome |
1 (683) | Change in lipid profile | Intensive multiple-intervention treatment programmes v standard care | 4 | –2 | 0 | –1 | 0 | Very low | Quality points deducted for blinding flaws and no placebo comparisons. Directness point deducted for uncertainty about intervention of benefit |
14 (725) | Change in lipid profile | Fish oils v control | 4 | –1 | 0 | –1 | 0 | Low | Quality point deducted for incomplete reporting of results. Directness point deducted for using different doses/formulations or range of compounds |
1 (146) | Change in lipid profile | Nicotinic acid v placebo | 4 | –2 | 0 | –1 | 0 | Very low | Quality points deducted for sparse data and incomplete reporting of results. Directness point deducted for inclusion of co-intervention |
Type of evidence: 4 = RCT; 2 = Observational; 1 = Non-analytical/expert opinion. Consistency: similarity of results across studies Directness: generalisability of population or outcomes Effect size: based on relative risk or odds ratio
Glossary
- High-quality evidence
Further research is very unlikely to change our confidence in the estimate of effect.
- Low-quality evidence
Further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
- Moderate-quality evidence
Further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
- Very low-quality evidence
Any estimate of effect is very uncertain.
Diabetic nephropathy
Diabetes: prevention of cardiovascular events
Disclaimer
The information contained in this publication is intended for medical professionals. Categories presented in Clinical Evidence indicate a judgement about the strength of the evidence available to our contributors prior to publication and the relevant importance of benefit and harms. We rely on our contributors to confirm the accuracy of the information presented and to adhere to describe accepted practices. Readers should be aware that professionals in the field may have different opinions. Because of this and regular advances in medical research we strongly recommend that readers' independently verify specified treatments and drugs including manufacturers' guidance. Also, the categories do not indicate whether a particular treatment is generally appropriate or whether it is suitable for a particular individual. Ultimately it is the readers' responsibility to make their own professional judgements, so to appropriately advise and treat their patients.To the fullest extent permitted by law, BMJ Publishing Group Limited and its editors are not responsible for any losses, injury or damage caused to any person or property (including under contract, by negligence, products liability or otherwise) whether they be direct or indirect, special, incidental or consequential, resulting from the application of the information in this publication.
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