CHAPTER 4 REDUCING CARDIOVASCULAR RISK
OVERVIEW
There is strong evidence to support the efficacy of modifying cardiovascular risk factors to prevent or delay the onset and development of cardiovascular disease (CVD). Whilst careful attention needs to be paid to the assessment and modification of individual risk factors, for any “high-risk” individual (which includes all people with type 2 diabetes), the greatest benefit will come from attacking aggressively all relevant risk factors, irrespective of the baseline, and not from an excessive focus on one factor to the possible exclusion of others: in other words, a broadly based approach. This approach is followed in the most recent guidelines from the Joint British Societies (Wood et al 2005) and the American Diabetes Association (ADA 2007). Readers may also find it useful to refer to a 2006 review by Marshall and Flyvbjerg published in the BMJ (Marshall & Flyvbjerg 2006).
UNDERSTANDING CARDIOVASCULAR RISK
DEFINITIONS
These concepts are relevant when quantifying and describing risk.
WHAT FACTORS ARE ASSOCIATED WITH CARDIOVASCULARRISK IN PATIENTS WITH DIABETES?
Cardiovascular risk factors can be divided into nonmodifiable and modifiable (see Table 4.1). Only modifiable factors can respond to intervention. However, some nonmodifiable risk factors are needed to calculate global cardiovascular risk and, if present, can serve as a prompt to help identify those individuals in whom this risk should be assessed and “tackled”, particularly in people normally considered to be at lower risk, such as those without diabetes.
Nonmodifiable risk factors | Modifiable risk factors |
---|---|
Age | Smoking status |
Gender | Raised blood pressure |
Ethnic group | Dyslipidaemia |
Family history | Lack of physical activity |
Poor diet | |
Obesity | |
Poor glycaemic control | |
Excess alcohol | |
Elevated fibrinogen | |
Cardiomyopathy | |
Raised inflammatory markers | |
Microalbuminuria | |
Hyperhomocysteinaemia |
Although individual risk factors may have an independent effect upon the global cardiovascular risk, their overall effect upon cardiovascular risk is often more than additive, with different risk factors combining “at times … to become permissive for harm or create harm greater than that effected by simple addition” (Simmons 2002). In 1993 the MRFIT study demonstrated that the greater than additive adverse effect of a collection of risk factors is especially marked in diabetes, where the increase in risk attributed to any single or combination of risk factors is doubled when compared to a nondiabetic population (Stamler et al 1993). There are still gaps in the evidence base. Matters become more complicated when evaluating the efficacy of various interventions.
CARDIOVASCULAR RISK MODELS
Risk prediction tables have been used in the UK since the mid 1990s. Initially for primary prevention, the Department of Health recommended a threshold of annual risk for a CHD event of 3%, now reduced to 1.5%, above which the prescription of expensive drugs could be justified. The latest Joint British Societies’ guidelines, consistent with the aim of preventing CVD events, have a threshold of annual risk for a CVD event of 2% (Wood et al 2005).
Many risk models have derived their data from the Framingham Heart Study. These models predict risk for CVD, CHD or stroke, either over a period of 5 or 10 years or annualised. The calculations included age, gender, smoking status, blood pressure (some include only systolic blood pressure), lipid profile (total cholesterol and high-density lipoprotein), the presence or absence of diabetes, and the presence or absence of left ventricular hypertrophy. Several other geographical and time-based cohorts have been used to generate risk models. Ideally, the risk calculator should be incorporated into the software being used during the consultation. A current favourite risk model is the updated New Zealand Calculator (derived from Framingham), as it incorporates decision support and can be used to inform patients of the effectiveness of modifying risk factors (New Zealand Guidelines Group 2003).
All of these models have several flaws, listed in Table 4.2, and any calculation using models derived from Framingham data or other population cohorts should be applied with caution. The main limitations are:
Applicable to both diabetic and nondiabetic populations | Applicable to a diabetic population |
---|---|
The use of shorter fixed time spans, as opposed to long-term or lifetime | Under-representation of diabetics in the study populations, leading to a smaller database upon which to base calculations of risk |
Annualised risk does not reflect the incremental increased incidence of CVD with age | While risk models regard diabetes as a categorical variable, they ignore the level of glycaemia, which is probably an important predictor of CVD and CHD in patients with type 2 diabetes (Turner et al 1998) |
Failure to include all the relevant risk factors contributing to cardiovascular risk | Failure to include important markers or factors associated with increased cardiovascular risk in diabetics, such as microalbuminuria and raised serum triglycerides |
The lack of valid data for certain ethnic groups | |
Failure to take into consideration the confounding effect of modern treatments | |
Different risk engines will give different risk predictions with the same data |
The UKPDS database was used to produce a diabetes-specific risk engine (Stevens et al 2001 – also available online: http://www.dtu.ox.ac.uk) to predict annual CHD risk (defined as fatal or nonfatal MI or sudden death). The calculation incorporates HbA1c, systolic blood pressure, TC:HDL-C ratio, age, sex, ethnic group, smoking status and time elapsed since diabetes was diagnosed. The engine can also report the different levels of risk for CHD, PVD and cerebrovascular disease. Unlike other databases, the UKPDS database is based upon an interventional study.
However, the UKPDS database and risk engine do have the following drawbacks:
RAISED BLOOD PRESSURE
RATIONALE
The presence of both raised blood pressure and diabetes mellitus in the same individual is a synergistic and potentially deadly combination. There is strong evidence to demonstrate that raised arterial pressure is a significant, and potentially treatable, contributor to the development of major diabetes complications, both microvascular (nephropathy, retinopathy) and macrovascular (CHD, major stroke). Much of this evidence comes from several large trials involving type 2 diabetics, starting with the UKPDS (Stratton et al 2000). Lowering blood pressure in type 2 diabetics reduces the risk of deaths and complications related to diabetes (UKPDS 1998a).
Raised blood pressure is more prevalent in the type 2 diabetic population than in the general population (SIGN 1997). At a cellular level, hypertension is associated with increased sodium retention and increased pressor responsiveness in diabetics compared to nondiabetics (Dawson et al 1993). In adult diabetics, other atherogenic risk factors (dyslipidaemia, elevated fibrinogen and left ventricular hypertrophy) are also more prevalent.
TARGETS
Neither research evidence nor expert consensus has found a level of blood pressure below which treatment does not confer benefit. The target blood pressure levels currently recommended by several learned bodies, summarised in Table 4.3, do not concur, but the overall trend has been downwards over recent years. If target organ damage is present, interventions should aim to achieve and maintain even lower target blood pressure levels. However, less strict targets may be appropriate in elderly or seriously ill patients with limited life expectancy.
Blood pressure target (mmHg) | Learned body/organisation | Date published |
---|---|---|
145/85 | New GP Contract | 2003, reviewed 2006 |
140/90 | NICE (North of England 2004) | August 2004 |
140/90 | NICE (NICE 2006a) | June 2006 |
140/80 | SIGN (SIGN 2001) | November 2001 |
140/80 | National Clinical Guidelines for Type 2 Diabetes (Hutchinson et al 2002) | October 2002 |
140/80 | UKPDS 36 (Adler et al 2000) | 2000 |
130/80 (optimal) | British Hypertension Society Guidelines | 2004 |
140/80 (acceptable) | BHS-IV (Williams 2004) | |
130/80 | American Diabetes Association (ADA 2007) | January 2006 |
130/80 | JBS 2 (Wood et al 2005) | December 2005 |
EVALUATION
Measurement of blood pressure
However, routine use of automated ambulatory blood pressure monitoring or home monitoring devices in primary care is not currently recommended by NICE (NICE 2006a): further research is needed to determine their precise role.
A variety of automated sphygmomanometers are now available. Before purchasing any model, the buyer is advised to enquire whether the device has passed independent validation using the protocols of the British Hypertension Society (BHS) and the Association for the Advancement of Medical Instrumentation Standard (AAMI) (O’Brien et al 2001). Additional useful advice may be available from the local hospital’s medical physics department. Further independent evaluation of the available blood pressure measuring devices is being undertaken and may be published at some point in the future.
Due to pressures of time and less than ideal ergonomics, many health professionals do not invariably measure a patient’s blood pressure correctly. Detailed authoritative guidance on how it should be done is given in Table 4.4, a counsel of perfection. To minimise inaccuracies, some key points to remember when measuring blood pressure include:
Blood pressure measurement: procedure |
---|
Measure sitting blood pressure routinely: standing blood pressure should be recorded at least once at the initial estimation |
Try to standardise the procedure: |
(from North of England 2004, O’Brien et al 2003, British Hypertension Society website)
INTERVENTIONS: OVERVIEW
The main aims here are to reduce the overall cardiovascular risk and prevent diabetes complications.
When is treatment indicated?
A single measurement is rarely sufficient to ascertain an individual’s “true” blood pressure level and, thus, to justify a decision on whether to treat. Repeated measurements need to be taken over a length of time (the 2006 NICE guidelines recommend at least two further separate readings). The duration of observation prior to a treatment decision depends upon how elevated the measurements are, and if target organ damage and/or any other vascular risk factors are present. If the measurements are elevated only slightly and there is no target organ damage in a “low-risk” individual, it is reasonable to observe over several months. If the measurements are elevated markedly or target organ damage is present in a “higher-risk” individual, a briefer duration of observation with earlier intervention is indicated.
INTERVENTIONS: PHARMACOLOGICAL METHODS
In support of the Diabetes NSF, the National Clinical Guidelines for type 2 diabetes published its recommendations for the pharmacological management of raised blood pressure in 2002 (Hutchinson et al 2002). However, these have been superseded by the 2006 guidelines from NICE (NICE 2006a), and the 2005 JBS 2 guidance on the prevention of CVD. The Quality and Outcomes Framework of the GMS contract sets a unified threshold for intervention and target (see Appendix 3).
Drug classes for the treatment of raised blood pressure
Although some of the supporting evidence came from trials comparing treatments against placebo, more data are now available comparing different effective treatments or combinations. An overview of this evidence is found in Table 4.5. The trials cited below are referred to by their acronyms, with their full names given in Appendix 5. The indications, cautions and contraindications for the major classes of antihypertensive drugs are summarised in Table 4.6.
Further details of the names and dosages of different blood-pressure-lowering agents are given in Appendix 1 and in the BNF Section 2.
Angiotensin converting enzyme (ACE) inhibitors
Angiotensin-II has other actions that are thought to be harmful to the cardiovascular system, contributing to the pathogenesis of large and small vessel structural changes in hypertension and other CVD (Luft 2001). ACE inhibitors also suppress aldosterone secretion, increase renal blood flow (producing natriuresis) and increase circulating levels of bradykinin, a vasodilating cytokine which can cause cough. ACE inhibitors have little effect upon heart rate or airways resistance. ACE inhibitors have no adverse effects upon lipid metabolism or glucose tolerance, but there have been reports that they may be less effective in Afro-Caribbean patients. Drugs in this class have generic names ending in “-pril”. They include captopril, cilazapril, enalapril, fosinopril, imidapril, lisinopril, moexipril, perindopril, quinapril, quinopril, ramipril and trandolapril.
The ABCD (Estacio et al 1998) and FACET (Tatti et al 1998) studies found ACE inhibitors to be superior to dihydropyridine calcium channel blockers in preventing cardiovascular events in type 2 diabetics. ACE inhibitors have been shown to improve cardiovascular outcomes in high cardiovascular risk patients with diabetes, independently of whether hypertension was present (HOPE 2000, PROGRESS 2001). In the ASCOT study, the treatment group, in which the ACE inhibitor perindopril was the add-in drug, achieved lower blood pressures, had fewer CVAs and total CVD events, and lower all-cause mortality (Dahlöf et al 2005). Some of these differences could be attributed to the lower blood pressure levels achieved and improvements in other cardiovascular risk factors in this group. ASCOT was stopped early due to differences in mortality between the two treatment groups: as a result, it lacked sufficient power to detect a statistically significant difference between the groups for the primary endpoint (nonfatal MI or CHD death).
Angiotensin II receptor blockers (ARB)
Drugs in this class have generic names ending in “-sartan”. Currently available are candesartan, eprosartan, irbesartan, losartan, olmesartan, telmisartan and valsartan. Cautions and contraindications are the same as for ACE inhibitors. Both ACE inhibitors and ARB conserve renal function in diabetic nephropathy and are beneficial in heart failure.
In the LIFE study, an ARB was superior to a β-blocker in improving CVD outcomes in a subset of patients with diabetes, hypertension and left ventricular hypertrophy (Dählof et al 2002, Lindholm et al 2002). In the CHARM study, candesartan improved cardiovascular outcomes against placebo (Pfeffer et al 2003). The candesartan and lisinopril microalbuminuria (CALM) study (Mogensen et al 2000) suggested that the combination of the ACE inhibitor lisinopril with the ARB candesartan may be more effective in reducing blood pressure and urinary albumin excretion than the individual drugs in type 2 diabetics (although the study dose of lisinopril was only half the maximal dose).