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The New Zealand Medical Journal

 Journal of the New Zealand Medical Association, 07-November-2003, Vol 116 No 1185

Secondary prevention in coronary artery disease patients in South Auckland: moving targets and the current treatment gap
Seifeddin El-Jack and Andrew Kerr
Abstract
Aim To assess secondary prevention parameters in patients with coronary artery disease (CAD) and correlate them with evolving treatment targets.
Methods We audited baseline and current secondary prevention parameters in consecutive patients with established CAD who were identified retrospectively after an acute coronary syndrome (n = 48), recent coronary artery bypass grafting (CABG, n = 50), or remote CABG (n = 49).
Results Statins were used by 71% of the whole group and 80% of those whose total cholesterol (TC) levels exceeded the contemporaneous PHARMAC cut-off point for statin funding. Thirty seven per cent failed to achieve the New Zealand Heart Foundation (NZHF) target TC of 3–5 mmol/l current at the time, and 55% exceeded the National Cholesterol Education Programme and 2002 NZHF Interim Consensus Statement target of low density lipoprotein (LDL) <2.6 mmol/l. Forty one per cent had a blood pressure (BP) of >140/90 mmHg, 12% were smokers and 7% not on aspirin. A minority of patients were on ACE inhibitors (34%) and beta blockers (45%). Only 30% were non-smokers, on aspirin and met TC and BP targets.
Conclusions Risk-factor management is sub-optimal in a significant percentage of secondary prevention patients. Improved statin availability in New Zealand subsequent to this audit creates the opportunity to reduce the treatment gap.

A wealth of clinical-trial and epidemiological data supports the utility of lifestyle modification, smoking cessation, anti-hypertensive and lipid-lowering therapy, anti-platelet therapy and beta blockade in secondary prevention of coronary artery disease (CAD).1–4 Disappointingly, international and local studies have demonstrated a significant disparity between ideal secondary prevention and the clinical reality.5–12 The reasons for this ‘treatment gap’ are multifactorial. The 1996 New Zealand Heart Foundation (NZHF) Guidelines,13 current at the time of this audit, recommended that lipid-lowering strategies are instigated in patients with proven CAD and total cholesterol (TC) ≥5.5 mmol/l, aiming for target TC of 3–5 mmol/l. In December 1998 the New Zealand Government’s pharmaceutical watchdog, PHARMAC, adopted this level as a cut-off point for funding statins. Following revascularisation (coronary artery bypass grafting (CABG) or percutaneous coronary intervention), the cut-off point for funding therapy was TC ≥4.5 mmol/l. More recently, the European Societies Guidelines proposed a target low-density lipoprotein (LDL) <3 mmol/l,14 and the National Cholesterol Education Programme Adult Treatment Panels II15 and III16 (NCEP-ATPII and III) a target LDL <2.6 mmol/l (100 mg/dl).
From early 2002 PHARMAC no longer required a special authority for prescription of the statin simvastatin, making it more widely available. In mid 2002 the landmark Heart Protection Study was published, which provided evidence for benefit from statin use in patients with CAD regardless of baseline cholesterol levels.17 We are now in an environment where we have a substantial treatment gap, resulting from a change in the evidence base, together with the opportunity to close that gap due to a change in PHARMAC policy.
In 2001 we audited lipid, blood pressure (BP) status, anti-platelet therapy and smoking status in patients with prior CABG or recent myocardial infarction (troponin-positive acute coronary syndrome). The aims of this audit were to:
  • assess the treatment gap against the contemporaneous treatment targets;
  • compare the secondary prevention management in patients who had CABG in 1994, prior to the current lipid guidelines, with more recent cases of CABG;
  • compare lipid management in patients with and without cardiac intervention, who had different PHARMAC eligibility criteria for statins.
We also have the opportunity to estimate how many additional patients should now be considered for statin therapy because of the Heart Protection Study results and the change in prescribing limitations for statins.

Methods

Data were collected between May and July 2001 for the retrospective study of three groups of patients. The first group were consecutive patients who had myocardial infarction (MI) in 1999 who did not subsequently have coronary intervention, and therefore required a total cholesterol ≥5.5 mmol/l to receive a funded statin (recent MI group). The choice of this temporal cohort was to allow time for risk-factor modification to have been achieved at the time of data collection. The second group were consecutive patients who had CABG surgery in the year 1999 (recent CABG). The third group were consecutive patients who had CABG in the year 1994 (remote CABG). The latter were chosen as at that time the recommendations of the 4S trial were not yet fully implemented.1
The recent MI patients were identified from Middlemore Hospital Coronary Care Unit records, and patients in the other two groups from the Green Lane Hospital Cardiothoracic Department registry. Data were obtained from patient records and by contacting general practitioners.
Consecutive patients were screened to obtain 50 patients in each group. Patients were excluded for the following reasons: death (n = 13), and loss to follow up or significantly incomplete records (n = 30). After entry into the audit, two patients in the recent MI group were found to be deceased and one patient in the remote CABG group moved overseas. They were excluded from analysis. Therefore, 147 patients were audited.
For each patient the following data were obtained: updated lipid profiles (within 12 months), last recorded blood pressure, anti-platelet therapy, and smoking status. In addition, the lipid profiles at the time of the index event (MI or CABG) were obtained together with HbA1c in known diabetics, and current use of angiotensin-converting enzyme inhibitors (ACEI) and/or beta-blocker therapy. Left ventricular (LV) function was noted (LV ejection fraction (LVEF) <50% was considered impaired).
Descriptive data are expressed as mean ± standard deviation. Samples were compared using chi-square testing. Differences were considered statistically significant for p <0.05.

Results

The clinical characteristics of the 147 patients are summarised in Table 1.

Table 1. Patient characteristics at baseline


Recent MI
(n = 48)
Recent CABG
(n = 50)
Remote CABG
(n = 49)
Age (years, ± SD)
59.9 ± 10.9
66.2 ± 10.1
68.7 ± 11.0
Gender (% male)
83
64
69
Ethnicity (%)
Caucasian
Maori
Polynesian
Asian
Indian
Other

73
15
0
4
4
4

82
8
8
2
0
0

84
8
8
0
0
0
Diabetes (%)
19
32
20
Hypertension (%)
54
60
55
Smoking (current) (%)
Unknown
21
0
10
2
4
2
LV function (%)
Normal
Impaired
Unknown

46
19
35

64
20
16

67
6
27

Lipid data Baseline lipid profiles were available in 139 patients (95%). Fasting levels were available in only 42 out of 147 patients (29%). Current lipid data were available in all patients. Of these, 113 had levels documented as fasting results. Of the remaining 34 patients, 28 were on statins of whom 16 had an LDL <2.6 mmol/l. Of those not on a statin the mean LDL (± SD) was 2.5 (± 0.2) mmol/l, which is lower than for patients with fasting data (2.8 ± 0.9 mmol/l). Thus, the failure to obtain fasting data in these patients did not appear to systematically bias the results in the direction of poorer control. For the purpose of this audit, TC and LDL data were analysed as a mix of fasting and non-fasting levels. Only fasting triglyceride levels are reported.
Table 2 shows the group and overall lipid data at baseline and currently. There is no significant difference in the current lipid fractions between any of the groups. Twenty nine per cent of our study population were not on a statin medication. Seventeen patients (12% of the whole group) not on a statin did not meet the contemporaneous PHARMAC cut-off point. Twenty per cent of those whose TC exceeded the PHARMAC cut-off point were not on therapy. Forty per cent of those with LDL over the NCEP target of 2.6 mmol/l and 36% of those over the contemporaneous NZHF target TC of 3–5mmol/l were not on a statin (Table 3). Conversely, there are many patients who do not meet target lipid levels despite being on a statin. This is dependent on the target set. For example, of 77 patients (55%) who do not meet the NCEP target LDL of <2.6 mmol/l, 46 (60%) are already on a statin.

Table 2. Mean lipid fractions (mmol/l) both at baseline and currently, and current use of lipid-lowering therapy


Recent MI
(n = 48)
Recent CABG
(n = 50)
Remote CABG
(n = 49)
All patients
TC at baseline ± SD
5.9 ± 1.4
5.7 ± 1.2
6.4 ± 1.2
6.0 ± 1.3
Current levels ± SD
TC
LDL
HDL
TG

5.0 ± 0.9
2.9 ± 0.8
1.2 ± 0.3
1.9 ± 1.3

4.7 ± 0.7
2.6 ± 0.6
1.3 ± 0.3
1.7 ± 1.0

4.9 ± 1.1
2.8 ± 1.0
1.3 ± 0.3
1.9 ± 1.0

4.9 ± 0.9
2.8 ± 0.8
1.3 ± 0.3
1.8 ± 1.1
Number on a statin (%)
32 (67)
41 (82)
32 (65)
105 (71)
Number on fibrate (%)
3 (6)
2 (4)
3 (6)
8 ( 5)
TC = total cholesterol; LDL = low-density lipoprotein; HDL = high-density lipoprotein; TG = triglycerides

Table 3. The percentage of patients not achieving defined guideline targets (mmol/l) and their use of statins


TC >5
TC ≥4
LDL ≥2.6
LDL ≥3
HDL ≤1
TG >2
All patients (%)
Patients on statin (%)
37
64
87
71
55
60
31
50
26
66
35
82
TC = total cholesterol; LDL = low-density lipoprotein; HDL = high-density lipoprotein; TG = triglycerides

Attainment of lipid targets (Table 4) As expected, the more rigorous targets are met by fewer patients. Whilst 69% met the European Cardiac Society LDL target of <3.0 mmol/L, only 45% meet the more rigorous NCEP target of <2.6 mmol/l and only 13% meet the TC target of <4 mmol/l from the NZHF 2002 Interim Consensus Statement for the Management of Dyslipidaemia.18

Table 4. Patients meeting risk-factor targets

Target
Recent MI
%
(n = 48)
Recent CABG
%
(n = 50)
Remote CABG
%
(n = 49)
All
%
(n = 147)
TC ≤5.0
TC <4.0
LDL <2.6
LDL <3
HDL >1
TG <2
53
13
27
60
68
73
70
10
55
79
76
66
70
17
53
68
76
67
63
13
45
69
74
69
Non-smoking
BP <140/90
79
69
90
56
96
53
88
59
TC = total cholesterol; LDL = low-density lipoprotein; HDL = high-density lipoprotein; TG = triglycerides
NB: lipid targets in mmol/l; fasting TG levels available in 111 patients

CABG patients were more likely to attain a TC ≤5 mmol/l and LDL <2.6 mmol/l than those who had MI without revascularisation (p = 0.052 and 0.005 for TC and LDL respectively). The overall use of statins, however, was not significantly different between the two groups (p = 0.374)
Other secondary prevention factors Eighty eight per cent of the overall group were currently non-smokers; however, 23% of the recent MI group were continuing to smoke. This was a higher rate than for CABG patients (p = 0.014).
Mean BP (± SD) for the whole group was 135/78 (± 16/9) mmHg. The target BP of 140/90 was not met in 41% of patients. There was no significant difference between CABG and MI patients (p = 0.100).
Data on HbA1c were available in 28 of 35 diabetic patients (80%). The mean HbA1c (± SD) was 7.5% (± 1.5) and 61% of patients had a sub-optimal HbA1c level above 7%.
Data regarding anti-platelet and ACEI usage were available in all patients and in 146 patients for beta blockers. Ninety three per cent were on aspirin (of the 10 patients not on aspirin, one was on warfarin and another had experienced a previous haemorrhagic stroke), 34% on an ACEI and 45% on a beta blocker. Beta blockers were used more frequently in MI patients than those who had CABG (p = 0.008). There was no significant difference in the use of ACEI (p = 0.267). In patients with LV impairment (23 out of 104 patients with documented LV function) only 70% were on ACEI and 43% on beta blockers.
All targets met The AHA/ACC set secondary prevention targets, which include LDL <2.6 mmol/l, BP <140/90 and a mandatory anti-platelet agent and non-smoking.19 Of the 140 patients for whom all these data were available, only 31 (22%) met all targets. This analysis excludes other possible targets including other lipid fractions, HbA1c, ACEI and beta-blocker use, and weight reduction, which if included would reduce this figure further. Using the contemporaneous NZHF target TC of 3–5 mmol/l, only 44 patients (30%) met all targets.

Discussion

In this group of patients with known coronary artery disease, 55% had an LDL cholesterol ≥2.6 mmol/l, 37% a TC >5 mmol/l, 41% had BP >140/90 mmHg, 12% still smoked and 7% were not on anti-platelet therapy. Only 30% of patients (44/147) met all secondary prevention targets at the time the audit was conducted. There is a formidable gap between ideal management of risk factors for cardiovascular disease and the clinical reality. The reasons for this treatment gap are clearly multifactorial and include patient, doctor, cultural and organisational/government factors. Similar results were reported in recent European and North American studies looking at secondary prevention profiles.7–12
A relatively high percentage (71%) of the whole group were on a statin. Thirteen patients from the recent MI group (27%) whose total cholesterol levels exceeded the PHARMAC cut-off point are now eligible for treatment on the NZHF 2002 Interim Consensus Statement for the Management of Dyslipidaemia. The recent Heart Protection Study results suggest that all patients included in this audit would benefit from statin treatment. With the recent liberalisation of statin availability in NZ this is an important gap that can be closed. Of concern, we found that some patients were not on a statin despite appearing to meet PHARMAC cut-off points. A further problem is the number of patients who do not achieve target lipid profiles despite being on a statin, suggesting that they may benefit from more aggressive pharmacological and lifestyle intervention.
Only 34% of patients were taking an ACEI. The recent HOPE study suggests that most if not all these patients would benefit from an ACEI.20 This and the modest use of beta blockers are other important treatment gaps to be closed.
These results may not be representative of our general population with CAD, as two thirds of our study group were CABG patients and therefore statin use and other secondary prevention could be better than in the non-intervention population. Although not all reaching statistical significance, the data suggest this. For instance, 82% of the recent CABG patients were on statins as opposed to 67% of the recent MI patients. Furthermore, 87% of patients in the recent CABG group with a TC ≥5mmol/l were on statins compared with 54% of the patients in the recent MI group with the same TC.
Also risk-factor modification seems to be more effective in the CABG groups, with a TC ≤5 mmol/l achieved in 70% compared with 53% in the non-interventional group (p = 0.052). An LDL <2.6 mmol/l was achieved in 54% of CABG patients but only 27% of the recent MI patients (p = 0.005). This may result from the more lenient PHARMAC statin eligibility criteria for CABG patients prevailing at that time, but other unmeasured factors such as differential compliance with lifestyle management may explain the difference. This is suggested by the finding that smoking was less common in CABG patients than those with MI (93% versus 79%, p = 0.014).
We found that the risk-factor management of patients who had their CABG operations in 1994 was similar to more recent patients. These patients were operated on before the 4S trial, which made statin use mandatory in many of them.1 This may partly reflect survivor bias but suggests that these patients’ GPs are modifying treatment appropriately as evidence changes.
This study also illustrates an important problem in measuring the treatment gap: deciding on appropriate targets. It is relatively easy to set a target for binary risk factors such as smoking; it is much harder to set a target for lipid levels or blood pressure where there are few data to support a particular target level. For instance in the Heart Protection Study, patients with baseline LDL cholesterol of <2.6 mmol/l, the NCEP target, benefited from addition of a statin. This leads to inconsistency in target setting with major implications when the treatment gap is being assessed. For example, in this audit 63% reached the 1996 NZHF target TC of ≤5.0 mmol/l, 69% reached the European Cardiac Society target LDL of <3.0 mmol/l, 45% reached the NCEP target of <2.6 mmol/l and only 13% reached the recent NZ consensus target TC of <4.0 mmol/l.
Improved strategies to improve risk-factor management in these patients are needed. These include using information technology to disseminate patient-specific, guideline-based treatment recommendations across primary and secondary care, and specifically funding GPs to more actively manage patients whose risk factors are sub-optimally controlled.
In this retrospective analysis some patients were not included due to death, incomplete records or other loss to follow up. This was most frequent in the early CABG group and it is likely that the treatment gap is even greater in those lost to follow up. The resulting survivor bias may have led to an overestimation of the adequacy of secondary prevention in this group. The study is underpowered to conclusively show a difference in secondary prevention between early and late CABG groups, and the MI and CABG groups, respectively.
In summary, risk-factor management is sub-optimal in a significant proportion of secondary prevention patients. The treatment gap may be greater in those with CAD who have not had a cardiac intervention. Improved strategies to improve risk-factor management in these patients are needed.
Author information: Seifeddin El-Jack, Cardiology Registrar; Andrew Kerr, Cardiologist, Cardiology Department, Middlemore Hospital, Auckland
Acknowledgements: This audit was funded by a research grant from MSD New Zealand and the Cardiology Research Fund at Middlemore Hospital.
Correspondence: Dr Andrew Kerr , Middlemore Hospital, P O Box 93311, Otahuhu, South Auckland. Fax: (09) 250 0259; andrewkerr@middlemore.co.nz
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