OBJECTIVE To examine mortality and myocardial infarction five years after coronary artery bypass graft (CABG) surgery and the association with different lipid fractions and haemostatic, glycaemic, and demographic risk factors.
SETTING A regional cardiothoracic centre, Freeman Hospital, and the University Clinical Investigation Unit, Royal Victoria Infirmary, Newcastle upon Tyne, UK.
DESIGN 353 consecutive patients (297 male, mean age 57.2 years) undergoing first time CABG for stable angina were recruited to a prospective cohort study and studied to five years.
MAIN OUTCOME MEASURES All cause mortality, late cardiac mortality (beyond 30 days) alone and in combination with non-fatal myocardial infarction. Risk factor assessments before operation and 3, 6, 12, 24, and 60 months after surgery. For each laboratory variable a weighted mean for the period of exposure was calculated from the concentration at each time interval and the time between measurements. The distribution was divided into tertiles.
RESULTS 41 patients died (16 late cardiac deaths) and eight had a myocardial infarct. An adverse outcome occurred more frequently in the lower tertile of weighted apolipoprotein AI compared with the upper tertile. An adverse outcome was also more common in patients in the upper tertile of weighted total white blood cell count and less consistently so in patients in the upper tertile of the haemostatic covariates, factor VIIc and factor VIIIc. There was no association with other lipid fractions except for total mortality and apolipoprotein B (owing to low levels in five patients with carcinoma).
CONCLUSIONS Low apolipoprotein AI concentrations, but no other markers of an adverse lipid profile, were associated with mortality and myocardial infarction five years after CABG. Apolipoprotein AI is associated with paraoxonase, an enzyme located on high density lipoprotein, which may limit the oxidation of low density lipoprotein. An association between outcome and other covariates such as white cell count provides a credible pointer to inflammation mediating a component of cardiovascular risk.
- coronary artery bypass graft surgery
- myocardial infarction
- apolipoprotein AI
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It is now widely accepted that serum lipids are important in the development and progression of coronary artery disease. However, there is less agreement over which of the different lipid fractions and apolipoproteins best discriminate the patients at most risk. Serum high density lipoprotein (HDL) cholesterol concentration has been found to be inversely correlated with the development and progression of coronary artery disease.1 ,2 Apolipoprotein AI is a major lipoprotein in HDL cholesterol and its serum concentration discriminates patients with the highest coronary risk,3 ,4although it may not be more predictive than serum HDL cholesterol.5 HDL removes excess cholesterol from peripheral tissues and transports it to the liver. However, more recent attention has focused on its role in reducing the oxidative modification of low density lipoprotein (LDL) and thus protecting against atherosclerosis. Recent evidence suggests that these effects are due to paraoxonase,6 an enzyme located on HDL and closely associated with apolipoprotein AI.7 Expression of apolipoprotein AII instead of apolipoprotein AI in transgenic mice is associated with a decreased content of paraoxonase and a loss of the antioxidant properties of HDL.8
HDL cholesterol and apolipoprotein AI concentrations have been less well studied in patients after coronary artery bypass graft surgery than in patients without surgery, although it is generally acknowledged that an adverse lipid profile is associated with a worse outcome after surgery.9-11 We designed a study to examine the outcome of unselected patients after coronary artery bypass graft surgery and to evaluate the association between risk factors and outcome. We studied 353 consecutive patients five years after elective surgery performed at a single surgical centre, and in this paper we report mortality and non-fatal myocardial infarction and the association with different lipid fractions, and other haemostatic, glycaemic, and demographic risk factors.
The study population has been described before.12 ,13Briefly, during the period 25 October 1988 to 4 December 1989, 367 consecutive patients were admitted for elective, first time coronary artery bypass graft surgery to the Freeman Hospital. Surgery was performed for chronic stable angina or after unstable angina had settled. Fourteen patients were excluded: eight lived outside the former Northern region, three had simultaneous valve surgery, and three refused to participate. Thus 353 patients (297 male, 56 female) consented and were recruited to this prospective study. The protocol for the study to five years was approved by the Newcastle joint ethics committee.
Five years after coronary artery bypass graft surgery, survival status was established for all patients. The date and cause of death was obtained from a review of hospital notes, necropsy reports, death certificates, and general practitioners. Sudden death was defined as a death occurring without previous symptoms or within one hour of the onset of new cardiac symptoms.14 An unwitnessed death was included in this group if the patient had been free of new symptoms for up to 24 hours before being found dead.
CLINICAL STATUS AND RISK FACTOR ASSESSMENT
Patients were seen preoperatively, and three, six, 12, 24, and 60 months after surgery. Clinical status was evaluated. Hospital admissions were corroborated from the notes. Preoperative hypertension was defined when the patient was previously diagnosed as hypertensive, whether treated or not, and in any patients in whom the systolic blood pressure was higher than 160 mm Hg or diastolic blood pressure higher than 90 mm Hg, measured after 10 minutes of rest. A significant family history of premature coronary disease was defined as any first degree relative with ischaemic heart disease aged 55 years or less.
Blood samples were obtained during each visit from patients after a 12 hour overnight fast. Total cholesterol, triglyceride, apolipoprotein AI, and apolipoprotein B concentrations were determined from serum samples and insulin concentration from stored serum samples. HDL cholesterol concentration was measured in EDTA/plasma and plasma glucose concentration from fluoride oxalate samples. Lp(a) lipoprotein concentration was determined from stored serum samples. Haemostatic factors included fibrinogen concentration, factor VII coagulant activity (FVIIc), and factor VIII coagulant activity (FVIIIc), and were determined from stored citrated plasma samples. Haemoglobin concentration, total white blood cell count, and platelet count were determined from EDTA samples.
Venous plasma glucose concentration was measured with a glucose analyser (Yellow Springs Instruments, Ohio, USA). An aqueous phase glucose standard (10 mmol/l) and three reference samples were used for quality assurance.
Serum insulin was measured by a standard radioimmunoassay15 (interassay coefficient of variation (cv), 1.7% to 7.5%).
Standard enzymatic methods were used to measure serum cholesterol (cholesterol oxidase, interassay cv, 1.3% to 2.1%) and triglycerides (lipase-glycerol kinase; interassay cv, 2.7% to 9.4%). HDL cholesterol was measured after precipitation of apolipoprotein B containing lipoproteins with heparin and manganese or with phosphotungstate and magnesium, and assayed by the cholesterol oxidase method (interassay cv, 8.8% to 14.6%). Values obtained with the phosphotungstate and magnesium method were adjusted to be equivalent to those obtained with the heparin and manganese method using the following regression equation: (phosphotungstate and magnesium method) = 0.99 × (heparin and manganese method) − 0.07. LDL cholesterol was calculated from the Friedewald equation.16
Apolipoprotein AI and apolipoprotein B were measured with a rate immunonephelometric assay (Technicon DPA, Technicon Instruments, Basingstoke, UK; interassay cv, 4.9% to 7.3%).
Lp(a) lipoprotein was measured by an enzyme linked immunosorbent assay (elisa, Biopool, Umea, Sweden; interassay cv, 3% to 8%).
Full blood counts were performed using a Coulter counter (Coulter STKS; interassay cv, haemoglobin 0.6% to 0.8%, white blood cell count 1.0% to 1.7%, platelet count 1.6% to 3.3%).
Fibrinogen concentration was measured from a derived fibrinogen method based on prothrombin time using IL-PT-HS plus thromboplastin (ACL Futura, Instrumentation Laboratory, Milan, Italy). Two reference samples of low and medium concentration were used for quality assurance. FVIIc was measured using a one stage clotting assay based on prothrombin time using IL-PT-HS plus thromboplastin; FVIIIc was measured using a one stage clotting assay based on activated partial thromboplastin time using IL-lyophilised silica (ACL Futura, Instrumentation Laboratory). Factor VIIc and factor VIIIc were expressed as percentages of reference plasma calibrated against a standard for factor VIIc and factor VIIIc, respectively.
DATA HANDLING AND STATISTICAL ANALYSIS
Data manipulation and analyses was performed using two statistical packages, Statview (Abacus Concepts, Berkeley, California, USA) and STATA 3.1 (STATA Corporation, College Station, Texas, USA).
Categorical variables were expressed as the number (%) and continuous variables as the mean (SD) if distributed normally; otherwise as the median (interquartile range).
Age was categorised into 10 year age groups for analysis. Laboratory variables and body mass index were measured before surgery and at the stated intervals afterwards. For each laboratory variable the mean of measurements made at two consecutive time points was related to the duration of time between those points and thus, using all the consecutive measurements, an overall weighted mean for the time period was obtained.
For example, weighted mean total cholesterol = [(3×(a+b)/2) + (3×(b+c)/2) + (6×(c+d)/2) + (12×(d+e)/2) + (36×(e+f)/2]/60 where a, b, c, d, e, and f are the total cholesterol concentration before surgery and 3, 6, 12, 24, and 60 months after surgery.
If patients died, weighted means were calculated for the duration of time until death. If patients alive after five years had missing measurements, a weighted mean was calculated from those measurements available for that time period. The distribution of some weighted means was highly skewed and therefore all weighted means were categorised into tertiles.
The potential covariates for outcome are shown in table 1. Most categorical covariates with the exception of smoking status were binary variables and two binary covariates were created to identify smoking status. One identified patients as ex-smokers or otherwise, and the other as current smokers or otherwise. A person who had never smoked would be thus be coded zero in both.
Clinical event-free survival was estimated with life table methods. Patients undergoing repeat cardiac surgery were censored at the time of the second operation. The log-rank test and the log-rank test for trend were used to compare survival probabilities and the appropriate χ2 statistic produced. Deaths within 30 days of surgery were treated as censored in the analysis of late cardiac death and major events. Hazard ratios are referred to as the relative risk with appropriate 95% confidence intervals (CI). For covariates analysed in tertiles, the relative risk is that of the third tertile compared with the first. Using the Cox proportional hazards model, a forward selection procedure evaluated the independent influence of covariates on total mortality and late major cardiac events. To avoid including different lipid variables which are clearly interdependent, two possible models were examined in multivariate analysis. Model 1 included non-HDL cholesterol, HDL cholesterol, and triglycerides, but not apolipoprotein AI and apolipoprotein B. Model 2 included apolipoprotein AI and apolipoprotein B, but not non-HDL cholesterol, HDL cholesterol, and triglycerides. The remaining covariates were considered in both models. Total cholesterol, LDL cholesterol, and the ratio of total cholesterol to HDL cholesterol were also examined in univariate analysis. Where there were missing data (never more than 10%), the analysis was performed on the population sample excluding missing values. An α level of 5% was taken as significant.
PATIENT CHARACTERISTICS BEFORE OPERATION AND OPERATION DETAILS
The preoperative clinical and angiographic characteristics of the 353 patients studied are summarised in tables 2 and 3. There were 297 male patients and 56 female. Mean (SD) age at the time of surgery was 57.2 (7.3) years. Thirty eight per cent of the patients had hypertension and 6% diabetes. More than 60% had a history of preoperative myocardial infarction and 5% a history of heart failure. Ninety eight per cent reported recent angina, 73% with severe (grade III or IV) symptoms.
More than one quarter had three vessel disease and 13% left main stem disease. Left ventricular function, assessed in the 30° right anterior oblique projection, was normal in 41% patients, 29% patients had only hypokinetic segments, while in 29% akinetic or dyskinetic segments were also present.
A left internal mammary artery (LIMA) conduit was used in 75% of patients, and in only 6% patients were internal mammary artery grafts the only conduits used.
The mortality status is known for all patients. Forty one patients died within five years of surgery and three had further cardiac surgery, one undergoing cardiac transplantation 45 months after initial grafting and two undergoing redo coronary artery bypass surgery at nine and 51 months after initial surgery, respectively. The actuarial survival of patients without further cardiac surgery 60 months after surgery was 87%.
Mortality beyond 30 days
Twenty seven patients died between 30 days and 60 months after surgery. Sixteen of these deaths were cardiac deaths, of which 10 were sudden and five were caused by acute myocardial infarction. One death was unwitnessed in a patient who had a recent episode of unstable angina. Eleven patients died from non-cardiac causes: seven from malignant disease, three from vascular pathology, and one (an immunosuppressed patient) from infection.
NON-FATAL MYOCARDIAL INFARCTION
During the five years since coronary artery bypass surgery, seven survivors were admitted with a non-fatal myocardial infarct. One of these patients had been admitted twice and one three times with acute infarction. Of the 44 patients who had died or required further surgery, only one had a non-fatal infarct, which occurred 12 months before death. Hence overall, eight patients suffered at least one postoperative non-fatal infarct, and 98% of them survived free from an admission with non-fatal infarction 60 months after surgery.
ALL CAUSE MORTALITY
All cause mortality was associated with high concentrations of factor VIIc and factor VIIIc, high white blood cell count, low concentration of haemoglobin and apolipoprotein AI, preoperative hypertension, and female sex (table 4).
In multivariate analysis, factor VII and preoperative hypertension were included in model 1, and in addition, apolipoprotein AI and apolipoprotein B were also included in model 2 (table 5).
LATE CARDIAC MORTALITY BEYOND 30 DAYS
Late cardiac death was associated with low concentrations of apolipoprotein AI and haemoglobin, high white blood cell count, more severe left ventricular regional wall motion abnormalities, preoperative hypertension, and female sex (table 4).
In multivariate analysis, female sex, more severe left ventricular regional wall motion abnormalities, and white blood cell count were included in model 1, and in addition, apolipoprotein AI was also included in model 2 (table 5).
LATE CARDIAC MORTALITY AND NON-FATAL MYOCARDIAL INFARCTION
The combination of late cardiac death and non-fatal myocardial infarction was associated with high concentrations of triglycerides and factor VIIIc, a high white blood cell count, low concentrations of apolipoprotein AI, more severe left ventricular regional wall motion abnormalities, preoperative hypertension, non-use of a LIMA conduit, and female sex (table 4).
In multivariate analysis, non-use of a LIMA conduit, preoperative hypertension, and fasting insulin were included in model 1, and non-use of an LIMA conduit, preoperative hypertension, more severe left ventricular regional wall motion abnormalities, and apolipoprotein AI in model 2 (table 5).
We designed this study to evaluate prospectively the outcome of a consecutive group of unselected patients five years after coronary artery bypass graft surgery, and to examine the association with coronary risk factors. To the best of our knowledge it is the first to include lipid, haemostatic, glycaemic, and demographic risk factors. We have found a direct and independent association between apolipoprotein AI concentration and all cause mortality and late cardiac events. There was no association between outcome and any other lipid fractions with the exception of that between all cause mortality and apolipoprotein B concentration.
There are few studies which have prospectively examined the association between major events after coronary artery bypass graft surgery and different lipid fractions, although the association with angiographic outcome is more widely reported. Ten years after surgery patients with recurrent cardiac events had higher serum concentrations of total cholesterol and triglycerides, but there was no association with HDL cholesterol, apolipoprotein AI, or apolipoprotein B,9 and in multivariate analysis an adverse outcome was particularly found in patients with the combination of low HDL cholesterol and high triglycerides.9 High concentrations of total cholesterol and triglycerides discriminated patients with severe angina from those without angina five years after coronary artery bypass graft surgery.17 In angiographic studies, late changes in vein grafts and in native coronary arteries were associated with low levels of HDL cholesterol,11 early18 and late19 vein graft occlusions were associated with higher levels of total cholesterol, and late thrombosis of vein grafts was associated with higher ratios of serum total cholesterol to HDL cholesterol and of serum LDL cholesterol to HDL cholesterol.20 In randomised controlled trials, progression of atherosclerosis in vein grafts was less in patients treated with lipid lowering drugs,10 and more aggressive lowering of LDL cholesterol had the greatest impact.21
There was a strong association between outcome and apolipoprotein AI concentration in our study—there was a threefold increase in risk of late major coronary events in patients in the bottom tertile compared to those in the top tertile. In contrast, we have not found an association between major events and other markers of an adverse lipid profile. Apolipoprotein AI has a major role in the function of HDL to remove excess cholesterol from peripheral tissues and may be a better marker of adverse cholesterol metabolism than the other lipid fractions analysed. Alternatively, the association we found between outcome and the concentration of apolipoprotein AI may reflect its physical association with paraoxonase, an enzyme located on HDL which reduces oxidative modification of LDL,6 and thus may protect against atherosclerosis.
Low concentrations of apolipoprotein AI have been associated with β blocker treatment. In our study, there was no significant difference in mean apolipoprotein AI concentration in patients taking β blockers and those not taking them (preoperation, 1.0 g/lv 1.0 g/l; at five years, 1.4 g/lv 1.5 g/l). Hence, the association between low apolipoprotein AI concentration and all measures of outcome was not explained by a greater use of β blockers in patients with an adverse outcome.
High levels of markers of systemic inflammation have been associated with later myocardial infarction in healthy men22 and acute coronary events in patients with angina.23 In our study the total white blood cell count was associated with mortality, and myocardial infarction and may be a marker of inflammation. We have also found less consistent associations between outcome and the haemostatic covariates FVIIc and FVIIIc and haemoglobin concentration. However, in contrast to patients with native coronary disease,22 ,23 high concentrations of fibrinogen were not associated with an adverse outcome in our study (events in tertiles 1, 2, and 3 for fibrinogen, respectively: all cause mortality, 11, 14, 15; late cardiac death, 3, 7, 6; late cardiac death and myocardial infarction, 5, 11, 7).
C reactive protein is an acute phase reactant and a marker for underlying systemic inflammation. Moreover, raised concentrations have been reported in patients developing acute coronary syndromes,22 ,23 and discriminate patients with unstable angina who have a worse outcome.24 Unfortunately we do not know the C reactive protein concentrations in our patients.
The association between a low concentration of apolipoprotein B and all cause mortality was a surprise. Apolipoprotein B is the major protein of LDL and previous studies have reported an association between high apolipoprotein B concentration and adverse angiographic outcome after coronary artery bypass graft surgery.11 ,25 However, further scrutiny showed that this apparent anomaly in our study is explained by very low concentrations of apolipoprotein B in five patients dying from carcinoma.
Our study is robust and has reaffirmed preoperative left ventricular dysfunction26-33 and hypertension27 ,34 as predictors of mortality. Sex has also previously been identified as an independent predictor of late mortality after coronary artery surgery,35 although others have failed to confirm this if other variables were considered36 ,37 and operative mortality was excluded.38 However, covariates for which we have found no association with outcome may have a weaker association than we are able to detect. For example, the adverse effect on survival of patients with more extensive preoperative coronary artery disease is well described,26 ,34 ,39 and compared with older patients, a survival advantage has been reported in younger patients which persisted with prolonged periods of follow up.27 ,34We estimate that the smallest detectable difference in total mortality between the upper and lower tertiles of the laboratory variables represents a relative risk of approximately 2.0.
Our study reaffirms the importance of the previously identified risk factors of female sex, preoperative hypertension, and left ventricular dysfunction as predictors of outcome five years after coronary artery bypass graft surgery. However, more importantly we have found a consistent and independent association between low concentrations of apolipoprotein AI and an adverse outcome. An association between outcome and other covariates such as total white blood cell count provides a credible pointer to inflammation mediating a component of cardiovascular risk. There is increasing attention focused on the role of inflammatory atherosclerosis in patients with native coronary disease and our results emphasise that the role of inflammatory atherosclerosis after coronary artery bypass graft surgery also needs to be investigated.
This study was supported by a grant from The British Heart Foundation. MF held a Wellcome Junior Clinical Research Fellowship and JSS held a Research Training Fellowship awarded by the Research and Development Division of the Northern Region. We are grateful for the support of Professor R W F Campbell, Mr J H Dark, and all the cardiologists and cardiothoracic surgeons whose patients have been studied, and to Ms Nicola Cleghorn for technical assistance. Professor Campbell sadly died during the time this paper was being submitted.
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