Methods: A total of 78 patients (54 males, 24 females; mean age 60.4±9.4 years; range 37 to 78 years) with previous history of coronary artery bypass graft (CABG) surgery who underwent coronary angiography based on predetermined objective clinical criteria were included. Risk factors leading to atherosclerosis were questioned and biochemical tests were studied in all patients. A 50% or more stenosis in at least one of the saphenous vein grafts was defined as SVGD. The patients were divided in two groups according to the presence of SVGD (group 1), and the absence of SVGD (group 2).
Results: When we compared the demographic characteristics and laboratory findings of both groups, body mass index (BMI), total cholesterol/high-density lipoprotein (HDL) cholesterol ratio, uric acid (UA) and hs-CRP levels were significantly higher, while HDL cholesterol level was significantly lower in group 1. Multivariate logistic regression analysis showed that BMI, UA and hs-CRP levels were independent predictors of SVGD (hs-CRP OR: 1.522, p<0.01, UA OR: 1.48, p=0.01, BMI OR: 1.31, p=0.04). The ROC analysis demonstrated that a 0.8 mg/dL hs-CRP cut-off value indicated SVGH with a 80% sensitivity and 85% specificity rate.
Conclusion: In our study, hs-CRP was found to be the most powerful predictor of SVGD. High-sensitivity-C-reactive protein is a noninvasive, reliable and useful parameter in the prediction and monitoring of SVGD.
The clear elucidation of the relationship between atherosclerosis and inflammation in recent years has given rise to the idea that some of the inflammatory markers may be utilized to predict the risk of future cardiovascular events. The most robust evidence regarding these markers is associated with highsensitivity C-reactive protein (hs-CPR). Recent studies have proven the usefulness of hs-CRP in anticipating the prognosis in healthy subjects as well as those with cardiovascular disease.[3-4]
Although various factors such as the native vessel diameter, the nature of the vessel to which the grafting was performed, the severity of the proximal obstruction of the bypass graft, age of the graft, the use of tobacco, increased serum cholesterol levels, diabetes mellitus (DM), hypertension (HT), hyperhomocysteinemia, hyperfibrinogenemia, and the amount of elapsed time after CABG affect the relationship between hs-CRP and SVGD, the amount of information regarding this topic is very limited in the literature.[1,5,6]
In our study, we investigated the relationship between hs-CRP and SVGD in patients with CABG.
Table 1: The number and localization of saphenous vein grafts
All the patients were hospitalized 12 hours prior to the operation. An intense scrutiny of each participant was conducted which involved patient histories and physical examinations. The dates of the CABG, the type and number of grafts used, and the type of technique utilized in the preparation of the SVGs were recorded after a retrospective evaluation of the patient files. In addition, the presence of risk factors like HT, DM, and hyperlipidemia along with the use of tobacco, a positive family history of cardiac diseases, a previous history of myocardial infarction (MI) or cerebrovascular event, and the medicines currently being used by the patients were also noted. The weight, height, blood pressure, heart rate, and body mass index (BMI) were also determined for each patient. According to our records, conventional harvesting techniques had been performed on all patients.
Blood samples were drawn from the patients following at least 12 hours of fasting after they were admitted to the coronary angiography clinic. A hemogram was then performed, and tests were done to determine the levels of fasting blood glucose, urea, creatinine, ALT, AST, total cholesterol, low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, triglycerides (TG), and uric acid (UA). A thyroid function test was also performed for each patient.
Laboratory examination for high-sensitivity
C-reactive protein
Following the 12-hour fast and a 20-minute rest
period, 10 ml blood samples were drawn into test
tubes that contained ethylenediaminetetraacetic acid
(EDTA) for hs-CRP measurement in the morning.
The samples were then centrifuged for five minutes
at 1500 rpm and +4 °C, and the supernatant plasma
was transferred into another test tube for hs-CRP
analysis. An immunoassay analysis method (IMMAGE®
Immunochemistry Systems, Beckman Coulter, Inc.,
Brea, California) was then used to measure the level of
hs-CRP in the supernatant serum.
Evaluation of the coronary angiography
Coronary angiography was undertaken according to
the Judkins technique using routine standard projections.
The SVGs were subjected to an evaluation based on at
least two distinct angles. If needed, an aortic root
evaluation was also conducted. The presence of ≥50%
obstruction in any one of the SVGs was accepted
as SVGD. Three different cardiologists who were
blinded to the study determined the treatment approach
following the CAG.
Statistical analysis
All the analyses were implemented using the SPSS
(SPSS Inc., Chicago, Illinois, USA) version 17.0 for
Windows statistical software package. Continuous
variables for the data related to the groups were
expressed as mean ± standard deviation (mean±SD)
while categorical variables were indicated using
numbers and percentages. Comparisons between the
continuous variables of the two groups were fulfilled
utilizing Student’s t-test, and a chi-square test was
used to compare categorical variables. In order to
specify the independent variables that had an impact
on the presence of SVGD, multivariate logistic
regression analysis was performed. Any rise or fall
stemming from each unit increase in the variables
that proved to be significant was determined using the odds ratio (OR). The “cut-off’’ values of the
parameters which independently predicted the
SVGD were specified according to the receiver
operating characteristic (ROC) analysis. As for the
group comparisons, a one-way analysis of variance
(ANOVA) test was used for the normally distributed
parameters. A p value <0.05 was accepted as being
statistically significant.
Table 2: Comparison of the clinical and demographic properties of the patients
Table 3: Comparison of laboratory properties of the patients
The independent markers in the prediction of
saphenous vein graft disease
The variables that were found to be statistically
significant in univariate analysis between
groups 1 and 2 were entered into multivariate
logistic regression analysis, and this indicated that
hs-CRP, UA, and BMI were independent predictors
of SVGD (Table 5). Increases of 0.1 mg/dL in
hs-CRP, 0.5 mg/dL in UA, and one unit in BMI
revealed a respective 52%, 48% and 32% increase
in the risk for development of SVGD (hs-CRP OR:
1.522, 95% CI: 1.23-1.87, p<0.01; UA OR: 1.48, 95%
CI: 1.08-2.02, p=0.01; BMI OR: 1.31, 95% CI: 1.01-
1.70, p=0.04) (Table 5).
Table 5: Independent predictors of saphenous vein graft disease
The use of the receiver operating characteristic
analysis in the prediction of saphenous vein graft
disease development
A ROC analysis was implemented for any variable
exhibiting an independent correlation with SVGD
development (Table 6). A significant correlation
was observed in the area under the ROC (AUROC)
curves for hs-CRP, UA, and BMI with regard to
SVGD development. These levels were calculated as
0.875, 0.766 and 0.688, respectively. After accepting
0.8 mg/dL as the “cut-off’’ value for the hs-CRP level, it corresponded to 80% sensitivity and 85% specificity in
the prediction of SVGD development.
Several risk factors have been described in studies that have been conducted regarding demographic, laboratory, and treatment findings and their relationship to their ability to predict SVGD development. Female gender, DM, HT, the use of tobacco, elevated total and LDL cholesterol levels, decreased HDL cholesterol levels, increased total cholesterol/HDL ratios, hyperhomocysteinemia, increased levels of fibrinogen, the age of the graft, the diameter of the native vessel, the vessel to which the SVG was connected, and the severity of the proximal obstruction of the bypass graft have all been identified as having a connection with SVGD. The patency of vein grafts can also be affected by the harvesting technique. Investigators have suggested that the no-touch technique can decrease early graft failure caused by thrombosis and intimal hyperplasia.[7] In our study, a correlation was found between SVGD development and a positive history for hyperlipidemia, the use of nitrates, heart rate, BMI, hs-CRP and UA levels, total cholesterol/HDL ratios, and low levels of HDL cholesterol. However, in contrast to previous studies, we found no significant correlation between female gender, DM, HT, the use of tobacco, and elevated total cholesterol and LDL cholesterol levels and SVGD development.[2,6,8] Our study population was small, and this could have affected our results. However, we did not evaluate the patients’ medication history, especially their use of statins, since that can influence cholesterol levels. Our evaluations were based solely on the medications that were currently being used.
Although the annual restenosis rates in SVGs one and six years after bypass surgery is 1-2%, this ratio increases by 4% for each year between the postoperative sixth and 10th years, with only 60% of the SVGs remaining patent in the 10th postoperative year.[2] Hence, the age of the graft has been considered to be one of the risk factors for SVGD. There appeared to be a significant correlation between the age of the graft and SVGD in our study, and this was consistent with the findings of previous studies. However, our study was unique in that we were able to document that the age of the graft did not independently affect the development of SVGD.
No precise data exists in the literature concerning the correlation between DM and SVGD. However, fiveyear survival rates have been shown to be significantly lower in diabetic patients.[9] In our study, the incidence of DM was higher in group 1, but it did not reach the level of statistical significance.
Hyperlipidemia is a strong indicator of atherosclerosis occurring in both native coronary arteries and SVGs.[2,10] In a study by Campeau et al.[11] the elevated total cholesterol, very low-density lipoprotein (VLDL) and LDL levels along with lower HDL levels proved to be primary indicators for predicting the development of new angiographic lesions 10 years after bypass surgery. They suggested that the increased LDL and decreased HDL cholesterol levels were significant predictors of the development of new lesions. Likewise, there was a significant correlation between elevated the total cholesterol/HDL and LDL/HDL ratios associated with late SVG thrombosis.[12] This condition was proposed to result from the increased risk for rupture of the lipid-rich plaques as well as a boost in the procoagulant effect. In concordance with previous studies, we found lower HDL cholesterol levels and significantly higher total cholesterol/HDL ratios in group 1.
The inflammatory process plays an important role in each step of atherosclerosis.[13] One of the most investigated inflammatory markers in patients with CAD is hs-CRP,[14,15] and this has been shown to be a stronger indicator than the level of LDL cholesterol for cardiovascular events.[16,17] For this reason, CRP was cited as one of the major cardiovascular risk factors and a secondary target for statin therapy in the 2009 Canadian Cardiovascular Society/Canadian guidelines for the diagnosis and treatment of dyslipidemia and prevention of cardiovascular diseases in the adult---2009 recommendations.[18]
Although several studies have reported an association between hs-CRP and CAD, the relationship between hs-CRP and SVGD remains unclear.[14,15] A study by Jabs et al.[19] demonstrated that CRP-messenger ribonucleic acid (mRNA) and protein expression increased in patients with SVGD. Christiansen et al.,[20] found that more inflammatory cytokines were secreted from diseased SVGs than from the atherosclerotic coronary artery, and these increased cytokines were thought to be associated with accelerated atherosclerosis that is evident in SVGD. Owen et al.[21,22] reported that hs-CRP was significantly associated with venous graft failure in patients with peripheral artery disease and the effect of hs-CRP levels on the remodeling of venous vessels. In our study, we detected an independent correlation between hs-CRP levels and the presence of SVGD. This result points to the importance of the chronic inflammatory process in SVGD, which is similar to that found in native vessel disease, and supports the studies that have demonstrated that hs-CRP is a significant predictor of vascular risk. Moreover, by dividing the patients with SVGD into two subgroups according to whether they had complete obstruction or partial obstruction, the measured hs-CRP levels were much greater in those with complete obstruction. This suggests that hs-CRP might possibly be secreted from the calcified plaques rather than the vulnerable plaques.
Numerous studies have investigated the correlation between the serum levels of UA and CAD in the literature.[23] The pro-inflammatory effect, oxidative metabolism, and procoagulant effect of the urate crystals have been suggested as underlying mechanisms for an association between serum UA and CAD.[23] In a study conducted on 192 bypass patients which investigated the probable relationship between UA levels and SVGD, the UA levels were significantly higher in patients with this disease.[23] In our study, the elevated serum UA level was an another independent predictor of SVGD, and a “cut-off’’ value of 5.5 mg/dL was proposed, with 74% sensitivity and 75% specificity, to indicate SVGD. This result supports the findings from a previous study by Tavil et al.[23] We concluded on the basis of the aforementioned results that monitorization of the serum UA level was justified in the routine follow-up of patients undergoing CABG.
Besides it being an independent risk factor for the development of CAD, obesity is also related to other cardiac risk factors such as DM, HT, and hyperlipidemia.[24] The ability of obesity to increase the risk for CAD has especially been associated with its metabolic effects (metabolic syndrome, DM, dyslipidemia, inclination to thrombosis). In a study which followed up 54,783 patients without CAD for 7.7 years who had been recruited for the Danish Prospective Diet, Cancer and Health Trial, BMI was closely associated with the risk for CAD; moreover, a one unit drop in the BMI was directly related to a 5% decrease in CAD in women and a 7% decrease in CAD in men (p<0.0001).[25] In our study, a significant correlation was documented between BMI and SVGD. A ‘’cut-off’’ BMI value of 27 was identified, with 71% sensitivity and 65% specificity, to predict SVGD. An evaluation of BMI together with waist circumference measurements would provide additional beneficial results regarding the risk management of patients undergoing CABG.
Study limitations
Among all of the inflammatory markers, we were
only able to base our study on the hs-CRP level due to
financial shortcomings. Accordingly, our study would
have been more meaningful if other inflammatory
parameters such as white blood cell count, IL-1, IL-2,
IL-6, tumor necrosis factor-alpha (TNF-a), serum
amyloid A, procalcitonin, and serum adhesion molecules
had been included so that their roles in the prediction of
SVGD could also have been evaluated. We examined the
levels of hs-CRP at one point in time. Further evaluation
of hs-CRP levels at regular intervals could provide further valuable information regarding the prediction of
SVGD. Statin therapy has also been shown by previous
studies to have an impact on hs-CRP levels.[16,26] The
patients included in our study had been using either
different medications or similar medications at various
doses, so the effects of these drugs on the hs-CRP
levels and SVGD development could not be assessed.
The presence and degree of SVGD was determined
in our study on the basis of diagnostic coronary
angiography. However, we think that depicting the
changes created by the ongoing inflammatory process
in SVGD by more sophisticated imaging techniques,
such as intravascular ultrasound (IVUS) and other
advanced diagnostic methods, would contribute more
to the grading and follow-up of the disease. The major
limitation of our study was the relatively small patient
population; therefore, studies involving larger numbers
of participants should be conducted to verify and further
advance our findings.
Declaration of conflicting interests
The authors declared no conflicts of interest with
respect to the authorship and/or publication of this article.
Funding
The authors received no financial support for the
research and/or authorship of this article.
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