Abstract
Objectives
To identify parameters influencing the likelihood of restenosis after implantation of drug‐eluting stents (DES) in patients with diabetes.
Methods
Stented patients (n = 840) with DES were retrospectively reviewed for inclusion in the study from the Multicenter PCI Database Registry. From this database, 211 (25.1%) of 840 patients with six‐month angiographic follow up had diabetes. Predictors of coronary restenosis were identified with univariate and multivariate logistic regression analyses.
Results
Restenosis occurred in 92 of 629 (14.6%) patients without diabetes and in 44 (20.9%) of 211 patients with diabetes (p < 0.001). Multivariate parameters for predicting restenosis in the diabetic group were current smoking (odds ratio (OR) 1.923, 95% confidence interval (CI) 1.055 to 4.725, p = 0.036), higher C reactive protein concentration (OR 1.031, 95% CI 1.011 to 1.075, p = 0.043), use of the paclitaxel‐eluting stent (OR 2.638, 95% CI 1.338 to 5.200, p = 0.005), longer stent length (OR 1.065, 95% CI 1.021 to 1.119, p = 0.033), smaller reference diameter before DES implantation (OR 0.501, 95% CI 0.110 to 0.965, p = 0.040), smaller reference diameter (OR 0.455, 95% CI 0.120 to 0.814, p = 0.026) and minimum lumen diameter (OR 0.447, 95% CI 0.068 to 0.876, p = 0.039) after DES implantation.
Conclusion
Even with the introduction of DES, diabetes remains a significant predictor of coronary restenosis, especially in cases of a small baseline vessel size, small vessel size after percutaneous coronary intervention, longer stent length, use of the paclitaxel‐eluting stent, current smoking and high C reactive protein concentration.
People with diabetes mellitus are more prone to coronary heart disease, stroke and peripheral vascular disease.1,2,3 Diabetes mellitus has been regarded as an independent risk factor for the progression of coronary artery disease.4,5 Several studies have reported that diabetes increased the risk of cardiovascular mortality in both men and women.6,7 Moreover, diabetes has been considered to be a predictor of poor prognosis after coronary artery bypass surgery8 and percutaneous transluminal coronary angioplasty.9,10 Long‐term clinical and angiographic outcomes after percutaneous coronary intervention (PCI) with bare metal stents (BMS) have been shown to be worse in patients with than in those without diabetes.11,12
With the introduction of drug‐eluting stents (DES), the angiographic rates of restenosis in later months have been reduced dramatically in several studies.13,14 Even with DES, however, patients with diabetes had increased rates of restenosis and late loss index compared with patients who did not have diabetes. In the era of DES, no study has identified the clinical and angiographic predictors of coronary restenosis in patients with diabetes after DES implantation. The objective of this observational retrospective cohort study was to identify parameters influencing coronary restenosis after DES implantation in patients with diabetes.
METHODS
Study patients
Patients were retrospectively identified for inclusion in the study from the Multicenter PCI Database Registry from March 2003 to January 2005. Five cardiovascular centres in five major cities in Korea participated in the Multicenter PCI Database Registry. All clinical and angiographic data were sent to the core laboratory (Korea University, Seoul, Korea) and were entered on to the PCI database. Patients who received intracoronary DES implantation with complete clinical and angiographic six‐month follow up were included in the study. From this database, 211 (25.1%) of 840 patients with six‐month clinical and angiographic follow up had diabetes. Restenosis (> 50% of the luminal diameter stenosis during the six‐month follow up) occurred in 44 (20.9%) of 211 patients with diabetes. Diabetes mellitus was defined as a history of diabetes, a fasting plasma glucose concentration > 7.0 mmol/l or the use of hypoglycaemia drugs. Systemic hypertension was defined as a systolic blood pressure ⩾ 130 mm Hg, diastolic pressure ⩾ 80 mm Hg or the use of hypertension drugs. Hyperlipidaemia was defined as a total cholesterol concentration ⩾ 5.18 mmol/l, low‐density lipoprotein cholesterol concentration ⩾ 3.37 mmol/l or treatment with a lipid‐lowering agent. Smoking was defined as current or recent history of smoking within the preceding year. Family history of premature coronary artery disease was defined as coronary artery disease in a male first‐degree relative < 55 years old and a female first‐degree relatives < 65 years old. Body mass index was calculated by dividing the weight in kilograms by the square of the height in metres. We excluded patients with acute myocardial infarction, a history of interventional or surgical treatment for coronary artery disease, coronary artery total occlusion, or a contraindication to antiplatelet or anticoagulation treatment. Written informed consent was obtained from each patient in accordance with the Declaration of Helsinki, and the study was approved by the institutional review committees.
Angiographic analysis
Coronary angiograms were recorded at baseline, immediately after stenting and at six months of follow up. Two identical orthogonal views were obtained after the intracoronary administration of nitrates and were stored on digital CD‐ROM. End diastolic frames were chosen for quantitative analysis with a computer‐based TCS system, V.2.02 (Medcon Inc, Tel Aviv, Israel) by an operator who was unaware of the patient's information. The average diameter of normal segments distal and proximal to the treated lesion was used as the reference diameter. Minimum lumen diameter (MLD), percentage of stenosis and lesion length were calculated as the average value of the two orthogonal views. The same views and calibration were used at follow‐up angiography. Restenosis was defined as stenosis of > 50% of the lumen diameter.
Stent implantation
Balloon angioplasty and stent implantation were performed according to standard clinical practice. The femoral approach was used, and all patients took 100 mg of aspirin combined with either 300 mg of clopidogrel or 500 mg of ticlopidine on the day before the procedure. Aspirin was given indefinitely, and 75 mg of clopidogrel or 250 mg of ticlopidine once daily was given for six months. At the beginning of the intervention, a heparin bolus of 100 U/kg was administered after sheath insertion, and supplemental doses were then given to maintain an activated clotting time of > 300 s. A Judkins 6 French or 7 French large lumen guiding catheter and a 0.014 inch guidewire were used. All patients in the study underwent balloon predilatation before stenting, and the size of the balloon was determined by the target vessel size. Either sirolimus‐eluting stents (Cypher; Cordis, Johnson & Johnson Corp, Miami, Florida, USA) or paclitaxel‐eluting stents (Taxus; Boston Scientific Corp, Natick, Massachusetts, USA) were selected at the discretion of the operator. High‐pressure balloon inflation was used in selected patients to avoid stent underexpansion. Intravascular ultrasound (IVUS) was used in some cases if necessary. Procedural myocardial infarction was defined as the presence of new Q waves that were 0.03 s wide, one third of the QRS complex in ⩾ 2 contiguous leads or a ⩾ 3‐fold increase in creatine kinase MB concentration from the upper normal limit.
Follow up
A complete clinical workup was scheduled at one month, three months and six months after the procedure. Angiographic follow up was scheduled at six months after the procedure. All major adverse cardiac events occurring in hospital, out of hospital and cumulatively at 180 days after stent implantation were determined. Major adverse cardiac events were noted: all cause death, myocardial infarction and the need for repeated target lesion revascularisation within six months. A 12‐lead ECG was recorded immediately after the procedure and 6, 12 and 24 h after the procedure. Creatine kinase activity was measured at the same time points. The end points were defined as cardiac death, myocardial infarction and the need for repeat revascularisation of the target vessel.
Statistical analysis
For continuous variables, data are expressed as mean (SD) and compared by the unpaired Student's t test. Data for the categorical variables are expressed as the number and the percentage of patients. Fisher's exact test or a χ2 test was used as needed. To identify the predictors of coronary restenosis in patients with diabetes, multivariate logistic models were used. Quantitative coronary angiographic parameters were entered as continuous variables into the univariate logistic regression. Univariate variables with p < 0.20 were entered into the multivariate logistic models. A value of p < 0.05 was considered significant. Data were statistically analysed with commercially available software (SPSS V.10.0 for Windows; SPSS Inc, Chicago, Illinois, USA).
RESULTS
Study patients
Age, sex and body mass index of patients in the restenosis group (RG, n = 44) and the no restenosis group (NRG, n = 167) were similar (table 1). However, the rates of hypertension (71.9% v 51.7%, p = 0.038) and current smoking (45.5% v 28.1%, p = 0.028) at baseline were significantly higher in the RG than in the NRG. Restenosis occurred in 92 of 629 (14.6%) patients without and in 44 (20.9%) of 211 patients with diabetes (p < 0.001). Only 4.7% (n = 8) of patients in the NRG underwent IVUS study, and 4.5% (n = 2) of patients in the RG had IVUS study.
Table 1 Baseline patient characteristics.
Variable | No restenosis group (n = 167) | Restenosis group (n = 44) | p Value |
---|---|---|---|
Age (years) | 60.1 (9.8) | 62.2 (10.5) | 0.200 |
Men | 58/167 (34.7%) | 12/44 (27.3%) | 0.350 |
Body mass index (kg/m2) | 22.9 (8.7) | 24.8 (3.2) | 0.562 |
Risk factor | |||
Hypertension | 74/143 (51.7%) | 23/32 (71.9%) | 0.038 |
Hyperlipidaemia | 31/128 (24.2%) | 9/27 (33.3%) | 0.325 |
Current smoking | 47/167 (28.1%) | 20/44 (45.5%) | 0.028 |
Family history of CAD | 15/155 (9.7%) | 6/38 (15.8%) | 0.278 |
Left ventricular ejection fraction (%) | 56.6 (12.2) | 56.6 (11.4) | 0.997 |
Stable angina | 80/167 (47.9%) | 12/44 (27.3%) | 0.014 |
Unstable angina | 59/167 (35.3%) | 20/44 (45.5%) | 0.217 |
Drugs at baseline | |||
Oral diabetes drugs | 112/167 (67.1%) | 28/44 (63.6%) | 0.668 |
Insulin | 38/167 (22.8%) | 13/44 (29.5%) | 0.349 |
Aspirin | 95/122 (77.9%) | 14/17 (82.4%) | 0.674 |
ACE inhibitor | 55/122 (45.1%) | 7/17 (41.2%) | 0.762 |
Angiotensin II receptor blocker | 23/122 (18.9%) | 2/17 (11.8%) | 0.476 |
β blocker | 63/122 (51.6%) | 7/17 (41.2%) | 0.419 |
Calcium channel blocker | 28/122 (23.0%) | 4/17 (23.5%) | 0.958 |
Diuretics | 28/122 (23.0%) | 4/17 (23.5%) | 0.958 |
Nitrate | 44/122 (36.1%) | 5/17 (29.4%) | 0.591 |
Nicorandil | 8/122 (6.6%) | 4/17 (23.5%) | 0.020 |
Prior stroke | 1/125 (0.8%) | 0/17 | 1.000 |
Data are number (%) or mean (SD).
ACE, angiotensin‐converting enzyme; CAD, coronary artery disease.
Angiographic characteristics
Table 2 lists the results of quantitative coronary angiography. More patients in the RG than in the NRG had two‐vessel disease (27.3% v 8.4%, p = 0.001). Baseline reference diameter was significantly larger in the NRG than in the RG (3.06 (0.57) mm v 2.78 (0.49) mm, p < 0.001). Mean lesion length was significantly greater in the RG than in the NRG (22.5 (8.0) mm v 19.9 (6.0) mm, p = 0.027). Postprocedural reference diameter and MLD were significantly larger in the NRG than in the RG (3.14 (0.54) mm v 2.83 (0.50) mm, p = 0.002 and 2.85 (0.42) mm v 2.63 (0.29) mm, p = 0.001, respectively). A mean of 1.1 (0.3) and 1.3 (0.5) stents were implanted in each patient in the NRG and the RG, respectively. In the NRG, 130/182 (71.4%) sirolimus‐eluting stents and 52/182 (28.6%) paclitaxel‐eluting stents were used compared with 26/56 (46.4%) sirolimus‐eluting stents and 30/56 (53.6%) paclitaxel‐eluting stents in the RG.
Table 2 Results of angiographic characteristics.
Variable | No restenosis group (n = 167) | Restenosis group (n = 44) | p Value |
---|---|---|---|
Type of lesion* | |||
B1 | 11/138 (8.0%) | 3/32 (9.4%) | 0.795 |
B2 | 96/138 (69.6%) | 17/32 (53.1%) | 0.076 |
C | 31/138 (22.5%) | 12/32 (37.5%) | 0.078 |
Target vessel | |||
Left main lesion | 14/182 (7.7%) | 9/56 (16.1%) | 0.063 |
Left anterior descending lesion | 89/182 (48.9%) | 26/56 (46.4%) | 0.746 |
Circumflex lesion | 37/182 (20.3%) | 10/56 (17.9%) | 0.684 |
Right coronary lesion | 42/182 (23.1%) | 11/56 (19.6%) | 0.589 |
Number of diseased vessels | |||
1 | 152/167 (91.0%) | 32/44 (72.7%) | 0.001 |
2 | 14/167 (8.4%) | 12/44 (27.3%) | 0.001 |
3 | 1/167 (0.6%) | 0/44 (0.0%) | 1.000 |
Baseline | |||
Reference diameter (mm) | 3.06 (0.57) | 2.78 (0.49) | <0.001 |
Minimum lumen diameter (mm) | 0.64 (0.31) | 0.62 (0.34) | 0.703 |
Stenosis (%) | 78.4 (10.3) | 77.8 (12.2) | 0.751 |
Mean lesion length (mm) | 19.9 (6.0) | 22.5 (8.0) | 0.027 |
Post‐procedure | |||
Reference diameter (mm) | 3.14 (0.54) | 2.83 (0.50) | 0.002 |
Minimum lumen diameter (mm) | 2.85 (0.42) | 2.63 (0.29) | 0.001 |
Stenosis (%) | 9.4 (10.7) | 7.6 (9.3) | 0.308 |
Acute gain (mm) | 2.20 (0.44) | 2.00 (0.38) | 0.004 |
Mean stent length (mm) | 22.2 (5.6) | 25.1 (5.4) | 0.002 |
Mean stent diameter (mm) | 2.9 (0.3) | 2.8 (0.4) | 0.408 |
*Modified American College of Cardiology/American Heart Association lesion classification.
Data are number (%) or mean (SD).
Six‐month clinical outcomes and multivariate analysis for predicting restenosis
Six‐month clinical follow up showed significantly higher rates of target vessel revascularisation (52.3% v 5.4%, p < 0.001) and target lesion revascularisation (22.7% v 0.0%, p < 0.001) in the RG than in the NRG (table 3). Rates of death (p = 1.000) and myocardial infarction (p = 0.111) were similar between the two groups during six months of follow up. Among 44 patients in the RG, 20 received sirolimus‐eluting stents and 24 received paclitaxel‐eluting stents. The restenosis pattern in patients with sirolimus‐eluting stents was predominantly a focal type (n = 19, 95.0%) (lesions ⩽ 10 mm in length), and one patient (5%) had a diffuse type of restenosis. The predominant restenosis pattern in patients with paclitaxel‐eluting stents was also a focal type (n = 17, 70.8%); however, relatively more patients (n = 7, 29.2%) had diffuse type of restenosis after paclitaxel‐eluting stent implantation. Among 10 patients with target lesion revascularisation, seven received paclitaxel‐eluting stents and three received sirolimus‐eluting stents.
Table 3 Number of six‐month clinical outcomes.
Variable | No restenosis group (n = 167) | Restenosis group (n = 44) | p Value |
---|---|---|---|
Death | 1 (0.6%) | 0 | 1.000 |
Myocardial infarction | 1 (0.6%) | 2 (4.5%) | 0.111 |
Target vessel revascularisation | 9 (5.4%) | 23 (52.3%) | <0.001 |
Target lesion revascularisation | 0 | 10 (22.7%) | <0.001 |
Percutaneous coronary intervention | 0 | 10 (22.7%) | <0.001 |
Coronary bypass | 0 | 0 | NA |
NA, not applicable.
Univariate analysis showed that the clinical predictors of restenosis in patients with diabetes were a history of stable angina (odds ratio (OR) 0.408, 95% confidence interval (CI) 0.197 to 0.846, p = 0.016), hypertension (OR 2.383, 95% CI 1.031 to 5.506, p = 0.042) and smoking (OR 2.127, 95% CI 1.075 to 4.210, p = 0.030) (table 4). Moreover, the angiographic predictors of restenosis by univariate analysis were pre‐PCI reference diameter (OR 0.306, 95% CI 0.138 to 0.680, p = 0.004), post‐PCI reference diameter (OR 0.283, 95% CI 0.123 to 0.653, p = 0.003), post‐PCI MLD (OR 0.131, 95% CI 0.047 to 0.369, p = 0.001), stent length (OR 1.104, 95% CI 1.035 to 1.178, p = 0.003) and the use of the paclitaxel‐eluting stent (OR 5.160, 95% CI 2.521 to 10.565, p < 0.001). The laboratory predictors of restenosis by univariate analysis were high‐sensitive C reactive protein (CRP) (OR 1.218, 95% CI 1.037 to 1.430, p = 0.016), total cholesterol (OR 1.014, 95% CI 1.003 to 1.026, p = 0.015) and high‐density lipoprotein cholesterol (OR 1.041, 95% CI 1.006 to 1.078, p = 0.020). Multivariate logistic regression analysis showed that smoking (OR 1.923, 95% CI 1.055 to 4.725, p = 0.036), pre‐PCI reference diameter (OR 0.501, 95% CI 0.110 to 0.965, p = 0.040), post‐PCI reference diameter (OR 0.455, 95% CI 0.120 to 0.814, p = 0.026), post‐PCI MLD (OR 0.447, 95% CI 0.068 to 0.876, p = 0.039), stent length (OR 1.065, 95% CI 1.021 to 1.119, p = 0.033), the use of the paclitaxel‐eluting stent (OR 2.638, 95% CI 1.338 to 5.200, p = 0.005) and CRP (OR 1.031, 95% CI 1.011 to 1.075, p = 0.043) were independent predictors of coronary restenosis in patients with diabetes (table 4).
Table 4 Logistic regression analysis for predicting restenosis in patients with diabetes.
Parameter | Univariate | Multivariate | ||||
---|---|---|---|---|---|---|
p Value | OR | 95% CI | p Value | OR | 95% CI | |
Age | 0.199 | 1.024 | 0.988 to 1.062 | |||
Women | 0.352 | 0.705 | 0.338 to 1.471 | |||
Body mass index | 0.565 | 1.038 | 0.914 to 1.178 | |||
Unstable angina | 0.219 | 1.525 | 0.778 to 2.990 | |||
Stable angina | 0.016 | 0.408 | 0.197 to 0.846 | 0.229 | 0.794 | 0.440 to 1.663 |
Left ventricular ejection fraction | 0.997 | 1.000 | 0.967 to 1.033 | |||
Risk factor | ||||||
Hypertension | 0.042 | 2.383 | 1.031 to 5.506 | 0.184 | 1.677 | 0.740 to 7.556 |
Smoking | 0.030 | 2.127 | 1.075 to 4.210 | 0.036 | 1.923 | 1.055 to 4.725 |
Hypercholesterolaemia | 0.328 | 1.564 | 0.638 to 3.834 | |||
Lesion location | ||||||
Left anterior descending | 0.138 | 0.587 | 0.290 to 1.186 | |||
Left circumflex | 0.966 | 1.017 | 0.460 to 2.252 | |||
Right coronary | 0.984 | 0.992 | 0.461 to 2.136 | |||
Left main | 0.129 | 2.474 | 0.985 to 6.213 | |||
Quantitative coronary angiography | ||||||
Pre‐PCI reference diameter | 0.004 | 0.306 | 0.138 to 0.680 | 0.040 | 0.501 | 0.110 to 0.965 |
Pre‐PCI MLD | 0.702 | 0.811 | 0.279 to 2.363 | |||
Post‐PCI reference diameter | 0.003 | 0.283 | 0.123 to 0.653 | 0.026 | 0.455 | 0.120 to 0.814 |
Post‐PCI MLD | 0.001 | 0.131 | 0.047 to 0.369 | 0.039 | 0.447 | 0.068 to 0.876 |
Stent length (mm) | 0.003 | 1.104 | 1.035 to 1.178 | 0.033 | 1.065 | 1.021 to 1.119 |
PES implantation | <0.001 | 5.160 | 2.521 to 10.565 | 0.005 | 2.638 | 1.338 to 5.200 |
Laboratory analysis | ||||||
hsCRP | 0.016 | 1.218 | 1.037 to 1.430 | 0.043 | 1.031 | 1.011 to 1.075 |
ESR | 0.052 | 1.033 | 1.000 to 1.068 | |||
Total cholesterol | 0.015 | 1.014 | 1.003 to 1.026 | 0.489 | 1.008 | 0.892 to 1.326 |
HDL cholesterol | 0.020 | 1.041 | 1.006 to 1.078 | 0.527 | 0.997 | 0.903 to 1.578 |
Triglycerides | 0.834 | 0.999 | 0.994 to 1.005 | |||
LDL cholesterol | 0.204 | 1.009 | 0.995 to 1.023 | |||
Creatinine | 0.558 | 0.800 | 0.380 to 1.685 |
ESR, erythrocyte sedimentation rate; HDL, high‐density lipoprotein; hsCRP, high‐sensitive C reactive protein; LDL, low‐density lipoprotein; MLD, minimum lumen diameter; OR, odds ratio; PCI, percutaneous coronary intervention; PES, paclitaxel‐eluting stent.
DISCUSSION
Even in the era of DES, diabetes remains a significant predictor of coronary restenosis especially in patients with small baseline and post‐PCI vessel size, longer stent length, current smoking and high CRP concentration. Restenosis was a main clinical and angiographic concern after BMS implantation, especially in patients with diabetes. Diabetes has been known as a major risk factor for in‐stent restenosis after implantation of BMS.15 With the introduction of the DES, the angiographic rates of restenosis have decreased dramatically but less prominently in patients with diabetes. We also found 20.9% restenosis in patients with diabetes compared with 14.6% in patients without diabetes even after DES implantation. Several studies have reported clinical and angiographic parameters of coronary restenosis after BMS implantation,16,17,18 and various parameters associated with coronary restenosis after BMS implantation have been reported in diabetic populations.19,20 However, clinical and angiographic parameters of coronary restenosis in patients with diabetes after DES implantation have never been reported, to the best of our knowledge.
In‐stent restenosis in patients with diabetes is associated with complex pathophysiological processes that have not been completely understood. Several suggested pathophysiological mechanisms of coronary restenosis in patients with diabetes are related to a greater degree of underlying vascular inflammation, endothelial dysfunction, raised fractions of activated platelets with thrombus formation, dysregulation of growth factor expression and raised advanced glycosylation end products.21,22 Coronary restenosis in patients with diabetes results from neointimal hyperplasia, which causes late luminal loss. Insulin resistance in patients with diabetes aggravates coronary restenosis through a direct growth factor‐like effect of insulin on vascular smooth muscle and neointimal cells.23 Adjunctive treatment with glycoprotein IIb/IIIa inhibitor, and maintenance of aspirin and a thienopyridine for longer than one year should be considered for patients with diabetes with multiple predictors of restenosis.24 Angiotensin‐converting enzyme inhibitor, angiotensin receptor blocker and 3‐hydroxy‐3‐methylglutaryl coenzyme A reductase inhibitor should be given when clinically indicated. Moreover, the thiazolidinediones may further reduce coronary restenosis in patients with diabetes by activating the nuclear transcription factor peroxisome proliferator‐activated receptor γ.25 In addition to optimal adjunctive pharmacotherapy to prevent coronary restenosis in patients with diabetes, strict glycaemic control may decrease the restenosis rate in patients with diabetes.20,26 These data suggest that strict control of diabetes to achieve haemoglobin A1c concentrations to ⩽ 7.0% may reduce the restenosis rate and may improve clinical outcomes after PCI.
Using new devices such as DES reduces the restenosis rate in patients with diabetes by decreasing late luminal loss. By reducing coronary restenosis, DES improved the major limitation of BMS in patients with diabetes. Many studies have shown that the blockade of smooth muscle cell proliferation with DES preserves normal vessel phenotype and function, thereby decreasing the rate of neointimal hyperplasia and in‐stent restenosis.27,28 Since the introduction of paclitaxel and sirolimus‐eluting stents, these devices are regarded by many to be the standard of treatment for patients with diabetes undergoing stent implantation. Even though DES can lower restenosis rates by preventing smooth muscle cell proliferation at the stented site, atherosclerosis can progress at other coronary sites. Therefore, combined approaches based on systemic treatments are required to prevent neointimal proliferation and to prevent atherosclerosis progression at other coronary sites in patients with diabetes. We observed in our patients in the NRG that atherosclerosis can progress in other coronary sites and may lead to target vessel revascularisation (5.4% target vessel revascularisation in the NRG).
Identifying parameters of coronary restenosis is important, especially in patients with diabetes, as angiographic outcomes can be predicted from baseline clinical and angiographic parameters. Moreover, modifiable risk factors such as smoking in the present study can be adjusted to reduce the restenosis rate, and patients with multiple predictors of coronary restenosis can be considered for sirolimus‐eluting stents preferentially. The use of the sirolimus‐eluting stent in patients with diabetes was associated with a decreased rate of restenosis, suggesting a reduced risk of target lesion revascularisation in the present study. In the recently published ISAR‐DIABETES study, the use of the sirolimus‐eluting stent was associated with a decrease in late luminal loss and clinical restenosis compared with the use of the paclitaxel‐eluting stent in patients with diabetes with coronary artery disease.29 Although the total percentage of patients with diabetes with restenosis after DES implantation has decreased compared with BMS implantation, various predictors of restenosis in patients with diabetes with DES overlap with those of patients with diabetes with BMS.19 The smaller pre‐PCI and post‐PCI reference diameters were predictors of restenosis in the present study. As coronary restenosis resulted mostly from neointimal hyperplasia, binary restenosis was more likely to occur in patients with a small baseline and post‐PCI vessel diameter. Furthermore, the smaller post‐PCI MLD was a predictor of restenosis, and for every millimetre of increase in the post‐PCI MLD, the OR was 0.447 (95% CI 0.068 to 0.876) for coronary restenosis in the present study. The progressively longer stent length was associated with an increased risk of restenosis, and for every millimetre of increase in the stent length, the OR was 1.065 (95% CI 1.021 to 1.119) for restenosis. Small pre‐and post‐PCI vessel sizes and longer stent length were the major angiographic predictors of restenosis even in the era of DES. A high concentration of CRP in the RG, representing more active inflammatory status, in the present study (50.6 (22.6) mg/l v 30.7 (31.3) mg/l, p = 0.012) and smoking further aggravated endothelial dysfunction in patients with diabetes by providing a more inflammatory environment. Smokers have been paradoxically reported in some studies to have lower rates of repeat revascularisation during follow up, as smokers appeared to be less sensitive to restenosis for unknown reasons.30 Close clinical follow up with routine stress testing or routine angiographic follow up should be recommended for smokers.30 As a final point, patients with diabetes who receive DES should be treated with adjunctive systemic pharmacotherapy to modify underlying pathophysiological mechanisms responsible for neointimal formation and atherosclerosis progression, particularly in patients with multiple predictors of restenosis.
Study limitations
The present study showed the associations between various clinical and angiographic parameters and coronary restenosis in patients with diabetes; however, the cause and effect of these associations were not completely verified. Our RG included patients with > 50% coronary restenosis, and the NRG included patients with ⩽ 50% coronary stenosis. A patient with 51% coronary restenosis was therefore included in the RG, whereas a patient with 50% coronary restenosis was included in the NRG. Only selected patients underwent IVUS studies; therefore, some stents may have been underexpanded and short lesion coverage might have occurred. It is pertinent to note that the findings are based on a relatively short‐term observational study. Moreover, the number of study participants was too small to generalise our results to all patients with diabetes with DES implantation. This study is not a randomised trial; thus, a larger prospective randomised clinical trial is warranted to confirm the multiple predictors of coronary restenosis in patients with diabetes.
Conclusions
Although DES implantation was observed to improve angiographic and clinical outcomes in patients with diabetes relative to BMS implantation, coronary restenosis after DES implantation remained significantly more common in patients with diabetes than in patients who did not have diabetes. Patients with diabetes undergoing PCI with DES are prone to coronary restenosis, especially in cases of small baseline and post‐PCI reference diameters, longer stent length, the use of the paclitaxel‐eluting stent, high CRP concentration and current smokers. Identifying patients with diabetes with predictors of coronary restenosis after DES implantation may help to alter modifiable predictors of restenosis such as preferentially using sirolimus‐eluting stents, to apply more aggressive risk factor management and to consider other treatment modalities such as bypass surgery.
Abbreviations
BMS - bare metal stents
CRP - C reactive protein
DES - drug‐eluting stents
IVUS - intravascular ultrasound
MLD - minimum lumen diameter
NRG - no restenosis group
PCI - percutaneous coronary intervention
OR - odds ratio
RG - restenosis group
References
- 1.Laakso M. Hyperglycemia and cardiovascular disease in type 2 diabetes. Diabetes 199948937–942. [DOI] [PubMed] [Google Scholar]
- 2.Wannamethee S G, Shaper A G, Lennon L. Cardiovascular disease incidence and mortality in older men with diabetes and in men with coronary heart disease. Heart 2004901398–1403. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Fisher M. Diabetes: can we stop the time bomb? Heart 200389(Suppl 2)ii28–ii30. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Waller B F, Palumbo P J, Lie J T.et al Status of the coronary arteries at necropsy in diabetes mellitus with onset after age 30 years: analysis of 229 diabetic patients with and without clinical evidence of coronary heart disease and comparison to 183 control subjects. Am J Med 198069498–506. [DOI] [PubMed] [Google Scholar]
- 5.Kip K E, Faxon D P, Detre K M.et al Coronary angioplasty in diabetic patients. The National Heart, Lung, and Blood Institute Percutaneous Transluminal Coronary Angioplasty Registry. Circulation 1996941818–1825. [DOI] [PubMed] [Google Scholar]
- 6.Heart Outcomes Prevention Evaluation Study Investigators Effects of ramipril on cardiovascular and microvascular outcomes in people with diabetes mellitus: results of the HOPE study and MICRO‐HOPE substudy. Lancet 2000355253–259. [PubMed] [Google Scholar]
- 7.Stamler J, Vaccaro O, Neaton J D.et al Diabetes, other risk factors, and 12‐yr cardiovascular mortality for men screened in the Multiple Risk Factor Intervention Trial. Diabetes Care 199316434–444. [DOI] [PubMed] [Google Scholar]
- 8.Alderman E L, Corley S D, Fisher L D.et al Five‐year angiographic follow‐up of factors associated with progression of coronary artery disease in the Coronary Artery Surgery Study (CASS). J Am Coll Cardiol 1993221141–1154. [DOI] [PubMed] [Google Scholar]
- 9.Mick M J, Piedmonte M R, Arnold A M.et al Risk stratification for long‐term outcome after elective coronary angioplasty: a multivariate analysis of 5,000 patients. J Am Coll Cardiol 19942474–80. [DOI] [PubMed] [Google Scholar]
- 10.Stein B, Weintraub W S, Gebhart S S P.et al Influence of diabetes mellitus on early and late outcome after percutaneous transluminal coronary angioplasty. Circulation 199591979–989. [DOI] [PubMed] [Google Scholar]
- 11.Mathew V, Gersh B J, Williams B A.et al Outcomes in patients with diabetes mellitus undergoing percutaneous coronary intervention in the current era: a report from the Prevention of REStenosis with Tranilast and its Outcomes (PRESTO) trial. Circulation 2004109476–480. [DOI] [PubMed] [Google Scholar]
- 12.Elezi S, Kastrati A, Pache J.et al Diabetes mellitus and the clinical and angiographic outcome after coronary stent placement. J Am Coll Cardiol 1998321866–1873. [DOI] [PubMed] [Google Scholar]
- 13.Stone G W, Ellis S G, Cox D A.et al A polymer‐based, paclitaxel‐eluting stent in patients with coronary artery disease. N Engl J Med 2004350221–231. [DOI] [PubMed] [Google Scholar]
- 14.Holmes D R, Jr, Leon M B, Moses J W.et al Analysis of 1‐year clinical outcomes in the SIRIUS trial: a randomized trial of a sirolimus‐eluting stent versus a standard stent in patients at high risk for coronary restenosis. Circulation 2004109634–640. [DOI] [PubMed] [Google Scholar]
- 15.Schofer J, Schluter M, Rau T.et al Influence of treatment modality on angiographic outcome after coronary stenting in diabetic patients: a controlled study. J Am Coll Cardiol 2000351554–1559. [DOI] [PubMed] [Google Scholar]
- 16.Mercado N, Boersma E, Wijns W.et al Clinical and quantitative coronary angiographic predictors of coronary restenosis: a comparative analysis from the balloon‐to‐stent era. J Am Coll Cardiol 200138645–652. [DOI] [PubMed] [Google Scholar]
- 17.Kastrati A, Elezi S, Dirschinger J.et al Influence of lesion length on restenosis after coronary stent placement. Am J Cardiol 1999831617–1622. [DOI] [PubMed] [Google Scholar]
- 18.Bauters C, Hubert E, Prat A.et al Predictors of restenosis after coronary stent implantation. J Am Coll Cardiol 1998311291–1298. [DOI] [PubMed] [Google Scholar]
- 19.West N E, Ruygrok P N, Disco C M.et al Clinical and angiographic predictors of restenosis after stent deployment in diabetic patients. Circulation 2004109867–873. [DOI] [PubMed] [Google Scholar]
- 20.Mazeika P, Prasad N, Bui S.et al Predictors of angiographic restenosis after coronary intervention in patients with diabetes mellitus. Am Heart J 20031451013–1021. [DOI] [PubMed] [Google Scholar]
- 21.Aronson D, Bloomgarden Z, Rayfield E J. Potential mechanisms promoting restenosis in diabetic patients. J Am Coll Cardiol 199627528–535. [DOI] [PubMed] [Google Scholar]
- 22.Kereiakes D J, Young J J. Percutaneous coronary revascularization of diabetic patients in the era of drug‐eluting stents. Rev Cardiovasc Med 20056(Suppl 1)S48–S58. [PubMed] [Google Scholar]
- 23.Beckman J A, Creager M A, Libby P. Diabetes and atherosclerosis: epidemiology, pathophysiology, and management. JAMA 20022872570–2581. [DOI] [PubMed] [Google Scholar]
- 24.Yusuf S, Zhao F, Mehta S R.et al Effects of clopidogrel in addition to aspirin in patients with acute coronary syndromes without ST‐segment elevation. N Engl J Med 2001345494–502. [DOI] [PubMed] [Google Scholar]
- 25.Choi D, Kim S K, Choi S H.et al Preventative effects of rosiglitazone on restenosis after coronary stent implantation in patients with type 2 diabetes. Diabetes Care 2004272654–2660. [DOI] [PubMed] [Google Scholar]
- 26.Corpus R A, George P B, House J A.et al Optimal glycemic control is associated with a lower rate of target vessel revascularization in treated type II diabetic patients undergoing elective percutaneous coronary intervention. J Am Coll Cardiol 2004438–14. [DOI] [PubMed] [Google Scholar]
- 27.Bennett M R. In‐stent stenosis: pathology and implications for the development of drug eluting stents. Heart 200389218–224. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Fattori R, Piva T. Drug‐eluting stents in vascular intervention. Lancet 2003361247–249. [DOI] [PubMed] [Google Scholar]
- 29.Dibra A, Kastrati A, Mehilli J.et al Paclitaxel‐eluting or sirolimus‐eluting stents to prevent restenosis in diabetic patients. N Engl J Med 2005353663–670. [DOI] [PubMed] [Google Scholar]
- 30.Cohen D J, Doucet M, Cutlip D E.et al Impact of smoking on clinical and angiographic restenosis after percutaneous coronary intervention: another smoker's paradox? Circulation 2001104773–778. [DOI] [PubMed] [Google Scholar]