Abstract
Background:
The mechanism and characteristics of early and late drug-eluting stent in-stent restenosis (DES-ISR) have not been fully clarified. Whether there are different outcomes among those patients being irrespective of their repeated treatments remain a knowledge gap.
Methods:
A total of 250 patients who underwent initial stent implantation in our hospital, and then were readmitted to receive treatment for the reason of recurrent significant DES-ISR in 2016 were involved. The patients were categorized as early ISR (<12 months; E-ISR; n = 32) and late ISR (≥12 months; L-ISR; n = 218). Associations between patient characteristics and clinical performance, as well as clinical outcomes after a repeated percutaneous coronary intervention (PCI) were evaluated. Primary composite endpoint of major adverse cardiac events (MACEs) included cardiac death, non-fatal myocardial infarction (MI), or target lesion revascularization (TLR).
Results:
Most baseline characteristics are similar in both groups, except for the period of ISR, initial pre-procedure thrombolysis in myocardial infarction, and some serum biochemical indicators. The incidence of MACE (37.5% vs. 5.5%; P < 0.001) and TLR (37.5% vs. 5.0%; P < 0.001) is higher in the E-ISR group. After multivariate analysis, E-ISR (odds ratio [OR], 13.267; [95% CI 4.984–35.311]; P < 0.001) and left ventricular systolic dysfunction (odds ratio [OR], 6.317; [95% CI 1.145–34.843]; P = 0.034) are the independent predictors for MACE among DES-ISR patients in the mid-term follow-up of 12 months.
Conclusions:
Early ISR and left ventricular systolic dysfunction are associated with MACE during the mid-term follow-up period for DES-ISR patients. The results may benefit the risk stratification and secondary prevention for DES-ISR patients in clinical practice.
Keywords: In-stent restenosis, Neointimal hyperplasia, Risk factors, Drug-eluting stent
Introduction
Currently, coronary stenting has been recommended as a primary strategy of revascularization for patients with coronary artery disease.[1,2] Despite the excellent efficacy regarding the reduction of the incidence of in-stent restenosis (ISR) in the era of plain balloon angioplasty and bare metal stents (BMS) implantation, drug-eluting in-stent restenosis (DES-ISR) affects approximately 5% to 10% of the patients undergoing percutaneous coronary intervention (PCI).[3–5] In addition to that, considering the large population treated with DES, treatment of ISR after DES implantation is yet a major challenge.[6] Even though many studies have addressed the incidence, mechanism and optimal treatment of DES-ISR, the prognosis of it, on the other hand, covers a wide range, as DES-ISR is related to worse outcomes than BMS-ISR, which has resulted in the development of treatment strategies including DES or drug coated balloon (DCB).[7,8] These treatment strategies show a varied and abundant body of evidence supporting the utilization in clinical treatment. Nevertheless, it is yet unclear whether the occurrence time of DES-ISR and other risk factors are the bane of poor clinical outcomes following repeated percutaneous coronary intervention (PCI), and a few previous studies in clinical trial settings addressing the issue can not sufficiently reflect the real-word situation.[9–11] Therefore, in the present study, we seek to shed light on the potential relationship between early and late DES-ISR, and identify patients at risk of adverse outcomes during the mid-term follow-up period after repeated PCI.
Methods
Study design and patient selection
This study was approved by the Institution Review Board of Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, and written informed consent was obtained from each patient enrolled in the study. In this retrospective single center study, there were 297 consecutive patients with significant ISR who had initial stent implantation and needed secondary intervention in our center within the entire year of 2016. Forty-seven patients were excluded from the present study for the reasons as follows: ISR lesions resulted from bare metal stent, no need of PCI, and loss to follow-up. Thus, 250 patients requiring PCI for the treatment of DES-ISR were included in this study. The study cohort was divided into two categories of early ISR (<12 months; E-ISR; n = 32) and late ISR (≥12 months; L-ISR; n = 218), depending on the time of ISR after initial DES implantation.
Definitions and PCI
Definitions were mainly proposed based on the Academic Research Consortium criteria.[12] According to the Academic Research Consortium and the third universal definition of MI,[13] the primary endpoint was a major adverse cardiac events (MACEs), defined as a composite of myocardial infarction (MI), cardiovascular death, and target lesion revascularization (TLR). The left ventricular systolic dysfunction was defined as ejection function lower than 50% evaluated by the echocardiography. The intervention strategies were at the discretion of the operators, based on angiographic findings including a >50% diameter stenosis with evidence of myocardial ischemia, such as ischemic symptoms, electrocardiogram changes, elevated cardiac troponin over the standard level and a positive stress test, or a ≥70% diameter stenosis assessed by quantitative coronary angiography (QCA) without either ischemic symptoms. PCI was performed by standard techniques via radial approach in most cases. If patients did not take adequate therapy of long-term aspirin and P2Y12 inhibitors, they were treated with a loaded dose of aspirin (300 mg) and clopidogrel (300 to 600 mg) or ticagrelor (180 mg) at least 24 h before the operation. During PCI, 100 IU/kg of unfractionated heparin was used for anticoagulation. After procedure, aspirin 100 mg per day was continued indefinitely. The recommended treatment duration of clopidogrel (75 mg daily) or ticagrelor (90 mg twice daily) was at least 1 year after the index PCI. Success of PCI was defined as <30% angiographic stenosis and thrombolysis in myocardial infarction (TIMI) flow grade 3 in the culprit vessel after interventions, with patients leaving the cardiac catheterization laboratory alive.[14]
Data collection and clinical follow-up
Detailed data on patients including demographic data, history, clinical presentation, angiographic findings, and in-hospital conditions were obtained from the medical record. Echocardiography and blood samples including biochemical test, blood routine, coagulation and lipid profile were taken at admission. The ratio of neutrophils to lymphocytes in the same blood sample obtained using an automated blood cell counter. Patients were followed on a regular basis. After 12 months of index PCI, a follow-up was organized in the outpatient clinics using a predefined questionnaire, and telephonic contact was also adopted for scheduled review. The validated dataset eventually entered into analysis.
Statistical analysis
Continuous variables were expressed as the mean value ± standard deviation for parametric variables, and median value with range was used for nonparametric variables. Categorical data were expressed as counts and proportions. Comparison of parametric variables between two groups was performed by means of independent samples t test, and Mann-Whitney U test was adopted for nonparametric variables. Categorical variables were compared by the chi-square test or Fisher exact test. Due to the reason that time variables from the secondary PCI to the occurrence of MACE events were not statistically accurate by telephonic contact, survival analysis and Cox regression analysis were not performed. Multiple logistic regression analysis was applied to determine the independent predictors of MACE in all DES-ISR patients during the mid-term follow-up period. A variable which was significant in univariate analysis was included in the analysis as well. Traditional cardiac factors and some potential clinical characteristics in the present study were also included in the multivariate analysis by Forward: LR method. Variables with known prognostic value P < 0.05 (two-sided) were considered statistically significant. All statistical analyses were performed using SPSS version 24.0 software (SPSS Inc., Chicago, IL, USA).
Results
Demographical and baseline characteristics
Among the total study population, 32 patients (12.8%) were categorized as E-ISR and 218 patients (87.2%) were categorized as L-ISR. The very small and disproportionate E-ISR might be owing to the low incidence of DES-ISR and our rigorous selection criteria according to which the patients received only first and second coronary intervention in our center in the year of 2016, and had completed the 1-year follow-up. There were significant differences in the median time interval from initial PCI to index interventions between the E-ISR and L-ISR groups (0.8 years vs. 5.1 years, respectively; P < 0.001). The other baseline clinical characteristics were similar in both groups as summarized in Table 1.
Table 1.
Variables | Early ISR (n = 32) | Late ISR (n = 218) | P |
Age (years) | 58.5 (48.8–63.8) | 61 (54.0–67.0) | 0.103 |
Male | 22 (22.0) | 176 (80.7) | 0.119 |
BMI (kg/m2) | 26.2 (24.0–28.1) | 25.8 (24.1–27.7) | 0.844 |
Diabetes mellitus | 12 (37.5) | 83 (38.1) | 0.950 |
Hypertension | 21 (65.6) | 150 (68.8) | 0.718 |
Dyslipidemia | 26 (81.3) | 196 (89.9) | 0.144 |
Apoplexy | 5 (15.6) | 29 (13.3) | 0.782 |
Atrial fibrillation | 2 (6.3) | 9 (4.1) | 0.637 |
CKD | 1 (3.1) | 4 (1.8) | 0.499 |
Prior MI | 12 (37.5) | 65 (29.8) | 0.379 |
Prior CABG | 1 (3.1) | 7 (3.2) | 1.000 |
Prior surgery | 4 (12.5) | 42 (19.3) | 0.356 |
Peripheral vascular history | 1 (3.1) | 15 (6.9) | 0.702 |
History of smoking | 17 (53.1) | 134 (61.5) | 0.368 |
Smoking within 1 month | 7 (21.9) | 51 (23.4) | 0.849 |
History of drinking | 11 (34.4) | 113 (51.8) | 0.065 |
Family history of CHD | 7 (21.9) | 44 (20.2) | 0.825 |
History of interruption APT | 0 (0) | 24 (11.0) | 0.052 |
Symptoms on admission | 0.088 | ||
Stable angina | 12 (37.5) | 39 (17.9) | – |
Unstable angina | 19 (59.4) | 165 (75.7) | – |
NSTEMI | 1 (3.1) | 8 (3.7) | – |
STEMI | 0 (0) | 6 (2.8) | – |
Killip class >II or NYHA class >II | 10 (31.3) | 100 (45.9) | 0.120 |
Prior PCI counts | 1 (1–2) | 1 (1–2) | 0.929 |
Stent amounts | 3 (2–4) | 2 (1–4) | 0.110 |
Stented vessel counts | 1 (1–2) | 2 (1–2) | 0.639 |
In-hospital time (days) | 5 (3–6) | 4 (3–5) | 0.221 |
Period of ISR (years) | 0.8 (0.5–0.9) | 5.1 (2.4–7.5) | <0.001 |
Data are presented as median (range) or n (%). APT: Antiplatelet therapy; BMI: Body mass index; CABG: Coronary artery bypass grafting; CKD: Chronic kidney disease; DES: Drug-eluting stent; ISR: In-stent restenosis; MI: Myocardial infarction; NSTEMI: Non-ST-segment elevated myocardial infarction; NYHA: New York Heart Association; PCI: Percutaneous coronary intervention; STEMI: ST-segment elevated myocardial infarction.
Echocardiograph and blood sample characteristics
Echocardiographic data were obtained during hospitalization. As shown in Table 2, there were higher rates of regional wall motion abnormality and left ventricular systolic or diastolic dysfunction in the E-ISR group in comparison to the L-ISR patients (9.4% vs. 22.1%, P = 0.095; 0 vs. 4.1%, P = 0.609; 0 vs. 5.1%, P = 0.368). However, there were no differences in left ventricular ejection fraction, left atrial or ventricular diameters between the two groups. In terms of blood profile at admission, the patients in E-ISR group had significantly higher standard of aspartate aminotransferase (AST), alanine aminotransferase (ALT), and erythrocyte sedimentation rate (ESR) (21.5 [19.0–27.5] IU/L vs. 19.0 [16.0–23.0] IU/L, P = 0.029; 30.0 [23.0–41.0] IU/L vs. 23.0 [16.0–33.0] IU/L, P = 0.017; 8.5 [5.0–15.8] mm/h vs. 6.0 [2.0–12.0] mm/h, P = 0.026), whereas low density lipoprotein cholesterol (LDL-C) level tended to be higher in the L-ISR than the E-ISR group (2.0 [1.3–2.4] mmol/L vs. 2.3 [1.8–2.9] mmol/L, P = 0.035). Other laboratory parameters were similar in both groups.
Table 2.
Variables | Early ISR (n = 32) | Late ISR (n = 218) | P value |
LVEF on admission (%) | 63 (60–65) | 63 (60–65) | 0.417 |
Diameter of left atrial (mm) | 35 (33–38) | 36 (34–38) | 0.436 |
Diastolic diameter of left ventricle (mm) | 47.5 (46.3–50) | 48 (45–51) | 0.602 |
Regional wall motion abnormality | 3 (9.4) | 48 (22.1) | 0.095 |
Left ventricular diastolic dysfunction | 0 | 11 (5.1) | 0.368 |
Left ventricular systolic dysfunction | 0 | 9 (4.1) | 0.609 |
WBC (103/μL) | 6.3 (5.0–7.5) | 6.5 (5.3–7.6) | 0.691 |
NLR | 2.2 (1.9–3.0) | 2.3 (1.7–3.1) | 0.973 |
RBC (106/μL) | 4.7 ± 0.5 | 4.8 ± 0.5 | 0.256 |
Hemoglobin (g/L) | 142.7 ± 14.8 | 146.5 ± 14.5 | 0.173 |
PLT (103/μL) | 219 (167–279) | 207.5 (180.3–242.8) | 0.651 |
CK-MB (IU/L) | 11.5 (9–16) | 11 (9–13) | 0.460 |
Serum creatinine max (μmol/L) | 73.5 (63.8–93.9) | 79.4 (71.2–89.7) | 0.258 |
AST (IU/L) | 21.5 (19.0–27.5) | 19.0 (16.0–23.0) | 0.029 |
ALT (IU/L) | 30.0 (23.0–41.0) | 23.0 (16.0–33.0) | 0.017 |
Uric acid (μmol/L) | 343.6 (288.3–412.1) | 345.6 (293.4–404.3) | 0.954 |
Triglyceride (mmol/L) | 1.3 (0.9–2.1) | 1.5 (1.1–1.9) | 0.435 |
Total cholesterol (mmol/L) | 3.5 (3.0–4.1) | 3.8 (3.3–4.7) | 0.105 |
LDL-C (mmol/L) | 2.0 (1.3–2.4) | 2.3 (1.8–2.9) | 0.035 |
HDL-C (mmol/L) | 1.2 (0.9–1.3) | 1.1 (0.9–1.3) | 0.444 |
hsCRP (mg/L) | 1.3 (0.8–3.1) | 1.7 (0.8–2.6) | 0.606 |
ESR (mm/h) | 8.5 (5.0–15.8) | 6.0 (2.0–12.0) | 0.026 |
NT-proBNP (pg/mL) | 97.8 (39.8–308.3) | 88.0 (41.3–156.7) | 0.589 |
HbA1c (%) | 6 (5.6–7.2) | 6.1 (5.7–7.0) | 0.873 |
Glucose (mmol/L) | 5.6 (4.9–7.4) | 5.9 (5.2–7.3) | 0.260 |
Aptt (s) | 35.2 (31.9–37.7) | 34.3 (32.4–37.0) | 0.498 |
INR | 1.0 (0.9–1.0) | 1.0 (0.9–1.0) | 0.426 |
D-dimer (μg/mL) | 0.3 (0.3–0.4) | 0.3 (0.2–0.5) | 0.769 |
Fibrinogen (g/L) | 3.3 (2.9–3.6) | 3.3 (2.8–3.9) | 0.649 |
Data are presented as mean ± standard deviation, n (%) or median (range). ALT: Alanine aminotransferase; Aptt: Activated partial thromboplastin time; AST: Aspartate aminotransferase; CK-MB: Creatine kinase isoenzyme; DES: Drug-eluting stent; ESR: Erythrocyte sedimentation rate; HbA1c: Glycosylated hemoglobin; HDL-C: High-density lipoprotein cholesterol; hsCRP: High sensitivity C reactive protein; INR: International normalized ratio; ISR: In-stent restenosis; LDL-C: Low-density lipoprotein cholesterol; LVEF: Left ventricular ejection fraction; NLR: Ratio of neutrophil to lymphocyte; NT-proBNP: N-terminal pro-B natriuretic peptide; PLT: Platelets; RBC: Red blood cell; WBC: White blood cell.
Characteristics of PCI and clinical outcomes
There were no significant differences in baseline performances and angiographic characteristics between the two groups, except the pre-procedure TIMI flow grade 0 of prior PCI tended to be more in the E-ISR group than the L-ISR group (31.3% vs. 14.7%, P = 0.019). Treatment of DES-ISR and the outcome of index PCI did not differ significantly between the two groups as shown in Table 3. Over the retrospective mid-term follow-up of 12 months after the secondary PCI, the primary endpoint of MACE occurred significantly more frequently in the E-ISR group than the L-ISR group (37.5% vs. 5.5%, P < 0.001). However, the difference in MACE between the two groups was mainly driven by the TLR (37.5% vs. 5.0%, P < 0.001, respectively). In addition, the re-hospitalization rate tended to be higher in the E-ISR group, too. As for the other components of primary endpoint, except only one case of cardiac death happened in the L-ISR group, there was no occurrence in the non-fatal MI, and no significant differences were found between the two groups as summarized in Table 3.
Table 3.
Variables | Early ISR (n = 32) | Late ISR (n = 218) | P value |
Prior PCI characteristics | |||
Single vessel lesion | 5 (15.6) | 46 (21.1) | 0.473 |
Including lesion of LM | 3 (9.4) | 8 (3.7) | 0.154 |
Calcific lesions | 15 (46.9) | 121 (55.5) | 0.360 |
Pre-Procedure TIMI flow grade∗ | |||
0 | 10 (31.3) | 32 (14.7) | 0.019 |
1–2 | 5 (15.6) | 34 (15.6) | 1.000 |
3 | 17 (53.1) | 150 (68.8) | 0.079 |
Post-procedural TIMI flow grade 3 | 32 (100) | 218 (100) | – |
Residual stenosis >30% | 0 | 1 (0.5) | 1.000 |
Complication | 0 | 1 (0.5) | 1.000 |
Treatment for ISR | 0.652 | ||
Implanting stent | 22 (68.8) | 141 (64.7) | – |
Balloon angioplasty | 10 (31.2) | 77 (35.3) | – |
Presentation with MI | 1 (3.1) | 14 (6.4) | 0.701 |
Outcome of index PCI | 0.615 | ||
Success | 30 (93.8) | 207 (95.0) | – |
Part success | 1 (3.1) | 8 (3.7) | – |
Failure | 1 (3.1) | 3 (1.4) | – |
Follow-up at 12 months | |||
Re-hospitalization | 12 (37.5) | 16 (7.3) | <0.001 |
MACE events | 12 (37.5) | 12 (5.5) | <0.001 |
Cardiac death | 0 | 1 (0.5) | 1.000 |
Non-fatal MI | 0 | 0 | – |
Target lesion revascularization | 12 (37.5) | 11 (5.0) | <0.001 |
Stent thrombosis | 0 | 1 (0.5) | 1.000 |
There were two cases in late ISR lacking the pre-TIMI flow grade. Data are presented as n (%). DES: Drug-eluting stent; ISR: In–stent restenosis; LM: Left main coronary artery; MACE: Major adverse cardiac events; PCI: Percutaneous coronary intervention; TIMI: Thrombolysis in myocardial infarction.
Multivariate analysis and predictors
Logistic regression analysis was performed to determine the independent predictors of MACE during the mid-term follow-up period in DES-ISR patients. The characteristics variables comprised of traditional cardiovascular disease risk factors, such as hypertension, hyperlipidemia, diabetes mellitus, and other clinical features including early/late ISR, age, gender, BMI, CKD, history of smoking, presentation with MI, echocardiographic features, neutrophils to lymphocytes ratio, ESR, implanting stent, and the success of index PCI were included into multivariate logistic analysis using the Forward: LR method. As shown in Table 4, the E-ISR (odds ratio [OR], 13.267; 95% confidence interval [CI] 4.984–35.311; P < 0.001) and left ventricular systolic dysfunction (odds ratio [OR], 6.317; 95% confidence interval [CI] 1.145–34.843; P = 0.034) were performed as independent risk factors of MACE during the mid-term follow-up in DES-ISR patients.
Table 4.
Variables | OR | 95% CI | P value |
Age | 0.982 | 0.942–1.023 | 0.382 |
Male | 0.998 | 0.354–2.812 | 0.997 |
BMI | 1.000 | 0.878–1.140 | 0.996 |
Early ISR | 10.300 | 4.095–25.910 | <0.001 |
Hypertension | 0.916 | 0.375–2.240 | 0.848 |
Hyperlipidemia | 0.871 | 0.242–3.129 | 0.832 |
Diabetes mellitus | 0.646 | 0.257–1.620 | 0.351 |
CKD | – | – | 0.999 |
History of smoking | 0.754 | 0.323–1.757 | 0.512 |
Presentation with MI | 0.658 | 0.083–5.238 | 0.693 |
Left ventricular diastolic dysfunction | – | – | 0.999 |
Left ventricular systolic dysfunction | 2.980 | 0.581–15.269 | 0.190 |
NLR | 0.795 | 0.503–1.257 | 0.327 |
ESR | 0.992 | 0.948–1.038 | 0.720 |
Implanting stent | 0.723 | 0.307–1.704 | 0.459 |
Success of index PCI | 0.324 | 0.083–1.270 | 0.106 |
95% CI: 95% confidence interval; BMI: Body mass index; CKD: Chronic kidney disease; DES: Drug-eluting stent; ESR: Erythrocyte sedimentation rate; ISR: In-stent restenosis; MACE: Major adverse cardiac events; MI: Myocardial infarction; NLR: Ratio of neutrophil to lymphocyte; OR: Odds ratio; PCI: Percutaneous coronary intervention.
Discussion
To the best of our knowledge, this study is among the first to explore clinical characteristics between early and late DES-ISR, as well as predictors for the mid-term MACE in DES-ISR after repeated PCI in a real world situation, irrespective of the type of treatment adopted for DES-ISR. The main findings are as follows: (1) Baseline characteristics of the study between the E-ISR and L-ISR groups are almost similar except some laboratory parameters and prior TIMI flow. (2) Compared to the patients in L-ISR group, the patients in the E-ISR group suffer significantly more MACE in mid-term clinical follow-up, mainly driven by a higher proportion of TLR. (3) The early ISR and left ventricular systolic dysfunction are found as independent risk factors of MACE over the mid-term follow-up in DES-ISR patients after repeated PCI.
Restenosis remains one of the clinical intractable and unresolved issues. Treatment of patients with DES-ISR is more challenging than that of patients with BMS-ISR.[10,15,16] DES-ISR is characterized by delayed vessel healing due to the stent components such as the durable polymer which has a time lag presentation typically after 2 years as compared to BMS-ISR which is typically approximately 6 to 8 months to present.[17] Vascular injury and ensued inflammation in the intima induces the initial stimuli for vascular smooth muscle (SMC) proliferation and activation, and, consequently, the SMC and myofibroblast migrate form an extracellular matrix (ECM) and neointimal layer covered by the endothelial cell over the stented segment.[18,19] Those complicated pathogenic processes result in variable time of onset and characteristics in DES-ISR. Some studies even have found that DES-ISR has a predominantly focal morphological pattern, with onset after 6 to 9 months and increasing up to 2 years after stent implantation.[20,21] In our study, there is a short interval of duration of period of ISR from 0.5 to 0.9 years in the early DES-ISR group. Also, there is a long interval from 2.4 to 7.5 years in the late DES-ISR group. Multifarious neoatherosclerosis could be a mechanism for the different clinical outcomes after repeated PCI, and this may relate to risk factor control rather than a function of procedure. Hence, it may also confound our observation study.
Intravascular imaging by optical coherence technology (OCT) has given further insight into the significant differences between lesion morphological characteristics of early and late ISR. There are predominantly heterogeneous tissue patterns and higher incidence of neoatherosclerosis in late DES-ISR.[22,23] In contrast, the primary OCT finding in early DES-ISR is reported to be homogeneous backscatter, which is related to the neointima rich in SMC.[22,24] The occurrence of neoatherosclerosis is independently associated to the time interval after stent implantation, and neoatherosclerosis has been a novel underlying substrate of DES-ISR happened up to one of six patients presenting with ISR.[25] Furthermore, DES-ISR with neoatherosclerosis has also been reported to cause poorer acute results after intervention. However, in the current study, we find a significantly higher MACE event in early DES-ISR patients, mainly driven by higher TLR rates, which is in line with a recent report by Koch et al[26] where clinical outcomes at 12 months after treatment of DES-ISR with DCB showed significantly higher clinical event rates in patients with early DES-ISR as compared to those with late DES-ISR. Concerning the underlying substrate of early ISR found by OCT, neointimal proliferation might contribute predominantly to the cause of worse outcomes. On the one hand, the reason of higher MACE in early ISR could be the earlier ISR. Stent underexpansion, if uncorrected by appropriate stent upsizing, could entail the higher re-re ISR and MACE event. Although the PSP technology, known as “Prepare lesion, Size appropriately, Post-dilate”, has been well carried out as a routine in our center, the lack of invasive imaging which is too expensive to guide treatment for primary PCI could impact on the higher adverse events. On the other hand, it can also be deduced that the increasing incidences of MACE in E-ISR group could be related to modification of ECM and neointima, which has been accelerating neoatherosclerosis process. Permeability of plasma lipoproteins is usually regarded as the most probable mechanism to accelerate neoatherosclerosis, and larger ECM accumulation binding between lipoprotein and proteoglycans is another likely contributor to the promotion of neoatherosclerosis.[27,28] The serum lipid profile might affect the neointimal plaque characteristics and outcomes after PCI. In accordance with previous OCT studies which have found a lower cholesterol level and heterogeneous intima in the E-ISR group,[23,29] our data also show that low-density lipoprotein cholesterol (LDL-C) concentrations differ significantly between the E-ISR and L-ISR groups (2.0 [1.3–2.4] mmol/L vs. 2.3 [1.8–2.9] mmol/L, P = 0.035), and the total cholesterol (TC) tends to be numerically higher in the L-ISR group than the E-ISR group (3.8 [3.3–4.7] mmol/L vs. 3.5 [3.0–4.1] mmol/L, respectively, P = 0.105). However, the hyperlipidemia does not perform as the risk factor of MACE after multivariate analysis in the present study.
Magalhaes et al[30] found that 66.7% of patients presenting with DES-ISR requiring target vessel revascularization had ACS and the incidence of myocardial infarction was 5.2%. Similarly, unstable angina in 59.4% of the E-ISR patients and 75.7% of the L-ISR patients is the main presentation of DES-ISR patients in the current study. In addition, a few patients perform as MI at admission, and the patients with prior MI have no distinct difference in both groups (37.5% vs. 29.8%, P = 0.379). The factors that influence the ISR can be divided into five categories: patient, lesion, mechanical, pharmacological and biological factors.[31] When it comes to the repeated DES-ISR outcomes, something has changed. Paramasivam et al[32] reported that among the clinical and lesion related parameters, age, chronic kidney disease and presentation with MI were related to poor outcomes following DES-ISR. Different from the present study, the aforementioned study did not consider the factor of time interval from stent implantation to ISR. However, there is a pool analysis study similar to the current study that has revealed only early-ISR and clinical presentation with NSTE-ACS as independent predictor of MACE.[26] Moreover, in this study, we find that echocardiographic trait of left ventricular systolic dysfunction and early DES-ISR are independent risk predictors of MACE during the mid-term follow-up in DES-ISR patients. Changes in the structure of the left ventricle during the contractile cycle from end-diastole to end-systole play an important role in the optimization of the cardiac pumping function.[33] It is well known that heart diseases lead to apparent changes in the functional geometry of left ventricle and spatial-temporal coordination of its components resulting from the molecular and cellular remodeling of myocardium.[34] In principle, all cardiac structures are involved in the process of ISR, and the abnormal left ventricle systolic function might be an epitome of damaged and poor cardiac function. Given the association between cardiac dysfunction and poor outcome, it is interesting to find that left systolic dysfunction could be served as risk predictor of subsequent clinical adverse events. However, the mechanism of this relationship could not be further clarified, and more studies are needed in the future. Although the underlying mechanism resulting in these findings remains to be resolved, the early DES-ISR patients seem to be taken care of with an increased clinical surveillance, irrespective of current treatment strategies.
Due to the nature of this single center retrospective cohort, some confounding factors may influence the results. Therefore, the findings should be considered as hypothesis generating. This study has several limitations that should be acknowledged. First, the small sample size and lack of some extensive details such as stent or balloon types of treatment in the current study might not be enough to impact on the strength of observations. Also, the use of telephonic contact when obtaining the information of the follow-up might not be reliable enough, as we could not get their hospital record to further prove the adverse events. In addition to that, although this study mainly focuses on the mid-term prognosis of DES-ISR to help discriminate those high-risk patients of MACE, the mechanism of the pathological process yet remains unknown. Finally, on account of the lack of intravascular imaging data, we fail to provide further insight changes of those DES-ISR patients. Especially, the characteristics and underlying substrates of DES-ISR need to be clarified in pathology and pathophysiology.
To summarize the current study, the incidence of MACE is higher in the E-ISR group than the L-ISR group. E-ISR and left ventricular systolic dysfunction are associated with the poor outcome during the mid-term follow-up. The results may benefit the risk stratification and secondary prevention for DES-ISR patients in clinical practice.
Acknowledgements
In this study, we are grateful to the Department of Cardiology, Cardiovascular Institute of Fuwai Hospital for its help in recruiting patients. We thank all members who contributed to the study.
Conflicts of interest
None.
Footnotes
How to cite this article: Zheng JF, Guo TT, Tian Y, Wang Y, Hu XY, Chang Y, Qiu H, Dou KF, Tang YD, Yuan JQ, Wu YJ, Yan HB, Qiao SB, Xu B, Yang YJ, Gao RL. Clinical characteristics of early and late drug-eluting stent in-stent restenosis and mid-term prognosis after repeated percutaneous coronary intervention. Chin Med J 2020;133:2674–2681. doi: 10.1097/CM9.0000000000001135
References
- 1.Cui KY, Lyu SZ, Zhang M, Song XT, Yuan F, Xu F. Drug-eluting balloon versus new-generation drug-eluting stent for the treatment of in-stent restenosis: an updated systematic review and meta-analysis. Chin Med J 2018; 131:600–607. doi: 10.4103/0366-6999.226073. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Serruys PW, de Jaegere P, Kiemeneij F, Macaya C, Rutsch W, Heyndrickx G, et al. A comparison of balloon-expandable-stent implantation with balloon angioplasty in patients with coronary artery disease. Benestent Study Group. N Engl J Med 1994; 331:489–495. doi: 10.1056/NEJM199408253310801. [DOI] [PubMed] [Google Scholar]
- 3.Stettler C, Wandel S, Allemann S, Kastrati A, Morice MC, Schomig A, et al. Outcomes associated with drug-eluting and bare-metal stents: a collaborative network meta-analysis. Lancet 2007; 370:937–948. doi: 10.1016/S0140-6736(07)61444-5. [DOI] [PubMed] [Google Scholar]
- 4.Wohrle J, Nusser T, Kestler HA, Kochs M, Hombach V. Comparison of the slow-release polymer-based paclitaxel-eluting Taxus-Express stent with the bare-metal Express stent for saphenous vein graft interventions. Clin Res Cardiol 2007; 96:70–76. doi: 10.1007/s00392-006-0460-1. [DOI] [PubMed] [Google Scholar]
- 5.Dangas GD, Claessen BE, Caixeta A, Sanidas EA, Mintz GS, Mehran R. In-stent restenosis in the drug-eluting stent era. J Am Coll Cardiol 2010; 56:1897–1907. doi: 10.1016/j.jacc.2010.07.028. [DOI] [PubMed] [Google Scholar]
- 6.Stolker JM, Kennedy KF, Lindsey JB, Marso SP, Pencina MJ, Cutlip DE, et al. Predicting restenosis of drug-eluting stents placed in real-world clinical practice: derivation and validation of a risk model from the EVENT registry. Circ Cardiovasc Interv 2010; 3:327–334. doi: 10.1161/circinterventions.110.946939. [DOI] [PubMed] [Google Scholar]
- 7.Alfonso F, Byrne RA, Rivero F, Kastrati A. Current treatment of in-stent restenosis. J Am Coll Cardiol 2014; 63:2659–2673. doi: 10.1016/j.jacc.2014.02.545. [DOI] [PubMed] [Google Scholar]
- 8.Latib A, Mussardo M, Ielasi A, Tarsia G, Godino C, Al-Lamee R, et al. Long-term outcomes after the percutaneous treatment of drug-eluting stent restenosis. JACC Cardiovasc Interv 2011; 4:155–164. doi: 10.1016/j.jcin.2010.09.027. [DOI] [PubMed] [Google Scholar]
- 9.Xu B, Gao R, Wang J, Yang Y, Chen S, Liu B, et al. A prospective, multicenter, randomized trial of paclitaxel-coated balloon versus paclitaxel-eluting stent for the treatment of drug-eluting stent in-stent restenosis: results from the PEPCAD China ISR trial. JACC Cardiovasc Interv 2014; 7:204–211. doi: 10.1016/j.jcin.2013.08.011. [DOI] [PubMed] [Google Scholar]
- 10.Alfonso F, Perez-Vizcayno MJ, Cuesta J, Garcia Del Blanco B, Garcia-Touchard A, Lopez-Minguez JR, et al. 3-Year clinical follow-up of the RIBS IV clinical trial: a prospective randomized study of drug-eluting balloons versus everolimus-eluting stents in patients with in-stent restenosis in coronary arteries previously treated with drug-eluting stents. JACC Cardiovasc Interv 2018; 11:981–991. doi: 10.1016/j.jcin.2018.02.037. [DOI] [PubMed] [Google Scholar]
- 11.Baan J, Jr, Claessen BE, Dijk KB, Vendrik J, van der Schaaf RJ, Meuwissen M, et al. A randomized comparison of paclitaxel-eluting balloon versus everolimus-eluting stent for the treatment of any in-stent restenosis: the DARE trial. JACC Cardiovasc Interv 2018; 11:275–283. doi: 10.1016/j.jcin.2017.10.024. [DOI] [PubMed] [Google Scholar]
- 12.Garcia-Garcia HM, McFadden EP, Farb A, Mehran R, Stone GW, Spertus J, et al. Standardized end point definitions for coronary intervention trials: the academic research consortium-2 consensus document. Circulation 2018; 137:2635–2650. doi: 10.1161/circulationaha.117.029289. [DOI] [PubMed] [Google Scholar]
- 13.Taylor J. Third universal definition of myocardial infarction. Eur Heart J 2012; 33:2506–2507. doi: 10.1093/eurheartj/ehs296. [DOI] [PubMed] [Google Scholar]
- 14.Yeo KK, Mahmud E, Armstrong EJ, Bennett WE, Shunk KA, MacGregor JS, et al. Contemporary clinical characteristics, treatment, and outcomes of angiographically confirmed coronary stent thrombosis: results from a multicenter California registry. Catheter Cardiovasc Interv 2012; 79:550–556. doi: 10.1002/ccd.23011. [DOI] [PubMed] [Google Scholar]
- 15.Alfonso F, Perez-Vizcayno MJ, Cardenas A, Garcia Del Blanco B, Seidelberger B, Iniguez A, et al. A randomized comparison of drug-eluting balloon versus everolimus-eluting stent in patients with bare-metal stent-in-stent restenosis: the RIBS V Clinical Trial (Restenosis Intra-stent of Bare Metal Stents: paclitaxel-eluting balloon vs. everolimus-eluting stent). J Am Coll Cardiol 2014; 63:1378–1386. doi: 10.1016/j.jacc.2013.12.006. [DOI] [PubMed] [Google Scholar]
- 16.Alfonso F, Perez-Vizcayno MJ, Cardenas A, Garcia del Blanco B, Garcia-Touchard A, Lopez-Minguez JR, et al. A prospective randomized trial of drug-eluting balloons versus everolimus-eluting stents in patients with in-stent restenosis of drug-eluting stents: the RIBS IV randomized clinical trial. J Am Coll Cardiol 2015; 66:23–33. doi: 10.1016/j.jacc.2015.04.063. [DOI] [PubMed] [Google Scholar]
- 17.Collet CA, Costa JR, Abizaid A, Chamie D, Staico R, Costa R, et al. Assessing the temporal course of neointimal hyperplasia formation after different generations of drug-eluting stents. JACC Cardiovasc Interv 2011; 4:1067–1074. doi: 10.1016/j.jcin.2011.07.010. [DOI] [PubMed] [Google Scholar]
- 18.Kim MS, Dean LS. In-stent restenosis. Cardiovasc Ther 2011; 29:190–198. doi: 10.1111/j.1755-5922.2010.00155.x. [DOI] [PubMed] [Google Scholar]
- 19.Scott NA. Restenosis following implantation of bare metal coronary stents: pathophysiology and pathways involved in the vascular response to injury. Adv Drug Deliv Rev 2006; 58:358–376. doi: 10.1016/j.addr.2006.01.015. [DOI] [PubMed] [Google Scholar]
- 20.Cosgrave J, Melzi G, Biondi-Zoccai GG, Airoldi F, Chieffo A, Sangiorgi GM, et al. Drug-eluting stent restenosis the pattern predicts the outcome. J Am Coll Cardiol 2006; 47:2399–2404. doi: 10.1016/j.jacc.2006.02.046. [DOI] [PubMed] [Google Scholar]
- 21.Pal N, Din J, O’Kane P. Contemporary management of stent failure: part one. Interv Cardiol 2019; 14:10–16. doi: 10.15420/icr.2018.39.1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Jinnouchi H, Kuramitsu S, Shinozaki T, Tomoi Y, Hiromasa T, Kobayashi Y, et al. Difference of tissue characteristics between early and late restenosis after second-generation drug-eluting stents implantation- an optical coherence tomography study. Circ J 2017; 81:450–457. doi: 10.1253/circj.CJ-16-1069. [DOI] [PubMed] [Google Scholar]
- 23.Song L, Mintz GS, Yin D, Yamamoto MH, Chin CY, Matsumura M, et al. Characteristics of early versus late in-stent restenosis in second-generation drug-eluting stents: an optical coherence tomography study. EuroIntervention 2017; 13:294–302. doi: 10.4244/EIJ-D-16-00787. [DOI] [PubMed] [Google Scholar]
- 24.Kufner S, Xhepa E, Lutter C, Cassese S, Joner M. Optical coherence tomography in drugeluting stent restenosis: a technique in need of a strategy. Minerva Cardioangiol 2017; 65:61–67. doi: 10.23736/S0026-4725.16.04241-9. [DOI] [PubMed] [Google Scholar]
- 25.Garcia-Guimaraes M, Antuna P, Maruri-Sanchez R, Vera A, Cuesta J, Bastante T, et al. Calcified neoatherosclerosis causing in-stent restenosis: prevalence, predictors, and implications. Coron Artery Dis 2019; 30:1–8. doi: 10.1097/MCA.0000000000000669. [DOI] [PubMed] [Google Scholar]
- 26.Koch T, Cassese S, Xhepa E, Mayer K, Tolg R, Hoppmann P, et al. Efficacy of drug-coated balloon angioplasty in early versus late occurring drug-eluting stent restenosis: A pooled analysis from the randomized ISAR DESIRE 3 and DESIRE 4 trials. Catheter Cardiovasc Interv 2019; doi: 10.1002/ccd.28638. [DOI] [PubMed] [Google Scholar]
- 27.Boren J, Lee I, Zhu W, Arnold K, Taylor S, Innerarity TL. Identification of the low density lipoprotein receptor-binding site in apolipoprotein B100 and the modulation of its binding activity by the carboxyl terminus in familial defective apo-B100. J Clin Invest 1998; 101:1084–1093. doi: 10.1172/JCI1847. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Flood C, Gustafsson M, Richardson PE, Harvey SC, Segrest JP, Boren J. Identification of the proteoglycan binding site in apolipoprotein B48. J Biol Chem 2002; 277:32228–32233. doi: 10.1074/jbc.M204053200. [DOI] [PubMed] [Google Scholar]
- 29.Lee JH, Jung HW, Kim JS, Hong SJ, Ahn CM, Kim BK, et al. Different neointimal pattern in early vs. late in-stent restenosis and clinical outcomes after drug-coated balloon angioplasty- an optical coherence tomography study. Circ J 2018; 82:2745–2752. doi: 10.1253/circj.CJ-18-0619. [DOI] [PubMed] [Google Scholar]
- 30.Magalhaes MA, Minha S, Chen F, Torguson R, Omar AF, Loh JP, et al. Clinical presentation and outcomes of coronary in-stent restenosis across 3-stent generations. Circ Cardiovasc Interv 2014; 7:768–776. doi: 10.1161/circinterventions.114.001341. [DOI] [PubMed] [Google Scholar]
- 31.Kastrati A, Schomig A, Elezi S, Schuhlen H, Dirschinger J, Hadamitzky M, et al. Predictive factors of restenosis after coronary stent placement. J Am Coll Cardiol 1997; 30:1428–1436. doi: 10.1016/s0735-1097(97)00334-3. [DOI] [PubMed] [Google Scholar]
- 32. Paramasivam G, Devasia T, Jayaram A, U KA, Rao MS, Vijayvergiya R, et al. In-stent restenosis of drug-eluting stents in patients with diabetes mellitus: Clinical presentation, angiographic features, and outcomes. Anatol J Cardiol 2020;23:28–34. doi: 10.14744/AnatolJCardiol.2019.72916. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Sengupta PP, Korinek J, Belohlavek M, Narula J, Vannan MA, Jahangir A, et al. Left ventricular structure and function: basic science for cardiac imaging. J Am Coll Cardiol 2006; 48:1988–2001. doi: 10.1016/j.jacc.2006.08.030. [DOI] [PubMed] [Google Scholar]
- 34.Chumarnaya TV, Alueva YS, Kochmasheva VV, Mihailov SP, Revishvili AS, Tsyv’ian PB, et al. Features of the left ventricular functional geometry in patients with myocardial diseases with varying degrees of systolic dysfunction. Bull Exp Biol Med 2016; 162:30–34. doi: 10.1007/s10517-016-3537-5. [DOI] [PubMed] [Google Scholar]