Association between periprocedural myocardial injury and neointimal characteristics in patients with in-stent restenosis: an optical coherence tomography study
Highlight box
Key findings
• Intra-intimal microvessels and intra-stent plaque rupture (PR) correlated with periprocedural myocardial injury (PMI) in patients with in-stent restenosis (ISR).
What is known and what is new?
• PMI was mainly reported in stable coronary artery disease. Previous studies have shown that intimal characteristics identified by optical coherence tomography (OCT) were associated with PMI.
• In patients with ISR, intra-intimal microvessels and intra-stent PR identified by OCT may prevent those patients from occurring PMI.
What is the implication, and what should change now?
• The study found that intra-intimal microvessels and intra-stent PR were independently associated with PMI, which may provide a strategy for the prevention of PMI.
Introduction
Background
Iterations of drug-eluting stent (DES) technology have obviously decreased the frequency of in-stent restenosis (ISR), significantly improving the efficacy and safety of percutaneous coronary interventions (PCI) (1). In a nationwide registry study, the ratio of occurrence of ISR is still high (2). The current European guidelines recommend either DES or drug-coated balloon (DCB) as a Class I indication to treat ISR (3). However, not a few patients have occurred periprocedural myocardial injury (PMI).
Rationale and knowledge gap
In clinical practice, high-sensitivity troponin (hs-cTn) is used as the main biomarker for detecting myocardial injury because of its high sensitivity and specificity. PMI is defined as the increase in cardiac biomarker levels by over five-fold above the upper reference limit (URL) (4), which has been mainly reported in stable coronary artery disease (CAD) (5-7). Moreover, reports on the prognostic impact of PMI on CAD patients seemed conflicting (5-8). Previous imaging studies have investigated the association between intimal characteristics and PMI and found that thin-cap fibroatheroma (TCFA) or large necrotic cores and calcium had influence on PMI (9,10). Another imaging study explored the effect of tissue morphological characteristics of ISR on the incidence of PMI, indicating that neointimal heterogeneity, or neoatherosclerotic changes had no association with the occurrence of PMI (11).
Objective
However, there is a lack of study on the relevance of PMI and neointimal characteristics of ISR by using optical coherence tomography (OCT). Therefore, the aim of this study was to investigate the association between the occurrence of PMI and neointimal characteristics of ISR by using OCT. We present this article in accordance with the STROBE reporting checklist (available at https://cdt.amegroups.com/article/view/10.21037/cdt-23-390/rc).
Methods
Study population and definition
A total of 564 patients with ISR admitted to the Affiliated Hospital of Zunyi Medical University between October 2018 and October 2022 were retrospectively collected. Patients without OCT guidance (n=312), poor OCT image quality (n=5), balloon pre-dilatation before OCT examination (n=8) and absence of patients’ demographic data or high-sensitivity troponin T (hs-cTnT) after PCI (n=42) were excluded. Considering that the hs-cTnT levels are time-dependent in patients with acute myocardial infarction, patients with non-ST-elevation myocardial infarction (non-STEMI) (n=34) and STEMI (n=23) were excluded. Ultimately, a total of 140 patients with 140 lesions whose baseline hs-cTnT were normal were included in the final analysis (Figure 1). All the 140 patients were treated with DCB or DES, which was up to the discretion of the interventional cardiologist. PMI was defined according to the criteria of the 4th universal definition of myocardial infarction (4). The patients whose hs-cTnT levels increased five times above the URL were considered as PMI. The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). The study was approved by the Ethics Committee of the Affiliated Hospital of Zunyi Medical University [No. ZMU (2022)1-177] and individual consent for this retrospective analysis was waived.
Data collection and definition
The demographic data of patients, including age, sex, coronary risk factors, laboratory data, past medicines use, time from stents implantation to ISR and underlying stent type were collected by an experienced physician (Y.D.) between May 2022 and August 2022 from electronic medical record systems. The underlying stent type was based on the medical records provided by patients or the interventional cardiologist’s estimation according to the time of stents implantation when the medical records cannot be offered. Therefore, blood samples for hs-cTnT measurements were collected in tubes containing lithium-heparin anticoagulant before the procedure (the first early morning of the patient’s admission), 6 h after PCI, and on a daily basis thereafter during the hospital stay (usually 48 h). The 99th percentile URL is 14 ng/L. Baseline and peak post-procedural hs-cTnT were used for the current analysis.
For the diagnosis of hypertension, a patient must have a systolic blood pressure of ≥140 mmHg or diastolic blood pressure of ≥90 mmHg or current use of anti-hypertensive treatment. A patient diagnosed with diabetes mellitus must meet at least one of the following criteria: documented history of diabetes mellitus, use of hypoglycemic agents, fasting glucose ≥7.0 mmol/L, 2-h plasma glucose value ≥11.1 mmol/L in the 75-g oral glucose tolerance test (OGTT), classic symptom with casual plasma glucose level ≥11.1 mmol/L, or hemoglobin A1c (HbA1c) ≥6.5% (12). Dyslipidemia was defined as triglycerides level ≥1.7 mmol/L, total cholesterol (TC) level ≥5.0 mmol/L, low-density lipoprotein cholesterol (LDL-C) level ≥3 mmol/L, high-density lipoprotein cholesterol (HDL-C) ≤1.2 mmol/L, or taking medication for dyslipidemia (13). Chronic kidney disease (CKD) was defined as an estimated glomerular filtration rate (eGFR) of <60 mL/min/1.73 m2, and the eGFR was calculated by using the 2009 Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation (14).
Angiographic analysis
Coronary angiography (CAG) was performed using either the transradial or transfemoral approach, employing a 6F or 7F sheath. Coronary angiography analysis was performed using the software (Artis VC21C, Siemens AG, Berlin, Germany). Angiographic classifications of ISR were based on Mehran’s classification (15), patterns of ISR were classified as type I, focal (lesions ≤10 mm); type II, diffuse in-stent (lesions >10 mm, confined to the stent); type III, diffuse proliferative (lesions >10 mm, beyond the stent edge); and type IV (total occlusion). Proximal and distal reference diameters, minimal luminal diameter, and percent diameter stenosis were calculated by an experienced physician (Z.L.) who was blinded to the clinical characteristics. All these patients were treated with DES (cobalt rapamycin DES, Shanghai Microport NeruoTech, Shanghai, China; cobalt rapamycin DES, Lepu, Beijing, China; platinum-chromium everolimus DES; Boston Scientific, Marlborough, MA, USA) or DCB (paclitaxel-coated balloon; B. Braun, Melsungen, Germany; SHENQI, Shanghai, China; Cardionovum, Grandpharma, Wuhan, China).
OCT image acquisition and analysis
A commercially available frequency-domain OCT system (C7XR, Illumien or Illumien Optis) was used to perform OCT image by an interventional cardiologist as previously described (16). Characterization of the neointimal tissue and quantitative OCT assessments of the neointima were performed at the minimal lumen area (MLA) site as well as at the five preceding and following analyzed frames. The reference site for analysis was determined as the area with the largest lumen area either proximal or distal to the stenosis. Semiautomatic measurements were performed to determine the reference lumen diameter, area of the proximal or distal site, and area stenosis (AS). The profiles of the stent and lumen were manually traced.
Neointimal tissues were categorized as homogeneous or heterogeneous. The homogeneous neointimas were characterized by high backscattering regions and no local signal attenuation. The heterogeneous neointimas were characterized by low signal regions with local signal attenuation. Lipid rich plaque (LRP) was defined as high backscattering regions with blurred edges and the fibrous caps with high-signal bands on the surface of low-signal areas. In-stent neoatherosclerosis (ISNA) was identified must meet the following criteria: macrophage infiltration and/or lipid-laden tissue within the stent or neointimal calcification (17). TCFA was defined as an LRP with the thinnest part of the fibrous cap <65 µm and an angle of lipidic tissue >180° (18). Calcification was defined as the presence of a sharp edge with a low signal or an uneven area. Cholesterol crystals were identified as thin linear area with highly backscattering regions without remarkable backward shadowing (18). Intra-stent plaque rupture (PR) was identified as the disruption of the fibrous cap with obvious cavity formation. Microvessels were defined as non-signal tubulo luminal structures without a connection to the vessel lumen recognized on more than three consecutive cross-sectional OCT images. The thrombi were categorized as red or white; a red thrombus was defined as highly backscattering region with high attenuation, and a white thrombus was defined as less backscattering and homogeneous region with low attenuation (19). Lipid length and lipid arc were measured on the longitudinal reconstructed view and the cross-sectional image, respectively. Lipid index was defined as the product of mean lipid arc multiplied by lipid length. The typical OCT images were shown in Figure 2. All OCT images were analyzed by an experienced physician (Z.L.) who was blinded to the clinical information, PCI procedure characteristics and angiographic findings.
Statistical analysis
Since this study was a retrospective study, the sample size was based on practical considerations. Continuous variables were presented as mean ± standard deviation (SD) for normally distributed data and were compared using independent samples t-test; data were expressed as median (25th–75th percentiles) when abnormally distributed and compared using the Mann-Whitney U test between two groups. Categorical variables were presented as number (%) and were compared using the χ2 test or Fisher’s exact test when any expected frequency of the contingency table was <5. Variables with a P value of <0.2 in the univariable analysis were included in the multivariable model. Multivariable logistic regression analysis was used to identify the independent predictors of PMI. Statistical significance was set at a two-sided P value of <0.05. Statistical analyses were performed using the SPSS version 26.0 software (IBM, Armonk, NY, USA).
Results
Clinical characteristics and angiographic findings
A total of 140 patients with 140 lesions were divided into PMI and non-PMI groups according to the definition above. Baseline clinical and angiographic characteristics are shown in Tables 1,2. Fifty-three patients (37.9%) encounter PMI during revascularization for ISR. A total of 116 (82.9%) men and 24 (17.1%) women were included, and the median age of the patients was 65 (57 to 72) years. The concentration of N-terminal pro-B-type natriuretic peptide (NT-proBNP) was lower in the PMI group than in the non-PMI group [281 (112.5, 1,259.0) vs. 133.3 (79.2, 469.0), P=0.022]. Among the 140 patients, 64 (45.7%) patients were treated with DES and 76 (54.3%) patients were treated with DCB. The prevalence of slow flow in patients with PMI was higher than those without PMI. There were no significant differences in coronary risk factors, laboratory data (except NT-proBNP levels) and angiographic findings between the two groups.
Table 1
Variables | Total (n=140) | Non-PMI (n=87) | PMI (n=53) | P value |
---|---|---|---|---|
Age, years | 65.0 (57.0, 72.0) | 67.0 (58.5, 72.5) | 63.0 (53.5, 72.0) | 0.160 |
Male | 116 (82.9) | 71 (81.6) | 45 (84.9) | 0.616 |
LVEF, % | 52.3±10.8 | 51.0±10.8 | 54.8±10.5 | 0.057 |
Heart rate | 76.5±12.7 | 76.1±12.0 | 77.1±13.8 | 0.642 |
SBP, mmHg | 129.4±20.0 | 130.9±21.3 | 127.0±17.7 | 0.263 |
DBP, mmHg | 78.0±12.1 | 77.2±11.9 | 79.3±12.4 | 0.331 |
Coronary risk factors | ||||
Hypertension | 85 (60.7) | 56 (64.4) | 29 (54.7) | 0.257 |
Diabetes mellitus | 33 (23.6) | 23 (26.4) | 10 (18.9) | 0.306 |
Dyslipidemia | 38 (27.1) | 21 (24.1) | 17 (32.1) | 0.306 |
CKD | 34 (24.3) | 23 (26.4) | 11 (20.8) | 0.447 |
Stroke | 6 (4.3) | 4 (4.6) | 2 (3.8) | 0.710 |
Smoking | 68 (48.6) | 43 (49.4) | 25 (47.2) | 0.796 |
Previous MI | 40 (28.6) | 24 (27.6) | 16 (30.2) | 0.741 |
Laboratory data | ||||
TC, mmol/L | 3.79 (3.19, 4.83) | 3.73 (3.26, 5.01) | 4.21 (3.46, 4.96) | 0.691 |
Triglyceride, mmol/L | 1.46 (1.16, 2.14) | 1.46 (1.20, 2.58) | 1.66 (1.18, 2.37) | 0.253 |
LDL-C, mmol/L | 2.15 (1.75, 2.81) | 2.10 (1.82, 2.97) | 2.37 (1.98, 2.90) | 0.908 |
HDL-C, mmol/L | 1.05 (0.90, 1.24) | 0.98 (0.86, 1.31) | 1.11 (0.99, 1.23) | 0.271 |
FBG, mmol/L | 7.15±3.18 | 6.89±2.80 | 7.55±3.69 | 0.291 |
Uric acid, ìmol/L | 369.0 (307.0, 468.5) | 364.0 (303.0, 467.0) | 371.0 (312.0, 485.0) | 0.706 |
eGFR, mL/min/1.73 m2 | 80.2±26.2 | 77.8±26.5 | 84.0±25.7 | 0.174 |
Hemoglobin, g/L | 139.9±16.8 | 139.2±15.2 | 141.0±19.1 | 0.533 |
NT-proBNP, pg/mL | 199.1 (92.0, 741.0) | 281 (112.5, 1,259.0) | 133.3 (79.2, 469.0) | 0.022 |
Clinical presentation | 0.645 | |||
Silent ischemia | 28 (20.0) | 18 (20.7) | 10 (18.9) | |
Stable angina pectoris | 40 (28.6) | 25 (28.7) | 15 (28.3) | |
Unstable angina pectoris | 72 (51.4) | 44 (50.6) | 28 (52.8) | |
Medicines at discharge | ||||
Aspirin | 103 (73.6) | 66 (75.9) | 37 (69.8) | 0.431 |
P2Y12 inhibitor | 46 (32.9) | 30 (34.5) | 16 (30.2) | 0.600 |
B-blocker | 111 (79.3) | 69 (79.3) | 42 (79.2) | 0.993 |
Statin | 116 (82.9) | 72 (82.8) | 44 (83.0) | 0.968 |
Index stent interval, days | 1,420.0 (439.8, 2,636.3) | 1,590.0 (529.0, 2,737.0) | 1,460.0 (497.0, 2,555.0) | 0.355 |
Underlying stent type | ||||
BMS | 57 (40.7) | 36 (41.4) | 21 (39.6) | 0.837 |
First-generation DES | 53 (37.9) | 31 (35.6) | 22 (41.5) | 0.487 |
New-generation DES | 30 (21.4) | 20 (23.0) | 10 (18.9) | 0.564 |
Data are presented as median (interquartile range), n (%), and mean ± standard deviation. PMI, periprocedural myocardial injury; LVEF, left ventricular ejection fraction; SBP, systolic blood pressure; DBP, diastolic blood pressure; CKD, chronic kidney disease; MI, myocardial infarction; TC, total cholesterol; LDL-C, low-density lipoprotein cholesterol; HDL-C, high-density lipoprotein cholesterol; FBG, fasting blood-glucose; eGFR, estimated glomerular filtration rate; NT-proBNP, N-terminal pro-B-type natriuretic peptide; BMS, bare metal stent; DES, drug eluting stent.
Table 2
Variables | Total (n=140) | Non-PMI (n=87) | PMI (n=53) | P value |
---|---|---|---|---|
Restenosis morphology* | 0.975 | |||
Type I | 57 (40.7) | 35 (40.2) | 22 (41.5) | |
Type II | 40 (28.6) | 24 (27.6) | 16 (30.2) | |
Type III | 37 (26.4) | 24 (27.6) | 13 (24.5) | |
Type IV | 6 (4.3) | 4 (4.6) | 2 (3.8) | |
Target vessel | 0.854 | |||
LAD | 93 (66.4) | 57 (65.5) | 36 (67.9) | |
RCA | 35 (25.0) | 23 (26.4) | 12 (22.6) | |
LCX | 12 (8.6) | 7 (8.0) | 5 (9.4) | |
Slow flow | 6 (4.3) | 0 | 6 (11.3) | 0.002 |
RVD (proximal), mm | 3.24±0.46 | 3.18±0.47 | 3.33±0.44 | 0.067 |
RVD (distal), mm | 2.50±0.56 | 2.57±0.53 | 2.40±0.60 | 0.074 |
DS, % | 57.9±6.4 | 58.4±6.5 | 57.1±6.1 | 0.161 |
MLD, mm | 1.44±0.31 | 1.41±0.32 | 1.49±0.31 | 0.262 |
Treatment modality | ||||
DES | 64 (45.7) | 37 (42.5) | 27 (50.9) | 0.332 |
DCB | 76 (54.3) | 50 (57.5) | 26 (49.1) | 0.332 |
Lesion length, mm | 20.1±5.9 | 20.6±5.8 | 19.8±6.2 | 0.763 |
Mean balloon used | 2.6±0.7 | 2.6±0.8 | 2.6±0.7 | 0.967 |
Maximal balloon pressure, atm | 16.3±2.8 | 16.4±2.7 | 16.1±2.9 | 0.540 |
Mean balloon diameter, mm | 3.1±0.5 | 3.0±0.5 | 3.1±0.6 | 0.651 |
Mean balloon length, mm | 14.9±2.6 | 14.6±2.4 | 15.2±2.8 | 0.187 |
DCB diameter, mm | 3.2±0.4 | 3.1±0.4 | 3.2±0.4 | 0.229 |
DCB length, mm | 24.2±5.6 | 24.4±5.6 | 23.7±5.6 | 0.605 |
DES diameter, mm | 3.0±0.5 | 3.0±0.5 | 3.0±0.5 | 0.570 |
DES length, mm | 23.6±6.7 | 23.6±6.9 | 23.5±6.6 | 0.935 |
Procedural time, min | 82.9±29.6 | 85.5±31.5 | 78.9±26.1 | 0.203 |
Contrast medium used, mL | 230±60 | 230±65 | 230±52 | 0.952 |
*, in-stent restenosis pattern was defined as per Mehran’s classification. Data are presented as n (%) and mean ± standard deviation. PMI, periprocedural myocardial injury; LAD, left anterior descending artery; RCA, right coronary artery; LCX, left circumflex artery; RVD, reference vessel diameter; DS, diameter stenosis; MLD, minimal lumen diameter; DES, drug eluting stent; DCB, drug-coated ballon.
OCT findings
The OCT findings are shown in Table 3. Compared with the patients without PMI, those encountering PMI had a higher prevalence of intra-intimal microvessels and intra-stent PR [31 (58.5%) vs. 28 (32.2%), P=0.003; 32 (60.4%) vs. 35 (40.2%), P=0.021, respectively]. Other characteristics of OCT images were not significantly different between the two groups.
Table 3
Variables | Total (n=140) | non-PMI (n=87) | PMI (n=53) | P value |
---|---|---|---|---|
Qualitative | ||||
Homogeneous | 34 (24.3) | 25 (28.7) | 9 (17.0) | 0.116 |
Heterogeneous | 105 (75.0) | 62 (71.3) | 43 (81.1) | 0.191 |
ISNA | 82 (58.6) | 47 (54.0) | 35 (66.0) | 0.162 |
LRP | 82 (58.6) | 47 (54.0) | 35 (66.0) | 0.162 |
Intra-stent plaque rupture | 67 (47.9) | 35 (40.2) | 32 (60.4) | 0.021 |
TCFA-like pattern | 32 (22.9) | 19 (21.8) | 13 (24.5) | 0.713 |
Calcification | 59 (42.1) | 37 (42.5) | 22 (41.5) | 0.906 |
Peri-strut microvessels | 49 (35.0) | 26 (29.9) | 23 (43.4) | 0.104 |
Intra-intima microvessels | 59 (42.1) | 28 (32.2) | 31 (58.5) | 0.003 |
Macrophage | 20 (14.3) | 15 (17.2) | 5 (9.4) | 0.191 |
Cholesterol crystal | 25 (17.9) | 14 (16.1) | 11 (20.8) | 0.485 |
Malapposition | 20 (14.3) | 10 (11.5) | 10 (18.9) | 0.237 |
Thrombus | ||||
Red | 33 (23.6) | 22 (25.3) | 11 (20.8) | 0.540 |
White | 52 (37.1) | 31 (35.6) | 21 (39.6) | 0.636 |
Quantitative | ||||
RVA (proximal), mm2 | 8.37±2.31 | 8.08±2.21 | 8.84±2.40 | 0.057 |
RVA (distal) | 4.92±2.08 | 5.10±2.11 | 4.62±2.01 | 0.184 |
AS, % | 78.2 (75.3, 82.8) | 79.8 (76.3, 83.5) | 78.0 (74.9, 81.1) | 0.675 |
MLA, mm2 | 1.82±0.73 | 1.75±0.69 | 1.93±0.78 | 0.127 |
Mean lipid arc, ° | 159.5±51.3 | 158.6±48.9 | 163.9±54.6 | 0.266 |
Lipid length, mm | 8.8±2.9 | 7.8±2.6 | 9.5±3.2 | 0.302 |
Lipid index* | 1,468±826 | 1,316±676 | 1,618±980 | 0.063 |
Mean stent diameter, mm2 | 2.91±0.50 | 2.92±0.52 | 2.89±0.48 | 0.778 |
Mean stent area, mm2 | 6.88±2.38 | 6.96±2.51 | 6.77±2.21 | 0.707 |
Data are presented as n (%), mean ± standard deviation, and median (interquartile range). *, lipid length multiplied with mean lipid arc. OCT, optical coherence tomography; PMI, periprocedural myocardial injury; ISNA, in-stent neoatherosclerosis; LRP, lipid-rich plaque; TCFA, thin-cap fibroatheroma; RVA, reference vessel area; AS, area stenosis; MLA, minimal lumen area.
Predictors of PMI
In the overall 140 patients with ISR who underwent OCT before revascularization, the following variables with P<0.2 in the univariable analysis (Table S1) were tested: age, homogeneous neointima, heterogeneous neointima, ISNA, LRP, peri-strut microvessels, intra-intima microvessels, intra-stent plaque rupture, minimal lumen diameter (MLD), MLA, mean lipid arc, lipid length, lipid index and mean balloon length. In the multivariable logistic regression analysis, intra-intimal microvessels [odds ratio (OR): 3.193, 95% confidence interval (CI): 1.280–7.966, P=0.013] and intra-stent PR (OR, 2.124; 95% CI: 1.153–4.732, P=0.035) were independently associated with PMI (Table 4).
Table 4
Variables | OR | 95% CI | P value |
---|---|---|---|
Age, years | 0.964 | 0.925–1.005 | 0.088 |
Homogeneous | 0.898 | 0.564–1.761 | 0.138 |
Heterogeneous | 1.527 | 0.568–3.769 | 0.229 |
ISNA | 2.026 | 0.209–9.694 | 0.543 |
LRP | 0.445 | 0.041–4.879 | 0.508 |
Peri-strut microvessels | 0.874 | 0.360–2.122 | 0.767 |
Intra-intima microvessels | 3.193 | 1.280–7.966 | 0.013 |
Intra-stent plaque rupture | 2.124 | 1.153–4.732 | 0.035 |
MLD, mm | 0.818 | 0.039–7.179 | 0.697 |
MLA, mm2 | 1.709 | 0.422–6.919 | 0.453 |
Mean lipid arc, ° | 0.937 | 0.854–1.029 | 0.172 |
Lipid length, mm | 1.036 | 0.943–1.146 | 0.486 |
Lipid index | 2.655 | 0.988–5.433 | 0.053 |
Mean balloon length, mm | 1.048 | 0.901–1.219 | 0.543 |
PMI, periprocedural myocardial injury; OR, odds ratio; CI, confidence interval; ISNA, in-stent neoatherosclerosis; LRP, lipid-rich plaque; MLD, minimal lumen diameter; MLA, minimal lumen area.
Discussion
Key findings
The main findings of this study can be summarized as follows: (I) the incidence of PMI after PCI for ISR was high (approximately 37.9%); (II) the prevalence of intra-intimal microvessels and intra-stent PR was higher in patients with PMI than in those without PMI; (III) multivariable logistic regression analysis showed that intra-intimal microvessels and intra-stent PR were independently associated with PMI.
Strengths and limitations
This study indicated that the neointimal characteristics identified by OCT between patients with PMI and non-PMI were different. This may provide a way to prevent PMI. While this has several limitations. First, this study was a retrospective single-center study. There were quite a few patients with missing hs-cTnT data after revascularization. Therefore, a selection bias could not be excluded. Second, the sample size of this study was limited. Therefore, a future large-scale study is warranted. Third, the skill level or the image identification during operation between different interventional cardiologists may influence PMI. Thus it was difficult to investigate the relationship between operation and PMI. Lastly, this was an observational study and all these patients were not followed up for long periods, which was not sufficient to detect differences in prognostic value according to the presence or absence of intra-intimal microvessels and intra-stent plaque rupture.
Comparison with similar researches and explanations of findings
PMI has mainly been reported in patients with stable CAD after PCI. Owing to the lack of scientific data, the definition of PMI is based mainly on expert consensus opinions, and its prognostic relevance remains unclear (4,20). The incidence of PMI in different studies varied based on the cardiac biomarkers and definitions used (5-8). In a patient-level pooled analysis, the incidence of PMI based on the definition according to the 4th universal definition of myocardial infarction was 52.8% (5). A retrospective study (11) investigated the effect of increasing neointimal heterogeneity and neoatherosclerosis on the incidence of PMI in patients with ISR. Their results showed that the incidence of hs-cTnT-based PMI was approximately 30%, which was similar to our finding (37.9%). These discoveries indicated that the relevant occurrence of PMI was not only in native vessel but also in ISR lesion.
Studies on the association between neointimal characteristics and PMI occurrence after PCI for ISR have been extremely limited (11,21,22). Lee et al. (22) retrospectively analyzed the relationship between neointimal characteristics and the occurrence of PMI [defined as creatine kinase-MB (CK-MB) >99th percentile URL] in 125 patients with ISR lesions who underwent elective PCI and pre-PCI OCT examination. They found that neoatherosclerosis and TCFA were independent predictors of PMI incidence. Additionally, Kimura et al. (21) investigated the relationships between neointimal tissue characteristics and PMI occurrence (defined as peak hs-cTnT value during the 24 h following PCI >5×99th percentile URL) in 72 stable angina pectoris patients with ISR lesions who underwent OCT and coronary angioscopy (CAS). They found that PMI lesions had a higher prevalence of OCT defined TCFA and CAS-derived intensive yellow neointimas than those lesions without PMI. In the multivariable logistic regression analysis, CAS-derived intensive yellow neointima was an independent predictor of PMI. Nano et al. (11) investigated the relationships between neointimal characteristics and the PMI occurrence in 128 patients with ISR lesions by using OCT. However, the author reported no association between the neointimal characteristics and the occurrence of PMI. In the present study, the incidence of intra-intimal microvessels and intra-stent PR was higher in patients with PMI than in those without PMI (58.5% vs. 32.2%, P=0.003; 60.4% vs. 40.2%, P=0.021, respectively). Moreover, in multivariable logistic regression analysis, intra-intimal microvessels and intra-stent PR were deemed to be independent predictors for PMI.
According to previous studies, intimal microvessels were associated with plaque vulnerability and instability and were mostly involved in the development and progression of coronary plaques (23-25). Nishida et al. (23) investigated the relationships between microvessels and the tissue characteristics of plaques in 44 patients with stable angina pectoris who underwent OCT. The author reported that the greater the luminal volume of the microvessels, the higher the incidence of the necrotic/lipidic tissue within the plaques. Kitabata et al. (26) found that the presence of microvessels detected using OCT was significantly associated with the incidence of TCFA and higher high-sensitivity C-reactive protein levels, indicating the importance of intraplaque microvessels involved in plaque progression. Moreover, a recent study showed that carotid plaque microvessels were correlated with the progression of coronary lesions in patients with CAD undergoing PCI (27). In this study, intimal microvessels were more common in patients with PMI than in those without PMI, which is consistent with the previous studies. Furthermore, Turu et al. (28) found that the intimal microvessels played a pivotal role in local inflammation within the vessel wall. Furthermore, Iguchi et al. (29) revealed that in patients with insulin resistance, intraplaque microvessels were associated with coronary plaque growth by increasing the number of red blood cells, thereby supplying the plaque with inflammatory cells and cytokines. Moreover, Sluimer et al. (30) investigated the pathophysiological study of atherosclerotic coronary arteries in 28 patients who died suddenly and were donors. They found that microvessels were thin-walled in normal and atherosclerotic arteries and that the density of microvessels was higher in advanced plaques than in early plaques.
A large number of previous studies have confirmed the relationship between PR and acute coronary syndrome (31-33). PR was more observed in elderly STEMI patients, usually with a higher prevalence of typical vulnerable plaque (34). Moreover, no-reflow phenomenon was more common in STEMI patients with PR and those with PR had a higher prevalence of microvascular injury (31). The higher transmural extent of myocardial infarction also occurred in patients with PR. Satogami and colleagues (32) investigated the association between PR and transmural extent of infarction (TEI) by combining OCT with contrast-enhanced cardiac magnetic resonance imaging. They found that the frequency of no-reflow phenomenon, distal embolization and microvascular obstruction was higher in patients with PR than those with non-PR. And greater TEI grade was associated with PR. In our study, the incidence of intra-stent PR was significantly higher in patients with PMI than those without PMI. And intra-stent PR was an independent predictor of PMI in the multivariable logistic regression analysis.
Implications and actions needed
Based on the previous studies, we reckoned that patients with ISR who have a higher incidence of neointimal microvessels accompanied with more unstable plaques and local inflammatory reactions, are prone to appear PMI after revascularization. Intra-stent PR caused distal embolization and impaired microcirculation, which may be another mechanism of PMI. Therefore, Early detection of intra-intimal microvessels and intra-stent PR is necessary for the ideal management of patients with ISR. A complete examination of the ISR lesions by using OCT may provide important information about the intimal characteristics. Furthermore, the management of microvessels intra-stent PR may provide a new strategy for the prevention of PMI.
Conclusions
In patients who underwent OCT before revascularization for ISR, the incidence of intra-intimal microvessels and intra-stent PR were higher in patients with PMI than in those without PMI. Multivariable logistic regression analysis showed that intra-intimal microvessels and intra-stent PR were independently associated with PMI occurrence.
Acknowledgments
Funding: This study was supported by grants from
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Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). The study was approved by the Ethics Committee of the Affiliated Hospital of Zunyi Medical University [No. ZMU (2022)1-177] and individual consent for this retrospective analysis was waived.
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