Journal of Atherosclerosis and Thrombosis
Online ISSN : 1880-3873
Print ISSN : 1340-3478
ISSN-L : 1340-3478
Original Article
Lipid Content Distribution and its Clinical Implication in Patients with Acute Myocardial Infarction-Plaque Erosion: Results from the Prospective OCTAMI Study
Jiannan LiRunzhen ChenJinying ZhouYing WangXiaoxiao ZhaoChen LiuPeng ZhouYi ChenLi SongShaodi YanHongbing YanHanjun Zhao
Author information
JOURNAL OPEN ACCESS FULL-TEXT HTML

2024 Volume 31 Issue 1 Pages 23-35

Details
Abstract

Aims: Plaque erosion (PE) is one of the main plaque phenotypes of acute coronary syndrome (ACS). However, the underlying plaque component and distribution have not been systematically analysed. This study aims to investigate the distribution of lipid and calcium content in culprit lesions assessed by optical coherence tomography (OCT) in patients with PE and explore its relationship with prognosis in a cohort of ST segment elevation myocardial infarction (STEMI) patients.

Methods: A prospective cohort of 576 patients with STEMI was enrolled in our study. After exclusion, 152 PE patients with clear underlying plaque components were ultimately analysed. The culprit lesion was divided into the border zone, external erosion zone and erosion site in the longitudinal view. Each pullback of the culprit lesions was assessed by 3 independent investigators frame-by-frame, and the quantity and distribution of lipid and calcium components were recorded.

Results: Of the 152 PE patients, lipid and calcium contents were more likely to exist in the external erosion zone than in the other regions. In particular, a high level of lipid content proximal to the erosion site was significantly associated with plaque vulnerability and a higher incidence of MACEs.

Conclusion: This study revealed that high level of lipid content in the proximal external erosion zone was related to high-risk plaque characteristics and poor prognosis, which provided a novel method for risk stratification and precise management in patients with plaque erosion.

See editorial vol. 31: 15-16

Introduction

Plaque rupture (PR) and plaque erosion (PE) are two main plaque phenotypes in patients with acute coronary syndrome (ACS)1). The former is characterized by endothelium disruption with a large underlying lipid pool, while the latter usually presents as thrombosis adhering to fibrotic plaques with intact fibrous caps. Patients with PE usually have a better prognosis than those with PR because of the lower lipid burden and vulnerable features2). However, in the past few years, many studies based on intracoronary imaging have demonstrated that some erosion also occurs on the surface of large lipid plaques3, 4). Moreover, high-risk characteristics such as TCFAs and macrophages can also exist in eroded plaques5). According to the underlying plaque components, plaque erosion is usually categorized into PE with fibrous plaque and lipid-rich plaque (LRP)3). However, the concept of LRP is quite obscure and has had various standards in different studies3, 6, 7). In fact, the composition of eroded plaque is usually heterogeneous, which makes it difficult to analyse quantitatively. Therefore, the distribution of lipid content in PE has not yet been systematically investigated. In addition, whether the lipid components of PE are related to clinical outcome and plaque features is still unknown.

The main objective of the present study is to describe the distribution of different plaque components in culprit lesions of PE and their relationship with clinical outcomes. Herein, we enrolled 152 STEMI patients with PE based on optical coherence tomography (OCT) images and divided the culprit lesions into several zones for quantitative analysis. The proportion of lipid and calcium components in each zone was further calculated after adjustment for the length of the lesion.

Method

Study Population

From March 2017 to January 2020, 576 patients with STEMI who underwent OCT imaging of culprit lesions in Fuwai Hospital were consecutively recruited (Fuwai Hospital OCTAMI Registry, clinical trials.gov: NCT03593928). After excluding patients without preintervention OCT images (n=14), patients with poor OCT image quality (n=93), patients with in-stent restenosis (n=48), patients with other plaque phenotypes (n=241) and patients with unclear plaque composition (n=28), the remaining 152 patients with plaque erosion and a clear underlying structure in their culprit lesions were ultimately included for analysis. The study flow chart is displayed in Fig.1. This study was performed in accordance with the Declaration of Helsinki and was approved by the Ethics Committee of Fuwai Hospital. All patients provided written informed consent.

Fig.1.

Study flow chart

OCT Image Acquisition and Analysis

Patients were administered 300 mg aspirin, 180 mg ticagrelor, or 600 mg clopidogrel, and 100 IU/kg heparin before the interventional procedure. Percutaneous coronary intervention was performed via radial or femoral access. Thrombus aspiration was used to reduce the thrombus burden and restore the antegrade coronary flow. OCT images of the culprit lesions were acquired with the frequency domain ILUMIEN OPTIS OCT system and a dragon fly catheter (St. Jude Medical, Westford, MA) after the antegrade blood flow was restored, according to the intracoronary imaging technique previously described. All OCT images were anonymously analysed on a St Jude OCT Offline Review Workstation by 3 independent investigators blinded to the other data. According to the previously established criteria8), PR was identified by a disrupted fibrous cap with clear cavity formation. Thin-cap fibroatheroma (TCFA) was defined as LRP with the thinnest part of the fibrous cap being <65 µm. The fibrous cap thickness was measured in triplicate at the thinnest part of the fibrous cap of the culprit plaque, and the average value was calculated. The length of the culprit lesion was measured as the span of the entire culprit plaque in the longitudinal view. Calcification within plaques was identified by the presence of well-delineated, low-backscattering heterogeneous regions. Microchannels were defined as tubule luminal structures without a connection to the vessel lumen that did not produce a signal that was recognized in more than three consecutive cross-sectional OCT images. Cholesterol crystals were defined as linear, highly backscattering structures within the plaque. Macrophage infiltration was defined as signal-rich, distinct or confluent punctate regions above the intensity of background speckle noise with backwards shadowing. The minimal lumen area (MLA) was evaluated along the length of the target lesion.

PE in our study was defined as the presence of an attached thrombus overlying an intact and visible plaque. The culprit lesion of PE was divided into three parts according to previous study9). First, the extent of the culprit lesion was defined as the whole culprit plaque between the normal vascular structure of its two sides. If normal segment of culprit vessel was not found, both borders of each erosion site (ES) were evaluated according to reference vessel diameter (RVD) which was defined those three layers of vascular structure or at least 180° of external elastic lamina (EEL) can be visualized10). If EEL is invisible, RVD was determined on basis of comparatively regular and normal vessel segment besides culprit lesion. ES was determined by OCT and coronary angiography, which presented as the heaviest thrombosis adhesion and minimal lumen size which was relatively smaller than adjacent region. Two edges of ES were identified as the proximal and distal erosion borders. The segments between the margins of the culprit lesion and the borders of ES were further divided into two halves. The zone extending from the erosion border to halfway to the culprit margin was called the extended erosion zone (EZ). The remaining zone from the EZ border to the culprit margin was defined as the border zone (BZ). The lipid, fibrous and calcified components of each zone were investigated frame by frame, and the proportion of each component was calculated on the basis of the whole frames in each zone (Fig.2).

Fig.2. Representative OCT-case indicating distribution of lipid content in culprit lesion of PE

(A) OCT cross-section and longitudinal scan of culprit lesion of PE. Region of culprit lesion from 1 to 5 represent distal BZ, distal EZ, ES, proximal EZ and proximal BZ, respectively. (B) Proportion of lipid content in each zone of A in the whole cohort.

OCT, optical coherence tomography; PE, plaque erosion; BZ, border zone; EZ, extended erosion zone; ES, erosion site.

MACEs and Follow-Up

MACEs were defined as composite all-cause death, recurrence of myocardial infarction, heart failure and stroke. Follow-up was performed by well-trained physicians who were blinded to the routine clinical data at 1, 6, and 12 months after discharge via outpatient visits or phone interviews and then annually after 1-year follow-up.

Results

Patient Baseline Characteristics and OCT Features

The enrolled patients with PE were predominantly men (n=118, 77.6%) with a mean age of 56.8 (±12.0) years. The prevalence of cardiovascular risk factors, including hypertension, dyslipidaemia and diabetes, was 58.6%, 88.8% and 26.3%, respectively. Other information on the laboratory and angiography data are presented in Table 1. The OCT features of the population are shown in Table 2. The mean longitudinal culprit lesion extension and minimum lumen area were 16.7 (±7.3 mm) and 1.7 (±0.6 mm2), respectively. Lipid and calcium components were present in 126 (82.9%) and 114 (75%) patients, respectively. High-risk features, including TCFAs, macrophages, cholesterol crystals and microchannels, were found in 23 (15.1%), 56 (36.8%), 18 (11.8%), and 37 (24.3%) patients, respectively.

Table 1.Baseline characteristics of the study cohort

Variable PE patients (n = 152)
Patient characteristics
Age (mean±SD) 56.8±12.0
Male, n (%) 118 (77.6)
BMI (mean±SD) 25.6±3.2
Past history
Hypertension, n (%) 89 (58.6)
Dyslipidemia, n (%) 135 (88.8)
Diabetes mellitus, n (%) 40 (26.3)
Stroke, n (%) 12 (7.9)
CKD, n (%) 4 (2.6)
Myocardial infarction, n (%) 11 (7.2)
PCI, n (%) 14 (9.2)
Laboratory data
Total cholesterol (mmol/L) 4.5±1.0
LDL cholesterol (mmol/L) 2.8±0.9
HDL cholesterol (mmol/L) 1.1 (0.9-1.2)
TG (mmol/L) 1.4 (0.9-2.0)
Serum creatinine (mmol/L) 78.3 (68.0-90.7)
Leukocytes (10^9/L) 9.5 (7.9-12.2)
hs-CRP (mg/dL) 6.6 (3.1-10.8)
HbA1c (%) 6.0 (5.6-7.0)
Peak cTNI (ng/ml) 22.7 (8.1-44.1)
Peak NT-proBNP (pg/ml) 1185.2 (526,5-2659.2)
LVEF (%) 56.0 (52.0-60.0)
Angiography data
Culprit vessel
LAD, n (%) 72 (47.4)
LCX, n (%) 26 (17.1)
RCA, n (%) 54 (35.5)
TIMI flow
0 100 (65.8)
1 6 (3.9)
2 15 (9.9)
3 31 (20.4)
Lesion length, mm 25.0 (16.0-33.0)
Lesion diameter, mm 3.0 (2.5-3.5)
Stent, n (%) 144 (94.7)
IABP, n (%) 5 (3.3)

Continuous data are presented as median (interquartile range). Categorical data are presented as number (%). BMI, body mass index; PCI, percutaneous coronary intervention; CKD, chronic kidney disease; HDL, high density lipoprotein; LDL, low density lipoprotein; TG, triglyceride; hs-CRP, high sensitive C-reactive protein; HbA1c, Hemoglobin A1c; cTNI, cardiac troponin I; LVEF, left ventricle ejection fraction; LAD, left anterior descending artery; LCX, left circumflex artery; RCA, right coronary artery; TIMI, thrombolysis in myocardial infarction; IABP, Intra-aortic balloon pump.

Table 2.OCT characteristics of culprit lesion within the study cohort

OCT-culprit lesion characteristics PE patients (n = 152)
Longitudinal extension (mm; median [25th, 75th percentile]) 30.8 (22.5, 40.9)
Length of lipid component (mm; median [25th, 75th percentile]) 7.6 (3.1,13.0)
Length of fibrous component (mm; median [25th, 75th percentile]) 30.0 (21.9, 40.6)
Length of calcified component (mm; median [25th, 75th percentile]) 4.4 (0.2, 21.2)
Minimal lumen area (mm2; mean±SD) 1.7±0.6
Lipid components present, n (%) 126 (82.9)
Calcified components present, n (%) 114 (75.0)
FCT (μm; median [25th, 75th percentile]) 110 (80,160)
Thin cap fibroatheroma, n (%) 23 (15.1)
Macrophages present, n (%) 56 (36.8)
Cholesterol crystal, n (%) 18 (11.8)
Microchannel, n (%) 37 (24.3)
Thrombus, n (%) 150 (98.7)

Continuous data are presented as median (interquartile range). Categorical data are presented as number (%). OCT, optical coherence tomography; PE, plaque erosion; FCT, fibrous cap thickness.

Plaque Composition in Patients with PE

Plaque composition was analysed by longitudinally separating the three distinct zones in the whole culprit lesions. The proportion of lipid content in the extended erosion zone was significantly higher than that in the border zone and erosion site (34.8% vs. 7.7% vs. 12.5%, p<0.001). Moreover, the amount of calcium in the EZ and BZ was significantly higher than that in the ES (14.4% vs. 0, p=0.001, 11.6% vs. 0, p=0.017, respectively) (Table 3A) (Fig.3A). Next, we separated the EZ and BZ into proximal and distal portions and computed the lipid and calcified content, respectively. The results showed that the lipid content in the proximal zone was significantly greater than that in the distal zone both in the EZ [46.7% (0-84.9%) vs. 6.4% (0-42.6%), p<0.001] and the BZ [0(0-35.7%) vs. 0(0-15.2%), p=0.005] (Fig.3B). However, there was no significant difference in the calcified content between these two groups (Table 3B).

Table 3.Distribution of lipid and calcified component in distinct zone of culprit lesions. (A) Differences of lipid and calcified component among erosion site, border zone and extended erosion zone within culprit lesions of plaque erosion; (B) Differences of lipid and calcified component between proximal and distal side within extended erosion zone and border zone

(A) Differences of lipid and calcified component among erosion site, border zone and extended erosion zone within culprit lesions of plaque erosion (n = 152)
Parameters Region of culprit lesion p value
ES EZ BZ ES vs EZ vs BZ ES vs EZ ES vs BZ EZ vs BZ
Lipid component (%) 12.5 (0-41.1) 34.8 (7-59.8) 7.7 (0-28.2) <0.001 <0.001 0.015 <0.001
Calcium component (%) 0 (0-22.8) 14.4 (0-37.0) 11.6 (0-43.5) 0.016 0.001 0.017 0.817

EZ, extended erosion zone; BZ, border zone; ES, erosion site

(B) Differences of lipid and calcified component between proximal and distal side within extended erosion zone and border zone (n = 152)
Parameters Side of EZ p value Side of BZ p value
Proximal Distal Proximal Distal
Lipid component (%) 46.7 (0-84.9) 6.4 (0-42.6) <0.001 0 (0-35.7) 0 (0-15.2) 0.005
Calcified component (%) 0 (0-47.5) 0 (0-36.9) 0.198 0 (0-41.6) 0 (0-28.5) 0.220

EZ, extended erosion zone; BZ, border zone; ES, erosion site

Fig.3. Quantitative analysis of lipid and calcium components in distinct region within culprit lesions of plaque erosion

(A) Difference of lipid and calcium rate among ES, EZ and BZ; (B) Difference of lipid rate between proximal and distal EZ.

BZ, border zone; EZ, extended erosion zone; ES, erosion site.OCT, optical coherence tomography; PE, plaque erosion; BZ, border zone; EZ, extended erosion zone; ES, erosion site.

Follow-Up Analysis

The median time to follow-up was 2.97 years (interquartile range: 2.01 to 3.05 years). A Kaplan-Meier (KM) curve was drawn according to the lipid levels of different regions of the culprit lesion. No significant difference in MACEs was observed between the areas of high or low levels of lipid content in the ES, EZ, BZ or the whole culprit lesion (Fig.4). When the EZ was divided into proximal and distal parts, the results showed that the areas with a high level of lipid content in the proximal EZ had a higher incidence of MACEs than the areas with a low level (log rank p=0.0158) (Fig.5). Univariate regression analysis showed that lipid% in the proximal EZ was significantly associated with MACEs. Moreover, this association was preserved after adjustment for variables including age, sex, cardiovascular risk factors, inflammation level and heart function (Table 4).

Fig.4. Kaplan-Meier curves showing MACE–free survival classified by level of lipid content in different region of culprit lesion

BZ, border zone; EZ, extended erosion zone; ES, erosion site; MACE, major adverse cardiac event.

Fig.5. Kaplan-Meier curves showing MACE–free survival classified by level of lipid content in proximal and distal EZ

EZ, extended erosion zone; MACE, major adverse cardiac event.

Table 4.Cox Regression Analyses of lipid% in proximal EZ for MACE

Model HR p value
Unadjusted 3.201 (1.179-8.687) 0.022
Model 1 2.843 (1.041-7.766) 0.042
Model 2 3.068 (1.025-9.186) 0.045
Model 3 3.742 (1.217-11.500) 0.021

Hazard ratio (HR) shown were for lipid% in proximal EZ as a categorical variable through median value (46.7%). Model 1 adjusted for age and sex. Model 2 adjusted for all factors in model 1 plus hypertension, diabetes mellitus, hyperlipidemia, and smoking. Model 3 adjusted for all factors in model 2 plus high-sensitivity C-reactive protein level and left ventricle ejection fraction. EZ, extended erosion zone; MACE, major adverse cardiac event.

Patient Baseline and OCT Features in Low and High Level of Lipid Content in Proximal EZ

Subsequently, we separated the whole cohort into two groups according to median value of lipid% in proximal EZ. Baseline features were similar between these two groups while the OCT findings showed that vulnerable characteristics including presence of lipid components, TCFA and macrophage were significantly higher in high level of lipid content than low level (89.5% vs. 76.3%, p=0.031; 21.1% vs. 9.2%, p=0.042; 47.4% vs. 26.3, p=0.007, respectively) (Fig.6). Moreover, FCT in high level of lipid content is significantly thinner than that of low level (105µm vs. 140µm, p=0.001) (Table 5).

Fig.6. Difference of vulnerable features between low and high level of lipid content in proximal extended erosion zone

TCFA, thin cap fibroatheroma; low and high indicate low and high level of lipid content in proximal extended erosion zone.

Table 5.Baseline and OCT features in low and high level of lipid content in proximal EZ

Variables Proximal EZ lipid content p value
Low level (n = 76) High level (n = 76)
Patient characteristics
Age (mean±SD) 55.3±12.5 58.4±11.4 0.058
Male, n (%) 59 (77.6) 59 (77.6) 1
BMI (mean±SD) 25.4±3.3 25.7±3.0 0.605
Past history
Smoking, n (%) 57 (75.0) 57 (75.0) 1
Hypertension, n (%) 48 (63.2) 41 (53.9) 0.249
Dyslipidemia, n (%) 69 (90.8) 66 (86.8) 0.440
Diabetes mellitus, n (%) 22 (28.9) 18 (23.7) 0.461
Stroke, n (%) 7 (9.2) 5 (6.6) 0.547
CKD, n (%) 2 (2.6) 2 (2.6) 1
Myocardial infarction, n (%) 5 (6.6) 6 (7.9) 0.754
PCI, n (%) 7 (9.2) 7 (9.2) 1
Laboratory data
Total cholesterol (mmol/L) 4.4 (3.8-5.1) 4.4 (3.9-5.0) 0.941
LDL cholesterol (mmol/L) 2.8±0.9 2.9±0.9 0.896
HDL cholesterol (mmol/L) 1.0 (0.9-1.2) 1.1 (1.0-1.3) 0.010
TG (mmol/L) 1.6 (1.0-2.1) 1.3 (0.8-2.0) 0.096
Serum creatinine (mmol/L) 77.5 (66.7-90.2) 80.4 (68.8-93.9) 0.325
WBC (109/L) 9.8±3.2 10.3±3.2 0.197
hs-CRP (mg/dL) 5.9 (2.6-10.8) 7.5 (3.4-10.9) 0.344
HbA1c (%) 6.1 (5.6-6.9) 6.0 (5.5-7.1) 0.544
Peak cTNI (ng/ml) 38.4 (20.3-69.8) 46.1 (24.8-62.7) 0.452
Peak NT-proBNP (pg/ml) 1185.2 (513.8-2215.9) 1244.7 (545.5-3152.3) 0.267
LVEF (%) 55.4±5.9 55.0±7.1 0.654
Angiography data
Culprit vessel 0.777
LAD, n (%) 35 (46.1) 37 (48.7)
LCX, n (%) 12 (15.8) 14 (18.4)
RCA, n (%) 29 (38.2) 25 (32.9)
TIMI flow 0.286
0 54 (71.1) 46 (60.5)
1 4 (5.3) 2 (2.6)
2 5 (6.6) 10 (13.2)
3 13 (17.1) 18 (23.7)
Lesion length, mm 3.0 (2.5-3.3) 3.0 (2.7-3.5) 0.162
Lesion diameter, mm 26.0 (19.0-35.0) 22.0 (15.3-32.0) 0.447
Stent, n (%) 70 (93.3) 74 (97.4) 0.238
IABP, n (%) 3 (4.0) 2 (2.6) 0.638
OCT findings
Minimum lumen area (mm2; mean±SD) 1.6±0.6 1.7±0.5 0.601
Length of lipid component
(mm; median [25th, 75th percentile]) 3.2 (0, 7.5) 10.5 (7.7, 16.6) <0.001
Length of fibrous component
(mm; median [25th, 75th percentile]) 30.3 (22.9, 43.8) 29.5 (21.1, 38.8) 0.279
Length of calcified component
(mm; median [25th, 75th percentile]) 3.8 (0, 9.0) 4.8 (1.1, 13.9) 0.160
Lipid components present, n (%) 58 (76.3) 68 (89.5) 0.031
Calcified components present, n (%) 52 (68.4) 62 (81.6) 0.061
FCT (μm; median [25th, 75th percentile]) 140 (80,295) 105 (70,130) 0.001
Thin cap fibroatheroma, n (%) 7 (9.2) 16 (21.1) 0.042
Macrophages present, n (%) 20 (26.3) 36 (47.4) 0.007
Cholesterol crystal, n (%) 7 (9.2) 11 (14.5) 0.315
Microchannel, n (%) 17 (22.4) 20 (26.3) 0.571
Thrombus, n (%) 75 (98.7) 75 (98.7) 1.000

Continuous data are presented as median (interquartile range). Categorical data are presented as number (%). OCT, optical coherence tomography; EZ, extended erosion zone; BMI, body mass index; PCI, percutaneous coronary intervention; CKD, chronic kidney disease; WBC, white blood cell; HDL, high density lipoprotein; LDL, low density lipoprotein; TG, triglyceride; hs-CRP, high sensitive C-reactive protein; HbA1c, Hemoglobin A1c; cTNI, cardiac troponin I; LVEF, left ventricle ejection fraction; LAD, left anterior descending artery; LCX, left circumfex artery; RCA, right coronary artery; TIMI, thrombolysis in myocardial infarction; IABP, Intra-aortic balloon pump; FCT, fibrous cap thickness.

Discussion

The present study demonstrated for the first time the plaque components and distribution in the whole culprit lesion of PE. The main results of this study revealed that the lipid and calcium contents were extensively but not uniformly distributed in culprit lesions of plaque erosion. The lipid and calcified content usually existed in the external erosion zone, especially at the proximal side of the erosion site. The level of lipid content in the proximal extended erosion zone is significantly associated with the prognosis of patients. These findings provide some evidence for clarifying the mechanism, morphology and risk stratification for plaque erosion.

LRP is Related to Poor Prognosis

It has been well acknowledged that thin-capped LRP is a strong label of plaque instability and indicates poor prognosis both in culprit and nonculprit lesions3, 11), especially in the left anterior descending artery12). Although PE was previously characterized by more fibrotic content and the absence of a large necrotic core, an increasing number of studies have reported that culprit lesions in PE also present as LRP and TCFA3, 4). A previous study demonstrated that patients with LRP had poorer outcomes than those without LPR in the population of ACS with an intact fibrous cap3). Moreover, a recent OCT study demonstrated that PE patients with LRP have more vulnerable plaque features and a high level of pancoronary inflammation in their nonculprit plaques than those with fibrotic plaque13). Interestingly, the presence of LRP in culprit eroded plaques are higher than that in nonculprit plaques14). Recent clinical research reported that PE with LRP usually showed more critical stenosis than PE without LRP7). Although experimental and clinical studies have demonstrated that the mechanism of PE is related to blood flow disturbance, endothelial apoptosis and TLR stimulation15-17), how different underlying plaques impact PE formation has not been fully investigated. Some evidence has shown that flow disturbance resulting from nearby bifurcations is the cause of plaque erosion on fibrous plaques, while severe lumen stenosis is the cause of PE on LRP7).

Spatial Distribution of Lipid Contents in Plaque Erosion

Although LPR played a significant role in the aetiology and prognosis of PE, the standard of LRP was not uniform in previous studies, and the extent and location of lipid components in culprit lesions were not well unified. In this study, the distribution and proportion of lipid and calcium content in the patients with PE were computed for quantitative analysis. A previous study revealed that the proximal segments had more LRPs than the nonproximal segments in nonculprit lesions18). Moreover, an intracoronary imaging study demonstrated that proximal lesions in coronary trees except the left main coronary artery were associated with more acute coronary events19, 20). The composition of eroded plaques are not homogeneous but usually a mixture of lipid, fibrous and calcium contents21). The heterogeneity of plaques is prone to cause plaque destabilization and a worse prognosis22). In the present study, spatial differences in the lipid and calcium distributions in the culprit lesions of plaque erosion were observed, and the location of the erosion site was discordant with the highest lipid or calcium content. Similarly, several studies have convincingly shown that the MLA does not match the location of the highest plaque burden, maximum plaque structure stress or highest lipid core burden index23-25). In plaques associated with MACE, high plaque structural stress usually occurs away from the MLA but is located upstream or downstream26). Additionally, the site of MLA is not concordant with other vulnerable features, such as large LRP and maximum plaque burden23). Therefore, the culprit lesion was more likely to present as a complex ‘mountain range’ but not a single ‘volcano’26).

Role of Proximal Lipid Content in Treatment and Prognosis

Components of atherosclerotic plaques in different regions usually exhibit distinct features. Carotid atherosclerotic plaques in the proximal region show a higher incidence of intraplaque haemorrhage and a thin fibrous cap compared with the distal side27). The surrounding region of the plaque rupture site showed a high prevalence of coexisting lipid and calcified contents9). In addition, in patients with ACS, proximal segments of the coronary artery had more LRPs than nonproximal segments19). In our study, the lipid and calcium contents were mainly located on the proximal side near the erosion site. Moreover, a high level of lipid content in the proximal side of the MLA is significantly related to more vulnerable plaque features and adverse clinical outcomes. The possible mechanism may involve plaque destabilization or inappropriate stent implantation impacted by LRP on the proximal side28).

It is well acknowledged that the therapeutic strategies and effects are impacted by the plaque phenotype and composition. The incidence of unfavourable OCT findings after stenting was higher in patients with PR than in those with PE29). Patients with PE may benefit from antithrombotic therapy without stenting during at least four years of follow-up30). The presence of LRP in culprit lesions was reported to lead to in-stent plaque prolapse, incomplete stent apposition and edge dissection28, 31, 32). In addition, the risk of no-reflow and increment of cardiac biomarkers was also higher in patients with LRP33, 34). In a recent study, patients with plaque erosion were shown to have poor prognosis if their underlying plaque phenotype was lipid rich3). Our results showed that the prevalence of lipid contents beside the MLA was significantly higher than that in the other regions, which suggested that the proximal large lipid plaque should be considered for stent implantation. Further studies are needed to determine a precise interventional strategy to address culprit lesions of distinct plaque components.

The current study provided in vivo evidence of the plaque compositional distribution in patients with PE. Both the lipid content and its location played an important role in predicting prognosis. The lipid burden and other vulnerable features in the proximal region near the erosion site should be considered. Establishment of risk stratification and precise treatment in patients with PE according to the plaque structure and characteristics is warranted.

Conclusion

Lipid and calcified contents were frequently seen in the culprit lesion of plaque erosion, particularly in the surrounding region of the erosion sites. A high level of lipid content on the proximal side near the erosion sites is significantly related to poor clinical outcomes in PE patients.

Limitation

First, this study was a single-centre study, and 10%~20% of the patients were excluded from the final analysis due to obscure underlying plaque constituents. Therefore, selection bias cannot be excluded. Second, the accuracy of OCT to identify plaque erosion and its plaque composition remains uncertain, and our study provided no pathological evidence so some of the cases may have been misjudged. Third, some interventional procedures, such as guidewire entry and thrombus aspiration before OCT examination, may change the structure of the underlying plaque. Finally, a validation cohort to confirm the prognostic value of the proximal lipid content in addition to the lipid content in the erosion sites was lacking, which we hope to establish in further investigation.

Funding

This study was supported by the Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences (2016-I2 M-1–009), National Natural Science Funds (number: 81970308), the Fund of “Sanming” Project of Medicine in Shenzhen (number: SZSM201911017) and Shenzhen Key Medical Discipline Construction Fund (number: SZXK001).

Conflicts of Interest

None

Appendix
Graphic abstract.

STEMI-PE patients with high level of lipid content in proximal region besides erosion sites exhibited higher incidence of MACE and vulnerable features, suggesting a novel risk stratification of PE. STEMI, ST-segment elevation myocardial infarction; PE, plaque erosion; MACE, major adverse cardiac event.

References
 

This article is licensed under a Creative Commons [Attribution-NonCommercial-ShareAlike 4.0 International] license.
https://creativecommons.org/licenses/by-nc-sa/4.0/
feedback
Top