Long-term clinical outcomes of image-guided percutaneous coronary intervention in acute myocardial infarction from the Korea Acute Myocardial Infarction Registry (2024)

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Long-term clinical outcomes of image-guided percutaneous coronary intervention in acute myocardial infarction from the Korea Acute Myocardial Infarction Registry (1)

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PLoS One. 2024; 19(6): e0304843.

Published online 2024 Jun 5. doi:10.1371/journal.pone.0304843

PMCID: PMC11152258

PMID: 38838047

Youngjoon Kwon, Conceptualization, Data curation, Formal analysis, Investigation, Visualization, Writing – original draft,1 Namkyun Kim, Conceptualization, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Writing – original draft, Writing – review & editing,Long-term clinical outcomes of image-guided percutaneous coronary intervention in acute myocardial infarction from the Korea Acute Myocardial Infarction Registry (2)1,2,* Chang-Yeon Kim, Conceptualization, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Writing – review & editing,Long-term clinical outcomes of image-guided percutaneous coronary intervention in acute myocardial infarction from the Korea Acute Myocardial Infarction Registry (3)3,* Do-Hoon Kim, Data curation, Formal analysis,4 Hyewon Shin, Data curation, Formal analysis,5,6 Min-Su Jung, Investigation, Methodology, Writing – review & editing,1 Jong Sung Park, Investigation, Methodology, Writing – review & editing,1 Yoon Jung Park, Validation, Writing – review & editing,1,2 Bo Eun Park, Validation, Writing – review & editing,1,2 Hong Nyun Kim, Writing – review & editing,1,2 Se Yong Jang, Writing – review & editing,1,2 Myung Hwan Bae, Supervision, Writing – review & editing,1,2 Jang Hoon Lee, Supervision, Writing – review & editing,1,2 Dong Heon Yang, Supervision, Writing – review & editing,1,2 Hun Sik Park, Supervision, Writing – review & editing,1,2 Yongkeun Cho, Supervision, Writing – review & editing,1,2 Kwang Soo Cha, Conceptualization, Project administration, Resources, Supervision, Writing – review & editing,7 Seung-Ho Hur, Conceptualization, Project administration, Resources, Writing – review & editing,8 Jin-Yong Hwang, Conceptualization, Project administration, Resources, Writing – review & editing,9 Myung Ho Jeong, Funding acquisition, Project administration, Resources,10 and on behalf of the KAMIR- NIH (Korea Acute Myocardial Infarction Registry- National Institutes of Health) Investigators

Timir Paul, Editor

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Associated Data

Data Availability Statement

Abstract

Imaging modalities for percutaneous coronary intervention (PCI), such as intravascular ultrasound (IVUS) or optical coherence tomography (OCT), have increased in the current PCI era. However, their clinical benefits in acute myocardial infarction (AMI) have not been fully elucidated. This study investigated the long-term outcomes of image-guided PCI in patients with AMI using data from the Korean Acute Myocardial Infarction Registry. A total of 9,271 patients with AMI, who underwent PCI with second-generation drug-eluting stents between November 2011 and December 2015, were retrospectively examined, and target lesion failure (TLF) at 3 years (defined as the composite of cardiac death, target vessel myocardial infarction, and ischemia-driven target lesion revascularization) was evaluated. From the registry, 2,134 patients (23.0%) underwent image-guided PCI (IVUS-guided: n = 1,919 [20.6%]; OCT-guided: n = 215 patients [2.3%]). Based on propensity score matching, image-guided PCI was associated with a significant reduction in TLF (hazard ratio: 0.76; 95% confidence interval: 0.59–0.98, p = 0.035). In addition, the TLF incidence in the OCT-guided PCI group was comparable to that in the IVUS-guided PCI group (5.3% vs 4.7%, p = 0.903). Image-guided PCI, including IVUS and OCT, is associated with favorable clinical outcomes in patients with AMI at 3 years post-intervention. Additionally, OCT-guided PCI is not inferior to IVUS-guided PCI in patients with AMI.

Introduction

Image-guided percutaneous coronary intervention (PCI), using techniques such as intravascular ultrasound (IVUS) or optical coherence tomography (OCT), offers valuable clinical information for interventional cardiologists. The morphology and composition of coronary plaques can be visualized during preintervention evaluation. During stenting, the size and apposition of the stent are finely adjusted, and landing zones can be confirmed. Moreover, the extent of stent expansion, edge dissection, and hematoma can be identified in the postprocedural step [13]. Therefore, in high-risk patients or those with severe stenosis requiring complex interventions, IVUS- or OCT-guided PCI is particularly recommended by current practices [4,5].

Several studies have been conducted to deepen our understanding of the significance of image-guided PCI across various clinical scenarios [6,7]. Of note, the Randomized Controlled Trial of Intravascular Imaging Guidance versus Angiography-Guidance on Clinical Outcomes after Complex Percutaneous Coronary Intervention (RENOVATE-COMPLEX-PCI) trial demonstrated that image-guided PCI is associated with a lower risk of composite outcomes, including cardiac death, target vessel-related myocardial infarction, or clinically driven target vessel revascularization, compared with angiography-guided PCI alone [8].

Regarding different modalities for image-guided PCI, several studies have compared the outcomes of IVUS versus OCT. The recently published Optical Coherence Tomography-Guided or Intravascular Ultrasound-Guided Percutaneous Coronary Intervention trial established that OCT-guided PCI is noninferior to IVUS-guided PCI regarding the incidence of a composite of death from cardiac causes, target vessel-related myocardial infarction, or ischemia-driven target vessel revascularization at 1 year [7].

Nevertheless, the long-term clinical importance of image-guided PCI in acute myocardial infarction (AMI) remains incompletely understood, despite the increasing use of IVUS or OCT in clinical practice. Herein, we aimed to elucidate the long-term impact of image-guided PCI in patients with AMI using multicenter and nationwide registry data in the contemporary PCI era.

Materials and methods

Study design and population

A retrospective review of all patients registered in the Korean Acute Myocardial Infarction Registry—National Institutes of Health (KAMIR-NIH), who underwent PCI with second-generation drug-eluting stents (DES) between November 2011 and December 2015, was conducted. KAMIR-NIH is a prospective, open, observational, multicenter online registry of AMI cases in the Republic of Korea. A study overview is illustrated in Fig 1. This study was approved by the Institutional Review Board of Kyungpook National University Hospital (IRB No: KNUH-2022-01-011), and all patients provided written informed consent to participate. The registry data were accessed from January 15, 2023, to February 1, 2023, for the purposes of this research. Patients presenting with cardiogenic shock as their initial manifestation were excluded from this study. Those who received primary thrombolysis before undergoing PCI were also not included. Additionally, individuals assessed solely by fractional flow reserve (FFR) and those treated with bare-metal stents or first-generation DES were excluded. The final study population (n = 9,271) was stratified into two groups based on the modality used for PCI: image- (n = 2,134) and angiography-guided (n = 7,137). The image-guided PCI population was further classified into IVUS-guided (n = 1,919) and OCT-guided PCI (n = 215).

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Fig 1

Study overview.

KAMIR-NIH, Korea Acute Myocardial Infarction Registry—National Institutes of Health; IVUS, intravascular ultrasound; OCT, optical coherence tomography; PCI, percutaneous coronary intervention; FFR, fractional flow reserve; POBA, plain old balloon angioplasty; DEB, drug-eluting balloon; DES, drug-eluting stent.

AMI, including both ST-segment elevation myocardial infarction (STEMI) and non-ST-segment elevation myocardial infarction (NSTEMI), was diagnosed according to the standard criteria of clinical manifestations and elevated serum cardiac troponin I levels [9]. All interventional procedures were performed according to current guidelines. The diagnostic modality (IVUS/OCT) was determined by the treating cardiologists in the catheterization laboratory.

IVUS or OCT was used to analyze the characteristics of plaque and target lesions during the preinterventional phase in the image-guided PCI group [10]. Additionally, the treating physicians used IVUS or OCT to obtain information on the landing zones, stent apposition and expansion, hematoma, or coronary dissection in the peri- and post-interventional phases [2].

In accordance with the current guidelines, all patients were administered aspirin and P2Y12 inhibitors. Prior to the procedure, each patient received a loading dose of aspirin (300 mg) and either clopidogrel (300 or 600 mg), prasugrel (60 mg), or ticagrelor (180 mg), depending on the practices of the individual centers. Specifically, 2,656 patients (28%) in the clopidogrel group were administered a 300mg loading dose. Administration of unfractionated heparin during PCI followed local practice rules and protocols. Patients received guideline-directed medical therapy, based on their individual conditions, and determined by the physician, which included the administration of antiplatelet agents, renin-angiotensin-system inhibitors, beta-blockers, and statins.

During initial admission, baseline patient information and laboratory data were collected, and subsequent data were obtained through medical records and direct telephone interviews. The outcome of the study was target lesion failure (TLF) at 3 years after the initial intervention, defined as the composite of all cardiac deaths, target vessel myocardial infarction, and ischemia-driven target lesion revascularization. Target vessel myocardial infarction is defined as a myocardial infarction marked by myocardial necrosis occurring in the vascular area served by a previously treated target vessel. Target lesion revascularization was classified as ischemia-driven if revascularization procedures were conducted on the target lesion under specific conditions: either in the case of ≥50% angiographic diameter stenosis accompanied by ischemic symptoms or a positive functional study, or when there was ≥70% stenosis without ischemic symptoms or a positive functional study.

Statistical analysis

Continuous variables are presented as mean ± standard deviation (SD), whereas categorical variables are expressed as percentages. The comparison of parameters involved using the Student’s t-test for continuous variables and Pearson’s chi-square test for categorical variables. As the patient distribution was not uniform across study groups, propensity score (PS) matching was used to adjust for hidden confounding factors. PS was derived through logistic regression considering clinically important parameters between the two groups (age, sex, body mass index, clinical presentation, final diagnosis, hypertension, diabetes, dyslipidemia, previous myocardial infarction or cerebrovascular accident, left ventricular ejection fraction [LVEF], estimated glomerular filtration rate [eGFR], troponin I, creatine kinase-myocardial band [CK-MB], discharge medication, use of transradial approach, use of glycoprotein IIb/IIIa inhibitors, thrombus aspiration, stent diameter and length, stent type, stent number, number of vessels involved, multivessel disease, culprit vessel, and ACC/AHA lesion type). We used nearest-neighbor matching with a caliper size set at 0.2 times the SD of the logit-transformed PS.

We calculated the hazard ratios (HRs) and 95% confidence intervals (CI) from a matched stratified Cox proportional-hazards model for the main outcome in the PS-matched cohort. Cumulative clinical events at 3 years were estimated using the Kaplan–Meier survival analysis, and outcomes were compared using the log-rank test for each result. Statistical significance was set at p < 0.05. All analyses were conducted using R (version 4.3.1; R Foundation for Statistical Computing.).

Results

Baseline characteristics

Among the 9,271 patients retrieved from the registry, 2,134 (23.0%) underwent image-guided PCI; the median follow-up period of the entire population was 1,099 days. Within the image-guided PCI group, 1,919 patients (20.6%) underwent IVUS-guided PCI, and 215 patients (2.3%) underwent the OCT-guided PCI. The angiography-guided PCI group had a higher average patient age (63.29 ± 12.39 years vs 62.23 ± 12.10 years; p < 0.001) and a higher prevalence of previous hypertension (n = 3,598 [50.4%] vs n = 963 [45.1%]; p < 0.001) and cerebrovascular accidents (n = 434 [6.1%] vs n = 104 [4.9%]; p = 0.041) than the image-guided PCI group. Moreover, the angiography-guided PCI group exhibited significantly lower levels of LVEF on admission (52.12% ± 10.44% vs 53.14% ± 9.82%; p < 0.001).

However, the troponin I levels at admission were significantly higher in the angiography-guided PCI group than in the image-guided PCI group (47.02 ± 96.11 ng/mL vs 32.93 ± 118.25 ng/mL; p < 0.001). Furthermore, the frequency of RAS inhibitor usage was considerably higher in the angiography-guided PCI group (n = 5,981 [83.8%] vs n = 1,713 [80.3%]; p = 0.001), as was the use of beta-blockers (n = 6,259 [87.7%] vs 1,799 [84.3%]; p < 0.001).

Regarding procedural characteristics, the transradial approach was more commonly preferred in the image-guided PCI group (n = 920 [43.1%] versus n = 2,683 [37.6%]; p < 0.001). Moreover, this group frequently used stents with larger diameters (≥3 mm), longer lengths (≥35 mm), and employed multiple stent implantations (≥2 stents). In terms of lesion characteristics, the image-guided PCI group showed higher instances of multivessel disease (n = 1,174 [55.0%] vs n = 3,501 [49.1%]; p < 0.001) and complex left main vessel disease (n = 175 [8.2%] vs n = 183 [2.6%]; p < 0.001).

The PS matching results indicated adequacy based on standardized mean differences (SMD) in all clinical variables. Patient characteristics, such as age, sex, comorbidities, and lesion and procedure characteristics, were statistically similar between the two groups in this matched cohort (Table 1).

Table 1

Baseline characteristics of the unmatched and PS-matched cohort.

Unmatched CohortPS-matched Cohort
VariablesAngiography-guided PCI (n = 7,137)Image-guided PCI
(n = 2,134)
P valueAngiography-guided PCI (n = 2,089)Image-guided PCI
(n = 2,089)
P valueSMD
Patient characteristics
Age, mean ± SD63.29 ± 12.3962.23 ± 12.10<0.00162.18 (12.28)62.29 (12.12)0.7740.009
Sex, Male (%)5,347 (74.9)1,693 (79.3)<0.0011,657 (79.3)1,653 (79.1)0.9090.005
BMI, mean ± SD (kg/ m2)24.09 ± 3.2024.17 ± 3.300.35624.17 ±3.1924.16 ±3.300.9120.003
Killip class ≥ 3 (%)472 (6.6)124 (5.8)0.202108 (5.2)121 (5.8)0.4150.027
Final diagnosis (%)<0.0010.9010.005
NSTEMI3,383 (47.4)1,187 (55.6)1,156 (55.3)1,151 (55.1)
STEMI3,754 (52.6)947 (44.4)933 (44.7)938 (44.9)
Hypertension (%)3,598 (50.4)963 (45.1)<0.001913 (43.7)946 (45.3)0.3190.032
Diabetes (%)1,948 (27.3)537 (25.2)0.055525 (25.1)523 (25.0)0.9720.002
Dyslipidemia (%)833 (11.7)252 (11.8)0.893243 (11.6)246 (11.8)0.9230.004
Previous MI (%)408 (5.7)123 (5.8)0.977140 (6.7)118 (5.6)0.1770.044
Previous CVA (%)434 (6.1)104 (4.9)0.04186 (4.1)99 (4.7)0.3670.03
Current smoker (%)2,882 (40.4)924 (43.3)0.017884 (42.3)902 (43.2)0.5950.017
LVEF, mean ± SD (%)52.12 ±10.4453.14 ±9.82<0.00153.15±10.1253.05±9.820.7660.009
eGFR, mean ± SD (mL/min/1.73 m2)84.25 ± 36.8585.89 ± 36.860.07286.08±32.1185.67±36.860.7030.012
Troponin I, mean ± SD (ng/mL)47.02 ± 96.1132.93 ±118.25<0.00136.35±105.4133.42±119.460.4010.026
CK-MB, mean ± SD (ng/mL)109.81 ±145.84113.12 ±133.760.349116.77±160.95114.19±134.170.5740.017
Discharge medication (%)
DAPT7,122 (99.8)2,126 (99.6)0.2742,084 (99.8)2,082 (99.7)0.7730.018
Aspirin7,130 (99.9)2,133 (100.0)0.7742,088 (100.0)2,088 (100.0)>0.99<0.001
P2Y12 inhibitors<0.0010.6040.042
Clopidogrel4,540 (63.6)1,315 (61.6)1,266 (60.6)1,288 (61.7)
Ticagrelor1,576 (21.1)596 (27.9)579 (27.7)579 (27.7)
Prasugrel1,013 (14.2)216 (10.1)240 (11.5)216 (10.3)
RAS inhibitors5,981 (83.8)1,713 (80.3)0.0011,680 (80.4)1,681 (80.5)>0.990.001
Beta-blocker6,259 (87.7)1,799 (84.3)<0.0011,752 (83.9)1,762 (84.3)0.7030.013
Statin6,796 (95.2)2,062 (96.6)0.0072,028 (97.1)2,018 (96.6)0.4260.027
Procedural characteristics
Successful PCI (%)7,110 (99.6)2,123 (99.5)0.4982,076 (99.4)2,078 (99.5)0.8380.013
Trans-radial approach (%)2,683 (37.6)920 (43.1)<0.001914 (43.8)900 (43.1)0.6850.014
Usage of GP2b3a inhibitor (%)989 (13.9)389 (18.2)<0.001403 (19.3)378 (18.1)0.3410.031
Thrombus aspiration (%)1,763 (24.7)468 (21.9)0.009475 (22.7)464 (22.2)0.7110.013
Stent diameter ≥ 3mm (%)5,122 (71.8)1,673 (78.4)<0.0011,638 (78.4)1,628 (77.9)0.7360.012
Stent length ≥ 35mm (%)1,762 (24.7)637 (29.9)<0.001605 (29.0)626 (30.0)0.4970.022
Number of stents ≥ 2 (%)2,293 (32.1)837 (39.2)<0.001820 (39.3)813 (38.9)0.8490.007
Stent type (%)0.0010.7590.034
Biolimus1,408 (19.7)362 (17.0)383 (18.3)360 (17.2)
Everolimus3,614 (50.6)1,118 (52.4)1,074 (51.4)1,099 (52.6)
Zotarolimus1,692 (23.7)554 (26.0)537 (25.7)530 (25.4)
etc423 (5.9)100 (4.7)95 (4.5)100 (4.8)
Lesion characteristics
Number of vessel disease (%)<0.0010.9520.026
Left main disease (simple)12 (0.2)25 (1.2)10 (0.5)12 (0.6)
Left main disease (complex)183 (2.6)175 (8.2)143 (6.8)143 (6.8)
One-vessel disease3,636 (50.9)960 (45.0)960 (46.0)960 (46.0)
Two-vessel disease2,091 (29.3)620 (29.1)606 (29.0)620 (29.7)
Three-vessel disease1,215 (17.0)354 (16.6)370 (17.7)354 (16.9)
Multivessel disease (%)3,501 (49.1)1,174 (55.0)<0.0011,129 (54.0)1,129 (54.0)>0.99<0.001
Culprit vessel (%)<0.0010.9220.022
Left main76 (1.1)99 (4.6)62 (3.0)69 (3.3)
LAD3,376 (47.3)1,107 (51.9)1,104 (52.8)1,098 (52.6)
LCX1,226 (17.2)340 (15.9)331 (15.8)337 (16.1)
RCA2,459 (34.5)588 (27.6)592 (28.3)585 (28.0)
ACC/AHA B2/C lesion (%)6,196 (86.8)1,822 (85.4)0.0961,788 (85.6)1,787 (85.5)>0.990.001

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Data are expressed as mean ± standard deviation (SD) or number (percent). MI, myocardial infarction; STEMI, ST segment elevation myocardial infarction; NSTEMI, non-ST segment elevation myocardial infarction; CVA, cerebrovascular accident; TIA, transient ischemic attack; RAS inhibitors, renin-angiotensin-system inhibitors; LAD, left anterior descending artery; LCX, left circumflex artery; LM, left main; RCA, right coronary artery; eGFR, estimated glomerular filtration rate (calculated using MDRD GFR equation); LVEF, left ventricular ejection fraction; CK-MB, creatine kinase-myocardial band; DAPT, dual antiplatelet agent; GP2b3a inhibitor, glycoprotein IIb/IIIa inhibitors.

Within the image-guided PCI group, the IVUS- and OCT-guided subgroups were statistically similar in mean age, sex, body mass index, clinical manifestation, incidence of diabetes, dyslipidemia, previous myocardial infarctions, and cardiac enzyme levels. The exceptions were a previous history of cerebrovascular accidents (n = 100 [5.2%] vs n = 4 [1.9%]; p = 0.046) and the use of P2Y12 inhibitors and beta-blockers (n = 1,597 [83.2%] vs n = 202 [94.0%]; p < 0.001). Furthermore, the initial eGFR was high in the OCT-guided PCI group (94.51 ± 26.29 mL/min/1.73 m2 vs 84.92 ± 37.75 mL/min/1.73 m2; p < 0.001).

Given the substantial disparity in patient numbers, PS matching at a ratio of 2 was also performed within the image-guided PCI group, resulting in no significant differences between the matched groups according to SMD (Table 2).

Table 2

Baseline characteristics of unmatched cohort and PS-matched cohort of image-guided PCI.

Unmatched CohortPS-matched Cohort
VariablesIVUS-guided PCI
(n = 1919)
OCT-guided PCI
(n = 215)
P valueIVUS-guided PCI (n = 419)OCT-guided PCI
(n = 214)
P valueSMD
Patient characteristics
Age, mean ± SD62.36±12.2161.01±11.010.1261.05±12.3461.07±10.990.980.002
Sex, Male (%)1,518 (79.1)175 (81.4)0.485344 (82.1)174 (81.3)0.8920.02
BMI, mean ± SD (kg/ m2)24.18±3.3324.07±2.940.63224.01±3.2224.07±2.950.8170.02
Killip class ≥ 3 (%)111 (5.8)13 (6.0)0.99827 (6.4)13 (6.1)0.9940.015
Final diagnosis (%)0.4770.9660.011
NSTEMI1,062 (55.3)125 (58.1)245 (58.5)124 (57.9)
STEMI857 (44.7)90 (41.9)174 (41.5)90 (42.1)
Hypertension (%)879 (45.8)84 (39.1)0.07163 (38.9)83 (38.8)>0.990.002
Diabetes (%)489 (25.5)48 (22.3)0.35399 (23.6)48 (22.4)0.8120.028
Dyslipidemia (%)232 (12.1)20 (9.3)0.27648 (11.5)20 (9.3)0.4990.069
Previous MI (%)114 (5.9)9 (4.2)0.37221 (5.0)9 (4.2)0.80.038
Previous CVA (%)100 (5.2)4 (1.9)0.0469 (2.1)4 (1.9)>0.990.02
Current smoker (%)819 (42.7)105 (48.8)0.098214 (51.1)105 (49.1)0.6940.04
LVEF, mean ± SD (%)53.17±9.9352.95±8.760.76253.04±9.9452.95±8.780.9140.009
eGFR, mean ± SD (mL/min/1.73 m2)84.92±37.7594.51±26.29<0.00191.23±33.7694.53±26.350.2120.109
Troponin I, mean ± SD (ng/mL)32.97±122.6432.63±67.610.96929.81±56.5732.78±67.730.5590.048
CK-MB, mean ± SD (ng/mL)112.51±130.64118.59±159.200.527120.40±149.50119.12±159.380.9210.008
Discharge medication (%)
DAPT1,912 (99.6)214 (99.5)>0.99417 (99.5)213 (99.5)>0.990.001
Aspirin1,918 (99.9)215 (100.0)>0.99419 (100.0)214 (100.0)>0.99<0.001
P2Y12 inhibitors<0.0010.9590.046
Clopidogrel1,180 (61.5)135 (62.8)272 (64.9)135 (63.1)
Ticagrelor560 (29.2)36 (16.7)70 (16.7)36 (16.8)
Prasugrel173 (9.0)43 (20.0)75 (17.9)42 (19.6)
RAS inhibitors1,536 (80.0)177 (82.3)0.479342 (81.6)177 (82.7)0.820.028
Beta-blocker1,597 (83.2)202 (94.0)<0.001400 (95.5)201 (93.9)0.5190.069
Statin1,851 (96.5)211 (98.1)0.273415 (99.0)210 (98.1)0.550.078
Procedural characteristics
Successful PCI (%)1,909 (99.5)214 (99.5)>0.99418 (99.8)213 (99.5)>0.990.039
Trans-radial approach (%)832 (43.4)88 (40.9)0.543177 (42.2)88 (41.1)0.8530.023
Usage of GP2b3a inhibitor (%)371 (19.3)18 (8.4)<0.00133 (7.9)18 (8.4)0.9360.02
Thrombus aspiration (%)424 (22.1)44 (20.5)0.64591 (21.7)44 (20.6)0.8150.028
Stent diameter ≥ 3mm (%)1,515 (78.9)158 (73.5)0.079309 (73.7)158 (73.8)>0.990.002
Stent length ≥ 35mm (%)595 (31.0)42 (19.5)0.00189 (21.2)42 (19.6)0.7110.04
Number of stents ≥ 2 (%)770 (40.1)67 (31.2)0.013134 (32.0)67 (31.3)0.9350.014
Stent type (%)<0.0010.9690.042
Biolimus297 (15.5)65 (30.2)122 (29.1)65 (30.4)
Everolimus1,036 (54.0)82 (38.1)158 (37.7)82 (38.3)
Zotarolimus496 (25.8)58 (27.0)119 (28.4)57 (26.6)
etc90 (4.7)10 (4.7)20 (4.8)10 (4.7)
Lesion characteristics
Number of vessel disease (%)0.0020.7020.101
Left main disease (simple)25 (1.3)0 (0.0)0 (0)0 (0)
Left main disease (complex)168 (8.8)7 (3.3)15 (3.6)7 (3.3)
One-vessel disease843 (43.9)117 (54.4)212 (50.6)116 (54.2)
Two-vessel disease557 (29.0)63 (29.3)142 (33.9)63 (29.4)
Three-vessel disease326 (17.0)28 (13.0)50 (11.9)28 (13.1)
Multivessel disease (%)1,076 (56.1)98 (45.6)0.004207 (49.4)98 (45.8)0.4380.072
Culprit vessel (%)0.1840.8940.066
Left main95 (5.0)4 (1.9)10 (2.4)4 (1.9)
LAD996 (51.9)111 (51.6)218 (52.0)111 (51.9)
LCX306 (15.9)34 (15.8)73 (17.4)34 (15.9)
RCA522 (27.2)66 (30.7)118 (28.2)65 (30.4)
ACC/AHA B2/C lesion (%)1,644 (85.7)178 (82.8)0.302351 (83.8)178 (83.2)0.9380.016

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Data are expressed as mean ± standard deviation (SD) or number (percent). MI, myocardial infarction; STEMI, ST segment elevation myocardial infarction; NSTEMI, non-ST segment elevation myocardial infarction; CVA, cerebrovascular accident; TIA, transient ischemic attack; RAS inhibitors, renin-angiotensin-system inhibitors; LAD, left anterior descending artery; LCX, left circumflex artery; LM, left main; RCA, right coronary artery; eGFR, estimated glomerular filtration rate (calculated using MDRD GFR equation); LVEF, left ventricular ejection fraction; CK-MB, creatine kinase-myocardial band; DAPT, dual antiplatelet agent; GP2b3a inhibitor, glycoprotein IIb/IIIa inhibitors.

Clinical outcomes

The main study outcomes are summarized in Fig 2 and Table 3. In the overall population, the incidence of TLF was significantly lower in the image-guided PCI group than in the angiography-guided PCI (n = 485 [6.8%] vs n = 113 [5.3%], p = 0.015), primarily owing to a reduction in cardiac deaths (n = 283 [4.0%] vs n = 58 [2.7%], p = 0.009) and target vessel myocardial infarctions (n = 103 [1.4%] vs n = 18 [0.8%], p = 0.042). Following PS matching, the incidence of TLF remained statistically lower in the image-guided PCI group than in the angiography-guided PCI (n = 143 [6.8%] vs n = 110 [5.3%], p = 0.038), mainly driven by a decrease in cardiac deaths (n = 85 [4.1%] vs n = 57 [2.7%], p = 0.021). According to the stratified Cox proportional hazard model in the matched cohort, image-guided PCI was associated with a significant reduction in TLF (HR: 0.76, 95% CI: 0.59–0.98; p = 0.035) and cardiac death (HR: 0.67, 95% CI: 0.48–0.92; p = 0.016) (Table 4).

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Fig 2

Clinical outcomes between image-guided and angiography-guided PCI (A) Unmatched cohort. (B) PS-matched cohort. TV-MI, target vessel myocardial infarction; TLR, ischemia-driven target vessel revascularization; PCI, percutaneous coronary intervention.

Table 3

Clinical outcomes between image-guided and angiography-guided PCI.

(A) Unmatched cohort

Outcomes
Angiography-guided PCI (n = 7137)Image-guided PCI
(n = 2134)
P value
Target lesion failure (%)485 (6.8)113 (5.3)0.015
All cardiac deaths (%)283 (4.0)58 (2.7)0.009
Target vessel myocardial infarction (%)103 (1.4)18 (0.8)0.042
Ischemia-driven target vessel revascularization (%)171 (2.4)51 (2.4)>0.99
(B) PS-matched cohort

Outcomes
Angiography-guided PCI (n = 2089)Image-guided PCI
(n = 2089)
P value
Target lesion failure (%)143 (6.8)110 (5.3)0.038
All cardiac deaths (%)85 (4.1)57 (2.7)0.021
Target vessel myocardial infarction (%)30 (1.4)18 (0.9)0.11
Ischemia-driven target vessel revascularization (%)52 (2.5)49 (2.3)0.84

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Data are expressed as mean ± standard deviation (SD) or number (percent).

Table 4

Comparing image-guided and angiography-Guided PCI using a stratified Cox proportional hazards model in the PS-matched cohort.

OutcomesHazard Ratio95% Confidence IntervalP value
Target lesion failure (%)0.760.59–0.980.035
All cardiac deaths (%)0.670.48–0.920.016
Target vessel myocardial infarction (%)0.590.33–1.070.08
Ischemia driven target vessel revascularization (%)0.940.63–1.390.769

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The survival analysis, depicted using Kaplan–Meier curves, is presented in Fig 3. In the unmatched population, the 3-year cumulative incidences of TLF, cardiac death, and target vessel myocardial infarction were statistically lower in the image-guided PCI group than in the angiography-guided PCI (6.8% vs 5.3%, log-rank p = 0.016; 4.0% vs 2.7%, log-rank p = 0.008; 1.4% vs 0.8%, log-rank p = 0.033). The cumulative incidences of TLF and cardiac deaths remained significantly low in the image-guided PCI group (6.8% vs 5.3%, log-rank p = 0.036; 4.1% vs 2.7%, log-rank p = 0.018) following PS matching, except target vessel myocardial infarction (1.4% vs 0.9%, log-rank p = 0.083).

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Fig 3

Kaplan–Meier survival analysis comparing outcomes between image-guided and angiography-guided PCI (A) Unmatched cohort. (B) PS-matched cohort. PCI, percutaneous coronary intervention.

In the subgroup analysis, clinical outcomes were compared between the IVUS- and OCT-guided PCI groups (Fig 4 and Table 5). All outcomes, including TLF, cardiac death, treated vessel myocardial infarction, and ischemia-driven target vessel revascularization, were statistically similar between the OCT- and IVUS-guided PCI groups in the unmatched and PS-matched cohorts. Furthermore, in the survival analysis, clinical outcomes between the IVUS- and OCT-guided PCI groups were similar, both before and after PS matching, as illustrated in Fig 5.

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Fig 4

Clinical outcomes between IVUS- and OCT-guided PCI (A) Unmatched cohort. (B) PS-matched cohort. TV-MI, target vessel myocardial infarction; TLR, ischemia-driven target vessel revascularization; PCI, percutaneous coronary intervention; IVUS, intravascular ultrasound; OCT, optical coherence tomography.

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Fig 5

Kaplan–Meier survival analysis comparing outcomes between IVUS-guided and OCT-guided PCI (A) Unmatched cohort. (B) PS-matched cohort. PCI, percutaneous coronary intervention; IVUS, intravascular ultrasound; OCT, optical coherence tomography.

Table 5

Clinical outcomes between IVUS-guided and OCT-guided PCI.

(A) Unmatched cohort

Outcomes
IVUS-guided PCI
(n = 1919)
OCT-guided PCI
(n = 215)
P value
Target lesion failure (%)103 (5.4)10 (4.7)0.776
All cardiac death (%)54 (2.8)4 (1.9)0.552
Target vessel myocardial infarction (%)14 (0.7)4 (1.9)0.185
Ischemia-driven target vessel revascularization (%)45 (2.3)6 (2.8)0.865
(B) PS-matched cohort

Outcomes
IVUS-guided PCI
(n = 419)
OCT-guided PCI
(n = 214)
P value
Target lesion failure (%)22 (5.3)10 (4.7)0.903
All cardiac death (%)11 (2.6)4 (1.9)0.752
Target vessel myocardial infarction (%)5 (1.2)4 (1.9)0.745
Ischemia-driven target vessel revascularization (%)9 (2.1)6 (2.8)0.813

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Data are expressed as mean ± standard deviation (SD) or number (percent).

Discussion

In this study, we found that image-guided PCI in AMI resulted in more favorable clinical outcomes compared with angiography-guided PCI, based on data from a large-scale, multicenter, nationwide registry. Additional clinical implications of our study are as follows: First, our study included only AMI patients and was followed up for 3 years. Several studies have explored the importance of image guidance in coronary interventions. However, contrary to previous research that included a mix of conditions like chronic coronary syndrome and acute coronary syndrome, our study focused on a specific subset of patients with AMI. Furthermore, the follow-up duration of this study was considerably longer than that of previous studies. Second, the estimated frequency of IVUS or OCT use in patients with AMI in Korea was 23.0%, which is consistent with the IVUS usage rate reported in another Korean registry regarding myocardial infarction and is considerably higher than the IVUS usage rate in the United States (3.17%) [11,12]. Third, it has been well established recently that OCT correlates effectively with the IVUS measurements when investigating lesion characteristics [1,13,14]. Despite the similar capabilities of OCT, most previous research compared IVUS-guided PCI with angiography-guided PCI [8,15,16]. In this study, however, we have shown the favorable outcomes associated with both IVUS and OCT in AMI. Additionally, the subgroup analysis regarding clinical outcomes within the image-guided PCI group suggests that OCT is comparable to IVUS and can be used as an alternative to IVUS for stent optimization in patients with AMI.

This study has several limitations. First, it was a retrospective cohort study based on registry data. Although we used the PS-matched cohort to analyze between-group differences, the existence of confounding factors cannot be ruled out. Furthermore, the decision to use IVUS, OCT, or angiography only was predominantly made by treating cardiologists and centers, potentially altering the results and rationale of the treating interventionists. Moreover, the absence of definitive criteria for image-guided stent optimization indicates that the experience of the operator and the policies of the institution may influence clinical outcomes. Finally, a substantial disparity in the number of patients between the IVUS and OCT groups was present.

Conclusion

This large-scale, nationwide registry reveals that image-guided PCI, including IVUS and OCT, is associated with favorable clinical outcomes in patients with AMI. Additionally, OCT-guided PCI is not inferior to IVUS-guided PCI and can be used as an alternative in patients with AMI.

Acknowledgments

We appreciate the contribution of the KAMIR-NIH investigators: Myung Ho Jeong, MD (The lead investigator), Chonnam National University Hospital, Gwangju, Republic of Korea, Tae Hoon Ahn, MD, Department of Cardiology, Gil Medical Center, Gachon University College of Medicine, Incheon, Republic of Korea, Ki-Bae Seung, MD, Cardiology Division, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea, Chong-Jin Kim, MD, Kyunghee University Hospital at Gangdong, Seoul, Republic of Korea, Shung Chull Chae, MD, Department of Internal Medicine, Kyungpook National University Hospital, Daegu, Republic of Korea, Jin-Yong Hwang, MD, Department of Internal Medicine, Gyeonsang National University School of Medicine, Gyeongsang National University Hospital, Jinju, Republic of Korea, Seung-Ho Hur, MD, Keimyung University Dongsan Medical Center, Cardiovascular Medicine, Deagu, Republic of Korea, SeungWoon Rha, MD, Cardiovascular Center, Korea University Guro Hospital, Seoul, Republic of Korea, Kwang Soo Cha, MD, Pusan National University Hospital, Busan, Republic of Korea, Chang-Hwan Yoon, MD, Cardiovascular Center, Seoul National University Bundang Hospital, Seongnam, Republic of Korea, Hyo-Soo Kim, MD, Cardiovascular Center, Department of Internal Medicine, Seoul, Republic of Korea, Hyeon-Cheol Gwon, MD, Heart Vascular and Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea, Jung-Hee Lee, MD, Division of Cardiology, Yeungnam University Medical Center, Yeungnam University College of Medicine, Daegu, Republic of Korea, Seok Kyu Oh, MD, Division of Cardiology, Department of Internal Medicine, Wonkwang University School of Medicine, Iksan, Republic of Korea, Junghan Yoon, MD, Division of Cardiology, Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju Severance Christian Hospital, Wonju, Republic of Korea, Jei Keon Chae, MD, Division of Cardiology, Department of Internal Medicine, Chonbuk National University Medical School, Jeonju, Republic of Korea, Seung-Jae Joo, MD, Department of Internal Medicine, Jeju National University College of Medicine, Jeju, Republic of Korea, In-Whan Seong, MD, Department of Internal Medicine, Chungnam National University Hospital, Chungnam National University of Medicine, Daejeon, Republic of Korea, Kyung-Kuk Hwang, MD, Department of Internal Medicine, Chungbuk National University College of Medicine, Chungbuk Regional Cardiovascular Center, Division of Cardiology, Department of Internal Medicine, Chungbuk National University Hospital, Cheongju, Republic of Korea, Doo-Il Kim, MD, Department of Internal Medicine, Inje University College of Medicine, Haeundae Paik hospital, Busan, Republic of Korea.

Funding Statement

This research was supported by the “National Institute of Health” research project (project No. 2016-ER6304-02). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Data Availability

The registry data used in this study are managed by a designated authority. Notably, these data contain sensitive information that could potentially identify individual patients, making it challenging to disclose the data publicly. The complete dataset is available to researchers who fulfill the criteria for accessing confidential data, subject to approval by the KAMIR investigators, the Disease Control and Prevention and the Korea Health Technology R&D Project, Ministry of Health & Welfare. Please refer to the following contact information for inquiries about data access permissions: Bo Ram Son KAMIR Team CRC The Heart Center of Chonnam National University Hospital 42 Jebong-ro, Donggu, Gwangju, Korea Tel: +82-62-220-5272 E-mail: moc.revan@0675673a.

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Long-term clinical outcomes of image-guided percutaneous coronary intervention in acute myocardial infarction from the Korea Acute Myocardial Infarction Registry (2024)

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