Circulation Journal
Online ISSN : 1347-4820
Print ISSN : 1346-9843
ISSN-L : 1346-9843

This article has now been updated. Please use the final version.

Comparison of the OPTIVUS-Complex PCI Multivessel Cohort With the Historical CREDO-Kyoto Registry Cohort-3
Ko YamamotoHiroki ShiomiTakeshi MorimotoHiroki WatanabeAkiyoshi MiyazawaKyohei YamajiMasanobu OhyaSunao NakamuraSatoru MitomoSatoru SuwaTakenori DomeiShojiro TatsushimaKoh OnoHiroki SakamotoKiyotaka ShimamuraMasataka ShigetoshiRyoji TaniguchiYuji NishimotoHideki OkayamaKensho MatsudaKenji NakatsumaYohei TakayamaJun KuribaraHidekuni KirigayaKohei YonedaYuta ImaiUmihiko KanekoHiroshi UedaKota KomiyamaNaotaka OkamotoSatoru SasakiKengo TanabeMitsuru AbeKiyoshi HibiKazushige KadotaKenji AndoTakeshi Kimura on behalf of the OPTIVUS-Complex PCI Investigators
Author information
JOURNAL OPEN ACCESS FULL-TEXT HTML Advance online publication
Supplementary material

Article ID: CJ-22-0837

Details
Abstract

Background: There is a paucity of data on the effect of optimal intravascular ultrasound (IVUS)-guided percutaneous coronary intervention (PCI) compared with standard PCI or coronary artery bypass grafting (CABG) in patients with multivessel disease.

Methods and Results: The OPTIVUS-Complex PCI study multivessel cohort was a prospective multicenter single-arm study enrolling 1,021 patients undergoing multivessel PCI including the left anterior descending coronary artery using IVUS aiming to meet the prespecified criteria for optimal stent expansion. We conducted propensity score matching analyses between the OPTIVUS group and historical PCI or CABG control groups from the CREDO-Kyoto registry cohort-3 (1,565 and 899 patients) fulfilling the inclusion criteria for this study. The primary endpoint was a composite of death, myocardial infarction, stroke, or any coronary revascularization. In the propensity score-matched cohort (OPTIVUS vs. historical PCI control: 926 patients in each group; OPTIVUS vs. historical CABG control: 436 patients in each group), the cumulative 1-year incidence of the primary endpoint was significantly lower in the OPTIVUS group than in the historical PCI control group (10.4% vs. 23.3%; log-rank P<0.001) or the historical CABG control group (11.8% vs. 16.5%; log-rank P=0.02).

Conclusions: IVUS-guided PCI targeting the OPTIVUS criteria combined with contemporary clinical practice was associated with superior clinical outcomes at 1 year compared with not only the historical PCI control, but also the historical CABG control.

The 1-year results of the OPTIVUS-Complex PCI (Optimal Intravascular Ultrasound Guided Complex Percutaneous Coronary Intervention) study multivessel cohort showed that intravascular ultrasound (IVUS)-guided percutaneous coronary intervention (PCI) targeting the prespecified optimal IVUS criteria (OPTIVUS criteria) was associated with significantly and numerically lower rates of the primary cardiovascular composite endpoint compared with the predefined performance goals derived from patients undergoing PCI and coronary artery bypass grafting (CABG), respectively, in the CREDO-Kyoto (Coronary REvascularization Demonstrating Outcome Study in Kyoto) Registry Cohort-2 of patients with multivessel disease including the left anterior descending coronary artery (LAD) target.1 However, the patient population in whom the performance goals were estimated underwent coronary revascularization between 2005 and 2007, a time when clinical practice was much different from contemporary clinical practice in terms of target lesion selection, coronary stent design, interventional and surgical techniques, and pharmacological therapy.2 In addition, due to lack of IVUS data in the CREDO-Kyoto Registry Cohort-2, we could not assess whether IVUS-guided PCI targeting the prespecified IVUS criteria in OPTIVUS resulted in optimal stent expansion compared with PCI using IVUS without a specific target. To overcome these limitations, we performed a prespecified analysis comparing the IVUS data and clinical outcomes between the OPTIVUS and more recent historical control populations who underwent PCI or CABG in the new-generation drug-eluting stent (DES) era.

Methods

Study Design and Population

The OPTIVUS-Complex PCI study was a prospective multicenter single-arm study that enrolled patients undergoing left main coronary artery (LMCA) PCI or multivessel PCI including a target lesion in the LAD. The PCI operators were mandated to perform optimal IVUS-guided PCI with an intention to meet the prespecified criteria (OPTIVUS criteria) for optimal stent implantation. This paper reports the multivessel cohort; the study design, patient enrollment, and main results at 1 year have been reported in detail previously.1 Briefly, between March 2019 and April 2021, 1,023 patients who underwent IVUS-guided multivessel PCI including an LAD target in 90 Japanese centers were enrolled. Excluding 2 patients who withdrew consent, 1,021 patients constituted the present study population of the multivessel cohort from the OPTIVUS-Complex PCI study (Figure 1). As the historical control groups, we selected the patients in the CREDO-Kyoto PCI/CABG registry cohort-3 (CREDO-Kyoto Registry Cohort-3), which was a multicenter registry enrolling consecutive patients who underwent first coronary revascularization with PCI or isolated CABG at 22 Japanese centers between January 2011 and December 2013.3 Among 14,927 patients in CREDO-Kyoto Registry Cohort-3, we extracted those patients who fulfilled the inclusion criteria for the OPTIVUS-Complex PCI multivessel cohort (historical PCI control group: n=1,565; historical CABG control group: n=899; Figure 1). The extraction process and 5-year clinical outcomes of the historical control groups have been reported in detail previously.3 This study was performed in accordance with the Declaration of Helsinki.

Figure 1.

Study flowchart. CABG, coronary artery bypass grafting; CREDO-Kyoto, Coronary REvascularization Demonstrating Outcome Study in Kyoto; IVUS, intravascular ultrasound; LAD, left anterior descending coronary artery; OPTIVUS, OPTimal IntraVascular UltraSound; PCI, percutaneous coronary intervention.

Study Procedures and OPTIVUS Criteria

Enrolled patients were to undergo PCI using platinum-chromium everolimus-eluting stents (Synergy; Boston Scientific, Marlborough, MA, USA). IVUS-guided PCI was mandatory to optimize stent expansion and apposition according to the OPTIVUS criteria. The most important criteria for stent expansion in lesions other than LMCA were as follows: minimum stent area (MSA) greater than the distal reference lumen area if the stent length was ≥28 mm and MSA greater than 0.8 × average reference lumen area if the stent length was <28 mm (average reference lumen area = [proximal reference lumen area + distal reference lumen area] / 2). All OPTIVUS criteria are described in the Supplementary File. These criteria were selected according to the IVUS-XPL (Impact of IntraVascular UltraSound Guidance on Outcomes of Xience Prime Stents in Long Lesions) trial and the expert consensus document of the European Association of Percutaneous Cardiovascular Interventions.4,5 Preintervention IVUS was also recommended to help choose the appropriate balloon/stent sizes and the modalities for lesion preparation. Quantitative and qualitative coronary angiography and IVUS analyses were performed by an independent core laboratory (Cardiocore, Tokyo, Japan). Among the 1,021 study patients, coronary angiograms and IVUS images were available for 1,021 (100%) and 1,013 (99.2%) patients, respectively, and were deemed suitable for evaluation by the core laboratory for 1,017 (99.6%), and 982 (96.2%) patients, respectively. In the historical PCI control in the CREDO-Kyoto Registry Cohort-3 (n=1,565), 200 patients were randomly selected for the quantitative and qualitative coronary angiography and IVUS analyses by the same core laboratory. Among these 200 patients, coronary angiograms and IVUS images were available for 160 (80.0%) and 145 (72.5%) patients, respectively, and were deemed suitable for evaluation by the core laboratory for 144 (72.0%) and 133 (66.5%) patients, respectively.

In addition to the IVUS-related recommendations, there were other recommendations to adopt the contemporary clinical, procedural, and pharmacological practice. Target lesions were to be selected based on a stress imaging or physiological assessment (fractional flow reserve [FFR] or instantaneous wave-free ratio [iFR]). Radial access was recommended as the standard approach. PCI for chronic total occlusion (CTO) was to be performed by a dedicated CTO operator. The use of rotational atherectomy was recommended in severely calcified lesions. A proximal optimization technique was recommended in the case of bifurcation lesions. Kissing balloon inflation was recommended if the bifurcation lesions were treated with 2-sent techniques. Scheduled follow-up coronary angiography after PCI was discouraged in asymptomatic patients. Recommended pharmacological management included the use of high-intensity statins therapy with the maximum approved dose of strong statins in Japan, and short-duration (3–6 months) dual antiplatelet therapy (DAPT) after PCI.

Endpoints

The primary endpoint was major cardiac and cerebrovascular events (MACCE), defined as a composite of death from any cause, myocardial infarction, stroke, or any coronary revascularization. Myocardial infarction was adjudicated according to the Academic Research Consortium definition.6 Stroke was defined as ischemic or hemorrhagic stroke with neurological symptoms lasting >24 h. Scheduled staged coronary revascularization procedures performed within 3 months after the index PCI were not regarded as follow-up events, but included in the index procedure. The definitions of secondary endpoints are provided in the Supplementary File. All endpoints were assessed at 1 year (between 335 and 394 days), with censoring on Day 366. All clinical events comprising the primary endpoint were adjudicated based on the source documents by the independent clinical event committee.

Statistical Analysis

Categorical variables are presented as numbers and percentages and were compared using the Chi-squared test. Continuous variables are presented as the mean±SD or as the median with interquartile range and were compared using Student’s t-test or the Wilcoxon rank-sum test depending on their distribution. Cumulative incidence was estimated with the Kaplan-Meier method, and differences were assessed with log-rank tests.

Due to the different nature of cohorts between the OPTIVUS group and the historical PCI or CABG control groups in the CREDO-Kyoto registry cohort-3, we used propensity score matching as the main analysis. We used a multivariable logistic regression model to develop a propensity score with 21 clinically relevant variables (age ≥75 years, male sex, body mass index <25 kg/m2, acute coronary syndrome, hypertension, diabetes, current smoking, heart failure, prior myocardial infarction, prior stroke, peripheral vascular disease, estimated glomerular filtration rate <30 mL/min/1.73 m2 without hemodialysis, hemodialysis, prior atrial fibrillation, hemoglobin <11.0 g/dL, platelet count <100×109/L, malignancy, severe frailty, extent of coronary artery disease, proximal LAD target, CTO target). To create the propensity score-matched cohort, patients in the OPTIVUS group were matched to those in the PCI or CABG groups in the CREDO-Kyoto Registry Cohort-3 using a 1 : 1 greedy matching technique. We evaluated hazard ratios (HRs) with their 95% confidence intervals (CIs) to assess the risk of the OPTIVUS group relative to the historical PCI or CABG control group for the primary and secondary endpoints. In addition, we conducted a 30-day landmark analysis for the primary endpoint. Moreover, we conducted subgroup analysis stratified by the SYNTAX score for the primary endpoint. As a sensitivity analysis, we constructed multivariable Cox proportional hazard models to assess the risk of the OPTIVUS group relative to the historical PCI or CABG control group in the entire study population before matching. Detailed methods of the multivariable analysis are provided in the Supplementary File.

All P values are 2-tailed and P<0.05 was considered statistically significant. All analyses were performed with JMP version 15.2 software (SAS Institute Inc., Cary, NC, USA) and R version 4.1.2 (R Foundation for Statistical Computing, Vienna, Austria).

Results

Baseline Characteristics: OPTIVUS vs. Historical PCI Control

In the entire cohort, patients in the OPTIVUS group were older, more often men, and more often presented as acute coronary syndrome than those in the historical PCI control group (Table 1). Patients in the OPTIVUS group more often had diabetes, but less often had other comorbidities, such as heart failure, mitral regurgitation, history of stroke, and anemia, compared with the historical PCI control group. The prevalence of severe frailty did not differ between the 2 groups. Regarding angiographic and procedural characteristics, invasive FFR or iFR and the radial approach were more often used in patients in the OPTIVUS than historical PCI control group. Compared with the historical PCI control group, patients in the OPTIVUS group less often had complex coronary anatomy, as indicated by a lower SYNTAX score and a lower prevalence of a CTO target. The prevalence of procedural complications was lower in patients in the OPTIVUS than historical PCI control group. In terms of medication at discharge, 44.3% of patients selected prasugrel as a P2Y12 inhibitor in the OPTIVUS group, whereas the vast majority of patients in the historical PCI control group selected clopidogrel as the P2Y12 inhibitor. The prescription rates of statins, high-intensity statins, β-blockers, and proton pump inhibitors or histamine H2 receptor blockers were higher in the OPTIVUS than historical PCI control group, whereas the prescription rate of angiotensin converting enzyme inhibitors (ACEI) or angiotensin II receptor blockers (ARB) was higher in the historical PCI control group than in the OPTIVUS group (Table 1).

Table 1. Baseline Characteristics for the OPTIVUS and CREDO-Kyoto Registry Cohort-3 Historical PCI Control Groups
  Entire cohort Propensity score-matched cohort
OPTIVUS
(n=1,021)
PCI historical
control
(n=1,565)
P value OPTIVUS
(n=926)
PCI historical
control
(n=926)
P value
Clinical characteristics
 Age (years) 71.2±10.0 70.2±10.3 0.02 71.1±10.0 70.6±10.5 0.28
  ≥75 years 427 (41.8) 566 (36.2) 0.004 372 (40.2) 375 (40.5) 0.89
 Men 803 (78.6) 1,112 (71.1) <0.001 716 (77.3) 719 (77.6) 0.87
 BMI (kg/m2) 24.1±3.5 24.0±3.7 0.77 24.1±3.6 24.2±3.8 0.60
  BMI <25 kg/m2 666 (65.2) 1,007 (64.3) 0.65 605 (65.3) 577 (62.3) 0.18
 Acute coronary syndrome 145 (14.2) 89 (5.7) <0.001 82 (8.9) 85 (9.2) 0.81
  Acute myocardial infarction 68 (6.7) 70 (4.5) 0.02 44 (4.8) 68 (7.3) 0.02
  Unstable angina 77 (7.5) 19 (1.2) <0.001 38 (4.1) 17 (1.8) 0.004
 Hypertension 860 (84.2) 1,351 (86.3) 0.14 785 (84.8) 789 (85.2) 0.80
 Diabetes 560 (54.8) 740 (47.3) <0.001 492 (53.1) 492 (53.1) 1.00
  On insulin therapy 95 (9.3) 175 (11.2) 0.13 89 (9.6) 111 (12.0) 0.10
 Current smoking 176 (17.2) 326 (20.8) 0.02 166 (17.9) 175 (18.9) 0.59
 HF 178 (17.4) 334 (21.3) 0.02 171 (18.5) 149 (16.1) 0.18
  Prior hospitalization for HF 87 (8.5) 117 (7.5) 0.34 85 (9.2) 55 (5.9) 0.01
  Current HF at index hospitalization 133 (13.0) 263 (16.8) 0.01 126 (13.6) 118 (12.7) 0.58
 LVEF (%) 57.7±12.3 59.3±13.5 0.002 57.4±12.3 60.3±12.8 <0.001
  LVEF <40% 114 (11.2) 157 (11.2) 0.94 108 (11.8) 73 (8.8) 0.04
 Mitral regurgitation grade ≥3/4 30 (2.9) 96 (6.8) <0.001 29 (3.1) 40 (4.8) 0.08
 Prior myocardial infarction 180 (17.6) 303 (19.4) 0.27 165 (17.8) 156 (16.8) 0.58
 Prior stroke 119 (11.7) 230 (14.7) 0.03 114 (12.3) 123 (13.3) 0.53
 Peripheral vascular disease 116 (11.4) 164 (10.5) 0.48 99 (10.7) 105 (11.3) 0.66
 eGFR <30 mL/min/1.73 m2 or hemodialysis 97 (9.5) 139 (8.9) 0.59 86 (9.3) 82 (8.9) 0.75
  eGFR <30 mL/min/1.73 m2 without
hemodialysis
38 (3.7) 51 (3.3) 0.53 36 (3.9) 33 (3.6) 0.71
  Hemodialysis 59 (5.8) 88 (5.6) 0.87 50 (5.4) 49 (5.3) 0.92
 AF 85 (8.3) 129 (8.2) 0.94 80 (8.6) 75 (8.1) 0.68
 Anemia (hemoglobin <11.0 g/dL) 96 (9.4) 213 (13.6) 0.001 92 (9.9) 88 (9.5) 0.75
 Thrombocytopenia (platelets <100×109/L) 10 (1.0) 24 (1.5) 0.23 10 (1.1) 11 (1.2) 0.83
 Malignancy 126 (12.3) 179 (11.4) 0.49 117 (12.6) 117 (12.6) 1.00
 Severe frailtyA 39 (3.8) 58 (3.7) 0.88 37 (4.0) 34 (3.7) 0.72
 ARC-HBR 539 (52.8) 799 (51.1) 0.39 487 (52.6) 466 (50.3) 0.33
Procedural characteristics
 Preprocedure tests 215 (21.1) 376 (24.0) 0.08 199 (21.5) 220 (23.8) 0.24
  Stress electrocardiogram 104 (10.2) 214 (13.7)   97 (10.5) 131 (14.1)  
  SPECT 94 (9.2) 182 (11.6)   86 (9.3) 105 (11.3)  
  Cardiac magnetic resonance 9 (0.9) 1 (0.1)   7 (0.8) 0 (0)  
  Stress echocardiography 3 (0.3) 10 (0.6)   3 (0.3) 6 (0.6)  
  FFR-CT 10 (1.0) 0 (0)   10 (1.1) 0 (0)  
 Invasive FFR or iFR 304 (29.8) 139 (8.9) <0.001 282 (30.5) 89 (9.6) <0.001
 Intracoronary imaging 1,021 (100) 1,355 (86.6) <0.001 926 (100) 801 (86.5) <0.001
  IVUS 1,021 (100) 1,352 (86.4)   926 (100) 800 (86.4)  
  OCT 0 (0) 70 (4.5)   0 (0) 47 (5.1)  
 Approach
  Radial artery 893 (87.5) 885 (56.5) <0.001 811 (87.6) 544 (58.7) <0.001
  Femoral artery 235 (23.0) 674 (43.1) <0.001 216 (23.3) 378 (40.8) <0.001
  Brachial artery 56 (5.5) 304 (19.4) <0.001 54 (5.8) 173 (18.7) <0.001
 Extent of coronary artery disease     0.94     0.33
  2-vessel disease 813 (79.6) 1,248 (79.7)   744 (80.3) 727 (78.5)  
  3-vessel disease 208 (20.4) 317 (20.3)   182 (19.7) 199 (21.5)  
 SYNTAX scoreB 18.1±7.2 23.9±8.8 <0.001 18.2±7.3 23.5±8.6 <0.001
  Low (<23) 794 (78.5) 395 (46.3) <0.001   719 (78.4) 243 (49.1) <0.001  
  Intermediate (23–32) 173 (17.1) 323 (37.9) 154 (16.8) 174 (35.2)
  High (≥33) 44 (4.4) 135 (15.8) 44 (4.8) 78 (15.8)
 No. target lesions 2.5±0.8 2.5±0.7 0.06 2.5±0.8 2.5±0.7 0.76
 Total no. stents 3.0 [2.0–4.0] 3.0 [2.0–4.0] <0.001 3.0 [2.0–4.0] 3.0 [2.0–4.0] <0.001
 Total stent length (mm) 80.1±37.5 77.5±40.1 0.10 79.8±37.5 78.4±40.8 0.43
 Target
  Proximal LAD 1,009 (98.8) 1,508 (96.4) <0.001 914 (98.7) 916 (98.9) 0.67
  Chronic total occlusion 151 (14.8) 359 (22.9) <0.001 150 (16.2) 162 (17.5) 0.46
  Bifurcation 616 (60.3) 941 (60.1) 0.92 558 (60.3) 566 (61.1) 0.70
   Bifurcation with 2 stents 22 (2.2) 145 (9.3) <0.001 19 (2.1) 91 (9.8) <0.001
 New-generation DES 1,021 (100) 1,565 (100)   926 (100) 926 (100)  
  Everolimus-eluting stent (SYNERGYTM) 851 (83.3) 429 (27.4) <0.001 769 (83.0) 250 (27.0) <0.001
 Staged PCI 775 (75.9) 1,000 (63.9) <0.001 702 (75.8) 597 (64.5) <0.001
 PCI procedure success (per patient)C 1,021 (100) 1,565 (100)   926 (100) 926 (100)  
  Complete success 999 (97.8) 1,487 (95.0) <0.001 904 (97.6) 883 (95.4) 0.01
  Partial success 22 (2.2) 78 (5.0) <0.001 22 (2.4) 43 (4.6) 0.01
 Procedural complications 67 (6.6) 187 (11.9) <0.001 63 (6.8) 114 (12.3) <0.001
  Side branch occlusion (post TIMI grade ≤2) 22 (2.2) 60 (3.8)   21 (2.3) 39 (4.2)  
  Slow flow 32 (3.1) 93 (5.9)   30 (3.2) 61 (6.6)  
  Acute occlusion 6 (0.6) 31 (2.0)   6 (0.6) 18 (1.9)  
  Perforation 12 (1.2) 25 (1.6)   11 (1.2) 14 (1.5)  
  Cardiac tamponade 0 (0) 3 (0.2)   0 (0) 3 (0.3)  
  Stent dislodgement 1 (0.1) 4 (0.3)   1 (0.1) 0 (0)  
  Stent thrombosis 0 (0) 0 (0)   0 (0) 0 (0)  
 No. patients with IVUS evaluation in the core
IVUS laboratoryD
982 133   890 83  
  OPTIVUS criteria     0.005     0.17
   Met in all stented lesions 394 (40.1) 53 (39.8)   359 (40.3) 31 (37.3)  
   Not met in at least 1 lesion 402 (40.9) 40 (30.1)   361 (40.6) 29 (34.9)  
   Not met in any lesion 186 (18.9) 40 (30.1)   170 (19.1) 23 (27.7)  
Baseline medications
 Antiplatelet therapy
  P2Y12 inhibitors 1,018 (99.7) 1,561 (99.7) 0.86 923 (99.7) 923 (99.7) 1.00
   Ticlopidine 0 (0) 34 (2.2)   0 (0) 19 (2.1)  
   Clopidogrel 563 (55.1) 1,521 (97.2)   521 (56.3) 899 (97.1)  
   Prasugrel 452 (44.3) 0 (0)   399 (43.1) 0 (0)  
   Unknown 0 (0) 6 (0.4)   0 (0.0) 5 (0.5)  
  Aspirin 960 (94.0) 1,558 (99.6) <0.001 869 (93.8) 921 (99.5) <0.001
  Cilostazol 6 (0.6) 45 (2.9) <0.001 6 (0.6) 28 (3.0) <0.001
 Other medications
  Statins 936 (91.7) 1,206 (77.1) <0.001 847 (91.5) 714 (77.1) <0.001
   High-intensity statinsE 374 (36.6) 23 (1.5) <0.001 348 (37.6) 12 (1.3) <0.001
  β-blockers 454 (44.5) 532 (34.0) <0.001 414 (44.7) 307 (33.2) <0.001
  ACEI/ARB 584 (57.2) 993 (63.5) 0.001 536 (57.9) 577 (62.3) 0.052
  Nitrates 148 (14.5) 387 (24.7) <0.001 136 (14.7) 226 (24.4) <0.001
  Calcium channel blockers 444 (43.5) 787 (50.3) 0.001 402 (43.4) 471 (50.9) 0.001
  Oral anticoagulants 99 (9.7) 130 (8.3) 0.22 93 (10.0) 71 (7.7) 0.07
   Warfarin 19 (1.9) 114 (7.3) <0.001 19 (2.1) 60 (6.5) <0.001
   DOAC 80 (7.8) 16 (1.0) <0.001 74 (8.0) 11 (1.2) <0.001
  Oral anticoagulants in patients with AF 63/85 (74.1) 83/129 (64.3) 0.13 59/80 (73.8) 50/75 (66.7) 0.34
   Warfarin in patients with AF 7/85 (8.2) 69/129 (53.5) <0.001 7/80 (8.8) 40/75 (53.3) <0.001
   DOAC in patients with AF 56/85 (65.9) 14/129 (10.9) <0.001 52/80 (65.0) 10/75 (13.3) <0.001
  PPI or histamine H2 receptor blockers 903 (88.4) 1,126 (71.9) <0.001 818 (88.3) 660 (71.3) <0.001
   PPI 876 (85.8) 960 (61.3) <0.001 793 (85.6) 569 (61.4) <0.001
   Histamine H2 receptor blockers 28 (2.7) 174 (11.1) <0.001 26 (2.8) 96 (10.4) <0.001

Categorical variables are presented as numbers and percentages. Continuous variables are presented as the mean±SD or median [interquartile range]. Body mass index (BMI) was missing for 7 patients in the CREDO-Kyoto registry cohort-3. Left ventricular ejection fraction (LVEF) was missing for 7 patients in OPTIVUS and for 157 patients in the CREDO-Kyoto Registry Cohort-3. Mitral regurgitation was missing for 152 patients in the CREDO-Kyoto Registry Cohort-3. SYNTAX score was missing for 10 patients in OPTIVUS and for 712 patients in the CREDO-Kyoto Registry Cohort-3. ASevere frailty was regarded as present when the hospital chart documented an inability to perform usual activities of daily living. BThe SYNTAX score in the CREDO-Kyoto Registry Cohort-3 was calculated among patients with 3-vessel disease by SYNTAX score committee members and among 144 patients who underwent angiographic analysis in the core laboratory. CClinically successful percutaneous coronary intervention (PCI) was defined as successful dilatation of the target lesion with residual diameter stenosis <50%. DIn the OPTIVUS study, angiographic and intravascular ultrasound (IVUS) analyses were to be performed in the core laboratory. Coronary angiograms and IVUS images were available and suitable for analysis for 1,017 (99.6%) and 982 (96.2%) patients, respectively. In the CREDO-Kyoto Registry Cohort-3, angiographic and IVUS analyses in the core laboratory were to be performed in 200 randomly selected patients, and coronary angiograms and IVUS images were available and suitable for analysis for 144 (72.0%) and 133 (66.5%) patients, respectively. EHigh-intensity statins therapy was defined as the use of maximum approved doses of strong statins in Japan (e.g., rosuvastatin 10 mg, atorvastatin 20 mg, or pitavastatin 4 mg). ACEI, angiotensin converting enzyme inhibitor; AF, atrial fibrillation; ARB, angiotensin II receptor blocker; ARC-HBR, Academic Research Consortium for High Bleeding Risk; CREDO-Kyoto, Coronary REvascularization Demonstrating Outcome Study in Kyoto; CT, computed tomography; DES, drug-eluting stent; DOAC, direct oral anticoagulant; eGFR, estimated glomerular filtration rate; FFR, fractional flow reserve; HF, heart failure; iFR, instantaneous wave-free ratio; LAD, left anterior descending coronary artery; OPTIVUS, OPTimal IntraVascular UltraSound; PPI, proton pump inhibitors; SPECT, single photon emission computed tomography; TIMI, Thrombolysis in Myocardial Infarction.

In the propensity score-matched cohort, baseline characteristics were mostly well balanced between the OPTIVUS and historical PCI control groups, except for a lower left ventricular ejection fraction in the OPTIVUS group than in the historical PCI control group (Table 1).

Angiographic and Procedural Characteristics: OPTIVUS vs. Historical PCI Control

The mean SYNTAX score was lower in the OPTIVUS than historical PCI control group, which was not balanced even after propensity score matching (Table 1). Nevertheless, in the propensity score-matched cohort, there was no imbalance in those factors indicating procedural complexity, such as the number of target lesions and total stent length. Direct stenting was less often performed in lesions in the OPTIVUS than historical PCI control group, whereas post-dilatation was more often performed in lesions in the OPTIVUS than historical PCI control group (Table 2). The balloon size for post-dilatation was larger in the OPTIVUS than historical PCI control group. Mean MSA was larger in the OPTIVUS than historical PCI control group (5.7 vs. 5.3 mm2, respectively; P=0.02). The rate of meeting the OPTIVUS criteria was numerically, but not statistically, higher in the OPTIVUS than historical PCI control group (61.0% vs. 55.2%, respectively; P=0.09). In lesions with stent length ≥28 mm, the rate of meeting the OPTIVUS criteria was higher in the OPTIVUS than historical PCI control group, whereas there was no difference between the 2 groups in the case of lesions with a stent length <28 mm.

Table 2. Angiographic, Procedural, and IVUS Characteristics Evaluated in the Core Angiographic and IVUS Laboratory in the Entire Cohort: OPTIVUS vs. CREDO-Kyoto Registry Cohort-3 Historical PCI Control (Per Lesion Basis)
  OPTIVUS Historical PCI control P value
No. target lesions 2,595 3,889  
Angiographic and procedural characteristics
 No. lesions with angiographic evaluation in the core
angiographic laboratory
2,299 341  
 Preprocedure
  Lesion length (mm) 23.5±13.7 (n=2,072) 22.1±14.1 (n=304) 0.09
  Reference vessel diameter (mm) 2.6±0.6 (n=2,295) 2.6±0.5 (n=339) 0.24
  Minimum lumen diameter (mm) 0.8±0.4 (n=2,296) 0.9±0.4 (n=341) 0.09
  % Diameter stenosis 68.7±14.1 (n=2,296) 66.6±14.9 (n=341) 0.01
  Thrombus 53/2,297 (2.3) 12/341 (3.5) 0.18
  Total occlusion 174/2,297 (7.6) 27/341 (7.9) 0.82
  In-stent restenosis 81/2,297 (3.5) 0/341 (0) <0.001
  Bifurcation 1,092/2,297 (47.5) 158/341 (46.3) 0.68
  Moderate or severe calcification 722/2,297 (31.4) 94/341 (27.6) 0.15
 Index procedure
  Invasive FFR or iFR use 413/2,595 (15.9) 176/3,889 (4.5) <0.001
  IVUS use 2,529/2,595 (97.5) 2,993/3,889 (77.0) <0.001
  Stent use 2,379/2,595 (91.7) 3,703/3,889 (95.2) <0.001
  PCI procedure success 2,571/2,595 (99.1) 3,808/3,889 (97.9) <0.001
  No. stents used per lesion 1.0 [1.0–1.0] (n=2,377) 1.0 [1.0–2.0] (n=3,702) <0.001
  Stent length per lesion (mm) 34.4±18.5 (n=2,377) 32.8±20.6 (n=3,700) 0.002
  Minimum stent diameter (mm) 2.5 [2.5–3.0] (n=2,377) 2.75 [2.5–3.0] (n=3,701) <0.001
  Cutting or scoring balloon use 883/2,595 (34.0) 39/3,889 (1.0) <0.001
  Rotational atherectomy use 171/2,595 (6.6) 180/3,889 (4.6) 0.001
  Orbital atherectomy use 42/2,595 (1.6) 0/3,889 (0) <0.001
  Direct stenting 183/2,377 (7.7) 396/3,702 (10.7) <0.001
  Post-dilatation 1,838/2,377 (77.3) 2,716/3,702 (73.4) 0.001
   Maximum balloon size (mm) 3.2±0.6 (n=1,838) 3.0±0.6 (n=2,713) <0.001
 Post-procedure
  Minimum lumen diameter (mm)
   In-stent 2.5±0.5 (n=2,299) 2.5±0.5 (n=341) 0.61
   In-segment 2.2±0.6 (n=2,299) 2.2±0.6 (n=341) 0.99
  % Diameter stenosis
   In-stent 14.4±6.7 (n=2,299) 12.9±7.4 (n=341) <0.001
   In-segment 23.7±10.0 (n=2,299) 22.3±10.3 (n=341) 0.01
  Acute gain (mm)
   In-stent 1.7±0.5 (n=2,296) 1.7±0.5 (n=341) 0.06
   In-segment 1.4±0.6 (n=2,296) 1.3±0.6 (n=341) 0.20
IVUS analysis post-procedure
 No. lesions with IVUS evaluation in the core IVUS laboratory 2,046 230  
 Proximal reference vessel area (mm2) 16.1±5.6 (n=1,684) 15.8±4.5 (n=202) 0.52
 Proximal reference lumen area (mm2) 8.3±3.3 (n=2,046) 7.7±2.8 (n=230) 0.02
 Minimum stent area (mm2) 5.7±2.0 (n=2,046) 5.3±1.9 (n=230) 0.02
 Distal reference vessel area (mm2) 9.8±5.1 (n=1974) 9.5±4.4 (n=225) 0.55
 Distal reference lumen area (mm2) 5.8±2.6 (n=2,046) 5.6±2.2 (n=230) 0.26
 Thrombus or protrusion 261/2,046 (12.8) 4/230 (1.7) <0.001
 Incomplete stent apposition 745/2,046 (36.4) 70/230 (30.4) 0.07
 Dissection 96/2,046 (4.7) 10/230 (4.3) 0.81
 Meeting OPTIVUS criteria 1,246/2,044 (61.0) 127/230 (55.2) 0.09
  Stent length ≥28 mm 664/1,228 (54.1) 48/113 (42.5) 0.02
  Stent length <28 mm 582/816 (71.3) 79/117 (67.5) 0.40

In the OPTIVUS study, angiographic and IVUS analyses were to be performed in the core laboratory, and coronary angiograms and IVUS images were available and suitable for analysis for 2,299 (96.6%) and 2,046 (86.0%) lesions, respectively. In the CREDO-Kyoto Registry Cohort-3, angiographic and IVUS analyses were to be performed in the core laboratory in 462 stented lesions in 200 randomly selected patients, and coronary angiograms and IVUS images were available and suitable for analysis for 341 (73.8%) and 230 (49.8%) lesions, respectively. Abbreviations as in Table 1.

DAPT Discontinuation: OPTIVUS vs. Historical PCI Control

The cumulative incidence of DAPT discontinuation at 1 year was significantly higher in the OPTIVUS than historical PCI control group in the entire cohort (68.6% vs. 18.9%, respectively; log-rank P<0.001; Supplementary Figure 1). As an antiplatelet monotherapy after stopping DAPT in patients with DAPT discontinuation, P2Y12 inhibitors were continued in 60.8% of the patients in the OPTIVUS group, and in 18.3% of the patients in the historical PCI control group (Supplementary Table 1). In patients who were on oral anticoagulants at discharge from the index PCI hospitalization, the cumulative incidence of DAPT discontinuation at 1 year was significantly higher in the OPTIVUS than historical PCI control group in the entire cohort (97.0% vs. 28.5%, respectively; log-rank P<0.001; Supplementary Figure 2).

Follow-up Coronary Angiography: OPTIVUS vs. Historical PCI Control

The cumulative incidence of follow-up coronary angiography at 1 year was significantly lower in the OPTIVUS than historical PCI control group in the entire cohort (18.2% vs. 62.6%, respectively; log-rank P<0.001; Supplementary Figure 3).

Clinical Outcomes: OPTIVUS vs. Historical PCI Control

In the propensity score-matched cohort, the cumulative 1-year incidence of the primary endpoint was significantly lower in the OPTIVUS than historical PCI control group (10.4% vs. 23.3%, respectively [log-rank P<0.001]; HR 0.41, 95% CI 0.32–0.52, P<0.001; Table 3; Figure 2). The differences in the primary endpoint between the OPTIVUS and historical PCI control groups were mainly driven by differences in myocardial infarction and any coronary revascularization (Table 3; Supplementary Figure 4). The cumulative 1-year incidence of major bleeding (Bleeding Academic Research Consortium [BARC] type 3, 4, or 5) was lower in the OPTIVUS than historical PCI control group (Table 3; Supplementary Figure 4).

Table 3. Clinical Outcomes in the Propensity Score-Matched Cohort: OPTIVUS vs. CREDO-Kyoto Registry Cohort-3 Historical PCI Control
Endpoints No. (%) patients with eventA
(cumulative 1-year incidence)
HR (95% CI) P value
OPTIVUS
(n=926)
Historical PCI control
(n=926)
Primary endpointB 96 (10.4) 214 (23.3) 0.41 (0.32–0.52) <0.001
Secondary endpoints
 All-cause death 21 (2.3) 24 (2.6) 0.86 (0.48–1.55) 0.63
  Cardiovascular death 8 (0.9) 16 (1.7) 0.49 (0.21–1.15) 0.10
  Cardiac death 7 (0.8) 12 (1.3) 0.58 (0.23–1.47) 0.25
   Sudden cardiac death 3 (0.3) 7 (0.8) 0.42 (0.11–1.64) 0.21
  Non-cardiovascular death 13 (1.4) 8 (0.9) 1.60 (0.66–3.87) 0.29
 Myocardial infarction 13 (1.4) 52 (5.6) 0.24 (0.13–0.45) <0.001
  Spontaneous 5 (0.5) 5 (0.5) 0.99 (0.29–3.41) 0.98
  Periprocedural 8 (0.9) 47 (5.1) 0.17 (0.08–0.35) <0.001
 Definite stent thrombosis 2 (0.2) 2 (0.2) 0.99 (0.14–7.01) 0.99
 Stroke 5 (0.5) 13 (1.4) 0.38 (0.14–1.06) 0.07
  Ischemic stroke 3 (0.3) 9 (1.0) 0.33 (0.09–1.22) 0.10
  Hemorrhagic stroke 2 (0.2) 5 (0.6) 0.39 (0.08–2.03) 0.27
  Major strokeC 4 (0.4) 13 (1.4) 0.30 (0.10–0.93) 0.04
 Hospitalization for HF 18 (2.0) 35 (3.8) 0.50 (0.29–0.89) 0.02
 Major bleeding
  BARC type 3, 4, or 5 30 (3.3) 64 (7.0) 0.45 (0.29–0.70) <0.001
  BARC type 3 or 5 29 (3.2) 64 (7.0) 0.44 (0.28–0.68) <0.001
  BARC type 5 0 (0) 2 (0.2)    
 Target-vessel revascularization 55 (6.0) 122 (13.5) 0.43 (0.31–0.59) <0.001
  Clinically driven target-vessel revascularization 55 (6.0) 40 (4.4) 1.36 (0.91–2.04) 0.14
 Any coronary revascularization 64 (7.0) 145 (16.1) 0.41 (0.31–0.56) <0.001
  Clinically driven any coronary revascularization 64 (7.0) 51 (5.6) 1.24 (0.86–1.79) 0.25
 Composite of death, myocardial infarction, or stroke 39 (4.2) 83 (9.0) 0.45 (0.31–0.66) <0.001

APercentages are Kaplan-Meier estimates at 365 days. BThe primary endpoint was a composite of death, myocardial infarction, stroke, or any coronary revascularization. Definitions of the endpoints were provided in the Supplementary File. The hazard ratios (HRs) and 95% confidence intervals (CIs) of OPTIVUS relative to the historical PCI control were calculated using a Cox proportional hazard model. CMajor stroke was defined as modified Rankin scale ≥2. BARC, Bleeding Academic Research Consortium. Other abbreviations as in Table 1.

Figure 2.

Kaplan-Meier curves for the primary endpoint in the propensity score-matched cohort: OPTIVUS vs. the historical percutaneous coronary intervention (PCI) control in the CREDO-Kyoto Registry Cohort-3. Time-to-event curves through 1 year after the index PCI for the primary endpoint (a composite of death, myocardial infarction, stroke, or any coronary revascularization) are shown for the propensity score-matched cohorts in the OPTIVUS and historical PCI control. Cumulative incidence was estimated with the Kaplan-Meier method, and differences were assessed with the log-rank test. CREDO-Kyoto, Coronary REvascularization Demonstrating Outcome Study in Kyoto; OPTIVUS, OPTimal IntraVascular UltraSound.

In the 30-day landmark analysis, the cumulative incidence of the primary endpoint was significantly lower in the OPTIVUS than historical PCI control group within and beyond 30 days (Supplementary Table 2). In the subgroup analysis stratified by SYNTAX score, there was no significant interaction between the SYNTAX score tertiles and the effect of the OPTIVUS relative to the historical PCI control group (Supplementary Table 3).

In the sensitivity analysis, the results in the entire cohort were fully consistent with those in the propensity score-matched cohort (Supplementary Figure 5; Supplementary Table 4).

Baseline Characteristics: OPTIVUS vs. Historical CABG Control

In the entire cohort, patients in the OPTIVUS group were older and more often presented as acute coronary syndrome than those in the historical CABG control group (Table 4). Patients in the OPTIVUS group less often had comorbidities such as heart failure, mitral regurgitation, a history of myocardial infarction, stroke, chronic kidney disease, anemia, and thrombocytopenia compared with those in the historical CABG control group. The prevalence of severe frailty was higher in the OPTIVUS than historical CABG control group. Regarding angiographic and procedural characteristics, compared with the historical CABG control group, patients in the OPTIVUS group less often had complex coronary anatomy, as indicated by a lower SYNTAX score and a lower prevalence of 3-vessel disease and CTO target. In terms of medication at discharge, the prescription rates of statins, high-intensity statins, and ACEI or ARB were higher in the OPTIVUS than historical CABG control group, whereas the prescription rates of β-blockers, oral anticoagulants, and proton pump inhibitors or histamine H2 receptor blockers were higher in the historical CABG control group than in the OPTIVUS group.

Table 4. Baseline Characteristics: OPTIVUS vs. CREDO-Kyoto Registry Cohort-3 Historical CABG Control
  Entire cohort Propensity score-matched cohort
OPTIVUS
(n=1,021)
Historical CABG
control (n=899)
P value OPTIVUS
(n=436)
Historical CABG
control (n=436)
P value
Clinical characteristics
 Age (years) 71.2±10.0 68.6±9.6 <0.001 70.6±10.0 69.4±9.4 0.06
  ≥75 years 427 (41.8) 266 (29.6) <0.001 160 (36.7) 153 (35.1) 0.62
 Men 803 (78.6) 699 (77.8) 0.64 342 (78.4) 349 (80.0) 0.56
 BMI (kg/m2) 24.1±3.5 23.8±3.5 0.07 24.1±3.8 23.8±3.5 0.20
  BMI <25 kg/m2 666 (65.2) 597 (66.4) 0.59 275 (63.1) 279 (64.0) 0.78
 Acute coronary syndrome 145 (14.2) 29 (3.2) <0.001 21 (4.8) 24 (5.5) 0.65
  Acute myocardial infarction 68 (6.7) 18 (2.0) <0.001 11 (2.5) 15 (3.4) 0.43
  Unstable angina 77 (7.5) 11 (1.2) <0.001 10 (2.3) 9 (2.1) 0.82
 Hypertension 860 (84.2) 774 (86.1) 0.25 382 (87.6) 373 (85.6) 0.37
 Diabetes 560 (54.8) 478 (53.2) 0.46 239 (54.8) 243 (55.7) 0.79
  On insulin therapy 95 (9.3) 189 (21.0) <0.001 42 (9.6) 92 (21.1) <0.001
 Current smoking 176 (17.2) 159 (17.7) 0.80 71 (16.3) 78 (17.9) 0.53
 HF 178 (17.4) 231 (25.7) <0.001 100 (22.9) 104 (23.9) 0.75
  Prior hospitalization for HF 87 (8.5) 167 (18.6) <0.001 47 (10.8) 73 (16.7) 0.01
  Current HF at index
hospitalization
133 (13.0) 102 (11.3) 0.26 75 (17.2) 46 (10.6) 0.004
 LVEF (%) 57.7±12.3 58.4±14.3 0.22 55.3±12.8 59.6±14.2 <0.001
  LVEF <40% 114 (11.2) 111 (12.9) 0.28 63 (14.6) 47 (11.2) 0.14
 Mitral regurgitation grade ≥3/4 30 (2.9) 70 (8.1) <0.001 20 (4.6) 36 (8.6) 0.02
 Prior myocardial infarction 180 (17.6) 232 (25.8) <0.001 91 (20.9) 87 (20.0) 0.74
 Prior stroke 119 (11.7) 158 (17.6) <0.001 64 (14.7) 70 (16.1) 0.57
 Peripheral vascular disease 116 (11.4) 128 (14.2) 0.06 43 (9.9) 49 (11.2) 0.51
 eGFR <30 mL/min/1.73 m2 or
hemodialysis
97 (9.5) 132 (14.7) <0.001 53 (12.2) 47 (10.8) 0.52
  eGFR <30 mL/min/1.73 m2
without hemodialysis
38 (3.7) 58 (6.5) 0.01 22 (5.0) 17 (3.9) 0.41
  Hemodialysis 59 (5.8) 74 (8.2) 0.04 31 (7.1) 30 (6.9) 0.89
 AF 85 (8.3) 69 (7.7) 0.60 41 (9.4) 36 (8.3) 0.55
 Anemia (hemoglobin <11.0 g/dL) 96 (9.4) 158 (17.6) <0.001 55 (12.6) 54 (12.4) 0.92
 Thrombocytopenia (platelets
<100×109/L)
10 (1.0) 24 (2.7) 0.01 9 (2.1) 8 (1.8) 0.81
 Malignancy 126 (12.3) 103 (11.5) 0.55 52 (11.9) 53 (12.2) 0.92
 Severe frailtyA 39 (3.8) 14 (1.6) 0.003 11 (2.5) 8 (1.8) 0.49
Procedural characteristics
 Preprocedure test 215 (21.1) 266 (29.6) <0.001 101 (23.2) 122 (28.0) 0.10
  Stress electrocardiogram 104 (10.2) 123 (13.7)   43 (9.9) 60 (13.8)  
  SPECT 94 (9.2) 156 (17.4)   47 (10.8) 66 (15.1)  
  Cardiac magnetic resonance 9 (0.9) 1 (0.1)   4 (0.9) 1 (0.2)  
  Stress echocardiography 3 (0.3) 6 (0.7)   0 (0) 3 (0.7)  
  FFR-CT 10 (1.0) 0 (0)   8 (1.8) 0 (0)  
 Extent of coronary artery
disease
    <0.001     0.50
  2-vessel disease 813 (79.6) 277 (30.8)   250 (57.3) 240 (55.0)  
  3-vessel disease 208 (20.4) 622 (69.2)   186 (42.7) 196 (45.0)  
 SYNTAX scoreB 18.1±7.2 29.1±8.0 <0.001 20.2±7.6 28.2±8.2 <0.001
  Low (<23) 794 (78.5) 128 (21.1) <0.001   303 (69.7) 66 (26.7) <0.001  
  Intermediate (23–32) 173 (17.1) 277 (45.6) 100 (23.0) 113 (45.7)
  High (≥33) 44 (4.4) 202 (33.3) 32 (7.4) 68 (27.5)
 No. target lesions or
anastomoses
2.5±0.8 3.4±0.9 <0.001 2.8±0.9 3.2±0.9 <0.001
 Target
  Proximal LAD 1,009 (98.8) 854 (95.0) <0.001 427 (97.9) 424 (97.2) 0.51
  Chronic total occlusion 151 (14.8) 444 (49.4) <0.001 139 (31.9) 140 (32.1) 0.94
 Internal thoracic artery graft use 881 (98.0)   429 (98.4)  
 Off-pump surgery 527 (58.6)   255 (58.5)  
Baseline medications
 Antiplatelet therapy
  P2Y12 inhibitors 1,018 (99.7) 194 (21.6) <0.001 433 (99.3) 87 (20.0) <0.001
   Ticlopidine 0 (0) 14 (1.6)   0 (0) 9 (2.1)  
   Clopidogrel 563 (55.1) 180 (20.0)   224 (51.4) 78 (17.9)  
   Prasugrel 452 (44.3) 0 (0)   207 (47.5) 0 (0)  
  Aspirin 960 (94.0) 884 (98.3) <0.001 405 (92.9) 432 (99.1) <0.001
  Cilostazol 6 (0.6) 27 (3.0) <0.001 2 (0.5) 13 (3.0) 0.004
 Other medications
  Statins 936 (91.7) 586 (65.2) <0.001 402 (92.2) 277 (63.5) <0.001
   High-intensity statinsC 374 (36.6) 5 (0.6) <0.001 166 (38.1) 2 (0.5) <0.001
  β-blockers 454 (44.5) 508 (56.5) <0.001 231 (53.0) 244 (56.0) 0.38
  ACEI/ARB 584 (57.2) 276 (30.7) <0.001 272 (62.4) 133 (30.5) <0.001
  Nitrates 148 (14.5) 112 (12.5) 0.19 60 (13.8) 54 (12.4) 0.55
  Calcium channel blockers 444 (43.5) 340 (37.8) 0.01 191 (43.8) 172 (39.4) 0.19
  Oral anticoagulants 99 (9.7) 483 (53.7) <0.001 52 (11.9) 225 (51.6) <0.001
   Warfarin 19 (1.9) 477 (53.1) <0.001 11 (2.5) 221 (50.7) <0.001
   DOAC 80 (7.8) 6 (0.7) <0.001 41 (9.4) 4 (0.9) <0.001
  Oral anticoagulants in patients
with AF
63/85 (74.1) 53/69 (76.8) 0.70 31/41 (75.6) 28/36 (77.8) 0.82
   Warfarin in patients with AF 7/85 (8.2) 49/69 (71.0) <0.001 3/41 (7.3) 25/36 (69.4) <0.001
   DOAC in patients with AF 56/85 (65.9) 4/69 (5.8) <0.001 28/41 (68.3) 3/36 (8.3) <0.001
  PPI or histamine H2 receptor
blockers
903 (88.4) 831 (92.4) 0.003 390 (89.4) 400 (91.7) 0.25
   PPI 876 (85.8) 758 (84.3) 0.36 379 (86.9) 362 (83.0) 0.11
   Histamine H2 receptor
blockers
28 (2.7) 75 (8.3) <0.001 11 (2.5) 40 (9.2) <0.001

Categorical variables were presented as number and percentage. Continuous variables are presented as the mean±SD or median [interquartile range]. BMI was missing for 1 patient in the CREDO-Kyoto Registry Cohort-3. LVEF was missing for 7 patients in OPTIVUS and for 36 patients in the CREDO-Kyoto Registry Cohort-3. Mitral regurgitation was missing for 35 patients in the CREDO-Kyoto Registry Cohort-3. SYNTAX score was missing for 10 patients in OPTIVUS and for 292 patients in the CREDO-Kyoto Registry Cohort-3. ASevere frailty was regarded as present when the hospital chart documented an inability to perform usual activities of daily living. BSYNTAX score in the CREDO-Kyoto Registry was calculated among patients with 3-vessel disease by the SYNTAX score committee members, and among patients who were underwent angiographic analysis in the core laboratory. CHigh-intensity statins therapy was defined as the use of maximum approved doses of strong statins in Japan (e.g., rosuvastatin 10 mg, atorvastatin 20 mg, or pitavastatin 4 mg). CABG, coronary artery bypass grafting. Other abbreviations as in Table 1.

In the propensity score-matched cohort, baseline characteristics were mostly well balanced between the OPTIVUS and historical CABG control groups, except for the lower mean SYNTAX score and smaller number of target lesions or anastomoses in the OPTIVUS group. Nevertheless, there was no imbalance in the extent of coronary artery disease, proximal LAD target, and CTO target between the 2 groups.

Clinical Outcomes: OPTIVUS vs. Historical CABG Control

In the propensity score-matched cohort, the cumulative 1-year incidence of the primary endpoint was significantly lower in the OPTIVUS than historical CABG control group (11.8% vs. 16.5%, respectively [log-rank P=0.02]; HR 0.66, 95% CI 0.46–0.95, P=0.02; Table 5; Figure 3). The differences in the primary endpoint between the OPTIVUS and historical CABG control groups were mainly driven by differences in myocardial infarction and stroke (Table 5; Supplementary Figure 6). The cumulative 1-year incidence of any coronary revascularization did not differ between the 2 groups (Table 5; Supplementary Figure 6).

Table 5. Clinical Outcomes in the Propensity Score-Matched Cohort: OPTIVUS vs. CREDO-Kyoto Registry Cohort-3 Historical CABG Control
Endpoints No. (%) patients with eventA
(cumulative 1-year incidence)
HR (95% CI) P value
OPTIVUS
(n=436)
Historical CABG
control (n=436)
Primary endpointB 51 (11.8) 70 (16.5) 0.66 (0.46–0.95) 0.02
Secondary endpoints
 All-cause death 11 (2.5) 12 (2.9) 0.87 (0.38–1.97) 0.74
  Cardiovascular death 4 (0.9) 9 (2.2) 0.42 (0.13–1.37) 0.15
  Cardiac death 3 (0.7) 8 (1.9) 0.36 (0.09–1.34) 0.13
   Sudden cardiac death 2 (0.5) 5 (1.2) 0.38 (0.07–1.95) 0.24
  Non-cardiovascular death 7 (1.6) 3 (0.7) 2.22 (0.57–8.57) 0.25
 Myocardial infarction 7 (1.6) 19 (4.4) 0.36 (0.15–0.85) 0.02
  Spontaneous 3 (0.7) 2 (0.5) 1.43 (0.24–8.56) 0.70
  Periprocedural 4 (0.9) 17 (3.9) 0.23 (0.08–0.69) 0.01
 Definite stent thrombosis or symptomatic graft occlusion 1 (0.2) 2 (0.5) 0.48 (0.04–5.29) 0.55
 Stroke 2 (0.5) 13 (3.1) 0.15 (0.03–0.65) 0.01
  Ischemic stroke 2 (0.5) 11 (2.6) 0.17 (0.04–0.78) 0.02
  Hemorrhagic stroke 0 (0) 3 (0.7)    
  Major strokeC 1 (0.2) 11 (2.6) 0.09 (0.01–0.67) 0.02
 Hospitalization for heart failure 12 (2.8) 20 (4.8) 0.56 (0.27–1.15) 0.11
 Major bleeding
  BARC type 3, 4, or 5 15 (3.5) 135 (31.2) 0.10 (0.06–0.17) <0.001
  BARC type 3 or 5 15 (3.5) 36 (8.6) 0.39 (0.21–0.71) 0.002
  BARC type 5 0 (0) 0 (0)    
 Target vessel revascularization 32 (7.5) 31 (7.4) 0.96 (0.59–1.58) 0.88
  Ischemia-driven target vessel revascularization 32 (7.5) 16 (3.8) 1.92 (1.05–3.50) 0.03
 Any coronary revascularization 34 (7.9) 36 (8.6) 0.88 (0.55–1.40) 0.58
  Ischemia-driven any coronary revascularization 34 (7.9) 18 (4.3) 1.81 (1.02–3.20) 0.04
 Composite of death, myocardial infarction, or stroke 20 (4.6) 42 (9.9) 0.45 (0.26–0.76) 0.003

APercentages are Kaplan-Meier estimates at 365 days. BThe primary endpoint was a composite of death, myocardial infarction, stroke, or any coronary revascularization. CMajor stroke was defined as modified Rankin scale ≥2. Definitions of the endpoints are provided in the Supplementary File. The HRs and 95% CIs of OPTIVUS relative to the historical CABG control were calculated using a Cox proportional hazard model. Abbreviations as in Tables 1,3,4.

Figure 3.

Kaplan-Meier curves for the primary endpoint in the propensity score-matched cohort: OPTIVUS vs. the historical coronary artery bypass grafting (CABG) control in the CREDO-Kyoto Registry Cohort-3. Time-to-event curves through 1 year after the index procedure are shown for the primary endpoint (a composite of death, myocardial infarction, stroke, or any coronary revascularization) in the propensity score-matched cohorts in the OPTIVUS and historical CABG control. Cumulative incidence was estimated with the Kaplan-Meier method, and differences were assessed with the log-rank test. CREDO-Kyoto, Coronary REvascularization Demonstrating Outcome Study in Kyoto; OPTIVUS, OPTimal IntraVascular UltraSound.

In the 30-day landmark analysis, the cumulative incidence of the primary endpoint was significantly lower in the OPTIVUS than historical CABG control group within 30 days, but not beyond 30 days (Supplementary Table 5). In the subgroup analysis stratified by SYNTAX score, there was no significant interaction between the SYNTAX score tertiles and the effect of the OPTIVUS relative to the historical CABG control group (Supplementary Table 6). Nevertheless, the HR numerically favored the historical CABG control group over the OPTIVUS group for patients with a high SYNTAX score, although the number of patients in this subgroup was very small.

In the sensitivity analysis, the results in the entire cohort were fully consistent with those in the propensity score-matched cohort (Supplementary Figure 7; Supplementary Table 7).

Discussion

The main findings of the present study were that: (1) mean MSA evaluated at the core laboratory was significantly larger in the OPTIVUS group than in the historical PCI control group; and (2) IVUS-guided PCI targeting the OPTIVUS criteria combined with contemporary clinical practice was associated with superior clinical outcomes at 1 year compared with not both the historical PCI control and the historical CABG control.

In our previous report, the OPTIVUS-Complex PCI study multivessel cohort demonstrated statistically and numerically superior clinical outcomes compared with the predefined PCI and CABG, respectively, performance goals derived from the CREDO-Kyoto Registry Cohort-2 in patients with multivessel disease.1 However, the patients in the CREDO-Kyoto Registry Cohort-2 were enrolled in the first-generation DES era, when clinical practice was much different from that of contemporary clinical practice. It was reassuring that the results of the OPTIVUS-Complex PCI study were fully consistent with those of the CREDO-Kyoto Registry Cohort-3, a recent real-world study conducted in the new-generation DES era.

Imaging-guided PCI has widely penetrated real-world practice in Japan. In fact, the prevalence of intracoronary imaging use in the CREDO-Kyoto Registry Cohort-3 was very high (86.6%). However, despite the high prevalence of intracoronary imaging use during PCI, PCI compared with CABG had a higher risk of myocardial infarction and any coronary revascularization in patients with multivessel disease in the CREDO-Kyoto Registry Cohort-3.3,7 We hypothesized that simply using IVUS during PCI may not necessarily be associated with optimal stent expansion, and therefore the long-term outcomes after PCI are still worse than those after CABG. In the OPTIVUS group, the prevalence of direct stenting was lower, the prevalence of post-dilatation was higher, and the maximum balloon size for post-dilatation was larger than in the PCI group in the CREDO-Kyoto Registry Cohort-3 (historical PCI control). The prevalence of the use of a cutting or scoring balloon and rotational or orbital atherectomy was higher in the OPTIVUS than historical PCI control group, although the prevalence of calcified lesions did not differ between the groups. The observed larger MSA in the OPTIVUS than historical PCI control group may have been related to those procedural characteristics under optimal IVUS guidance. MSA is a well-known predictor for better clinical outcomes after coronary stent implantation.811 In addition, the prevalence of procedural complications was lower in the OPTIVUS than historical PCI control group. Optimal IVUS-guided PCI could make it possible to achieve more aggressive but safer stent optimization, which may be one of the reasons why patients enrolled in OPTIVUS had a lower incidence of myocardial infarction and any coronary revascularization than patients in the PCI group in the CREDO-Kyoto Registry Cohort-3. Moreover, patients enrolled in OPTIVUS had a lower incidence of myocardial infarction, and a similar incidence of any coronary revascularization, than patients in the CABG group in the CREDO-Kyoto Registry Cohort-3. Of course, the better outcomes in terms of cardiovascular events such as myocardial infarction and coronary revascularization in OPTIVUS may be related to factors other than optimal IVUS guidance, such as a higher rate of prescription of high-intensity statins and a lower incidence of follow-up coronary angiography in OPTIVUS than in the CREDO-Kyoto Registry Cohort-3. OPTIVUS, compared with the CREDO-Kyoto Registry Cohort-3, had lower incidence of coronary revascularization, but not clinically driven coronary revascularization, suggesting that the lower incidence of coronary revascularization may be largely driven by the lower incidence of follow-up coronary angiography. Based on these findings, we strongly recommended refraining from scheduled follow-up coronary angiography in asymptomatic patients. This will contribute to avoiding coronary revascularization in asymptomatic patients. The lower incidence of major bleeding in OPTIVUS may be related to the higher prevalence of a radial approach and shorter duration of DAPT in OPTIVUS than in the CREDO-Kyoto Registry Cohort-3. Optimal IVUS-guided PCI together with the evolving contemporary PCI practice are important in improving clinical outcomes after PCI, and could be an alternative to CABG in selected patients with multivessel coronary artery disease.

This study has were several limitations. First, and most importantly, this study was not a randomized trial comparing optimal IVUS-guided PCI with standard PCI or CABG, and there were fundamental differences between the OPTIVUS and historical control groups. The OPTIVUS study population may represent selected patients for a clinical trial and the counterpart was the registry study. Although we conducted a propensity score matching analysis to combine these different cohorts, large differences remained in the selection of patients in the OPTIVUS and historical control groups, especially in terms of coronary anatomy complexity. In addition, patients in the historical PCI or CABG control groups underwent coronary revascularization several years before the enrollment period of the OPTIVUS study. In that time, not only has PCI practice changed, but there have also been improvements in surgical techniques, together with adjunct medical therapy. The propensity score matching and multivariable Cox proportional hazard models could not fully account for the systematic differences between the 2 cohorts. Therefore, we could not evaluate how much the optimal IVUS-guided PCI affected the better results of the OPTIVUS group compared with the historical control groups, which may also have been driven by evolving clinical practice other than IVUS-guided PCI. Second, a 1-year follow-up may be too short to evaluate the effect of IVUS-guided PCI compared with standard PCI or CABG. Follow-up for 5 years in this study is now ongoing. Third, there were no differences in clinical outcomes between patients meeting and those not meeting the OPTIVUS criteria.1 The OPTIVUS criteria may not be the best IVUS criteria for guiding PCI, although the intention to achieve the OPTIVUS criteria may have contributed to reasonable stent expansion, even if the OPTIVUS criteria could not be achieved in a certain proportion of patients. Fourth, the IVUS data at the core laboratory were available for a very limited proportion of patients in the CREDO-Kyoto Registry Cohort-3, posing a serious limitation in the comparison of the IVUS data between the 2 cohorts. Finally, it is unknown how much of the observed benefits was actually related to the optimal IVUS-guided PCI procedure per se.

Conclusions

IVUS-guided PCI targeting the OPTIVUS criteria combined with contemporary clinical practice was associated with superior clinical outcomes at 1 year compared with both the historical PCI control and the historical CABG control.

Acknowledgments

The authors appreciate the members of the Cardiovascular Clinical Research Promotion Department, Research Institute for Production Development for handling a series of large clinical trials performed by Kyoto University and the co-investigators for enrolling patients, collecting follow-up data, and adjudicating clinical events (Supplementary Appendix).

Sources of Funding

This work was supported by Boston Scientific Japan. The study sponsor was not involved in the implementation of the study, data collection, event fixation, or statistical analysis. However, approval of the study sponsor is required for presentation of the data at scientific meetings and for the submission of papers.

Disclosures

K. Yamamoto reports receiving honoraria from Boston Scientific. T.M. reports receiving lecturer fees from AstraZeneca, Bristol-Myers Squibb, Daiichi Sankyo, Japan Lifeline, Kowa, Toray and Tsumura and manuscript fees from Bristol-Myers Squibb and Kowa, as well as sitting on the advisory board for Novartis and Teijin. K.T. reports receiving honoraria from Abbott Medical, Boston Scientific, Japan Lifeline, Medtronic, Orbusneich, and Terumo. T.K. reports receiving research grants from Abbott Medical and Boston Scientific and honoraria from Abbott Medical, Boston Scientific, Daiichi Sankyo, Sanofi, and Terumo, as well as participating in advisory boards for Abbott Medical, Boston Scientific, and Sanofi. K.O. is a member of Circulation Journal’s Editorial Team. The other authors have nothing to disclose.

IRB Information

Kyoto University Certified Review Board and Ethics Committee approved OPTIVUS-Complex PCI (Y0011).

Data Availability

The deidentified participant data will not be shared.

Supplementary Files

Please find supplementary file(s);

https://doi.org/10.1253/circj.CJ-22-0837

References
 
© 2023, THE JAPANESE CIRCULATION SOCIETY

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