Journal List > Korean Circ J > v.50(2) > 1141142

Lee, Eom, Kim, Lee, Son, Jeon, Bae, Oh, Cha, Suh, Koh, Yang, Shim, Bae, and Park: Effect of Operator Volume on In-Hospital Outcomes Following Primary Percutaneous Coronary Intervention for ST-Elevation Myocardial Infarction: Based on the 2014 Cohort of Korean Percutaneous Coronary Intervention (K-PCI) Registry

Abstract

Background and Objectives

The relationship between operator volume and outcomes of percutaneous coronary intervention (PCI) in patients with ST-elevation myocardial infarction (STEMI) has not been fully investigated. We aimed to investigate the relationship between operator PCI volume and in-hospital outcomes after primary PCI for STEMI.

Methods

Among the total of 44,967 consecutive cases of PCI enrolled in the Korean nationwide, retrospective registry (K-PCI registry), 8,282 patients treated with PCI for STEMI by 373 operators were analyzed. PCI volumes above the 75th percentile (>30 cases/year), between the 75th and 25th percentile (10–30 cases/year), and below the 25th percentile (<10 cases/year) were defined as high, moderate, and low-volume operators, respectively. In-hospital outcomes including mortality, non-fatal myocardial infarction (MI), stent thrombosis, stroke, and urgent repeat PCI were analyzed.

Results

The average number of primary PCI cases performed by 373 operators was 22.2 in a year. In-hospital mortality after PCI for STEMI was 571 cases (6.9%). In-hospital outcomes by operator volume showed no significant differences in the death rate, cardiac death, non-fatal MI, and stent thrombosis. However, the rate of urgent repeat PCI tended to be lower in the high-volume operator (0.6%) than in the moderate-(0.7%)/low-(1.5%) volume operator groups (p=0.095). The adjusted odds ratios for adverse in-hospital outcomes were similar in the 3 groups. Multivariate analysis also showed that operator volume was not a predictor for adverse in-hospital outcomes.

Conclusions

In-hospital outcomes after primary PCI for STEMI were not associated with operator volume in the K-PCI registry.

INTRODUCTION

Percutaneous coronary intervention (PCI) is now established as the first-line treatment for patients with acute myocardial infarction (MI). The relationship between operator volume and clinical outcomes after PCI has been debated. Some previous studies on the impact of operator volume on outcomes suggested that high-volume operators have better outcomes in the stent era.1)2)3)4) Recent data from nationwide contemporary PCI registries in Korea also showed that high volume centers were associated with lower in-hospital mortality.5) From these results, current international guidelines offer minimum volume recommendation annually from 50 to 75 by each operator.6)7) However, recent publications showed contradictory results in that the association between operator volume and clinical outcomes was not clear following PCI.8)9) Primary PCI is recommended as first-line treatment in the management of patients with ST elevation MI (STEMI).10)11) Primary PCI is usually performed in the emergency clinical setting, and the physician should be able to make fast and accurate decisions in various clinical presentations. For this reason, primary PCI might be more complicated than elective conventional PCI. There are limited data on the relationship between operator volume and in-hospital outcomes in patients with STEMI. Thus, we aimed to evaluate in-hospital outcomes after PCI for STEMI according to operator volume.

METHODS

Study population and data collection

We used and analyzed the data of the Korean PCI (K-PCI) registry. The K-PCI registry is a retrospective multicenter registry of coronary artery disease (CAD) patients treated with PCI enrolled from 92 hospitals in Korea. This study was an all-comer registry without specific exclusion criteria. Data on the baseline medical history, laboratory findings, medications, revascularization procedures and in-hospital outcome were collected by a trained study coordinator using a standardized case report form and web-based reporting system. This registry was co-sponsored by the Korean Society of Interventional Cardiology and the Korean Society of Cardiology. A total of 44,967 patients were finally enrolled in this registry from January 2014 through December 2014. Among the total population from this registry, we analyzed 8,282 patients with STEMI treated with primary PCI. A total of 373 operators who performed primary PCI were analyzed in this study.
The study population was divided into 3 groups according to operator volume: high-volume operators (n=4,509), moderate-volume operators (n=3,302), and low-volume operators (n=471). We divided operator volume into high, moderate, and low-volume operators, respectively according to the operators with annual primary PCI volumes above 30 cases (n=93) (above the 75th percentile), between 10 and 30 cases (n=180) (between the 75th percentile and 25th percentile), and less than 10 cases (n=100) (less than the 25th percentile).
The study protocol conforms to the ethical guideline of the 1975 Declaration of Helsinki. The Institutional Review Board (IRB No. 2015-10-026-006) at each participant hospital approved this study and waived the requirement for patient-informed consent because of the study's retrospective nature.

PCI procedure

Primary PCI is the immediate revascularization procedure for patients with STEMI within 12 hours from symptom onset, or the PCI for patients with any symptoms of recurrent or persistent ischemia, symptoms of heart failure, or electrical instability more than 12 hours after symptom onset. The PCI procedures were performed using the current conventional technique. Artery access sites for PCI and type of stent depended on the discretion of the attending physicians.

Definition and study outcomes

STEMI was defined as persistent chest discomfort or other symptoms suggestive of acute ischemia and ST-segment elevation in at least 2 contiguous leads or new onset left bundle branch block not documented to be resolved within 20 minutes were defined as STEMI.10) ST-segment elevation was defined by new or presumed new sustained ST-segment elevation at the J-point in 2 contiguous electrocardiogram (ECG) leads with the cut-off points: ≥0.2 mV in men or ≥0.15 mV in women in leads V2-V3 and/or ≥0.1 mV in other leads and lasting greater than or equal to 20 minutes. The definition of STEMI included patients whose cardiac biomarkers (CK-MB, Troponin T or I) exceeded the upper limit of normal according to the individual hospital's laboratory parameters together with a clinical presentation which was consistent with or suggestive of acute ischemia.
The primary endpoint was major adverse cardiovascular and cerebrovascular events (MACCEs) during hospitalization, defined as a composite of cardiac death, MI, stent thrombosis or stroke, based on Academic Research Consortium.12) Cardiac death was defined as any death due to proximate cardiac cause, such as MI, low-output failure, or fatal arrhythmia. Deaths without an explicable non-cardiac cause were considered cardiac death. MI was indicated by the new occurrence of a biomarker elevation after PCI: the prost-procedure cardiac troponin must rise by >20% following new ischemic ECG changes.13) Stent thrombosis was defined as the presence of a thrombus that originated in the stent or in the segment 5 mm proximal or distal to the stent and the presence of at least 1 of the following criteria within a 48-hour time window: 1) acute onset of ischemic symptom(s) at rest, 2) new ischemic ECG changes that suggest acute ischemia, and 3) typical rise and fall in cardiac biomarkers. Stroke was defined as a sudden focal neurologic deficit of presumed cerebrovascular etiology that persisted beyond 24 hours and was not due to another identifiable cause.
The secondary endpoints were adverse in-hospital outcomes defined as composed of primary endpoint and all-cause mortality, urgent repeat PCI, and transfusion of whole blood or packed red blood cells. Urgent repeat PCI was defined as necessity for repeat procedure due to PCI complications or hemodynamic instability.

Statistical analysis

Baseline characteristics and angiographic/procedural data are expressed as number (%) for categorical data or mean±standard deviation for continuous data. Continuous variables were compared using Student's t-test, analysis of variance, and comparisons of categorical data were performed using the χ2 test (or Fisher's exact). We calculated odds ratio (OR) for MACCE among the 3 groups using multivariate logistic-regression analyses. To reduce the impact of differences in baseline characteristics, we adjusted confounding factors, such as age, sex, hypertension, diabetes, family history of premature CAD, prior PCI, and renal failure. Inverse probability weighted (IPW) analysis was also performed to adjust for baseline differences between the 3 groups. Statistical analyses were performed with SAS version 9.2 (SAS Institute Inc., Cary, NC, USA). The p value<0.05 was considered statistically significant.

RESULTS

Baseline clinical characteristics

Baseline characteristics of study populations are summarized in Table 1. The mean age was 62.8±13.0 years, and 78.1% of the patients were men. The average number of primary PCI cases performed by the 373 operators was 22.2. The mean number of primary PCI cases was significantly higher in Honam province than other provinces (Figure 1). The mean age of each study group was similar, but older patients (≥75 years) were more frequently observed in the high-volume operator group. The patients whose PCI was performed by high-volume operators were more likely to have a history of dyslipidemia and renal failure compared to those whose procedure was performed by mid-/lower-volume operators. The incidence of cardiogenic shock was similar, but cardiac arrest occurred more frequently in the low-volume operator group than in the mid- and high-volume operator groups (9.0% vs. 8.8%/6.7%, respectively, p=0.002). Left ventricular ejection fraction (LVEF) before PCI was likely to be reduced in the high-volume operator group than in the mid- or low-volume operator groups (48.2±11.5% vs. 49.4±11.5% or 50.8±10.5%, respectively, p<0.001). The geographic pattern of operator volume showed significant differences: the most primary PCIs were performed by high volume operators in Chungcheong and Honam provinces, but low-/moderate-/high-volume operators were evenly distributed in other provinces. Most of the high-volume operators were affiliated with high volume centers (65.7%), but low-volume operators were affiliated with moderate (45.9%) or low (36.1%) volume centers.
Table 1

Baseline patient and clinical characteristics

kcj-50-133-i001
Variables Low volume operator (n=471) Moderate volume operator (n=3,302) High volume operator (n=4,509) p value
Age (years) 63±12.6 62.5±12.9 63.1±13.2 0.098
Age group (years) 0.007
<55 119 (25.3) 992 (30) 1,284 (28.5)
55–64 149 (31.6) 910 (27.6) 1,149 (25.5)
65–74 106 (22.5) 713 (21.6) 1,068 (23.7)
≥75 97 (20.6) 687 (20.8) 1,008 (22.4)
Sex 0.073
Male 378 (80.3) 2,611 (79.1) 3,481 (77.2)
Female 93 (19.8) 691 (20.9) 1,028 (22.8)
Hypertension 228 (48.7) 1,653 (50.2) 2,326 (51.7) 0.273
Diabetes 0.095
Any 122 (26.2) 885 (26.9) 1,170 (26)
Insulin-dependent 16 (3.4) 73 (2.2) 79 (1.8)
Dyslipidemia 115 (24.8) 920 (28) 1,363 (30.3) 0.010
Prior myocardial infarction 40 (8.6) 257 (7.8) 378 (8.4) 0.618
Prior PCI 89 (19.1) 474 (14.4) 775 (17.2) 0.001
Prior CABG 2 (0.4) 13 (0.4) 15 (0.3) 0.880
Renal failure 0.003
CKD 8 (1.7) 68 (2.1) 112 (2.5)
ESRD 3 (0.6) 31 (0.9) 32 (0.7)
KT 0 (0) 1 (0) 3 (0.1)
Cerebrovascular disease 28 (6) 197 (6) 252 (5.6) 0.741
Peripheral artery disease 4 (0.9) 40 (1.2) 35 (0.8) 0.136
Cardiogenic shock 47 (10) 374 (11.3) 454 (10.1) 0.181
Cardiac arrest 42 (9) 289 (8.8) 302 (6.7) 0.002
Pre-PCI LVEF 50.8±10.5 49.4±11.5 48.2±11.5 <0.001
Antianginal medication (within 2 weeks)
Beta-blockers 83 (17.6) 590 (17.9) 1,129 (25) <0.001
Long-acting nitrates 22 (4.7) 158 (4.8) 217 (4.8) 0.990
Trimetazidine 22 (4.7) 150 (4.5) 135 (3) 0.001
Geographic regions <0.001
Seoul 138 (29.3) 1,226 (37.1) 511 (11.3)
Gyeonggi province 102 (21.7) 873 (26.4) 923 (20.5)
Chungcheong province 42 (8.9) 243 (7.4) 752 (16.7)
Yeongnam province 105 (22.3) 555 (16.8) 1,025 (22.7)
Honam province 44 (9.3) 169 (5.1) 1,074 (23.8)
Gangwon province 29 (6.2) 166 (5) 184 (4.1)
Jeju province 11 (2.3) 70 (2.1) 40 (0.9)
PCI volume of the center <0.001
Low (≤25%) 170 (36.1) 535 (16.2) 0 (0.0)
Moderate (25–75%) 216 (45.9) 1,995 (60.4) 1,546 (34.3)
High (>75%) 85 (18.1) 772 (23.4) 2,963 (65.7)
Data are shown as mean±standard deviation or number (%).
CABG = coronary artery bypass graft; CKD = chronic kidney disease; ESRD = end-stage renal disease; KT = kidney transplantation; LVEF = left ventricular ejection fraction; PCI = percutaneous coronary intervention.
Figure 1

The geographic pattern of operator volume showed that the mean number of primary percutaneous coronary intervention cases was significantly higher in Honam province than other provinces.

PCI = percutaneous coronary intervention.
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Angiographic and procedural characteristics

Angiographic and procedure characteristics of study populations are summarized in Table 2.
Table 2

Angiographic and procedure characteristics

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Variables Low volume operator (n=471) Moderate volume operator (n=3,302) High volume operator (n=4,509) p value
Disease extent <0.001
1 vessel disease 235 (50.8) 1,516 (46.0) 1,973 (43.9)
2 vessel disease 138 (29.8) 1,026 (31.2) 1,584 (35.3)
3 vessel disease 90 (19.4) 752 (22.8) 933 (20.8)
Lesion location
Left main/proximal LAD 217 (46.1) 1,699 (51.4) 2,189 (48.5) 0.116
Mid to distal LAD 159 (33.8) 1,024 (31) 1,498 (33.2) 0.096
LCX 81 (17.2) 521 (15.8) 753 (16.7) 0.487
RCA 188 (39.9) 1,313 (39.8) 1,721 (38.2) 0.324
Graft 0 (0) 3 (0.1) 2 (0) 0.611
ISR lesion 29 (6.2) 116 (3.5) 166 (3.7) 0.017
PCI timing
≤12 hours symptom onset 393 (83.4) 2,792 (84.6) 3,735 (82.8) <0.001
>12 hours symptom onset 65 (13.8) 389 (11.8) 685 (15.2)
After thrombolysis 12 (2.6) 117 (3.5) 83 (1.8)
Rescue after failed thrombolysis 1 (0.2) 4 (0.1) 6 (0.1)
PCI approach
Trans-radial 139 (29.5) 1,005 (30.4) 1,561 (34.6) <0.001
Trans-femoral 337 (71.6) 2,328 (70.5) 2,988 (66.3)
Mechanical support tool
Not done 429 (91.1) 3,051 (92.4) 4,191 (93) 0.251
Done (IABP or ECMO) 42 (8.9) 251 (7.6) 316 (7)
Adjunctive tool
IVUS 147 (31.2) 690 (20.9) 944 (21) <0.001
FFR 4 (0.9) 29 (0.9) 58 (1.3) 0.202
Angioplasty device
BMS 3 (0.6) 33 (1) 74 (1.6) 0.020
DES 427 (90.7) 3,044 (92.2) 4,167 (92.4) 0.397
DEB 10 (2.1) 36 (1.1) 41 (0.9) 0.041
POBA 30 (6.4) 154 (4.7) 199 (4.4) 0.183
No. of DES
1 317 (74.2) 2,318 (76.2) 3,124 (75) 0.586
2 89 (20.8) 563 (18.5) 828 (19.9)
≥3 21 (4.9) 163 (5.4) 215 (5.2)
BMS = bare metal stent; DEB = drug-eluting balloon; DES = drug-eluting stent; ECMO = extracorporeal membrane oxygenation; FFR = fractional flow reserve; IABP = intra-aortic balloon pump; ISR = in-stent restenosis; IVUS = intravascular ultrasound; LAD = left anterior descending artery; LCX = left circumflex artery; PCI = percutaneous coronary intervention; POBA = plain old balloon angioplasty; RCA = right coronary artery.
Multi-vessel disease (more than 2 vessels affected) was more frequently observed in the high-volume operator group than the low-/moderate-volume operator groups. However, the location of stenosis showed no significant differences among the 3 groups. The number of patients who had PCI more than 12 hours after symptom onset was significantly higher in the high-volume operator than the low-/moderate-volume operator groups. High-volume operators were more likely to perform PCI by radial approach, whereas low-volume operators were more likely to employ intravascular ultrasound (IVUS) guidance. However, the use of mechanical support and fractional flow reserve was not significantly different among the 3 groups. Drug-eluting stent (DES) usage and number of DESs was not significantly different among the 3 groups.

In-hospital outcomes and predictors of adverse events

In-hospital outcomes according to operator volume are summarized in Table 3. In-hospital mortality after primary PCI for STEMI was 571 cases (6.9%). There were no significant differences in the rate of death, cardiac death, non-fatal MI, and stent thrombosis during hospitalization among the 3 groups. However, the rate of stroke was higher in the high-volume operators (0.4%) than in the moderate- (0.1%)/low-volume (0.2%) operators. The rate of urgent repeat PCI tended to be lower in the high-volume operator (0.6%) than the moderate- (0.7%)/low- (1.5%) volume operator groups. The IPW analysis revealed that the low-volume operator was more frequently associated with urgent repeat PCI than the moderate- (hazard ratio [HR], 2.97; 95% confidence interval [CI], 1.31–6.74; p=0.009) and high-volume operators (HR, 2.86; 95% CI, 1.30–6.28; p=0.009; Supplementary Table 1). The adjusted OR for MACCE and adverse in-hospital outcomes were similar in all 3 groups (Figure 2). The rate of in-hospital MACCE showed similarities according to operator volume in low-/high-volume centers. However, the MACCE rate was significantly lower in the high-(9.25%)/moderate-(10.03%) volume operator than in the low-volume operator (17.59%) in moderate volume center (Table 4, Supplementary Figure 1). Multivariate analysis for MACCE showed that most of the predictors were patient-based risk factors including age, diabetes, prior MI, chronic kidney disease, cardiogenic shock, cardiac arrest, and left main or proximal left anterior descending artery (LAD) disease (Table 5). Procedure factors including trans-radial approach and IVUS usage were also identified as predictors of reduced rate of adverse in-hospital outcomes (Table 5). However, high-volume operators were not associated with adverse in-hospital outcomes.
Table 3

In-hospital outcomes

kcj-50-133-i003
Variables Low volume operator (n=471) Moderate volume operator (n=3,302) High volume operator (n=4,509) p value
Death 34 (7.2) 228 (6.9) 309 (6.9) 0.956
Cardiac death 26 (5.5) 183 (5.5) 229 (5.1) 0.650
Nonfatal MI 18 (3.8) 121 (3.7) 168 (3.7) 0.981
Stent thrombosis 7 (1.5) 39 (1.2) 38 (0.8) 0.193
Stroke 1 (0.2) 4 (0.1) 20 (0.4) 0.035
Urgent repeat PCI 7 (1.5) 22 (0.7) 28 (0.6) 0.095
Transfusion 16 (3.4) 112 (3.4) 141 (3.1) 0.795
MI = myocardial infarction; PCI = percutaneous coronary intervention.
Figure 2

(A) The adjusted OR for MACCE according to operator volume. (B) The adjusted OR for adverse in-hospital outcomes according to operator volume. We adjusted confounding factor, such as age, sex, hypertension, diabetes, family history of premature coronary artery disease, prior percutaneous coronary intervention, and renal failure.

MACCE = major adverse cardiovascular and cerebrovascular event; OR = odds ratio.
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Table 4

In-hospital MACCEs according to operator and center volume

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Variables Low volume operator Moderate volume operator High volume operator p for trend
Low volume center 6 (3.53) 42 (7.85) - 0.0515
Moderate volume center 38 (17.59) 200 (10.03) 143 (9.25) 0.0059
High volume center 5 (5.88) 87 (11.27) 301 (10.16) 0.9923
Values are presented as number (%).
MACCE = major adverse cardiovascular and cerebrovascular event.
Table 5

Predictor of major adverse was major adverse cardiovascular and cerebrovascular events

kcj-50-133-i005
Variables Multivariate analysis p value
OR 95% CI
Age 1.02 1.01–1.02 <0.001
Male 1.16 0.96–1.41 0.127
Diabetes 1.28 1.10–1.48 0.001
Hypertension 1.01 0.86–1.19 0.899
Prior myocardial infarction 1.50 1.14–1.98 0.004
CKD & ESRD 1.64 1.15–2.34 0.007
Cardiogenic shock 2.02 1.62–2.53 <0.001
Cardiac arrest 4.20 3.31–5.34 <0.001
Multi-vessel disease 0.93 0.79–1.09 0.358
Left main or proximal LAD 1.64 1.4–1.92 <0.001
PCI ≤12 hours symptom onset 0.94 0.74–1.20 0.628
Trans-radial approach 0.50 0.41–0.62 <0.001
IVUS use 0.68 0.55–0.84 <0.001
FFR use 0.66 0.24–1.84 0.431
High-volume operator 0.91 0.76–1.1 0.327
Moderate-volume operator 1.21 0.85–1.71 0.290
Low-volume operator 1.32 0.94–1.86 0.107
CI = confidence interval; CKD = chronic kidney disease; ESRD = end-stage renal disease; FFR = fractional flow reserve; IVUS = intravascular ultrasound; LAD = left anterior descending artery; OR = odds ratio; PCI = percutaneous coronary intervention.

DISCUSSION

Our study is the first representative study to analyze in-hospital outcomes after primary PCI for STEMI patients in Korea. One important aspect of this study was the determination of the geographic differences in mean primary PCI cases by operator and of the relationship between clinical outcome and operator volume. The major findings are as follows: 1) baseline characteristics, such as age distribution, renal failure, reduced LVEF, and cardiac arrest before PCI, were significantly different depending on operator volume, 2) PCI techniques, such as trans-radial approach and IVUS usage, showed significant differences between groups of operators with varying experience, and 3) operator volume was not associated with MACCEs and in-hospital adverse outcomes.
Current international and national guidelines recommend a certain minimum operator PCI volume. American College of Cardiology Foundation/American Heart Association/Society for Cardiovascular Angiography and Interventions guideline recommended primary PCI for STEMI should be performed by experienced operators who perform at least 11 PCI procedures for STEMI per year.6) The European Society of Cardiology/European Association of PCI guidelines recommended minimum 75 procedures per year for operator volume, but there was no definite minimum number of recommended primary PCI.7) However, the evidence of any relationship between volume of procedures and outcomes of primary PCI at operator level was limited. One previous study on the volume-outcome relationship for PCI in the stent era reported that higher-volume (with an operator volume threshold of 75) was associated with better risk-adjusted PCI outcomes.1) However, this data was derived from the period when bare metal stents were widely used. Another study using the New York State PCI registry evaluated the relationship between volume and outcomes focusing on primary PCI.14) In this study, the positive relationship between operator volumes and better clinical outcomes was only observed in the case of high-volume operators. However, this data was also based on the 2000 to 2002 PCI reporting system, before current generation thin strut DES were introduced. This study categorized physician volume categories into ≤10 cases/year, 10 to 20 cases/year, and >20 cases/year, respectively.14) However, our data showed average primary PCIs performed by 373 operators was 22.2 cases, which might be categorized as high-operator volume according to previous research criteria. It is important for us to define a new operator volume classification, because most of the data available on the relationship between operator volume and outcomes was from the early generation stent era in the Western population. Our study offers the new practical categorization in Korean interventional cardiology, which splits the patient cohort into: primary PCI operator volume above the 75th percentile (>30 cases), between the 75th percentile and 25th percentile (10–30 cases), and less than 25th percentile (<10 cases), respectively. Our data showed geographic differences in primary PCI cases, which were higher in Honam province than other provinces. This data suggests that policymakers need to address these geographic differences to improve access to primary PCI for patients with STEMI.
Our data showed that conventional cardiovascular risk factors, such as old age (≥75 years), dyslipidemia, renal failure, and reduced left ventricular function, were more frequently observed in high-volume operators than low-/moderate-volume operators. Furthermore, multi-vessel disease was more frequently observed in high-volume operators than in low-/moderate-volume operators. However, patients who sustained cardiac arrest were more frequently treated by low-volume operators than by moderate-/high-volume operators. During the procedures, low-volume operators more frequently used IVUS and high-volume operators preferred trans-radial approach. These differences reflect real-life clinical practice in Korean interventional cardiology. Although several baseline characteristics were different among the 3 groups, in-hospital outcomes, including all-cause death, cardiac death, non-fatal MI, and stent thrombosis were similar in the 3 groups. However, the incidence of stroke was slightly higher in high-volume operators than low-/moderate-volume operators, which might be related to underlying patient risk factors. The multivariate analysis-adjusted conventional risk factors also showed that in-hospital outcomes were not associated with primary PCI operator volume. The recent study using data from the Japanese PCI registry, which included 19.3% STEMI PCI also showed no clear association between annual operator volume and clinical outcomes.8) Another recent observational cohort study using the British Cardiovascular Intervention Society PCI database from 2013 to 2014 also showed no direct relationship between mortality and operator volume.9) In the new generation DES era, clinical outcomes of STEMI patients are not dependent on the operator volume, because operator PCI skill has been much improved, and concrete evidence of the efficacy of primary PCI for STEMI patients is widely accepted. This finding required further study to evaluate this hypothesis.
In this study, most of the patient-oriented risk factors, such as age, diabetes, prior MI, renal failure, cardiogenic shock, cardiac arrest, and involvement of arteries such as the left main or proximal LAD, were identified as independent predictors for MACCEs. On the other hand, trans-radial approach and IVUS usage were associated with a reduced rate of MACCEs. Use of the radial artery for diagnostic and interventional coronary procedures was associated with significant reduction in access site complications compared to the femoral artery approach. The Radial versus Femoral Access for Coronary Angiography and Intervention in Patients with Acute Coronary Syndrome (RIVAL) trial demonstrated that the radial approach may be associated with significant reduction in access site complications and in mortality versus a femoral access approach especially in patients presenting with STEMI (HR, 0.60; 95% CI 0.38–0.94; p=0.026).15) Our study also suggested that the radial access approach might be associated with a reduced rate of adverse in-hospital outcomes in primary PCI for STEMI patients. Another procedural factor related to reduced rate of adverse in-hospital outcomes is IVUS usage. Several recent randomized clinical trials which included patients with acute MI also demonstrated that IVUS-guided DES implantation significantly improved clinical outcomes.16)17) It is possible that stent optimization after primary PCI is one of the most important factors that improves clinical outcomes in STEMI. Further studies should be undertaken to examine the role of IVUS in primary PCI. However, our data showed that IVUS is used in only 21.5% of primary PCI. This infrequent application of the IVUS method of access should be enhanced as a matter of policy in the treatment of STEMI.
Our study had several limitations that should be taken into account. First, our population included only those patients and hospitals that participated in the K-PCI registry, and it did not reflect all Korean PCI procedures. However, our data consisted of 92 PCI-capable hospitals which included the majority of high-volume centers, so it might represent the overall pattern of Korean primary PCI. Second, the present study was based on a non-randomized observational registry and it had intrinsic limitations related to nature of observations made. For this reason, the K-PCI registry did not have some important data related to the mortality of patients with STEMI, such as door-to-balloon time or exact symptom onset time. Some experienced operators may not be directly involved in primary PCI depending on individual hospitals. In addition, the number of PCI cases per year might be reduced in hospitals with many operators. For this reason, the PCI pattern might manifest a distorted picture due to differences between individual regions and hospitals. Our study results should be interpreted with caution, because high-volume operators were not equal to experienced operators. Furthermore, some definitions of clinical variables might be different depending on the particular centers, although strict definition of clinical terminology was stipulated before patient enrollment. However, on-site monitoring was conducted for the accuracy of data. Third, our data only reflected clinical outcomes during first hospitalization for PCI over 1 year and information on the long-term clinical outcome classified by operator volume was limited. It is necessary to perform a future study to evaluate the relationship between the operator volume and long-term clinical outcome.
In conclusion, our study is the first representative study to evaluate the relationship between operator volume and in-hospital clinical outcomes after primary PCI for patients with STEMI using K-PCI registry. Our data showed that in-hospital outcomes after primary PCI for STEMI were not associated with operator volume. Further research is required to evaluate long-term clinical outcomes in relation to operator volume after primary PCI for STEMI.

Notes

Funding This work was supported by the 2019 Yeungnam University research grant.

Conflict of Interest The authors have no financial conflicts of interest.

Author Contributions

  • Conceptualization: Park JS.

  • Data curation: Lee JH, Eom SY, Bae JW, Park JS.

  • Formal analysis: Lee JH, Eom SY, Bae JW, Park JS.

  • Investigation: Lee JH, Bae JW, Park JS.

  • Methodology: Lee JH, Bae JW, Park JS.

  • Project administration: Lee JH, Park JS.

  • Resources: Lee JH.

  • Supervision: Kim U, Bae JW, Park JS.

  • Validation: Lee JH, Kim U, Bae JW, Park JS.

  • Visualization: Lee JH, Park JS.

  • Writing - original draft: Lee JH.

  • Writing - review & editing: Lee JH, Kim U, Lee CH, Son JW, Jeon DW, Bae JH, Oh SK, Cha KS, Suh Y, Koh YY, Yang TH, Shim DK, Bae JW, Park JS.

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SUPPLEMENTARY MATERIALS

Supplementary Table 1

Clinical outcomes and operator volume in STEMI patients

Supplementary Figure 1

In-hospital MACCEs according to operator and center volume.
TOOLS
ORCID iDs

Jung-Hee Lee
https://orcid.org/0000-0002-0342-6360

Sang-Yong Eom
https://orcid.org/0000-0002-4559-8152

Ung Kim
https://orcid.org/0000-0002-6009-1843

Chan-Hee Lee
https://orcid.org/0000-0001-9338-0679

Jang-Won Son
https://orcid.org/0000-0002-8109-5018

Dong Woon Jeon
https://orcid.org/0000-0001-7409-4378

Jang-Ho Bae
https://orcid.org/0000-0001-9533-7527

Seok Kyu Oh
https://orcid.org/0000-0001-7545-0143

Kwang Soo Cha
https://orcid.org/0000-0001-7980-4578

Yongsung Suh
https://orcid.org/0000-0002-1975-123X

Young Youp Koh
https://orcid.org/0000-0002-4768-1654

Tae-Hyun Yang
https://orcid.org/0000-0002-2214-4393

Dae keun Shim
https://orcid.org/0000-0003-3381-226X

Jang-Whan Bae
https://orcid.org/0000-0003-1362-9804

Jong-Seon Park
https://orcid.org/0000-0001-5242-2756

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