Literature DB >> 33235678

In-hospital outcomes of angiography versus intravascular ultrasound-guided percutaneous coronary intervention in ST-elevation myocardial infarction patients.

Mazin Khalid1, Neel Kumar Patel2, Birendra Amgai2, Ahmed Bakhit3, Mowyad Khalid4, Paritosh Kafle2, Sandipan Chakraborty2, Vijay Gayam2, Osama Mukhtar2, Yuri Malyshev1, Arsalan Hashmi1, Jignesh Patel1, Jacob Shani1, Vinod Patel5.   

Abstract

BACKGROUND: We compared the in-hospital complications, outcomes, cost, and length of stay (LOS) between angiography-guided percutaneous coronary intervention (PCI) and intravascular ultrasound (IVUS)-guided PCI in patients with ST-elevation myocardial infarction (STEMI) in the USA.
METHODS: A nationwide inpatient database was queried to identify patients >18 years with STEMI who underwent angiography-guided and IVUS-guided PCI from January 2016 to December 2016. We compared the in-hospital mortality, complications, cost, and LOS between the two groups.
RESULTS: We identified 100,485 patients who underwent angiography-guided PCI and 5,460 patients who underwent IVUS-guided PCI. In-hospital mortality was not statistically different (odds ratio [OR] 0.76, 95% CI 0.46 - 1.22, P = 0.24). Patients who underwent PCI with IVUS were more likely to have coronary artery dissection (OR 4.26, 95% CI 2.34 - 7.7, p = <0.01), and both groups had a similar incidence of acute kidney injury requiring hemodialysis. The mean LOS was similar, but the mean total cost was higher in the group that underwent PCI under IVUS guidance.
CONCLUSIONS: The in-hospital mortality, hemodialysis, and the use of support devices did not reach a statistical difference between the two groups. However, we observed higher rates of coronary dissection with the use of IVUS in STEMI management.
© 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group on behalf of Greater Baltimore Medical Center.

Entities:  

Keywords:  IVUS; STEMI; angiography; coronary dissection; mortality

Year:  2020        PMID: 33235678      PMCID: PMC7671732          DOI: 10.1080/20009666.2020.1800970

Source DB:  PubMed          Journal:  J Community Hosp Intern Med Perspect        ISSN: 2000-9666


Introduction

ST-elevation myocardial infarction (STEMI) is a life-threatening emergency requiring emergent revascularization. Hospitals utilize standard angiography-guided percutaneous coronary intervention (PCI) in the management of STEMI. Intravascular ultrasound (IVUS) has been developed to facilitate the visualization of blood vessels in a 3-dimensional image, which provides a more detailed image compared to the 2-dimensional view provided by fluoroscopy. IVUS utilizes a percutaneous transducer catheter that transmits data to a console that reconstructs the images. It provides real-time measurement of the vessel lumen and helps assess the plaque nature and burden. There have been limited studies evaluating the outcomes of IVUS-guided PCI, especially in high-risk lesions [1]. The use of IVUS has been well established in predicting stent thrombosis [2]. IVUS-guided PCI has been demonstrated to improve the event-free survival in patients with type 2 diabetes mellitus [3]. Recent data from East Asian countries suggest long-term benefit with IVUS guidance, including the reduced incidence of myocardial infarction and death [4-6]. In the USA, the use of IVUS is limited due to particular concerns about the increased stent use; particularly, longer stenting duration that has been reported previously [7]. Some studies reported less contrast use when IVUS was utilized [8]. A recent study in Japan examined angiography-guided PCI versus IVUS-guided PCI in patients with acute myocardial infarction and concluded that the use of IVUS was associated with better in-hospital mortality [9]. In this study, we sought to evaluate the in-hospital complications, outcomes, cost, and length of stay (LOS) in angiography-guided versus IVUS-guided PCI among patients with STEMI in the USA using a large-scale database.

Methods

Study population

We utilized the National Inpatient Database Sample (NIS) of the Health Care Utilization project. The description and design of this database are available at http://hcup-us.ahrq.gov. The NIS represents a 20% stratified sample of the all-payer inpatient discharges from US community hospitals, excluding rehabilitation facilities. It contains information from more than 1,200 hospitals located all across the US. These data can be generalized to represent 96% of the US population. Due to the blinded nature of the data and retrospective design of the study, consent and IRB approval were not needed. Data from January 2016 to December 2016 were utilized for this analysis. We identified adult patients (aged ≥18 years) from the NIS database. We used the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) coding system to include patients with STEMI and those who underwent PCI [10,11]. We excluded patients who required coronary artery bypass grafting (CABG) in the same admission as they represent a patient group with a more complex disease that might confound the data (Supplementary Table 1 contains the ICD codes utilized in this analysis and Figure 1 illustrates the selection process).
Figure 1.

Patient selection and exclusion.

Patient selection and exclusion. Summary of the findings.

Baseline characteristics and outcome variables

The primary outcomes were the impact of IVUS on inpatient mortality in STEMI management. The secondary outcomes consisted of the impact of IVUS on inpatient complications such as acute kidney injury (AKI), the requirement for hemodialysis, coronary artery dissection, AKI requiring hemodialysis, ventricular tachycardia, cardiac arrest, the need for respiratory or circulatory support, length of stay, and total cost.

Statistical analysis

We utilized STATA version 16.0 (StataCorp, College Station, Texas, USA) in our analysis. This software enabled us to generate unbiased results and P values while producing representative data that can be generalized on a national level. We estimated the entire US population of hospitalized patients with STEMI using weighting of patient-level observations and clustering, which was provided by this database. We utilized the multiple imputation method to impute missing observations of the vital variable for the accuracy of the result. We employed propensity score matching and multivariate regression analysis to adjust for confounders. Propensity scores were used to match patients with STEMI who had undergone PCI excluding CABG to those who did not. A non-parsimonious multivariate logistic regression model was developed to estimate the propensity score for the following variables: prior stroke, prior myocardial infarction, prior history of PCI, prior history of CABG, prior congestive heart failure (CHF), pulmonary hypertension, hypertension, obesity, dyslipidemia, peripheral vascular disease, chronic lung disease, anemia, chronic kidney disease, metabolic syndrome, and hypothyroidism. The baseline characteristics pertaining to patients (including age, race, residential location, etc.) and hospitals (location, size, teaching status, etc.) were also included. We matched the two groups using generalized linear models after generating treatment weights and determined the inverse probability of treatment weighting using a double robust method [12]. We adjusted for potential confounders using multivariable regression models including all confounders that were significantly associated with the outcome on univariable analysis with a cutoff P value of 0.2. The model accounted for variables that were deemed essential determinants of the outcomes based on literature review. Logistic regression was used for binary outcomes (in-hospital all-cause mortality, shock, hypertension, and anemia, etc.), whereas linear regression was used for continuous outcomes (LOS, total hospitalization charges, and costs). Proportions were compared using the Fisher’s exact test, and continuous variables were compared using the Student t-test. All P values were two-sided, with 0.05 as the threshold for statistical significance.

Results

We identified 105,945 patients who met the study criteria; among these patients, 100,485 underwent PCI under angiography guidance alone, and 5,460 patients underwent PCI under IVUS guidance. Subjects in both the groups had a similar age, sex, and ethnic distribution. Patients who underwent IVUS were more likely to have a prior myocardial infarction, pulmonary hypertension, and dyslipidemia than patients who underwent PCI without IVUS. The use of IVUS was notably increased in the southern and western region of the USA (33% and 31%, respectively). Both groups were equally likely to have atrial fibrillation, prior stroke, prior PCI, prior CABG, history of CHF, peripheral vascular disease, diabetes, chronic kidney disease, anemia, metabolic syndrome, smoking, and alcohol consumption. The baseline characteristics of the two groups are depicted in Table 1, and multiple imputation utilization is shown in Table 2.
Table 1.

Patient demographics and baseline characteristics.

 Total populationSTEMI without IVUSSTEMI with IVUSP value
Total population (N)105,945100,4855,460 
Age in years ± SD62 ± 12.4762 ± 12.5061 ± 11.83 
Female30,682 (28.96)29,171 (29.03)1,515 (27.75)0.398
Race (%)   0.563
White82,023 (77.42)77,785 (77.41)4,246 (77.76) 
Black8,370 (07.90)7,979 (07.94)390 (07.15) 
Hispanic8,338 (07.87)7,938 (07.90)401 (07.35) 
Asian2,978 (02.81)2,804 (02.79)174 (03.18) 
Native American530 (00.50)482 (00.48)49 (00.89) 
Others3,697 (03.49)3,507 (03.49)200 (03.67) 
Insurance   0.021
Medicare (%)44,476 (41.98)42,415 (42.21)2,073 (37.97) 
Medicaid (%)11,569 (10.92)11,003 (10.95)559 (10.24) 
Private (%)42,823 (40.42)40,355 (40.16)2,469 (45.21) 
Self-pay (%)7,077 (06.68)6,712 (06.68)359 (06.58) 
Urban location (%)99,860 (94.26)94,745 (94.29)5,115 (93.68)0.718
Teaching hospitals (%)70,285 (66.34)66,685 (66.36)3,600 (65.93)0.882
Hospital bed size (%)   0.346
Small13,970 (13.19)13,245 (13.18)725 (13.28) 
Medium30,795 (29.07)29,400 (29.26)1,395 (25.55) 
Large61,180 (57.75)57,840 (57.56)3,340 (61.17) 
Hospital region (%)   <0.001
Northeast17,185 (16.22)16,500 (16.42)685 (12.55) 
Midwest25,390 (23.97)24,135 (24.02)1,255 (22.99) 
South42,700 (40.30)40,880 (40.68)1,820 (33.33) 
West20,670 (19.51)18,970 (18.88)1,700 (31.14) 
Median household income in US dollars (%)   0.256
$1 – $38,99928,965 (27.34)27,613 (27.48)1,351 (24.74) 
$39,000 – $47,99928,616 (27.01)27,191 (27.06)1,417 (25.96) 
$48,000 – $62,99926,486 (25.00)25,001 (24.88)1,484 (27.18) 
$63,000 or more21,888 (20.66)20,680 (20.58)1,208 (22.12) 
Disposition (%)   0.178
Routine87,210 (82.41)82,570 (82.27)4,640 (84.98) 
Transfer to short-term hospital2,490 (02.35)2,375 (02.37)115 (02.11) 
Skilled nursing facility4,990 (04.72)4,770 (04.75)220 (04.03) 
Home health care5,595 (05.29)5,300 (05.28)295 (05.40) 
Against Medical Advice710 (00.67)680 (00.68)30 (00.55) 
Deceased4,820 (04.55)4,660 (04.64)160 (02.93) 
Unknown10 (00.01)10 (00.01)0 (00.00) 
Carlson CAT score (%)   0.985
140,315 (38.05)38,250 (38.07)2,065 (37.82) 
234,505 (32.57)32,725 (32.57)1,780 (32.60) 
3 or more31,125 (29.38)29,510 (29.37)1,615 (29.58) 
Chronic comorbidities (%)    
Atrial fibrillation10,970 (10.35)10,405 (10.35)564 (10.35)0.994
Prior stroke4,665 (04.40)4,375 (04.35)290 (05.31)0.122
Prior myocardial infarction11,510 (10.86)10,765 (10.71)745 (13.64)0.003
Prior PCI13,055 (12.32)12,345 (12.29)710 (13.00)0.491
Prior CABG3,625 (03.42)3,445 (03.43)180 (03.30)0.821
Chronic heart failure2,535 (02.39)2,395 (02.38)140 (02.56)0.731
Pulmonary HTN1,910 (01.80)1,750 (01.74)160 (02.93)0.004
Hypertension61,525 (58.07)58,240 (57.96)3,285 (60.16)0.137
Obesity17,525 (16.54)16,515 (16.44)1,010 (18.50)0.096
Dyslipidemia69,870 (65.95)66,055 (65.74)3,815 (69.87)0.008
Peripheral vascular disease4,120 (03.89)3,910 (03.89)210 (03.85)0.940
Chronic lung disease5,915 (05.58)5,550 (05.52)365 (06.68)0.110
Diabetes mellitus31,770 (29.99)30,145 (30.00)1,625 (29.76)0.868
Chronic kidney disease9,445 (08.92)8,935 (08.89)510 (09.34)0.614
Anemia1,445 (01.36)1,360 (01.35)85 (01.56)0.567
Coronary artery disease equivalent90,735 (85.64)85.990 (85.57)4,745 (86.90)0.257
Metabolic syndrome440 (00.42)410 (00.41)30 (00.55)0.467
Hypothyroidism8,685 (08.20)8,170 (08.13)515 (09.43)0.112
Smoking21,620 (20.41)20,480 (20.38)1,140 (20.88)0.712
Cocaine775 (00.73)725 (00.72)50 (00.92)0.449
Alcohol845 (00.80)815 (00.81)30 (00.55)0.339

STEMI: ST-elevation myocardial infarction; IVUS: intravascular ultrasound; HTN: Hypertention.

Table 2.

Missing observation generated with multiple imputation.

Missing values generated with multiple imputation
VariableNumber of missing values generated
Median household income (ZIPINC_QRTL)427
Age1
Deceased25
Female10
Insurance (PAY1)34
Race1185

ZIPINC_QRTL.

Patient demographics and baseline characteristics. STEMI: ST-elevation myocardial infarction; IVUS: intravascular ultrasound; HTN: Hypertention. Missing observation generated with multiple imputation. ZIPINC_QRTL. There was no statistical difference in terms of in-hospital mortality after adjusting for patient-level and hospital-level factors (odds ratio [OR] 0.76, 95% confidence interval (CI) 0.46 − 1.22, P = 0.24); the remaining variables affecting the mortality in STEMI are shown in Table 3. Patients who underwent PCI with IVUS were more likely to have coronary artery dissection (OR 4.26, 95% CI 2.34 − 7.7 p < 0.01), and both groups had a similar incidence of AKI requiring hemodialysis (the complete list of secondary outcomes is provided in Table 4). The mean LOS was similar between both groups (overall mean LOS was 3.51 ± 4.71 days), but the mean total cost was higher in the group that underwent PCI under IVUS guidance (24,541 versus 30,265 US dollars, p < 0.001) as shown in Table 5. Figure 2 summarizes the findings above.
Table 3.

Multivariate non-propensity- and propensity-matched analysis showing the effect of IVUS on mortality in patients with STEMI undergoing PCI with stenting, excluding CABG.

 Non-propensity matched
Propensity matched
VariableOdds ratioP > t95% CIOdds ratioP > t95% CI
IVUS0.6710.0350.46–0.970.7460.2470.46–1.22
AGE1.0460.0001.04–1.051.0450.0001.03–1.06
Insurance      
Medicaid1.1570.2940.88–1.521.0400.8440.70–1.54
Private0.7300.0030.59–0.900.6160.0000.47–0.80
Self-pay1.1870.3210.85–1.670.7950.3100.51–1.24
Hospital region      
Midwest1.2720.0491.00–1.621.2750.1850.89–1.83
South1.3490.0061.09–1.671.2650.1580.91–1.75
West1.5040.0011.19–1.891.0910.6140.78–1.53
Urban location1.4450.0261.04–2.002.2540.0011.40–3.63
Atrial fibrillation1.9150.0001.60–2.292.2100.0001.75–2.78
Prior stroke0.9330.6540.69–1.261.2200.3380.81–1.83
Prior myocardial infarction0.7910.0700.61–1.020.8080.2300.57–1.14
Prior CABG1.0930.6030.78–1.531.5030.1240.89–2.53
Pulmonary hypertension1.1290.5670.74–1.712.1350.0181.14–4.01
Obesity1.0180.8640.83–1.251.0670.6720.79–1.44
Dyslipidemia0.3620.0000.31–0.420.2750.0000.22–0.34
Peripheral vascular disease2.0640.0001.60–2.662.2110.0001.59–3.07
Diabetes mellitus1.7070.0001.47–1.981.8580.0001.50–2.30
Chronic heart failure0.9700.8840.65–1.460.6410.1180.37–1.12
Chronic kidney disease1.3380.0031.11–1.621.6600.0001.28–2.16
Coronary artery disease equivalent0.6400.0000.54–0.760.5900.0000.45–0.77
Metabolic syndrome0.2830.1890.04–1.860.0240.0000.00–0.18
Hypothyroidism0.8500.1820.67–1.080.9410.7010.69–1.29
Cocaine0.6130.4180.19–2.000.5980.3950.18–1.96

IVUS: intravascular ultrasound; CABG: coronary artery bypass grafting.

Table 4.

Secondary outcome percentage with odds ratio.

VariableTotal populationSTEMI & PCI without IVUSSTEMI & PCI with IVUSP valueOR(CI) P value: non-propensity matchedOR(CI) P value: propensity matched
Mechanical ventilation8,840 (08.34)8,464 (08.65)375 (06.87)0.0860.79 (0.60–1.03) 0.080.87 (0.64–1.17) 0.35
Pressure support requirement1,410 (01.33)1,320 (01.31)90 (01.65)0.3571.16 (0.70–1.92) 0.571.16 (0.63–2.10) 0.64
Complete heart block2,965 (02.80)2,785 (02.77)180 (03.30)0.2741.20 (0.87–1.67) 0.271.26 (0.86–1.83) 0.23
Hemorrhage620 (00.59)575 (00.57)45 (00.82)0.2861.38 (0.67–2.85) 0.39-
Blood transfusion1,590 (01.50)1,510 (01.50)80 (01.47)0.9181.03 (0.62–1.69) 0.910.66 (0.36–1.22) 0.19
Hemorrhage requiring BT70 (00.07)65 (00.06)5 (00.09)0.7371.61 (0.22–11.69) 0.64-
Coronary artery dissection985 (00.93)835 (00.83)150 (02.75)<0.0013.44 (2.30–5.16) <0.014.26 (2.34–7.77) <0.01
Left ventricular assist devices8,145 (07.69)7,710 (07.67)435 (07.97)0.7261.02 (0.81–1.29) 0.851.02 (0.80–1.31) 0.88
Extracorporeal membrane oxygenation265 (00.25)255 (00.25)10 (00.18)0.6500.75 (0.17–3.25) 0.70-
Acute kidney injury10,375 (09.79)9,830 (09.78)545 (09.98)0.8371.02 (0.81–1.28) 0.891.15 (0.89–1.47) 0.28
Hemodialysis1,270 (01.20)1,205 (01.20)65 (01.10)0.9820.96 (0.51–1.81) 0.90-
AKI requiring hemodialysis290 (00.27)270 (00.27)20 (00.37)0.5491.43 (0.52–3.94) 0.49-
Acute stroke215 (00.20)205 (00.20)10 (00.18)0.8820.96 (0.24–3.77) 0.95-
Respiratory failure3,950 (03.73)3,795 (03.78)155 (02.84)0.1370.75 (0.50–1.12) 0.160.76 (0.48–1.19) 0.23
Ventricular tachycardia18,120 (17.10)17,165 (17.08)955 (17.49)0.7310.98 (0.83–1.16) 0.780.96 (0.83–1.11) 0.59
Cardiac arrest5,770 (05.45)5,495 (05.47)275 (05.04)0.5480.90 (0.67–1.20) 0.460.82 (0.61–1.12) 0.21

STEMI: ST-elevation myocardial infarction; IVUS: intravascular ultrasound; percutaneous coronary intervention; BT: Blood Transfusion.

Table 5.

Mean hospital stay and total hospitalization cost in US dollars.

VariableOverall STEMI & PCISTEMI + PCI without IVUSSTEMI + PCI with IVUSNon-propensity-matched P valuePropensity-matched P value
Median LOS (Days)3.51 ± 4.713.51 ± 4.763.61 ± 3.610.1750.174
Mean total cost (US $)24,83624,54130,265<0.001<0.001

STEMI: ST-elevation myocardial infarction; IVUS: intravascular ultrasound; percutaneous coronary intervention; LOS: length of stay.

Figure 2.

Summary of the findings.

Multivariate non-propensity- and propensity-matched analysis showing the effect of IVUS on mortality in patients with STEMI undergoing PCI with stenting, excluding CABG. IVUS: intravascular ultrasound; CABG: coronary artery bypass grafting. Secondary outcome percentage with odds ratio. STEMI: ST-elevation myocardial infarction; IVUS: intravascular ultrasound; percutaneous coronary intervention; BT: Blood Transfusion. Mean hospital stay and total hospitalization cost in US dollars. STEMI: ST-elevation myocardial infarction; IVUS: intravascular ultrasound; percutaneous coronary intervention; LOS: length of stay.

Discussion

We evaluated the in-hospital mortality and outcomes in patients with STEMI who underwent angiography-guided versus IVUS-guided PCI using the US national inpatient database. In our study, IVUS was utilized in 5% of the cases. Our main findings were as follows: (1) In-hospital mortality, AKI requiring dialysis, acute stroke, and cardiac arrest were similar in the two groups. (2) Coronary artery dissection was significantly higher in patients who had IVUS-guided PCI. IVUS is a useful ancillary device that is often employed by interventional cardiologists during PCI. It is used to size the stent prior to its implantation and to adjust the stent apposition and expansion post deployment. It also helps to identify complications post stent placement [13,14]. Currently, IVUS holds a class IIa recommendation from the American College of Cardiology/American Heart Association for the evaluation of indeterminate left main lesions and a class IIb recommendation for indeterminate non-left main lesions [15]. Since its introduction in the late 1980s, IVUS has enhanced our understanding of plaque pathology in patients with acute coronary syndromes [16-18]. Studies have shown that IVUS-guided PCI was associated with better cardiovascular outcomes than those of traditional angiography-guided PCI [3-5]. However, there is a lack of evidence and limited studies comparing inpatient outcomes between IVUS-guided PCI and conventional PCI in STEMI patients. A studey suggested an increased incidence of myocardial infarction when IVUS was used [7]. A recent Japanese trial reported results of 6 years’ experience of 11,570 consecutive patients who underwent PCI. Similar rates of coronary dissection were observed between the traditional angiography group and the IVUS-assisted PCI group, including similar myocardial infarction rates [19]. Our study did not yield a statistical difference between the two study groups in terms of mortality during hospitalization. A previous study examined the amount of contrast agents used during PCI and suggested the possibility of controlling the amount of contrast media when IVUS was utilized [8]. We examined the rates of AKI and did not observe a statistical difference between the two groups, even after applying propensity matching. Our analysis showed a statistically significant difference in the rate of coronary dissection in patients undergoing IVUS with a fourfold increase in the OR. This increase might be due to factors related to the culprit lesion. As angiography is an invasive procedure; therefore, it is considered operator dependent, and the complications can be attributed to the different techniques used during the procedure. IVUS has been widely used to assist in the diagnosis of spontaneous coronary artery dissection due to better visualization of the flap or intramural hematoma [20]. The high number of coronary artery dissection cases observed in the IVUS group may be due to a primary spontaneous coronary artery dissection (SCAD) presenting as a STEMI, rather than an iatrogenic dissection caused by the procedure. Available literature reported a general complication rate of 0.5% to 4% when IVUS is used. The reported complications included coronary spasms, coronary dissection, femoral artery aneurysms, and rarely coronary rupture [1]. SIPS trial reported similar coronary dissection in 3% of the cases where IVUS was utilized and 3.2% in angiography arm [21].

Study limitations

We identified a few limitations to our study that deserve to be highlighted. First, we identified data from the NIS with variables that are subject to coding system errors. Nevertheless, the NIS has been heavily utilized for research in various medical subspecialties and is considered a validated tool. Second, the retrospective observational nature of the study design, despite the propensity matching, may result in residual selection bias and confound the results. Third, the data we analyzed lacked information on the types of stents used, the culprit vessel, TIMI flow, stent sizing, and the number of vessels revascularized. Therefore, the beneficial effect of IVUS may be underestimated in this retrospective analysis given that the IVUS group consisted of only 5% of the total population studied. Fourth, no information was present on whether the coronary dissection was the primary cause of the STEMI or was a complication of the procedure. Fifth, the database does not provide information on outcomes post discharge and long-term sequelae such as stent thrombosis. Lastly, our cost analysis did not include the expenses of short- and long-term rehabilitation facilities (if any), which may have led to an underestimation of the total medical expenditure.

Conclusions

This is the first study evaluating the in-hospital outcomes of standard PCI versus IVUS-guided PCI in patients with STEMI. We did not observe any statistical difference in the in-hospital mortality, hemodialysis, or use of support devices, even when IVUS was employed. In contrast, a higher number of coronary dissection cases were observed in the group with IVUS utilization in STEMI management. Despite the findings in our study, IVUS has been shown to provide valuable diagnostic information. Given the high cost of hospitalization associated with the use of IVUS, a large prospective randomized trial further examining the differences between the two groups is required in the future. Click here for additional data file.
  21 in total

1.  Impact of intravascular ultrasound guidance in routine percutaneous coronary intervention for conventional lesions: data from the EXCELLENT trial.

Authors:  Kyung Woo Park; Si-Hyuck Kang; Han-Mo Yang; Hae-Young Lee; Hyun-Jae Kang; Young-Seok Cho; Tae-Jin Youn; Bon-Kwon Koo; In-Ho Chae; Hyo-Soo Kim
Journal:  Int J Cardiol       Date:  2012-04-04       Impact factor: 4.164

2.  2011 ACCF/AHA/SCAI Guideline for Percutaneous Coronary Intervention: executive summary: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines and the Society for Cardiovascular Angiography and Interventions.

Authors:  Glenn N Levine; Eric R Bates; James C Blankenship; Steven R Bailey; John A Bittl; Bojan Cercek; Charles E Chambers; Stephen G Ellis; Robert A Guyton; Steven M Hollenberg; Umesh N Khot; Richard A Lange; Laura Mauri; Roxana Mehran; Issam D Moussa; Debabrata Mukherjee; Brahmajee K Nallamothu; Henry H Ting
Journal:  Circulation       Date:  2011-11-07       Impact factor: 29.690

3.  Frequency and prognostic impact of intravascular imaging-guided urgent percutaneous coronary intervention in patients with acute myocardial infarction: results from J-MINUET.

Authors:  Hiroyuki Okura; Yoshihiko Saito; Tsunenari Soeda; Koichi Nakao; Yukio Ozaki; Kazuo Kimura; Junya Ako; Teruo Noguchi; Satoshi Yasuda; Satoru Suwa; Kazuteru Fujimoto; Yasuharu Nakama; Takashi Morita; Wataru Shimizu; Atsushi Hirohata; Yasuhiro Morita; Teruo Inoue; Atsunori Okamura; Masaaki Uematsu; Kazuhito Hirata; Kengo Tanabe; Yoshisato Shibata; Mafumi Owa; Kenichi Tsujita; Kunihiro Nishimura; Yoshihiro Miyamoto; Masaharu Ishihara
Journal:  Heart Vessels       Date:  2018-11-02       Impact factor: 2.037

Review 4.  Intravascular ultrasound in the drug-eluting stent era.

Authors:  Gary S Mintz; Neil J Weissman
Journal:  J Am Coll Cardiol       Date:  2006-07-12       Impact factor: 24.094

5.  Comparison of plaque characteristics in narrowings with ST-elevation myocardial infarction (STEMI), non-STEMI/unstable angina pectoris and stable coronary artery disease (from the ADAPT-DES IVUS Substudy).

Authors:  Liang Dong; Gary S Mintz; Bernhard Witzenbichler; D Christopher Metzger; Michael J Rinaldi; Peter L Duffy; Giora Weisz; Thomas D Stuckey; Bruce R Brodie; Kyeong Ho Yun; Ke Xu; Ajay J Kirtane; Gregg W Stone; Akiko Maehara
Journal:  Am J Cardiol       Date:  2015-01-14       Impact factor: 2.778

6.  Real-world use of intravascular ultrasound in Japan: a report from contemporary multicenter PCI registry.

Authors:  Toshiki Kuno; Yohei Numasawa; Mitsuaki Sawano; Takayuki Abe; Ikuko Ueda; Masaki Kodaira; Masahiro Suzuki; Shigetaka Noma; Iwao Nakamura; Koji Negishi; Shiro Ishikawa; Keiichi Fukuda; Shun Kohsaka
Journal:  Heart Vessels       Date:  2019-05-25       Impact factor: 2.037

7.  Generalizing observational study results: applying propensity score methods to complex surveys.

Authors:  Eva H Dugoff; Megan Schuler; Elizabeth A Stuart
Journal:  Health Serv Res       Date:  2013-07-16       Impact factor: 3.402

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Journal:  Circulation       Date:  2000-11-14       Impact factor: 29.690

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