Literature DB >> 30413496

Association of coronary dominance with the severity of coronary artery disease: a cross-sectional study in Shaanxi Province, China.

Bin Yan1, Jian Yang1, Yajuan Fan2, Binbin Zhao2, Qingyan Ma2, Lihong Yang1, Xiancang Ma2.   

Abstract

OBJECTIVE: To investigate whether coronary artery dominance is associated with the severity of coronary artery disease (CAD).
DESIGN: Cross-sectional study.
SETTING: Single-centre. PARTICIPANTS: Between July 2015 and February 2017, 1654 patients who underwent coronary angiography (CAG) were recruited into this cross-sectional study. MEASUREMENT AND METHODS: According to coronary dominance, patients were classified into left dominance (LD), right dominance (RD) and codominance (CD) based on the CAG results. Multiple linear regression analysis was performed to test the association between severity of CAD and coronary dominance.
RESULTS: The total Gensini score was significantly higher in the RD group than in the left-CD group (42.3±33.6 vs 36.3±29.8; p=0.033). After adjusting for potential confounding factors, the results of multivariate linear regression showed that RD was associated with the severity of CAD (β=6.699, 95% CI 1.193 to 12.205, p=0.017).
CONCLUSIONS: The results suggest that right coronary dominance was associated with the severity of CAD. © Author(s) (or their employer(s)) 2018. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  coronary heart disease; coronary intervention; vascular medicine

Year:  2018        PMID: 30413496      PMCID: PMC6231567          DOI: 10.1136/bmjopen-2017-021292

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


This is the first study to investigate the association of right coronary dominance with the severity of coronary artery disease. This cross-sectional study included 1654 patients who underwent coronary angiography during their hospital stay in Northern China. The patients were recruited from a single centre; therefore, the study population of right dominance and codominance groups was relatively small.

Introduction

Coronary artery disease (CAD) is one of the most common types of diseases around the world.1 It is recognised that obesity, blood pressure, smoking, diabetes, exercise, diet, cholesterol and depression were associated with the incidence of CAD.2 In clinical practice, the severity of coronary artery stenosis is usually evaluated by the Gensini score or the SYNergy between percutaneous coronary intervention with TAXus and cardiac surgery (SYNTAX) score.3 Several studies have shown that coronary artery dominance is associated with cardiovascular prognosis in patients with acute coronary syndrome.4–7 Variation of coronary dominance includes left dominance (LD), right dominance (RD) and codominance (CD) based on the vascular supply of the posterior interventricular septum (IVS).8 9 In the general population, RD is the most prevalent, found in approximately 70% of the population, while LD occurs in about 10% of cases and CD is present in 20% of cases.10 LD was found to be associated with increased long-term mortality in patients with CAD.11 12 However, little is known about the role of RD in CAD. Previous studies showed that RD, LD and CD have a prevalence of approximately 82%–89%, 5%–12% and 3%–7%, respectively, in a hospital population.4 13–15 There seems to have different distributions of coronary dominance between the general population and patients with CAD. Therefore, we conducted this study to investigate whether right coronary dominance was associated with CAD and its severity.

Methods

Study population

Between July 2015 and February 2017, 1654 in-hospital patients who underwent coronary angiography (CAG) during their hospital stay were recruited from the CAG database of the First Affiliated Hospital of Xi’an Jiaotong University. All patients included in this study had standard clinical indications for CAG. The exclusion criteria were (1) previous coronary artery bypass graft operation or CAG, (2) those with chronic and systemic disease, and (3) incomplete CAG reports and medical records. All patients’ records were anonymised and de-identified before analysis.

Patient and public involvement

Patients were not involved in the hypothesis, design, conduct and data analysis, and we will not disseminate the results of this study to participants.

Definitions

Hypertension was defined as an office blood pressure over 140/90 mm Hg or a 24-hour ambulatory blood pressure over 135/85 mm Hg.16 Diabetes mellitus was diagnosed in patients with a fasting plasma glucose level ≥7.0 mmol/L (126 mg/dL) or 2-hour postload plasma glucose level ≥11.0 mmol/L (200 mg/dL).17 Smoking was defined as ever-smoked 100 cigarettes or currently smoking every day or some days.18

CAG results

All patients underwent CAG using a standard clinical technique through the femoral artery or radial artery approach.19 The CAG report was written and checked by interventional cardiologists. The phenotype of coronary dominance was divided based on the CAG. The posterior descending artery was originated the right coronary artery (RCA) in patients with RD. The posterior descending artery that diverged from the left circumflex (LCx) artery was defined as LD. Codominant anatomy was defined when the posterior descending artery (PDA) originated from the RCA and a large posterolateral branch that originated from the LCx branch reached near the posterior interventricular groove.10 13 The severity of CAD was evaluated using the Gensini score. In this scoring system, 0 indicates no abnormality, 1 represents stenosis of ≤25%, 2 represents stenosis of 26%–50%, 4 represents stenosis of 51%–75%, 16 represents stenosis of 76%–99%, and 32 represents complete occlusion. The score is then multiplied by different factors according to the functional significance of the coronary artery. The evaluation of each segment was performed by multiplying the scores by 5 for the left main trunk, by 2.5 for the proximal left anterior descending (LAD) branch, by 1.5 for the middle LAD, by 1 for the distal LAD, by 1 for the first diagonal branch, by 0.5 for the second diagonal branch, by 2.5 for the proximal LCx, by 1 for the distal LCx and posterior descending branch, and by 0.5 for the posterior branch, while the RCA was performed by multiplying the scores by 1 for the proximal, middle and distal RCA and the posterior descending branch, and by 0.5 for the posterior branch. The final score was calculated by adding the scores of each segment.20–22 The patients were then divided into four groups according to the total score (0–12, 13–24, 25–52 and ≥53).23

Statistical analysis

All statistical analyses were performed using SPSS V.24.0. A p value <0.05 was considered statistically significant. The continuous variables are presented as mean±SD. Categorical variables are presented as number and percentages. Analysis of variance and the χ2 test were used to compare the variables between the subgroups of different grades of the Gensini score. Gensini score was divided into first grade (0–12.5), second grade (13–24.5), third grade (25–52.5) and fourth grade (≥53). Patients with LD or CD anatomies were placed in the left-CD group, while those with RD anatomy were included in the RD group. A multiple linear regression analysis was performed to test the association between the severity of CAD and the following variables: age, gender, smoking status, diabetes mellitus, hypertension, hyperlipidaemia, heart rate, family history of CAD, systolic blood pressure (SBP), diastolic blood pressure (DBP) and coronary dominance.

Results

Patient characteristics

The study included 1654 patients (1235 men and 419 women, mean age 59.4±10.4) who underwent CAG. Patients were divided into four groups based on the Gensini score, which were 0–12 (first grade; n=347), 13–24 (second grade; n=329), 25–52 (third grade; n=486) and ≥53 (fourth grade; n=492). Gender, SBP, DBP, heart rate, diabetes mellitus, hypertension, smoking, hyperlipidaemia, coronary vessel disease, history of CAD and coronary dominance were compared in the four groups. The baseline characteristics are shown in table 1 according to Gensini score.
Table 1

Baseline characteristics of patients

Clinical variablesTotal (n=1654)First (n=347)Second (n=329)Third (n=486)Fourth (n=492)
Age (years)59.4±10.458.5±9.959.1±10.659.3±10.660.2±10.4
Gender, n (%)
 Male1235 (74.7)225 (64.8)239 (72.6)368 (75.7)403 (81.9)
 Female419 (25.3)122 (35.2)90 (27.4)118 (24.3)89 (18.1)
Baseline SBP (mm Hg)134.6±21.0135.8±19.9135.8±20.4134.4±20.6133.1±22.6
Baseline DBP (mm Hg)78.3±12.379.1±12.978.5±12.077.7±11.378.3±12.8
Heart rate (bpm)75.5±13.274.3±12.175.3±14.075.4±12.676.6±14.1
CAD risk factors, n (%)
 Diabetes mellitus321 (19.4)33 (9.5)65 (19.8)102 (21.0)121 (24.6)
 Hypertension870 (52.6)174 (50.1)175 (53.2)263 (54.1)258 (52.4)
 Current smoking841 (50.8)156 (45.0)170 (51.7)262 (53.9)253 (51.4)
 Hyperlipidaemia182 (11.0)42 (12.1)37 (11.2)51 (10.5)52 (10.6)
Diagnosis, n (%)
 AMI730 (44.1)44 (12.7)97 (29.5)251 (51.6)338 (68.7)
 Unstable angina311 (18.8)67 (19.3)83 (25.2)81 (16.7)80 (16.3)
CAD on CAG, n (%)
 One-vessel disease (≥50%)465 (28.1)239 (68.9)124 (37.7)76 (15.6)26 (5.3)
 Multivessel disease (≥50%)1189 (71.9)108 (31.1)205 (62.3)410 (84.4)466 (94.7)
History, n (%)
 Prior MI134 (8.1)9 (2.6)16 (4.9)49 (10.1)60 (12.2)
 Family history of CAD475 (28.7)107 (30.8)98 (29.8)126 (25.9)144 (29.3)
Coronary dominance, n (%)
 Right dominance1500 (90.6)304 (87.6)297 (90.3)445 (91.5)454 (92.3)
 Left dominance110 (6.7)30 (8.7)22 (6.7)30 (6.2)28 (5.7)
 Codominance44 (2.7)13 (3.7)10 (3.0)11 (2.3)10 (2.0)

Four groups were based on the Gensini score: first grade (0–12.5), second grade (13–24.5), third grade (25–52.5) and fourth grade (≥53). Results are presented as mean±SD or n (%).

AMI, acute myocardial infarction; bpm, beats per minute; CAD, coronary artery disease; CAG, coronary artery angiography; DBP, diastolic blood pressure; MI, myocardial infarction; SBP, systolic blood pressure.

Baseline characteristics of patients Four groups were based on the Gensini score: first grade (0–12.5), second grade (13–24.5), third grade (25–52.5) and fourth grade (≥53). Results are presented as mean±SD or n (%). AMI, acute myocardial infarction; bpm, beats per minute; CAD, coronary artery disease; CAG, coronary artery angiography; DBP, diastolic blood pressure; MI, myocardial infarction; SBP, systolic blood pressure.

Association between Gensini score and coronary dominance

The total Gensini score was significantly higher in the RD group than in the left-CD group (42.3±33.6 vs 36.3±29.8; p=0.033). Also, patients in the RD group have a higher Gensini score than patients in the left-CD groups in RCA (p<0.001) and posterior descending artery (p=0.013) (table 2). In addition, RD tended to have higher proportion in the third and fourth grade of the Gensini score (figure 1).
Table 2

Gensini score and coronary dominance

RD (n=1500)Left+CD (n=154)P values
Age (years)59.4±10.459.2±9.50.769
Gender, n (%)0.242
 Male1114 (74.3)121 (78.6)
 Female386 (25.7)33 (21.4)
Baseline SBP (mm Hg)134.8±21.2132.6±19.50.231
Baseline DBP (mm Hg)78.4±12.478.1±11.00.819
Heart rate (bpm)75.4±13.176.5±14.80.341
CAD risk factors, n (%)
 Diabetes mellitus295 (19.7)26 (16.9)0.406
 Hypertension797 (53.1)73 (47.4)0.175
 Current smoking758 (50.5)83 (53.9)0.427
 Hyperlipidaemia164 (10.9)18 (11.7)0.776
Total Gensini score42.3±33.636.3±29.80.033
 LM1.7±7.31.7±7.70.935
 LAD21.1±21.119.7±20.00.433
 RCA7.8±10.84.7±8.5<0.001
 LCx9.1±14.58.2±12.40.424
 Diagonal branch1.3±2.71.1±2.40.402
 Septal branch0.1±0.50.1±0.80.491
 OM0.7±2.20.6±2.00.848
 Posterior descending artery0.6±2.10.2±1.50.013

bpm, beats per minute; CAD, coronary artery disease; CD, codominance; DBP, diastolic blood pressure; LAD, left anterior descending branch; LCx, left circumflex branch; LM, left main coronary artery; OM, obtuse marginal branch; RCA, right coronary artery; RD, right dominance; SBP, systolic blood pressure.

Figure 1

Distribution of RD and left-CD groups in different grades of Gensini score. CD, codominance; RD, right dominance.

Gensini score and coronary dominance bpm, beats per minute; CAD, coronary artery disease; CD, codominance; DBP, diastolic blood pressure; LAD, left anterior descending branch; LCx, left circumflex branch; LM, left main coronary artery; OM, obtuse marginal branch; RCA, right coronary artery; RD, right dominance; SBP, systolic blood pressure. Distribution of RD and left-CD groups in different grades of Gensini score. CD, codominance; RD, right dominance. Univariate linear regression analysis showed that RD, age, gender, diabetes and heart rate were associated with increasing Gensini score (table 3). After adjusting for age, gender, diabetes and heart rate, RD (β=6.699, 95% CI 1.193 to 12.205, p=0.017) was positively associated with the Gensini score of patients (table 4). The final multiple linear regression model also showed a positive correlation between RD and Gensini score.
Table 3

Univariate linear regression analysis for Gensini score

Variableβ (95% CI)P values
Right dominance5.991 (0.474 to 11.508)0.033
Age0.187 (0.033 to 0.342)0.017
Male9.811 (6.150 to 13.472)<0.001
Smoking1.098 (−2.113 to 4.309)0.503
Hypertension1.033 (−2.182 to 4.247)0.529
Diabetes mellitus8.408 (4.369 to 12.447)<0.001
Hyperlipidaemia−2.038 (−7.167 to 3.091)0.436
Family history of CAD−0.652 (−4.200 to 2.896)0.719
SBP−0.065 (−0.142 to 0.013)0.100
DBP−0.008 (−0.141 to 0.125)0.911
Heart rate0.148 (0.025 to 0.271)0.018

CAD, coronary artery disease; DBP, diastolic blood pressure; SBP, systolic blood pressure.

Table 4

Multivariate linear regression analysis for Gensini score

Variableβ (95% CI)P values
Unadjusted5.991 (0.474 to 11.508)0.033
Model 16.404 (0.945 to 11.862)0.022
Model 26.699 (1.193 to 12.205)0.017
Model 36.829 (1.312 to 12.346)0.015

Model 1: adjusted for age and gender.

Model 2: adjusted for age and gender, diabetes, and heart rate.

Model 3: adjusted for age and gender, diabetes, heart rate, smoking, hypertension, hyperlipidaemia, history of coronary artery disease, systolic blood pressure and diastolic blood pressure.

Univariate linear regression analysis for Gensini score CAD, coronary artery disease; DBP, diastolic blood pressure; SBP, systolic blood pressure. Multivariate linear regression analysis for Gensini score Model 1: adjusted for age and gender. Model 2: adjusted for age and gender, diabetes, and heart rate. Model 3: adjusted for age and gender, diabetes, heart rate, smoking, hypertension, hyperlipidaemia, history of coronary artery disease, systolic blood pressure and diastolic blood pressure.

Discussion

Coronary circulation is categorised as RD, LD and CD according to the blood supply of the posterior IVS using CAG or CT-CAG.4 Previous studies have shown that coronary artery dominance was closely related to cardiovascular outcomes.4 A study of 1131 patients showed that LD was associated with an increased risk of 30-day mortality and early reinfarction after ST-elevated myocardial infarction.24 Goldberg et al 7 demonstrated that LD was a risk factor for increased long-term mortality in patients with acute coronary syndrome. However, little is known about the role of RD in CAD. In this study, we found that RD was associated with the severity of CAD. The results indicated that RD was more prone to have serious CAD stenosis and may serve as a marker of CAD severity. In the general population, RD anatomy has a prevalence of approximately 70%.10 In addition, LD and RD have a reported prevalence of approximately 5%–12% and 82%–89%, respectively, whereas CD is found in 3%–7% of individuals based on a hospital population.5–7 25 26 The proportion of RD, LD and CD in our study was 90.6%, 6.7% and 2.7%, respectively. The phenomenon reminds us that the RD group may have higher percentage in a hospital population than in the general population. The Gensini score is a quick and easy way to quantify the severity of CAD in the clinical work. Therefore, we used this scoring system to further investigate the association between coronary dominance and CAD. In our study, the total Gensini score of an RD patient was obviously higher than a patient with left-CD. After multiple linear regression, RD showed a positive correlation with Gensini score. A previous study with a large population found a higher prevalence of triple vessel disease in patients with RD than in patients with LD.26 The result indicated that patients with RD tended to have more serious coronary stenosis. At present, the mechanism between RD and the severity of CAD is still not known. Therefore, further research is needed to detect the underlying mechanism for developing more severe lesions in patients with RD. Some potential limitations in this study should be noted. First, our finding was based on a Northern Chinese population. Therefore, the results should not be extended to all ethnic groups. Second, our data were obtained from a hospital database, so the outcomes of patients were unavailable. Finally, the study population was relatively small, which led to a smaller group of individuals with LD and CD.

Conclusion

The present study reported that patients with RD had a significantly higher proportion of serious coronary stenosis than patients with LD and CD. Right coronary dominance was associated with the severity of CAD. A prospective, multicentre cohort study may further validate our findings.
  26 in total

1.  2011 ACCF/AHA/SCAI Guideline for Percutaneous Coronary Intervention: 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

2.  Association of coronary atherosclerotic burden with clinical presentation and prognosis in patients with stable and unstable coronary artery disease.

Authors:  Gjin Ndrepepa; Tomohisa Tada; Massimiliano Fusaro; Salvatore Cassese; Lamin King; Martin Hadamitzky; Hans-Ullrich Haase; Albert Schömig; Adnan Kastrati; Jürgen Pache
Journal:  Clin Res Cardiol       Date:  2012-07-08       Impact factor: 5.460

3.  Coronary artery dominance.

Authors:  Michele M Pelter; Salah S Al-Zaiti; Mary G Carey
Journal:  Am J Crit Care       Date:  2011-09       Impact factor: 2.228

4.  Coronary artery dominance and the risk of adverse clinical events following percutaneous coronary intervention: insights from the prospective, randomised TWENTE trial.

Authors:  Ming Kai Lam; Kenneth Tandjung; Hanim Sen; Mounir W Z Basalus; K Gert van Houwelingen; Martin G Stoel; Johannes W Louwerenburg; Gerard C M Linssen; Salah A M Saïd; Mark B Nienhuis; Frits H A F de Man; Job van der Palen; Clemens von Birgelen
Journal:  EuroIntervention       Date:  2015-06       Impact factor: 6.534

5.  Prognostic value of coronary vessel dominance in relation to significant coronary artery disease determined with non-invasive computed tomography coronary angiography.

Authors:  Caroline E Veltman; Fleur R de Graaf; Joanne D Schuijf; Jacob M van Werkhoven; J Wouter Jukema; Philipp A Kaufmann; Aju P Pazhenkottil; Lucia J Kroft; Eric Boersma; Jeroen J Bax; Martin J Schalij; Ernst E van der Wall
Journal:  Eur Heart J       Date:  2012-03-04       Impact factor: 29.983

6.  Clinical outcomes in patients with acute left circumflex/obtuse marginal occlusion presenting with myocardial infarction.

Authors:  W Kyle Stribling; Michael C Kontos; Antonio Abbate; Richard Cooke; George W Vetrovec; Kapildeo Lotun
Journal:  J Interv Cardiol       Date:  2010-10-19       Impact factor: 2.279

7.  Angiographic score assessment improves cardiovascular risk prediction: the clinical value of SYNTAX and Gensini application.

Authors:  Christoph Sinning; Lars Lillpopp; Sebastian Appelbaum; Francisco Ojeda; Tanja Zeller; Renate Schnabel; Edith Lubos; Annika Jagodzinski; Till Keller; Thomas Munzel; Christoph Bickel; Stefan Blankenberg
Journal:  Clin Res Cardiol       Date:  2013-03-23       Impact factor: 5.460

8.  Associations between pentraxin 3 and severity of coronary artery disease.

Authors:  Hua Liu; Shaofeng Guan; Weiyi Fang; Fang Yuan; Min Zhang; Xinkai Qu
Journal:  BMJ Open       Date:  2015-04-08       Impact factor: 2.692

9.  Impact of coronary dominance on in-hospital outcomes after percutaneous coronary intervention in patients with acute coronary syndrome.

Authors:  Toshiki Kuno; Yohei Numasawa; Hiroaki Miyata; Toshiyuki Takahashi; Koichiro Sueyoshi; Takahiro Ohki; Koji Negishi; Akio Kawamura; Shun Kohsaka; Keiichi Fukuda
Journal:  PLoS One       Date:  2013-08-26       Impact factor: 3.240

10.  Prognostic value of anatomical dominance of coronary circulation in patients with surgical myocardial revascularization.

Authors:  Edin Omerbasic; Aida Hasanovic; Amir Omerbasic; Sanko Pandur
Journal:  Med Arch       Date:  2015-02-21
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