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All issues > Volume 62(6); 2019

Lee, Park, and Kil: Change of coronary artery indices according to coronary dominance pattern in early childhood

Change of coronary artery indices according to coronary dominance pattern in early childhood

Yoon jin Lee, MD, Kyoung Soo Park, MD, Hong Ryang Kil, MD, PhD
Corresponding author: Hong Ryang Kil, MD Department of Pediatrics, Chungnam National University Hospital, Chungnam National University School of Medicine, 282 Munhwa-ro, Jung-gu, Daejeon 35015, Korea Tel: +82-42-280-7251 Fax: +82-42-255-3158 E-mail: gilhong@cnu.ac.kr
Received October 1, 2018       Revised November 9, 2018       Accepted November 22, 2018
Abstract
Purpose
Purpose
Coronary arterial lesion assessment in children can be difficult, depending on the coronary dominance pattern. Although it is easier to determine coronary dominance with echocardiography in children than in adults, it is still difficult. This study aimed to examine the coronary dominance pattern according to the objective coronary artery (CA) indices.
Methods
Methods
The CA diameter, aortic valve annulus, and abdominal aorta of 69 children without any cardiovascular disease were measured with cross-sectional echocardiography at Chungnam National University Hospital. To evaluate the coronary dominance pattern, echocardiography was primarily used; additionally, coronary computed tomographic angiography or coronary angiography (CAG). Coronary dominance was determined according to the status of the CA that gives rise to the posterior descending artery.
Results
Results
The mean age was 4.02±2.78 years, and the mean body surface area (BSA) was 0.70±0.22 m2 . Right dominance was present in 78% and left in 22% of the subjects. In those with left dominance, the CA to aortic valve annulus diameter ratio was 0.125±0.021 in the right coronary artery (RCA) and 0.255±0.032 in the left coronary artery (LCA). In those with right dominance, the corresponding ratio was 0.168±0.028 in the RCA and 0.216±0.030 in the LCA (P<0.05). Significant differences were also found in the diametric ratios of the CA to BSA and abdominal aorta (P<0.05).
Conclusion
Conclusion
The CA indices showed significant difference according to the coronary dominance pattern in early childhood. It is possible to indirectly determine the coronary dominance pattern with the CA indices in children using echocardiography. The accuracy of coronary artery lesion diagnosis can be improved by taking coronary dominance into account.
Introduction
Introduction
Variants of coronary artery (CA) anatomy are encountered in several types of congenital heart disease. Kawasaki disease (KD) is the most common cause of acquired heart disease in children living in developed countries. The diagnosis relies on clinical observation, and, in most cases, CA dilation or aneurysms are assessed using echocardiography [1]. In adults, CA anatomy and anomalies can be accurately evaluated using noninvasive imaging of the CA with coronary computed tomographic angiography (CCTA). However, the use of CCTA is limited in children. Although normalization of the CA dimension for body surface area (BSA) as z scores based on regression equations allows standardization as a continuous measure in the Japanese Circulation Society (JCS) and American Heart Association guideline, the assessment of a coronary artery lesion (CAL) can be difficult depending on the pattern of coronary dominance [2,3]. Although a study of the coronary-aorta index (CA-to-aortic-annulus ratio) or normal CA dimensions established reference ranges for CA in children, it did not take coronary dominance into account [4,5]. No criterion exists with respect to variations in the inner diameters of the right coronary artery (RCA) and left coronary artery (LCA) according to coronary dominance in the literature, thus causing considerable difficulty in evaluating CAL. Additionally, it is difficult to determine coronary dominance with echocardiography in adults as well as children. If CAL is evaluated without taking coronary dominance into consideration, a normal CA could be determined as abnormal. If a change of CA indices according to known coronary dominance is determined, the accuracy of CAL diagnosis can be improved by taking coronary dominance into account. Accordingly, the authors conducted the present study to examine the change of CA indices according to the pattern of coronary dominance.
Materials and methods
Materials and methods
1. Subjects
1. Subjects
The subjects of the study were 69 children (32 boys and 37 girls) who were referred to the Department of Pediatrics at Chungnam National University Hospital between June 2017 and June 2018. Children included in the study were subjected to full clinical and echocardiographic examinations before enrollment. Criteria for children included in the study were that they were between 3 months and 13 years of age, that they had structurally normal hearts with normal clinical and echocardiography examinations, and that echocardiography was to be performed for one of the following reasons: evaluation of asymptomatic cardiac murmurs, musculoskeletal chest pain, or a suspected abnormal chest X-ray. In 5 of 69 subjects, coronary angiography (CAG) or CCTG was performed for the evaluation of uncertain CALs or anomalies.
2. Procedures
2. Procedures
The subjects were examined using an ultrasound system (Vivid 7 imaging system, GE, Chicago, IL, USA) connected to standard transthoracic transducers, in the supine or lateral decubitus position. For each subject, the highest frequency transducer with adequate penetrance was used. All standard and modified apical, parasternal, and subcostal views were used to follow the course of the left main coronary artery, left anterior descending coronary artery, left circumflex coronary artery (LCX), and RCA, from the start of each artery and distally as far as possible using a previously published technique [6]. The maximal internal luminal diameters of the right and left coronary arteries during diastole were measured at 5–10 mm distal to their origins from the aorta. The diameter of the aortic annulus was measured in standard parasternal long axis view, at end systole, from hinge point to hinge point of the aortic cusps. To assess the pattern of coronary dominance, the origin of the posterior descending artery (PDA) was examined on apical 4-chamber view, subcostal atrial long-axis view, or precordial long-axis view. Left or right coronary dominance was determined depending on whether the PDA originated from the LCX or the RCA [3,4]. Only subjects whose pattern of coronary dominance was confirmed on either 2-dimensional or Doppler echocardiographic evaluation were included in this study. Patients with a balanced CA system were excluded from the analysis, because of the low number of subjects in this group and the difficulty in assessment with echocardiography alone. The coronary indices, aortic valve annulus, and descending aorta were checked examined according to the pattern of coronary dominance. The ratio of the RCA to the LCA in left coronary dominance in the present study was analyzed. The echocardiographic study was done by one cardiologist. The previous studies on CA indices were compared to the present study [4,5]. The Institutional Review Board (IRB) of Chungnam National University Hospital approved this study (2018-10-022). The requirement for informed patient consent was waived by the IRB.
3. Statistical analysis
3. Statistical analysis
Statistical analysis was performed using IBM SPSS Statistics ver. 23.0 (IBM Co., Armonk, NY, USA). All data are presented as means and standard deviations. The CA indices were visualized separately for each pattern of coronary dominance using Sigma plot version 12.0 (Merck KGaA, Darmstadt, Germany). An independent paired t test was performed to compare the CA indices in each coronary dominance pattern, and an unpaired t test was performed to compare the findings of the present study with those of previous studies. Statistical significance was determined at P<0.05.
Results
Results
1. Demographic characteristics of the study group
1. Demographic characteristics of the study group
The mean age of the subjects was 4.02±2.78 years (3 months–13 years), and the sex ratio was 0.86:1 (32 boys and 37 girls). The mean weight was 17.79±7.75 kg (7.8–50 kg), and the mean BSA was 0.70± 0.22 m2 (0.34–1.47 m2). Age, body weight, and BSA were not significantly different between the patterns of coronary dominance (P> 0.05). Of the total number of subjects, 21.7% (15 of 69) were determined to have left coronary dominance and 78.3% (54 of 69) were determined to have right coronary dominance (Table 1).
2. Comparison with previous study findings according to the pattern of coronary dominance
2. Comparison with previous study findings according to the pattern of coronary dominance
A significant difference was found between the study by Tan et al. [5] and the present study in the diameter ratio of the CA to the aortic valve annulus, both in left and right coronary dominance (P<0.05). The ratio of the RCA to the LCA in left coronary dominance in the present study was significantly different from that reported by Choi et al. [4]; however, the corresponding ratio in right coronary dominance was not significantly different between the 2 studies (P>0.05) (Table 2). Choi et al. [4] and Tan et al. [5] did not consider coronary dominance
3. Analysis of CA indices according to the pattern of coronary dominance
3. Analysis of CA indices according to the pattern of coronary dominance
In left coronary dominance, the diameter ratio of the CA to the BSA was 0.509±0.134 in the LCA and 0.246±0.053 in the RCA, whereas the ratio in right coronary dominance was 0.409±0.099 in the LCA and 0.316±0.069 in the RCA, showing significant differences between the LCA and RCA ratios to the BSA in both coronary dominance patterns (P<0.05). Furthermore, the diameter ratios of the CA to the aortic valve annulus and the descending aorta were significantly different in both coronary dominance patterns (P<0.05) (Table 3).
Discussion
Discussion
In the present study, right dominance was present in 78% and left in 22% of the subjects. Significant differences were found in the diametric ratios of CA to aortic valve annulus, BSA, and abdominal aorta according to coronary dominance pattern in early childhood.
Although CAG and CCTA are sometimes performed to obtain clear information about the CA (such as CA anatomy and extent of stenosis, obstruction, or aneurysm), their use in children are limited. Therefore, echocardiography is the primary imaging modality for cardiac assessment because it is noninvasive and has high sensitivity and specificity for the detection of abnormalities of the CA segments [7,8]. To diagnose CALs, the diagnostic criteria of the JCS KD committee proposed in 2013 are used. In the criteria, the presence or absence of CALs is determined on the basis of age-specific absolute values of the CA or the ratio to the caliber of a surrounding artery [2]. Such diagnostic criteria are inadequate in that age grouping is arbitrary, weight and height are not taken into account, and details on the measurement method are lacking. Normalization of the CA dimension for the BSA as z scores (standard deviation units from the mean) based on regression equations allows standardization as a continuous measure and allows comparisons across time and populations [9,10]. However, even if CA caliber values normalized with age or BSA are applied, variations in the RCA and LCA according to coronary dominance can make it difficult to assess CALs. With antegrade-directed CA flow by transthoracic echocardiography, the PDA and the promixal and middle segments of the RCA were entirely seen in 54%, 40%, and 28%, respectively, in adult subjects. Visualization of the complete RCA/PDA was negatively related to patients’ body mass index in regression analyses [11]. Although it is easier to determine coronary dominance with echocardiography in children than in adults, difficulty still exists. In the present study, the authors were able to confirm the origin of the PDA in only about one-half of the sample. Therefore, if echocardiography is performed in children owing to limitations in using CAG and CCTA in clinical practice, indirect assessment of coronary dominance using CA indices is more useful than direct assessment of the precise distribution of the PDA.
The artery that supplies the PDA and a posterolateral branch determines the pattern of coronary dominance. Therefore, 3 situations are possible with normal variation: right dominance (approximately 70%–80% of the cases; supply from the RCA), left dominance (5%–10%; supply from the left circumflex coronary artery), and a balanced CA system (10%–20%) [12-15]. To determine the pattern of coronary dominance in the present study, echocardiographies were performed on most subjects. Additionally, CAG and CCTA were performed on some subjects. Consequently, 22% of the subjects showed left coronary dominance and 78% showed right coronary dominance. The relatively higher proportion of left coronary dominance (22%) in the present study can be explained by the subjects’ developmental stages (i.e., childhood) and the possibility that subjects with a balanced CA system were included in the group with left coronary dominance. The relatively low prevalence of left dominance in the general population and the decreasing prevalence of a left-dominant or balanced-dominance coronary system with age have raised the question of whether left dominance may represent a less well-balanced circulation with more myocardium at risk in acute coronary syndromes [15]. In a recent prospective study of 1,425 adult patients referred for CCTA, nonfatal MI and all-cause mortality were increased (hazard ratio, 3.15) in patients with left dominance during a 2-year follow-up period [16].
The diameter ratio of the LCA to the RCA in patients with left coronary dominance was approximately 1.62, and this finding was similar to that reported by Dodge et al. [17] Hence, if the diameter ratio of the LCA to the RCA is <1.62 on echocardiography, coronary dominance can be inferred to be on the left side, even when the distribution of arteries on the left ventricular posterior wall is not clear [5]. When the results of Tan et al. [5] on the diameter ratio of the CA to the aortic valve annulus were compared with the findings of the current study according to the pattern of coronary dominance, significant differences were found in both right and left dominance. The comparison with the study of Choi et al. [4] showed that in left coronary dominance, the the studies have significant differences in the diameter ratio of the LCA to the RCA. Choi et al. [4] and Tan et al. [5] did not consider coronary dominance, and the comparisons between their results and the current study's findings suggest that the accuracy of CAL diagnosis in children with left coronary dominance may decrease when coronary dominance is not taken into account.
CA indices were significantly different according to the pattern of coronary dominance in the present study. Therefore, to assess CAL abnormality in children, the pattern of coronary dominance should first be determined, and CA indices can be useful in determining the coronary dominance.
It is difficult to determine coronary dominance with echocardiography as accurately as with CAG or CCTA. Owing to the small sample size, data were not analyzed according to sex or age. In conclusion, coronary artery indices showed significant differences according to coronary dominance patterns in early childhood. CA indices can be useful in determining the coronary dominance.
Conflicts of interest

No potential conflict of interest relevant to this article was reported.

Table 1.
Demographic characteristics of the study group
Characteristic Total (n=69) Left dominant pattern (n=15) Right dominant pattern (n=54)
Age (yr) 4.02±2.78 4.01±3.18 4.02±2.69
Sex, male:female 32:37 11:4 21:33
BW (kg) 17.79±7.75 15.74±4.86 18.37±8.34
BSA (m2) 0.70±0.22 0.65±0.17 0.71±0.23

Values are presented as mean±standard deviation or number.

BW, body weight; BSA, body surface area.

P>0.05.

Table 2.
Coronary artery indices according to the dominant coronary arterial pattern: comparison with the studies of Choi et al. [4] and Tan et al. [5]
Variable Left dominant (n=15) Right dominant (n=54) Tan et al. (n=390) Choi et al. (n=83)
LCA/AoA 0.255±0.032 0.216±0.030 0.15±0.02 -
RCA/AoA 0.125±0.028 0.202±0.027 0.13±0.02 -
RCA/LCA 0.495±0.082 0.785±0.118 - 0.790±0.150

Values are presented as mean±standard deviation.

LCA, left coronary artery; RCA, right coronary artery; AoA, aortic annulus; LCA/AoA, left and right dominant vs. Tan et al.; RCA/AoA, left and right dominant vs. Tan et al.; RCA/LCA, left dominant vs. Choi et al.

*Boldface indicates a statistically significant difference with P<0.05.

Table 3.
Difference in the coronary arterial indices according to dominant coronary artery pattern
Pattern Left dominant pattern Right dominant pattern P value
LCA/BSA 0.509±0.134 0.409±0.099 0.002
RCA/BSA 0.246±0.053 0.316±0.069 <0.001
LCA/AoA 0.255±0.032 0.216±0.030 <0.001
RCA/AoA 0.125±0.028 0.202±0.027 <0.001
LCA/dAo 0.358±0.048 0.299±0.041 <0.001
RCA/dAo 0.176±0.033 0.233±0.034 <0.001

Values are presented as mean±standard deviation.

LCA, left coronary artery; RCA, right coronary artery; AoA, aortic annulus; BSA, body surface area; dAo, descending aorta.

Boldface indicates a statistically significant difference with P<0.05.

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