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Identification of clinical risk factors for coronary artery lesions in children with Kawasaki disease: a retrospective cohort study

Published online by Cambridge University Press:  05 November 2024

Xiangna Yang
Affiliation:
Department of Pediatric Traditional Chinese Medicine Clinic, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangdong, China
Jiayi Zou
Affiliation:
The First School of Clinical Medicine, Guangzhou University of Chinese Medicine, Guangzhou, China
Hao Nie
Affiliation:
The Second School of Clinical Medicine, Guangzhou University of Chinese Medicine, Guangzhou, China
Gang Zhang
Affiliation:
Department of Pediatric Traditional Chinese Medicine Clinic, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangdong, China
Yin Liao
Affiliation:
College of Pediatrics, Guangzhou Medical University, Guangzhou, China
Jian Deng*
Affiliation:
Department of Pediatric Traditional Chinese Medicine Clinic, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangdong, China
Yanfei Wang*
Affiliation:
Department of Pediatric Cardiology, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China
*
Corresponding authors: Jian Deng; Email: dengjian512@21cn.com; Yanfei Wang; Email: wangyanfei19831983@126.com
Corresponding authors: Jian Deng; Email: dengjian512@21cn.com; Yanfei Wang; Email: wangyanfei19831983@126.com
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Abstract

Background:

Coronary artery lesions are the most severe complications of Kawasaki disease. Despite recent advances, evidence of the association between risk factors and coronary artery lesion is lacking. In this study, we demonstrated the potential clinical indicators that could assist to evaluate the prevalence of coronary artery lesion among paediatric patients with Kawasaki disease.

Methods:

We retrospectively enrolled 260 paediatric patients with Kawasaki disease. Patients with coronary dilation, coronary aneurysm, and intimal thickening of coronary arteries were included in this study. Medical records of each patient were collected. Logistic regression analysis was performed to explore risk factors and the occurrence of coronary artery lesion in patients with Kawasaki disease.

Results:

Respectively, 64 (24.6%), 39 (15%), and 56 patients (21.5%) of the participants had coronary dilation, coronary aneurysm, and intimal thickening of coronary arteries. Univariate analysis revealed that age, gender, duration of fever, time of initial use of intravenous immunoglobulin, erythrocyte sedimentation rate, white blood cell counts, time of platelet increase, the maximum value of platelet, albumin, and immunoglobulin G level was associated with coronary artery lesion. In multivariable logistic analysis, those younger and mainly males were associated with all three outcomes of coronary artery lesion, lower serum albumin levels, and later initial use of intravenous immunoglobulin were linked to a higher risk of coronary dilation and coronary aneurysm.

Conclusions:

The potential risk factors that could be used to estimate the occurrence of coronary artery lesion in Kawasaki disease patients are young age, male, lower serum albumin lever, and later initial use of intravenous immunoglobulin. However, long-term follow-up and multi-centre studies are required to verify our findings in the future.

Information

Type
Original Article
Copyright
© The Author(s), 2024. Published by Cambridge University Press
Figure 0

Table 1. Description of general characteristics

Figure 1

Figure 1. Disease progression for patients who had CA or CD (median, lower, and upper quartiles). CA = coronary aneurysm; CD = coronary dilation; IVIG = intravenous immunoglobulin.

Figure 2

Figure 2. Overlapping of coronary artery lesions. CA = coronary aneurysm; CAL = coronary artery lesion; CD = coronary dilation; IT = intimal thickening of coronary arteries.

Figure 3

Table 2. Description of coronary artery lesion

Figure 4

Table 3. Comparison of clinical biomarkers between participants with and without CAL

Figure 5

Table 4. Result from multi-variable logistic regression

Figure 6

Table 5. Result from sensitivity analysis