Evaluating the performance of egami, kobayashi and sano scores in predicting IVIG resistance in infant kawasaki disease.

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Young Tae Lim, Jung Eun Kwon, Yeo Hyang Kim
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Abstract

Background: This study aimed to evaluate the effectiveness of Egami, Kobayashi and Sano scores in predicting intravenous immunoglobulin (IVIG) resistance in infant Kawasaki disease (KD), considering its unique clinical presentation.

Methods: We retrospectively analysed 143 infants aged < 12 months and diagnosed with KD at a single centre from 2019 to 2023. Patients were divided into IVIG-resistant and IVIG-responsive groups. Demographic, clinical and laboratory data were compared between the groups. The diagnostic performance of Egami, Kobayashi and Sano scores in predicting IVIG resistance was evaluated using sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and area under the receiver operating characteristic curve (AUC). Additionally, we developed a new scoring system based on significant predictors identified in our cohort.

Results: Among 143 infants, 45 (31.5%) showed IVIG resistance. The IVIG-resistant group had a significantly higher rate of coronary artery lesions (15.6% vs. 5.1%, p = 0.036). Incomplete KD was observed in 61.5% of cases. Egami, Kobayashi and Sano scores exhibited low sensitivity (35.6%, 55.6% and 20%, respectively) and moderate specificity (77.6%, 63.3% and 95.9%, respectively) in predicting IVIG resistance. The AUC ranged from 0.583 to 0.674, indicating poor to fair discriminative ability. Our newly developed scoring system, based on total bilirubin and albumin levels, showed similar performance (AUC 0.633) to existing scores.

Conclusions: Existing Japanese risk scoring systems and our newly developed score showed limited effectiveness in predicting IVIG resistance in infant KD. The high proportion of incomplete presentation and IVIG resistance in infants highlights the need for age-specific risk assessment and management. Further research is necessary to develop more sophisticated, dedicated prediction model for IVIG resistance in infants with KD.

评估 Egami、Kobayashi 和 Sano 评分在预测婴儿川崎病 IVIG 抗药性方面的性能。
背景:考虑到川崎病(KD)的独特临床表现,本研究旨在评估Egami、Kobayashi和Sano评分在预测婴儿川崎病(KD)静脉注射免疫球蛋白(IVIG)耐药性方面的有效性:方法:我们回顾性分析了 143 名年龄为 143 岁的婴儿:在 143 名婴儿中,45 名(31.5%)出现了 IVIG 耐药性。IVIG耐药组的冠状动脉病变率明显更高(15.6% 对 5.1%,P = 0.036)。61.5%的病例出现不完全KD。在预测 IVIG 耐药方面,Egami、Kobayashi 和 Sano 评分的敏感性较低(分别为 35.6%、55.6% 和 20%),特异性适中(分别为 77.6%、63.3% 和 95.9%)。AUC从0.583到0.674不等,表明判别能力从较差到一般。我们新开发的基于总胆红素和白蛋白水平的评分系统与现有评分系统表现相似(AUC 0.633):结论:现有的日本风险评分系统和我们新开发的评分系统在预测婴儿 KD 的 IVIG 耐药性方面效果有限。婴儿中不完全表现和 IVIG 耐药的比例较高,这突出表明需要针对特定年龄进行风险评估和管理。有必要开展进一步研究,以开发更复杂、更专用的 KD 婴儿 IVIG 耐药预测模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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