Singh Jasdip, Chang Arthur, Fusco Nicholas M, Hicar Mark
Department of Pharmacy Practice (JS, NF), University at Buffalo School of Pharmacy and Pharmaceutical Sciences, Buffalo, NY.
Department of Pediatrics (AC, MH), University at Buffalo Jacobs School of Medicine and Biomedical Sciences, Buffalo, NY.
J Pediatr Pharmacol Ther. 2022;27(7):669-676. doi: 10.5863/1551-6776-27.7.669. Epub 2022 Sep 26.
The Kobayashi score (KS) is the most widely used tool for predicting intravenous immunoglobulin (IVIG) resistance in Kawasaki disease (KD). The KS has shown good sensitivity (86%) and specificity (68%) in Japanese children; however, its use is limited outside of Japan. No models accurately predict IVIG resistance of children with KD in the United States. We sought to develop and test a novel scoring system to predict IVIG resistance in hospitalized children with KD.
A retrospective chart review was conducted of all children diagnosed with KD from January 2000 to December 2015. Subjects were divided into 2 groups: IVIG susceptible or resistant. Variables that differed between the groups were identified and used to create a "new score" to predict resistance to IVIG. The new score was then compared with the KS and performance characteristics were determined.
A total of 208 subjects were reviewed. White blood cell count, neutrophil percentage, age, and serum albumin were used in the new score with equal weighting. Overall, the new score achieved improved sensitivity (54% vs 26%) and similar specificity (69% vs 74%) compared with the KS in predicting IVIG resistance in hospitalized children diagnosed with KD.
Predicting IVIG resistance in children diagnosed with KD remains challenging. The KS has low sensitivity in predicting IVIG resistance in children with KD in the United States. The new score resulted in improved sensitivity, but many children with true IVIG resistance may be missed. Further research is needed to improve IVIG resistance prediction.
小林评分(KS)是预测川崎病(KD)静脉注射免疫球蛋白(IVIG)抵抗最广泛使用的工具。KS在日本儿童中显示出良好的敏感性(86%)和特异性(68%);然而,其应用在日本以外地区受到限制。在美国,尚无模型能准确预测KD患儿的IVIG抵抗情况。我们试图开发并测试一种新的评分系统,以预测住院KD患儿的IVIG抵抗情况。
对2000年1月至2015年12月期间所有诊断为KD的儿童进行回顾性病历审查。将受试者分为两组:IVIG敏感或抵抗组。确定两组之间存在差异的变量,并用于创建一个“新评分”来预测对IVIG的抵抗。然后将新评分与KS进行比较,并确定其性能特征。
共审查了208名受试者。新评分中使用了白细胞计数、中性粒细胞百分比、年龄和血清白蛋白,权重相等。总体而言,在预测住院KD患儿的IVIG抵抗方面,与KS相比,新评分的敏感性有所提高(54%对26%),特异性相似(69%对74%)。
预测诊断为KD的儿童的IVIG抵抗仍然具有挑战性。KS在美国KD患儿中预测IVIG抵抗的敏感性较低。新评分提高了敏感性,但可能会遗漏许多真正存在IVIG抵抗的儿童。需要进一步研究以改善IVIG抵抗的预测。