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基于 sIL-2R 的新型评分系统预测中国 KD 患儿 IVIG 抵抗。

A novel scoring system based on sIL-2R for predicting IVIG resistance in Chinese children with KD.

机构信息

Department of Pharmacy, Children's Hospital of Nanjing Medical University, Nanjing, China.

Department of Cardiology, Children's Hospital of Nanjing Medical University, Nanjing, China.

出版信息

Pediatr Rheumatol Online J. 2024 Aug 18;22(1):76. doi: 10.1186/s12969-024-01015-w.

Abstract

OBJECTIVE

This study aimed to develop a novel scoring system utilizing circulating interleukin (IL) levels to predict resistance to intravenous immunoglobulin (IVIG) in Chinese patients with Kawasaki disease (KD). We further compared this scoring system against six previously established scoring methods to evaluate its predictive performance.

METHODS

A retrospective analysis was conducted on KD patients who were treated at the cardiovascular medical ward of our institution from January 2020 to December 2022. Six scoring systems (Egami, Formosa, Harada, Kobayashi, Lan and Yang) were analyzed, and a new scoring system was developed based on our data.

RESULTS

In our study, 521 KD patients were recruited, 42 of whom (8.06%) were identified as resistant to IVIG. Our study indicated that IVIG-resistant KD patients were at an increased risk for the development of coronary arterial lesions (CALs) (P = 0.001). The evaluation of IVIG resistance using various scoring systems revealed differing levels of sensitivity and specificity, as follows: Egami (38.10% and 88.52%), Formosa (95.24% and 41.13%), Harada (78.57% and 43.22%), Kobayashi (66.67% and 74.95%), Lan (66.67% and 73.49%), and Yang (69.05% and 77.24%). Our novel scoring system utilizing sIL-2R demonstrated the highest sensitivity and specificity of 69.29% and 83.91%, respectively, and calibration curves indicated a favorable predictive accuracy of the model.

CONCLUSION

Our newly developed scoring system utilizing sIL-2R demonstrated superior predictive performance in identifying IVIG resistance among Chinese patients with KD.

摘要

目的

本研究旨在开发一种新的评分系统,利用循环白细胞介素(IL)水平预测中国川崎病(KD)患者对静脉注射免疫球蛋白(IVIG)的耐药性。我们进一步将该评分系统与之前建立的六种评分方法进行比较,以评估其预测性能。

方法

对 2020 年 1 月至 2022 年 12 月在我院心血管内科病房治疗的 KD 患者进行回顾性分析。分析了六种评分系统(Egami、Formosa、Harada、Kobayashi、Lan 和 Yang),并根据我们的数据开发了一种新的评分系统。

结果

本研究共纳入 521 例 KD 患者,其中 42 例(8.06%)对 IVIG 耐药。我们的研究表明,IVIG 耐药性 KD 患者发生冠状动脉瘤(CAL)的风险增加(P=0.001)。使用各种评分系统评估 IVIG 耐药性的敏感性和特异性不同,如下所示:Egami(38.10%和 88.52%)、Formosa(95.24%和 41.13%)、Harada(78.57%和 43.22%)、Kobayashi(66.67%和 74.95%)、Lan(66.67%和 73.49%)和 Yang(69.05%和 77.24%)。我们新的利用 sIL-2R 的评分系统显示出最高的敏感性和特异性,分别为 69.29%和 83.91%,校准曲线表明该模型具有良好的预测准确性。

结论

我们新开发的利用 sIL-2R 的评分系统在识别中国 KD 患者对 IVIG 的耐药性方面表现出优异的预测性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da99/11330593/98433dcd78f5/12969_2024_1015_Fig1_HTML.jpg

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