Department of Pediatrics, Peking University First Hospital, No. 1 Xi'an Men Street, Xicheng District, Beijing, China.
Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Beijing, China.
World J Pediatr. 2020 Dec;16(6):607-613. doi: 10.1007/s12519-020-00348-2. Epub 2020 Mar 30.
We aimed to explore predictive measures for intravenous immunoglobulin (IVIG) resistance in children with Kawasaki disease (KD).
Patients diagnosed with KD were enrolled in this study. Univariate analysis and multiple logistic regression were utilized to analyze the clinical features and laboratory results prior to IVIG-treatment of the two groups. Independent predictors of IVIG resistance were analyzed, and a predictive model for KD children with IVIG resistance was constructed.
A total of 277 children with KD, 180 boys and 97 girls, aged 2-128 (median 23) months, were enrolled in the study. Compared with the IVIG-responsive group, the IVIG-resistant group had higher levels of the peripheral neutrophil count, mean platelet volume, mean platelet volume-to-lymphocyte ratio and C-reactive protein, and total serum bilirubin, but lower levels of peripheral lymphocyte count, serum albumin and serum prealbumin. Age (in months), peripheral neutrophil count, lymphocyte count and mean platelet volume and serum albumin were independent indicators for IVIG resistance by multivariate logistic regression analysis. A logistic regression model and a scoring system were set up, where cut-off values of - 0.46 and 6.5 points yielded sensitivities of 83.9% and 77.4%, and specificities of 74.8% and 61.0%, respectively. The areas under the curve (AUC) were 0.808 in the logistic regression model, and 0.750 in the scoring system.
Our model for predicting IVIG-resistant children with KD, involving age (months), peripheral neutrophil count, lymphocyte count and mean platelet volume and serum albumin prior to IVIG-treatment, is helpful for clinical prediction of children with IVIG-resistant KD.
本研究旨在探讨川崎病(KD)患儿静脉注射免疫球蛋白(IVIG)耐药的预测指标。
纳入 KD 患儿,对两组患儿 IVIG 治疗前的临床特征和实验室结果进行单因素分析和多因素 logistic 回归分析,分析 IVIG 耐药的独立预测因素,构建 KD 患儿 IVIG 耐药的预测模型。
共纳入 277 例 KD 患儿,男 180 例,女 97 例,年龄 2~128(中位数 23)个月。与 IVIG 有效组相比,IVIG 耐药组外周血中性粒细胞计数、血小板平均体积、血小板平均体积与淋巴细胞比值、C 反应蛋白和总胆红素较高,而外周血淋巴细胞计数、血清白蛋白和血清前白蛋白较低。多因素 logistic 回归分析显示,年龄(月)、外周血中性粒细胞计数、淋巴细胞计数和血小板平均体积、血清白蛋白是 IVIG 耐药的独立指标。建立了 logistic 回归模型和评分系统,截断值为-0.46 和 6.5 分,灵敏度分别为 83.9%和 77.4%,特异度分别为 74.8%和 61.0%。logistic 回归模型的曲线下面积(AUC)为 0.808,评分系统的 AUC 为 0.750。
本研究建立的 KD 患儿 IVIG 耐药预测模型,涉及 IVIG 治疗前的年龄(月)、外周血中性粒细胞计数、淋巴细胞计数和血小板平均体积、血清白蛋白,有助于临床预测 IVIG 耐药的 KD 患儿。