基线血清IgG/IgE比值在儿童IgA血管炎肾损伤风险预测模型构建中的增益价值

Incremental value of the baseline serum IgG/IgE ratio in developing a risk prediction model for renal injury in children with IgA vasculitis

  • 摘要:
    目的  探讨基线血清免疫球蛋白G(IgG)/免疫球蛋白E(IgE)比值对儿童IgA血管炎(IgAV)肾损伤风险的预测价值,并评价其在构建预测模型中的增益情况。
    方法  本研究为回顾性队列研究,选取北京安贞医院南充医院•南充市中心医院2022年1月至2024年8月198例IgAV患儿作为研究对象,根据1年内是否发生肾损伤分为肾损伤组与非肾损伤组,比较2组基线资料、血清IgG、IgE、IgG/IgE比值,采用Lasso及Logistic回归分析儿童IgAV肾损伤风险的影响因素,受试者操作特征(ROC)曲线分析基线血清IgG/IgE比值在儿童IgAV肾损伤风险中的预测价值。
    结果  IgAV患儿1年内肾损伤发生率为27.27%(54/198)。肾损伤组消化道出血比例、皮疹持续时间、白细胞计数(WBC)、血小板计数(PLT)、C反应蛋白(CRP)、D-二聚体(D-D)水平高于非肾损伤组(均P < 0.05);肾损伤组基线血清IgG、IgG/IgE比值低于非肾损伤组,IgE高于非肾损伤组(均P < 0.05)。Lasso回归筛选出5个非零系数的核心变量:消化道出血、皮疹持续时间、CRP、D-D、IgG/IgE比值。Logistic回归模型1显示,血清IgG/IgE比值是儿童IgAV肾损伤的影响因素(均P < 0.05);Logistic回归模型2显示,消化道出血、皮疹持续时间、CRP、D-D是儿童IgAV肾损伤的影响因素(均P < 0.05);Logistic回归模型3显示,消化道出血、皮疹持续时间、CRP、D-D、IgG/IgE比值是儿童IgAV肾损伤的影响因素(均P < 0.05)。ROC曲线分析显示,模型1与模型2预测儿童IgAV肾损伤风险的AUC接近(0.809 vs.0.833,Z=0.534,P=0.594);模型3的AUC为0.907,高于模型1、模型2(Z=2.305、2.018,P=0.021、0.044)。校准曲线显示,3个模型预测儿童IgAV肾损伤风险的结果与临床实际的一致性较高,校准度良好(H-L检验χ2=6.235、7.891、5.124,P=0.620、0.485、0.745)。内部验证显示,3个模型的乐观校正AUC分别为0.792(95%CI 0.724 ~ 0.855)、0.815(95%CI 0.751 ~ 0.878)和0.886(95%CI 0.835 ~ 0.937),与原始AUC接近,模型过拟合程度低,区分度稳定。
    结论  基线血清IgG/IgE比值是儿童IgAV肾损伤的影响因素,具有中等偏上的预测能力,联合消化道出血、皮疹持续时间、CRP、D-D能显著提高预测价值,可作为早期识别候选指标。

     

    Abstract:
    Objective  To investigate the predictive value of the baseline serum immunoglobulin G (IgG)/immunoglobulin E (IgE) ratio for the risk of renal injury in children with IgA vasculitis (IgAV) and to evaluate its incremental value in the development of a prediction model.
    Methods This retrospective cohort study included 198 children with IgAV treated at Beijing Anzhen Nanchong Hospital of Capital Medical University & Nanchong Central Hospital, from January 2022 to August 2024. According to whether renal injury occurred within one year, the patients were divided into a renal injury group and a non-renal injury group. Baseline characteristics, serum IgG and IgE levels, and the IgG/IgE ratio were compared between the two groups. Least absolute shrinkage and selection operator (LASSO) and Logistic regression was used to analyze factors associated with the risk of renal injury in children with IgAV. Receiver operating characteristic (ROC) curve analysis was performed to assess the predictive value of the baseline serum IgG/IgE ratio for renal injury risk in children with IgAV.
    Results The incidence of renal injury within one year among children with IgAV was 27.27% (54/198). The proportion of patients with gastrointestinal bleeding, rash duration, white blood cell count (WBC), platelet count (PLT), C-reactive protein (CRP) level, and D-dimer (D-D) level were higher in the renal injury group than in the non-renal injury group (all P<0.05). Baseline serum IgG levels and the IgG/IgE ratio were lower, whereas IgE levels were higher, in the renal injury group than in the non-renal injury group (all P<0.05). LASSO regression identified five core variables with nonzero coefficients: gastrointestinal bleeding, rash duration, CRP, D-D, and the IgG/IgE ratio. Logistic regression model 1 showed that the serum IgG/IgE ratio was a factor influencing the risk of renal injury in children with IgAV (P<0.05). Logistic regression model 2 showed that gastrointestinal bleeding, rash duration, CRP, and D-D were factors influencing the risk of renal injury in children with IgAV (all P<0.05). Logistic regression model 3 showed that gastrointestinal bleeding, rash duration, CRP, D-D, and the IgG/IgE ratio were factors influencing the risk of renal injury in children with IgAV (all P<0.05). ROC curve analysis showed that the areas under the curve (AUCs) of models 1 and 2 for predicting the risk of renal injury in children with IgAV were similar (0.809 vs. 0.833, Z=0.534, P=0.594). The AUC of model 3 was 0.907, which was higher than those of models 1 and 2 (Z=2.305 and 2.018; P=0.021 and 0.044, respectively). Calibration curves showed a high degree of agreement between the predicted risks of renal injury in children with IgAV and the actual clinical outcomes for all three models, indicating good calibration (Hosmer-Lemeshow H-L test: χ2=6.235, 7.891, and 5.124; P=0.620, 0.485, and 0.745, respectively). Internal validation showed that the optimism-corrected AUCs of the three models were 0.792 (95% CI 0.724-0.855), 0.815 (95% CI 0.751-0.878), and 0.886 (95% CI 0.835-0.937), respectively. These values were close to the original AUCs, indicating a low degree of model overfitting and stable discriminative performance.
    Conclusions The baseline serum IgG/IgE ratio is a factor influencing the risk of renal injury in children with IgAV and has moderate-to-good independent predictive ability. When combined with gastrointestinal bleeding, rash duration, CRP, and D-D, it significantly improves predictive value and may serve as a candidate indicator for early identification.

     

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