用常规实验室参数预测儿童免疫球蛋白A血管炎严重的肾脏和胃肠道损害。

Dermatology (Basel, Switzerland) Pub Date : 2022-01-01 Epub Date: 2021-11-08 DOI:10.1159/000519665
Zexing Song, Yingli Nie, Liu Yang, Juan Tao
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引用次数: 0

摘要

背景:免疫球蛋白A血管炎(IgAV)是儿童最常见的血管炎。虽然儿童IgAV通常被认为是一种自限性疾病,但在某些情况下,病程进展和预后不良,主要是由于严重的肾脏和胃肠道(GI)受累。方法:我们对2016年至2019年在我院诊断为IgAV的儿科患者进行回顾性研究。根据胃肠道和肾脏受累的发生和严重程度将患者分为两组。实验参数组间比较采用方差分析(ANOVA)和Kruskal-Wallis检验,预测模型采用logistic回归分析。结果:共纳入286例患者。148例(51.7%)患者发生胃肠道受累,其中30例(20.3%)为重症。120例(42.0%)患者发生肾脏受累,其中22例(18.3%)为重症病例。与仅有皮肤表现的患者相比,胃肠道受累患者的白细胞(WBC)计数、中性粒细胞与淋巴细胞比值(NLR)和d -二聚体水平均较高,且d -二聚体水平与严重程度呈正相关。肾受累患者NLR升高,补体3 (C3)降低,但仅C3与区分中重度相关。严重肾脏受累的预测模型为:Logit (P) = 6.820 + 0.270(年龄)+ 0.508 (NLR) - 16.130 (C3), AUC为0.914。严重GI受损伤的预测模型为:Logit (P) = -5.459 + 0.005 (WBC) + 1.355 (d -二聚体)- 0.020 (NLR), AUC为0.849。结论:我们的数据表明C3是严重肾脏受累的唯一预测因子,d -二聚体水平与GI受累的严重程度呈正相关。建立由上述参数组成的预测模型,获取IgAV早期的预后信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predicting Severe Renal and Gastrointestinal Involvement in Childhood Immunoglobulin A Vasculitis with Routine Laboratory Parameters.

Background: Immunoglobulin A vasculitis (IgAV) is the most common vasculitis in children. Although childhood IgAV is generally considered as a self-limited disease, progressive course and poor prognosis could occur in some cases which mostly result from severe renal involvement and gastrointestinal (GI) involvement.

Methods: We performed a retrospective study of pediatric patients diagnosed as IgAV in our institution from 2016 to 2019. Patients were divided into groups based on the occurrence and severity of GI and renal involvement. Analysis of variance (ANOVA) and Kruskal-Wallis test were used to compare results of laboratory parameters among groups and prediction models were built by using logistic regression analysis.

Results: A total of 286 patients were enrolled. GI involvement occurred in 148 (51.7%) patients, 30 (20.3%) of which were severe cases. Renal involvement developed in 120 (42.0%) patients, 22 (18.3%) of which were severe cases. Compared with patients with only cutaneous manifestations, white blood cell (WBC) count, neutrophil-to-lymphocyte ratio (NLR), and D-dimer levels were higher in those with GI involvement, and D-dimer level was found to be positively associated with severity. Increased NLR and lower complement 3 (C3) were found in patients with renal involvement, but only C3 was relevant in distinguishing moderate and severe cases. The prediction model for severe renal involvement was: Logit (P) = 6.820 + 0.270 (age) + 0.508 (NLR) - 16.130 (C3), with an AUC of 0.914. The prediction model for severe GI involvement was: Logit (P) = -5.459 + 0.005 (WBC) + 1.355 (D-dimer) - 0.020 (NLR), with an AUC of 0.849.

Conclusion: Our data suggest C3 to be an exclusive predictor for severe renal involvement and D-dimer level to be positively associated with the severity of GI involvement. Prediction models consisting of the above parameters were built for obtaining prognostic information in the early phase of IgAV.

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