Predictors of frequent relapsing and steroid-dependent nephrotic syndrome in children

儿童频繁复发和激素依赖性肾病综合征的预测因素

阅读:1

Abstract

AIM: To determine the predictors of frequent relapses and steroid dependency in children with steroid-sensitive nephrotic syndrome. MATERIAL AND METHODS: All children aged six months to 18 years with steroid-sensitive nephrotic syndrome registered in the nephrology clinic between 2003 and 2015 at a tertiary center who were followed up for at least 1year after onset were included in the study. RESULTS: Two hundred seventy-seven patients with steroid-sensitive nephrotic syndrome who were followed up for at least 1 year from onset of disease were included. There were 157 infrequent relapsers and 120 frequent relapsers (frequent relapses and or steroid-dependent). Compared with infrequent relapsers, frequent relapsers had a significantly lower age at onset (51.53±40.42 vs. 61.97±40.66 months; p=0.035), lesser time for first relapse (time from the start of initial treatment to first relapse (8.65±11.99 vs. 23.46±24.05 months; p<0.001) and a higher number of relapses with infection (8.65±11.99 vs. 1.25±1.85; p<0.001). On multivariate logistic regression analysis, time for first relapse less than six months [OR: 3.93; 95% CI: (1.97-7.82)] and concomitant infection during relapses [OR: 1.82; 95% CI:(1.56-2.14)] were significant predictors of frequent relapses, and males were less likely to become frequent relapsers [OR: 0.48; 95% CI:(0.24-0.93)]. Kaplan-Meier analysis and the log-rank test also showed that a first relapse within six months was associated with frequent relapses. Age at onset and inadequate steroid therapy at onset did not determine frequent relapses. CONCLUSION: Shorter time for first relapse and concomitant infection during relapses can predict future frequent relapses. These predictors may be useful to counsel patients, to follow them up more closely, and to develop better treatment protocols and relapse-specific interventions.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。