Studying Genes Related to the Survival Rate of Pediatric Septic Shock

Rana Hossam Elden, V. F. Ghoneim, Marwa M. A. Hadhoud, W. Al-Atabany
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引用次数: 0

Abstract

Pediatric septic shock is generally considered as a devastating clinical syndrome that can lead to tissue damage and organ failure due to the over exaggerated immune response to an infection. Therefore, in this paper, we attempted to early identify the clinical course of such disease with the aid of peripheral blood T-cells of 181 pediatric patients who admitted to Intensive Care Unit (ICU), Accordingly, 34 differential expressed genes have been identified as biological genetic biomarkers. Minimum redundancy and maximum relevance feature selection strategy has been proposed for the discovery of topmost 8 discriminant novel genes for validating its discriminatory performance in differentiating between pediatric septic shock survivors and non-survivor categories. Random forest (RF) with 100 trees has been optimized using 20 runs of 5-fold cross validation, the area under the curve was 0.9430 that confirm our proposed model may improve risk stratification and mortality prediction in pediatric patients with septic shock.
儿童感染性休克存活率相关基因的研究
小儿感染性休克通常被认为是一种毁灭性的临床综合征,由于对感染的过度免疫反应,可导致组织损伤和器官衰竭。因此,在本文中,我们试图借助181例重症监护室(ICU)儿科患者的外周血t细胞来早期识别该疾病的临床病程,因此,34个差异表达基因已被确定为生物遗传生物标志物。提出了最小冗余和最大相关特征选择策略,用于发现最重要的8个鉴别性新基因,以验证其在区分儿童感染性休克幸存者和非幸存者类别方面的区别性能。采用20组5重交叉验证对100棵树的随机森林(Random forest, RF)进行优化,曲线下面积为0.9430,证实我们提出的模型可以改善儿童感染性休克患者的风险分层和死亡率预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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