小儿阑尾炎的手术和非手术治疗:算法能帮助我们预测穿孔吗?

Q4 Multidisciplinary
A. Eņģelis, M. Kakar, A. Zviedre, P. Laizāns, Timurs Zurmutai, J. Bormotovs, A. Petersons
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引用次数: 0

摘要

摘要近年来对非手术治疗抗生素治疗的兴趣和证据导致了急性无并发症阑尾炎(AnA)和急性并发症阑尾炎(AcA)在急诊科出现时的反复区分问题。为了创建急性阑尾炎(AA)诊断和治疗算法的初始版本,我们分析了2010年至2013年期间在r ? ga儿童临床大学医院治疗的178名AnA和AcA儿童的治疗结果。该算法的开发包括对临床症状、实验室和放射检查结果的评估。该算法于2016年创建,并被医院管理层接受。我们给出了2020年算法的更新版本。诊断评分和算法的引入规范和提高了儿科AA的诊断。新的诊断测试具有更高的灵敏度和特异性,可以提高诊断算法的准确性。同时测量多种有效的生物标志物可以提高诊断算法的准确性,并预测儿科AA的严重程度。机器学习算法可能能够处理大量数据并提供更快的结论,帮助外科医生在诊断儿童阑尾炎时做出正确的决定,并防止不必要的手术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Surgical and non-surgical treatment of paediatric appendicitis: can algorithms help us to predict perforation?
Abstract The recent interest in and evidence of non-surgical treatment with antibiotic therapy has led to the recurring issue of differentiating acute no-complicated appendicitis (AnA) and acute complicated appendicitis (AcA) when these are presented in an emergency department. To create the initial version of an acute appendicitis (AA) diagnostic and treatment algorithm, we analysed treatment results of 178 children with AnA and AcA treated at the Children’s Clinical University Hospital in Rīga, in the period between 2010 and 2013. Evaluation of the clinical symptoms, laboratory and radiological findings was included in development of the algorithm. The algorithm was created in 2016 and accepted by the hospital administration. We present the algorithm’s updated version of 2020. The introduction of diagnostic scores and algorithms has standardised and improved the diagnosis of paediatric AA. New diagnostic tests with higher sensitivity and specificity may improve the accuracy of diagnostic algorithms. Measuring multiple effective biomarkers simultaneously may improve the accuracy of diagnostic algorithms and predict the severity of paediatric AA. Machine learning algorithms may be able to process a much larger amount of data and provide a faster conclusion, helping the surgeon make the right decision in diagnosing appendicitis in children and prevent unnecessary surgery.
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来源期刊
CiteScore
0.70
自引率
0.00%
发文量
61
审稿时长
20 weeks
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