Clinical application of the neonatal early-onset sepsis risk assessment calculator

Tingyu Li, Tianyi Liu, Lujuan Li, Yang Liu, Qi Zhang, Zhong Li
{"title":"Clinical application of the neonatal early-onset sepsis risk assessment calculator","authors":"Tingyu Li,&nbsp;Tianyi Liu,&nbsp;Lujuan Li,&nbsp;Yang Liu,&nbsp;Qi Zhang,&nbsp;Zhong Li","doi":"10.1016/j.ipha.2023.04.015","DOIUrl":null,"url":null,"abstract":"<div><p>Neonatal sepsis is divided into early-onset sepsis (EOS) and late-onset sepsis (LOS). The European neonatal detection network reported in 2011 that EOS has a high mortality rate of 26.3%, almost double that of LOS (13.3%). EOS sometimes lacks specific symptoms, which makes early diagnosis difficult and leads to extensive empirical antibiotic therapy with potential hazards and both immediate and long-term adverse outcomes. The Neonatal EOS Risk Calculator is an assessment model proposed in recent years to quantify the risk of EOS in newborns based on a range of high-risk factors in the perinatal period. This model has attracted widespread attention in some developed countries and has been applied in retrospective and prospective clinical studies, suggesting new strategies to address the appropriate use of antibiotics in neonates. This article reviews the clinical application and research progress of the Neonatal EOS Risk Calculator.</p></div>","PeriodicalId":100682,"journal":{"name":"Intelligent Pharmacy","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Intelligent Pharmacy","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2949866X23000151","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Neonatal sepsis is divided into early-onset sepsis (EOS) and late-onset sepsis (LOS). The European neonatal detection network reported in 2011 that EOS has a high mortality rate of 26.3%, almost double that of LOS (13.3%). EOS sometimes lacks specific symptoms, which makes early diagnosis difficult and leads to extensive empirical antibiotic therapy with potential hazards and both immediate and long-term adverse outcomes. The Neonatal EOS Risk Calculator is an assessment model proposed in recent years to quantify the risk of EOS in newborns based on a range of high-risk factors in the perinatal period. This model has attracted widespread attention in some developed countries and has been applied in retrospective and prospective clinical studies, suggesting new strategies to address the appropriate use of antibiotics in neonates. This article reviews the clinical application and research progress of the Neonatal EOS Risk Calculator.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
新生儿早发性败血症风险评估计算器的临床应用
新生儿败血症分为早发性败血症和晚发性败血症。欧洲新生儿检测网络在2011年报告称,EOS的死亡率高达26.3%,几乎是LOS(13.3%)的两倍。EOS有时缺乏特定症状,这使得早期诊断变得困难,并导致广泛的经验性抗生素治疗,具有潜在的危险和直接和长期的不良后果。新生儿EOS风险计算器是近年来提出的一种评估模型,用于根据围产期的一系列高危因素量化新生儿EOS的风险。该模型在一些发达国家引起了广泛关注,并已应用于回顾性和前瞻性临床研究,为解决新生儿适当使用抗生素提出了新的策略。本文综述了新生儿EOS风险计算器的临床应用和研究进展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Editorial Board In-silico design of novel 2-((4-chloro-6-methoxy-1H-indol-3-yl)thio)-N-(2-ethoxyphenyl)acetamide derivatives as potential inhibitors of influenza neuraminidase protein receptor Nutritional composition, antioxidant properties, and molecular docking strategy of muricidae operculum (Chicoreus ramosus) Rosmarinic acid: Potential antiviral agent against dengue virus - In silico evaluation Unveiling the intricacies of phytate antinutrients in millets and their therapeutic implications in breast cancer
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1