Modifications to the National Early Warning Score 2: a Scoping Review.

IF 8.3 1区 医学 Q1 MEDICINE, GENERAL & INTERNAL BMC Medicine Pub Date : 2025-03-11 DOI:10.1186/s12916-025-03943-0
Victoria Riccalton, Lynsey Threlfall, Ananya Ananthakrishnan, Cen Cong, Madison Milne-Ives, Peta Le Roux, Chris Plummer, Edward Meinert
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Abstract

Background: The National Early Warning Score 2 (NEWS2) has been adopted as the standard approach for early detection of deterioration in clinical settings in the UK, and is also used in many non-UK settings. Limitations have been identified, including a reliance on 'normal' physiological parameters without accounting for individual variation.

Objective: This review aimed to map how the NEWS2 has been modified to improve its predictive accuracy while placing minimal additional burden on clinical teams.

Methods: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA-ScR) and the Population, Intervention, Comparator, Outcome, and Study (PICOS) frameworks were followed to structure the review. Six databases (CINAHL, PubMed, Embase, ScienceDirect, Cochrane Library and Web of Science) were searched for studies which reported the predictive accuracy of a modified version of NEWS2. The references were screened based on keywords using EndNote 21. Title, abstract and full-text screening were performed by 2 reviewers independently in Rayyan. Data was extracted into a pre-established form and synthesised in a descriptive analysis.

Results: Twelve studies were included from 12,867 references. In 11 cases, modified versions of NEWS2 demonstrated higher predictive accuracy for at least one outcome. Modifications that incorporated demographic variables, trend data and adjustments to the weighting of the score's components were found to be particularly conducive to enhancing the predictive accuracy of NEWS2.

Conclusions: Three key modifications to NEWS2-incorporating age, nuanced treatment of FiO2 data and trend analysis-have the potential to improve predictive accuracy without adding to clinician burden. Future research should validate these modifications and explore their composite impact to enable substantial improvements to the performance of NEWS2.

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国家预警评分 2 的修改:范围界定审查。
背景:在英国,国家早期预警评分2 (NEWS2)已被采用为临床环境中早期发现恶化的标准方法,也在许多非英国环境中使用。局限性已被确定,包括依赖“正常”生理参数而不考虑个体差异。目的:本综述旨在描述如何修改NEWS2以提高其预测准确性,同时将临床团队的额外负担降至最低。方法:采用系统评价和荟萃分析首选报告项目(PRISMA-ScR)和人群、干预、比较物、结果和研究(PICOS)框架来构建综述。六个数据库(CINAHL, PubMed, Embase, ScienceDirect, Cochrane Library和Web of Science)被搜索,以寻找报道修改版NEWS2预测准确性的研究。使用EndNote 21基于关键词筛选文献。题目、摘要和全文筛选由2名审稿人在Rayyan独立完成。数据被提取成预先建立的形式,并在描述性分析中综合。结果:从12,867篇文献中纳入了12篇研究。在11个病例中,改良版的NEWS2对至少一个结果的预测准确性更高。结合人口统计变量、趋势数据和调整得分成分权重的修改特别有利于提高NEWS2的预测准确性。结论:对news2的三个关键修改(包括年龄、FiO2数据的细致处理和趋势分析)有可能提高预测的准确性,而不会增加临床医生的负担。未来的研究应该验证这些修改,并探索它们的综合影响,以使NEWS2的性能得到实质性的改进。
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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来源期刊
BMC Medicine
BMC Medicine 医学-医学:内科
CiteScore
13.10
自引率
1.10%
发文量
435
审稿时长
4-8 weeks
期刊介绍: BMC Medicine is an open access, transparent peer-reviewed general medical journal. It is the flagship journal of the BMC series and publishes outstanding and influential research in various areas including clinical practice, translational medicine, medical and health advances, public health, global health, policy, and general topics of interest to the biomedical and sociomedical professional communities. In addition to research articles, the journal also publishes stimulating debates, reviews, unique forum articles, and concise tutorials. All articles published in BMC Medicine are included in various databases such as Biological Abstracts, BIOSIS, CAS, Citebase, Current contents, DOAJ, Embase, MEDLINE, PubMed, Science Citation Index Expanded, OAIster, SCImago, Scopus, SOCOLAR, and Zetoc.
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