在 COVID-19 中将呼吸频率作为临床恶化的重要标志的快速系统性回顾。

IF 2.9 3区 医学 Q2 RESPIRATORY SYSTEM
Expert Review of Respiratory Medicine Pub Date : 2022-11-01 Epub Date: 2023-01-22 DOI:10.1080/17476348.2023.2169138
John Tredinnick-Rowe, Rehan Symonds
{"title":"在 COVID-19 中将呼吸频率作为临床恶化的重要标志的快速系统性回顾。","authors":"John Tredinnick-Rowe, Rehan Symonds","doi":"10.1080/17476348.2023.2169138","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>This meta-analysis aimed to establish a clinical evidence base for respiratory rate (RR) as a single predictor of early-onset COVID-19. The review also looked to determine the practical implementation of mobile respiratory rate measuring devices where information was available.</p><p><strong>Methods: </strong>We focused on domestic settings with older adults. Relevant studies were identified through MEDLINE, Embase, and CENTRAL databases. A snowballing method was also used. Articles published from the beginning of the COVID-19 pandemic (2019) until Feb 2022 were selected. Databases were searched for terms related to COVID-19 and respiratory rate measurements in domestic patients.</p><p><strong>Results: </strong>A total of 2,889 articles were screened for relevant content, of which 60 full-text publications were included. We compared the Odds Ratios and statistically significant results of both vital signs.</p><p><strong>Conclusion: </strong>Multinational studies across dozens of countries have shown respiratory rate to have predictive accuracy in detecting COVID-19 deterioration. However, considerable variability is present in the data, making it harder to be sure about the effects. There is no meaningful difference in data quality in terms of variability (95% CI intervals) between vital signs as predictors of decline in COVID-19 patients. Contextual and economic factors will likely determine the choice of measurement used.</p>","PeriodicalId":12103,"journal":{"name":"Expert Review of Respiratory Medicine","volume":"16 11-12","pages":"1227-1236"},"PeriodicalIF":2.9000,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Rapid systematic review of respiratory rate as a vital sign of clinical deterioration in COVID-19.\",\"authors\":\"John Tredinnick-Rowe, Rehan Symonds\",\"doi\":\"10.1080/17476348.2023.2169138\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>This meta-analysis aimed to establish a clinical evidence base for respiratory rate (RR) as a single predictor of early-onset COVID-19. The review also looked to determine the practical implementation of mobile respiratory rate measuring devices where information was available.</p><p><strong>Methods: </strong>We focused on domestic settings with older adults. Relevant studies were identified through MEDLINE, Embase, and CENTRAL databases. A snowballing method was also used. Articles published from the beginning of the COVID-19 pandemic (2019) until Feb 2022 were selected. Databases were searched for terms related to COVID-19 and respiratory rate measurements in domestic patients.</p><p><strong>Results: </strong>A total of 2,889 articles were screened for relevant content, of which 60 full-text publications were included. We compared the Odds Ratios and statistically significant results of both vital signs.</p><p><strong>Conclusion: </strong>Multinational studies across dozens of countries have shown respiratory rate to have predictive accuracy in detecting COVID-19 deterioration. However, considerable variability is present in the data, making it harder to be sure about the effects. There is no meaningful difference in data quality in terms of variability (95% CI intervals) between vital signs as predictors of decline in COVID-19 patients. Contextual and economic factors will likely determine the choice of measurement used.</p>\",\"PeriodicalId\":12103,\"journal\":{\"name\":\"Expert Review of Respiratory Medicine\",\"volume\":\"16 11-12\",\"pages\":\"1227-1236\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2022-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Expert Review of Respiratory Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1080/17476348.2023.2169138\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/1/22 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"RESPIRATORY SYSTEM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Expert Review of Respiratory Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/17476348.2023.2169138","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/1/22 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"RESPIRATORY SYSTEM","Score":null,"Total":0}
引用次数: 0

摘要

研究目的这项荟萃分析旨在为呼吸频率(RR)作为早发 COVID-19 的单一预测指标建立临床证据基础。该综述还旨在确定在信息可用的情况下移动呼吸频率测量设备的实际应用情况:方法:我们将重点放在老年人的家庭环境中。我们通过 MEDLINE、Embase 和 CENTRAL 数据库确定了相关研究。我们还采用了 "滚雪球 "的方法。我们选择了从 COVID-19 大流行开始(2019 年)到 2022 年 2 月发表的文章。在数据库中搜索与 COVID-19 和国内患者呼吸频率测量相关的术语:共筛选出 2,889 篇相关文章,其中 60 篇为全文出版物。我们比较了两种生命体征的比值比和统计学意义上的结果:数十个国家的跨国研究表明,呼吸频率在检测 COVID-19 恶化方面具有预测准确性。然而,数据中存在相当大的变异性,因此很难确定其效果。在预测 COVID-19 患者病情恶化方面,生命体征之间的变异性(95% CI 区间)在数据质量上没有明显差异。环境和经济因素可能会决定测量方法的选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rapid systematic review of respiratory rate as a vital sign of clinical deterioration in COVID-19.

Objectives: This meta-analysis aimed to establish a clinical evidence base for respiratory rate (RR) as a single predictor of early-onset COVID-19. The review also looked to determine the practical implementation of mobile respiratory rate measuring devices where information was available.

Methods: We focused on domestic settings with older adults. Relevant studies were identified through MEDLINE, Embase, and CENTRAL databases. A snowballing method was also used. Articles published from the beginning of the COVID-19 pandemic (2019) until Feb 2022 were selected. Databases were searched for terms related to COVID-19 and respiratory rate measurements in domestic patients.

Results: A total of 2,889 articles were screened for relevant content, of which 60 full-text publications were included. We compared the Odds Ratios and statistically significant results of both vital signs.

Conclusion: Multinational studies across dozens of countries have shown respiratory rate to have predictive accuracy in detecting COVID-19 deterioration. However, considerable variability is present in the data, making it harder to be sure about the effects. There is no meaningful difference in data quality in terms of variability (95% CI intervals) between vital signs as predictors of decline in COVID-19 patients. Contextual and economic factors will likely determine the choice of measurement used.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
6.80
自引率
2.60%
发文量
90
期刊介绍: Coverage will include the following key areas: - Prospects for new and emerging therapeutics - Epidemiology of disease - Preventive strategies - All aspects of COPD, from patient self-management to systemic effects of the disease and comorbidities - Improved diagnostic methods, including imaging techniques, biomarkers and physiological tests. - Advances in the treatment of respiratory infections and drug resistance issues - Occupational and environmental factors - Progress in smoking intervention and cessation methods - Disease and treatment issues for defined populations, such as children and the elderly - Respiratory intensive and critical care - Updates on the status and advances of specific disease areas, including asthma, HIV/AIDS-related disease, cystic fibrosis, COPD and sleep-disordered breathing morbidity
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信