{"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":null,"pages":null},"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}
引用次数: 0
Abstract
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.
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