Novel point-of-care biomarker combination tests to differentiate acute bacterial from viral respiratory tract infections to guide antibiotic prescribing: a systematic review

被引:20
|
作者
Carlton, Henry C. [1 ]
Savovic, Jelena [1 ,2 ,3 ]
Dawson, Sarah [1 ,2 ,3 ]
Mitchelmore, Philip J. [4 ,5 ]
Elwenspoek, Martha M. C. [1 ,2 ,3 ]
机构
[1] Univ Bristol, Bristol Med Sch, Populat Hlth Sci, Bristol, Avon, England
[2] Univ Hosp Bristol, Natl Inst Hlth Res Appl Res Collaborat West NIHR, Bristol, Avon, England
[3] Weston NHS Fdn Trust, Bristol, Avon, England
[4] Royal Devon & Exeter Hosp, Dept Resp Med, Exeter, Devon, England
[5] Univ Exeter, Med Sch, Inst Biomed & Clin Sci, Exeter, Devon, England
关键词
Antimicrobial resistance; Diagnostic accuracy; Point-of-care testing; Respiratory tract infections; Systematic review; COMMUNITY-ACQUIRED PNEUMONIA; C-REACTIVE PROTEIN; MULTIPLEX PCR; RESISTANCE; CHILDREN; OUTCOMES; METAANALYSIS; INFLUENZA; DIAGNOSIS; ACCURACY;
D O I
10.1016/j.cmi.2021.05.018
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
Background: Acute respiratory tract infections (RTIs) are the most common reason to seek medical care, with many patients receiving inappropriate antibiotics. Novel testing approaches to identify aetiology at the point-of-care are required to accurately guide antibiotic treatment. Objective: To assess the diagnostic accuracy of biomarker combinations to rapidly differentiate between acute bacterial or viral RTI aetiology. Data sources: MEDLINE, Embase and Web of Science databases were searched to February 2021. Study eligibility criteria: Diagnostic accuracy studies comparing accuracy of point-of-care and rapid diagnostic tests in primary or secondary care, consisting of biomarker combinations, to identify bacterial or viral aetiology of RTI. Methods: Risk of bias was assessed using the QUADAS-2 tool. Sensitivity and specificity of tests reported by more than one study were meta-analysed using a random effects model. Results: Twenty observational studies (3514 patients) were identified. Eighteen were judged at high risk of bias. For bacterial aetiologies, sensitivity ranged from 61% to 100% and specificity from 18% to 96%. For viral aetiologies, sensitivity ranged from 59% to 97% and specificity from 74% to 100%. Studies evaluating two commercial tests were meta-analysed. For ImmunoXpert, the summary sensitivity and specificity were 85% (95% CI 75%-91%, k = 4) and 86% (95% CI 73%-93%, k = 4) for bacterial infections, and 90% (95% CI 79%-96%, k = 3) and 92% (95% CI 83%-96%, k = 3) for viral infections, respectively. FebriDx had pooled sensitivity and specificity of 84% (95% CI 75%-90%, k = 4) and 93% (95% CI 90%-95%, k = 4) for bacterial infections, and 87% (95% CI 72%-95%; k = 4) and 82% (95% CI 66%-86%, k = 4) for viral infections, respectively. Conclusion: Combinations of biomarkers show potential clinical utility in discriminating the aetiology of RTIs. However, the limitations in the evidence base, due to a high proportion of studies with high risk of bias, preclude firm conclusions. Future research should be in primary care and evaluate patient outcomes and cost-effectiveness with experimental study designs. Clinical trial: PROSPERO registration number: CRD42020178973. Henry C. Carlton, Clin Microbiol Infect 2021;27:1096 (c) 2021 The Author(s). Published by Elsevier Ltd on behalf of European Society of Clinical Microbiology and Infectious Diseases. This is an open access article under the CC BY-NC-ND license (http:// creativecommons.org/licenses/by-nc-nd/4.0/).
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收藏
页码:1096 / 1108
页数:13
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