Literature DB >> 33568465

Accuracy of Molecular Amplification Assays for Diagnosis of Staphylococcal Pneumonia: a Systematic Review and Meta-analysis.

Ke Chen1,2, Sarfraz Ahmed3, Changfeng Sun1,2, Yun-Jian Sheng1,2, Gang Wu1,2, Cun-Liang Deng1, Suvash Chandra Ojha1,2.   

Abstract

Rapid and accurate identification of staphylococcal pneumonia is crucial for effective antimicrobial stewardship. We performed a meta-analysis to evaluate the diagnostic value of nucleic acid amplification tests (NAAT) from lower respiratory tract (LRT) samples from suspected pneumonia patients to avoid superfluous empirical methicillin-resistant Staphylococcus aureus (MRSA) treatment. PubMed, Scopus, Embase, Web of Science, and the Cochrane Library Database were searched from inception to 2 September 2020. Data analysis was carried out using a bivariate random-effects model to estimate pooled sensitivity, specificity, positive likelihood ratio (PLR), and negative likelihood ratio (NLR). Of 1,808 citations, 24 publications comprising 32 data sets met our inclusion criteria. Twenty-two studies (n = 4,630) assessed the accuracy of the NAAT for methicillin-sensitive S. aureus (MSSA) detection, while 10 studies (n = 2,996) demonstrated the accuracy of the NAAT for MRSA detection. The pooled NAAT sensitivity and specificity (with 95% confidence interval [CI]) for all MSSA detection were higher (sensitivity of 0.91 [95% CI, 0.89 to 0.94], specificity of 0.94 [95% CI, 0.94 to 0.95]) than those of MRSA (sensitivity of 0.75 [95% CI, 0.69 to 0.80], specificity of 0.88 [95% CI, 0.86 to 0.89]) in lower respiratory tract (LRT) samples. NAAT pooled sensitivities differed marginally among different LRT samples, including sputum, endotracheal aspirate (ETA), and bronchoalveolar lavage (BAL) fluid. Noticeably, NAAT pooled specificity against microbiological culture was consistently ≥88% across various types of LRT samples. A meta-regression and subgroup analysis of study design, sample condition, and patient selection method could not explain the heterogeneity (P > 0.05) in the diagnostic efficiency. This meta-analysis has demonstrated that the NAAT can be applied as the preferred initial test for timely diagnosis of staphylococcal pneumonia in LRT samples for successful antimicrobial therapy.

Entities:  

Keywords:  NAAT accuracy; Staphylococcus; antimicrobial therapy; clinical therapeutics; diagnostics; meta-analysis; pneumonia; staphylococcal pneumonia

Mesh:

Substances:

Year:  2021        PMID: 33568465      PMCID: PMC8373225          DOI: 10.1128/JCM.03003-20

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  56 in total

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2.  Predictive value of methicillin-resistant Staphylococcus aureus (MRSA) nasal swab PCR assay for MRSA pneumonia.

Authors:  Benjamin Dangerfield; Andrew Chung; Brandon Webb; Maria Teresa Seville
Journal:  Antimicrob Agents Chemother       Date:  2013-11-25       Impact factor: 5.191

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Journal:  Int J Infect Dis       Date:  2020-03-14       Impact factor: 3.623

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Journal:  J Hosp Infect       Date:  1992-02       Impact factor: 3.926

10.  QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies.

Authors:  Penny F Whiting; Anne W S Rutjes; Marie E Westwood; Susan Mallett; Jonathan J Deeks; Johannes B Reitsma; Mariska M G Leeflang; Jonathan A C Sterne; Patrick M M Bossuyt
Journal:  Ann Intern Med       Date:  2011-10-18       Impact factor: 25.391

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  3 in total

1.  Clinical Relevance of Xpert MRSA/SA in Guiding Therapeutic Decisions for Staphylococcal Infections: A Diagnostic Test Accuracy Analysis.

Authors:  Suvash Chandra Ojha; Ke Chen; Changfeng Sun; Sarfraz Ahmed; Yun-Jian Sheng; Cun-Liang Deng
Journal:  Infect Dis Ther       Date:  2022-04-22

Review 2.  Clinical relevance of molecular testing methods in the diagnosis and guidance of therapy in patients with staphylococcal empyema: a systematic review and meta-analysis.

Authors:  Suvash Chandra Ojha; Ke Chen; Yue Yuan; Sarfraz Ahmed; Aijaz Ahmad Malik; Mehru Nisha; Yun-Jian Sheng; Changfeng Sun; Gang Wu; Cun-Liang Deng
Journal:  Front Cell Infect Microbiol       Date:  2022-07-29       Impact factor: 6.073

3.  Molecular Tools for Guiding Therapy in Patients With Staphylococcal Bone and Joint Infections: A Diagnostic Test Accuracy Meta-analysis.

Authors:  Ke Chen; Yanqiu Wang; Yue Yuan; Wen Qin; Yun-Jian Sheng; Sarfraz Ahmed; Changfeng Sun; Cun-Liang Deng; Suvash Chandra Ojha
Journal:  Front Endocrinol (Lausanne)       Date:  2022-07-13       Impact factor: 6.055

  3 in total

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