Identification of bacterial co-detections in COVID-19 critically Ill patients by BioFire® FilmArray® pneumonia panel: a systematic review and meta-analysis
Among critically ill COVID-19 patients, bacterial coinfections may occur, and timely appropriate therapy may be limited with culture-based microbiology due to turnaround time and diagnostic yield challenges (e.g. antibiotic pre-exposure). We performed a systematic review and meta-analysis of the imp...
Gespeichert in:
| Veröffentlicht in: | Diagnostic microbiology and infectious disease 2021-11, Vol.101 (3), p.115476-115476, Article 115476 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 115476 |
|---|---|
| container_issue | 3 |
| container_start_page | 115476 |
| container_title | Diagnostic microbiology and infectious disease |
| container_volume | 101 |
| creator | Timbrook, Tristan T. Hueth, Kyle D. Ginocchio, Christine C. |
| description | Among critically ill COVID-19 patients, bacterial coinfections may occur, and timely appropriate therapy may be limited with culture-based microbiology due to turnaround time and diagnostic yield challenges (e.g. antibiotic pre-exposure). We performed a systematic review and meta-analysis of the impact of BioFire® FilmArray® Pneumonia Panel in detecting bacteria and clinical management among critically ill COVID-19 patients admitted to the ICU. Seven studies with 558 patients were included. Antibiotic use before respiratory sampling occurred in 28-79% of cases. The panel incidence of detections was 33% (95% CI 0.25 to 0.41, I2=32%) while culture yielded 18% (95% CI 0.02 to 0.45; I2=93%). The panel was associated with approximately a 1 and 2 day decrease in turnaround for identification and common resistance targets, respectively. The panel may be an important tool for clinicians to improve antimicrobial use in critically ill COVID-19 patients. |
| doi_str_mv | 10.1016/j.diagmicrobio.2021.115476 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8245667</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0732889321001693</els_id><sourcerecordid>2555106544</sourcerecordid><originalsourceid>FETCH-LOGICAL-c553t-2a6362d1e5bfd9ab2927f605d38ec83659929297b2b6bc2b9a1adee23ca4dce13</originalsourceid><addsrcrecordid>eNqNkU1uFDEQhVsIRCaBKyCLFZse_NN2d2eBlEwyMFKkbICt5Z_q4JG7PdieoD4MV-AQnAyPJkRhx8pW1Xuv7Pqq6i3BS4KJeL9dWqfuRmdi0C4sKaZkSQhvWvGsWpCu7WuMW_y8WuCW0brrenZSnaa0xZjQvsEvqxPWMMxwxxfVz42FKbvBGZVdmFAYkFYmQ3TKIxNqCxnMoZOQm9Dq9uvmqiY9MtHlYvF-Rhvv0a6YS0xCekaXLqxdhN-_0Nr58SJGNZf7boL9GCaninYCf44USnPKMBanQRHuHfxAarJohKxqNSk_J5deVS8G5RO8fjjPqi_r68-rT_XN7cfN6uKmNpyzXFMlmKCWANeD7ZWmPW0HgbllHZiOCd73pdS3mmqhDdW9IsoCUGZUYw0QdlZ9OObu9nqEUppyVF7uohtVnGVQTv7bmdw3eRfuZUcbLkRbAt49BMTwfQ8py9ElA96Xz4Z9kpRzTrDgTVOk50dpwZdShOFxDMHywFdu5VO-8sBXHvkW85unD320_gVaBFdHAZR1laVGmUxBY8AWJiZLG9z_zPkD9IvDPg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2555106544</pqid></control><display><type>article</type><title>Identification of bacterial co-detections in COVID-19 critically Ill patients by BioFire® FilmArray® pneumonia panel: a systematic review and meta-analysis</title><source>MEDLINE</source><source>Access via ScienceDirect (Elsevier)</source><creator>Timbrook, Tristan T. ; Hueth, Kyle D. ; Ginocchio, Christine C.</creator><creatorcontrib>Timbrook, Tristan T. ; Hueth, Kyle D. ; Ginocchio, Christine C.</creatorcontrib><description>Among critically ill COVID-19 patients, bacterial coinfections may occur, and timely appropriate therapy may be limited with culture-based microbiology due to turnaround time and diagnostic yield challenges (e.g. antibiotic pre-exposure). We performed a systematic review and meta-analysis of the impact of BioFire® FilmArray® Pneumonia Panel in detecting bacteria and clinical management among critically ill COVID-19 patients admitted to the ICU. Seven studies with 558 patients were included. Antibiotic use before respiratory sampling occurred in 28-79% of cases. The panel incidence of detections was 33% (95% CI 0.25 to 0.41, I2=32%) while culture yielded 18% (95% CI 0.02 to 0.45; I2=93%). The panel was associated with approximately a 1 and 2 day decrease in turnaround for identification and common resistance targets, respectively. The panel may be an important tool for clinicians to improve antimicrobial use in critically ill COVID-19 patients.</description><identifier>ISSN: 0732-8893</identifier><identifier>EISSN: 1879-0070</identifier><identifier>DOI: 10.1016/j.diagmicrobio.2021.115476</identifier><identifier>PMID: 34303085</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Bacterial ; BioFire Pneumonia Panel ; Coinfection - diagnosis ; COVID-19 ; COVID-19 - complications ; COVID-19 - pathology ; Critical Illness ; Humans ; Molecular Diagnostic Techniques ; Pneumonia ; Pneumonia, Bacterial - complications ; Pneumonia, Bacterial - diagnosis ; Pneumonia, Bacterial - microbiology ; SARS-CoV-2 ; SARS-CoV-2 - isolation & purification ; Sensitivity and Specificity</subject><ispartof>Diagnostic microbiology and infectious disease, 2021-11, Vol.101 (3), p.115476-115476, Article 115476</ispartof><rights>2021 The Author(s)</rights><rights>Copyright © 2021 The Author(s). Published by Elsevier Inc. All rights reserved.</rights><rights>2021 The Author(s) 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c553t-2a6362d1e5bfd9ab2927f605d38ec83659929297b2b6bc2b9a1adee23ca4dce13</citedby><cites>FETCH-LOGICAL-c553t-2a6362d1e5bfd9ab2927f605d38ec83659929297b2b6bc2b9a1adee23ca4dce13</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.diagmicrobio.2021.115476$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34303085$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Timbrook, Tristan T.</creatorcontrib><creatorcontrib>Hueth, Kyle D.</creatorcontrib><creatorcontrib>Ginocchio, Christine C.</creatorcontrib><title>Identification of bacterial co-detections in COVID-19 critically Ill patients by BioFire® FilmArray® pneumonia panel: a systematic review and meta-analysis</title><title>Diagnostic microbiology and infectious disease</title><addtitle>Diagn Microbiol Infect Dis</addtitle><description>Among critically ill COVID-19 patients, bacterial coinfections may occur, and timely appropriate therapy may be limited with culture-based microbiology due to turnaround time and diagnostic yield challenges (e.g. antibiotic pre-exposure). We performed a systematic review and meta-analysis of the impact of BioFire® FilmArray® Pneumonia Panel in detecting bacteria and clinical management among critically ill COVID-19 patients admitted to the ICU. Seven studies with 558 patients were included. Antibiotic use before respiratory sampling occurred in 28-79% of cases. The panel incidence of detections was 33% (95% CI 0.25 to 0.41, I2=32%) while culture yielded 18% (95% CI 0.02 to 0.45; I2=93%). The panel was associated with approximately a 1 and 2 day decrease in turnaround for identification and common resistance targets, respectively. The panel may be an important tool for clinicians to improve antimicrobial use in critically ill COVID-19 patients.</description><subject>Bacterial</subject><subject>BioFire Pneumonia Panel</subject><subject>Coinfection - diagnosis</subject><subject>COVID-19</subject><subject>COVID-19 - complications</subject><subject>COVID-19 - pathology</subject><subject>Critical Illness</subject><subject>Humans</subject><subject>Molecular Diagnostic Techniques</subject><subject>Pneumonia</subject><subject>Pneumonia, Bacterial - complications</subject><subject>Pneumonia, Bacterial - diagnosis</subject><subject>Pneumonia, Bacterial - microbiology</subject><subject>SARS-CoV-2</subject><subject>SARS-CoV-2 - isolation & purification</subject><subject>Sensitivity and Specificity</subject><issn>0732-8893</issn><issn>1879-0070</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkU1uFDEQhVsIRCaBKyCLFZse_NN2d2eBlEwyMFKkbICt5Z_q4JG7PdieoD4MV-AQnAyPJkRhx8pW1Xuv7Pqq6i3BS4KJeL9dWqfuRmdi0C4sKaZkSQhvWvGsWpCu7WuMW_y8WuCW0brrenZSnaa0xZjQvsEvqxPWMMxwxxfVz42FKbvBGZVdmFAYkFYmQ3TKIxNqCxnMoZOQm9Dq9uvmqiY9MtHlYvF-Rhvv0a6YS0xCekaXLqxdhN-_0Nr58SJGNZf7boL9GCaninYCf44USnPKMBanQRHuHfxAarJohKxqNSk_J5deVS8G5RO8fjjPqi_r68-rT_XN7cfN6uKmNpyzXFMlmKCWANeD7ZWmPW0HgbllHZiOCd73pdS3mmqhDdW9IsoCUGZUYw0QdlZ9OObu9nqEUppyVF7uohtVnGVQTv7bmdw3eRfuZUcbLkRbAt49BMTwfQ8py9ElA96Xz4Z9kpRzTrDgTVOk50dpwZdShOFxDMHywFdu5VO-8sBXHvkW85unD320_gVaBFdHAZR1laVGmUxBY8AWJiZLG9z_zPkD9IvDPg</recordid><startdate>20211101</startdate><enddate>20211101</enddate><creator>Timbrook, Tristan T.</creator><creator>Hueth, Kyle D.</creator><creator>Ginocchio, Christine C.</creator><general>Elsevier Inc</general><general>The Author(s). Published by Elsevier Inc</general><scope>6I.</scope><scope>AAFTH</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20211101</creationdate><title>Identification of bacterial co-detections in COVID-19 critically Ill patients by BioFire® FilmArray® pneumonia panel: a systematic review and meta-analysis</title><author>Timbrook, Tristan T. ; Hueth, Kyle D. ; Ginocchio, Christine C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c553t-2a6362d1e5bfd9ab2927f605d38ec83659929297b2b6bc2b9a1adee23ca4dce13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Bacterial</topic><topic>BioFire Pneumonia Panel</topic><topic>Coinfection - diagnosis</topic><topic>COVID-19</topic><topic>COVID-19 - complications</topic><topic>COVID-19 - pathology</topic><topic>Critical Illness</topic><topic>Humans</topic><topic>Molecular Diagnostic Techniques</topic><topic>Pneumonia</topic><topic>Pneumonia, Bacterial - complications</topic><topic>Pneumonia, Bacterial - diagnosis</topic><topic>Pneumonia, Bacterial - microbiology</topic><topic>SARS-CoV-2</topic><topic>SARS-CoV-2 - isolation & purification</topic><topic>Sensitivity and Specificity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Timbrook, Tristan T.</creatorcontrib><creatorcontrib>Hueth, Kyle D.</creatorcontrib><creatorcontrib>Ginocchio, Christine C.</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Diagnostic microbiology and infectious disease</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Timbrook, Tristan T.</au><au>Hueth, Kyle D.</au><au>Ginocchio, Christine C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identification of bacterial co-detections in COVID-19 critically Ill patients by BioFire® FilmArray® pneumonia panel: a systematic review and meta-analysis</atitle><jtitle>Diagnostic microbiology and infectious disease</jtitle><addtitle>Diagn Microbiol Infect Dis</addtitle><date>2021-11-01</date><risdate>2021</risdate><volume>101</volume><issue>3</issue><spage>115476</spage><epage>115476</epage><pages>115476-115476</pages><artnum>115476</artnum><issn>0732-8893</issn><eissn>1879-0070</eissn><abstract>Among critically ill COVID-19 patients, bacterial coinfections may occur, and timely appropriate therapy may be limited with culture-based microbiology due to turnaround time and diagnostic yield challenges (e.g. antibiotic pre-exposure). We performed a systematic review and meta-analysis of the impact of BioFire® FilmArray® Pneumonia Panel in detecting bacteria and clinical management among critically ill COVID-19 patients admitted to the ICU. Seven studies with 558 patients were included. Antibiotic use before respiratory sampling occurred in 28-79% of cases. The panel incidence of detections was 33% (95% CI 0.25 to 0.41, I2=32%) while culture yielded 18% (95% CI 0.02 to 0.45; I2=93%). The panel was associated with approximately a 1 and 2 day decrease in turnaround for identification and common resistance targets, respectively. The panel may be an important tool for clinicians to improve antimicrobial use in critically ill COVID-19 patients.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>34303085</pmid><doi>10.1016/j.diagmicrobio.2021.115476</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0732-8893 |
| ispartof | Diagnostic microbiology and infectious disease, 2021-11, Vol.101 (3), p.115476-115476, Article 115476 |
| issn | 0732-8893 1879-0070 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8245667 |
| source | MEDLINE; Access via ScienceDirect (Elsevier) |
| subjects | Bacterial BioFire Pneumonia Panel Coinfection - diagnosis COVID-19 COVID-19 - complications COVID-19 - pathology Critical Illness Humans Molecular Diagnostic Techniques Pneumonia Pneumonia, Bacterial - complications Pneumonia, Bacterial - diagnosis Pneumonia, Bacterial - microbiology SARS-CoV-2 SARS-CoV-2 - isolation & purification Sensitivity and Specificity |
| title | Identification of bacterial co-detections in COVID-19 critically Ill patients by BioFire® FilmArray® pneumonia panel: a systematic review and meta-analysis |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-31T16%3A21%3A35IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Identification%20of%20bacterial%20co-detections%20in%20COVID-19%20critically%20Ill%20patients%20by%20BioFire%C2%AE%20FilmArray%C2%AE%20pneumonia%20panel:%20a%20systematic%20review%20and%20meta-analysis&rft.jtitle=Diagnostic%20microbiology%20and%20infectious%20disease&rft.au=Timbrook,%20Tristan%20T.&rft.date=2021-11-01&rft.volume=101&rft.issue=3&rft.spage=115476&rft.epage=115476&rft.pages=115476-115476&rft.artnum=115476&rft.issn=0732-8893&rft.eissn=1879-0070&rft_id=info:doi/10.1016/j.diagmicrobio.2021.115476&rft_dat=%3Cproquest_pubme%3E2555106544%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2555106544&rft_id=info:pmid/34303085&rft_els_id=S0732889321001693&rfr_iscdi=true |