H2N2V1, Hal, Curation, bibRecord, 000216

Multicenter evaluation of the QIAstat Respiratory Panel—A new rapid highly multiplexed PCR based assay for diagnosis of acute respiratory tract infections

Identifieur interne : 000216 ( Hal/Curation ); précédent : 000215; suivant : 000217

Multicenter evaluation of the QIAstat Respiratory Panel—A new rapid highly multiplexed PCR based assay for diagnosis of acute respiratory tract infections

Auteurs : Marijo Par Ina [Allemagne] ; Uffe Vest Schneider [Danemark] ; Benoit Visseaux [France] ; Robert Jozi [Allemagne] ; Irene Hannet [Espagne] ; Jan Gorm Lisby [Danemark]

Source :

PLoS ONE [ 1932-6203 ] ; 2020-03-12.

RBID : Hal:inserm-02521050

Abstract

Acute respiratory tract infections (ARTI), including the common cold, pharyngitis, sinusitis, otitis media, bronchiolitis and pneumonia are the most common diagnoses among patients seeking medical care in western countries, and account for most antibiotic prescriptions. While a confirmed and fast ARTI diagnosis is key for antibiotic prescribing, empiric antimicrobial treatment remains common, because viral symptoms are often clinically similar and difficult to distinguish from those caused by bacteria. As a result, inappropriate antibiotic prescriptions are high and in certain settings likely higher than the commonly estimated 30%. The QIAstat Respiratory Panel® assay (QIAstat RP) is a multiplexed in vitro diagnostics test for the rapid simultaneous detection of 21 pathogens directly from respiratory samples, including human mastadenovirus A-G, primate bocaparvovirus 1+2, human coronavirus (HKU1, NL63, OC43, 229E), human metapneumovirus A/B, rhinovirus/enterovirus, influenza A virus (no subtype, subtype H1, H1N1/2009, H3), influenza B virus, human respirovirus 1+3, human orthorubulavirus 2+4, human orthopneumovirus, Bordetella pertussis, Chlamydia pneumoniae, Mycoplasma pneumoniae and Legionella pneumophila. We describe the first multicenter study of 445 respiratory samples, collected through the 2016-2017 and 2018 respiratory seasons, with performance compared against BioFire FilmArray RP v1.7 and discrepancy testing by Seegene Allplex RP. The QIAstat RP demonstrated a positive percentage of agreement of 98.0% (95% CI: 96.0-99.1%) and a negative percentage agreement of 99.8% (95% CI: 99.6-99.9%). With use of this comprehensive and rapid test, improved patient outcomes and antimicrobial stewardship may potentially be achieved.

Url:

https://www.hal.inserm.fr/inserm-02521050

DOI: 10.1371/journal.pone.0230183

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<front><div type="abstract" xml:lang="en">              <p>Acute respiratory tract infections (ARTI), including the common cold, pharyngitis, sinusitis, otitis media, bronchiolitis and pneumonia are the most common diagnoses among patients seeking medical care in western countries, and account for most antibiotic prescriptions. While a confirmed and fast ARTI diagnosis is key for antibiotic prescribing, empiric antimicrobial treatment remains common, because viral symptoms are often clinically similar and difficult to distinguish from those caused by bacteria. As a result, inappropriate antibiotic prescriptions are high and in certain settings likely higher than the commonly estimated 30%. The QIAstat Respiratory Panel® assay (QIAstat RP) is a multiplexed in vitro diagnostics test for the rapid simultaneous detection of 21 pathogens directly from respiratory samples, including human mastadenovirus A-G, primate bocaparvovirus 1+2, human coronavirus (HKU1, NL63, OC43, 229E), human metapneumovirus A/B, rhinovirus/enterovirus, influenza A virus (no subtype, subtype H1, H1N1/2009, H3), influenza B virus, human respirovirus 1+3, human orthorubulavirus 2+4, human orthopneumovirus, Bordetella pertussis, Chlamydia pneumoniae, Mycoplasma pneumoniae and Legionella pneumophila. We describe the first multicenter study of 445 respiratory samples, collected through the 2016-2017 and 2018 respiratory seasons, with performance compared against BioFire FilmArray RP v1.7 and discrepancy testing by Seegene Allplex RP. The QIAstat RP demonstrated a positive percentage of agreement of 98.0% (95% CI: 96.0-99.1%) and a negative percentage agreement of 99.8% (95% CI: 99.6-99.9%). With use of this comprehensive and rapid test, improved patient outcomes and antimicrobial stewardship may potentially be achieved.</p>
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            <idno type="stamp" n="SORBONNE-PARIS-NORD">Université Sorbonne Paris Nord</idno>
            <idno type="stamp" n="UNIV-PARIS13">Université Paris-Nord - Paris XIII </idno>
            <idno type="stamp" n="UNIVERSITE-PARIS" corresp="UNIV-PARIS">Université de Paris</idno>
            <idno type="stamp" n="USPC">Université Sorbonne Paris Cité</idno>
            <idno type="stamp" n="UNIV-PARIS">Université de Paris</idno>
          </seriesStmt>
          <notesStmt>            <note type="audience" n="2">International</note>
            <note type="popular" n="0">No</note>
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          <sourceDesc>            <biblStruct>              <analytic>                <title xml:lang="en">Multicenter evaluation of the QIAstat Respiratory Panel—A new rapid highly multiplexed PCR based assay for diagnosis of acute respiratory tract infections</title>
                <author role="aut">                  <persName>                    <forename type="first">Marijo</forename>
                    <surname>Parčina</surname>
                  </persName>
                  <idno type="halauthorid">11783736</idno>
                  <affiliation ref="#struct-339860"></affiliation>
                </author>
                <author role="crp">                  <persName>                    <forename type="first">Uffe Vest</forename>
                    <surname>Schneider</surname>
                  </persName>
                  <email type="md5">b82ff8643a9760544f58d78eb1ae796f</email>
                  <email type="domain">regionh.dk</email>
                  <idno type="halauthorid">11783737</idno>
                  <affiliation ref="#struct-1005437"></affiliation>
                </author>
                <author role="aut">                  <persName>                    <forename type="first">Benoit</forename>
                    <surname>Visseaux</surname>
                  </persName>
                  <email type="md5">efb20dbb1412b64b7adf4b2c17c34841</email>
                  <email type="domain">aphp.fr</email>
                  <idno type="halauthorid">1416515</idno>
                  <affiliation ref="#struct-1005021"></affiliation>
                  <affiliation ref="#struct-1005438"></affiliation>
                </author>
                <author role="aut">                  <persName>                    <forename type="first">Robert</forename>
                    <surname>Jozić</surname>
                  </persName>
                  <idno type="halauthorid">11783738</idno>
                  <affiliation ref="#struct-339860"></affiliation>
                </author>
                <author role="aut">                  <persName>                    <forename type="first">Irene</forename>
                    <surname>Hannet</surname>
                  </persName>
                  <idno type="halauthorid">11783739</idno>
                  <affiliation ref="#struct-1005439"></affiliation>
                </author>
                <author role="aut">                  <persName>                    <forename type="first">Jan Gorm</forename>
                    <surname>Lisby</surname>
                  </persName>
                  <idno type="halauthorid">11783740</idno>
                  <affiliation ref="#struct-1005437"></affiliation>
                </author>
              </analytic>
              <monogr>                <idno type="halJournalId" status="VALID">28700</idno>
                <idno type="issn">1932-6203</idno>
                <idno type="eissn">1932-6203</idno>
                <title level="j">PLoS ONE</title>
                <imprint>                  <publisher>Public Library of Science</publisher>
                  <biblScope unit="volume">15</biblScope>
                  <biblScope unit="issue">3</biblScope>
                  <biblScope unit="pp">e0230183</biblScope>
                  <date type="datePub">2020-03-12</date>
                </imprint>
              </monogr>
              <idno type="doi">10.1371/journal.pone.0230183</idno>
              <idno type="pubmed">32163484</idno>
              <idno type="pubmedcentral">PMC7067435</idno>
            </biblStruct>
          </sourceDesc>
          <profileDesc>            <langUsage>              <language ident="en">English</language>
            </langUsage>
            <textClass>              <classCode scheme="halDomain" n="sdv.bbm.bm">Life Sciences [q-bio]/Biochemistry, Molecular Biology/Molecular biology</classCode>
              <classCode scheme="halDomain" n="sdv.mhep.mi">Life Sciences [q-bio]/Human health and pathology/Infectious diseases</classCode>
              <classCode scheme="halDomain" n="sdv.mhep.psr">Life Sciences [q-bio]/Human health and pathology/Pulmonology and respiratory tract</classCode>
              <classCode scheme="halTypology" n="ART">Journal articles</classCode>
            </textClass>
            <abstract xml:lang="en">              <p>Acute respiratory tract infections (ARTI), including the common cold, pharyngitis, sinusitis, otitis media, bronchiolitis and pneumonia are the most common diagnoses among patients seeking medical care in western countries, and account for most antibiotic prescriptions. While a confirmed and fast ARTI diagnosis is key for antibiotic prescribing, empiric antimicrobial treatment remains common, because viral symptoms are often clinically similar and difficult to distinguish from those caused by bacteria. As a result, inappropriate antibiotic prescriptions are high and in certain settings likely higher than the commonly estimated 30%. The QIAstat Respiratory Panel® assay (QIAstat RP) is a multiplexed in vitro diagnostics test for the rapid simultaneous detection of 21 pathogens directly from respiratory samples, including human mastadenovirus A-G, primate bocaparvovirus 1+2, human coronavirus (HKU1, NL63, OC43, 229E), human metapneumovirus A/B, rhinovirus/enterovirus, influenza A virus (no subtype, subtype H1, H1N1/2009, H3), influenza B virus, human respirovirus 1+3, human orthorubulavirus 2+4, human orthopneumovirus, Bordetella pertussis, Chlamydia pneumoniae, Mycoplasma pneumoniae and Legionella pneumophila. We describe the first multicenter study of 445 respiratory samples, collected through the 2016-2017 and 2018 respiratory seasons, with performance compared against BioFire FilmArray RP v1.7 and discrepancy testing by Seegene Allplex RP. The QIAstat RP demonstrated a positive percentage of agreement of 98.0% (95% CI: 96.0-99.1%) and a negative percentage agreement of 99.8% (95% CI: 99.6-99.9%). With use of this comprehensive and rapid test, improved patient outcomes and antimicrobial stewardship may potentially be achieved.</p>
            </abstract>
          </profileDesc>
        </hal>
</record>

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Multicenter evaluation of the QIAstat Respiratory Panel—A new rapid highly multiplexed PCR based assay for diagnosis of acute respiratory tract infections

Multicenter evaluation of the QIAstat Respiratory Panel—A new rapid highly multiplexed PCR based assay for diagnosis of acute respiratory tract infections

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