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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Analytical and Clinical Validation of Six Commercial Middle East Respiratory Syndrome Coronavirus RNA Detection Kits Based on Real-Time Reverse-Transcription PCR</title><author><name sortKey="Kim, Mi Na" sort="Kim, Mi Na" uniqKey="Kim M" first="Mi-Na" last="Kim">Mi-Na Kim</name><affiliation><nlm:aff id="A1">Department of Laboratory Medicine, University of Ulsan College of Medicine and Asan Medical Center, Seoul, Korea.</nlm:aff></affiliation></author><author><name sortKey="Ko, Young Jin" sort="Ko, Young Jin" uniqKey="Ko Y" first="Young Jin" last="Ko">Young Jin Ko</name><affiliation><nlm:aff id="A1">Department of Laboratory Medicine, University of Ulsan College of Medicine and Asan Medical Center, Seoul, Korea.</nlm:aff></affiliation></author><author><name sortKey="Seong, Moon Woo" sort="Seong, Moon Woo" uniqKey="Seong M" first="Moon-Woo" last="Seong">Moon-Woo Seong</name><affiliation><nlm:aff id="A2">Department of Laboratory Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Korea.</nlm:aff></affiliation></author><author><name sortKey="Kim, Jae Seok" sort="Kim, Jae Seok" uniqKey="Kim J" first="Jae-Seok" last="Kim">Jae-Seok Kim</name><affiliation><nlm:aff id="A3">Department of Laboratory Medicine, Hallym University College of Medicine, Hallym University Kangdong Sacred Heart Hospital, Seoul, Korea.</nlm:aff></affiliation></author><author><name sortKey="Shin, Bo Moon" sort="Shin, Bo Moon" uniqKey="Shin B" first="Bo-Moon" last="Shin">Bo-Moon Shin</name><affiliation><nlm:aff id="A4">Department of Laboratory Medicine, Inje University, Sanggye Paik Hospital, Seoul, Korea.</nlm:aff></affiliation></author><author><name sortKey="Sung, Heungsup" sort="Sung, Heungsup" uniqKey="Sung H" first="Heungsup" last="Sung">Heungsup Sung</name><affiliation><nlm:aff id="A1">Department of Laboratory Medicine, University of Ulsan College of Medicine and Asan Medical Center, Seoul, Korea.</nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">27374710</idno><idno type="pmc">4940488</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4940488</idno><idno type="RBID">PMC:4940488</idno><idno type="doi">10.3343/alm.2016.36.5.450</idno><date when="2016">2016</date><idno type="wicri:Area/Pmc/Corpus">000080</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000080</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Analytical and Clinical Validation of Six Commercial Middle East Respiratory Syndrome Coronavirus RNA Detection Kits Based on Real-Time Reverse-Transcription PCR</title><author><name sortKey="Kim, Mi Na" sort="Kim, Mi Na" uniqKey="Kim M" first="Mi-Na" last="Kim">Mi-Na Kim</name><affiliation><nlm:aff id="A1">Department of Laboratory Medicine, University of Ulsan College of Medicine and Asan Medical Center, Seoul, Korea.</nlm:aff></affiliation></author><author><name sortKey="Ko, Young Jin" sort="Ko, Young Jin" uniqKey="Ko Y" first="Young Jin" last="Ko">Young Jin Ko</name><affiliation><nlm:aff id="A1">Department of Laboratory Medicine, University of Ulsan College of Medicine and Asan Medical Center, Seoul, Korea.</nlm:aff></affiliation></author><author><name sortKey="Seong, Moon Woo" sort="Seong, Moon Woo" uniqKey="Seong M" first="Moon-Woo" last="Seong">Moon-Woo Seong</name><affiliation><nlm:aff id="A2">Department of Laboratory Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Korea.</nlm:aff></affiliation></author><author><name sortKey="Kim, Jae Seok" sort="Kim, Jae Seok" uniqKey="Kim J" first="Jae-Seok" last="Kim">Jae-Seok Kim</name><affiliation><nlm:aff id="A3">Department of Laboratory Medicine, Hallym University College of Medicine, Hallym University Kangdong Sacred Heart Hospital, Seoul, Korea.</nlm:aff></affiliation></author><author><name sortKey="Shin, Bo Moon" sort="Shin, Bo Moon" uniqKey="Shin B" first="Bo-Moon" last="Shin">Bo-Moon Shin</name><affiliation><nlm:aff id="A4">Department of Laboratory Medicine, Inje University, Sanggye Paik Hospital, Seoul, Korea.</nlm:aff></affiliation></author><author><name sortKey="Sung, Heungsup" sort="Sung, Heungsup" uniqKey="Sung H" first="Heungsup" last="Sung">Heungsup Sung</name><affiliation><nlm:aff id="A1">Department of Laboratory Medicine, University of Ulsan College of Medicine and Asan Medical Center, Seoul, Korea.</nlm:aff></affiliation></author></analytic><series><title level="j">Annals of Laboratory Medicine</title><idno type="ISSN">2234-3806</idno><idno type="eISSN">2234-3814</idno><imprint><date when="2016">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec><title>Background</title><p>During the 2015 outbreak of Middle East Respiratory Syndrome coronavirus (MERS-CoV), six different commercial MERS-CoV RNA detection kits based on real-time reverse-transcription polymerase chain reaction (rRT-PCR) were available in Korea. We performed analytical and clinical validations of these kits.</p></sec><sec><title>Methods</title><p>PowerChek (Kogene Biotech, Korea), DiaPlexQ (SolGent, Korea), Anyplex (Seegene, Korea), AccuPower (Bioneer, Korea), LightMix (Roche Molecular Diagnostics, Switzerland), and UltraFast kits (Nanobiosys, Korea) were evaluated. Limits of detection (LOD) with 95% probability values were estimated by testing 16 replicates of upstream of the envelope gene (<italic>upE</italic>) and open reading frame 1a (<italic>ORF1a</italic>) RNA transcripts. Specificity was estimated by using 28 nasopharyngeal swabs that were positive for other respiratory viruses. Clinical sensitivity was evaluated by using 18 lower respiratory specimens. The sensitivity test panel and the high inhibition panel were composed of nine specimens each, including eight and six specimens that were positive for MERS-CoV, respectively.</p></sec><sec><title>Results</title><p>The LODs for <italic>upE</italic> ranged from 21.88 to 263.03 copies/reaction, and those for <italic>ORF1a</italic> ranged from 6.92 to 128.82 copies/reaction. No cross-reactivity with other respiratory viruses was found. All six kits correctly identified 8 of 8 (100%) positive clinical specimens. Based on results from the high inhibition panel, PowerChek and AccuPower were the least sensitive to the presence of PCR inhibition.</p></sec><sec><title>Conclusions</title><p>The overall sensitivity and specificity of all six assay systems were sufficient for diagnosing MERS-CoV infection. However, the analytical sensitivity and detection ability in specimens with PCR inhibition could be improved with the use of appropriate internal controls.</p></sec></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Cowling, Bj" uniqKey="Cowling B">BJ Cowling</name></author><author><name sortKey="Park, M" uniqKey="Park M">M Park</name></author><author><name sortKey="Fang, Vj" uniqKey="Fang V">VJ Fang</name></author><author><name sortKey="Wu, P" uniqKey="Wu P">P Wu</name></author><author><name sortKey="Leung, Gm" uniqKey="Leung G">GM Leung</name></author><author><name sortKey="Wu, Jt" uniqKey="Wu J">JT Wu</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Park, Hy" uniqKey="Park H">HY Park</name></author><author><name sortKey="Lee, Ej" uniqKey="Lee E">EJ Lee</name></author><author><name sortKey="Ryu, Yw" uniqKey="Ryu Y">YW Ryu</name></author><author><name sortKey="Kim, Y" uniqKey="Kim Y">Y Kim</name></author><author><name sortKey="Kim, H" uniqKey="Kim H">H Kim</name></author><author><name sortKey="Lee, H" uniqKey="Lee H">H Lee</name></author></analytic></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Lu, X" uniqKey="Lu X">X Lu</name></author><author><name sortKey="Whitaker, B" uniqKey="Whitaker B">B Whitaker</name></author><author><name sortKey="Sakthivel, Sk" uniqKey="Sakthivel S">SK Sakthivel</name></author><author><name sortKey="Kamili, S" uniqKey="Kamili S">S Kamili</name></author><author><name sortKey="Rose, Le" uniqKey="Rose L">LE Rose</name></author><author><name sortKey="Lowe, L" uniqKey="Lowe L">L Lowe</name></author></analytic></biblStruct><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Corman, Vm" uniqKey="Corman V">VM Corman</name></author><author><name sortKey="Muller, Ma" uniqKey="Muller M">MA Müller</name></author><author><name sortKey="Costabel, U" uniqKey="Costabel U">U Costabel</name></author><author><name sortKey="Timm, J" uniqKey="Timm J">J Timm</name></author><author><name sortKey="Binger, T" uniqKey="Binger T">T Binger</name></author><author><name sortKey="Meyer, B" uniqKey="Meyer B">B Meyer</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Corman, Vm" uniqKey="Corman V">VM Corman</name></author><author><name sortKey="Eckerle, I" uniqKey="Eckerle I">I Eckerle</name></author><author><name sortKey="Bleicker, T" uniqKey="Bleicker T">T Bleicker</name></author><author><name sortKey="Zaki, A" uniqKey="Zaki A">A Zaki</name></author><author><name sortKey="Landt, O" uniqKey="Landt O">O Landt</name></author><author><name sortKey="Eschbach Bludau, M" uniqKey="Eschbach Bludau M">M Eschbach-Bludau</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Corman, Vm" uniqKey="Corman V">VM Corman</name></author><author><name sortKey="Olschl Ger, S" uniqKey="Olschl Ger S">S Ölschläger</name></author><author><name sortKey="Wendtner, Cm" uniqKey="Wendtner C">CM Wendtner</name></author><author><name sortKey="Drexler, Jf" uniqKey="Drexler J">JF Drexler</name></author><author><name sortKey="Hess, M" uniqKey="Hess M">M Hess</name></author><author><name sortKey="Drosten, C" uniqKey="Drosten C">C Drosten</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Madej, Rm" uniqKey="Madej R">RM Madej</name></author><author><name sortKey="Davis, J" uniqKey="Davis J">J Davis</name></author><author><name sortKey="Holden, Mj" uniqKey="Holden M">MJ Holden</name></author><author><name sortKey="Kwang, S" uniqKey="Kwang S">S Kwang</name></author><author><name sortKey="Labourier, E" uniqKey="Labourier E">E Labourier</name></author><author><name sortKey="Schneider, Gj" uniqKey="Schneider G">GJ Schneider</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Kraft, Cs" uniqKey="Kraft C">CS Kraft</name></author><author><name sortKey="Armstrong, Ws" uniqKey="Armstrong W">WS Armstrong</name></author><author><name sortKey="Caliendo, Am" uniqKey="Caliendo A">AM Caliendo</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Schnepf, N" uniqKey="Schnepf N">N Schnepf</name></author><author><name sortKey="Scieux, C" uniqKey="Scieux C">C Scieux</name></author><author><name sortKey="Resche Riggon, M" uniqKey="Resche Riggon M">M Resche-Riggon</name></author><author><name sortKey="Feghoul, L" uniqKey="Feghoul L">L Feghoul</name></author><author><name sortKey="Xhaard, A" uniqKey="Xhaard A">A Xhaard</name></author><author><name sortKey="Gallien, S" uniqKey="Gallien S">S Gallien</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Cotten, M" uniqKey="Cotten M">M Cotten</name></author></analytic></biblStruct><biblStruct></biblStruct></listBibl></div1></back></TEI><pmc article-type="research-article"><pmc-dir>properties open_access</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-ta">Ann Lab Med</journal-id><journal-id journal-id-type="iso-abbrev">Ann Lab Med</journal-id><journal-id journal-id-type="publisher-id">ALM</journal-id><journal-title-group><journal-title>Annals of Laboratory Medicine</journal-title></journal-title-group><issn pub-type="ppub">2234-3806</issn><issn pub-type="epub">2234-3814</issn><publisher><publisher-name>The Korean Society for Laboratory Medicine</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">27374710</article-id><article-id pub-id-type="pmc">4940488</article-id><article-id pub-id-type="doi">10.3343/alm.2016.36.5.450</article-id><article-categories><subj-group subj-group-type="heading"><subject>Original Article</subject><subj-group subj-group-type="subheading"><subject>Clinical Microbiology</subject></subj-group></subj-group></article-categories><title-group><article-title>Analytical and Clinical Validation of Six Commercial Middle East Respiratory Syndrome Coronavirus RNA Detection Kits Based on Real-Time Reverse-Transcription PCR</article-title></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name><surname>Kim</surname><given-names>Mi-Na</given-names></name><degrees>M.D.</degrees><xref ref-type="aff" rid="A1">1</xref></contrib><contrib contrib-type="author"><name><surname>Ko</surname><given-names>Young Jin</given-names></name><degrees>M.D.</degrees><xref ref-type="aff" rid="A1">1</xref></contrib><contrib contrib-type="author"><name><surname>Seong</surname><given-names>Moon-Woo</given-names></name><degrees>M.D.</degrees><xref ref-type="aff" rid="A2">2</xref></contrib><contrib contrib-type="author"><name><surname>Kim</surname><given-names>Jae-Seok</given-names></name><degrees>M.D.</degrees><xref ref-type="aff" rid="A3">3</xref></contrib><contrib contrib-type="author"><name><surname>Shin</surname><given-names>Bo-Moon</given-names></name><degrees>M.D.</degrees><xref ref-type="aff" rid="A4">4</xref></contrib><contrib contrib-type="author"><name><surname>Sung</surname><given-names>Heungsup</given-names></name><degrees>M.D.</degrees><xref ref-type="aff" rid="A1">1</xref></contrib></contrib-group><aff id="A1"><label>1</label>Department of Laboratory Medicine, University of Ulsan College of Medicine and Asan Medical Center, Seoul, Korea.</aff><aff id="A2"><label>2</label>Department of Laboratory Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Korea.</aff><aff id="A3"><label>3</label>Department of Laboratory Medicine, Hallym University College of Medicine, Hallym University Kangdong Sacred Heart Hospital, Seoul, Korea.</aff><aff id="A4"><label>4</label>Department of Laboratory Medicine, Inje University, Sanggye Paik Hospital, Seoul, Korea.</aff><author-notes><corresp>Corresponding author: Mi-Na Kim. Department of Laboratory Medicine, University of Ulsan College of Medicine and Asan Medical Center, 88 Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Korea. Tel: +82-2-3010-4511, Fax: +82-2-478-0884, <email>mnkim@amc.seoul.kr</email></corresp></author-notes><pub-date pub-type="ppub"><month>9</month><year>2016</year></pub-date><pub-date pub-type="epub"><day>24</day><month>6</month><year>2016</year></pub-date><volume>36</volume><issue>5</issue><fpage>450</fpage><lpage>456</lpage><history><date date-type="received"><day>22</day><month>9</month><year>2015</year></date><date date-type="rev-recd"><day>27</day><month>2</month><year>2016</year></date><date date-type="accepted"><day>16</day><month>5</month><year>2016</year></date></history><permissions><copyright-statement>© The Korean Society for Laboratory Medicine.</copyright-statement><copyright-year>2016</copyright-year><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by-nc/4.0/"><license-p>This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by-nc/4.0/">http://creativecommons.org/licenses/by-nc/4.0/</ext-link>) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p></license></permissions><abstract><sec><title>Background</title><p>During the 2015 outbreak of Middle East Respiratory Syndrome coronavirus (MERS-CoV), six different commercial MERS-CoV RNA detection kits based on real-time reverse-transcription polymerase chain reaction (rRT-PCR) were available in Korea. We performed analytical and clinical validations of these kits.</p></sec><sec><title>Methods</title><p>PowerChek (Kogene Biotech, Korea), DiaPlexQ (SolGent, Korea), Anyplex (Seegene, Korea), AccuPower (Bioneer, Korea), LightMix (Roche Molecular Diagnostics, Switzerland), and UltraFast kits (Nanobiosys, Korea) were evaluated. Limits of detection (LOD) with 95% probability values were estimated by testing 16 replicates of upstream of the envelope gene (<italic>upE</italic>) and open reading frame 1a (<italic>ORF1a</italic>) RNA transcripts. Specificity was estimated by using 28 nasopharyngeal swabs that were positive for other respiratory viruses. Clinical sensitivity was evaluated by using 18 lower respiratory specimens. The sensitivity test panel and the high inhibition panel were composed of nine specimens each, including eight and six specimens that were positive for MERS-CoV, respectively.</p></sec><sec><title>Results</title><p>The LODs for <italic>upE</italic> ranged from 21.88 to 263.03 copies/reaction, and those for <italic>ORF1a</italic> ranged from 6.92 to 128.82 copies/reaction. No cross-reactivity with other respiratory viruses was found. All six kits correctly identified 8 of 8 (100%) positive clinical specimens. Based on results from the high inhibition panel, PowerChek and AccuPower were the least sensitive to the presence of PCR inhibition.</p></sec><sec><title>Conclusions</title><p>The overall sensitivity and specificity of all six assay systems were sufficient for diagnosing MERS-CoV infection. However, the analytical sensitivity and detection ability in specimens with PCR inhibition could be improved with the use of appropriate internal controls.</p></sec></abstract><kwd-group><kwd>MERS coronavirus</kwd><kwd>Real-time reverse transcription polymerase chain reaction</kwd><kwd>Validation</kwd><kwd>Lower respiratory specimen</kwd><kwd>Commercial kits</kwd></kwd-group><funding-group><award-group><funding-source country="KR"><institution-wrap><institution>Korea National Institute of Health</institution><institution-id institution-id-type="CrossRef">http://dx.doi.org/10.13039/501100003653</institution-id></institution-wrap></funding-source><award-id>4837-301-210-13</award-id></award-group></funding-group></article-meta></front><body><sec sec-type="intro"><title>INTRODUCTION</title><p>During the 2015 outbreak of Middle East Respiratory Syndrome coronavirus (MERS-CoV), a total of six different commercial MERS-CoV RNA detection kits based on real-time reverse-transcription polymerase chain reaction (rRT-PCR) were available in Korea. Of those, the PowerChek MERS Real-time PCR (Kogene Biotech, Seoul, Korea), DiaPlexQ MERS Virus Detection (SolGent, Daejeon, Korea), and Anyplex II MERS-CoV (<italic>upE</italic>) Real-time Detection kits (Seegene, Seoul, Korea) comprised two steps: single gene targeting of the region upstream of the envelope gene (<italic>upE</italic>) for screening, and multiple gene targeting of both <italic>upE</italic> and open reading frame 1a (<italic>ORF1a</italic>) for confirmation. The AccuPower MERS-CoV Real Time RT-PCR (Bioneer, Daejeon, Korea), LightMix Molecular Dx MERS-CoV <italic>upE/ORF1a</italic> (Roche Molecular Diagnostics, Basel, Switzerland), and UltraFast LabChip MERS-CoV Real-time PCR kits (Nanobiosys, Seoul, Korea) used one step to simultaneously detect both <italic>upE</italic> and <italic>ORF1a</italic> using two single gene-targeting reagents. None of these kits have been approved for diagnostic use; however, they were urgently introduced into clinical laboratories on June 4, 2015 because the timely diagnosis of MERS-CoV infections was essential during the nationwide MERS-CoV outbreak in Korea [<xref rid="B1" ref-type="bibr">1</xref><xref rid="B2" ref-type="bibr">2</xref>].</p><p>The WHO and United States Centers for Disease Control and Prevention (US CDC) provided guidelines for the molecular diagnosis of MERS-CoV [<xref rid="B3" ref-type="bibr">3</xref><xref rid="B4" ref-type="bibr">4</xref>], and since June 6, 2013 the US CDC has made novel coronavirus rRT-PCR assays [<xref rid="B5" ref-type="bibr">5</xref>] available free of charge under emergency use authorization [<xref rid="B6" ref-type="bibr">6</xref>]. Although at least three commercial rRT-PCR assays for MERS-CoV detection were available from Altona Diagnostics, Fast Track Diagnostics [<xref rid="B3" ref-type="bibr">3</xref>], and PrimerDesign (<ext-link ext-link-type="uri" xlink:href="http://www.genesig.com">http://www.genesig.com</ext-link>) before the 2015 outbreak in Korea, only RealStar MERS-CoV (Altona Diagnostics, Hamburg, Germany) had been approved for the <italic>in vitro</italic> diagnosis of MERS-CoV by Conformité Européenne (CE) and authorized for emergency use only in the United States. Therefore, all six commercial kits evaluated in this study had not been validated for diagnostic use. This study was designed to analytically and clinically validate the six above-mentioned commercial MERS CoV RNA detection kits.</p></sec><sec sec-type="methods"><title>METHODS</title><p>During July 6-10, 2015, each kit was validated by using the equipment recommended by each manufacturer (<xref ref-type="table" rid="T1">Table 1</xref>). To determine analytical sensitivity, the limits of detection (LOD) with 95% probability values was determined by using <italic>upE</italic> and <italic>ORF1a</italic> RNA transcripts supplied by the Institute of Virology, University of Bonn Medical Centre [<xref rid="B7" ref-type="bibr">7</xref>]. The original concentration of both RNA transcripts was 1.0×10<sup>5</sup> copies/µL. These were diluted to six concentrations in 0.5-log steps from 100 to 0.3 copies/reaction, and kits were tested by using 5-8-µL samples of RNA eluates per reaction. For the Nanobiosys kit, which used 2.4-µL samples per reaction, a 0.5-log higher concentration was added for the LOD validation. Each concentration was tested by using 16 replicates, with the exception of PowerChek, for which 12 replicates were used. A probit regression analysis in R Studio (R Studio Inc.; <ext-link ext-link-type="uri" xlink:href="https://www.rstudio.com/">https://www.rstudio.com/</ext-link>) was performed to determine the 95% cut-off values. The PowerChek, AccuPower, LightMix, and UltraFast LabChip kits used the primers and probes from the WHO-recommended rRT-PCR assay [<xref rid="B7" ref-type="bibr">7</xref><xref rid="B8" ref-type="bibr">8</xref>]. The primers and probes used by the DiaPlexQ and Anyplex kits were modified from the WHO-recommended rRT-PCR assay, but covered almost the same regions of <italic>upE</italic> and <italic>ORF1a</italic> (personal communication with confidentiality of the sequences). However, the Anyplex kit was validated only for <italic>upE</italic> because the oligonucleotide-binding site for <italic>ORF1a</italic> was beyond the span of the RNA transcripts used in this study.</p><p>To evaluate the analytical and clinical specificity of the kits, 28 respiratory virus-positive nasopharyngeal swabs were used to determine cross-reactions with human RNA or other respiratory viruses, including human coronaviruses. Using the Anyplex II RV16 kit (Seegene) with duplicate specimen preparations, these specimens were confirmed as positive for only single species of the following viruses: influenza virus A (n=2), influenza virus B (n=2), human parainfluenza virus 1 (n=2), human parainfluenza virus 2 (n=2), human parainfluenza virus 3 (n=2), respiratory syncytial virus A (n=2), respiratory syncytial virus B (n=2), human adenovirus (n=2), human bocavirus (n=2), human metapneumovirus (n=2), human rhinovirus (n=2), human coronavirus 229E (n=2), human coronavirus OC43 (n=2), and human coronavirus NL63 (n=2).</p><p>To evaluate the clinical sensitivity of the assays, 18 specimens from the lower respiratory tract, including 14 known positive specimens, were obtained from five institutions. The RNA eluates of nine specimens that remained after initial clinical MERS-CoV rRT-PCR testing were used following storage of <2 months at -70℃ at each institution. The other nine specimens were manually prepared in our laboratory without any pretreatment and were found to be inadequate for evaluating clinical sensitivity owing to the extremely high levels of PCR inhibition. Therefore, only the first nine specimens were used to evaluate clinical sensitivity, and the other nine specimens with high inhibition were used to evaluate the effects of PCR inhibition on positive results. In addition to determining the numbers of positives and negatives, the cycle threshold (Ct) values of the target genes and internal control were analyzed.</p></sec><sec sec-type="results"><title>RESULTS</title><p>The LODs for <italic>upE</italic> varied from 21.88 to 263.03 copies/reaction, and those of <italic>ORF1a</italic> varied from 6.92 to 128.82 copies/reaction (<xref ref-type="fig" rid="F1">Fig. 1</xref>). According to the probit regression analysis, the 95% confidence intervals (CI) for <italic>upE</italic> and <italic>ORF1a</italic> were found to overlap among the tested kits, with the exception of <italic>ORF1a</italic> by the PowerChek kit (<xref ref-type="fig" rid="F2">Fig. 2</xref>). The LODs for <italic>upE</italic> using both the single and multiple gene-targeting formats of the 2-step kits were 1.64 and 1.45 log copies/reaction for the PowerChek kit and 1.76 and 1.61 log copies/reaction for the DiaPlexQ kit (<xref ref-type="fig" rid="F2">Fig. 2</xref>). The LOD for <italic>upE</italic> was 1.34 log copies/reaction for the Anyplex kit, but no CI value could be calculated because there were no positive reactions at 1.0 log copy/reaction, while all 16 replicate specimens were positive at 1.5 log copies/reaction. In contrast, although the LODs for <italic>upE</italic> and <italic>ORF1a</italic> using the LightMix kit were 2.11 log copies/reaction and 1.78 log copies/reaction, respectively, trailing of positives was observed at much lower concentrations than these LODs (<xref ref-type="fig" rid="F1">Fig. 1</xref>). The LODs for <italic>upE</italic> of three different 1-step kits, the AccuPower, Light Mix, and Ultrafast kits, were >2.0 log copies/reaction, which was less sensitive than those of three different 2-step kits; however, this difference was not significant (<xref ref-type="fig" rid="F2">Fig. 2</xref>). The LODs for <italic>ORF1a</italic> varied less—i.e., from 1.78 to 2.11 log copies/reaction—with the exception of the PowerChek kit, which was considerably lower at 0.84 log copies/reaction (<xref ref-type="fig" rid="F2">Fig. 2</xref>). None of the kits tested in this study showed cross-reactivity with other respiratory viruses.</p><p>Based on validation tests including 28 specificity panel and nine clinical specimens, the clinical sensitivities of detecting <italic>upE</italic> and <italic>ORF1a</italic> were 100% (95% CI, 0.60-1.00) for all study kits. Specificity was 100% (95% CI, 0.79-1.00). The positive samples showed a wide range of Ct values, with values between 7.6 and 11.6 resulting from all kits (<xref ref-type="table" rid="T2">Table 2</xref>). The Ct values of the internal control varied most with PowerChek, from 22.7-32.1, while those of DiaPlexQ, Anyplex, AccuPower, LightMix, and UltraFast all varied by <1.0 (<xref ref-type="table" rid="T2">Table 2</xref>). <italic>ORF1b</italic>, tested by the DiaPlexQ kit, was detected in only five positive specimens (62.5%). The <italic>upE</italic> results of the UltraFast kit were not available for three positive specimens because one of the capillary PCR chambers holding these specimens leaked.</p><p>The effect of PCR inhibition determined by testing the nine high inhibition specimens revealed that 3-5 of the six known positive specimens were found negative or invalid by each kit (<xref ref-type="table" rid="T3">Table 3</xref>). The Ct values of the internal controls from all specimens were high or extended beyond the total amplification cycles, and, therefore, false negative results were eliminated owing to internal control failure, except for those of the PowerChek and AccuPower kits. With the AccuPower kit, the mean internal control Ct value for the high inhibition specimens was considerably prolonged to 30.1±0.69 compared with 25.7±0.31 for the sensitivity test specimens; however, there was no established cut-off point, indicating that PCR inhibition was not acceptable in the PCR reaction. On the other hand, Ct values for the sensitivity test specimens and the high inhibition specimens using the PowerChek kit were not significantly different at 25.3±3.2 and 27.0±3.1, respectively. The LightMix kit produced two uncertain results with known positive specimens and one uncertain result with a known negative specimen (<xref ref-type="table" rid="T3">Table 3</xref>).</p><p>There were no positive results detected by any of the kits among the four negative specimens included in the sensitivity test and high inhibition panels (<xref ref-type="table" rid="T2">Tables 2</xref> and <xref ref-type="table" rid="T3">3</xref>).</p></sec><sec sec-type="discussion"><title>DISCUSSION</title><p>The LOD for the <italic>upE</italic> and <italic>ORF1a</italic> rRT-PCR kits was analyzed with the same RNA transcripts used to evaluate RealStar MERS-CoV (Altona Diagnostics), which is the only kit thus far approved for diagnosis [<xref rid="B9" ref-type="bibr">9</xref>]. When comparing the analytical sensitivities of assay systems, it is important to use consistent evaluation conditions; moreover, the quality of the source material is critical. It is often difficult to find traceable source materials for the molecular diagnosis of viral infections, as only a few international standards have been established to date [<xref rid="B10" ref-type="bibr">10</xref><xref rid="B11" ref-type="bibr">11</xref><xref rid="B12" ref-type="bibr">12</xref>]. As with RealStar MERS-CoV [<xref rid="B9" ref-type="bibr">9</xref>], all target gene-binding sites for <italic>upE</italic>, <italic>ORF1a</italic>, and <italic>ORF1b</italic> used in the study kits were based on the oligonucleotide sequences of WHO-recommended primers and probes [<xref rid="B3" ref-type="bibr">3</xref>], and the <italic>upE</italic> and <italic>ORF1a</italic> target sites were located within the RNA transcripts used in this study. Whole genome sequences of MERS-CoV isolates obtained during the 2015 Korean outbreak were determined by the Korea National Institute of Health and Seoul National University (gb|KT029139.1|) and the Guangdong Provincial Center for Disease Control and Prevention (gb|KT036372.1). Both sequences closely clustered with a strain isolated during the spring 2015 outbreak in Riyadh, Saudi Arabia (gb|KT026454.1|) [<xref rid="B13" ref-type="bibr">13</xref>]. Therefore, the primers and probes used in this study were most likely not affected by sequence variations in the MERS-CoV strains circulating in this outbreak. The RNA transcripts used to assess the analytical sensitivity in detecting <italic>upE</italic> and <italic>ORF1a</italic> [<xref rid="B9" ref-type="bibr">9</xref>] were not expected to have target mismatches with the primers and probes used in this study. Therefore, the LOD of all kits was analyzed by using identical source materials, and the data were comparable among various kits as well as with data from previous evaluations of RealStar MERS-CoV [<xref rid="B9" ref-type="bibr">9</xref>].</p><p>The LODs for <italic>upE</italic> of the kits assessed in this study indicated approximately 10-fold lower sensitivity than the previously reported 95% cut-off value of 5.3 copies/reaction for RealStar MERS-CoV [<xref rid="B9" ref-type="bibr">9</xref>]. The overall sensitivities for detecting <italic>upE</italic> of the kits evaluated herein were consistently lower than that of the RealStar MERS-CoV kit (<xref ref-type="fig" rid="F2">Fig. 2</xref>). Only the LOD for <italic>ORF1a</italic> using the PowerChek duplex kit was similar to that of the RealStar kit: 9.3 copies/reaction using the RealStar MERS-CoV kit in comparison with 6.9 copies/reaction using the PowerChek kit. Therefore, the lower sensitivities of the kits evaluated in comparison with that of RealStar MERS-CoV could be attributed to their performances rather than instability in source materials. In comparison with RealStar MERS-CoV [<xref rid="B9" ref-type="bibr">9</xref>], all of the kits analyzed herein have room for improvement in their sensitivity, with the exception of <italic>ORF1a</italic> testing with the PowerChek kit. Unlike the other tested kits, the LightMix kit demonstrated a markedly trailing tendency to yield positive results down to much lower concentrations than its LOD and an uncertain result to even a known-negative specimen (<xref ref-type="fig" rid="F1">Fig. 1</xref>). These findings suggest that the effort to increase sensitivity may result in more uncertainty and therefore negatively impact specificity. The previous study on the clinical sensitivity of RealStar MERS-CoV produced four discrepant results among 19 specimens, of which three specimens (oral, nasal, and urine specimens) showed high Ct values using the RealStar kit, but not using the comparison assay (and vice versa for one nasal specimen) [<xref rid="B9" ref-type="bibr">9</xref>]. This could be a result of RealStar MERS-CoV having a higher sensitivity or lower specificity than the other assay. Using the 2-step kits tested in this study, the LODs for <italic>upE</italic> using multiple gene-targeting formats were comparable to those obtained using single gene-targeting formats (<xref ref-type="fig" rid="F2">Fig. 2</xref>). Therefore, implementing a 2-step approach, including performing the first screening step with a single gene-targeting format, was not beneficial in terms of sensitivity.</p><p>In the present study, the LOD was analyzed by using a 0.5-log dilution series because a 0.5-log dilution is considered "within physiological variation or not significant" in viral kinetics [<xref rid="B14" ref-type="bibr">14</xref>]. However, this was limited in that the 0.5-log dilution scale was too wide to estimate the CI value for the Anyplex kit (<xref ref-type="fig" rid="F1">Fig. 1</xref>), and estimation of the LOD by probit regression analysis seemed to be less appropriate for the LightMix kit with a trailing tendency to much lower concentrations. The LOD for <italic>ORF1b</italic> using the DiaPlexQ kit was not measured, but the low sensitivity of this kit in detecting <italic>ORF1b</italic> in clinical specimens is consistent with a previous report, in which testing for <italic>ORF1b</italic> was less sensitive than testing for <italic>ORF1a</italic> or <italic>upE</italic> [<xref rid="B7" ref-type="bibr">7</xref><xref rid="B8" ref-type="bibr">8</xref>].</p><p>No cross-reactivity was observed with other respiratory viruses, including human coronavirus, in any assays included in this study. These findings are consistent with previous evaluations that used the primers and probes recommended by WHO [<xref rid="B7" ref-type="bibr">7</xref><xref rid="B8" ref-type="bibr">8</xref><xref rid="B9" ref-type="bibr">9</xref>]. Therefore, all assay systems demonstrated adequate specificity.</p><p>The clinical sensitivities of the kits were all 100% (<xref ref-type="table" rid="T2">Table 2</xref>). Because the sensitivity test panel comprised various positive specimens with a wide range of Ct values, this high sensitivity validated their diagnostic performance for MERS-CoV infection, particularly from sputum specimens, although the number of positive specimens was small. One of the strengths in the present study was determining the effects of PCR inhibition on clinical sensitivity and the importance of internal controls (<xref ref-type="table" rid="T3">Table 3</xref>). The internal controls of the PowerChek kit were not affected by the inhibition. This could be because the PowerChek kit uses a less sensitive internal control that is intrinsic to human cells, although the PCR efficiency of this kit itself was also less affected. The positivity rates for kits when testing the high inhibition panel correlated with their analytical sensitivities, as only PowerChek detected 50% of known-positive specimens. Based on these findings, it is clear that clinical sensitivity can be significantly affected by the presence of PCR inhibitors, and analytical sensitivity may be affected by PCR inhibition-prone specimens such as sputum specimens. Therefore, optimization of the pretreatment and RNA extraction procedures is necessary to improve the sensitivity of MERS-CoV molecular diagnostics, especially for testing sputum specimens.</p><p>There were some noteworthy limitations of this study, including: 1) the number of specimens used to test clinical sensitivity was relatively small; 2) the reproducibility of the assay results was not validated; and 3) the effects of inhibition were qualitatively estimated. In conclusion, the commercial kits evaluated in this study demonstrated variable analytical sensitivities; however, the overall clinical sensitivity and specificity were same and were sufficient for diagnosing MERS-CoV infection. The performance of the individual kits could be improved in terms of their analytical sensitivity, and identification of PCR inhibition with the use of appropriate internal controls is essential.</p></sec></body><back><ack><title>Acknowledgments</title><p>This study was granted by the Korea National Institute of Health (4837-301-210-13). 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(A) upE with PowerChek single, (B) upE with PowerChek duplex, (C) ORF1a with PowerChek duplex, (D) upE with DiaPlexQ single, (E) upE with DiaPlexQ triplex, (F) ORF1a with DiaPlexQ triplex, (G) upE with AccuPower single, (H) ORF1a with AccuPower single, (I) upE with LightMix single, (J) ORF1a with LightMix single, (K) upE with UltraFast single, and (L) ORF1a with UltraFast single. LODs of each assay were denoted in copies per test (blue letters).</title><p>Abbreviations: LOD, limit of detection; MERS-CoV, Middle East Respiratory Syndrome coronavirus.</p></caption><graphic xlink:href="alm-36-450-g001"></graphic></fig><fig id="F2" orientation="portrait" position="float"><label>Fig. 2</label><caption><title>Comparison of LOD of the six commercial kits for MERS-CoV RNA detection. The log LOD values of upE (A) and ORF1a (B) with 95% confidence intervals (CI) are shown, but there were no CI values for Anyplex single upE. The 95% CI values overlapped among the kits, except for the LOD of ORF1a with PowerChek duplex.</title><p>Abbreviations: See <xref ref-type="fig" rid="F1">Fig. 1</xref>.</p></caption><graphic xlink:href="alm-36-450-g002"></graphic></fig><table-wrap id="T1" orientation="portrait" position="float"><label>Table 1</label><caption><title>Specifications of the six commercial kits for MERS-CoV RNA detection</title></caption><alternatives><graphic xlink:href="alm-36-450-i001"></graphic><table frame="hsides" rules="rows"><col width="20%" span="1"></col><col width="20%" span="1"></col><col width="20%" span="1"></col><col width="20%" span="1"></col><col width="20%" span="1"></col><thead><tr><th valign="middle" align="left" rowspan="1" colspan="1" style="background-color:rgb(218,227,244)">Study kit (manufacturer)</th><th valign="middle" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,227,244)">PCR equipment</th><th valign="middle" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,227,244)">Target genes</th><th valign="middle" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,227,244)">Internal control</th><th valign="middle" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,227,244)">Total number of PCR cycles, PCR time, Ct</th></tr></thead><tbody><tr><td valign="top" align="left" rowspan="1" colspan="1">PowerChek MERS Real-time PCR kit (Kogene Biotech)</td><td valign="top" align="left" rowspan="1" colspan="1">ABI 7500</td><td valign="top" align="left" rowspan="1" colspan="1">2 steps: single <italic>upE</italic> to screen; duplex <italic>upE</italic> and <italic>ORF1a</italic> to confirm</td><td valign="top" align="left" rowspan="1" colspan="1">Human GAPDH intrinsic in specimens</td><td valign="top" align="left" rowspan="1" colspan="1">40, 120 min, ≤ 35 (indeterminate<sup>*</sup> > 35- ≤ 38)</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">DiaPlexQ MERS Virus Detection kit (Solgent)</td><td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">BioRad CPX96</td><td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">2 steps: single <italic>upE</italic> to screen; triplex <italic>upE</italic>, <italic>ORF1a</italic>, and <italic>ORF1b</italic> to confirm</td><td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">Spiked DNA in PCR mixtures (valid Ct ≤ 23)</td><td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">40, 120 min, ≤ 38 (gray zone<sup>* </sup>> 38- ≤ 40)</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">Anyplex II MERS-CoV Real-time Detection (Seegene)</td><td valign="top" align="left" rowspan="1" colspan="1">BioRad CFX96</td><td valign="top" align="left" rowspan="1" colspan="1">2 steps: single <italic>upE</italic> to screen; duplex <italic>upE</italic> and <italic>ORF1a</italic> to confirm</td><td valign="top" align="left" rowspan="1" colspan="1">Spiked RNA phage in specimens before extraction</td><td valign="top" align="left" rowspan="1" colspan="1">45, 140 min, ≤ 45</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">AccuPower MERS-CoV Real-time RT-PCR kit (Bioneer)</td><td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">Exicycler 96</td><td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">1 step: single <italic>upE</italic> and single <italic>ORF1a</italic></td><td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">Spiked tobacco mosaic virus RNA in PCR mixtures</td><td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">40, 110 min, < 38</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">LightMix Molecular Dx kit MERS-CoV upE/ORF1a (Roche)</td><td valign="top" align="left" rowspan="1" colspan="1">LightCycler 480</td><td valign="top" align="left" rowspan="1" colspan="1">1 step: single <italic>upE</italic> and single <italic>ORF1a</italic></td><td valign="top" align="left" rowspan="1" colspan="1">Spiked Phocine herpesvirus DNA in PCR mixtures</td><td valign="top" align="left" rowspan="1" colspan="1">45, 90 min, < 39</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">UltraFast LapChip MERS-CoV Real-time PCR (Nanobiosys)</td><td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">UltraFast LapChip G2-4</td><td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">1 step: single <italic>upE</italic> and single <italic>ORF1a</italic></td><td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">Spiked DNA in PCR mixtures</td><td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">45, 30 min, < 40</td></tr></tbody></table></alternatives><table-wrap-foot><fn><p><sup>*</sup>Retesting required using new specimens collected after 24 hours.</p><p>Abbreviations: MERS-CoV, Middle East Respiratory Syndrome coronavirus; Ct, cycle threshold.</p></fn></table-wrap-foot></table-wrap><table-wrap id="T2" orientation="portrait" position="float"><label>Table 2</label><caption><title>Clinical sensitivities of the six commercial kits for MERS-CoV RNA detection</title></caption><alternatives><graphic xlink:href="alm-36-450-i002"></graphic><table frame="hsides" rules="rows"><col width="8%" span="1"></col><col width="10%" span="1"></col><col width="10%" span="1"></col><col width="4%" span="1"></col><col width="4%" span="1"></col><col width="4%" span="1"></col><col width="4%" span="1"></col><col width="4%" span="1"></col><col width="4%" span="1"></col><col width="4%" span="1"></col><col width="4%" span="1"></col><col width="4%" span="1"></col><col width="4%" span="1"></col><col width="4%" span="1"></col><col width="4%" span="1"></col><col width="4%" span="1"></col><col width="4%" span="1"></col><col width="4%" span="1"></col><col width="4%" span="1"></col><col width="4%" span="1"></col><col width="4%" span="1"></col><thead><tr><th valign="middle" align="left" rowspan="2" colspan="1" style="background-color:rgb(218,227,244)">No.</th><th valign="middle" align="center" rowspan="2" colspan="1" style="background-color:rgb(218,227,244)">Specimen type</th><th valign="middle" align="center" rowspan="2" colspan="1" style="background-color:rgb(218,227,244)">Expected result</th><th valign="top" align="center" rowspan="1" colspan="18" style="background-color:rgb(218,227,244)">Interpretation or Ct value if positive</th></tr><tr><th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,227,244)">PoD-IC</th><th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,227,244)">PoD-upE</th><th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,227,244)">PoD-ORF1a</th><th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,227,244)">DiT-IC</th><th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,227,244)">DiT-upE</th><th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,227,244)">DiT-ORF1a</th><th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,227,244)">DiT-ORF1b</th><th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,227,244)">AnS-IC</th><th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,227,244)">AnS-upE</th><th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,227,244)">LiS-IC<sup>*</sup></th><th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,227,244)">LiS-upE</th><th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,227,244)">LiS-ORF1a</th><th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,227,244)">AcS-IC<sup>*</sup></th><th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,227,244)">AcS-upE</th><th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,227,244)">AcS-ORF1a</th><th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,227,244)">UlS-IC<sup>*</sup></th><th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,227,244)">UlS-upE</th><th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,227,244)">UlS-ORF1a</th></tr></thead><tbody><tr><td valign="top" align="left" rowspan="1" colspan="1">1</td><td valign="top" align="center" rowspan="1" colspan="1">Sputum</td><td valign="top" align="center" rowspan="1" colspan="1">P</td><td valign="top" align="center" rowspan="1" colspan="1">22.7</td><td valign="top" align="center" rowspan="1" colspan="1">28.0</td><td valign="top" align="center" rowspan="1" colspan="1">29.4</td><td valign="top" align="center" rowspan="1" colspan="1">19.3</td><td valign="top" align="center" rowspan="1" colspan="1">30.5</td><td valign="top" align="center" rowspan="1" colspan="1">31.4</td><td valign="top" align="center" rowspan="1" colspan="1">N</td><td valign="top" align="center" rowspan="1" colspan="1">26.0</td><td valign="top" align="center" rowspan="1" colspan="1">31.4</td><td valign="top" align="center" rowspan="1" colspan="1">26.1</td><td valign="top" align="center" rowspan="1" colspan="1">34.0</td><td valign="top" align="center" rowspan="1" colspan="1">34.0</td><td valign="top" align="center" rowspan="1" colspan="1">25.5</td><td valign="top" align="center" rowspan="1" colspan="1">31.1</td><td valign="top" align="center" rowspan="1" colspan="1">33.0</td><td valign="top" align="center" rowspan="1" colspan="1">23.4</td><td valign="top" align="center" rowspan="1" colspan="1">30.5</td><td valign="top" align="center" rowspan="1" colspan="1">NA</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">2</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">Sputum</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">P</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">23.5</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">23.3</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">24.5</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">19.2</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">24.9</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">25.8</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">34.4</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">25.7</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">24.8</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">26.1</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">27.1</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">28.9</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">25.4</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">26.2</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">27</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">23.3</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">25.5</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">NA</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">3</td><td valign="top" align="center" rowspan="1" colspan="1">Sputum</td><td valign="top" align="center" rowspan="1" colspan="1">P</td><td valign="top" align="center" rowspan="1" colspan="1">24.1</td><td valign="top" align="center" rowspan="1" colspan="1">32.4</td><td valign="top" align="center" rowspan="1" colspan="1">33.4</td><td valign="top" align="center" rowspan="1" colspan="1">19.2</td><td valign="top" align="center" rowspan="1" colspan="1">33.4</td><td valign="top" align="center" rowspan="1" colspan="1">33.9</td><td valign="top" align="center" rowspan="1" colspan="1">N</td><td valign="top" align="center" rowspan="1" colspan="1">26.2</td><td valign="top" align="center" rowspan="1" colspan="1">34.6</td><td valign="top" align="center" rowspan="1" colspan="1">26.1</td><td valign="top" align="center" rowspan="1" colspan="1">34.5</td><td valign="top" align="center" rowspan="1" colspan="1">35.1</td><td valign="top" align="center" rowspan="1" colspan="1">25.5</td><td valign="top" align="center" rowspan="1" colspan="1">34.0</td><td valign="top" align="center" rowspan="1" colspan="1">35.9</td><td valign="top" align="center" rowspan="1" colspan="1">23.4</td><td valign="top" align="center" rowspan="1" colspan="1">32.7</td><td valign="top" align="center" rowspan="1" colspan="1">NA</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">4</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">Sputum</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">P</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">22.4</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">32.5</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">33.1</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">19.1</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">35.1</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">35.2</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">N</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">26.2</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">36.4</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">26.2</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">38.7</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">36.1</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">25.4</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">36.9</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">38.0</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">23.4</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">34.1</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">34.1</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">5</td><td valign="top" align="center" rowspan="1" colspan="1">TA</td><td valign="top" align="center" rowspan="1" colspan="1">P</td><td valign="top" align="center" rowspan="1" colspan="1">26.3</td><td valign="top" align="center" rowspan="1" colspan="1">24.9</td><td valign="top" align="center" rowspan="1" colspan="1">26.7</td><td valign="top" align="center" rowspan="1" colspan="1">19.1</td><td valign="top" align="center" rowspan="1" colspan="1">26.4</td><td valign="top" align="center" rowspan="1" colspan="1">27.8</td><td valign="top" align="center" rowspan="1" colspan="1">35.7</td><td valign="top" align="center" rowspan="1" colspan="1">25.5</td><td valign="top" align="center" rowspan="1" colspan="1">25.5</td><td valign="top" align="center" rowspan="1" colspan="1">26.5</td><td valign="top" align="center" rowspan="1" colspan="1">27.1</td><td valign="top" align="center" rowspan="1" colspan="1">28.5</td><td valign="top" align="center" rowspan="1" colspan="1">25.9</td><td valign="top" align="center" rowspan="1" colspan="1">28.6</td><td valign="top" align="center" rowspan="1" colspan="1">30.4</td><td valign="top" align="center" rowspan="1" colspan="1">23.5</td><td valign="top" align="center" rowspan="1" colspan="1">27.1</td><td valign="top" align="center" rowspan="1" colspan="1">28.3</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">6</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">Sputum</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">P</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">28.5</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">26.6</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">27.5</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">19.0</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">28.1</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">26.7</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">36.4</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">25.6</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">27.6</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">26.8</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">28.8</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">29.1</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">26.0</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">30.0</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">30.8</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">23.5</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">29</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">29.1</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">7</td><td valign="top" align="center" rowspan="1" colspan="1">Sputum</td><td valign="top" align="center" rowspan="1" colspan="1">P</td><td valign="top" align="center" rowspan="1" colspan="1">32.1</td><td valign="top" align="center" rowspan="1" colspan="1">29.7</td><td valign="top" align="center" rowspan="1" colspan="1">30.9</td><td valign="top" align="center" rowspan="1" colspan="1">19.3</td><td valign="top" align="center" rowspan="1" colspan="1">31.5</td><td valign="top" align="center" rowspan="1" colspan="1">29.9</td><td valign="top" align="center" rowspan="1" colspan="1">N</td><td valign="top" align="center" rowspan="1" colspan="1">25.5</td><td valign="top" align="center" rowspan="1" colspan="1">31.3</td><td valign="top" align="center" rowspan="1" colspan="1">27.0</td><td valign="top" align="center" rowspan="1" colspan="1">32.3</td><td valign="top" align="center" rowspan="1" colspan="1">31.8</td><td valign="top" align="center" rowspan="1" colspan="1">25.8</td><td valign="top" align="center" rowspan="1" colspan="1">33.0</td><td valign="top" align="center" rowspan="1" colspan="1">35.1</td><td valign="top" align="center" rowspan="1" colspan="1">23.3</td><td valign="top" align="center" rowspan="1" colspan="1">31.4</td><td valign="top" align="center" rowspan="1" colspan="1">32.2</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">8</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">Sputum</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">N</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">23.0</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">N</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">N</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">19.3</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">N</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">N</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">N</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">25.2</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">N</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">26.3</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">N</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">N</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">25.7</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">N</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">N</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">23.5</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">N</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">N</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">9</td><td valign="top" align="center" rowspan="1" colspan="1">Sputum</td><td valign="top" align="center" rowspan="1" colspan="1">P</td><td valign="top" align="center" rowspan="1" colspan="1">NA</td><td valign="top" align="center" rowspan="1" colspan="1">NA</td><td valign="top" align="center" rowspan="1" colspan="1">NA</td><td valign="top" align="center" rowspan="1" colspan="1">NA</td><td valign="top" align="center" rowspan="1" colspan="1">NA</td><td valign="top" align="center" rowspan="1" colspan="1">NA</td><td valign="top" align="center" rowspan="1" colspan="1">NA</td><td valign="top" align="center" rowspan="1" colspan="1">25.3</td><td valign="top" align="center" rowspan="1" colspan="1">30.0</td><td valign="top" align="center" rowspan="1" colspan="1">26.2</td><td valign="top" align="center" rowspan="1" colspan="1">31.9</td><td valign="top" align="center" rowspan="1" colspan="1">31.4</td><td valign="top" align="center" rowspan="1" colspan="1">26.4</td><td valign="top" align="center" rowspan="1" colspan="1">32.1</td><td valign="top" align="center" rowspan="1" colspan="1">33.3</td><td valign="top" align="center" rowspan="1" colspan="1">23.6</td><td valign="top" align="center" rowspan="1" colspan="1">31</td><td valign="top" align="center" rowspan="1" colspan="1">31.1</td></tr></tbody></table></alternatives><table-wrap-foot><fn><p><sup>*</sup>The internal control Ct value was determined by using an rRT-PCR reaction for <italic>upE</italic>.</p><p>Abbreviations: MERS-CoV, Middle East Respiratory Syndrome coronavirus; Ct, cycle threshold; IC, internal control; N, negative; P, positive; TA, tracheal aspirate; PoD, PowerChek duplex; DiT, DiaPlexQ triplex; AnS, Anyplex single; LiS, LightMix single; AcS, AccuPower single; UlS, UltraFast single; N, Negative, NA, not available.</p></fn></table-wrap-foot></table-wrap><table-wrap id="T3" orientation="portrait" position="float"><label>Table 3</label><caption><title>Test results of the six commercial kits for MERS-CoV RNA detection using a high inhibition panel</title></caption><alternatives><graphic xlink:href="alm-36-450-i003"></graphic><table frame="hsides" rules="rows"><col width="8%" span="1"></col><col width="10%" span="1"></col><col width="10%" span="1"></col><col width="4%" span="1"></col><col width="4%" span="1"></col><col width="4%" span="1"></col><col width="4%" span="1"></col><col width="4%" span="1"></col><col width="4%" span="1"></col><col width="4%" span="1"></col><col width="4%" span="1"></col><col width="4%" span="1"></col><col width="4%" span="1"></col><col width="4%" span="1"></col><col width="4%" span="1"></col><col width="4%" span="1"></col><col width="4%" span="1"></col><col width="4%" span="1"></col><col width="4%" span="1"></col><col width="4%" span="1"></col><col width="4%" span="1"></col><thead><tr><th valign="middle" align="left" rowspan="2" colspan="1" style="background-color:rgb(218,227,244)">No.</th><th valign="middle" align="center" rowspan="2" colspan="1" style="background-color:rgb(218,227,244)">Specimen type</th><th valign="middle" align="center" rowspan="2" colspan="1" style="background-color:rgb(218,227,244)">Expected result</th><th valign="top" align="center" rowspan="1" colspan="18" style="background-color:rgb(218,227,244)">Interpretation or Ct value if positive</th></tr><tr><th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,227,244)">PoD-IC</th><th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,227,244)">PoD-upE</th><th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,227,244)">PoD-ORF1a</th><th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,227,244)">DiT-IC</th><th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,227,244)">DiT-upE</th><th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,227,244)">DiT-ORF1a</th><th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,227,244)">DiT-ORF1b</th><th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,227,244)">AnS-IC</th><th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,227,244)">AnS-upE</th><th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,227,244)">LiS-IC<sup>*</sup></th><th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,227,244)">LiS-upE</th><th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,227,244)">LiS-ORF1a</th><th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,227,244)">AcS-IC<sup>*</sup></th><th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,227,244)">AcS-upE</th><th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,227,244)">AcS-ORF1a</th><th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,227,244)">UlS-IC<sup>*</sup></th><th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,227,244)">UlS-upE</th><th valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(218,227,244)">UlS-ORF1a</th></tr></thead><tbody><tr><td valign="top" align="left" rowspan="1" colspan="1">10</td><td valign="top" align="center" rowspan="1" colspan="1">Sputum</td><td valign="top" align="center" rowspan="1" colspan="1">P</td><td valign="top" align="center" rowspan="1" colspan="1">22.9</td><td valign="top" align="center" rowspan="1" colspan="1">27.2</td><td valign="top" align="center" rowspan="1" colspan="1">28.5</td><td valign="top" align="center" rowspan="1" colspan="1">In</td><td valign="top" align="center" rowspan="1" colspan="1">20.3</td><td valign="top" align="center" rowspan="1" colspan="1">23.2</td><td valign="top" align="center" rowspan="1" colspan="1">27.9</td><td valign="top" align="center" rowspan="1" colspan="1">29.4</td><td valign="top" align="center" rowspan="1" colspan="1">21.6</td><td valign="top" align="center" rowspan="1" colspan="1">26.6</td><td valign="top" align="center" rowspan="1" colspan="1">28.5</td><td valign="top" align="center" rowspan="1" colspan="1">28.0</td><td valign="top" align="center" rowspan="1" colspan="1">30.0</td><td valign="top" align="center" rowspan="1" colspan="1">29.1</td><td valign="top" align="center" rowspan="1" colspan="1">32.4</td><td valign="top" align="center" rowspan="1" colspan="1">In</td><td valign="top" align="center" rowspan="1" colspan="1">21.4</td><td valign="top" align="center" rowspan="1" colspan="1">24.0</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">11</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">Sputum</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">P</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">28.4</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">34.5</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">35.7</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">In</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">Inv</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">Inv</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">Inv</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">In</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">Inv</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">32.1(U)</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">38.3(U)</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">N</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">29.7</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">N</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">N</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">In</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">Inv</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">Inv</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">12</td><td valign="top" align="center" rowspan="1" colspan="1">Sputum</td><td valign="top" align="center" rowspan="1" colspan="1">P</td><td valign="top" align="center" rowspan="1" colspan="1">30.2</td><td valign="top" align="center" rowspan="1" colspan="1">N</td><td valign="top" align="center" rowspan="1" colspan="1">N</td><td valign="top" align="center" rowspan="1" colspan="1">In</td><td valign="top" align="center" rowspan="1" colspan="1">Inv</td><td valign="top" align="center" rowspan="1" colspan="1">Inv</td><td valign="top" align="center" rowspan="1" colspan="1">Inv</td><td valign="top" align="center" rowspan="1" colspan="1">In</td><td valign="top" align="center" rowspan="1" colspan="1">Inv</td><td valign="top" align="center" rowspan="1" colspan="1">31.1(U)</td><td valign="top" align="center" rowspan="1" colspan="1">N</td><td valign="top" align="center" rowspan="1" colspan="1">5(U)</td><td valign="top" align="center" rowspan="1" colspan="1">31.7</td><td valign="top" align="center" rowspan="1" colspan="1">N</td><td valign="top" align="center" rowspan="1" colspan="1">N</td><td valign="top" align="center" rowspan="1" colspan="1">In/31.6</td><td valign="top" align="center" rowspan="1" colspan="1">Inv</td><td valign="top" align="center" rowspan="1" colspan="1">Inv</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">13</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">Sputum</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">P</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">24.1</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">25.1</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">25.6</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">In</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">20.1</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">21.7</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">26.0</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">In</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">Inv</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">26.9</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">29.7</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">29.7</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">29.6</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">32.5</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">35.8</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">In</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">31.6</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">31.6</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">14</td><td valign="top" align="center" rowspan="1" colspan="1">Sputum</td><td valign="top" align="center" rowspan="1" colspan="1">P</td><td valign="top" align="center" rowspan="1" colspan="1">22.4</td><td valign="top" align="center" rowspan="1" colspan="1">N</td><td valign="top" align="center" rowspan="1" colspan="1">N</td><td valign="top" align="center" rowspan="1" colspan="1">In</td><td valign="top" align="center" rowspan="1" colspan="1">Inv</td><td valign="top" align="center" rowspan="1" colspan="1">Inv</td><td valign="top" align="center" rowspan="1" colspan="1">Inv</td><td valign="top" align="center" rowspan="1" colspan="1">In</td><td valign="top" align="center" rowspan="1" colspan="1">Inv</td><td valign="top" align="center" rowspan="1" colspan="1">28.6</td><td valign="top" align="center" rowspan="1" colspan="1">U/5</td><td valign="top" align="center" rowspan="1" colspan="1">5(U)</td><td valign="top" align="center" rowspan="1" colspan="1">29.4</td><td valign="top" align="center" rowspan="1" colspan="1">N</td><td valign="top" align="center" rowspan="1" colspan="1">N</td><td valign="top" align="center" rowspan="1" colspan="1">In</td><td valign="top" align="center" rowspan="1" colspan="1">Inv</td><td valign="top" align="center" rowspan="1" colspan="1">Inv</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">15</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">Sputum</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">P</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">27.2</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">N</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">N</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">In</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">Inv</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">Inv</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">Inv</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">In</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">Inv</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">31.0(U)</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">38.7(Inv)</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">N</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">30.3</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">N</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">N</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">In/29.2</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">Inv</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">Inv</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">16</td><td valign="top" align="center" rowspan="1" colspan="1">Sputum</td><td valign="top" align="center" rowspan="1" colspan="1">N</td><td valign="top" align="center" rowspan="1" colspan="1">30.8</td><td valign="top" align="center" rowspan="1" colspan="1">N</td><td valign="top" align="center" rowspan="1" colspan="1">N</td><td valign="top" align="center" rowspan="1" colspan="1">In</td><td valign="top" align="center" rowspan="1" colspan="1">Inv</td><td valign="top" align="center" rowspan="1" colspan="1">Inv</td><td valign="top" align="center" rowspan="1" colspan="1">Inv</td><td valign="top" align="center" rowspan="1" colspan="1">In</td><td valign="top" align="center" rowspan="1" colspan="1">Inv</td><td valign="top" align="center" rowspan="1" colspan="1">26.1</td><td valign="top" align="center" rowspan="1" colspan="1">27.4(U)</td><td valign="top" align="center" rowspan="1" colspan="1">N</td><td valign="top" align="center" rowspan="1" colspan="1">29.8</td><td valign="top" align="center" rowspan="1" colspan="1">N</td><td valign="top" align="center" rowspan="1" colspan="1">N</td><td valign="top" align="center" rowspan="1" colspan="1">In/28.4</td><td valign="top" align="center" rowspan="1" colspan="1">Inv</td><td valign="top" align="center" rowspan="1" colspan="1">Inv</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">17</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">Sputum</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">N</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">26.6</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">N</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">N</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">In</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">Inv</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">Inv</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">Inv</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">In</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">Inv</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">26.8</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">N</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">N</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">30.9</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">N</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">N</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">25.0</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">N</td><td valign="top" align="center" rowspan="1" colspan="1" style="background-color:rgb(238,242,249)">N</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">18</td><td valign="top" align="center" rowspan="1" colspan="1">Sputum</td><td valign="top" align="center" rowspan="1" colspan="1">N</td><td valign="top" align="center" rowspan="1" colspan="1">30.7</td><td valign="top" align="center" rowspan="1" colspan="1">N</td><td valign="top" align="center" rowspan="1" colspan="1">N</td><td valign="top" align="center" rowspan="1" colspan="1">In</td><td valign="top" align="center" rowspan="1" colspan="1">Inv</td><td valign="top" align="center" rowspan="1" colspan="1">Inv</td><td valign="top" align="center" rowspan="1" colspan="1">Inv</td><td valign="top" align="center" rowspan="1" colspan="1">38.8</td><td valign="top" align="center" rowspan="1" colspan="1">N</td><td valign="top" align="center" rowspan="1" colspan="1">26.8</td><td valign="top" align="center" rowspan="1" colspan="1">N</td><td valign="top" align="center" rowspan="1" colspan="1">N</td><td valign="top" align="center" rowspan="1" colspan="1">30.4</td><td valign="top" align="center" rowspan="1" colspan="1">N</td><td valign="top" align="center" rowspan="1" colspan="1">N</td><td valign="top" align="center" rowspan="1" colspan="1">23.3</td><td valign="top" align="center" rowspan="1" colspan="1">N</td><td valign="top" align="center" rowspan="1" colspan="1">N</td></tr></tbody></table></alternatives><table-wrap-foot><fn><p><sup>*</sup>The internal control Ct value was determined using an rRT-PCR reaction for <italic>upE</italic>. However, the internal control Ct values in the rRT-PCR reactions for both <italic>upE</italic> and <italic>ORF1a</italic> were denoted with UltraFast single if one was positive and the other was negative.</p><p>Abbreviations: In, inhibition; Inv, invalid; U, uncertain; other abbreviations are as defined in <xref ref-type="table" rid="T2">Table 2</xref>.</p></fn></table-wrap-foot></table-wrap></floats-group></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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