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    "textoCompleto" => "<span class="elsevierStyleSections"><p id="para0002" class="elsevierStylePara elsevierViewall">According to the literature&#44; there is insufficient scientific data on the clinical impact&#44; pre-post-analytical barriers&#44; and health-care delivery&#44; regarding the implementation of molecular tests for tuberculosis &#40;TB&#41; diagnosis recommended by World Health Organization &#40;WHO&#41; under field conditions in high burden countries&#46;<a class="elsevierStyleCrossRef" href="#bib0001"><span class="elsevierStyleSup">1</span></a></p><p id="para0003" class="elsevierStylePara elsevierViewall">The molecular test Ultra assay &#40;Xpert Ultra&#59; Cepheid Inc&#46;&#44; Sunnyvale&#44; CA&#44; USA&#41; offers a lower limit of detection for <span class="elsevierStyleItalic">Mycobacterium tuberculosis</span> &#40;MTB&#41;&#44;<a class="elsevierStyleCrossRef" href="#bib0002"><span class="elsevierStyleSup">2</span></a> being particularly important to detect paucibacillary TB presentations - extrapulmonary TB&#44; TB&#47;HIV coinfection and pediatric TB&#46;<a class="elsevierStyleCrossRef" href="#bib0005"><span class="elsevierStyleSup">5</span></a> Also&#44; the test offers a semi-quantitative category of result named &#8220;trace&#8221;&#44; which is considered a concern&#46;</p><p id="para0004" class="elsevierStylePara elsevierViewall">We aimed to evaluate the performance of Ultra under routine conditions in respiratory specimens tested at Thorax Diseases Institute - Federal University of Rio de Janeiro&#44; Brazil&#46; A diagnostic test study using secondary data from the Mycobacterial Laboratory included all spontaneous sputum &#40;SS&#41;&#44; induced sputum &#40;IS&#41; and bronchoalveolar lavage &#40;BAL&#41; submitted to Ultra&#44; smear microscopy and automatized culture&#44; between December 2019 and December 2020 &#40;Ethics Committee approval &#35;01561018&#46;3&#46;0000&#46;5257&#41;&#46; Tests with indeterminate results&#44; contaminated cultures&#44; non-tuberculosis mycobacteria identification and those performed during patient&#39;s follow-up were excluded&#46;</p><p id="para0005" class="elsevierStylePara elsevierViewall">Cases were classified as Confirmed TB &#40;MTB identification on culture&#41;&#44; Non-confirmed TB &#40;clinical&#47;radiological diagnosis&#44; treated and cured&#41; or Not-TB &#40;other diagnosis concluded&#41;&#46; Data for HIV-<span class="elsevierStyleItalic">status</span> were performed searching on https&#58;&#47;&#47;laudo&#46;aids&#46;gov&#46;br&#47;login&#46;</p><p id="para0006" class="elsevierStylePara elsevierViewall">Medcalc&#174; Statistical Software &#40;MedCalc Software Ltd&#44; Ostend&#44; Belgium&#41; was used for statistical analysis&#46;</p><p id="para0007" class="elsevierStylePara elsevierViewall">722 specimens &#40;330 BAL&#44; 260 SS and 132 IS&#41; were analyzed&#44; with 59&#47;105 known HIV status being positive&#46; Ultra&#39;s overall diagnostic sensitivity was 93&#46;5&#37; with a specificity of 91&#46;2&#37;&#46; In smear positive samples&#44; Ultra was 100&#37; sensitive <span class="elsevierStyleItalic">versus</span> 87&#46;6&#37; in smear negative&#46;</p><p id="para0008" class="elsevierStylePara elsevierViewall">For different pulmonary specimens&#44; Ultra was more accurate on BAL &#40;93&#46;6&#37;&#41;&#44; followed by IS and SS &#91;Accuracy &#40;Acc&#41; 90&#46;9&#37; and 89&#46;6&#37;&#44; respectively&#93; &#40;<a class="elsevierStyleCrossRef" href="#tbl0001">Table 1</a>&#41;&#46;</p><elsevierMultimedia ident="tbl0001"></elsevierMultimedia><p id="para0009" class="elsevierStylePara elsevierViewall">The fifty false-positive Ultra results included 13 previous TB cases&#46; In 10&#47;154 TB cases&#44; Ultra lead to false-negative results&#44; and in all of them mycobacterial cultures identified MTB growth&#46;</p><p id="para0010" class="elsevierStylePara elsevierViewall">63&#47;722 respiratory specimens presented trace results&#44; five &#40;7&#46;9&#37;&#41; with confirmed TB and 14 &#40;22&#46;2&#37;&#41; with non-confirmed TB&#46; 10&#47;44 cases classified as not-TB had previous TB &#40;<a class="elsevierStyleCrossRef" href="#fig0001">Fig&#46; 1</a>&#41;&#46; Therefore&#44; Ultra was 93&#46;5&#37; sensitive and 91&#46;2&#37; specific&#46; If trace results were considered as MTB not detected&#44; sensitivity would fall to 81&#46;1&#37; with 98&#46;9&#37; of specificity&#46; Whether the previous history was taken into consideration for classification of trace as MTB not detected and attributed to DNA fragments of non-viable bacilli&#44; sensitivity and specificity would be both 93&#46;5&#37;&#46;</p><elsevierMultimedia ident="fig0001"></elsevierMultimedia><p id="para0011" class="elsevierStylePara elsevierViewall">To the best of our knowledge&#44; this is the first study under routine conditions and in a scenario of high prevalence of TB&#44; as Brazil&#44; that analyzes the performance of Ultra in such a large sample&#44; which turn this letter innovative and informative&#46;</p><p id="para0012" class="elsevierStylePara elsevierViewall">Recently&#44; Xpert&#174; MTB&#47;RIF showed a good performance in different pulmonary specimens&#44; with emphasis in IS &#40;Acc&#61;97&#37;&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0003"><span class="elsevierStyleSup">3</span></a> In the present study&#44; Ultra on IS had a sensitivity of 96&#46;5&#37; and a lower specificity of 89&#46;3&#37;&#44; which is compatible with what the new version proposes&#46; Considering the differences between our sample and Zar&#39;s <span class="elsevierStyleItalic">et al</span>&#44;<a class="elsevierStyleCrossRef" href="#bib0004"><span class="elsevierStyleSup">4</span></a> which addresses a pediatric sample&#44; Ultra also presented a better performance on IS when compared to nasopharyngeal aspirate&#46; Despite our results showing the greater accuracy on BAL&#44; the performance of Ultra on IS deserves to be highlighted&#44; considering the costs and safety of the method&#44; which can be substituted for BAL for TB diagnosis&#46;</p><p id="para0013" class="elsevierStylePara elsevierViewall">For Mazzola and colleagues&#44;<a class="elsevierStyleCrossRef" href="#bib0005"><span class="elsevierStyleSup">5</span></a> Ultra&#39;s proportion of true-positive results exceeds the false-positives&#58; the latter being avoidable in scenarios with a low pretest probability&#46; In our casuistry&#44; considering only the false-positive results attributed to previous TB history&#44; 70&#46;6&#37; presented trace-results&#46;</p><p id="para0014" class="elsevierStylePara elsevierViewall">Independently of HIV-<span class="elsevierStyleItalic">status</span>&#44; trace category increased case detection by 2&#46;1&#37; without significant loss of specificity in the study of Andama <span class="elsevierStyleItalic">et al</span>&#46;<a class="elsevierStyleCrossRef" href="#bib0006"><span class="elsevierStyleSup">6</span></a> In our research&#44; if trace-results were considered negative in all cases&#44; sensitivity would fall to 81&#46;1&#37;&#44; with a higher specificity &#40;98&#46;9&#37;&#41;&#46; The other way&#44; 44 cases would be false-positive&#44; ten with previous TB&#46; Therefore&#44; if the history of previous pulmonary TB had been evaluated&#44; and Ultra trace result considered as MTB not detected in this situation&#44; we would find a balance of both parameters &#40;93&#46;5&#37;&#41;&#46;</p><p id="para0015" class="elsevierStylePara elsevierViewall">In Kendall&#39;s<a class="elsevierStyleCrossRef" href="#bib0007"><span class="elsevierStyleSup">7</span></a> publication&#44; Ultra&#180;s trace results increased overtreatment by more than 50&#37;&#44; nonetheless it avoided 50&#37; of deaths&#46; Therefore&#44; the interpretation of trace results requires a balance between case detection and overtreatment as established by Global Laboratory Initiative of the Stop TB partnership&#46;</p><p id="para0016" class="elsevierStylePara elsevierViewall">Our limitations were mostly attributed to diagnostic test studies conducted in routine conditions&#46; We could not analyze Ultra results according to HIV-<span class="elsevierStyleItalic">status</span> in all specimens and we didn&#39;t have access to all previous TB history&#46;</p><p id="para0017" class="elsevierStylePara elsevierViewall">In conclusion&#44; our study&#44; conducted in a country with a high burden for TB&#44; confirmed Ultra&#39;s good overall performance for pulmonary TB diagnosis&#46; Other studies conducted in different scenarios are needed to confirm the correct interpretation of trace results in this specific tuberculosis presentation&#46;</p><span id="sec0001" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0002">Authors contribution</span><p id="para0018" class="elsevierStylePara elsevierViewall">APS and FCQM&#58; conception and design of the study&#59; APS&#44; GD&#44; JGR&#44; MCFFA&#59; FMR&#58; acquisition of data&#59; APS&#58; analysis and interpretation of data&#44; drafting the article&#59; FM&#44; AK and DRS&#58; revision of the paper for important intellectual content and final approval of the version to be submitted&#46;</p></span></span>"
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        "figura" => array:1 [
          0 => array:4 [
            "imagen" => "gr1.jpeg"
            "Alto" => 1463
            "Ancho" => 2504
            "Tamanyo" => 90969
          ]
        ]
        "detalles" => array:1 [
          0 => array:3 [
            "identificador" => "alt0002"
            "detalle" => "Fig "
            "rol" => "short"
          ]
        ]
        "descripcion" => array:1 [
          "en" => "<p id="spara001" class="elsevierStyleSimplePara elsevierViewall">Trace results in absolute numbers according to the HIV and TB status &#40;n&#160;&#61;&#160;63&#41;&#46;</p>"
        ]
      ]
      1 => array:8 [
        "identificador" => "tbl0001"
        "etiqueta" => "Table 1"
        "tipo" => "MULTIMEDIATABLA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "detalles" => array:1 [
          0 => array:3 [
            "identificador" => "alt0001"
            "detalle" => "Table "
            "rol" => "short"
          ]
        ]
        "tabla" => array:2 [
          "leyenda" => "<p id="spara003" class="elsevierStyleSimplePara elsevierViewall">Legend&#58; TB &#8211; Tuberculosis&#59; MTB &#8211; <span class="elsevierStyleItalic">Mycobacterium tuberculosis</span>&#59; Se &#8211; Sensitivity&#59; Sp &#8211; Specificity&#59; PPV &#8211; Positive predictive value&#59; NPV &#8211; Negative predictive value&#59; PLR &#8211; Positive likelihood ratio&#59; NLR &#8211; Negative likelihood ratio&#59; Acc &#8211; Accuracy</p>"
          "tablatextoimagen" => array:1 [
            0 => array:2 [
              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><a name="en0001"></a><th class="td-with-role" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t ; entry_with_role_rowgroup " rowspan="3" align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Respiratory Specimen</th><a name="en0002"></a><th class="td-with-role" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t ; entry_with_role_rowgroup " rowspan="3" align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Ultra Results</th><a name="en0003"></a><th class="td-with-role" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t ; entry_with_role_colgroup " colspan="4" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">TB Diagnosis</th><a name="en0004"></a><th class="td-with-role" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t ; entry_with_role_colgroup " colspan="7" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Xpert&#174; Ultra MTB&#47;RIF performance</th></tr><tr title="table-row"><a name="en0007"></a><th class="td-with-role" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t ; entry_with_role_colgroup " colspan="2" align="left" valign="top" scope="col">Not TB</th><a name="en0008"></a><th class="td-with-role" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t ; entry_with_role_colgroup " colspan="2" align="left" valign="top" scope="col">TBN &#40;&#37;&#41;</th><a name="en0009"></a><th class="td-with-role" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Se</th><a name="en0010"></a><th class="td-with-role" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Sp</th><a name="en0011"></a><th class="td-with-role" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top" scope="col" style="border-bottom: 2px solid black">PPV</th><a name="en0012"></a><th class="td-with-role" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top" scope="col" style="border-bottom: 2px solid black">PLR</th><a name="en0013"></a><th class="td-with-role" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top" scope="col" style="border-bottom: 2px solid black">NPV</th><a name="en0014"></a><th class="td-with-role" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top" scope="col" style="border-bottom: 2px solid black">NLR</th><a name="en0015"></a><th class="td-with-role" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Acc</th></tr><tr title="table-row"><a name="en0018"></a><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Previous TBN &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><a name="en0019"></a><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">No TBN &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><a name="en0020"></a><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Non Confirmed TBN &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><a name="en0021"></a><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Confirmed TBN &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><a name="en0029"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowgroup " rowspan="4" align="left" valign="top">Spontaneous Sputum</td><a name="en0030"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">MTB not detected</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0031"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0032"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">149 &#40;90&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0033"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0034"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">5 &#40;6&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0035"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowgroup " rowspan="4" align="left" valign="top">94&#46;4 &#40;87&#46;4-98&#46;1&#41;</td><a name="en0036"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowgroup " rowspan="4" align="left" valign="top">87&#46;1 &#40;81&#46;2-91&#46;8</td><a name="en0037"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowgroup " rowspan="4" align="left" valign="top">79&#46;2 &#40;72&#46;0-85&#46;0</td><a name="en0038"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowgroup " rowspan="4" align="left" valign="top">7&#46;34 &#40;4&#46;95-10&#46;87&#41;</td><a name="en0039"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowgroup " rowspan="4" align="left" valign="top">96&#46;7 &#40;92&#46;7-98&#46;6&#41;</td><a name="en0040"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowgroup " rowspan="4" align="left" valign="top">0&#46;06 &#40;0&#46;03-0&#46;15&#41;</td><a name="en0041"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowgroup " rowspan="4" align="left" valign="top">89&#46;6 &#40;85&#46;2-93&#46;0&#41;</td></tr><tr title="table-row"><a name="en0043"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">MTB detected</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0044"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">3 &#40;42&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0045"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">2 &#40;1&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0046"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">5 &#40;55&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0047"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">74 &#40;92&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0056"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">Trace</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0057"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">4 &#40;57&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0058"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">13 &#40;7&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0059"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">4 &#40;44&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0060"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">1 &#40;1&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0069"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">Total</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0070"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">7 &#40;100&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0071"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">164 &#40;100&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0072"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">9 &#40;100&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0073"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">80 &#40;100&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0003a"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_colgroup " colspan="13" align="left" valign="top" style="border-bottom: 2px solid black"></td></tr><tr title="table-row"><a name="en0081"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowgroup " rowspan="4" align="left" valign="top">Induced Sputum</td><a name="en0082"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">MTB not detected</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0083"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0084"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">92 &#40;93&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0085"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0086"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">1 &#40;5&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0087"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowgroup " rowspan="4" align="left" valign="top">96&#46;5 &#40;82&#46;2-99&#46;9&#41;</td><a name="en0088"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowgroup " rowspan="4" align="left" valign="top">89&#46;3 &#40;81&#46;7-94&#46;5&#41;</td><a name="en0089"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowgroup " rowspan="4" align="left" valign="top">71&#46;8 &#40;59&#46;2-81&#46;7&#41;</td><a name="en0090"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowgroup " rowspan="4" align="left" valign="top">9&#46;04 &#40;5&#46;15-15&#46;87&#41;</td><a name="en0091"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowgroup " rowspan="4" align="left" valign="top">98&#46;9 &#40;93&#46;0-99&#46;8&#41;</td><a name="en0092"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowgroup " rowspan="4" align="left" valign="top">0&#46;04 &#40;0&#46;01-0&#46;27&#41;</td><a name="en0093"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowgroup " rowspan="4" align="left" valign="top">90&#46;9 &#40;84&#46;7-95&#46;2&#41;</td></tr><tr title="table-row"><a name="en0095"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">MTB detected</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0096"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0097"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0098"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">4 &#40;40&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0099"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">16 &#40;84&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0108"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">Trace</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0109"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">5 &#40;100&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0110"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">6 &#40;6&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0111"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">6 &#40;60&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0112"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">2 &#40;10&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0121"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">Total</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0122"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">5 &#40;100&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0123"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">98 &#40;100&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0124"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">10 &#40;100&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0125"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">19 &#40;100&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0003b"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_colgroup " colspan="13" align="left" valign="top" style="border-bottom: 2px solid black"></td></tr><tr title="table-row"><a name="en0133"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowgroup " rowspan="4" align="left" valign="top">Bronchoalveolar Lavage</td><a name="en0134"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">MTB not detected</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0135"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0136"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">277 &#40;94&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0137"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0138"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">4 &#40;13&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0139"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowgroup " rowspan="4" align="left" valign="top">88&#46;9 &#40;73&#46;9-96&#46;9&#41;</td><a name="en0140"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowgroup " rowspan="4" align="left" valign="top">94&#46;2 &#40;90&#46;9-96&#46;6&#41;</td><a name="en0141"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowgroup " rowspan="4" align="left" valign="top">65&#46;3 &#40;53&#46;9-75&#46;2&#41;</td><a name="en0142"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowgroup " rowspan="4" align="left" valign="top">15&#46;37 &#40;9&#46;55-24&#46;74&#41;</td><a name="en0143"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowgroup " rowspan="4" align="left" valign="top">98&#46;6 &#40;96&#46;5-99&#46;4&#41;</td><a name="en0144"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowgroup " rowspan="4" align="left" valign="top">0&#46;12 &#40;0&#46;05-0&#46;30&#41;</td><a name="en0145"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowgroup " rowspan="4" align="left" valign="top">93&#46;6 &#40;90&#46;4-96&#46;0&#41;</td></tr><tr title="table-row"><a name="en0147"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">MTB detected</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0148"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0149"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">1 &#40;0&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0150"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">2 &#40;33&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0151"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">24 &#40;80&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0160"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">Trace</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0161"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">1 &#40;100&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0162"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">15 &#40;5&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0163"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">4 &#40;66&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0164"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">2 &#40;6&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0173"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">Total</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0174"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">1 &#40;100&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0175"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">293 &#40;100&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0176"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">6 &#40;100&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0177"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">30 &#40;100&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0003c"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_colgroup " colspan="13" align="left" valign="top" style="border-bottom: 2px solid black"></td></tr><tr title="table-row"><a name="en0185"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowgroup " rowspan="4" align="left" valign="top">Total</td><a name="en0186"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">MTB not detected</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0187"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0188"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">518 &#40;93&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0189"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0190"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">10 &#40;7&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0191"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowgroup " rowspan="4" align="left" valign="top">93&#46;5 &#40;88&#46;4-96&#46;8&#41;</td><a name="en0192"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowgroup " rowspan="4" align="left" valign="top">91&#46;2 &#40;88&#46;6-93&#46;4&#41;</td><a name="en0193"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowgroup " rowspan="4" align="left" valign="top">74&#46;2 &#40;68&#46;8-79&#46;0&#41;</td><a name="en0194"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowgroup " rowspan="4" align="left" valign="top">10&#46;62 &#40;8&#46;13-13&#46;89&#41;</td><a name="en0195"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowgroup " rowspan="4" align="left" valign="top">98&#46;1 &#40;96&#46;6-98&#46;9&#41;</td><a name="en0196"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowgroup " rowspan="4" align="left" valign="top">0&#46;07 &#40;0&#46;04-0&#46;13&#41;</td><a name="en0197"></a><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowgroup " rowspan="4" align="left" valign="top">91&#46;7 &#40;89&#46;4-93&#46;6&#41;</td></tr><tr title="table-row"><a name="en0199"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">MTB detected</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0200"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">3 &#40;23&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0201"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">3 &#40;0&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0202"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">11 &#40;44&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0203"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">114 &#40;88&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0212"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">Trace</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0213"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">10 &#40;76&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0214"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">34 &#40;6&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0215"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">14 &#40;56&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0216"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">5 &#40;3&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0225"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">Total</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0226"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">13 &#40;100&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0227"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">555 &#40;100&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0228"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">25 &#40;100&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0229"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">129 &#40;100&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
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        "descripcion" => array:1 [
          "en" => "<p id="spara002" class="elsevierStyleSimplePara elsevierViewall">Ultra performance according to the different respiratory specimens&#46;</p>"
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                0 => array:2 [
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                    0 => array:2 [
                      "titulo" => "Development&#44; roll-out and impact of Xpert MTB&#47;RIF for tuberculosis&#58; what lessons have we learnt and how can we do better&#63;"
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                        0 => array:2 [
                          "etal" => true
                          "autores" => array:3 [
                            0 => "H Albert"
                            1 => "RR Nathavitharana"
                            2 => "C Isaacs"
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                    0 => array:2 [
                      "doi" => "10.1183/13993003.00543-2016"
                      "Revista" => array:7 [
                        "tituloSerie" => "Eur Respir J"
                        "fecha" => "2016"
                        "volumen" => "48"
                        "numero" => "2"
                        "paginaInicial" => "516"
                        "paginaFinal" => "525"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/27418550"
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                    0 => array:2 [
                      "titulo" => "Xpert MTB&#47;RIF Ultra for detection of Mycobacterium tuberculosis and rifampicin resistance&#58; a prospective multicentre diagnostic accuracy study"
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                        0 => array:2 [
                          "etal" => true
                          "autores" => array:3 [
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                            1 => "SG Schumacher"
                            2 => "D Alland"
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                    0 => array:2 [
                      "doi" => "10.1016/S1473-3099(17)30691-6"
                      "Revista" => array:7 [
                        "tituloSerie" => "Lancet Infect Dis"
                        "fecha" => "2018"
                        "volumen" => "18"
                        "numero" => "1"
                        "paginaInicial" => "76"
                        "paginaFinal" => "84"
                        "link" => array:1 [
                          0 => array:2 [
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                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Molecular diagnosis of pulmonary tuberculosis using different respiratory specimens&#58; The spotlight of induced sputum"
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                        0 => array:2 [
                          "etal" => false
                          "autores" => array:4 [
                            0 => "LS Andrade"
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                            2 => "AP Santos"
                            3 => "FCQ Mello"
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                    0 => array:2 [
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                          "autores" => array:3 [
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                        "paginaFinal" => "1538"
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                          "autores" => array:3 [
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                          "autores" => array:3 [
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                          "autores" => array:3 [
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Vol. 30. Issue 1.
Pages 75-77 (January - February 2024)
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Vol. 30. Issue 1.
Pages 75-77 (January - February 2024)
Letter to the Editor
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Clinical impact of Xpert® MTB/RIF Ultra for pulmonary TB diagnosis under routine conditions in a reference center in Brazil
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A.P. Santosa,
Corresponding author
anapsantos@idt.ufrj.br

Corresponding author at: Prof. Rodolpho Paulo Rocco, 255 - Sala 01D 58/60, Cidade Universitária da Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ 21941-913, Brazil.
, D.R. Silvab, G. Delazarea, J.G. Rodriguesa, M.C.F.F. de Aguiara, F.M. Romanoa, A. Kritskia, F.C.Q. Melloa
a Thorax Disease Institute – Federal University of Rio de Janeiro, Rua Prof. Rodolpho Paulo Rocco, 255 - Sala 01D 58/60, Cidade Universitária da Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ 21941-913, Brazil
b Medical School - Federal University of Rio Grande do Sul, Rua Ramiro Barcelos, 2350 - Santa Cecília, Porto Alegre, RS 90035-903, Brazil
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Table 1. Ultra performance according to the different respiratory specimens.
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Dear Editor,

According to the literature, there is insufficient scientific data on the clinical impact, pre-post-analytical barriers, and health-care delivery, regarding the implementation of molecular tests for tuberculosis (TB) diagnosis recommended by World Health Organization (WHO) under field conditions in high burden countries.1

The molecular test Ultra assay (Xpert Ultra; Cepheid Inc., Sunnyvale, CA, USA) offers a lower limit of detection for Mycobacterium tuberculosis (MTB),2 being particularly important to detect paucibacillary TB presentations - extrapulmonary TB, TB/HIV coinfection and pediatric TB.5 Also, the test offers a semi-quantitative category of result named “trace”, which is considered a concern.

We aimed to evaluate the performance of Ultra under routine conditions in respiratory specimens tested at Thorax Diseases Institute - Federal University of Rio de Janeiro, Brazil. A diagnostic test study using secondary data from the Mycobacterial Laboratory included all spontaneous sputum (SS), induced sputum (IS) and bronchoalveolar lavage (BAL) submitted to Ultra, smear microscopy and automatized culture, between December 2019 and December 2020 (Ethics Committee approval #01561018.3.0000.5257). Tests with indeterminate results, contaminated cultures, non-tuberculosis mycobacteria identification and those performed during patient's follow-up were excluded.

Cases were classified as Confirmed TB (MTB identification on culture), Non-confirmed TB (clinical/radiological diagnosis, treated and cured) or Not-TB (other diagnosis concluded). Data for HIV-status were performed searching on https://laudo.aids.gov.br/login.

Medcalc® Statistical Software (MedCalc Software Ltd, Ostend, Belgium) was used for statistical analysis.

722 specimens (330 BAL, 260 SS and 132 IS) were analyzed, with 59/105 known HIV status being positive. Ultra's overall diagnostic sensitivity was 93.5% with a specificity of 91.2%. In smear positive samples, Ultra was 100% sensitive versus 87.6% in smear negative.

For different pulmonary specimens, Ultra was more accurate on BAL (93.6%), followed by IS and SS [Accuracy (Acc) 90.9% and 89.6%, respectively] (Table 1).

Table 1.

Ultra performance according to the different respiratory specimens.

Respiratory SpecimenUltra ResultsTB DiagnosisXpert® Ultra MTB/RIF performance
Not TBTBN (%)SeSpPPVPLRNPVNLRAcc
Previous TBN (%)  No TBN (%)  Non Confirmed TBN (%)  Confirmed TBN (%) 
Spontaneous SputumMTB not detected  149 (90.9)  5 (6.3)  94.4 (87.4-98.1)87.1 (81.2-91.879.2 (72.0-85.07.34 (4.95-10.87)96.7 (92.7-98.6)0.06 (0.03-0.15)89.6 (85.2-93.0)
MTB detected  3 (42.9)  2 (1.2)  5 (55.6)  74 (92.5) 
Trace  4 (57.1)  13 (7.9)  4 (44.4)  1 (1.3) 
Total  7 (100)  164 (100)  9 (100)  80 (100 
Induced SputumMTB not detected  92 (93.9)  1 (5.3)  96.5 (82.2-99.9)89.3 (81.7-94.5)71.8 (59.2-81.7)9.04 (5.15-15.87)98.9 (93.0-99.8)0.04 (0.01-0.27)90.9 (84.7-95.2)
MTB detected  4 (40)  16 (84.2) 
Trace  5 (100)  6 (6.1)  6 (60)  2 (10.5) 
Total  5 (100)  98 (100)  10 (100)  19 (100) 
Bronchoalveolar LavageMTB not detected  277 (94.5)  4 (13.3)  88.9 (73.9-96.9)94.2 (90.9-96.6)65.3 (53.9-75.2)15.37 (9.55-24.74)98.6 (96.5-99.4)0.12 (0.05-0.30)93.6 (90.4-96.0)
MTB detected  1 (0.3)  2 (33.3)  24 (80) 
Trace  1 (100)  15 (5.1)  4 (66.7)  2 (6.7) 
Total  1 (100)  293 (100)  6 (100)  30 (100) 
TotalMTB not detected  518 (93.3)  10 (7.8)  93.5 (88.4-96.8)91.2 (88.6-93.4)74.2 (68.8-79.0)10.62 (8.13-13.89)98.1 (96.6-98.9)0.07 (0.04-0.13)91.7 (89.4-93.6)
MTB detected  3 (23.1)  3 (0.5)  11 (44)  114 (88.4) 
Trace  10 (76.9)  34 (6.1)  14 (56)  5 (3.9) 
Total  13 (100)  555 (100)  25 (100)  129 (100) 

Legend: TB – Tuberculosis; MTB – Mycobacterium tuberculosis; Se – Sensitivity; Sp – Specificity; PPV – Positive predictive value; NPV – Negative predictive value; PLR – Positive likelihood ratio; NLR – Negative likelihood ratio; Acc – Accuracy

The fifty false-positive Ultra results included 13 previous TB cases. In 10/154 TB cases, Ultra lead to false-negative results, and in all of them mycobacterial cultures identified MTB growth.

63/722 respiratory specimens presented trace results, five (7.9%) with confirmed TB and 14 (22.2%) with non-confirmed TB. 10/44 cases classified as not-TB had previous TB (Fig. 1). Therefore, Ultra was 93.5% sensitive and 91.2% specific. If trace results were considered as MTB not detected, sensitivity would fall to 81.1% with 98.9% of specificity. Whether the previous history was taken into consideration for classification of trace as MTB not detected and attributed to DNA fragments of non-viable bacilli, sensitivity and specificity would be both 93.5%.

Fig. 1.

Trace results in absolute numbers according to the HIV and TB status (n = 63).

(0.09MB).

To the best of our knowledge, this is the first study under routine conditions and in a scenario of high prevalence of TB, as Brazil, that analyzes the performance of Ultra in such a large sample, which turn this letter innovative and informative.

Recently, Xpert® MTB/RIF showed a good performance in different pulmonary specimens, with emphasis in IS (Acc=97%).3 In the present study, Ultra on IS had a sensitivity of 96.5% and a lower specificity of 89.3%, which is compatible with what the new version proposes. Considering the differences between our sample and Zar's et al,4 which addresses a pediatric sample, Ultra also presented a better performance on IS when compared to nasopharyngeal aspirate. Despite our results showing the greater accuracy on BAL, the performance of Ultra on IS deserves to be highlighted, considering the costs and safety of the method, which can be substituted for BAL for TB diagnosis.

For Mazzola and colleagues,5 Ultra's proportion of true-positive results exceeds the false-positives: the latter being avoidable in scenarios with a low pretest probability. In our casuistry, considering only the false-positive results attributed to previous TB history, 70.6% presented trace-results.

Independently of HIV-status, trace category increased case detection by 2.1% without significant loss of specificity in the study of Andama et al.6 In our research, if trace-results were considered negative in all cases, sensitivity would fall to 81.1%, with a higher specificity (98.9%). The other way, 44 cases would be false-positive, ten with previous TB. Therefore, if the history of previous pulmonary TB had been evaluated, and Ultra trace result considered as MTB not detected in this situation, we would find a balance of both parameters (93.5%).

In Kendall's7 publication, Ultra´s trace results increased overtreatment by more than 50%, nonetheless it avoided 50% of deaths. Therefore, the interpretation of trace results requires a balance between case detection and overtreatment as established by Global Laboratory Initiative of the Stop TB partnership.

Our limitations were mostly attributed to diagnostic test studies conducted in routine conditions. We could not analyze Ultra results according to HIV-status in all specimens and we didn't have access to all previous TB history.

In conclusion, our study, conducted in a country with a high burden for TB, confirmed Ultra's good overall performance for pulmonary TB diagnosis. Other studies conducted in different scenarios are needed to confirm the correct interpretation of trace results in this specific tuberculosis presentation.

Authors contribution

APS and FCQM: conception and design of the study; APS, GD, JGR, MCFFA; FMR: acquisition of data; APS: analysis and interpretation of data, drafting the article; FM, AK and DRS: revision of the paper for important intellectual content and final approval of the version to be submitted.

References
[1]
H Albert, RR Nathavitharana, C Isaacs, et al.
Development, roll-out and impact of Xpert MTB/RIF for tuberculosis: what lessons have we learnt and how can we do better?.
Eur Respir J, 48 (2016), pp. 516-525
[2]
SE Dorman, SG Schumacher, D Alland, et al.
Xpert MTB/RIF Ultra for detection of Mycobacterium tuberculosis and rifampicin resistance: a prospective multicentre diagnostic accuracy study.
Lancet Infect Dis, 18 (2018), pp. 76-84
[3]
LS Andrade, DR Silva, AP Santos, FCQ Mello.
Molecular diagnosis of pulmonary tuberculosis using different respiratory specimens: The spotlight of induced sputum.
Pulmonology, 28 (2022), pp. 134-136
[4]
HJ Zar, LJ Workman, M Prins, et al.
Tuberculosis diagnosis in children using Xpert Ultra on different respiratory specimens.
Am J Respir Crit Care Med, 200 (2019), pp. 1531-1538
[5]
E Mazzola, PD Monte, C Piersimoni, et al.
Multicenter evaluation of Xpert MTB/RIF Ultra tests reporting detection of “Trace” of Mycobacterium tuberculosis DNA.
Int J Mycobacteriol, 10 (2021), pp. 101-103
[6]
A Andama, D Jaganath, R Crowder, et al.
The transition to Xpert MTB/RIF Ultra: diagnostic accuracy for pulmonary tuberculosis in Kampala, Uganda.
BMC Infect Dis, 21 (2021), pp. 49
[7]
EA Kendall, SG Schumacher, CM Denkinger, et al.
Estimated clinical impact of the Xpert MTB/RIF Ultra cartridge for diagnosis of pulmonary tuberculosis: a modeling study.
Copyright © 2023. Sociedade Portuguesa de Pneumologia
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