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@ -12,7 +12,7 @@ To improve the interpretation of the antibiogram before EUCAST rules are applied
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<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.1.9047</small>
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<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.1.9049</small>
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<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
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@ -229,36 +229,12 @@ Leclercq et al. <strong>EUCAST expert rules in antimicrobial susceptibility test
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<div class="section level2">
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<h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
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<p><strong>Note:</strong> This function does not translate MIC values to RSI values. Use <code><a href="as.rsi.html">as.rsi()</a></code> for that. <br><strong>Note:</strong> When ampicillin (AMP, J01CA01) is not available but amoxicillin (AMX, J01CA04) is, the latter will be used for all rules where there is a dependency on ampicillin. These drugs are interchangeable when it comes to expression of antimicrobial resistance. <br></p>
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<p>The file containing all EUCAST rules is located here: <a href="https://github.com/msberends/AMR/blob/main/data-raw/eucast_rules.tsv" class="external-link">https://github.com/msberends/AMR/blob/main/data-raw/eucast_rules.tsv</a>. <strong>Note:</strong> Old taxonomic names are replaced with the current taxonomy where applicable. For example, <em>Ochrobactrum anthropi</em> was renamed to <em>Brucella anthropi</em> in 2020; the original EUCAST rules v3.1 and v3.2 did not yet contain this new taxonomic name. The file used as input for this <code>AMR</code> package contains the taxonomy updated until <a href="catalogue_of_life.html">5 October 2021</a>.</p><div class="section">
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<p>The file containing all EUCAST rules is located here: <a href="https://github.com/msberends/AMR/blob/main/data-raw/eucast_rules.tsv" class="external-link">https://github.com/msberends/AMR/blob/main/data-raw/eucast_rules.tsv</a>. <strong>Note:</strong> Old taxonomic names are replaced with the current taxonomy where applicable. For example, <em>Ochrobactrum anthropi</em> was renamed to <em>Brucella anthropi</em> in 2020; the original EUCAST rules v3.1 and v3.2 did not yet contain this new taxonomic name. The file used as input for this <code>AMR</code> package contains the taxonomy updated until <code><a href="catalogue_of_life.html">r CATALOGUE_OF_LIFE$yearmonth_LPSN</a></code>.</p><div class="section">
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<h3 id="custom-rules">Custom Rules<a class="anchor" aria-label="anchor" href="#custom-rules"></a></h3>
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<p>Custom rules can be created using <code><a href="custom_eucast_rules.html">custom_eucast_rules()</a></code>, e.g.:</p>
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<p></p><div class="sourceCode r"><pre><code><span><span class="va">x</span> <span class="op"><-</span> <span class="fu"><a href="../reference/custom_eucast_rules.html">custom_eucast_rules</a></span><span class="op">(</span><span class="va">AMC</span> <span class="op">==</span> <span class="st">"R"</span> <span class="op">&</span> <span class="va">genus</span> <span class="op">==</span> <span class="st">"Klebsiella"</span> <span class="op">~</span> <span class="va">aminopenicillins</span> <span class="op">==</span> <span class="st">"R"</span>,</span>
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<span> <span class="va">AMC</span> <span class="op">==</span> <span class="st">"I"</span> <span class="op">&</span> <span class="va">genus</span> <span class="op">==</span> <span class="st">"Klebsiella"</span> <span class="op">~</span> <span class="va">aminopenicillins</span> <span class="op">==</span> <span class="st">"I"</span><span class="op">)</span></span>
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<span></span>
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<span><span class="fu"><a href="../reference/eucast_rules.html">eucast_rules</a></span><span class="op">(</span><span class="va">example_isolates</span>, rules <span class="op">=</span> <span class="st">"custom"</span>, custom_rules <span class="op">=</span> <span class="va">x</span>, info <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></span>
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<span><span class="co">#> # A tibble: 2,000 x 46</span></span>
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<span><span class="co">#> date patient age gender ward mo PEN OXA FLC AMX </span></span>
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<span><span class="co">#> * <date> <chr> <dbl> <chr> <chr> <mo> <rsi> <rsi> <rsi> <rsi></span></span>
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<span><span class="co">#> 1 2002-01-02 A77334 65 F Clinical B_ESCHR_COLI R NA NA NA </span></span>
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<span><span class="co">#> 2 2002-01-03 A77334 65 F Clinical B_ESCHR_COLI R NA NA NA </span></span>
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<span><span class="co">#> 3 2002-01-07 067927 45 F ICU B_STPHY_EPDR R NA R NA </span></span>
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<span><span class="co">#> 4 2002-01-07 067927 45 F ICU B_STPHY_EPDR R NA R NA </span></span>
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<span><span class="co">#> 5 2002-01-13 067927 45 F ICU B_STPHY_EPDR R NA R NA </span></span>
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<span><span class="co">#> 6 2002-01-13 067927 45 F ICU B_STPHY_EPDR R NA R NA </span></span>
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<span><span class="co">#> 7 2002-01-14 462729 78 M Clinical B_STPHY_AURS R NA S R </span></span>
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<span><span class="co">#> 8 2002-01-14 462729 78 M Clinical B_STPHY_AURS R NA S R </span></span>
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<span><span class="co">#> 9 2002-01-16 067927 45 F ICU B_STPHY_EPDR R NA R NA </span></span>
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<span><span class="co">#> 10 2002-01-17 858515 79 F ICU B_STPHY_EPDR R NA S NA </span></span>
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<span><span class="co">#> # ... with 1,990 more rows, and 36 more variables: AMC <rsi>, AMP <rsi>,</span></span>
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<span><span class="co">#> # TZP <rsi>, CZO <rsi>, FEP <rsi>, CXM <rsi>, FOX <rsi>, CTX <rsi>,</span></span>
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<span><span class="co">#> # CAZ <rsi>, CRO <rsi>, GEN <rsi>, TOB <rsi>, AMK <rsi>, KAN <rsi>,</span></span>
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<span><span class="co">#> # TMP <rsi>, SXT <rsi>, NIT <rsi>, FOS <rsi>, LNZ <rsi>, CIP <rsi>,</span></span>
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<span><span class="co">#> # MFX <rsi>, VAN <rsi>, TEC <rsi>, TCY <rsi>, TGC <rsi>, DOX <rsi>,</span></span>
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<span><span class="co">#> # ERY <rsi>, CLI <rsi>, AZM <rsi>, IPM <rsi>, MEM <rsi>, MTR <rsi>,</span></span>
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<span><span class="co">#> # CHL <rsi>, COL <rsi>, MUP <rsi>, RIF <rsi></span></span>
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<span><span class="co">#> # i Use `print(n = ...)` to see more rows, and `colnames()` to see all variable names</span></span></code></pre><p></p></div>
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<p></p><div class="sourceCode {r}"><pre><code></code></pre><p></p></div>
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</div>
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<div class="section">
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