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(v.1.5.0.9000) implementation of EUCAST rules v11 (2021)
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<title>Data Set with Treatment Dosages as Defined by EUCAST — dosage • AMR (for R)</title>
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<meta property="og:title" content="Data Set with Treatment Dosages as Defined by EUCAST — dosage" />
(v.1.5.0.9000) implementation of EUCAST rules v11 (2021)
2021-01-12 22:08:04 +01:00
<meta property="og:description" content="EUCAST breakpoints used in this package are based on the dosages in this data set. They can be retrieved with eucast_dosage()." />
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<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9011</span>
(v.1.5.0.9000) implementation of EUCAST rules v11 (2021)
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(v1.5.0.9006) major documentation update
2021-01-18 16:57:56 +01:00
<h1>Data Set with Treatment Dosages as Defined by EUCAST</h1>
(v.1.5.0.9000) implementation of EUCAST rules v11 (2021)
2021-01-12 22:08:04 +01:00
<small class="dont-index">Source: <a href='https://github.com/msberends/AMR/blob/master/R/data.R'><code>R/data.R</code></a></small>
<div class="hidden name"><code>dosage.Rd</code></div>
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<div class="ref-description">
<p>EUCAST breakpoints used in this package are based on the dosages in this data set. They can be retrieved with <code><a href='eucast_rules.html'>eucast_dosage()</a></code>.</p>
</div>
<pre class="usage"><span class='va'>dosage</span></pre>
<h2 class="hasAnchor" id="format"><a class="anchor" href="#format"></a>Format</h2>
(v1.5.0.9011) small dosage update
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<p>A <a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a> with 169 observations and 9 variables:</p><ul>
(v.1.5.0.9000) implementation of EUCAST rules v11 (2021)
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<li><p><code>ab</code><br /> Antibiotic ID as used in this package (such as <code>AMC</code>), using the official EARS-Net (European Antimicrobial Resistance Surveillance Network) codes where available</p></li>
<li><p><code>name</code><br /> Official name of the antimicrobial agent as used by WHONET/EARS-Net or the WHO</p></li>
<li><p><code>type</code><br /> Type of the dosage, either "high_dosage", "standard_dosage" or "uncomplicated_uti"</p></li>
<li><p><code>dose</code><br /> Dose, such as "2 g" or "25 mg/kg"</p></li>
(v1.5.0.9001) more informative argument errors
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<li><p><code>dose_times</code><br /> Number of times a dose must be administered</p></li>
(v.1.5.0.9000) implementation of EUCAST rules v11 (2021)
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<li><p><code>administration</code><br /> Route of administration, either "im", "iv" or "oral"</p></li>
<li><p><code>notes</code><br /> Additional dosage notes</p></li>
<li><p><code>original_txt</code><br /> Original text in the PDF file of EUCAST</p></li>
<li><p><code>eucast_version</code><br /> Version number of the EUCAST Clinical Breakpoints guideline to which these dosages apply</p></li>
</ul>
<h2 class="hasAnchor" id="details"><a class="anchor" href="#details"></a>Details</h2>
<p><a href='https://www.eucast.org/clinical_breakpoints/'>'EUCAST Clinical Breakpoint Tables' v11.0</a> (2021) are based on the dosages in this data set.</p>
(v1.5.0.9006) major documentation update
2021-01-18 16:57:56 +01:00
<h2 class="hasAnchor" id="reference-data-publicly-available"><a class="anchor" href="#reference-data-publicly-available"></a>Reference Data Publicly Available</h2>
(v.1.5.0.9000) implementation of EUCAST rules v11 (2021)
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<p>All reference data sets (about microorganisms, antibiotics, R/SI interpretation, EUCAST rules, etc.) in this <code>AMR</code> package are publicly and freely available. We continually export our data sets to formats for use in R, SPSS, SAS, Stata and Excel. We also supply flat files that are machine-readable and suitable for input in any software program, such as laboratory information systems. Please find <a href='https://msberends.github.io/AMR/articles/datasets.html'>all download links on our website</a>, which is automatically updated with every code change.</p>
(v1.5.0.9006) major documentation update
2021-01-18 16:57:56 +01:00
<h2 class="hasAnchor" id="read-more-on-our-website-"><a class="anchor" href="#read-more-on-our-website-"></a>Read more on Our Website!</h2>
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<p>On our website <a href='https://msberends.github.io/AMR/'>https://msberends.github.io/AMR/</a> you can find <a href='https://msberends.github.io/AMR/articles/AMR.html'>a comprehensive tutorial</a> about how to conduct AMR analysis, the <a href='https://msberends.github.io/AMR/reference/'>complete documentation of all functions</a> and <a href='https://msberends.github.io/AMR/articles/WHONET.html'>an example analysis using WHONET data</a>. As we would like to better understand the backgrounds and needs of our users, please <a href='https://msberends.github.io/AMR/survey.html'>participate in our survey</a>!</p>
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