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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
<issn pub-type="epub">1663-9812</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1377930</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2024.1377930</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pharmacology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Factors influencing vancomycin trough concentration in burn patients: a single center retrospective study</article-title>
<alt-title alt-title-type="left-running-head">Shi et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fphar.2024.1377930">10.3389/fphar.2024.1377930</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Shi</surname>
<given-names>Yan</given-names>
</name>
<xref ref-type="author-notes" rid="fn001">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2871445/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Yin</surname>
<given-names>Zongqi</given-names>
</name>
<xref ref-type="author-notes" rid="fn001">
<sup>&#x2020;</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Qin</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Yi</surname>
<given-names>Lei</given-names>
</name>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/301361/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Dou</surname>
<given-names>Yi</given-names>
</name>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/407478/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
</contrib>
</contrib-group>
<aff>
<institution>Department of Burn</institution>, <institution>Ruijin Hospital</institution>, <institution>Shanghai Jiaotong University School of Medicine</institution>, <addr-line>Shanghai</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1337573/overview">Amedeo De Nicol&#xf2;</ext-link>, University of Turin, Italy</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1154853/overview">Wasan Katip</ext-link>, Chiang Mai University, Thailand</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1993572/overview">Yanli Hou</ext-link>, The Second Affiliated Hospital of Xi&#x2019;an Jiaotong University, China</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Yi Dou, <email>douyi815@hotmail.com</email>; Lei Yi, <email>yilei707@icloud.com</email>
</corresp>
<fn fn-type="equal" id="fn001">
<label>
<sup>&#x2020;</sup>
</label>
<p>These authors have contributed equally to this work</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>12</day>
<month>12</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>15</volume>
<elocation-id>1377930</elocation-id>
<history>
<date date-type="received">
<day>28</day>
<month>01</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>28</day>
<month>11</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Shi, Yin, Zhang, Yi and Dou.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Shi, Yin, Zhang, Yi and Dou</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Objective</title>
<p>To analyze factors influencing the vancomycin trough concentration in burn patients to provide a basis for the more rational use of vancomycin in these patients.</p>
</sec>
<sec>
<title>Materials and methods</title>
<p>We collected the clinical data of adult burn patients treated with vancomycin in a Chinese hospital. Vancomycin was administered at a dosing regimen of 1.0&#xa0;g q12&#xa0;h. Patients were divided into a therapeutic group with vancomycin trough concentration in the target therapeutic range (10&#x2013;20&#xa0;&#x3bc;g/mL) and a subtherapeutic group with vancomycin trough concentration in the subtherapeutic range (&#x3c;10&#xa0;&#x3bc;g/mL).</p>
</sec>
<sec>
<title>Results</title>
<p>The therapeutic group included 14 patients (17.5%), with an average trough concentration of 14.36 &#xb1; 2.82&#xa0;&#x3bc;g/mL; the subtherapeutic group included 66 patients (82.5%), with an average trough concentration of 5.18 &#xb1; 2.77&#xa0;&#x3bc;g/mL. The serum creatinine level was significantly higher in the therapeutic group (84.93 &#xb1; 47.26&#xa0;&#x3bc;mol/L) than that in the subtherapeutic group (62.44 &#xb1; 14.49&#xa0;&#x3bc;mol/L) (<italic>p</italic> &#x3c; 0.01). Serum albumin levels were significantly lower in the therapeutic group (30.50 &#xb1; 2.28&#xa0;g/L) than those in the subtherapeutic group (34.00 &#xb1; 6.22&#xa0;g/L) (<italic>p</italic> &#x3c; 0.05). Using receiver operating characteristic (ROC) curve analysis, for serum albumin, the area under the ROC curve (AUC) (95% confidence interval [CI]) was 0.67 (0.553, 0.788); the optimal cut-off point was 34.50&#xa0;g/L (<italic>p</italic> &#x3d; 0.046), the sensitivity was 0.379, and the specificity was 1.0. For creatinine clearance, the AUC (95% CI) was 0.72 (0.537, 0.902); the optimal cut-off point was 76.64&#xa0;mL/min (<italic>p</italic> &#x3d; 0.01), the sensitivity was 0.985, and the specificity was 0.5. The linear stepwise regression equation was as follows: trough concentration &#x3d; 0.14 &#xd7; age &#x2b; 0.071 &#xd7; serum creatinine &#x2212;4.196.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>In this study, a high proportion of burn patients had a vancomycin trough concentration below the standard range. Serum creatinine clearance and albumin levels are important indicators for predicting whether the vancomycin trough concentration is within the standard range. Using a linear stepwise regression equation, the vancomycin trough concentration can be estimated using the patient&#x2019;s age and serum creatinine level.</p>
</sec>
</abstract>
<kwd-group>
<kwd>vancomycin</kwd>
<kwd>trough concentration</kwd>
<kwd>burns</kwd>
<kwd>creatinine clearance</kwd>
<kwd>serum albumin</kwd>
</kwd-group>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Pharmacology of Infectious Diseases</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>Infection is an important cause of death in burn patients (<xref ref-type="bibr" rid="B17">Greenhalgh et al., 2007</xref>). The increased infection risk in patients with burn injury can be attributed to a variety of risk factors, including immune deficiency, loss of barrier function of the skin, bacterial translocation from the gastrointestinal tract, prolonged hospitalization, multiple invasive surgeries, prolonged intubation time, central venous catheter placement, and urinary catheter placement (<xref ref-type="bibr" rid="B5">Carter et al., 2015</xref>). <italic>Staphylococcus aureus</italic> is one of the leading bacterial causes of infection in burn patients (<xref ref-type="bibr" rid="B12">Dou et al., 2017</xref>). Vancomycin is a first-line drug for the treatment of <italic>S. aureus</italic>, especially methicillin-resistant <italic>S. aureus</italic> (<xref ref-type="bibr" rid="B3">Ayuthaya et al., 2020</xref>), and is widely used in clinical practice. However, the therapeutic window of vancomycin is narrow. A low vancomycin concentration can lead to treatment failure and the development of drug-resistant strains, and a high vancomycin concentration can increase the incidence of adverse reactions such as nephrotoxicity (<xref ref-type="bibr" rid="B15">Elyasi et al., 2012</xref>; <xref ref-type="bibr" rid="B43">Udy et al., 2011</xref>; <xref ref-type="bibr" rid="B7">Chu et al., 2016</xref>; <xref ref-type="bibr" rid="B2">&#xc1;lvarez et al., 2017</xref>). Therefore, by assessing the pharmacokinetic/pharmacodynamic (PK/PD) parameters (steady-state blood trough concentration or AUC24) of vancomycin in patients (<xref ref-type="bibr" rid="B19">He et al., 2020</xref>), therapeutic drug monitoring of vancomycin can ensure that patients are being treated with the recommended and effective drug concentrations (<xref ref-type="bibr" rid="B47">Zhi-Kang et al., 2013</xref>; <xref ref-type="bibr" rid="B31">Nham et al., 2022</xref>; <xref ref-type="bibr" rid="B6">Chu et al., 2019</xref>). However, owing to unique pathophysiological changes in burn patients (<xref ref-type="bibr" rid="B32">Ortwine et al., 1900</xref>; <xref ref-type="bibr" rid="B46">Wu et al., 2017</xref>), the proportion of patients with a blood vancomycin concentration that reaches the target level is low (<xref ref-type="bibr" rid="B39">Schlobohm et al., 2021</xref>; <xref ref-type="bibr" rid="B5">Carter et al., 2015</xref>; <xref ref-type="bibr" rid="B14">Elligsen et al., 2011</xref>), and a high dose is often needed to achieve an effective drug concentration (<xref ref-type="bibr" rid="B13">Elder et al., 2017</xref>; <xref ref-type="bibr" rid="B21">Hill et al., 2018</xref>). There are numerous PK/PD studies on vancomycin for patients with other diseases (<xref ref-type="bibr" rid="B1">Aljutayli et al., 2020</xref>). However, owing to the differing pathological and physiological states in burn patients (<xref ref-type="bibr" rid="B32">Ortwine et al., 1900</xref>; <xref ref-type="bibr" rid="B46">Wu et al., 2017</xref>), including skin barrier loss, burn shock, tissue edema, high metabolic status, and high urine output, drug metabolism in these patients differs from that of other patients. Directly applying drug PK/PD data from patients with other diseases to burn patients may lead to treatment failure. Owing to the limited PK/PD research on drugs for burn patients, including vancomycin, it is unclear whether the concentrations of these drugs meet the standards when used in these patients. Therefore, in this study, we analyzed the factors influencing the blood vancomycin trough concentration in burn patients to provide a basis for the more rational use of vancomycin in the absence of timely blood concentration monitoring.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>2 Materials and methods</title>
<sec id="s2-1">
<title>2.1 Clinical data</title>
<p>This was a retrospective study. We included adult inpatients who received vancomycin and were admitted to the Department of Burns at Ruijin Hospital, Shanghai Jiaotong University School of Medicine from November 2018 to January 2021. We monitored the blood vancomycin concentration in each patient. The inclusion criteria were as follows: 1) age &#x2265;18&#xa0;years; 2) diagnosed with burn injury owing to fire or scalding water on admission to the hospital; 3) received an intravenous infusion of vancomycin 1.0&#xa0;g q12&#xa0;h and with blood vancomycin concentration detected after administration of the fifth vancomycin dose. The exclusion criteria were: 1) patients on dialysis and 2) pregnant or breastfeeding women. In a review of patients&#x2019; electronic medical records, we collected the following information for each patient: age, weight, height, burn area, area of third-degree burns, days between burn injury and drug administration, serum creatinine level before drug administration, serum albumin level before drug administration, Acute Physiology and Chronic Health Evaluation II (APACHE II) score, blood vancomycin trough concentration, tracheal incision, body mass index (BMI; weight (kg)/height (m<sup>2</sup>)), creatinine clearance, and nephrotoxicity. Creatinine clearance was calculated according to the Cockcroft&#x2013;Gault formula (<xref ref-type="bibr" rid="B39">Schlobohm et al., 2021</xref>; <xref ref-type="bibr" rid="B9">Cockcroft and Gault, 1976</xref>). Nephrotoxicity was defined as an increase in serum creatinine concentration by more than 50% after vancomycin administration (<xref ref-type="bibr" rid="B8">Chung et al., 2012</xref>).</p>
</sec>
<sec id="s2-2">
<title>2.2 Vancomycin dosing regimen and monitoring of plasma trough concentration</title>
<p>All patients received an intravenous infusion of vancomycin 1.0&#xa0;g q12&#xa0;h. In this study, the steady-state blood vancomycin concentration was considered to be reached after administering the fifth dose of vancomycin (<xref ref-type="bibr" rid="B19">He et al., 2020</xref>). The blood vancomycin concentration was measured half an hour before administration of the sixth dose and was used as the trough concentration. The blood concentration of vancomycin was measured using chemiluminescence immunoassay analyzer (ARCHITECT PLUS i2000 SR; Abbott Laboratories, United States). The detection limit of the vancomycin monitor was 3.0&#x2013;100.0&#xa0;&#x3bc;g/mL.</p>
</sec>
<sec id="s2-3">
<title>2.3 Grouping</title>
<p>With reference to a previous study (<xref ref-type="bibr" rid="B19">He et al., 2020</xref>), enrolled patients were divided into two groups based on the blood vancomycin trough concentration, i.e., the therapeutic group had vancomycin trough concentrations within the target therapeutic range (10&#x2013;20&#xa0;mg/L) and the subtherapeutic group had trough concentration in the subtherapeutic range (&#x3c;10&#xa0;mg/L).</p>
</sec>
<sec id="s2-4">
<title>2.4 Ethics and funding</title>
<p>This was a retrospective study. The study was approved by the Ethics Committee of Ruijin Hospital, Shanghai Jiaotong University School of Medicine. The privacy of patient data was protected in accordance with ethical guidelines. The approval number was (2020) Clinical Ethics Review No. (221).</p>
</sec>
<sec id="s2-5">
<title>2.5 Statistical analysis</title>
<p>IBM SPSS 26.0 (IBM Corp., Armonk, NY, United States) was used to analyze the data. Measurement data (age, weight, height, BMI, burn area, area of third-degree burns, days between burn injury and drug administration, serum creatinine, serum albumin, APACHE II score, blood vancomycin trough concentration, creatinine clearance) are expressed as mean and standard deviation, and intergroup comparisons were performed using a <italic>t</italic>-test. Count data (nephrotoxicity, tracheal incision) are expressed as number and frequency, and intergroup comparisons were performed using the chi-square test. Diagnostic tests were performed using receiver operating characteristic (ROC) curves. For factors influencing the trough concentration, (age, weight, height, BMI, burn area, area of third-degree burns, days between burn injury and drug administration, serum creatinine, serum albumin, APACHE II score, creatinine clearance), Pearson correlation analysis was used in correlation analysis, then linear stepwise regression was used in regression analysis. We considered <italic>p</italic> &#x3c; 0.05 to indicate statistical significance.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>3 Results</title>
<sec id="s3-1">
<title>3.1 Basic patient information</title>
<p>As shown in <xref ref-type="table" rid="T1">Table 1</xref>, a total of 80 patients were enrolled. Among included patients, the average age was 45.08 &#xb1; 14.59&#xa0;years, the average weight was 65.52 &#xb1; 12.12&#xa0;kg, the average burn area was 34.15% &#xb1; 28.57% total body surface area (%TBSA), the average area of third-degree burns was 12.51 &#xb1; 19.22%TBSA, and the average vancomycin trough concentration was 6.79 &#xb1; 4.47&#xa0;&#x3bc;g/mL.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Basic patient information.</p>
</caption>
<table>
<tbody valign="top">
<tr>
<td align="left">Age (years)</td>
<td align="left">45.08 &#xb1; 14.59</td>
</tr>
<tr>
<td align="left">Weight (kg)</td>
<td align="left">65.52 &#xb1; 12.12</td>
</tr>
<tr>
<td align="left">Height (cm)</td>
<td align="left">165.55 &#xb1; 9.30</td>
</tr>
<tr>
<td align="left">BMI</td>
<td align="left">23.79 &#xb1; 3.27</td>
</tr>
<tr>
<td align="left">Burn area (%TBSA)</td>
<td align="left">34.15 &#xb1; 28.57</td>
</tr>
<tr>
<td align="left">Area of third-degree burns (%TBSA)</td>
<td align="left">12.51 &#xb1; 19.22</td>
</tr>
<tr>
<td align="left">Days between drug administration and burn injury</td>
<td align="left">7.33 &#xb1; 10.35</td>
</tr>
<tr>
<td align="left">Serum creatinine level before drug administration (&#x3bc;mol/L)</td>
<td align="left">66.38 &#xb1; 24.78</td>
</tr>
<tr>
<td align="left">Serum albumin level before drug administration (g/L)</td>
<td align="left">33.39 &#xb1; 5.87</td>
</tr>
<tr>
<td align="left">APACHE II score</td>
<td align="left">8.03 &#xb1; 3.65</td>
</tr>
<tr>
<td align="left">Creatinine clearance (mL/min)</td>
<td align="left">118.37 &#xb1; 44.86</td>
</tr>
<tr>
<td align="left">Trough concentration (&#xb5;g/mL)</td>
<td align="left">6.79 &#xb1; 4.47</td>
</tr>
<tr>
<td align="left">Number of patients who underwent tracheotomy</td>
<td align="left">20</td>
</tr>
<tr>
<td align="left">Number of cases of nephrotoxicity</td>
<td align="left">5</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>BMI, body mass index; APACHE, Acute Physiology and Chronic Health Evaluation II; TBSA, total body surface area.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-2">
<title>3.2 Grouping by vancomycin trough concentration</title>
<p>As shown in <xref ref-type="table" rid="T2">Table 2</xref>, the vancomycin trough concentration in 14 patients (17.5%) was within the therapeutic range, with a mean trough concentration of 14.36 &#xb1; 2.82&#xa0;&#x3bc;g/mL; the vancomycin trough concentration in 66 patients was in the subtherapeutic range (82.5%), with a mean trough concentration of 5.18 &#xb1; 2.77&#xa0;&#x3bc;g/mL.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Grouping by vancomycin trough concentration.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left"/>
<th align="left">Number of patients</th>
<th align="left">Trough concentration (&#xb5;g/mL)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">the therapeutic group</td>
<td align="left">14 (17.5%)</td>
<td align="left">14.36 &#xb1; 2.82</td>
</tr>
<tr>
<td align="left">the subtherapeutic group</td>
<td align="left">66 (82.5%)</td>
<td align="left">5.18 &#xb1; 2.77</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3-3">
<title>3.3 Group comparisons and ROC analysis of vancomycin trough concentration</title>
<p>As shown in <xref ref-type="table" rid="T3">Table 3</xref>, patients&#x2019; serum creatinine levels were significantly higher in the therapeutic group (84.93 &#xb1; 47.26&#xa0;&#x3bc;mol/L) than those in the subtherapeutic group (62.44 &#xb1; 14.49&#xa0;&#x3bc;mol/L) (<italic>t</italic> &#x3d; &#x2212;3.267, <italic>p</italic> &#x3d; 0.002). The serum albumin level was significantly lower in the therapeutic group (30.50 &#xb1; 2.28&#xa0;g/L) than that in the subtherapeutic group (34.00 &#xb1; 6.22&#xa0;g/L) (<italic>t</italic> &#x3d; 2.068, <italic>p</italic> &#x3d; 0.042); creatinine clearance was also significantly lower in the therapeutic group (88.00 &#xb1; 46.97&#xa0;mL/min) than that in the subtherapeutic group (124.81 &#xb1; 42&#xa0;mL/min) (<italic>t</italic> &#x3d; 2.918, <italic>p</italic> &#x3d; 0.005). <xref ref-type="table" rid="T4">Table 4</xref> shows that for serum albumin level, the AUC (95% CI) was 0.67 (0.553, 0.788) and the optimal cut-off point was 34.50&#xa0;g/L (<italic>p</italic> &#x3d; 0.046); for creatinine clearance, the AUC (95% CI) was 0.72 (0.537, 0.902), and the optimal cut-off point was 76.64&#xa0;mL/min (<italic>p</italic> &#x3d; 0.01).</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Comparison of data between the two groups.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center"/>
<th colspan="2" align="center">The subtherapeutic group</th>
<th colspan="2" align="center">The therapeutic group</th>
<th align="center">t/&#x3c7;<sup>2</sup> value</th>
<th align="center">
<italic>p</italic>-value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">Age (years)</td>
<td align="center">43.79</td>
<td align="center">&#xb1;12.9</td>
<td align="center">51.14</td>
<td align="center">&#xb1;20.34</td>
<td align="center">&#x2212;1.735</td>
<td align="center">0.087</td>
</tr>
<tr>
<td align="center">Weight (kg)</td>
<td align="center">66.51</td>
<td align="center">&#xb1;12.21</td>
<td align="center">60.86</td>
<td align="center">&#xb1;10.94</td>
<td align="center">1.6</td>
<td align="center">0.114</td>
</tr>
<tr>
<td align="center">Height (cm)</td>
<td align="center">165.88</td>
<td align="center">&#xb1;9.51</td>
<td align="center">164.00</td>
<td align="center">&#xb1;8.38</td>
<td align="center">0.684</td>
<td align="center">0.496</td>
</tr>
<tr>
<td align="center">BMI</td>
<td align="center">24.07</td>
<td align="center">&#xb1;3.35</td>
<td align="center">22.47</td>
<td align="center">&#xb1;2.57</td>
<td align="center">1.679</td>
<td align="center">0.097</td>
</tr>
<tr>
<td align="center">Burn area (%)</td>
<td align="center">32.83</td>
<td align="center">&#xb1;26.84</td>
<td align="center">40.29</td>
<td align="center">&#xb1;36.08</td>
<td align="center">&#x2212;0.884</td>
<td align="center">0.379</td>
</tr>
<tr>
<td align="center">Area of third-degree burns (%)</td>
<td align="center">10.85</td>
<td align="center">&#xb1;17.34</td>
<td align="center">20.36</td>
<td align="center">&#xb1;25.73</td>
<td align="center">&#x2212;1.701</td>
<td align="center">0.093</td>
</tr>
<tr>
<td align="center">Days between drug administration and burn injury (days)</td>
<td align="center">6.94</td>
<td align="center">&#xb1;9.64</td>
<td align="center">9.14</td>
<td align="center">&#xb1;13.48</td>
<td align="center">&#x2212;0.722</td>
<td align="center">0.473</td>
</tr>
<tr>
<td align="center">Serum creatinine level before drug administration (&#x3bc;mol/L)</td>
<td align="center">62.44</td>
<td align="center">&#xb1;14.49</td>
<td align="center">84.93</td>
<td align="center">&#xb1;47.26</td>
<td align="center">&#x2212;3.267</td>
<td align="center">0.002</td>
</tr>
<tr>
<td align="center">Serum albumin level before drug administration (g/L)</td>
<td align="center">34.00</td>
<td align="center">&#xb1;6.22</td>
<td align="center">30.50</td>
<td align="center">&#xb1;2.28</td>
<td align="center">2.068</td>
<td align="center">0.042</td>
</tr>
<tr>
<td align="center">APACHE II score</td>
<td align="center">7.95</td>
<td align="center">&#xb1;3.47</td>
<td align="center">8.36</td>
<td align="center">&#xb1;4.53</td>
<td align="center">&#x2212;0.373</td>
<td align="center">0.71</td>
</tr>
<tr>
<td align="center">Creatinine clearance (mL/min)</td>
<td align="center">124.81</td>
<td align="center">&#xb1;42</td>
<td align="center">88.00</td>
<td align="center">&#xb1;46.97</td>
<td align="center">2.918</td>
<td align="center">0.005</td>
</tr>
<tr>
<td colspan="7" align="left">Tracheotomy</td>
</tr>
<tr>
<td align="center">None</td>
<td colspan="2" align="center">51 (77.30)</td>
<td colspan="2" align="center">9 (64.30)</td>
<td align="center">1.039</td>
<td align="center">0.308</td>
</tr>
<tr>
<td align="center">Yes</td>
<td colspan="2" align="center">15 (22.70)</td>
<td colspan="2" align="center">5 (35.70)</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td colspan="7" align="left">Nephrotoxicity</td>
</tr>
<tr>
<td align="center">None</td>
<td colspan="2" align="center">62 (93.90)</td>
<td colspan="2" align="center">13 (92.90)</td>
<td align="center">0.023</td>
<td align="center">0.879</td>
</tr>
<tr>
<td align="center">Yes</td>
<td colspan="2" align="center">4 (6.10)</td>
<td colspan="2" align="center">1 (7.10)</td>
<td align="left"/>
<td align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>BMI, body mass index; APACHE, Acute Physiology and Chronic Health Evaluation II.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>ROC diagnosis of standard vancomycin trough concentration.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Indicators</th>
<th align="left">AUC</th>
<th align="left">Standard error</th>
<th align="left">
<italic>p</italic>-value</th>
<th align="left">Optimal cut-off point</th>
<th align="left">Sensitivity</th>
<th align="left">Specificity</th>
<th align="left">Youden index</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Serum albumin level before drug administration (g/L)</td>
<td align="left">0.67 (0.553, 0.788)</td>
<td align="left">0.06</td>
<td align="left">0.046</td>
<td align="left">34.50</td>
<td align="left">0.379</td>
<td align="left">1</td>
<td align="left">0.379</td>
</tr>
<tr>
<td align="left">Creatinine clearance (mL/min)</td>
<td align="left">0.72 (0.537, 0.902)</td>
<td align="left">0.093</td>
<td align="left">0.01</td>
<td align="left">76.64</td>
<td align="left">0.985</td>
<td align="left">0.5</td>
<td align="left">0.485</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>ROC, receiver operating characteristic; AUC, area under the ROC, curve.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-4">
<title>3.4 Correlation analysis and linear stepwise regression analysis of vancomycin trough concentration</title>
<p>As seen in <xref ref-type="table" rid="T5">Table 5</xref>, the vancomycin trough concentration was positively correlated with age (r &#x3d; 0.419, <italic>p</italic> &#x3c; 0.001), area of third-degree burns (r &#x3d; 0.295, <italic>p</italic> &#x3d; 0.007), days between burn injury and drug administration (r &#x3d; 0.291, <italic>p</italic> &#x3d; 0.008), and serum creatinine level (r &#x3d; 0.412, <italic>p</italic> &#x3c; 0.001). The vancomycin trough concentration was negatively correlated with serum albumin level (r &#x3d; &#x2212;0.281, <italic>p</italic> &#x3d; 0.01) and creatinine clearance (r &#x3d; &#x2212;0.512, <italic>p</italic> &#x3c; 0.001). As seen in <xref ref-type="table" rid="T6">Table 6</xref>, age (<italic>t</italic> &#x3d; 4.954, <italic>p</italic> &#x3c; 0.001) and serum creatinine level (<italic>t</italic> &#x3d; 4.256, <italic>p</italic> &#x3c; 0.001) had significant positive effects on the trough concentrations. The linear stepwise regression equation was as follows: trough concentration &#x3d; 0.14 &#xd7; age &#x2b; 0.071 &#xd7; serum creatinine &#x2212;4.196.</p>
<table-wrap id="T5" position="float">
<label>TABLE 5</label>
<caption>
<p>Correlation analysis of vancomycin trough concentrations.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Indicators</th>
<th align="left">r coefficient</th>
<th align="left">
<italic>p</italic>-value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Age (years)</td>
<td align="left">0.419</td>
<td align="left">&#x3c;0.001</td>
</tr>
<tr>
<td align="left">Weight (kg)</td>
<td align="left">&#x2212;0.207</td>
<td align="left">0.061</td>
</tr>
<tr>
<td align="left">Height (cm)</td>
<td align="left">&#x2212;0.131</td>
<td align="left">0.238</td>
</tr>
<tr>
<td align="left">BMI</td>
<td align="left">&#x2212;0.171</td>
<td align="left">0.122</td>
</tr>
<tr>
<td align="left">Burn area (%)</td>
<td align="left">0.132</td>
<td align="left">0.237</td>
</tr>
<tr>
<td align="left">Area of third-degree burns (%)</td>
<td align="left">0.295</td>
<td align="left">0.007</td>
</tr>
<tr>
<td align="left">Days between drug administration and burn injury (days)</td>
<td align="left">0.291</td>
<td align="left">0.008</td>
</tr>
<tr>
<td align="left">Serum creatinine level before drug administration (&#x3bc;mol/L)</td>
<td align="left">0.412</td>
<td align="left">&#x3c;0.001</td>
</tr>
<tr>
<td align="left">Serum albumin level before drug administration (g/L)</td>
<td align="left">&#x2212;0.281</td>
<td align="left">0.01</td>
</tr>
<tr>
<td align="left">APACHE II score</td>
<td align="left">0.184</td>
<td align="left">0.097</td>
</tr>
<tr>
<td align="left">Creatinine clearance (mL/min)</td>
<td align="left">&#x2212;0.512</td>
<td align="left">&#x3c;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>BMI, body mass index; APACHE, Acute Physiology and Chronic Health Evaluation II.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T6" position="float">
<label>TABLE 6</label>
<caption>
<p>Linear stepwise regression analysis of vancomycin trough concentrations.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Indicators</th>
<th align="left">B</th>
<th align="left">Standard error</th>
<th align="left">Beta</th>
<th align="left">t value</th>
<th align="left">
<italic>p</italic>-value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">(constant)</td>
<td align="left">&#x2212;4.196</td>
<td align="left">1.761</td>
<td align="left"/>
<td align="left">&#x2212;2.382</td>
<td align="left">0.02</td>
</tr>
<tr>
<td align="left">Age (years)</td>
<td align="left">0.14</td>
<td align="left">0.028</td>
<td align="left">0.456</td>
<td align="left">4.954</td>
<td align="left">&#x3c;0.001</td>
</tr>
<tr>
<td align="left">Serum creatinine level before drug administration (&#x3bc;mol/L)</td>
<td align="left">0.071</td>
<td align="left">0.017</td>
<td align="left">0.392</td>
<td align="left">4.256</td>
<td align="left">&#x3c;0.001</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>4 Discussion</title>
<p>Infection has always been a problem in the treatment of burn patients (<xref ref-type="bibr" rid="B16">Fitzwater et al., 2003</xref>). <italic>S. aureus</italic>, especially methicillin-resistant <italic>S. aureus</italic> is one of the main pathogens detected in patients with burn injury (<xref ref-type="bibr" rid="B18">Guggenheim et al., 2009</xref>; <xref ref-type="bibr" rid="B23">Hu et al., 2021</xref>). Vancomycin is a first-choice glycopeptide antibiotic (<xref ref-type="bibr" rid="B26">Levine, 2006</xref>) and is used worldwide for the treatment of infection with methicillin-resistant <italic>S. aureus</italic> (<xref ref-type="bibr" rid="B28">Liu et al., 2011</xref>). However, substandard blood drug concentrations can lead to vancomycin treatment failure and the development of drug-resistant bacteria (<xref ref-type="bibr" rid="B37">Ravina et al., 2011</xref>; <xref ref-type="bibr" rid="B34">Pea et al., 2005</xref>). Therefore, recommendations regarding the blood vancomycin trough concentration have been established (<xref ref-type="bibr" rid="B19">He et al., 2020</xref>). However, there is scant PK/PD research involving burn patients; therefore, further investigation is needed on changes in the PK/PD parameters when using antibiotics, including vancomycin, in this patient population (<xref ref-type="bibr" rid="B5">Carter et al., 2015</xref>; <xref ref-type="bibr" rid="B36">Pruskowski, 2021</xref>; <xref ref-type="bibr" rid="B25">Lee et al., 2017</xref>; <xref ref-type="bibr" rid="B40">Stanojcic et al., 2018</xref>). Among vancomycin-related PK/PD parameters, although the AUC24 is more suitable than trough concentration as a monitoring indicator (<xref ref-type="bibr" rid="B19">He et al., 2020</xref>), vancomycin AUC24 values for burn patients require multiple blood drug concentration measurements and are not easy to obtain (<xref ref-type="bibr" rid="B38">Rybak et al., 2009</xref>; <xref ref-type="bibr" rid="B22">Holmes, 2020</xref>). Because trough concentration and AUC24 are highly consistent (<xref ref-type="bibr" rid="B3">Ayuthaya et al., 2020</xref>), trough concentration can also be used as a monitoring indicator (<xref ref-type="bibr" rid="B19">He et al., 2020</xref>; <xref ref-type="bibr" rid="B30">Neely et al., 2018</xref>). Therefore, this study was conducted to further understand influencing factors of the blood vancomycin trough concentrations in burn patients and to provide a basis for how to better achieve effective blood vancomycin concentrations in this patient population.</p>
<p>In this study, the vancomycin trough concentration was within the standard range in only 14 of 80 burn patients (17.5%). ROC curve analysis conducted using the standard vancomycin trough concentration indicated that when albumin levels were greater than 34.50&#xa0;g/L, the vancomycin trough concentration in burn patients was likely to not be within the standard range; also, when creatinine clearance was less than 76.64&#xa0;mL/min, the vancomycin trough concentration of burn patients was more likely to be within the standard range. Among these two indicators, creatinine clearance showed a better predictive effect. Correlation analysis of influencing factors showed that the vancomycin trough concentration was positively correlated with age, area of third-degree burns, days between burn injury and drug administration, and serum creatinine level; the trough concentration was negatively correlated with serum albumin level and creatinine clearance. Further linear stepwise regression analysis was performed and a linear progressive regression equation was obtained: trough concentration &#x3d; 0.14 &#xd7; age &#x2b; 0.071 &#xd7; serum creatinine &#x2212;4.196. As our study findings confirmed, a high proportion of burn patients with a vancomycin trough concentration below the standard range is common (<xref ref-type="bibr" rid="B3">Ayuthaya et al., 2020</xref>; <xref ref-type="bibr" rid="B5">Carter et al., 2015</xref>; <xref ref-type="bibr" rid="B36">Pruskowski, 2021</xref>; <xref ref-type="bibr" rid="B14">Elligsen et al., 2011</xref>). This phenomenon is owing to the unique pathophysiological changes in these patients (<xref ref-type="bibr" rid="B36">Pruskowski, 2021</xref>). Within 48&#x2013;72&#xa0;h after the initial burn injury, patients with severe burns may go into burn shock and require massive fluid resuscitation; vascular permeability and tissue edema increase; hypoproteinemia, myocardial contractility, and cardiac output decrease; and blood flow to the intestines, liver, and kidneys declines. In the middle and late stages of burn injury, patients can develop hypermetabolic responses; systemic inflammation and oxidative stress lead to increased cardiac contractility and cardiac output; and blood flow to the liver and kidneys increases, thereby increasing hepatic metabolism and renal clearance. The unique biphasic changes over time can cause the PK/PD parameters (apparent volume of distribution, protein binding, renal clearance, etc.,) of burn patients to be affected by various factors (<xref ref-type="bibr" rid="B5">Carter et al., 2015</xref>), including age, co-morbidities, fluid resuscitation, concurrent administration of nephrotoxic drugs, burn area, existence of inhalation injuries, and time between administration of vancomycin and burn injury. Therefore, if the PK/PD parameters of nonburn patients are used to develop antibiotic regimens for patients with burn injury, the effective drug concentration may not be achieved in the latter group of patients (<xref ref-type="bibr" rid="B25">Lee et al., 2017</xref>; <xref ref-type="bibr" rid="B29">Musick et al., 2022</xref>), resulting in treatment failure. After vancomycin enters the body, some of the drug binds to albumin and some is excreted through the kidneys. Therefore, serum albumin levels and kidney function play an important role in vancomycin metabolism. Our study also validated this point, showing that in ROC curve analysis, serum albumin and creatinine clearance are important parameters to predict whether vancomycin concentration is within the standard range. Our linear regression equation additionally showed that the trough concentration of vancomycin in burn patients can be predicted using age and serum creatinine. One study (<xref ref-type="bibr" rid="B27">Lin et al., 2021</xref>) reported that the apparent volume distribution of vancomycin decreased with increased age and serum creatinine level, leading to high blood concentrations. As shown in our linear regression equation, the higher the age and serum creatinine level, the higher the trough concentration of vancomycin. This formula facilitates the use of age and serum creatinine values to estimate the trough concentration in burn patients when this concentration cannot be measured in a timely manner, thereby providing a means for more effective anti-infective therapy. However, in our stepwise regression analysis, only age and serum creatinine levels were included in the regression equation; the previously discussed serum albumin was not included in the equation. The fact that serum albumin was excluded from the final equation in multiple regression analysis suggests that this variable may be colinear with other confounding factors, and its addition to the predictivity of the model is not statistically significant.</p>
<p>Serum creatinine levels were significantly higher in the therapeutic group than those in the subtherapeutic group; serum albumin levels were significantly lower in the therapeutic group than those in the subtherapeutic group; and creatinine clearance levels were significantly lower in the therapeutic group than those in the subtherapeutic group. Age, height, weight, BMI, burn area, area of third-degree burns, days between burn injury and drug administration, APACHE II score and incidence of nephrotoxicity were not significantly different between the two groups. Vancomycin is a hydrophilic drug that is mainly excreted via the kidneys; therefore, its clearance is closely related to creatinine clearance (<xref ref-type="bibr" rid="B4">Baptista et al., 2012</xref>). Because the use of conventional doses may lead to insufficient blood drug concentrations, high creatinine clearance has been considered an important cause of treatment failure with renally cleared antibiotics such as &#x3b2;-lactams and vancomycin (<xref ref-type="bibr" rid="B10">Cook and Hatton-Kolpek, 2019</xref>; <xref ref-type="bibr" rid="B44">Udy et al., 2012</xref>) in critically ill patients and burn patients. In a previous study (<xref ref-type="bibr" rid="B4">Baptista et al., 2012</xref>), a good correlation was found between vancomycin clearance and creatinine clearance; vancomycin blood concentrations were low in patients with hyperactive renal function (i.e., augmented renal clearance), and subtherapeutic concentrations of vancomycin were detected when the standard dosage was used. Studies have reported that the appropriate dose of vancomycin is dependent on creatinine clearance (<xref ref-type="bibr" rid="B42">Tsai et al., 2018</xref>). In our study, reaching the target blood vancomycin trough concentration was closely related to creatinine clearance. The vancomycin trough concentration is related to the patient&#x2019;s actual body weight (<xref ref-type="bibr" rid="B42">Tsai et al., 2018</xref>); however, our research showed that weight and BMI are not related to the trough concentration. This conclusion may because our sample size (N &#x3d; 80) may not have been sufficiently large; further validation is needed in future research.</p>
<p>The results of a previous study (<xref ref-type="bibr" rid="B27">Lin et al., 2021</xref>) indicated that serum creatinine is negatively correlated with vancomycin clearance. In our study, the serum creatinine level before drug administration was significantly higher in the therapeutic group than that in the subtherapeutic group. There was no significant difference in renal toxicity between the two groups after treatment. Therefore, we believe that a higher initial serum creatinine concentration facilitates reaching the target vancomycin trough concentration.</p>
<p>Albumin plays an important role in drug PK. After drugs enter the bloodstream, a portion binds to albumin and another portion remains as free drug, exerting pharmacological effects and being metabolized by the body, such as in the liver and kidney. Thus, hypoproteinemia can lead to an increase in free drug and increased drug clearance. Studies have shown that hypoproteinemia may lead to an increase in the clearance of some antibiotics such as ceftriaxone in critically ill patients, resulting in decreasing drug concentrations and failure to achieve the PD goals associated with efficacy (<xref ref-type="bibr" rid="B45">Ulldemolins et al., 2011</xref>). Vancomycin is hydrophilic, and the protein binding rate is approximately 50%&#x2013;55% (<xref ref-type="bibr" rid="B35">Porter, 2023</xref>). There are few studies regarding the effect of albumin levels on blood vancomycin concentrations. Furthermore, to our knowledge, no studies have examined the effect of albumin level on the blood concentration of vancomycin in burn patients. In a previous sepsis study (<xref ref-type="bibr" rid="B24">Kovacevic et al., 2019</xref>), the vancomycin trough concentration in patients with severe sepsis who had severe hypoproteinemia (&#x3c;25&#xa0;mg/L) was significantly higher than that in their counterparts with non-severe hypoproteinemia (&#x3e;25&#xa0;mg/L). One study showed that the half-life of vancomycin in older patients with hypoproteinemia was significantly longer than that in patients without hypoalbuminemia (<xref ref-type="bibr" rid="B41">Tomohiro et al., 2013</xref>), possibly because hypoproteinemia can affect free vancomycin, resulting in a prolonged half-life. Our study of burn patients also seemed to confirm the findings of previous studies (<xref ref-type="bibr" rid="B24">Kovacevic et al., 2019</xref>; <xref ref-type="bibr" rid="B41">Tomohiro et al., 2013</xref>), that lower albumin levels may lead to an increase in the vancomycin trough concentration. This phenomenon is opposite to the effect of hypoalbuminemia on the concentration of certain antibiotics (such as ceftriaxone); that is, the lower the albumin level, the more free drug and the higher the clearance rate of ceftriaxone (<xref ref-type="bibr" rid="B45">Ulldemolins et al., 2011</xref>). More importantly, however, we found that the therapeutic group of patients not only had a lower albumin level, they also had a lower creatinine clearance. Combined with these two indicators, we believe that the increase in vancomycin concentration among burn patients with hypoproteinemia has an important relationship with the decrease in creatinine clearance. Low albumin levels can lead to increased levels of free vancomycin in plasma, which may lead to increased renal excretion and decreased drug concentrations with normal renal function. However, when patients with low albumin have low creatinine clearance, increasing free drug does not increase drug excretion; instead, this increases the drug concentration owing to decreased renal clearance. This also suggests that greater attention is needed regarding changes in renal function when it is suspected that hypoproteinemia affects the blood concentration. For patients with normal or hyperactive renal function, free drug excreted via the kidneys is increased, and hypoproteinemia may lead to a decrease in the plasma drug concentration. In patients with impaired renal function, less free drug is excreted through the kidneys, and hypoproteinemia does not result in a decrease or even an increase in the drug concentration. In our linear stepwise regression equation, albumin was eliminated and renal function retained, indicating that albumin may be collinear with other factors.</p>
<p>In a previous report (<xref ref-type="bibr" rid="B13">Elder et al., 2017</xref>), the closer the timing of drug administration to the day of the initial burn injury and the larger the burn area, the higher the vancomycin clearance and the higher the required daily dose of vancomycin. However, in our study, we did not observe this phenomenon. It is generally agreed that burn area is one parameter used to evaluate the severity of a patient&#x2019;s condition; the larger the burn area, the more severe the patient&#x2019;s condition, and the lower the trough concentration of vancomycin. After the initial burn injury occurs, there may be capillary leakage and augmented renal clearance, which will lead to a reduction in the vancomycin concentration. This condition may gradually improve with an increased number of days after the burn injury occurs (<xref ref-type="bibr" rid="B36">Pruskowski, 2021</xref>). Therefore, the longer the time since the initial injury, the better the patient&#x2019;s condition, and the higher the trough concentration of vancomycin. However, the reason why our research is inconsistent with the findings of other studies may be that neither the burn area nor the number of days after the occurrence of burn injury directly affect the drug concentration. These certainly affect the drug concentration by affecting factors such as albumin or kidney function. However, patients differ, so even among patients with the same burn area or the same number of days after a burn injury, physiological indicators such as creatinine clearance and plasma albumin may differ. Therefore, we did not find an effect on drug concentrations of the burn area or time between burn injury and drug administration. Compared with the burn area or number of days after burn injury, plasma albumin or renal function may be more accurate as factors influencing the vancomycin trough concentration.</p>
<sec id="s4-1">
<title>4.1 Limitations of this study</title>
<p>Several study limitations should be mentioned. First, this was a retrospective study and the data were obtained by reviewing patients&#x2019; electronic medical records. Second, we only investigated relevant factors influencing the trough concentration and did not explore factors influencing the AUC24. Third, this was a single-center study, and the results may not directly apply to patients in other burn centers. Fourth, the study results only pertain to adult patients, not to pediatric patients. Fifth, the sample size of 80 patients was not large; we will include additional patients in future studies to validate the equation derived in this study. Sixth, we only included patients with a dosing regimen of 1&#xa0;g q12&#xa0;h; thus, we limited the predictive variables to age and creatinine clearance without including the dosing regimen. Therefore, this study could not address the question of how to adjust dosages when the predicted concentrations are low.</p>
</sec>
<sec id="s4-2">
<title>4.2 Highlights of this study</title>
<p>Despite the above limitations, we found that compared with albumin, renal function was more important in influencing the vancomycin drug concentration among burn patients. Contrary to the results of previous studies, factors such as the number of days between burn injury and drug administration as well as burn area had no effect on the vancomycin concentration in our study. Additionally, a linear stepwise regression equation was obtained for the trough concentration; this equation can be used to estimate the trough concentration using the patient&#x2019;s age and serum creatinine level.</p>
</sec>
<sec id="s4-3">
<title>4.3 Conclusion</title>
<p>With a dosing regimen of 1.0&#xa0;g q12&#xa0;h, a low proportion of adult burn patients in our study had blood vancomycin trough concentrations within the standard range. In the therapeutic group, patients&#x2019; albumin levels were lower and their serum creatinine levels were higher. Serum creatinine clearance and albumin levels are important indicators for predicting whether a patient&#x2019;s blood vancomycin trough concentration is within the standard range. According to the linear stepwise regression equation, when the trough concentration cannot be measured in a timely manner for burn patients with infection, age and serum creatinine can be used to estimate the vancomycin trough concentration.</p>
</sec>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s5">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="ethics-statement" id="s6">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the Ethics Committee of Ruijin Hospital, Shanghai Jiaotong University School of Medicine. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation was not required from the participants or the participants&#x2019; legal guardians/next of kin because this is a retrospective study. Patients receive routine treatment and all the data comes from EMRs.</p>
</sec>
<sec sec-type="author-contributions" id="s7">
<title>Author contributions</title>
<p>YS: Writing&#x2013;original draft. ZY: Data curation, Investigation, Writing&#x2013;original draft. QZ: Conceptualization, Methodology, Writing&#x2013;original draft. LY: Conceptualization, Methodology, Writing&#x2013;original draft. YD: Writing&#x2013;review and editing.</p>
</sec>
<sec sec-type="funding-information" id="s8">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This study was supported by the General Program National Natural Science Foundation of China (no. 81971832).</p>
</sec>
<ack>
<p>We thank Analisa Avila, MPH, ELS, of Liwen Bianji (Edanz) (<ext-link ext-link-type="uri" xlink:href="http://www.liwenbianji.cn">www.liwenbianji.cn</ext-link>) for editing the English text of a draft of this manuscript.</p>
</ack>
<sec sec-type="COI-statement" id="s9">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s10">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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