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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">754844</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2021.754844</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>Population Pharmacokinetics of Polymyxin B in Obese Patients for Resistant Gram-Negative Infections</article-title>
<alt-title alt-title-type="left-running-head">Wang et&#x20;al.</alt-title>
<alt-title alt-title-type="right-running-head">PPK of Polymyxin B in Obese Patients</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Peile</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Qiwen</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Feng</surname>
<given-names>Min</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sun</surname>
<given-names>Tongwen</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/728554/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Yang</surname>
<given-names>Jing</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/821839/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Xiaojian</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<label>
<sup>1</sup>
</label>Department of Pharmacy, First Affiliated Hospital of Zhengzhou University, <addr-line>Zhengzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<label>
<sup>2</sup>
</label>Henan Key Laboratory of Precision Clinical Pharmacy, Zhengzhou University, <addr-line>Zhengzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<label>
<sup>3</sup>
</label>Department of ICU, First Affiliated Hospital of Zhengzhou University, <addr-line>Zhengzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<label>
<sup>4</sup>
</label>Department of General ICU, First Affiliated Hospital of Zhengzhou University, <addr-line>Zhengzhou</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/721359/overview">Lena Elisabeth Friberg</ext-link>, Uppsala University, Sweden</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/1256172/overview">Yu-Wei Lin</ext-link>, Monash University, Australia</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1075238/overview">Justin Lenhard</ext-link>, California Northstate University, United&#x20;States</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Jing Yang, <email>jingyang_0101@163.com</email>
</corresp>
<fn fn-type="other">
<p>This article was submitted to Translational Pharmacology, a section of the journal Frontiers in Pharmacology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>22</day>
<month>11</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>754844</elocation-id>
<history>
<date date-type="received">
<day>30</day>
<month>09</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>08</day>
<month>11</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2021 Wang, Zhang, Feng, Sun, Yang and Zhang.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Wang, Zhang, Feng, Sun, Yang and Zhang</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&#x20;terms.</p>
</license>
</permissions>
<abstract>
<p>Polymyxin B is an effective but potentially nephrotoxic antibiotic that is commonly used to treat resistant Gram-negative infections. As a weight-based dosing drug, obese patients may be at a high risk of nephrotoxicity. However, the pharmacokinetics and dosing recommendations for this population are currently lacking. This study aimed to describe the polymyxin B population pharmacokinetics and to evaluate pharmacokinetic/pharmacodynamics (PK/PD) target attainment for obese patients. This study included 26 patients (body mass index, BMI &#x3e;30) who received polymyxin B for &#x2265;3&#xa0;days. The total body weight (TBW) ranged from 75 to 125&#xa0;kg, and the BMI ranged from 30.04 to 40.35. A two-compartment model adequately described the data using Phoenix NLME software. Monte Carlo simulation was used to assess polymyxin B exposure and the probability of target attainment (PTA). As a result, body weight had no significant effect on polymyxin B pharmacokinetics. According to model-based simulation, adjusted body weight (ABW)-based regimens had a high probability of achieving optimal exposure with minimal toxicity risk by comparing TBW and ideal body weight (IBW)-based regimens. The fixed dose of 125&#xa0;mg or 150&#xa0;mg q12h had a high toxicity risk. PTA results showed that TBW, IBW, and ABW-based regimens had similar PTA values. Therefore, for obese patients, ABW-based regimens but with a daily dose &#x3c;250&#xa0;mg have a high likelihood of achieving an AUC<sub>ss,24h</sub> of 50&#x2013;100&#xa0;mg h/L and attaining PK/PD targets with the MIC &#x2264;0.5&#xa0;mg/L.</p>
</abstract>
<kwd-group>
<kwd>polymyxin B</kwd>
<kwd>obesity</kwd>
<kwd>population pharmacokinetics</kwd>
<kwd>Monte Carlo simulation</kwd>
<kwd>adjusted body weight</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>In recent years, with the change of dietary structure, the number of obese people has gradually increased (<xref ref-type="bibr" rid="B33">Wang et&#x20;al., 2020a)</xref>. Physiological changes of obese patients are reflected in many aspects of drug metabolism (<xref ref-type="bibr" rid="B6">Cho et&#x20;al., 2013</xref>). Therefore, knowledge of obesity-related pharmacokinetic (PK) changes is crucial for optimizing drug therapy in the obese population. Weight-based dosing is commonly used to several antimicrobial agents, such as aminoglycosides, vancomycin, amphotericin B, and polymyxins (<xref ref-type="bibr" rid="B3">Alobaid et&#x20;al., 2016</xref>). However, for obese individuals, the use of weight-based dosing may result in drug overexposure and toxicity due to nonproportional increases in drug clearance with body weight (<xref ref-type="bibr" rid="B18">Mcleay et&#x20;al., 2012</xref>), so an alternate dosing regimen may be needed. Some studies recommend using ideal body weight (IBW) or adjusted body weight (ABW) when calculating an antimicrobial dose in obese patients to balance efficacy and toxicity (<xref ref-type="bibr" rid="B9">Hites and Taccone, 2015</xref>).</p>
<p>Polymyxin B is a cationic polypeptide antibiotic used for the treatment of multidrug-resistant (MDR) Gram-negative bacterial infections. It exhibits concentration-dependent antibacterial activity and the AUC/MIC ratio correlates well with its efficacy (<xref ref-type="bibr" rid="B12">Lakota et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B30">Tsuji et&#x20;al., 2019</xref>). Polymyxin B is generally dosed based on total body weight (TBW), but PK data in obesity is limited. Sandri et&#x20;al firstly reported a population PK analysis of 23 patients weighing 41&#x2013;110&#xa0;kg and one patient weighing 250&#xa0;kg (on continuous venovenous hemodialysis), and found clearance (CL) allometrically scaled with TBW<sup>0.75</sup> (<xref ref-type="bibr" rid="B26">Sandri et&#x20;al., 2013</xref>). However, the case was rare and CL scaled just slightly with TBW (<xref ref-type="bibr" rid="B22">Pai, 2013</xref>). Furthermore, subsequent population PK studies revealed that TBW was not significantly associated with CL or volume of distribution (Vd) of polymyxin B, possibly due to nonproportional increases in drug clearance with TBW (<xref ref-type="bibr" rid="B4">Avedissian et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B11">Kubin et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B17">Manchandani et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B20">Miglis et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B34">Wang et&#x20;al., 2020c</xref>; <xref ref-type="bibr" rid="B36">Wang et&#x20;al., 2021</xref>; <xref ref-type="bibr" rid="B37">Yu et&#x20;al., 2021</xref>). In addition, the dosage of colistin, also a polymyxin antibiotic, is based on IBW in obese patients (<xref ref-type="bibr" rid="B13">Lam and Athans, 2019</xref>). Therefore, experts suggested that TBW was not the appropriate polymyxin B dosing (<xref ref-type="bibr" rid="B10">Kassamali et&#x20;al., 2015</xref>; <xref ref-type="bibr" rid="B19">Meng et&#x20;al., 2017</xref>; <xref ref-type="bibr" rid="B20">Miglis et&#x20;al., 2018</xref>).</p>
<p>From a toxicology perspective, the use of TBW-based dosing in obese patients can lead to polymyxin B overexposure and risk of acute kidney injury (AKI). In a retrospective study of 151 patients, Nelson et&#x20;al. discovered that a daily dose &#x2265;250&#xa0;mg was an independent predictor of nephrotoxicity (OR 4.32, 95% CI 1.15&#x2013;16.25, <italic>p</italic>&#x20;&#x3d; 0.03) in multivariate analysis (<xref ref-type="bibr" rid="B21">Nelson et&#x20;al., 2015</xref>). A Meta-analysis also showed polymyxin dose had a significant relationship with the rate of nephrotoxicity (OR 1.89, 95% CI 1.40&#x2013;2.55, <italic>p</italic>&#x20;&#x3c; 0.001) (<xref ref-type="bibr" rid="B32">Wagenlehner et&#x20;al., 2021</xref>). These studies raised an important point about how to select polymyxin B dose for obese patients to maximize efficacy while balancing toxicity.</p>
<p>In view of the above, this study aimed to describe the population PK of polymyxin B for obese patients, as well as to design practical regimens for this population using Monte Carlo simulation.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>Materials and Methods</title>
<sec id="s2-1">
<title>Study Design</title>
<p>This retrospective observational study was performed in the First Affiliated Hospital of Zhengzhou University between April 2018 and March 2021. The inclusion criteria for subjects were as follows: 1) patients &#x2265;18&#xa0;years old; 2) body mass index (BMI) &#x2265; 30; 3) patients had received intravenous polymyxin B (sulfate; polymyxin B for injection, Shanghai First Biochemical Pharmaceutical Co., Ltd.) for MDR Gram-negative infections; 4) blood sampling at steady state for therapeutic drug monitoring (TDM) was available. Subjects were excluded if 1) patients with continuous renal replacement therapy (CRRT) or extracorporeal membrane oxygenation (ECMO); 2) concentrations were below the lower limit of quantitation. The study protocols were approved by Zhengzhou University Medical Research and Ethics Committee (2021-KY-0441).</p>
<p>Demographic and clinical data from electronic medical records were collected, including sex, age, TBW, IBW, ABW, height, body mass index (BMI), creatinine clearance (CrCL), serum creatinine, glomerular filtration rate (GFR), disease diagnosis, sequential organ failure assessment (SOFA) score within 3&#xa0;days around TDM sampling time, and dose strategy. IBW was calculated as [height (cm)/2.54&#x2013;60] &#xd7; 2.3&#xa0;kg &#x2b; 50&#xa0;kg (male) or 45.5&#xa0;kg (female). ABW was calculated as IBW &#x2b;0.4 &#xd7; (TBW&#x2014;IBW) (<xref ref-type="bibr" rid="B2">Al-Dorzi et&#x20;al., 2014</xref>). CrCL, adjusted CrCL, and ideal CrCL were calculated according to the Cockcroft-Gault equation by TBW, ABW, and IBW, respectively (<xref ref-type="bibr" rid="B7">Cockcroft and Gault, 1976</xref>; <xref ref-type="bibr" rid="B2">Al-Dorzi et&#x20;al., 2014</xref>). SOFA score was also collected (<xref ref-type="bibr" rid="B31">Vincent et&#x20;al., 1998</xref>).</p>
</sec>
<sec id="s2-2">
<title>Polymyxin B Administration and Assay</title>
<p>Polymyxin B was given to all patients empirically with a 100&#x2013;200&#xa0;mg loading dose and a 50&#x2013;100&#xa0;mg maintenance dose twice daily. The routine infusion time was at least 1&#xa0;hour. Polymyxin B treatment, including dosage, infusion time, and treatment course, was determined by their medical teams. Sampling procedures included the following two categories.</p>
<p>From April 2018 to May 2019, 4-7 blood samples (mainly C<sub>0h</sub>, C<sub>1h</sub>, C<sub>1.5h</sub>, C<sub>2h</sub>, C<sub>4h</sub>, C<sub>6h</sub>, and C<sub>8h</sub>) were collected on day 4 to calculate the area under the concentration across 12&#xa0;h at steady state (AUC<sub>ss,12h</sub>). From June 2019 to March 2021, according to our previous study, a 2-point model using the limited sampling strategy was a practical approach to estimating polymyxin B AUC<sub>ss,12h</sub>. Therefore, two blood samples (C<sub>0h</sub> and C<sub>2h</sub>) were collected. The infusion time was 1&#xa0;hour (<xref ref-type="bibr" rid="B34">Wang et&#x20;al., 2020c</xref>).</p>
<p>Blood samples were immediately centrifuged at 3,500 &#xd7; <italic>g</italic> for 10&#xa0;min. The supernatant was collected and then stored at &#x2212;80&#xb0;C until analysis. Polymyxin B concentrations (i.e.,&#x20;the polymyxin B1 concentration plus the polymyxin B2 concentration) were analyzed using a validated high-performance liquid chromatography-mass spectrometry method published by our laboratory (<xref ref-type="bibr" rid="B35">Wang et&#x20;al., 2020b</xref>). As previously reported, the assay was linear over 0.2&#x2013;10.0&#xa0;&#x3bc;g/ml for polymyxin B1 and 0.05&#x2013;2.5&#xa0;&#x3bc;g/ml for polymyxin B2. The intra- and inter-batch assay precision (RSD) ranged from 0 to 13.93% for quality control samples, and their corresponding accuracy (% relative error) ranged from &#x2212;11.56 to 11.13% (<xref ref-type="bibr" rid="B35">Wang et&#x20;al., 2020b</xref>). Since polymyxin B1 and B2 had similar structures, molecular weight, pharmacological activities, and pharmacokinetic characteristics, the plasma concentration of polymyxin B was summed to derive the total polymyxin B1 and B2 concentrations (<xref ref-type="bibr" rid="B29">Tam et&#x20;al., 2011</xref>; <xref ref-type="bibr" rid="B16">Manchandani et&#x20;al., 2016</xref>).</p>
</sec>
<sec id="s2-3">
<title>Population PK Modeling</title>
<p>Population PK modeling process was performed with the Phoenix<sup>&#xae;</sup> NLME software (v7.0, Pharsight, Mountain View, CA, USA). In brief, different PK models (one-, two-, or three-compartment models) were compared using the first-order conditional estimation-extended least-squares (FOCE ELS) method. The inter-individual variability (IIV) of PK parameters was assumed by additive, proportional, or mixed (additive plus proportional) models. The coefficient of variation (CV), the distribution of residuals in diagnostic plots, and the likelihood ratio test (-2 loglikelihood; -2LL) were used to evaluate the model. Following the basic structural modeling step, a stepwise process was used to consider several covariates, including age, TBW, BMI, IBW, ABW, sex, SOFA score, CrCL, adjusted CrCL, ideal CrCL, serum creatinine, and GFR. A drop &#x3e;6.63 (<italic>p</italic>&#x20;&#x3d; 0.01) of objective function value (OFV; -2LL) for forward addition and an increase of OFV &#x3e;10.83 (<italic>p</italic>&#x20;&#x3d; 0.001) for backward elimination were the inclusion criteria for covariates. After covariate selection, based on the scatter plot and &#x394;OFV (a drop of OFV &#x3e;6.63), the relevant correlation between random effects was also explored.</p>
<p>For model evaluation, the goodness-of-fit (GOF) plots were used to evaluate the reliability of the final model. A prediction-corrected visual predictive check (pc-VPC) with 1,000 replicates was simulated to obtain the predictive performance. A bootstrap procedure with 1,000 samples was conducted to evaluate the precision of the parameter estimates.</p>
</sec>
<sec id="s2-4">
<title>Monte Carlo Simulations</title>
<p>Based on the final population PK model, Monte Carlo simulations with 1,000 subjects were performed for five fixed regimens (three regular regimens and two high-dose regimens, <xref ref-type="bibr" rid="B17">Manchandani et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B15">Lu et&#x20;al., 2021</xref>), TBW-based regimens, ABW-based regimens, and IBW-based regimens on the fourth day. Five fixed regimens were 100&#xa0;mg loading dose followed by 50&#xa0;mg maintenance dose every 12&#xa0;h (q12h), 150&#xa0;mg followed by 75&#xa0;mg q12h, 200&#xa0;mg followed by 100&#xa0;mg q12h, 250&#xa0;mg followed by 125&#xa0;mg q12h, and 300&#xa0;mg followed by 150&#xa0;mg q12h. Bodyweight-based regimens were 2.5&#xa0;mg/kg loading dose followed by 1.25&#xa0;mg/kg or 1.5&#xa0;mg/kg q12h at the 10th, 50th, and 90th percentiles of TBW (75, 90, and 120&#xa0;kg), ABW (62, 76, and 89&#xa0;kg) and IBW (51, 66, and 70&#xa0;kg), respectively. Infusion rate was set as 50&#xa0;mg/h. The exposure threshold of polymyxin B (AUC<sub>ss,24h</sub>) was 50&#x2013;100&#xa0;mg h/L and the AUC<sub>ss,24h</sub> of &#x3e;100&#xa0;mg h/L was the predictor for the probability of nephrotoxicity (<xref ref-type="bibr" rid="B30">Tsuji et&#x20;al., 2019</xref>).</p>
<p>Additionally, the probability of target attainment (PTA) for the PK/pharmacodynamic (PK/PD) target for the above regimens was also estimated. Since only total-drug AUC was estimated in this study, a total-drug AUC<sub>0-24</sub>/MIC &#x3e;50 for <italic>Enterobacteriaceae</italic>, <italic>P. aeruginosa</italic>, and <italic>A. baumannii</italic> was calculated for seven different MICs ranging from 0.125 to 8&#xa0;mg/L over the first 24&#xa0;h of treatment (<xref ref-type="bibr" rid="B12">Lakota et&#x20;al., 2018</xref>). Dosing regimens were considered appropriate for PTA &#x2265;90%.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>Patients</title>
<p>A total of 26 patients who contributed to 142 polymyxin B plasma concentrations were included in the study. Among them, 10 (67 samples) contributed to 4-7 blood samples (<xref ref-type="fig" rid="F1">Figure&#x20;1</xref>), including 4 reported in our previous report (<xref ref-type="bibr" rid="B34">Wang et&#x20;al., 2020c</xref>; <xref ref-type="bibr" rid="B36">Wang et&#x20;al., 2021</xref>), and 16 (75 samples) contributed to TDM data. The characteristics of patients were summarized in <xref ref-type="table" rid="T1">Table&#x20;1</xref>.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Concentration-time profile of Polymyxin B at steady state. The circles represent multiple-time point sampling; the triangles represent two-time point sampling.</p>
</caption>
<graphic xlink:href="fphar-12-754844-g001.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Demographic characteristics of patients.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Characteristic</th>
<th align="center">Values (<italic>n</italic>&#x20;&#x3d; 26)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Gender</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Male, %</td>
<td align="char" char="(">17 (65.38%)</td>
</tr>
<tr>
<td align="left">&#x2003;Female, %</td>
<td align="char" char="(">9 (34.62%)</td>
</tr>
<tr>
<td align="left">&#x2003;Age (year)</td>
<td align="char" char="(">52 (18&#x2013;83)</td>
</tr>
<tr>
<td align="left">&#x2003;Weight (kg)</td>
<td align="char" char="(">90 (75&#x2013;125)</td>
</tr>
<tr>
<td align="left">&#x2003;BMI</td>
<td align="char" char="(">32.65 (30.04&#x2013;40.35)</td>
</tr>
<tr>
<td align="left">&#x2003;IBW</td>
<td align="char" char="(">65.94 (48.76&#x2013;74.99)</td>
</tr>
<tr>
<td align="left">&#x2003;ABW</td>
<td align="char" char="(">75.15 (59.26&#x2013;92.82)</td>
</tr>
<tr>
<td align="left">&#x2003;CrCL (ml/min)</td>
<td align="char" char="(">84.04 (21.35&#x2013;239.99)</td>
</tr>
<tr>
<td align="left">&#x2003;Adjusted CrCL (ml/min)</td>
<td align="char" char="(">71.83 (19.57&#x2013;201.67)</td>
</tr>
<tr>
<td align="left">&#x2003;Ideal CrCL (ml/min)</td>
<td align="char" char="(">65.94 (13.50&#x2013;125.71)</td>
</tr>
<tr>
<td align="left">&#x2003;Serum creatinine (&#xb5;mol/L)</td>
<td align="char" char="(">76 (34&#x2013;368)</td>
</tr>
<tr>
<td align="left">&#x2003;GFR (mL/min&#x22c5;1.73&#xa0;m<sup>2</sup>)</td>
<td align="char" char="(">80.90 (11.26&#x2013;149.57)</td>
</tr>
<tr>
<td align="left">&#x2003;Daily dose/body weight (mg/kg)</td>
<td align="char" char="(">1.65 (0.92&#x2013;2.70)</td>
</tr>
<tr>
<td align="left">&#x2003;SOFA score</td>
<td align="char" char="(">10 (5&#x2013;17)</td>
</tr>
<tr>
<td align="left">Infection sites</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Lung</td>
<td align="center">24</td>
</tr>
<tr>
<td align="left">&#x2003;Bloodstream</td>
<td align="center">9</td>
</tr>
<tr>
<td align="left">&#x2003;Abdomen</td>
<td align="center">4</td>
</tr>
<tr>
<td align="left">&#x2003;Intracranial</td>
<td align="center">1</td>
</tr>
<tr>
<td align="left">Pathogenic bacteria cultures</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;<italic>Acinetobacter baumannii</italic>
</td>
<td align="center">13</td>
</tr>
<tr>
<td align="left">&#x2003;<italic>Klebsiella pneumoniae</italic>
</td>
<td align="center">14</td>
</tr>
<tr>
<td align="left">&#x2003;<italic>Pseudomonas aeruginosa</italic>
</td>
<td align="center">3</td>
</tr>
<tr>
<td align="left">&#x2003;<italic>Escherichia coli</italic>
</td>
<td align="center">2</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CrCL, creatinine clearance; GFR, glomerular filtration rate; Values were median (range) or No. (%).</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-2">
<title>Population PK Model</title>
<p>The plasma steady state concentration-time profile during a 12-h dosing interval of polymyxin B was shown in <xref ref-type="fig" rid="F1">Figure&#x20;1</xref>. Based on OFV, CV values, and diagnostic plots, a two-compartment model was chosen as the structural model, and the proportional error model was tested to describe IIV. The basic PK parameters were the volume of central compartment distribution (V), central compartment clearance (CL), volume of peripheral compartment distribution (V2), and inter-compartmental clearance (Q). Because of shrinkage factor &#x3e;0.5, the random effect of V was not taken into the model. In the covariate analysis, age, TBW, BMI, IBW, ABW, sex, SOFA score, CrCLs, serum creatinine, and GFR had no systematic relationship with PK parameters. No correlation between random effects was found during modeling. As a result, the final population PK parameter estimates along with their bootstrap validation estimates were shown in <xref ref-type="table" rid="T2">Table&#x20;2</xref>. Goodness-of-fit plots were presented in <xref ref-type="fig" rid="F2">Figure&#x20;2</xref>. Since all rich blood samples were collected on day 4, to accurately characterize the population PK characteristics of polymyxin B, the pc-VPC plots of the final model were presented in <xref ref-type="fig" rid="F3">Figure&#x20;3</xref> and Supplementary Figure&#x20;1.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Parameter estimates of the final population pharmacokinetic models.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Parameter</th>
<th colspan="5" align="center">Final model</th>
<th colspan="4" align="center">Bootstrap</th>
</tr>
<tr>
<th align="center">Estimate</th>
<th align="center">SE</th>
<th align="center">RSE (%)</th>
<th align="center">95% CI</th>
<th align="center">Shrinkage (%)</th>
<th align="center">Median</th>
<th align="center">SE</th>
<th align="center">RSE (%)</th>
<th align="center">95% CI</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">tvV</td>
<td align="char" char=".">11.24</td>
<td align="char" char=".">1.56</td>
<td align="char" char=".">13.87</td>
<td align="char" char="ndash">8.16&#x2013;14.32</td>
<td align="center">NA</td>
<td align="char" char=".">11.46</td>
<td align="char" char=".">2.26</td>
<td align="char" char=".">19.05</td>
<td align="char" char="ndash">8.92&#x2013;17.36</td>
</tr>
<tr>
<td align="left">tvV2</td>
<td align="char" char=".">39.70</td>
<td align="char" char=".">12.09</td>
<td align="char" char=".">30.46</td>
<td align="char" char=".">15.79&#x2013;63.61</td>
<td align="center">6.15</td>
<td align="char" char=".">40.46</td>
<td align="char" char=".">25.56</td>
<td align="char" char=".">54.48</td>
<td align="char" char=".">18.71&#x2013;122.42</td>
</tr>
<tr>
<td align="left">tvCL</td>
<td align="char" char=".">2.86</td>
<td align="char" char=".">0.25</td>
<td align="char" char=".">8.62</td>
<td align="char" char="ndash">2.37&#x2013;3.36</td>
<td align="center">32.40</td>
<td align="char" char=".">2.73</td>
<td align="char" char=".">0.31</td>
<td align="char" char=".">11.39</td>
<td align="char" char="ndash">2.11&#x2013;3.33</td>
</tr>
<tr>
<td align="left">tvQ</td>
<td align="char" char=".">7.36</td>
<td align="char" char=".">1.57</td>
<td align="char" char=".">21.38</td>
<td align="char" char="ndash">4.25&#x2013;10.48</td>
<td align="center">25.34</td>
<td align="char" char=".">7.71</td>
<td align="char" char=".">3.15</td>
<td align="char" char=".">12.86</td>
<td align="char" char="ndash">4.69&#x2013;13.39</td>
</tr>
<tr>
<td colspan="10" align="left">Inter-individual variability</td>
</tr>
<tr>
<td align="left">&#x2003;<italic>&#x3c9;</italic>
<sup>2</sup>CL</td>
<td align="char" char=".">0.17</td>
<td align="char" char=".">0.05</td>
<td align="char" char=".">29.41</td>
<td align="char" char="ndash">0.07&#x2013;0.27</td>
<td align="center">NA</td>
<td align="char" char=".">0.17</td>
<td align="char" char=".">0.06</td>
<td align="char" char=".">35.29</td>
<td align="char" char="ndash">0.05&#x2013;0.29</td>
</tr>
<tr>
<td align="left">&#x2003;<italic>&#x3c9;</italic>
<sup>2</sup>V2</td>
<td align="char" char=".">1.00</td>
<td align="char" char=".">0.47</td>
<td align="char" char=".">47.0</td>
<td align="char" char="ndash">0.07&#x2013;1.92</td>
<td align="center">NA</td>
<td align="char" char=".">0.87</td>
<td align="char" char=".">0.36</td>
<td align="char" char=".">41.38</td>
<td align="char" char="ndash">0.16&#x2013;1.58</td>
</tr>
<tr>
<td align="left">&#x2003;<italic>&#x3c9;</italic>
<sup>2</sup>Q</td>
<td align="char" char=".">0.43</td>
<td align="char" char=".">0.14</td>
<td align="char" char=".">32.56</td>
<td align="char" char="ndash">0.16&#x2013;0.70</td>
<td align="center">NA</td>
<td align="char" char=".">0.59</td>
<td align="char" char=".">0.19</td>
<td align="char" char=".">32.20</td>
<td align="char" char="ndash">0.22&#x2013;0.96</td>
</tr>
<tr>
<td colspan="10" align="left">Residual variability (<italic>&#x3c3;</italic>)</td>
</tr>
<tr>
<td align="left">&#x2003;stdev0</td>
<td align="char" char=".">0.24</td>
<td align="char" char=".">0.02</td>
<td align="char" char=".">7.87</td>
<td align="char" char="ndash">0.20&#x2013;0.28</td>
<td align="center">NA</td>
<td align="char" char=".">0.24</td>
<td align="char" char=".">0.03</td>
<td align="char" char=".">12.86</td>
<td align="char" char="ndash">0.18&#x2013;0.30</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>SE, standard error; RSE, relative standard error; CI, confidence interval; tvV, typical value of central compartment distribution volume (V); V2, peripheral compartment distribution volume; CL, central compartment clearance; Q, inter-compartmental clearance (Q, CL2); <italic>&#x3c9;</italic>CL, variance of inter-individual variability for CL; stdev0, standard deviation; NA, not applicable.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Goodness-of-fit plots for the final population pharmacokinetic model. <bold>(A)</bold> Conditional weighted residuals versus time (CWRES vs. IVAR); <bold>(B)</bold> Conditional weighted residuals versus population predicted concentrations (CWRES vs. PRED); <bold>(C)</bold> Observed versus individual predicted concentrations (DV vs. IPRED); <bold>(D)</bold> Observed versus population predicted concentrations (DV vs. PRED).</p>
</caption>
<graphic xlink:href="fphar-12-754844-g002.tif"/>
</fig>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>The partial prediction corrected-visual predictive check of the final model. The red lines represent the 5th, 50th, and 95th percentiles of the observed concentrations; the shaded areas represent the 90% confidence intervals of the 5th, 50th, and 95th percentiles of the simulated concentrations, respectively; the dots represent the observed data; DV, observed concentration; IVAR, Time.</p>
</caption>
<graphic xlink:href="fphar-12-754844-g003.tif"/>
</fig>
</sec>
<sec id="s3-3">
<title>Monte Carlo Simulations and PTA</title>
<p>Based on the final model, Monte Carlo simulations for five fixed regimens and bodyweight-based regimens were presented in <xref ref-type="fig" rid="F4">Figure&#x20;4</xref> and <xref ref-type="table" rid="T3">Table&#x20;3</xref>. For fixed regimens, the probabilities of achieving target exposure of 100&#xa0;mg q12h fixed dosage (59.8%) were much higher than that of 50&#xa0;mg or 75&#xa0;mg q12h regimens (13.0 and 43.6%). In case of 125 and150&#xa0;mg q12h, 28.6 and 47.7% of patients had the AUC<sub>ss,24h</sub> &#x3e; 100&#xa0;mg h/L. As to bodyweight-based regimens, two TBW-based regimens at 120&#xa0;kg had a high risk of toxicity (48.1 and 64.5%) and two IBW-based regimens at 51&#xa0;kg had a low likelihood of achieving efficacious exposure (31.1 and 45.7%). While, in terms of ABW-based regimens, all regimens had a high probability of achieving target exposure (47.3&#x2013;62.8%).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Violin plot of simulation results of polymyxin B exposures (AUC<sub>ss,24h</sub>). <bold>(A)</bold> Five fixed regimens; <bold>(B)</bold> Bodyweight-based regimens. The dot lines present the interquartile of simulated exposure; the solid lines present the median of simulated exposure; the red dashed lines present the upper and lower limit of targeted exposure (50&#x2013;100&#xa0;mg h/L).</p>
</caption>
<graphic xlink:href="fphar-12-754844-g004.tif"/>
</fig>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Probability (%) of target AUC and toxicity and PTA for different polymyxin B regimens according to the 10th, 50th, and 90th percentiles of TBW, ABW, and IBW.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Dosing regimens</th>
<th rowspan="2" align="center">Weight (kg)</th>
<th colspan="3" align="center">Probability (%) of</th>
<th colspan="7" align="center">PTA for different MICs (mg/L)</th>
</tr>
<tr>
<th align="center">Target AUC</th>
<th align="center">Toxicity</th>
<th align="center">0.125</th>
<th align="center">0.25</th>
<th align="center">0.5</th>
<th align="center">1</th>
<th align="center">2</th>
<th align="center">4</th>
<th align="center">8</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">100&#xa0;mg &#x2b; 50&#xa0;mg q12&#xa0;h</td>
<td align="center">/</td>
<td align="char" char=".">13.0</td>
<td align="char" char=".">0.2</td>
<td align="char" char=".">100</td>
<td align="char" char=".">98.5</td>
<td align="char" char=".">74.7</td>
<td align="char" char=".">13.8</td>
<td align="char" char=".">0</td>
<td align="char" char=".">0</td>
<td align="char" char=".">0</td>
</tr>
<tr>
<td align="left">150&#xa0;mg &#x2b; 75&#xa0;mg q12&#xa0;h</td>
<td align="center">/</td>
<td align="char" char=".">43.6</td>
<td align="char" char=".">4.4</td>
<td align="char" char=".">100</td>
<td align="char" char=".">100</td>
<td align="char" char=".">95.4</td>
<td align="char" char=".">47.5</td>
<td align="char" char=".">2.7</td>
<td align="char" char=".">0</td>
<td align="char" char=".">0</td>
</tr>
<tr>
<td align="left">200&#xa0;mg &#x2b; 100&#xa0;mg q12&#xa0;h</td>
<td align="center">/</td>
<td align="char" char=".">59.8</td>
<td align="char" char=".">13.5</td>
<td align="char" char=".">100</td>
<td align="char" char=".">100</td>
<td align="char" char=".">98.5</td>
<td align="char" char=".">72.0</td>
<td align="char" char=".">11.9</td>
<td align="char" char=".">0</td>
<td align="char" char=".">0</td>
</tr>
<tr>
<td align="left">200&#xa0;mg &#x2b; 125&#xa0;mg q12&#xa0;h</td>
<td align="center">/</td>
<td align="char" char=".">60.6</td>
<td align="char" char=".">28.6</td>
<td align="char" char=".">100</td>
<td align="char" char=".">100</td>
<td align="char" char=".">99.4</td>
<td align="char" char=".">87.7</td>
<td align="char" char=".">27.4</td>
<td align="char" char=".">0.2</td>
<td align="char" char=".">0</td>
</tr>
<tr>
<td align="left">200&#xa0;mg &#x2b; 150&#xa0;mg q12&#xa0;h</td>
<td align="center">/</td>
<td align="char" char=".">46.6</td>
<td align="char" char=".">47.7</td>
<td align="char" char=".">100</td>
<td align="char" char=".">100</td>
<td align="char" char=".">19.9</td>
<td align="char" char=".">93.2</td>
<td align="char" char=".">45.5</td>
<td align="char" char=".">3.7</td>
<td align="char" char=".">0</td>
</tr>
<tr>
<td rowspan="3" align="left">2.5&#xa0;mg/kg&#x2b;1.25&#xa0;mg/kg q12h; TBW</td>
<td align="center">75</td>
<td align="char" char=".">59.0</td>
<td align="char" char=".">11.1</td>
<td align="char" char=".">100</td>
<td align="char" char=".">100</td>
<td align="char" char=".">97.9</td>
<td align="char" char=".">69.3</td>
<td align="char" char=".">10.5</td>
<td align="char" char=".">0</td>
<td align="char" char=".">0</td>
</tr>
<tr>
<td align="center">90</td>
<td align="char" char=".">59.2</td>
<td align="char" char=".">23.1</td>
<td align="char" char=".">100</td>
<td align="char" char=".">100</td>
<td align="char" char=".">99.1</td>
<td align="char" char=".">81.5</td>
<td align="char" char=".">22.1</td>
<td align="char" char=".">0</td>
<td align="char" char=".">0</td>
</tr>
<tr>
<td align="center">120</td>
<td align="char" char=".">46.7</td>
<td align="char" char=".">48.1</td>
<td align="char" char=".">100</td>
<td align="char" char=".">100</td>
<td align="char" char=".">100</td>
<td align="char" char=".">95.9</td>
<td align="char" char=".">47.8</td>
<td align="char" char=".">2.6</td>
<td align="char" char=".">0</td>
</tr>
<tr>
<td rowspan="3" align="left">2.5&#xa0;mg/kg&#x2b;1.25&#xa0;mg/kg q12h; ABW</td>
<td align="center">62</td>
<td align="char" char=".">47.3</td>
<td align="char" char=".">4.9</td>
<td align="char" char=".">100</td>
<td align="char" char=".">100</td>
<td align="char" char=".">96.1</td>
<td align="char" char=".">52.1</td>
<td align="char" char=".">4.4</td>
<td align="char" char=".">0</td>
<td align="char" char=".">0</td>
</tr>
<tr>
<td align="center">76</td>
<td align="char" char=".">55.9</td>
<td align="char" char=".">12.9</td>
<td align="char" char=".">100</td>
<td align="char" char=".">100</td>
<td align="char" char=".">98.3</td>
<td align="char" char=".">69.4</td>
<td align="char" char=".">11.4</td>
<td align="char" char=".">0</td>
<td align="char" char=".">0</td>
</tr>
<tr>
<td align="center">89</td>
<td align="char" char=".">62.8</td>
<td align="char" char=".">19.9</td>
<td align="char" char=".">100</td>
<td align="char" char=".">100</td>
<td align="char" char=".">99.2</td>
<td align="char" char=".">81.5</td>
<td align="char" char=".">17.1</td>
<td align="char" char=".">0</td>
<td align="char" char=".">0</td>
</tr>
<tr>
<td rowspan="3" align="left">2.5&#xa0;mg/kg&#x2b;1.25&#xa0;mg/kg q12h; IBW</td>
<td align="center">51</td>
<td align="char" char=".">31.1</td>
<td align="char" char=".">1.3</td>
<td align="char" char=".">100</td>
<td align="char" char=".">99.9</td>
<td align="char" char=".">90.9</td>
<td align="char" char=".">33.4</td>
<td align="char" char=".">0.6</td>
<td align="char" char=".">0</td>
<td align="char" char=".">0</td>
</tr>
<tr>
<td align="center">66</td>
<td align="char" char=".">50.1</td>
<td align="char" char=".">5.3</td>
<td align="char" char=".">100</td>
<td align="char" char=".">99.9</td>
<td align="char" char=".">95.4</td>
<td align="char" char=".">58.4</td>
<td align="char" char=".">5.1</td>
<td align="char" char=".">0</td>
<td align="char" char=".">0</td>
</tr>
<tr>
<td align="center">70</td>
<td align="char" char=".">56.5</td>
<td align="char" char=".">7.5</td>
<td align="char" char=".">100</td>
<td align="char" char=".">100</td>
<td align="char" char=".">97.3</td>
<td align="char" char=".">63.9</td>
<td align="char" char=".">6.0</td>
<td align="char" char=".">0</td>
<td align="char" char=".">0</td>
</tr>
<tr>
<td rowspan="3" align="left">2.5&#xa0;mg/kg&#x2b;1.5&#xa0;mg/kg q12h; TBW</td>
<td align="center">75</td>
<td align="char" char=".">61.9</td>
<td align="char" char=".">21.9</td>
<td align="char" char=".">100</td>
<td align="char" char=".">100</td>
<td align="char" char=".">98.6</td>
<td align="char" char=".">73.4</td>
<td align="char" char=".">13.0</td>
<td align="char" char=".">0</td>
<td align="char" char=".">0</td>
</tr>
<tr>
<td align="center">90</td>
<td align="char" char=".">53.1</td>
<td align="char" char=".">38.2</td>
<td align="char" char=".">100</td>
<td align="char" char=".">100</td>
<td align="char" char=".">99.4</td>
<td align="char" char=".">83.9</td>
<td align="char" char=".">25.5</td>
<td align="char" char=".">0.2</td>
<td align="char" char=".">0</td>
</tr>
<tr>
<td align="center">120</td>
<td align="char" char=".">34.0</td>
<td align="char" char=".">64.5</td>
<td align="char" char=".">100</td>
<td align="char" char=".">100</td>
<td align="char" char=".">100</td>
<td align="char" char=".">94.9</td>
<td align="char" char=".">51.0</td>
<td align="char" char=".">2.0</td>
<td align="char" char=".">0</td>
</tr>
<tr>
<td rowspan="3" align="left">2.5&#xa0;mg/kg&#x2b;1.5&#xa0;mg/kg q12h; ABW</td>
<td align="center">62</td>
<td align="char" char=".">58.4</td>
<td align="char" char=".">10.5</td>
<td align="char" char=".">100</td>
<td align="char" char=".">100</td>
<td align="char" char=".">96.7</td>
<td align="char" char=".">58.1</td>
<td align="char" char=".">6.0</td>
<td align="char" char=".">0</td>
<td align="char" char=".">0</td>
</tr>
<tr>
<td align="center">76</td>
<td align="char" char=".">59.4</td>
<td align="char" char=".">22.6</td>
<td align="char" char=".">100</td>
<td align="char" char=".">100</td>
<td align="char" char=".">98.7</td>
<td align="char" char=".">74.4</td>
<td align="char" char=".">14.4</td>
<td align="char" char=".">0</td>
<td align="char" char=".">0</td>
</tr>
<tr>
<td align="center">89</td>
<td align="char" char=".">55.8</td>
<td align="char" char=".">36.2</td>
<td align="char" char=".">100</td>
<td align="char" char=".">100</td>
<td align="char" char=".">99.6</td>
<td align="char" char=".">84.2</td>
<td align="char" char=".">22.2</td>
<td align="char" char=".">0</td>
<td align="char" char=".">0</td>
</tr>
<tr>
<td rowspan="3" align="left">2.5&#xa0;mg/kg&#x2b;1.5&#xa0;mg/kg q12h; IBW</td>
<td align="center">51</td>
<td align="char" char=".">45.7</td>
<td align="char" char=".">4.2</td>
<td align="char" char=".">100</td>
<td align="char" char=".">99.9</td>
<td align="char" char=".">92.4</td>
<td align="char" char=".">38.3</td>
<td align="char" char=".">1.0</td>
<td align="char" char=".">0</td>
<td align="char" char=".">0</td>
</tr>
<tr>
<td align="center">66</td>
<td align="char" char=".">57.7</td>
<td align="char" char=".">13.3</td>
<td align="char" char=".">100</td>
<td align="char" char=".">99.9</td>
<td align="char" char=".">97.0</td>
<td align="char" char=".">62.9</td>
<td align="char" char=".">6.7</td>
<td align="char" char=".">0</td>
<td align="char" char=".">0</td>
</tr>
<tr>
<td align="center">70</td>
<td align="char" char=".">64.4</td>
<td align="char" char=".">15.3</td>
<td align="char" char=".">100</td>
<td align="char" char=".">100</td>
<td align="char" char=".">98.2</td>
<td align="char" char=".">68.5</td>
<td align="char" char=".">8.1</td>
<td align="char" char=".">0</td>
<td align="char" char=".">0</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Target AUC: 50&#x2013;100&#xa0;mg&#xa0;h/L; toxicity: AUC &#x3e;100&#xa0;mg&#xa0;h/L; PTA: the probability of target attainment; TBW, total body weight; ABW, adjusted body weight; IBW, ideal body weight.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>In addition, the PTAs for various dosing regimens were presented in <xref ref-type="table" rid="T3">Table&#x20;3</xref>. In AUC<sub>0-24</sub>/MIC &#x3e;50 levels, the PTAs of all simulated regimens except 100&#xa0;mg loading dose plus 50&#xa0;mg q12h fixed dosage were greater than 90% when MIC values ranged from 0.125 to 0.5&#xa0;mg/L. For a MIC of 1.0&#xa0;mg/L, only a fixed dose of 150&#xa0;mg q12h and two TBW-based regimens for patients who weighed 120&#xa0;kg had the PTAs over 90%. When MIC values &#x2265;2.0&#xa0;mg/L, no regimen could achieve a &#x2265;90%&#x20;PTA.</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>As a weight-based dosing antibiotic with a narrow therapeutic window, polymyxin B regimen in obese patients is particularly concerning. The present study developed a two-compartment model to describe the population PK profile of polymyxin B in obese patients. The typical CL value was 2.86&#xa0;L/h, which was slightly higher than previous reports (range, 1.87&#x2013;2.63&#xa0;L/h). In terms of V and V2 estimates, the values varied widely between studies (<xref ref-type="bibr" rid="B5">Avedissian et&#x20;al., 2019</xref>). Compared with the PK parameters reported by our group and Sandri et&#x20;al, the typical V value (11.24 L, <xref ref-type="table" rid="T2">Table&#x20;2</xref>) was higher than those of 6.22&#x2013;6.98&#xa0;L. In particular, the V2 value (39.70&#xa0;L) was triple to quadrupled that reported previously (10.57&#x2013;11.97&#xa0;L) (<xref ref-type="bibr" rid="B26">Sandri et&#x20;al., 2013</xref>; <xref ref-type="bibr" rid="B34">Wang et&#x20;al., 2020c</xref>; <xref ref-type="bibr" rid="B36">Wang et&#x20;al., 2021</xref>). Although polymyxin B is a weight-based drug, no effect of TBW, BMI, IBW, or ABW on polymyxin B PK parameters was observed in this study. This might be because the bodyweight range (75&#x2013;125&#xa0;kg) was narrow.</p>
<p>Obesity can cause related pathophysiological changes that could theoretically alter the PK characteristic of drugs, such as increased Vd, altered hepatic metabolism, renal CL, and protein binding. An understanding of how the Vd of a drug changes in obesity is critical because this parameter determines loading-dose selection (<xref ref-type="bibr" rid="B8">Hanley et&#x20;al., 2010</xref>). Vd is affected by physicochemical property (lipophilicity or hydrophilicity), plasma protein binding rate, and tissue blood flow (<xref ref-type="bibr" rid="B2">Al-Dorzi et&#x20;al., 2014</xref>; <xref ref-type="bibr" rid="B25">Polso et&#x20;al., 2014</xref>). Hydrophilic drugs typically have a low Vd, poor tissue penetration, less deposition in fat, and are primarily excreted through the kidneys. Vd is little affected by obesity and is closely related to IBW or ABW (<xref ref-type="bibr" rid="B2">Al-Dorzi et&#x20;al., 2014</xref>; <xref ref-type="bibr" rid="B28">Shashaty and Stapleton, 2014</xref>). However, polymyxin B, as a hydrophilic drug, has the low to intermediate Vd (about 6.3&#x2013;47.2&#xa0;L), intermediate to high protein binding (about 58&#x2013;90%), and non-renal elimination pathways (<xref ref-type="bibr" rid="B26">Sandri et&#x20;al., 2013</xref>; <xref ref-type="bibr" rid="B1">Abodakpi et&#x20;al., 2015</xref>; <xref ref-type="bibr" rid="B5">Avedissian et&#x20;al., 2019</xref>), which makes it difficult to predict the effect of obesity on polymyxin B Vd. In this study, both the V and V2 values of polymyxin B in obese patients were higher than those in non-obese patients as previously reported (<xref ref-type="bibr" rid="B34">Wang et&#x20;al., 2020c</xref>; <xref ref-type="bibr" rid="B36">Wang et&#x20;al., 2021</xref>). However, it has also been reported that the V and V2 values of polymyxin B in non-obese patients ranged from 6.3 to 78.2&#xa0;L (<xref ref-type="bibr" rid="B5">Avedissian et&#x20;al., 2019</xref>). More research will be required.</p>
<p>With regard to CL, it is the primary determinant when designing a maintenance dose. CL is largely controlled by hepatic and renal physiology (<xref ref-type="bibr" rid="B8">Hanley et&#x20;al., 2010</xref>). As polymyxin B is primarily eliminated by non-renal pathways, obesity is proposed to have only a minor effect on polymyxin B CL, which was observed in this study. On the other hand, many obese patients have co-morbidities such as arterial hypertension, and diabetes (<xref ref-type="bibr" rid="B9">Hites and Taccone, 2015</xref>). Therefore, renal insufficiency is common in this population, which may influence polymyxin B CL. In this study, CrCL values varied largely (range from 21.35&#xa0;ml/min to 239.99&#xa0;ml/min); however, no effect of CrCL on polymyxin B PK parameter was observed during modeling.</p>
<p>Simulations of likely polymyxin B AUC<sub>ss,24h</sub> in the obese patients were conducted for various dosing strategies (<xref ref-type="fig" rid="F4">Figure&#x20;4</xref>). For five fixed regimens, the dose of 50&#xa0;mg or 75&#xa0;mg q12h was obviously too low and the dose of 125&#xa0;mg or 150 q12h was too high for the obese population. The dose of 100&#xa0;mg q12h had the high probability of achieving target exposure (AUC<sub>ss,24h</sub> of 50&#x2013;100&#xa0;mg h/L) with the low probability of achieving an exposure higher than the proposed target window (AUC<sub>ss,24h</sub> &#x3e; 100&#xa0;mg h/L). As to bodyweight-based regimens, TBW-based regimens at 120&#xa0;kg resulted in a high probability of toxicity, IBW-based regimens at 51&#xa0;kg were associated with a low likelihood of achieving therapeutic window, and all ABW-based regimens had a high probability of achieving target exposure. At present, TBW adjustment is the recommended dosing strategy used in package insert and medication guides (<xref ref-type="bibr" rid="B14">Li et&#x20;al., 2019</xref>; <xref ref-type="bibr" rid="B30">Tsuji et&#x20;al., 2019</xref>). Nevertheless, there is growing scientific evidence that TBW may not or imperceptibly alter polymyxin B PK parameters (<xref ref-type="bibr" rid="B11">Kubin et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B17">Manchandani et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B20">Miglis et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B34">Wang et&#x20;al., 2020c</xref>; <xref ref-type="bibr" rid="B36">Wang et&#x20;al., 2021</xref>; <xref ref-type="bibr" rid="B37">Yu et&#x20;al., 2021</xref>). Manchandani et&#x20;al. studied 35 patients with a wide range of body weight (36&#x2013;112&#xa0;kg) and found the best-fit volume of distribution could not be predicted by TBW (<xref ref-type="bibr" rid="B17">Manchandani et&#x20;al., 2018</xref>). Miglis et&#x20;al. found that when ABW-based regimens (52, 70, and 85&#xa0;kg) were associated with a lower probability of toxicity than that obtained in TBW (50, 75, and 110&#xa0;kg)-based simulations (<xref ref-type="bibr" rid="B20">Miglis et&#x20;al., 2018</xref>). This result was consistent with our research.</p>
<p>In addition to the PTA analysis (<xref ref-type="table" rid="T3">Table&#x20;3</xref>), when MIC values &#x2264;0.5&#xa0;mg/L, all regimens with a loading dose could achieve a &#x2265;90% PTA, except 100&#xa0;mg loading dose plus 50&#xa0;mg q12h fixed. This finding was in agreement with those reports that a loading dose of up to 2.5&#xa0;mg/kg may be required to achieve PK/PD targets (<xref ref-type="bibr" rid="B4">Avedissian et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B20">Miglis et&#x20;al., 2018</xref>). At a MIC of 1.0&#xa0;mg/L, only a fixed dose of 150&#xa0;mg q12h and two TBW-based regimens for patients weighing 120&#xa0;kg had the PTAs over 90%. However, under these regimens, 47.7%&#x2013;64.5% of patients would have the AUC<sub>ss,24h</sub> greater than 100&#xa0;mg h/L based on Monte Carlo simulations (<xref ref-type="table" rid="T3">Table&#x20;3</xref>). Given that polymyxin B may need to be used to combat extensively drug-resistant organisms that possess a polymyxin MIC of 1.0&#xa0;mg/L, clinicians should handle the situation with extreme caution and implement TDM. With the current EUCAST MIC breakpoints of 2.0&#xa0;mg/L (<xref ref-type="bibr" rid="B24">Pogue et&#x20;al., 2020</xref>; <xref ref-type="bibr" rid="B27">Satlin et&#x20;al., 2020</xref>), no regimen could achieve PTA &#x2265;90%. Recently, for insufficient data, particularly clinical PK/PD, CLSI has eliminated the &#x201c;susceptible&#x201d; interpretive category for polymyxins, whereas EUCAST maintained the MIC breakpoints for <italic>Enterobacterales</italic>, <italic>Acinetobacter spp</italic>., and <italic>P</italic>. <italic>aeruginosa</italic> (<xref ref-type="bibr" rid="B27">Satlin et&#x20;al., 2020</xref>). Taken together, the ABW-based regimens but with a daily dose &#x3c;250&#xa0;mg would be the optimum regimen for the obese population when MIC values &#x2264;0.5&#xa0;mg/L.</p>
<p>This analysis has some limitations. First, because only two morbidly obese patients (BMI &#x2265;40) were found during the screening process, the study participants only represented a panel of obese subjects (<xref ref-type="table" rid="T1">Table&#x20;1</xref>). Second, half of blood samples were obtained as part of clinical care for TDM, and therefore, both rich and sparse sampling schedules that differed between patients were included. Third, during the hospitalization of different patients, the polymyxin susceptibility testing methods have changed several times. As the high MW and low diffusing capacity, the very major error for polymyxin susceptibility was relatively high by different antimicrobial susceptibility test methods (<xref ref-type="bibr" rid="B23">Pfennigwerth et&#x20;al., 2019</xref>). Therefore, specific MIC distributions were unavailable. Lastly, this study was not designed to evaluate the clinical efficacy and toxicity of polymyxin B therapy in the obese population.</p>
</sec>
<sec sec-type="conclusion" id="s5">
<title>Conclusion</title>
<p>In conclusion, this study firstly developed a two-compartment population PK model of polymyxin B for obese patients. The results suggested that TBW, ABW, or IBW had no effect on PK parameters. Monte Carlo simulation indicated that ABW-based regimens could achieve adequate exposure with a lower risk of toxicity when compared to TBW-based regimens and the fixed dose of 125&#xa0;mg or 150&#xa0;mg would have a high probability of toxicity. PTAs results revealed that TBW, ABW, and IBW-based regimens had comparable PTA values. Therefore, for the obese population, ABW-based regimens but with a daily dose &#x3c;250&#xa0;mg would be the optimal regimen to improve polymyxin B therapeutic efficacy and reduce the incidence of nephrotoxicity with the MIC &#x2264;0.5&#xa0;mg/L.</p>
</sec>
</body>
<back>
<sec id="s6">
<title>Data Availability Statement</title>
<p>The raw data supporting the conclusion of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by the Zhengzhou University Medical Research and Ethics Committee. Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.</p>
</sec>
<sec id="s8">
<title>Author Contributions</title>
<p>PW contributed to data analysis and manuscript preparation. QZ performed the experiments. MF, TS, and XZ supervised the research and revised the manuscript. JY designed the research. All authors approved the final manuscript.</p>
</sec>
<sec id="s9">
<title>Funding</title>
<p>This work was supported by the National Key R&#x26;D Program of China (Grant No. 2020YFC2008304) and the National Natural Science Foundation of China (Grant No. 81703799 and 81803638).</p>
</sec>
<sec sec-type="COI-statement" id="s10">
<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="s11">
<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>
<ref-list>
<title>References</title>
<ref id="B1">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Abodakpi</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Gohlke</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Chang</surname>
<given-names>K. T.</given-names>
</name>
<name>
<surname>Chow</surname>
<given-names>D. S.</given-names>
</name>
<name>
<surname>Tam</surname>
<given-names>V. H.</given-names>
</name>
</person-group> (<year>2015</year>). <article-title>Analytical and Functional Determination of Polymyxin B Protein Binding in Serum</article-title>. <source>Antimicrob. Agents Chemother.</source> <volume>59</volume>, <fpage>7121</fpage>&#x2013;<lpage>7123</lpage>. <pub-id pub-id-type="doi">10.1128/AAC.01815-15</pub-id> </citation>
</ref>
<ref id="B2">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Al-Dorzi</surname>
<given-names>H. M.</given-names>
</name>
<name>
<surname>Al Harbi</surname>
<given-names>S. A.</given-names>
</name>
<name>
<surname>Arabi</surname>
<given-names>Y. M.</given-names>
</name>
</person-group> (<year>2014</year>). <article-title>Antibiotic Therapy of Pneumonia in the Obese Patient: Dosing and Delivery</article-title>. <source>Curr. Opin. Infect. Dis.</source> <volume>27</volume>, <fpage>165</fpage>&#x2013;<lpage>173</lpage>. <pub-id pub-id-type="doi">10.1097/QCO.0000000000000045</pub-id> </citation>
</ref>
<ref id="B3">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Alobaid</surname>
<given-names>A. S.</given-names>
</name>
<name>
<surname>Hites</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Lipman</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Taccone</surname>
<given-names>F. S.</given-names>
</name>
<name>
<surname>Roberts</surname>
<given-names>J.&#x20;A.</given-names>
</name>
</person-group> (<year>2016</year>). <article-title>Effect of Obesity on the Pharmacokinetics of Antimicrobials in Critically Ill Patients: A Structured Review</article-title>. <source>Int. J.&#x20;Antimicrob. Agents</source> <volume>47</volume>, <fpage>259</fpage>&#x2013;<lpage>268</lpage>. <pub-id pub-id-type="doi">10.1016/j.ijantimicag.2016.01.009</pub-id> </citation>
</ref>
<ref id="B4">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Avedissian</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Miglis</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Kubin</surname>
<given-names>C. J.</given-names>
</name>
<name>
<surname>Rhodes</surname>
<given-names>N. J.</given-names>
</name>
<name>
<surname>Yin</surname>
<given-names>M. T.</given-names>
</name>
<name>
<surname>Cremers</surname>
<given-names>S.</given-names>
</name>
<etal/>
</person-group> (<year>2018</year>). <article-title>Polymyxin B Pharmacokinetics in Adult Cystic Fibrosis Patients</article-title>. <source>Pharmacotherapy</source> <volume>38</volume>, <fpage>730</fpage>&#x2013;<lpage>738</lpage>. <pub-id pub-id-type="doi">10.1002/phar.2129</pub-id> </citation>
</ref>
<ref id="B5">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Avedissian</surname>
<given-names>S. N.</given-names>
</name>
<name>
<surname>Liu</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Rhodes</surname>
<given-names>N. J.</given-names>
</name>
<name>
<surname>Lee</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Pais</surname>
<given-names>G. M.</given-names>
</name>
<name>
<surname>Hauser</surname>
<given-names>A. R.</given-names>
</name>
<etal/>
</person-group> (<year>2019</year>). <article-title>A Review of the Clinical Pharmacokinetics of Polymyxin B</article-title>. <source>Antibiotics (Basel)</source> <volume>8</volume>, <fpage>31</fpage>. <pub-id pub-id-type="doi">10.3390/antibiotics8010031</pub-id> </citation>
</ref>
<ref id="B6">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cho</surname>
<given-names>S.-J.</given-names>
</name>
<name>
<surname>Yoon</surname>
<given-names>I.-S.</given-names>
</name>
<name>
<surname>Kim</surname>
<given-names>D.-D.</given-names>
</name>
</person-group> (<year>2013</year>). <article-title>Obesity-related Physiological Changes and Their Pharmacokinetic Consequences</article-title>. <source>J.&#x20;Pharm. Invest.</source> <volume>43</volume>, <fpage>161</fpage>&#x2013;<lpage>169</lpage>. <pub-id pub-id-type="doi">10.1007/s40005-013-0073-4</pub-id> </citation>
</ref>
<ref id="B7">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cockcroft</surname>
<given-names>D. W.</given-names>
</name>
<name>
<surname>Gault</surname>
<given-names>M. H.</given-names>
</name>
</person-group> (<year>1976</year>). <article-title>Prediction of Creatinine Clearance from Serum Creatinine</article-title>. <source>Nephron</source> <volume>16</volume>, <fpage>31</fpage>&#x2013;<lpage>41</lpage>. <pub-id pub-id-type="doi">10.1159/000180580</pub-id> </citation>
</ref>
<ref id="B8">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hanley</surname>
<given-names>M. J.</given-names>
</name>
<name>
<surname>Abernethy</surname>
<given-names>D. R.</given-names>
</name>
<name>
<surname>Greenblatt</surname>
<given-names>D. J.</given-names>
</name>
</person-group> (<year>2010</year>). <article-title>Effect of Obesity on the Pharmacokinetics of Drugs in Humans</article-title>. <source>Clin. Pharmacokinet.</source> <volume>49</volume>, <fpage>71</fpage>&#x2013;<lpage>87</lpage>. <pub-id pub-id-type="doi">10.2165/11318100-000000000-00000</pub-id> </citation>
</ref>
<ref id="B9">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hites</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Taccone</surname>
<given-names>F. S.</given-names>
</name>
</person-group> (<year>2015</year>). <article-title>Optimization of Antibiotic Therapy in the Obese, Critically Ill Patient</article-title>. <source>R&#xe9;animation</source> <volume>24</volume>, <fpage>278</fpage>&#x2013;<lpage>294</lpage>. <pub-id pub-id-type="doi">10.1007/s13546-015-1060-8</pub-id> </citation>
</ref>
<ref id="B10">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kassamali</surname>
<given-names>Z.</given-names>
</name>
<name>
<surname>Jain</surname>
<given-names>R.</given-names>
</name>
<name>
<surname>Danziger</surname>
<given-names>L. H.</given-names>
</name>
</person-group> (<year>2015</year>). <article-title>An Update on the Arsenal for Multidrug-Resistant Acinetobacter Infections: Polymyxin Antibiotics</article-title>. <source>Int. J.&#x20;Infect. Dis.</source> <volume>30</volume>, <fpage>125</fpage>&#x2013;<lpage>132</lpage>. <pub-id pub-id-type="doi">10.1016/j.ijid.2014.10.014</pub-id> </citation>
</ref>
<ref id="B11">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kubin</surname>
<given-names>C. J.</given-names>
</name>
<name>
<surname>Nelson</surname>
<given-names>B. C.</given-names>
</name>
<name>
<surname>Miglis</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Scheetz</surname>
<given-names>M. H.</given-names>
</name>
<name>
<surname>Rhodes</surname>
<given-names>N. J.</given-names>
</name>
<name>
<surname>Avedissian</surname>
<given-names>S. N.</given-names>
</name>
<etal/>
</person-group> (<year>2018</year>). <article-title>Population Pharmacokinetics of Intravenous Polymyxin B from Clinical Samples</article-title>. <source>Antimicrob. Agents Chemother.</source> <volume>62</volume>, <fpage>e01493</fpage>&#x2013;<lpage>01417</lpage>. <pub-id pub-id-type="doi">10.1128/AAC.01493-17</pub-id> </citation>
</ref>
<ref id="B12">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lakota</surname>
<given-names>E. A.</given-names>
</name>
<name>
<surname>Landersdorfer</surname>
<given-names>C. B.</given-names>
</name>
<name>
<surname>Nation</surname>
<given-names>R. L.</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Kaye</surname>
<given-names>K. S.</given-names>
</name>
<name>
<surname>Rao</surname>
<given-names>G. G.</given-names>
</name>
<etal/>
</person-group> (<year>2018</year>). <article-title>Personalizing Polymyxin B Dosing Using an Adaptive Feedback Control Algorithm</article-title>. <source>Antimicrob. Agents Chemother.</source> <volume>62</volume>, <fpage>e00483</fpage>&#x2013;<lpage>00418</lpage>. <pub-id pub-id-type="doi">10.1128/AAC.00483-18</pub-id> </citation>
</ref>
<ref id="B13">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lam</surname>
<given-names>S. W.</given-names>
</name>
<name>
<surname>Athans</surname>
<given-names>V.</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>Clinical and Microbiological Outcomes in Obese Patients Receiving Colistin for Carbapenem-Resistant Gram-Negative Bloodstream Infection</article-title>. <source>Antimicrob. Agents Chemother.</source> <volume>63</volume>, <fpage>e00531</fpage>&#x2013;<lpage>00519</lpage>. <pub-id pub-id-type="doi">10.1128/AAC.00531-19</pub-id> </citation>
</ref>
<ref id="B14">
<citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname>Li</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Coulthard</surname>
<given-names>K.</given-names>
</name>
<name>
<surname>Nation</surname>
<given-names>R. L.</given-names>
</name>
</person-group> (<year>2019</year>), <article-title>Labelling Conventions and Product Package Insert of Parenteral Polymyxins: Factors Causing Potential Medication Errors and Impeding Optimal Clinical Use</article-title>. <source>Polymyxin Antibiotics: From Laboratory Bench to Bedside</source>. <publisher-name>Springer</publisher-name>, <fpage>133</fpage>&#x2013;<lpage>141</lpage>. <pub-id pub-id-type="doi">10.1007/978-3-030-16373-0_10</pub-id> </citation>
</ref>
<ref id="B15">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lu</surname>
<given-names>Q.</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>G. H.</given-names>
</name>
<name>
<surname>Qu</surname>
<given-names>Q.</given-names>
</name>
<name>
<surname>Zhu</surname>
<given-names>H. H.</given-names>
</name>
<name>
<surname>Luo</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Yan</surname>
<given-names>H.</given-names>
</name>
<etal/>
</person-group> (<year>2021</year>). <article-title>Clinical Efficacy of Polymyxin B in Patients Infected with Carbapenem-Resistant Organisms</article-title>. <source>Infect. Drug Resist.</source> <volume>14</volume>, <fpage>1979</fpage>&#x2013;<lpage>1988</lpage>. <pub-id pub-id-type="doi">10.2147/IDR.S312708</pub-id> </citation>
</ref>
<ref id="B16">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Manchandani</surname>
<given-names>P.</given-names>
</name>
<name>
<surname>Dubrovskaya</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Gao</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Tam</surname>
<given-names>V. H.</given-names>
</name>
</person-group> (<year>2016</year>). <article-title>Comparative Pharmacokinetic Profiling of Different Polymyxin B Components</article-title>. <source>Antimicrob. Agents Chemother.</source> <volume>60</volume>, <fpage>6980</fpage>&#x2013;<lpage>6982</lpage>. <pub-id pub-id-type="doi">10.1128/AAC.00702-16</pub-id> </citation>
</ref>
<ref id="B17">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Manchandani</surname>
<given-names>P.</given-names>
</name>
<name>
<surname>Thamlikitkul</surname>
<given-names>V.</given-names>
</name>
<name>
<surname>Dubrovskaya</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Babic</surname>
<given-names>J.&#x20;T.</given-names>
</name>
<name>
<surname>Lye</surname>
<given-names>D. C.</given-names>
</name>
<name>
<surname>Lee</surname>
<given-names>L. S.</given-names>
</name>
<etal/>
</person-group> (<year>2018</year>). <article-title>Population Pharmacokinetics of Polymyxin B</article-title>. <source>Clin. Pharmacol. Ther.</source> <volume>104</volume>, <fpage>534</fpage>&#x2013;<lpage>538</lpage>. <pub-id pub-id-type="doi">10.1002/cpt.981</pub-id> </citation>
</ref>
<ref id="B18">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mcleay</surname>
<given-names>S. C.</given-names>
</name>
<name>
<surname>Morrish</surname>
<given-names>G. A.</given-names>
</name>
<name>
<surname>Kirkpatrick</surname>
<given-names>C. M.</given-names>
</name>
<name>
<surname>Green</surname>
<given-names>B.</given-names>
</name>
</person-group> (<year>2012</year>). <article-title>The Relationship between Drug Clearance and Body Size: Systematic Review and Meta-Analysis of the Literature Published from 2000 to 2007</article-title>. <source>Clin. Pharmacokinet.</source> <volume>51</volume>, <fpage>319</fpage>&#x2013;<lpage>330</lpage>. <pub-id pub-id-type="doi">10.2165/11598930-000000000-00000</pub-id> </citation>
</ref>
<ref id="B19">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Meng</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Mui</surname>
<given-names>E.</given-names>
</name>
<name>
<surname>Holubar</surname>
<given-names>M. K.</given-names>
</name>
<name>
<surname>Deresinski</surname>
<given-names>S. C.</given-names>
</name>
</person-group> (<year>2017</year>). <article-title>Comprehensive Guidance for Antibiotic Dosing in Obese Adults</article-title>. <source>Pharmacotherapy</source> <volume>37</volume>, <fpage>1415</fpage>&#x2013;<lpage>1431</lpage>. <pub-id pub-id-type="doi">10.1002/phar.2023</pub-id> </citation>
</ref>
<ref id="B20">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Miglis</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Rhodes</surname>
<given-names>N. J.</given-names>
</name>
<name>
<surname>Avedissian</surname>
<given-names>S. N.</given-names>
</name>
<name>
<surname>Kubin</surname>
<given-names>C. J.</given-names>
</name>
<name>
<surname>Yin</surname>
<given-names>M. T.</given-names>
</name>
<name>
<surname>Nelson</surname>
<given-names>B. C.</given-names>
</name>
<etal/>
</person-group> (<year>2018</year>). <article-title>Population Pharmacokinetics of Polymyxin B in Acutely Ill Adult Patients</article-title>. <source>Antimicrob. Agents Chemother.</source> <volume>62</volume>, <fpage>e01475</fpage>&#x2013;<lpage>01417</lpage>. <pub-id pub-id-type="doi">10.1128/AAC.01475-17</pub-id> </citation>
</ref>
<ref id="B21">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Nelson</surname>
<given-names>B. C.</given-names>
</name>
<name>
<surname>Eiras</surname>
<given-names>D. P.</given-names>
</name>
<name>
<surname>Gomez-Simmonds</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Loo</surname>
<given-names>A. S.</given-names>
</name>
<name>
<surname>Satlin</surname>
<given-names>M. J.</given-names>
</name>
<name>
<surname>Jenkins</surname>
<given-names>S. G.</given-names>
</name>
<etal/>
</person-group> (<year>2015</year>). <article-title>Clinical Outcomes Associated with Polymyxin B Dose in Patients with Bloodstream Infections Due to Carbapenem-Resistant Gram-Negative Rods</article-title>. <source>Antimicrob. Agents Chemother.</source> <volume>59</volume>, <fpage>7000</fpage>&#x2013;<lpage>7006</lpage>. <pub-id pub-id-type="doi">10.1128/AAC.00844-15</pub-id> </citation>
</ref>
<ref id="B22">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Pai</surname>
<given-names>M. P.</given-names>
</name>
</person-group> (<year>2013</year>). <article-title>Polymyxin B Dosing in Obese and Underweight Adults</article-title>. <source>Clin. Infect. Dis.</source> <volume>57</volume>, <fpage>1785</fpage>. <pub-id pub-id-type="doi">10.1093/cid/cit604</pub-id> </citation>
</ref>
<ref id="B23">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Pfennigwerth</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>Kaminski</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Korte-Berwanger</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Pfeifer</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Simon</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Werner</surname>
<given-names>G.</given-names>
</name>
<etal/>
</person-group> (<year>2019</year>). <article-title>Evaluation of Six Commercial Products for Colistin Susceptibility Testing in Enterobacterales</article-title>. <source>Clin. Microbiol. Infect.</source> <volume>25</volume>, <fpage>1385</fpage>&#x2013;<lpage>1389</lpage>. <pub-id pub-id-type="doi">10.1016/j.cmi.2019.03.017</pub-id> </citation>
</ref>
<ref id="B24">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Pogue</surname>
<given-names>J.&#x20;M.</given-names>
</name>
<name>
<surname>Jones</surname>
<given-names>R. N.</given-names>
</name>
<name>
<surname>Bradley</surname>
<given-names>J.&#x20;S.</given-names>
</name>
<name>
<surname>Andes</surname>
<given-names>D. R.</given-names>
</name>
<name>
<surname>Bhavnani</surname>
<given-names>S. M.</given-names>
</name>
<name>
<surname>Drusano</surname>
<given-names>G. L.</given-names>
</name>
<etal/>
</person-group> (<year>2020</year>). <article-title>Polymyxin Susceptibility Testing and Interpretive Breakpoints: Recommendations from the United&#x20;States Committee on Antimicrobial Susceptibility Testing (USCAST)</article-title>. <source>Antimicrob. Agents Chemother.</source> <volume>64</volume>, <fpage>e01495</fpage>&#x2013;<lpage>01419</lpage>. <pub-id pub-id-type="doi">10.1128/AAC.01495-19</pub-id> </citation>
</ref>
<ref id="B25">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Polso</surname>
<given-names>A. K.</given-names>
</name>
<name>
<surname>Lassiter</surname>
<given-names>J.&#x20;L.</given-names>
</name>
<name>
<surname>Nagel</surname>
<given-names>J.&#x20;L.</given-names>
</name>
</person-group> (<year>2014</year>). <article-title>Impact of Hospital Guideline for Weight-Based Antimicrobial Dosing in Morbidly Obese Adults and Comprehensive Literature Review</article-title>. <source>J.&#x20;Clin. Pharm. Ther.</source> <volume>39</volume>, <fpage>584</fpage>&#x2013;<lpage>608</lpage>. <pub-id pub-id-type="doi">10.1111/jcpt.12200</pub-id> </citation>
</ref>
<ref id="B26">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sandri</surname>
<given-names>A. M.</given-names>
</name>
<name>
<surname>Landersdorfer</surname>
<given-names>C. B.</given-names>
</name>
<name>
<surname>Jacob</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Boniatti</surname>
<given-names>M. M.</given-names>
</name>
<name>
<surname>Dalarosa</surname>
<given-names>M. G.</given-names>
</name>
<name>
<surname>Falci</surname>
<given-names>D. R.</given-names>
</name>
<etal/>
</person-group> (<year>2013</year>). <article-title>Population Pharmacokinetics of Intravenous Polymyxin B in Critically Ill Patients: Implications for Selection of Dosage Regimens</article-title>. <source>Clin. Infect. Dis.</source> <volume>57</volume>, <fpage>524</fpage>&#x2013;<lpage>531</lpage>. <pub-id pub-id-type="doi">10.1093/cid/cit334</pub-id> </citation>
</ref>
<ref id="B27">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Satlin</surname>
<given-names>M. J.</given-names>
</name>
<name>
<surname>Lewis</surname>
<given-names>J.&#x20;S.</given-names>
</name>
<name>
<surname>Weinstein</surname>
<given-names>M. P.</given-names>
</name>
<name>
<surname>Patel</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Humphries</surname>
<given-names>R. M.</given-names>
</name>
<name>
<surname>Kahlmeter</surname>
<given-names>G.</given-names>
</name>
<etal/>
</person-group> (<year>2020</year>). <article-title>Clinical and Laboratory Standards institute and European Committee on Antimicrobial Susceptibility Testing Position Statements on Polymyxin B and Colistin Clinical Breakpoints</article-title>. <source>Clin. Infect. Dis.</source> <volume>71</volume>, <fpage>e523</fpage>&#x2013;<lpage>e529</lpage>. <pub-id pub-id-type="doi">10.1093/cid/ciaa121</pub-id> </citation>
</ref>
<ref id="B28">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Shashaty</surname>
<given-names>M. G.</given-names>
</name>
<name>
<surname>Stapleton</surname>
<given-names>R. D.</given-names>
</name>
</person-group> (<year>2014</year>). <article-title>Physiological and Management Implications of Obesity in Critical Illness</article-title>. <source>Ann. Am. Thorac. Soc.</source> <volume>11</volume>, <fpage>1286</fpage>&#x2013;<lpage>1297</lpage>. <pub-id pub-id-type="doi">10.1513/AnnalsATS.201404-159FR</pub-id> </citation>
</ref>
<ref id="B29">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tam</surname>
<given-names>V. H.</given-names>
</name>
<name>
<surname>Cao</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Ledesma</surname>
<given-names>K. R.</given-names>
</name>
<name>
<surname>Hu</surname>
<given-names>M.</given-names>
</name>
</person-group> (<year>2011</year>). <article-title>Vitro Potency of Various Polymyxin B Components</article-title>. <source>Antimicrob</source>, <volume>55</volume>, <fpage>4490</fpage>&#x2013;<lpage>4491</lpage>. <pub-id pub-id-type="doi">10.1128/AAC.00119-11</pub-id> </citation>
</ref>
<ref id="B30">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tsuji</surname>
<given-names>B. T.</given-names>
</name>
<name>
<surname>Pogue</surname>
<given-names>J.&#x20;M.</given-names>
</name>
<name>
<surname>Zavascki</surname>
<given-names>A. P.</given-names>
</name>
<name>
<surname>Paul</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Daikos</surname>
<given-names>G. L.</given-names>
</name>
<name>
<surname>Forrest</surname>
<given-names>A.</given-names>
</name>
<etal/>
</person-group> (<year>2019</year>). <article-title>International Consensus Guidelines for the Optimal Use of the Polymyxins: Endorsed by the American College of Clinical Pharmacy (ACCP), European Society of Clinical Microbiology and Infectious Diseases (ESCMID), Infectious Diseases Society of America (IDSA), International Society for Anti-infective Pharmacology (ISAP), Society of Critical Care Medicine (SCCM), and Society of Infectious Diseases Pharmacists (SIDP)</article-title>. <source>Pharmacotherapy</source> <volume>39</volume>, <fpage>10</fpage>&#x2013;<lpage>39</lpage>. <pub-id pub-id-type="doi">10.1002/phar.2209</pub-id> </citation>
</ref>
<ref id="B31">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Vincent</surname>
<given-names>J.&#x20;L.</given-names>
</name>
<name>
<surname>de Mendon&#xe7;a</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Cantraine</surname>
<given-names>F.</given-names>
</name>
<name>
<surname>Moreno</surname>
<given-names>R.</given-names>
</name>
<name>
<surname>Takala</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Suter</surname>
<given-names>P. M.</given-names>
</name>
<etal/>
</person-group> (<year>1998</year>). <article-title>Use of the SOFA Score to Assess the Incidence of Organ Dysfunction/failure in Intensive Care Units: Results of a Multicenter, Prospective Study. Working Group on "Sepsis-Related Problems" of the European Society of Intensive Care Medicine</article-title>. <source>Crit. Care Med.</source> <volume>26</volume>, <fpage>1793</fpage>&#x2013;<lpage>1800</lpage>. <pub-id pub-id-type="doi">10.1097/00003246-199811000-00016</pub-id> </citation>
</ref>
<ref id="B32">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wagenlehner</surname>
<given-names>F.</given-names>
</name>
<name>
<surname>Lucenteforte</surname>
<given-names>E.</given-names>
</name>
<name>
<surname>Pea</surname>
<given-names>F.</given-names>
</name>
<name>
<surname>Soriano</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Tavoschi</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Steele</surname>
<given-names>V. R.</given-names>
</name>
<etal/>
</person-group> (<year>2021</year>). <article-title>Systematic Review on Estimated Rates of Nephrotoxicity and Neurotoxicity in Patients Treated with Polymyxins</article-title>. <source>Clin. Microbiol. Infect.</source> <volume>27</volume>, <fpage>671</fpage>&#x2013;<lpage>686</lpage>. <pub-id pub-id-type="doi">10.1016/j.cmi.2020.12.009</pub-id> </citation>
</ref>
<ref id="B33">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>B.</given-names>
</name>
<name>
<surname>Popkin</surname>
<given-names>B. M.</given-names>
</name>
<name>
<surname>Du</surname>
<given-names>S.</given-names>
</name>
</person-group> (<year>2020a</year>). <article-title>Elevated Fat Intake Increases Body Weight and the Risk of Overweight and Obesity Among Chinese Adults: 1991-2015 Trends</article-title>. <source>Nutrients</source> <volume>12</volume>, <fpage>3272</fpage>. <pub-id pub-id-type="doi">10.3390/nu12113272</pub-id> </citation>
</ref>
<ref id="B34">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname>
<given-names>P.</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>Q.</given-names>
</name>
<name>
<surname>Zhu</surname>
<given-names>Z.</given-names>
</name>
<name>
<surname>Feng</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Sun</surname>
<given-names>T.</given-names>
</name>
<name>
<surname>Yang</surname>
<given-names>J.</given-names>
</name>
<etal/>
</person-group> (<year>2020c</year>). <article-title>Population Pharmacokinetics and Limited Sampling Strategy for Therapeutic Drug Monitoring of Polymyxin B in Chinese Patients with Multidrug-Resistant Gram-Negative Bacterial Infections</article-title>. <source>Front. Pharmacol.</source> <volume>11</volume>, <fpage>829</fpage>. <pub-id pub-id-type="doi">10.3389/fphar.2020.00829</pub-id> </citation>
</ref>
<ref id="B35">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname>
<given-names>P.</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>Q.</given-names>
</name>
<name>
<surname>Qin</surname>
<given-names>Z.</given-names>
</name>
<name>
<surname>Xing</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Xu</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Pei</surname>
<given-names>H.</given-names>
</name>
<etal/>
</person-group> (<year>2020b</year>). <article-title>A Simple and Robust Liquid Chromatography with Tandem Mass Spectrometry Analytical Method for Therapeutic Drug Monitoring of Plasma and Cerebrospinal Fluid Polymyxin B1 and B2</article-title>. <source>Ther. Drug Monit.</source> <volume>42</volume>, <fpage>716</fpage>&#x2013;<lpage>723</lpage>. <pub-id pub-id-type="doi">10.1097/FTD.0000000000000754</pub-id> </citation>
</ref>
<ref id="B36">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname>
<given-names>P.</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>Q.</given-names>
</name>
<name>
<surname>Zhu</surname>
<given-names>Z.</given-names>
</name>
<name>
<surname>Pei</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Feng</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Sun</surname>
<given-names>T.</given-names>
</name>
<etal/>
</person-group> (<year>2021</year>). <article-title>Comparing the Population Pharmacokinetics of and Acute Kidney Injury Due to Polymyxin B in Chinese Patients with or without Renal Insufficiency</article-title>. <source>Antimicrob. Agents Chemother.</source> <volume>65</volume>, <fpage>e01900</fpage>&#x2013;<lpage>01920</lpage>. <pub-id pub-id-type="doi">10.1128/AAC.01900-20</pub-id> </citation>
</ref>
<ref id="B37">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yu</surname>
<given-names>X. B.</given-names>
</name>
<name>
<surname>Jiao</surname>
<given-names>Z.</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>C. H.</given-names>
</name>
<name>
<surname>Dai</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Zhou</surname>
<given-names>Z. Y.</given-names>
</name>
<name>
<surname>Han</surname>
<given-names>L.</given-names>
</name>
<etal/>
</person-group> (<year>2021</year>). <article-title>Population Pharmacokinetic and Optimization of Polymyxin B Dosing in Adult Patients with Various Renal Functions</article-title>. <source>Br. J.&#x20;Clin. Pharmacol.</source> <volume>87</volume>, <fpage>1869</fpage>&#x2013;<lpage>1877</lpage>. <pub-id pub-id-type="doi">10.1111/bcp.14576</pub-id> </citation>
</ref>
</ref-list>
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</article>