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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="1.3" xml:lang="en" article-type="research-article"><?properties manuscript?><processing-meta base-tagset="archiving" mathml-version="3.0" table-model="xhtml" tagset-family="jats"><restricted-by>pmc</restricted-by></processing-meta><front><journal-meta><journal-id journal-id-type="nlm-journal-id">8804099</journal-id><journal-id journal-id-type="pubmed-jr-id">4791</journal-id><journal-id journal-id-type="nlm-ta">Infect Control Hosp Epidemiol</journal-id><journal-id journal-id-type="iso-abbrev">Infect Control Hosp Epidemiol</journal-id><journal-title-group><journal-title>Infection control and hospital epidemiology</journal-title></journal-title-group><issn pub-type="ppub">0899-823X</issn><issn pub-type="epub">1559-6834</issn></journal-meta><article-meta><article-id pub-id-type="pmid">38804007</article-id><article-id pub-id-type="pmc">11705612</article-id><article-id pub-id-type="doi">10.1017/ice.2024.81</article-id><article-id pub-id-type="manuscript">HHSPA2043159</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Relationship between chlorhexidine gluconate concentration and microbial colonization of patients&#x02019; skin</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Rhee</surname><given-names>Yoona</given-names></name><degrees>MD, MS</degrees><xref rid="A1" ref-type="aff">1</xref></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0002-4676-5653</contrib-id><name><surname>Simms</surname><given-names>Andrew T.</given-names></name><degrees>MD</degrees><xref rid="A1" ref-type="aff">1</xref></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0002-3066-708X</contrib-id><name><surname>Schoeny</surname><given-names>Michael</given-names></name><degrees>PhD</degrees><xref rid="A2" ref-type="aff">2</xref></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0002-0914-0291</contrib-id><name><surname>Baker</surname><given-names>Arthur W.</given-names></name><degrees>MD, MPH</degrees><xref rid="A3" ref-type="aff">3</xref></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0002-6724-5841</contrib-id><name><surname>Baker</surname><given-names>Meghan A.</given-names></name><degrees>MD</degrees><xref rid="A4" ref-type="aff">4</xref><xref rid="A5" ref-type="aff">5</xref></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0003-1932-7540</contrib-id><name><surname>Gohil</surname><given-names>Shruti</given-names></name><degrees>MD, MPH</degrees><xref rid="A6" ref-type="aff">6</xref></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0002-9537-4245</contrib-id><name><surname>Rhee</surname><given-names>Chanu</given-names></name><degrees>MD, MPH</degrees><xref rid="A4" ref-type="aff">4</xref><xref rid="A5" ref-type="aff">5</xref></contrib><contrib contrib-type="author"><name><surname>Talati</surname><given-names>Naasha J.</given-names></name><degrees>MD</degrees><xref rid="A7" ref-type="aff">7</xref></contrib><contrib contrib-type="author"><name><surname>Warren</surname><given-names>David K.</given-names></name><degrees>MD, MPH</degrees><xref rid="A8" ref-type="aff">8</xref></contrib><contrib contrib-type="author"><name><surname>Welbel</surname><given-names>Sharon</given-names></name><degrees>MD</degrees><xref rid="A9" ref-type="aff">9</xref></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0003-1903-756X</contrib-id><name><surname>Lolans</surname><given-names>Karen</given-names></name><degrees>BS</degrees><xref rid="A1" ref-type="aff">1</xref></contrib><contrib contrib-type="author"><name><surname>Bell</surname><given-names>Pamela B.</given-names></name><degrees>BA</degrees><xref rid="A1" ref-type="aff">1</xref></contrib><contrib contrib-type="author"><name><surname>Fukuda</surname><given-names>Christine</given-names></name><degrees>MPH</degrees><xref rid="A1" ref-type="aff">1</xref></contrib><contrib contrib-type="author"><name><surname>Hayden</surname><given-names>Mary K.</given-names></name><degrees>MD</degrees><xref rid="A1" ref-type="aff">1</xref></contrib><contrib contrib-type="author"><name><surname>Lin</surname><given-names>Michael Y.</given-names></name><degrees>MD, MPH</degrees><xref rid="A1" ref-type="aff">1</xref></contrib><on-behalf-of>for the CDC Prevention Epicenters Program</on-behalf-of></contrib-group><aff id="A1"><label>1</label>Division of Infectious Diseases, Rush University Medical Center, Chicago, IL, USA</aff><aff id="A2"><label>2</label>Department of Community, Systems and Mental Health Nursing, College of Nursing, Rush University Medical Center, Chicago, IL, USA</aff><aff id="A3"><label>3</label>Division of Infectious Diseases, Duke University School of Medicine, Durham, NC, USA</aff><aff id="A4"><label>4</label>Division of Infectious Diseases, Brigham and Women&#x02019;s Hospital, Boston, MA, USA</aff><aff id="A5"><label>5</label>Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA, USA</aff><aff id="A6"><label>6</label>Division of Infectious Diseases, University of California, Irvine School of Medicine, Irvine, CA, USA</aff><aff id="A7"><label>7</label>Division of Infectious Diseases, Penn Presbyterian Medical Center, University of Pennsylvania, Philadelphia, PA, USA</aff><aff id="A8"><label>8</label>Division of Infectious Diseases, Washington University School of Medicine, St Louis, MO, USA</aff><aff id="A9"><label>9</label>Division of Infectious Diseases, Cook County Health, Chicago, IL, USA</aff><author-notes><corresp id="CR1"><bold>Corresponding author:</bold> Michael Y. Lin; <email>michael_lin@rush.edu</email></corresp></author-notes><pub-date pub-type="nihms-submitted"><day>4</day><month>1</month><year>2025</year></pub-date><pub-date pub-type="epub"><day>28</day><month>5</month><year>2024</year></pub-date><pub-date pub-type="pmc-release"><day>28</day><month>11</month><year>2025</year></pub-date><fpage>1</fpage><lpage>6</lpage><abstract id="ABS1"><sec id="S1"><title>Objective:</title><p id="P1">To characterize the relationship between chlorhexidine gluconate (CHG) skin concentration and skin microbial colonization.</p></sec><sec id="S2"><title>Design:</title><p id="P2">Serial cross-sectional study.</p></sec><sec id="S3"><title>Setting/participants:</title><p id="P3">Adult patients in medical intensive care units (ICUs) from 7 hospitals; from 1 hospital, additional patients colonized with carbapenemase-producing Enterobacterales (CPE) from both ICU and non-ICU settings. All hospitals performed routine CHG bathing in the ICU.</p></sec><sec id="S4"><title>Methods:</title><p id="P4">Skin swab samples were collected from adjacent areas of the neck, axilla, and inguinal region for microbial culture and CHG skin concentration measurement using a semiquantitative colorimetric assay. We used linear mixed effects multilevel models to analyze the relationship between CHG concentration and microbial detection. We explored threshold effects using additional models.</p></sec><sec id="S5"><title>Results:</title><p id="P5">We collected samples from 736 of 759 (97%) eligible ICU patients and 68 patients colonized with CPE. On skin, gram-positive bacteria were cultured most frequently (93% of patients), followed by <italic toggle="yes">Candida</italic> species (26%) and gram-negative bacteria (20%). The adjusted odds of microbial recovery for every twofold increase in CHG skin concentration were 0.84 (95% CI, 0.80&#x02013;0.87; <italic toggle="yes">P</italic> &#x0003c; .001) for gram-positive bacteria, 0.93 (95% CI, 0.89&#x02013;0.98; <italic toggle="yes">P</italic> = .008) for <italic toggle="yes">Candida</italic> species, 0.96 (95% CI, 0.91&#x02013;1.02; <italic toggle="yes">P</italic> = .17) for gram-negative bacteria, and 0.94 (95% CI, 0.84&#x02013;1.06; <italic toggle="yes">P</italic> = .33) for CPE. A threshold CHG skin concentration for reduced microbial detection was not observed.</p></sec><sec id="S6"><title>Conclusions:</title><p id="P6">On a cross-sectional basis, higher CHG skin concentrations were associated with less detection of gram-positive bacteria and <italic toggle="yes">Candida</italic> species on the skin, but not gram-negative bacteria, including CPE. For infection prevention, targeting higher CHG skin concentrations may improve control of certain pathogens.</p></sec></abstract></article-meta></front><body><sec id="S7"><title>Introduction</title><p id="P7">Daily chlorhexidine gluconate (CHG) bathing of intensive care unit (ICU) patients reduces skin microbial colonization and decreases the risk of bloodstream infections, multidrug-resistant organism acquisition, and blood culture contamination.<sup><xref rid="R1" ref-type="bibr">1</xref>-<xref rid="R3" ref-type="bibr">3</xref></sup> However, the association between CHG skin concentration and skin microbial bioburden is less understood. Some observational studies suggest that reaching threshold CHG skin concentrations may be needed for optimal inhibition of skin microbial growth,<sup><xref rid="R4" ref-type="bibr">4</xref>,<xref rid="R5" ref-type="bibr">5</xref></sup> but this relationship has not been consistently reproduced.<sup><xref rid="R6" ref-type="bibr">6</xref></sup> Understanding the association between CHG skin concentration and skin microbial reduction can inform strategies for improving CHG bathing, as bathing quality can be variable.<sup><xref rid="R7" ref-type="bibr">7</xref>-<xref rid="R9" ref-type="bibr">9</xref></sup></p><p id="P8">In the context of a multicenter CHG bathing quality improvement study of adult ICU patients,<sup><xref rid="R9" ref-type="bibr">9</xref></sup> we performed a pre-planned analysis to characterize the relationship between CHG skin concentration and skin microbial detection. At 1 hospital, we additionally obtained samples from adult ICU and non-ICU patients colonized with carbapenemase-producing Enterobacterales (CPE). We hypothesized that patients with higher CHG skin concentrations would have less microbial detection on skin and sought to determine if a threshold effect existed in this relationship (ie, an &#x02018;adequate&#x02019; CHG skin concentration beyond which skin microbial detection would be maximally reduced).</p></sec><sec id="S8"><title>Methods</title><sec id="S9"><title>Study population</title><sec id="S10"><title>Multicenter cohort</title><p id="P9">Patients &#x02265;18 years old who were admitted to the medical ICU were eligible for study participation at 7 academic hospitals with established daily CHG bathing (hereafter called &#x0201c;multicenter cohort&#x0201d;; see <xref rid="SD1" ref-type="supplementary-material">Supplement</xref> for participating sites). The median ICU bed capacity was 22 (range, 12&#x02013;27 beds). Point prevalence surveys were conducted from January 2018 to February 2019.</p></sec><sec id="S11"><title>CPE-colonized cohort</title><p id="P10">Due to the expected low prevalence of CPE-colonized patients in the multicenter cohort,<sup><xref rid="R10" ref-type="bibr">10</xref></sup> we obtained samples from an additional group of adult ICU and non-ICU patients who were confirmed to be colonized with CPE<sup><xref rid="R11" ref-type="bibr">11</xref></sup> by rectal or stool culture and were admitted from May 2018 to August 2019 (hereafter called &#x0201c;CPE cohort&#x0201d;) at one of the participating hospitals (Rush University Medical Center). Patients in the CPE cohort were eligible for daily CHG bathing if admitted to the ICU or if they had a central venous catheter while cared for in non-ICU units. Five patients were analyzed in both the multicenter and CPE cohorts.</p><p id="P11">The project was evaluated independently by each institution&#x02019;s institutional review board and either deemed exempt or approved with a waiver of informed consent.</p></sec><sec id="S12"><title>Point prevalence surveys and swab sample collection</title><p id="P12">For the multicenter study, we conducted 6 single-day point prevalence surveys at each hospital throughout the study period. For each survey, all patients in the ICU had unilateral skin swab samples collected from the anterior neck, axilla, and inguinal region. To measure CHG skin concentrations, we used sterile swabs moistened with sterile water (Bio-Swab, Arrowhead Forensics, Lenexa, KS) to swab a 5 &#x000d7; 5 cm<sup>2</sup> area from each body site. For bacterial and yeast cultures, an adjacent 5 &#x000d7; 5 cm<sup>2</sup> area from each body site was sampled using flocked swabs (FLOQSwabs, Copan, Murrieta, CA) and placed immediately into 1.2 mL Amies medium with neutralizers<sup><xref rid="R12" ref-type="bibr">12</xref>,<xref rid="R13" ref-type="bibr">13</xref></sup> but without ether sulfate.<sup><xref rid="R14" ref-type="bibr">14</xref></sup> Swab sample collection training sessions were held with research staff for uniform technique. For the CPE cohort, the neck, axilla, and inguinal skin sites were sampled, and an additional rectal or stool swab (BBL CultureSwab, Becton-Dickenson, Franklin Lakes, NJ) was collected to confirm CPE colonization.</p><p id="P13">We collected the following patient covariates at the time of survey: demographic information (age [&#x02265; 90 years old recorded as 90 years], sex, body mass index), ICU and hospital length of stay, presence of invasive devices (mechanical ventilation via endo-tracheal tube or tracheostomy; central venous catheter), and receipt of CHG bath at any point during current hospitalization, prior to swab collection.</p></sec><sec id="S13"><title>Laboratory methods</title><p id="P14">Swab samples were shipped in insulated containers on wet ice with continuous temperature monitoring and processed at a central laboratory (Rush University Medical Center) within 48 hours of collection. Skin swabs were tested for CHG concentration with a semiquantitative colorimetric assay, with a stepwise range of detection from 4.9 &#x003bc;g/mL to 20,000 &#x003bc;g/mL.<sup><xref rid="R15" ref-type="bibr">15</xref></sup> For culture, 100 &#x003bc;l volumes were inoculated onto 5% sheep&#x02019;s blood agar (Remel, Lenexa, KS) for total bacterial counts, Columbia CNA agar (Remel) to isolate gram-positive bacteria, MacConkey agar (Remel) to isolate gram-negative bacteria, CHROMagar<sup>&#x02122;</sup> Staph aureus (Becton-Dickenson, Franklin Lakes, NJ) to isolate <italic toggle="yes">Staphylococcus aureus</italic>, ChromID MRSA (bioM&#x000e9;rieux, Durham, NC) to isolate methicillin-resistant <italic toggle="yes">S. aureus</italic>, CHROMagar<sup>&#x02122;</sup> Candida (Becton-Dickenson) to isolate <italic toggle="yes">Candida</italic> species, bile azide esculin agar (Remel) to isolate <italic toggle="yes">Enterococcus</italic> species, Spectra VRE agar (Remel) to isolate vancomycin-resistant enterococci, and mSuperCARBA (CHROMagar<sup>&#x02122;</sup>, Paris, France) to isolate carbapenem-resistant Enterobacterales, <italic toggle="yes">Pseudomonas</italic> species, and <italic toggle="yes">Acinetobacter</italic> species. Plates were incubated in aerobic conditions at 35 &#x000b1; 2&#x000b0;C for 16&#x02013;24 hours for bacterial isolation, and CHROMagar<sup>&#x02122;</sup> Candida agar was incubated at 37&#x000b0;C for up to 7 days. Presumptive morphologic microbial identifications were confirmed using standard methods and matrix-assisted laser desorption ionization time-of-flight mass spectrometry (VITEK<sup>&#x000ae;</sup> MS bioM&#x000e9;rieux). Antibiotic susceptibilities were confirmed using gram-negative and gram-positive panels (NM43, NC68, PC33, and PM29) on the MicroScan WalkAway System (Beckman Coulter, Indianapolis, IN). Organisms recovered on mSuperCARBA were tested for bla-KPC, bla-NDM, bla-OXA-48, bla-IMP, and bla-VIM carbapenemase genes by Xpert Carba-R (Cepheid, Sunnyvale, CA).</p></sec><sec id="S14"><title>CHG minimum inhibitor concentration measurements</title><p id="P15">Isolates recovered from skin swab samples underwent broth microdilution testing to determine CHG minimal inhibitory concentrations (MICs) following modified Clinical and Laboratory Standards Institute (CLSI) guidelines,<sup><xref rid="R16" ref-type="bibr">16</xref>,<xref rid="R17" ref-type="bibr">17</xref></sup> starting with a 20% solution of chlorhexidine digluconate (Sigma-Aldrich, St Louis, MO). A representative sample of skin isolates was obtained by a mix of random and complete sampling to select isolates dependent on the number of isolates overall for a species, resistance type, or individual hospital level.</p></sec><sec id="S15"><title>Statistical design and analysis</title><p id="P16">We performed linear mixed effects multilevel modeling to analyze the relationship between CHG skin concentration (log2-transformed) and microorganism recovery (yes/no as primary outcome and CFU/25cm<sup>2</sup> as secondary outcome), controlling for clustering of body sites within patients (random effect). Fixed effects in the model included hospital, body site, and CHG skin concentration. CHG concentrations below the limit of detection (&#x0003c; 4.9 &#x003bc;g/mL) were coded as 0 &#x003bc;g/mL for analysis. Descriptive statistics were also performed. SAS version 9.4 (Cary, North Carolina) was used for all analyses. A series of exploratory analyses considered the possibility of thresholds for microorganism detection by dichotomizing CHG concentration at each increment and adding the dichotomous variable to the model with the linear CHG skin concentration (log2-transformed). Ten thresholds were considered for each outcome.</p></sec></sec></sec><sec id="S16"><title>Results</title><p id="P17">For the multicenter cohort, we obtained samples from 736 (97%) of 759 eligible patients from 7 hospitals, with a mean of 17.5 (SD = 5.2) patients per ICU per survey. A total of 2,176 skin sites were sampled. In the CPE cohort, 68 patients with CPE colonization based on rectal or stool cultures were identified, and 203 skin sites were sampled. Patient characteristics are shown in <xref rid="T1" ref-type="table">Table 1</xref>.</p><sec id="S17"><title>Microorganisms cultured</title><p id="P18">In the multicenter cohort, gram-positive bacteria were detected most frequently (93%), followed by <italic toggle="yes">Candida</italic> species (26%) and gram-negative bacteria (20%; see <xref rid="T2" ref-type="table">Table 2</xref>); there was variability in the distribution of pathogens by body site. In the CPE cohort, there were 78 CPE organisms identified from 68 rectal or stool swab samples; KPC-producing <italic toggle="yes">K. pneumoniae</italic> were identified most frequently (<xref rid="SD1" ref-type="supplementary-material">Supplementary Table S1</xref>). Of 68 patients confirmed to be CPE-colonized by rectal or stool culture, 26 (38%) had skin sites with detectable CPE. Of the 26 patients with CPE detected on both skin and rectal/stool cultures, 25 had concordant CPE species and resistance mechanisms detected. Three patients were co-colonized with carbapenemase-producing <italic toggle="yes">K. pneumoniae</italic> (2 KPC, 1 NDM) and another CPE (including KPC-producing <italic toggle="yes">Citrobacter freundii</italic>, KPC-producing <italic toggle="yes">Escherichia coli</italic>, and NDM-producing <italic toggle="yes">E. coli</italic>) based on rectal or stool culture; however, only carbapenemase-producing <italic toggle="yes">K. pneumoniae</italic> was cultured from the skin.</p></sec><sec id="S18"><title>Relationship between CHG skin concentrations and microbial recovery</title><p id="P19">Median CHG skin concentrations are noted in <xref rid="T1" ref-type="table">Table 1</xref>. In the multicenter cohort, the adjusted odds of detecting gram-positive bacteria or <italic toggle="yes">Candida</italic> species on skin decreased linearly with increasing CHG skin concentrations. For every twofold increase in CHG skin concentration, the adjusted odds of microbial recovery decreased by 16% (<italic toggle="yes">P</italic> &#x0003c; .001) for gram-positive bacteria and 7% (<italic toggle="yes">P</italic> = .008) for <italic toggle="yes">Candida</italic> species (<xref rid="F1" ref-type="fig">Figure 1</xref>, <xref rid="T3" ref-type="table">Table 3</xref>). We did not observe a significant association between CHG skin concentration and detection of gram-negative bacteria by culture (<xref rid="F1" ref-type="fig">Figure 1</xref>, <xref rid="T3" ref-type="table">Table 3</xref>). In the CPE cohort, after adjusting for age and body site, we did not observe a significant association between CHG skin concentrations and recovery of CPE from skin. Through visual inspection (<xref rid="F1" ref-type="fig">Figure 1</xref>) and modeling, we also did not observe a threshold CHG skin concentration for reduced detection of gram-positive bacteria, gram-negative bacteria, <italic toggle="yes">Candida</italic> species, and CPE. The relationship between CHG skin concentrations and skin detection of specific species of gram-positive and gram-negative bacteria is shown in <xref rid="T3" ref-type="table">Table 3</xref>.</p><p id="P20">In sensitivity analysis, we assessed the relationship between CHG skin concentration and skin microbial recovery on a continuous scale (colony forming units, or CFU/25cm<sup>2</sup>); a stacked histogram depicting CHG skin concentration versus CFU of skin microbial recovery is presented in <xref rid="F2" ref-type="fig">Figure 2</xref>. Adjusted analysis with continuous CFU/mL as a modeled outcome did not meaningfully change the results found in the primary analysis.</p></sec><sec id="S19"><title>CHG minimum inhibitory concentrations</title><p id="P21">A subset of isolates (467) from patients in the multicenter cohort and 31 CPE isolates from the CPE cohort were selected for CHG MIC testing (<xref rid="SD1" ref-type="supplementary-material">Supplementary Table S2</xref>). Gram-positive bacteria tested such as <italic toggle="yes">Staphylococcus aureus</italic> demonstrated relatively low MIC values, compared with gram-negative bacteria and <italic toggle="yes">Candida</italic> species tested.</p></sec></sec><sec id="S20"><title>Discussion</title><p id="P22">Among hospitalized patients, in whom skin CHG concentrations and microbial cultures were obtained cross-sectionally, higher CHG skin concentrations were associated with less frequent skin detection of gram-positive bacteria and <italic toggle="yes">Candida</italic> species, but not with gram-negative bacteria, including CPE. For gram-positive bacteria and <italic toggle="yes">Candida</italic> species, the relationship was linear across all measured CHG skin concentrations, without a threshold effect observed.</p><p id="P23">We performed this study in the context of a CHG bathing quality improvement project in the ICU, which assessed the effectiveness of measurement and feedback of CHG skin concentrations to hospital unit leadership and bathing staff to improve the quality of CHG bathing.<sup><xref rid="R9" ref-type="bibr">9</xref></sup> A common question generated from feedback on CHG skin concentrations was whether there is an &#x02018;adequate&#x02019; level of measured CHG skin concentration that would correlate with optimal microbial control. Based on limited data from prior studies, potential thresholds of 18.75 &#x003bc;g/mL for control of gram-positive bacteria and 128 &#x003bc;g/mL for control of CPE had been proposed.<sup><xref rid="R4" ref-type="bibr">4</xref>,<xref rid="R5" ref-type="bibr">5</xref></sup> Both prior studies utilized skin concentration measurement in a longitudinal fashion within patients (eg, serially before and after a CHG bath in the same patient). Our current study utilized a cross-sectional approach to CHG skin measurement that was independent of time from the last CHG bath received, representing a more pragmatic approach for unit-wide skin sampling by healthcare personnel. The findings of our current study and others<sup><xref rid="R6" ref-type="bibr">6</xref></sup> suggest that on a cross-sectional basis, there is not a threshold target for CHG skin concentration that correlates with optimal skin microbial control for some organisms.</p><p id="P24">Whether CHG bathing effectively controls gram-negative bacterial skin colonization, transmission, and infection is uncertain. In a longitudinal assessment of ICU patients, CHG bathing transiently reduced all pathogens, including gram-negative organisms on the skin, but rebound of microbial detection near baseline levels was observed at 4 hours post-bath for gram-negative organisms.<sup><xref rid="R5" ref-type="bibr">5</xref></sup> Routine CHG bathing in the ICU has not been consistently associated with reductions in gram-negative infections.<sup><xref rid="R1" ref-type="bibr">1</xref>,<xref rid="R18" ref-type="bibr">18</xref>,<xref rid="R19" ref-type="bibr">19</xref></sup> Nevertheless, CHG bathing has been shown to decrease KPC-producing <italic toggle="yes">K. pneumoniae</italic> skin colonization shortly after a bath.<sup><xref rid="R4" ref-type="bibr">4</xref></sup> Furthermore, CHG bathing has been utilized in a bundled intervention to interrupt the transmission of KPC-producing <italic toggle="yes">K. pneumoniae</italic> in the long-term acute care hospital setting, leading to decreases in KPC-producing <italic toggle="yes">K. pneumoniae</italic> and all-cause bacteremia.<sup><xref rid="R20" ref-type="bibr">20</xref></sup></p><p id="P25">Our study has limitations. First, reductions in skin microbial colonization were used as a surrogate for reduced risk of pathogen transmission and infection. However, skin colonization contributes to the pathogenesis of infections such as central line-associated bloodstream infections (CLABSIs),<sup><xref rid="R21" ref-type="bibr">21</xref></sup> and reductions in skin microbial burden has been associated with reduced environmental and healthcare worker hand contamination.<sup><xref rid="R3" ref-type="bibr">3</xref></sup> Second, we may have been underpowered to detect correlations between CHG skin concentrations and less prevalent species or groups of organisms. Certain organism species may also demonstrate relationships with CHG skin concentrations that diverge from patterns observed at the genus level.<sup><xref rid="R22" ref-type="bibr">22</xref></sup> Third, we did not assess prior or current receipt of systemic antimicrobial agents. Additional research is needed on the impact of broad-spectrum antibiotics on the skin ecology of critically ill patients. Major strengths of our study included the multicenter prospective design over a geographically diverse group of healthcare facilities, standardized skin sampling techniques, and utilization of culture protocols that targeted multiple organisms of medical importance.</p><p id="P26">In conclusion, we found that within the range of CHG skin concentrations detected among hospitalized patients undergoing routine CHG bathing, there was an association between higher CHG skin concentration and less frequent detection of gram-positive bacteria and <italic toggle="yes">Candida</italic> species on the skin, without an observed threshold effect. We did not find such a relationship for gram-negative bacteria. For infection prevention, CHG bathing strategies that achieve higher CHG skin concentrations may improve control of certain pathogens.</p></sec><sec sec-type="supplementary-material" id="SM1"><title>Supplementary Material</title><supplementary-material id="SD1" position="float" content-type="local-data"><label>Supplementary Material</label><media xlink:href="NIHMS2043159-supplement-Supplementary_Material.pdf" id="d67e586" position="anchor"/></supplementary-material></sec></body><back><ack id="S21"><title>Acknowledgments.</title><p id="P27">We thank the patients as well as the following contributors to this study: Khaled Aboushaala, Bardia Bahadori, Heilen Bravo, Candice Cass, Carol Daddio Pierce, Thelma Dangana, Onofre Donceras, Tondria Green, Barbara Gulczynski, Tracey Habrock-Bach, Tony James, Alicia Nelson, Sue Johns, Nadia Khan, Thelma Lim, Thelma Majalca, Robert Mielczarek, Renee Partida-McClenic, Lahari Thotapalli, Simon Tingem, Pam Tolomeo, Robert Weinstein, Robert Wolf, and Rachel Yelin. We thank the research microbiology laboratory at Rush University Medical Center. We also thank the administrative staff, research personnel, MICU nursing, staff, and infection preventionists at Brigham and Women&#x02019;s Hospital, Cook County Health, Duke University Hospital, Penn Presbyterian Medical Center, Rush University Medical Center, University of California Irvine, and Washington University School of Medicine.</p><sec id="S22"><title>Financial support.</title><p id="P28">This study was funded by the Centers for Disease Control and Prevention Cooperative Agreement U54-CK000481.</p></sec></ack><fn-group><fn id="FN1"><p id="P29">These data were presented in part at the SHEA Spring 2019 Conference in Boston, Massachusetts, and at IDWeek 2019 in Washington, DC.</p></fn><fn id="FN2"><p id="P30"><bold>Supplementary material.</bold> The supplementary material for this article can be found at <ext-link xlink:href="10.1017/ice.2024.81" ext-link-type="doi">https://doi.org/10.1017/ice.2024.81</ext-link>.</p></fn><fn id="FN3"><p id="P31"><bold>Competing interests.</bold> M.K.H. has been a co-investigator on several research studies for which Sage Products (now part of Stryker Corporation), M&#x000f6;lnlycke, and Medline provided CHG products at no charge to hospitals and skilled nursing facilities participating in the research. Neither M.K.H. nor her employer (Rush University Medical Center) received chlorhexidine products. C.R. reports royalties from UpToDate, Inc. and consulting fees from Pfizer and Cytovale for topics unrelated to this study. D.W. was a consultant for M&#x000f6;lnlycke Health Care AB after the completion of the study. M.Y.L. has received research support in the form of a CHG product from Sage Products (now part of Stryker Corporation).</p></fn></fn-group><ref-list><title>References</title><ref id="R1"><label>1.</label><mixed-citation publication-type="journal"><name><surname>Climo</surname><given-names>MW</given-names></name>, <name><surname>Yokoe</surname><given-names>DS</given-names></name>, <name><surname>Warren</surname><given-names>DK</given-names></name>, <etal/>
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</mixed-citation></ref></ref-list></back><floats-group><fig position="float" id="F1"><label>Figure 1.</label><caption><p id="P32">Relationship between chlorhexidine gluconate concentration and adjusted odds of microbial detection on the skin. Abbreviations: CHG, chlorhexidine gluconate; OR, odds ratio. <italic toggle="yes">Note</italic>: Odds of culture detection of microbial organisms on the skin at each CHG skin concentration were estimated using mixed effect models that included a random intercept for body sites clustered within the patient and fixed effects for hospital, body site, and CHG skin concentration. Bars represent 95% confidence intervals. OR represents the change in odds of microbial recovery for every twofold increase in CHG skin concentration, as presented in <xref rid="T3" ref-type="table">Table 3</xref>.</p></caption><graphic xlink:href="nihms-2043159-f0001" position="float"/></fig><fig position="float" id="F2"><label>Figure 2.</label><caption><p id="P33">Unadjusted relationship between chlorhexidine gluconate concentration and microbial colony forming units on skin. Abbreviations: CHG, chlorhexidine gluconate. <italic toggle="yes">Note</italic>: Different <italic toggle="yes">y</italic>-axis scales on panels. The skin area swabbed is 25 cm<sup>2</sup>.</p></caption><graphic xlink:href="nihms-2043159-f0002" position="float"/></fig><table-wrap position="float" id="T1" orientation="landscape"><label>Table 1.</label><caption><p id="P34">Patient demographics and clinical factors</p></caption><table frame="hsides" rules="rows"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="bottom" rowspan="1" colspan="1">Covariate</th><th align="center" valign="bottom" rowspan="1" colspan="1">Multicenter cohort (N=736)</th><th align="center" valign="bottom" rowspan="1" colspan="1">CPE cohort (N=68)</th></tr></thead><tbody><tr><td align="left" valign="bottom" rowspan="1" colspan="1">Age, years, mean (SD)</td><td align="center" valign="bottom" rowspan="1" colspan="1">58.6 (16.3)</td><td align="center" valign="bottom" rowspan="1" colspan="1">57.1 (16.6)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">Male, n (%)</td><td align="center" valign="bottom" rowspan="1" colspan="1">377 (51)</td><td align="center" valign="bottom" rowspan="1" colspan="1">28 (41)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">Body mass index, kg/m2, median (IQR)</td><td align="center" valign="bottom" rowspan="1" colspan="1">27.3 (22.6, 32.6)</td><td align="center" valign="bottom" rowspan="1" colspan="1">25.7 (22.2, 30.6)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">Mechanical ventilation, n (%)</td><td align="center" valign="bottom" rowspan="1" colspan="1">296 (40)</td><td align="center" valign="bottom" rowspan="1" colspan="1">17 (25)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">Tracheostomy, n (%)</td><td align="center" valign="bottom" rowspan="1" colspan="1">117 (16)</td><td align="center" valign="bottom" rowspan="1" colspan="1">26 (38)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">Central venous catheter, n (%)</td><td align="center" valign="bottom" rowspan="1" colspan="1">376 (51)</td><td align="center" valign="bottom" rowspan="1" colspan="1">22 (33)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">ICU day of swab specimen collection,<sup><xref rid="TFN2" ref-type="table-fn">a</xref></sup> median (IQR)</td><td align="center" valign="bottom" rowspan="1" colspan="1">4 (2, 8)</td><td align="center" valign="bottom" rowspan="1" colspan="1">2 (1, 3)<sup><xref rid="TFN3" ref-type="table-fn">b</xref></sup></td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">Hospital day of swab specimen collection,<sup><xref rid="TFN2" ref-type="table-fn">a</xref></sup> median (IQR)</td><td align="center" valign="bottom" rowspan="1" colspan="1">5 (3, 13)</td><td align="center" valign="bottom" rowspan="1" colspan="1">2 (2, 4)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">CHG bath received, n (%)</td><td align="center" valign="bottom" rowspan="1" colspan="1">653 (90)</td><td align="center" valign="bottom" rowspan="1" colspan="1">51 (75)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;Hours since last CHG bath, median (IQR)</td><td align="center" valign="bottom" rowspan="1" colspan="1">10 (5, 17)</td><td align="center" valign="bottom" rowspan="1" colspan="1">11 (9, 29)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">Median CHG skin concentration,<sup><xref rid="TFN4" ref-type="table-fn">c</xref></sup> &#x003bc;g/mL (IQR)</td><td align="center" valign="bottom" rowspan="1" colspan="1">39.1 (4.9, 312.5)</td><td align="center" valign="bottom" rowspan="1" colspan="1">78.1 (&#x0003c;4.9, 312.5)</td></tr></tbody></table><table-wrap-foot><fn id="TFN1"><p id="P35">Note. CHG, chlorhexidine gluconate; CPE, carbapenemase-producing Enterobacterales; ICU, intensive care unit; IQR, interquartile range; SD, standard deviation.</p></fn><fn id="TFN2"><label>a</label><p id="P36">Days from admission to swab specimen collection.</p></fn><fn id="TFN3"><label>b</label><p id="P37">Includes 44 ICU patients at the time of sample collection.</p></fn><fn id="TFN4"><label>c</label><p id="P38">Includes 2,163 skin swabs for the multicenter cohort and 201 skin swabs for the CPE cohort.</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T2" orientation="landscape"><label>Table 2.</label><caption><p id="P39">Prevalence of microorganisms by body site on skin of intensive care unit patients at 7 hospitals where chlorhexidine gluconate bathing was routine</p></caption><table frame="hsides" rules="rows"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="bottom" rowspan="1" colspan="1">Organism</th><th align="center" valign="bottom" rowspan="1" colspan="1">Neck (N=732)</th><th align="center" valign="bottom" rowspan="1" colspan="1">Axilla (N=730)</th><th align="center" valign="bottom" rowspan="1" colspan="1">Inguinal (N=714)</th><th align="center" valign="bottom" rowspan="1" colspan="1">Any site<sup><xref rid="TFN5" ref-type="table-fn">a</xref></sup> (N=736)</th></tr></thead><tbody><tr><td align="left" valign="bottom" rowspan="1" colspan="1">Gram-positive bacteria, n (%)</td><td align="center" valign="bottom" rowspan="1" colspan="1">614 (84)</td><td align="center" valign="bottom" rowspan="1" colspan="1">463 (63)</td><td align="center" valign="bottom" rowspan="1" colspan="1">457 (64)</td><td align="center" valign="bottom" rowspan="1" colspan="1">682 (93)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">Selected gram-positive species</td><td align="center" valign="bottom" rowspan="1" colspan="1"/><td align="center" valign="bottom" rowspan="1" colspan="1"/><td align="center" valign="bottom" rowspan="1" colspan="1"/><td align="center" valign="bottom" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;<italic toggle="yes">Staphylococcus aureus</italic>, n (%)</td><td align="center" valign="bottom" rowspan="1" colspan="1">66 (9)</td><td align="center" valign="bottom" rowspan="1" colspan="1">27 (4)</td><td align="center" valign="bottom" rowspan="1" colspan="1">35 (5)</td><td align="center" valign="bottom" rowspan="1" colspan="1">96 (13)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;Methicillin-resistant <italic toggle="yes">S. aureus,</italic> n (%)</td><td align="center" valign="bottom" rowspan="1" colspan="1">21 (3)</td><td align="center" valign="bottom" rowspan="1" colspan="1">8 (1)</td><td align="center" valign="bottom" rowspan="1" colspan="1">11 (2)</td><td align="center" valign="bottom" rowspan="1" colspan="1">28 (4)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;<italic toggle="yes">Enterococcus</italic> species<sup><xref rid="TFN6" ref-type="table-fn">b</xref></sup>, n (%)</td><td align="center" valign="bottom" rowspan="1" colspan="1">73 (10)</td><td align="center" valign="bottom" rowspan="1" colspan="1">41 (6)</td><td align="center" valign="bottom" rowspan="1" colspan="1">127 (18)</td><td align="center" valign="bottom" rowspan="1" colspan="1">177 (24)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;Vancomycin-resistant enterococci<sup><xref rid="TFN6" ref-type="table-fn">b</xref></sup>, n (%)</td><td align="center" valign="bottom" rowspan="1" colspan="1">24 (3)</td><td align="center" valign="bottom" rowspan="1" colspan="1">12 (2)</td><td align="center" valign="bottom" rowspan="1" colspan="1">45 (6)</td><td align="center" valign="bottom" rowspan="1" colspan="1">61 (8)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">Gram-negative bacteria, n (%)</td><td align="center" valign="bottom" rowspan="1" colspan="1">62 (8)</td><td align="center" valign="bottom" rowspan="1" colspan="1">46 (6)</td><td align="center" valign="bottom" rowspan="1" colspan="1">89 (12)</td><td align="center" valign="bottom" rowspan="1" colspan="1">150 (20)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">Selected gram-negative species</td><td align="center" valign="bottom" rowspan="1" colspan="1"/><td align="center" valign="bottom" rowspan="1" colspan="1"/><td align="center" valign="bottom" rowspan="1" colspan="1"/><td align="center" valign="bottom" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;<italic toggle="yes">Acinetobacter</italic> species, n (%)</td><td align="center" valign="bottom" rowspan="1" colspan="1">9 (1)</td><td align="center" valign="bottom" rowspan="1" colspan="1">5 (0.7)</td><td align="center" valign="bottom" rowspan="1" colspan="1">7 (1)</td><td align="center" valign="bottom" rowspan="1" colspan="1">15 (2)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;<italic toggle="yes">Klebsiella pneumoniae</italic>, n (%)</td><td align="center" valign="bottom" rowspan="1" colspan="1">23 (3)</td><td align="center" valign="bottom" rowspan="1" colspan="1">17 (2)</td><td align="center" valign="bottom" rowspan="1" colspan="1">23 (3)</td><td align="center" valign="bottom" rowspan="1" colspan="1">45 (6)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;<italic toggle="yes">Pseudomonas aeruginosa</italic>, n (%)</td><td align="center" valign="bottom" rowspan="1" colspan="1">16 (2)</td><td align="center" valign="bottom" rowspan="1" colspan="1">12 (2)</td><td align="center" valign="bottom" rowspan="1" colspan="1">21 (3)</td><td align="center" valign="bottom" rowspan="1" colspan="1">44 (6)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1"><italic toggle="yes">Candida</italic> species, n (%)</td><td align="center" valign="bottom" rowspan="1" colspan="1">78 (11)</td><td align="center" valign="bottom" rowspan="1" colspan="1">61 (8)</td><td align="center" valign="bottom" rowspan="1" colspan="1">120 (17)</td><td align="center" valign="bottom" rowspan="1" colspan="1">188 (26)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">Selected <italic toggle="yes">Candida</italic> species</td><td align="center" valign="bottom" rowspan="1" colspan="1"/><td align="center" valign="bottom" rowspan="1" colspan="1"/><td align="center" valign="bottom" rowspan="1" colspan="1"/><td align="center" valign="bottom" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;<italic toggle="yes">Candida auris,</italic> n (%)</td><td align="center" valign="bottom" rowspan="1" colspan="1">1 (0.1)</td><td align="center" valign="bottom" rowspan="1" colspan="1">2 (0.3)</td><td align="center" valign="bottom" rowspan="1" colspan="1">0 (0)</td><td align="center" valign="bottom" rowspan="1" colspan="1">3 (0.4)</td></tr></tbody></table><table-wrap-foot><fn id="TFN5"><label>a</label><p id="P40">Organism detection on any body site.</p></fn><fn id="TFN6"><label>b</label><p id="P41"><italic toggle="yes">E. faecalis</italic> and <italic toggle="yes">E. faecium.</italic></p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T3"><label>Table 3.</label><caption><p id="P42">Effect of chlorhexidine gluconate skin concentration on the odds of recovering selected microorganisms from the skin by culture<sup><xref rid="TFN8" ref-type="table-fn">a</xref></sup></p></caption><table frame="hsides" rules="rows"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="bottom" rowspan="1" colspan="1">Organism</th><th align="center" valign="bottom" rowspan="1" colspan="1">Odds ratio<break/>(95% CI)</th><th align="center" valign="bottom" rowspan="1" colspan="1"><italic toggle="yes">P</italic> value</th></tr></thead><tbody><tr><td align="left" valign="bottom" rowspan="1" colspan="1">Gram-positive bacteria</td><td align="center" valign="bottom" rowspan="1" colspan="1">0.84 (0.80&#x02013;0.87)</td><td align="center" valign="bottom" rowspan="1" colspan="1">&#x0003c;.001</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Selected gram-positive species</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;<italic toggle="yes">Staphylococcus aureus</italic><sup><xref rid="TFN9" ref-type="table-fn">b</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1">0.85 (0.8&#x02013;0.91)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x0003c;.001</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Methicillin-resistant <italic toggle="yes">S. aureus</italic></td><td align="center" valign="top" rowspan="1" colspan="1">0.86 (0.75&#x02013;0.98)</td><td align="center" valign="top" rowspan="1" colspan="1">.02</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;<italic toggle="yes">Enterococcus</italic> species<sup><xref rid="TFN9" ref-type="table-fn">b</xref>,<xref rid="TFN10" ref-type="table-fn">c</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1">0.97 (0.93&#x02013;1.02)</td><td align="center" valign="top" rowspan="1" colspan="1">.19</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Vancomycin-resistant enterococci<sup><xref rid="TFN10" ref-type="table-fn">c</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1">0.97 (0.90&#x02013;1.06)</td><td align="center" valign="top" rowspan="1" colspan="1">.52</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Gram-negative bacteria</td><td align="center" valign="top" rowspan="1" colspan="1">0.96 (0.91&#x02013;1.02)</td><td align="center" valign="top" rowspan="1" colspan="1">.17</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Selected gram-negative species</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;<italic toggle="yes">Acinetobacter</italic> species</td><td align="center" valign="top" rowspan="1" colspan="1">1.04 (0.88&#x02013;1.21)</td><td align="center" valign="top" rowspan="1" colspan="1">.66</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;<italic toggle="yes">Klebsiella pneumoniae</italic></td><td align="center" valign="top" rowspan="1" colspan="1">0.93 (0.84&#x02013;1.02)</td><td align="center" valign="top" rowspan="1" colspan="1">.13</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;<italic toggle="yes">Pseudomonas aeruginosa</italic></td><td align="center" valign="top" rowspan="1" colspan="1">1.02 (0.92&#x02013;1.13)</td><td align="center" valign="top" rowspan="1" colspan="1">.68</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Carbapenemase-producing Enterobacterales species</td><td align="center" valign="top" rowspan="1" colspan="1">0.94 (0.84&#x02013;1.06)</td><td align="center" valign="top" rowspan="1" colspan="1">.33</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"><italic toggle="yes">Candida</italic> species</td><td align="center" valign="top" rowspan="1" colspan="1">0.93 (0.89&#x02013;0.98)</td><td align="center" valign="top" rowspan="1" colspan="1">.008</td></tr></tbody></table><table-wrap-foot><fn id="TFN7"><p id="P43">Note. CI, confidence interval; CHG, chlorhexidine gluconate; CPE, carbapenemase-producing Enterobacterales. Mixed effect models included a random intercept for body sites clustered within patient and fixed effects for hospital, body site, and CHG skin concentration. Hospitals without positive detection of the target microorganism were excluded from the analysis. Odds ratios represent the change in odds of microbial recovery for every twofold increase in CHG skin concentration.</p></fn><fn id="TFN8"><label>a</label><p id="P44">Results from the multicenter cohort of 7 hospital intensive care units, except CPE skin detection from patients with CPE colonization based on rectal or stool culture hospital-wide at a single center.</p></fn><fn id="TFN9"><label>b</label><p id="P45">Model with a random effect for multiple body sites within the patient did not converge; the random effect was removed for this outcome.</p></fn><fn id="TFN10"><label>c</label><p id="P46"><italic toggle="yes">E. faecalis</italic> and <italic toggle="yes">E. faecium.</italic></p></fn></table-wrap-foot></table-wrap></floats-group></article>