<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing with OASIS Tables v3.0 20080202//EN" "https://jats.nlm.nih.gov/nlm-dtd/publishing/3.0/journalpub-oasis3.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:oasis="http://docs.oasis-open.org/ns/oasis-exchange/table" xml:lang="en" dtd-version="3.0" article-type="research-article">
  <front>
    <journal-meta><journal-id journal-id-type="publisher">JBJI</journal-id><journal-title-group>
    <journal-title>Journal of Bone and Joint Infection</journal-title>
    <abbrev-journal-title abbrev-type="publisher">JBJI</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">J. Bone Joint Infect.</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">2206-3552</issn><publisher>
    <publisher-name>Copernicus Publications</publisher-name>
    <publisher-loc>Göttingen, Germany</publisher-loc>
  </publisher></journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.5194/jbji-11-355-2026</article-id><title-group><article-title>Gram-negative prosthetic joint infections: a  retrospective multicentre European study of  incidence, risk factors, and treatment outcomes</article-title><alt-title>Gram-negative prosthetic joint infections: a retrospective multicentre European study</alt-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1 aff2">
          <name><surname>Famada Arboix</surname><given-names>Ernest</given-names></name>
          <email>ernest.famada.arboix@hmar.cat</email>
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>Fischbacher</surname><given-names>Arnaud</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Ferrari</surname><given-names>Matteo Carlo Maria</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>Borens</surname><given-names>Olivier</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff2">
          <name><surname>Pérez-Prieto</surname><given-names>Daniel</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>Universitat Pompeu Fabra de Barcelona, Barcelona, Spain</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Hospital del Mar de Barcelona, Barcelona, Spain</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Humanitas Clinical and Research Hospital IRCCS, Rozzano, Milan, Italy</institution>
        </aff>
        <aff id="aff4"><label>4</label><institution>Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Ernest Famada Arboix (ernest.famada.arboix@hmar.cat)</corresp></author-notes><pub-date><day>19</day><month>June</month><year>2026</year></pub-date>
      
      <volume>11</volume>
      <issue>3</issue>
      <fpage>355</fpage><lpage>361</lpage>
      <history>
        <date date-type="received"><day>27</day><month>February</month><year>2026</year></date>
           <date date-type="rev-recd"><day>28</day><month>April</month><year>2026</year></date>
           <date date-type="accepted"><day>15</day><month>May</month><year>2026</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2026 Ernest Famada Arboix et al.</copyright-statement>
        <copyright-year>2026</copyright-year>
      <license license-type="open-access"><license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p></license></permissions><self-uri xlink:href="https://jbji.copernicus.org/articles/11/355/2026/jbji-11-355-2026.html">This article is available from https://jbji.copernicus.org/articles/11/355/2026/jbji-11-355-2026.html</self-uri><self-uri xlink:href="https://jbji.copernicus.org/articles/11/355/2026/jbji-11-355-2026.pdf">The full text article is available as a PDF file from https://jbji.copernicus.org/articles/11/355/2026/jbji-11-355-2026.pdf</self-uri>
      <abstract><title>Abstract</title>

      <p id="d2e139"><bold>Background</bold>: Gram-negative (GN) bacteria are an increasingly recognized cause of prosthetic joint infection (PJI), accounting for 10 %–20 % of cases. However, epidemiological data from European centres remain limited. This study aimed to evaluate the incidence, risk factors, microbiological profile, and treatment outcomes of GN PJI in several European tertiary referral hospitals. <bold>Methods</bold>: We conducted a retrospective multicentre study including all culture-positive hip and knee PJIs diagnosed between 2014 and 2018 at three tertiary hospitals in Italy, Spain, and Switzerland. Demographic characteristics, comorbidities, surgical management, microbiological data including antimicrobial susceptibility, and treatment outcomes were analysed. Treatment success was defined as absence of persistent or recurrent infection requiring additional surgery, prosthesis removal, infection-related mortality, or long-term suppressive antibiotic therapy. <bold>Results</bold>: Among 780 confirmed PJIs, 71 (9.1 %) were caused by GN bacteria. The most frequent pathogens were polymicrobial infections (29.6 %), <italic>Escherichia coli</italic> (25.4 %), and <italic>Pseudomonas aeruginosa</italic> (19.7 %). GN PJI mainly affected elderly patients (median age 74 years), females (60.6 %), and those with comorbidities such as diabetes mellitus (32.4 %) and those who are overweight/obese (62 %). Hip infections were more common than knee infections (59.2 % vs. 40.8 %). Overall treatment success was 89 %. Two-stage revision showed the highest success rate of 94.8 % compared with one-stage exchange (88 %) and DAIR (81 %). Ciprofloxacin was used in 72 % of cases. <bold>Conclusions</bold>: GN PJI incidence was comparable to that of previous reports. These infections occur more often in elderly patients with comorbidities. Two-stage revision remains the most effective surgical strategy, and ciprofloxacin continues to be a key component of antimicrobial therapy for susceptible GN infections.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d2e168">Prosthetic joint infections (PJIs) caused by gram-negative (GN) bacteria have become an increasingly recognized and concerning cause of prosthetic failure. Bacteria resistance to antibiotics is one of the main problems that orthopaedic surgery faces nowadays. Common clinically relevant gram-negative bacteria include genera such as <italic>Escherichia coli</italic> and <italic>Klebsiella</italic> species and non-fermenters like <italic>Pseudomonas aeruginosa</italic> (Fantoni et al., 2019; Patel, 2023).</p>
      <p id="d2e180">Gram-positive bacteria, particularly <italic>Staphylococcus aureus</italic>, have historically been the predominant pathogens in PJI cases as they constitute 65 % to 85 % of cases. However, the role of GN bacteria is drawing more attention as they are responsible for approximately 10 % to 20 % of PJI (Casenaz et al., 2022; Hsieh et al., 2009; Ma et al., 2023). The incidence of GN PJIs is higher in elderly patients, those with compromised immune systems, and individuals with comorbidities (Chang et al., 2023; Karczewski et al., 2024). The global trend of rising joint replacement surgeries, coupled with the ageing population in many developed countries, is likely to drive the growing incidence of these infections in the coming years. That fact is making this a public health concern of increasing importance due to the burden of the disease, especially the economic impact on governments (Sadhwani et al., 2024).</p>
      <p id="d2e186">The mounting incidence of antibiotic resistance among many gram-negative pathogens like <italic>Escherichia coli</italic>, <italic>Pseudomonas aeruginosa</italic>, <italic>Klebsiella</italic> spp., and <italic>Acinetobacter baumannii</italic> only adds to the complexity. It is well recognized that these infections are becoming ever harder to manage with standard antimicrobial regimens (Gonzalez et al., 2025).</p>
      <p id="d2e201">Moreover, resistance to quinolones, which are the antibiofilm antibiotic for GN PJI, has been increasing over recent years. In addition, ciprofloxacin is the only oral antibiotic available for non-fermenting gram-negative bacteria (NFGNB). When quinolone resistance occurs, it makes PJI treatment extremely difficult (Gómez-Junyent et al., 2025; Macesic et al., 2025).</p>
      <p id="d2e205">Despite the growing recognition of GN pathogens in PJIs, the epidemiological impact of these infections remains poorly described, considering that joint replacement surgeries are increasing at a steady pace in Europe. Given the ageing population and the expanding number of total hip and knee replacements performed in Europe, understanding the true scale of GN PJI is essential to developing effective prevention strategies and treatment protocols. In this context, there is a need for multicentric studies that focus on the clinical characteristics, risk factors, microbial profiles, and treatment outcomes associated with GN PJI.</p>
      <p id="d2e208">The primary aim of this study was to determine the incidence of gram-negative prosthetic joint infections (GN PJIs) across different European centres and to describe the treatment success rate according to the type of treatment.</p>
      <p id="d2e211">Secondary objectives included the identification of major risk factors, characterization of the type of infection (early, delayed, or chronic), description of surgical management approaches, and analysis of microbiological data (including causative organisms and antibiotic resistance patterns). Additionally, we assessed the demographic and clinical characteristics of affected patients and the impact of GN PJI on patient outcomes.</p>
</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Methodology</title>
<sec id="Ch1.S2.SS1">
  <label>2.1</label><title>Study design and population</title>
      <p id="d2e229">This is a retrospective study conducted in three tertiary-level referral university hospitals in three different European countries. They include the Humanitas Clinical and Research Hospital IRCCS, (Rozzano, Milan, Italy), Hospital del Mar (Barcelona, Spain), and the Centre Hospitalier Universitaire Vaudois-CHUV (Lausanne, Switzerland). All culture-positive hip and knee PJIs that were diagnosed from 2014 to 2018 in these centres were included.</p>
</sec>
<sec id="Ch1.S2.SS2">
  <label>2.2</label><title>Dataset</title>
      <p id="d2e240">The dataset was constructed with data extracted from patient electronic health records from the previously mentioned centres.</p>
      <p id="d2e243">To identify cases of GN PJI, multiple institutional databases were screened, including those related to hospital discharge diagnoses, surgical site infections, and microbiological results.</p>
      <p id="d2e246">Medical records of all potentially eligible patients were subsequently reviewed to confirm the diagnosis of GN PJI according to the established criteria of Zimmerli et al. (2004). During this process, relevant demographic data, clinical characteristics, and risk factors were systematically collected using a standardized data extraction approach.</p>
      <p id="d2e249">Information related to joint infections, prosthetic joint infections, prosthetic debridement, and partial or total revisions was extracted from those data.</p>
      <p id="d2e253">Only patients with microbiologically confirmed GN PJI, defined by positive cultures for gram-negative organisms, were included in the final analysis.</p>
      <p id="d2e256">Exclusion criteria were patients under 18 years of age, patients that did not have a confirmed diagnosis of a PJI, and patients that were unable to fully understand the nature and purpose of the study.</p>
      <p id="d2e259">The final sample consisted of 780 patients with a confirmed PJI.</p>
</sec>
<sec id="Ch1.S2.SS3">
  <label>2.3</label><title>Statistical analysis</title>
      <p id="d2e270">The descriptive analysis was performed based on each type of variable. Qualitative variables were encoded numerically and were expressed as a percentage (%) of the total sample. Continuous quantitative variables were expressed as means (range), while ordinal quantitative variables were reported as mean values. A comparative analysis was conducted using the <inline-formula><mml:math id="M1" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">χ</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> (chi-square) test.</p>
      <p id="d2e284">All statistical analyses were conducted with the IBM SPSS Statistics 31.0.0 software package.</p>
</sec>
</sec>
<sec id="Ch1.S3">
  <label>3</label><title>Results</title>
      <p id="d2e296">In the present cohort, 71 (9.1 %) out of the 780 PJIs were caused by GN bacteria (Table 1). Polymicrobial infection was the most prevalent with 29.6 %, followed by <italic>Escherichia coli</italic> at 25.4 % and <italic>Pseudomonas aeruginosa</italic> at 19.7 % (Table 2, Fig. 1). GN PJIs were more common in females (60.6 %) than males (39.4 %). Comorbidities were also remarkable in the present sample: diabetes mellitus was diagnosed in 32.4 % of the patients, and 62 % were overweight. The median age in the sample was 74 years with a median ASA score of 3.</p>

<table-wrap id="T1"><label>Table 1</label><caption><p id="d2e309">Population demography.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="2">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Total PJIs</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M4" display="inline"><mml:mrow><mml:mi>N</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">780</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">GN PJI</oasis:entry>
         <oasis:entry colname="col2">71 (9.1 %)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry namest="col1" nameend="col2">Age </oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Mean (SD)</oasis:entry>
         <oasis:entry colname="col2">73.31 (11.13)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Median (<inline-formula><mml:math id="M5" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M6" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col2">74.0 (65.0, 82.0)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Min, max</oasis:entry>
         <oasis:entry colname="col2">42.0, 93.4</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"><inline-formula><mml:math id="M7" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> (% non-missing)</oasis:entry>
         <oasis:entry colname="col2">71 (100.0 %)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry namest="col1" nameend="col2">Gender </oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Male</oasis:entry>
         <oasis:entry colname="col2">28 (39.4 %)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Female</oasis:entry>
         <oasis:entry colname="col2">43 (60.6 %)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry namest="col1" nameend="col2">Arthroplasty </oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Hip</oasis:entry>
         <oasis:entry colname="col2">42 (59.2 %)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Knee</oasis:entry>
         <oasis:entry colname="col2">29 (40.8 %)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry namest="col1" nameend="col2">Overweight </oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"><inline-formula><mml:math id="M8" display="inline"><mml:mi>Y</mml:mi></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">44 (62.0 %)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry namest="col1" nameend="col2">ASA </oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">2</oasis:entry>
         <oasis:entry colname="col2">32 (45.1 %)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">3</oasis:entry>
         <oasis:entry colname="col2">36 (50.7 %)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">4</oasis:entry>
         <oasis:entry colname="col2">3 (4.2 %)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Diabetes</oasis:entry>
         <oasis:entry colname="col2">23 (32.4 %)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Immunosuppression</oasis:entry>
         <oasis:entry colname="col2">6 (8.5 %)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">COPD</oasis:entry>
         <oasis:entry colname="col2">15 (21.1 %)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry namest="col1" nameend="col2">Infection type </oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Acute</oasis:entry>
         <oasis:entry colname="col2">14 (19.7 %)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Acute hematogenous</oasis:entry>
         <oasis:entry colname="col2">14 (19.7 %)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Chronic</oasis:entry>
         <oasis:entry colname="col2">43 (60.6 %)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Resistances</oasis:entry>
         <oasis:entry colname="col2">20 (28.2 %)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Resistant ESBL<sup>1</sup></oasis:entry>
         <oasis:entry colname="col2">11 (15.5 %)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Resistant ciprofloxacin</oasis:entry>
         <oasis:entry colname="col2">12 (16.9 %)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry namest="col1" nameend="col2">Treatment </oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">One stage</oasis:entry>
         <oasis:entry colname="col2">8 (11.3 %)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Two stages</oasis:entry>
         <oasis:entry colname="col2">39 (54.9 %)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">DAIR<sup>2</sup></oasis:entry>
         <oasis:entry colname="col2">21 (29.6 %)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Implant removal without replacement</oasis:entry>
         <oasis:entry colname="col2">3 (4.2 %)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry namest="col1" nameend="col2">Outcome </oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Relapse</oasis:entry>
         <oasis:entry colname="col2">8 (11.3 %)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Cured</oasis:entry>
         <oasis:entry colname="col2">63 (88.7 %)</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table><table-wrap-foot><p id="d2e312"><sup>1</sup> ESBL (extended-spectrum betalactamases). <sup>2</sup> DAIR (debridation antibiotic and implant retention).</p></table-wrap-foot></table-wrap>

<table-wrap id="T2"><label>Table 2</label><caption><p id="d2e745">Microorganism distribution.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="2">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">Polimicrobial infection</oasis:entry>
         <oasis:entry colname="col2">21 (29.6 %)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><italic>E. coli</italic></oasis:entry>
         <oasis:entry colname="col2">18 (25.4 %)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><italic>Pseudomonas aeruginosa</italic></oasis:entry>
         <oasis:entry colname="col2">14 (19.7 %)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><italic>Proteus vulgaris</italic></oasis:entry>
         <oasis:entry colname="col2">1 (1.4 %)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><italic>Proteus mirabillis</italic></oasis:entry>
         <oasis:entry colname="col2">2 (2.8 %)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><italic>Klebsiella pneumonie</italic></oasis:entry>
         <oasis:entry colname="col2">1 (1.4 %)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><italic>Morganella morganii</italic></oasis:entry>
         <oasis:entry colname="col2">2 (2.8 %)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><italic>Enter obacter cloacae</italic></oasis:entry>
         <oasis:entry colname="col2">2 (2.8 %)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><italic>Fusobacterium nucleatum</italic></oasis:entry>
         <oasis:entry colname="col2">1 (1.4 %)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><italic>Klebsiella oxytoca</italic></oasis:entry>
         <oasis:entry colname="col2">1 (1.4 %)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><italic>Cuprividus pauculus</italic></oasis:entry>
         <oasis:entry colname="col2">2 (2.8 %)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><italic>Neisseria flavescens</italic></oasis:entry>
         <oasis:entry colname="col2">1 (1.4 %)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><italic>Pantoea agglomerans</italic></oasis:entry>
         <oasis:entry colname="col2">1 (1.4 %)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><italic>Ralstonia pickettii</italic></oasis:entry>
         <oasis:entry colname="col2">2 (2.8 %)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><italic>Ralstonia insidiosa</italic></oasis:entry>
         <oasis:entry colname="col2">1 (1.4 %)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><italic>Campylocabter fetus</italic></oasis:entry>
         <oasis:entry colname="col2">1 (1.4 %)</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <fig id="F1" specific-use="star"><label>Figure 1</label><caption><p id="d2e924">Microorganism infection distribution.</p></caption>
        <graphic xlink:href="https://jbji.copernicus.org/articles/11/355/2026/jbji-11-355-2026-f01.png"/>

      </fig>

      <p id="d2e933">Within the GN group consisting of 71 cases, 59.2 % had a hip infection, and 40.8 % had a knee infection.</p>
      <p id="d2e937">Two-stage revision was performed in 54.9 % of the patients, debridement antibiotic and implant retention (DAIR) in 29.6 %, one-step exchange in 11.3 %, and implant removal without replacement in 4.2 %.</p>
      <p id="d2e940">The overall treatment success rate was 89 %. Interestingly, the success rate was better for the two-step replacement (94.8 %) when compared to the one-step replacement (88 %) and (DAIR) with a success rate of 81 % (<inline-formula><mml:math id="M11" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.187</mml:mn></mml:mrow></mml:math></inline-formula>) (Table 2).</p>
      <p id="d2e955">The median duration of antibiotic treatment in the success group was 72 d, and the duration was 80 d in the failure group. Ciprofloxacin was used as oral treatment in 51 cases (72 %). No ciprofloxacin resistances were observed in the relapsed group, whereas there were 12 resistant cases in the cured group (19 %). Ciprofloxacin was used in seven out of eight relapsed cases.</p>
      <p id="d2e958">Infections caused by <italic>Escherichia coli</italic> were associated with a lower success rate (83 %) than that of <italic>Pseudomonas aeruginosa</italic> (93 %) and polymicrobial infections (90 %) (<inline-formula><mml:math id="M12" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.358</mml:mn></mml:mrow></mml:math></inline-formula>).</p>
      <p id="d2e980">Finally, the success rate was better in knee PJI compared to hip PJI (97 % vs. 83 %, <inline-formula><mml:math id="M13" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.121</mml:mn></mml:mrow></mml:math></inline-formula>) and in females compared to males (93 % vs. 82 %, <inline-formula><mml:math id="M14" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.121</mml:mn></mml:mrow></mml:math></inline-formula>) (Table 3).</p>
</sec>
<sec id="Ch1.S4">
  <label>4</label><title>Discussion</title>
      <p id="d2e1015">The most interesting finding of the present study is that it confirms the reported trend of PJI caused by GN bacteria. In the present cohort they accounted for 9.1 % of all PJI cases, consistent with large series reporting a 11 %–15 % prevalence rate for GN PJI (Hsieh et al., 2009). The most common causative organisms were <italic>Escherichia coli</italic> and <italic>Pseudomonas aeruginosa</italic>, with a notable number of cases being polymicrobial, which is consistent with the higher rate of polymicrobial gram-negative PJI described in the literature (Fantoni et al., 2019).</p>
      <p id="d2e1024">GN PJIs were more frequent in females and in older patients. They also had high rates of comorbidities such as diabetes and high body mass index. These findings are consistent with prior studies showing being elderly and having comorbidities as risk factors for gram-negative PJI. Karczewski et al. (2024) highlighted that the mean age of patients with GN PJIs was 77 years, and a significant proportion had comorbidities such as diabetes mellitus (Karczewski et al., 2024). Additionally, Chang et al. (2023) noted that gram-negative bacteria were more frequently isolated in patients with chronic PJIs that often have underlying health issues (Chang et al., 2023).</p>

<table-wrap id="T3a" specific-use="star"><label>Table 3</label><caption><p id="d2e1030">Population demography description by outcome.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="5">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:thead>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">Relapse</oasis:entry>
         <oasis:entry colname="col3">Cured</oasis:entry>
         <oasis:entry colname="col4">Total</oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M15" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> value</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">(<inline-formula><mml:math id="M16" display="inline"><mml:mrow><mml:mi>N</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">8</mml:mn></mml:mrow></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col3">(<inline-formula><mml:math id="M17" display="inline"><mml:mrow><mml:mi>N</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">63</mml:mn></mml:mrow></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col4">(<inline-formula><mml:math id="M18" display="inline"><mml:mrow><mml:mi>N</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">71</mml:mn></mml:mrow></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col5"/>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">Age</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5">0.094</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Mean (SD)</oasis:entry>
         <oasis:entry colname="col2">79.97 (7.55)</oasis:entry>
         <oasis:entry colname="col3">72.46 (11.26)</oasis:entry>
         <oasis:entry colname="col4">73.31 (11.13)</oasis:entry>
         <oasis:entry colname="col5"/>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Median (<inline-formula><mml:math id="M19" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M20" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col2">78.8 (76.0, 83.8)</oasis:entry>
         <oasis:entry colname="col3">72.0 (64.0, 82.0)</oasis:entry>
         <oasis:entry colname="col4">74.0 (65.0, 82.0)</oasis:entry>
         <oasis:entry colname="col5"/>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Min, max</oasis:entry>
         <oasis:entry colname="col2">69.0, 93.4</oasis:entry>
         <oasis:entry colname="col3">42.0, 92.0</oasis:entry>
         <oasis:entry colname="col4">42.0, 93.4</oasis:entry>
         <oasis:entry colname="col5"/>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"><inline-formula><mml:math id="M21" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> (% non-missing)</oasis:entry>
         <oasis:entry colname="col2">8 (100.0 %)</oasis:entry>
         <oasis:entry colname="col3">63 (100.0 %)</oasis:entry>
         <oasis:entry colname="col4">71 (100.0 %)</oasis:entry>
         <oasis:entry colname="col5"/>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">ATB duration (days)</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5">0.056</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Mean (SD)</oasis:entry>
         <oasis:entry colname="col2">85.43 (20.65)</oasis:entry>
         <oasis:entry colname="col3">69.83 (47.97)</oasis:entry>
         <oasis:entry colname="col4">71.39 (46.12)</oasis:entry>
         <oasis:entry colname="col5"/>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Median (<inline-formula><mml:math id="M22" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M23" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col2">90.0 (60.0, 90.0)</oasis:entry>
         <oasis:entry colname="col3">66.0 (42.0, 90.0)</oasis:entry>
         <oasis:entry colname="col4">68.0 (48.0, 90.0)</oasis:entry>
         <oasis:entry colname="col5"/>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Min, max</oasis:entry>
         <oasis:entry colname="col2">60.0, 120.0</oasis:entry>
         <oasis:entry colname="col3">28.0, 400.0</oasis:entry>
         <oasis:entry colname="col4">28.0, 400.0</oasis:entry>
         <oasis:entry colname="col5"/>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"><inline-formula><mml:math id="M24" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> (% non-missing)</oasis:entry>
         <oasis:entry colname="col2">7 (87.5 %)</oasis:entry>
         <oasis:entry colname="col3">63 (100.0 %)</oasis:entry>
         <oasis:entry colname="col4">70 (98.6 %)</oasis:entry>
         <oasis:entry colname="col5"/>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Sex</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5">0.249</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Male</oasis:entry>
         <oasis:entry colname="col2">5 (62.5 %)</oasis:entry>
         <oasis:entry colname="col3">23 (36.5 %)</oasis:entry>
         <oasis:entry colname="col4">28 (39.4 %)</oasis:entry>
         <oasis:entry colname="col5"/>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Female</oasis:entry>
         <oasis:entry colname="col2">3 (37.5 %)</oasis:entry>
         <oasis:entry colname="col3">40 (63.5 %)</oasis:entry>
         <oasis:entry colname="col4">43 (60.6 %)</oasis:entry>
         <oasis:entry colname="col5"/>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Arthroplasty</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5">0.130</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Hip</oasis:entry>
         <oasis:entry colname="col2">7 (87.5 %)</oasis:entry>
         <oasis:entry colname="col3">35 (55.6 %)</oasis:entry>
         <oasis:entry colname="col4">42 (59.2 %)</oasis:entry>
         <oasis:entry colname="col5"/>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Knee</oasis:entry>
         <oasis:entry colname="col2">1 (12.5 %)</oasis:entry>
         <oasis:entry colname="col3">28 (44.4 %)</oasis:entry>
         <oasis:entry colname="col4">29 (40.8 %)</oasis:entry>
         <oasis:entry colname="col5"/>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Resistance</oasis:entry>
         <oasis:entry colname="col2">6 (75.0 %)</oasis:entry>
         <oasis:entry colname="col3">45 (71.4 %)</oasis:entry>
         <oasis:entry colname="col4">51 (71.8 %)</oasis:entry>
         <oasis:entry colname="col5">0.601</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Resistance ESBL</oasis:entry>
         <oasis:entry colname="col2">2 (25.0 %)</oasis:entry>
         <oasis:entry colname="col3">9 (14.3 %)</oasis:entry>
         <oasis:entry colname="col4">11 (15.5 %)</oasis:entry>
         <oasis:entry colname="col5">0.336</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Resistance ciprofloxacin</oasis:entry>
         <oasis:entry colname="col2">0 (0.0 %)</oasis:entry>
         <oasis:entry colname="col3">12 (19.0 %)</oasis:entry>
         <oasis:entry colname="col4">12 (16.9 %)</oasis:entry>
         <oasis:entry colname="col5">0.657</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Infection type</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5">1.000</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Acute</oasis:entry>
         <oasis:entry colname="col2">2 (25.0 %)</oasis:entry>
         <oasis:entry colname="col3">12 (19.0 %)</oasis:entry>
         <oasis:entry colname="col4">14 (19.7 %)</oasis:entry>
         <oasis:entry colname="col5"/>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Acute hematogenous</oasis:entry>
         <oasis:entry colname="col2">2 (25.0 %)</oasis:entry>
         <oasis:entry colname="col3">12 (19.0 %)</oasis:entry>
         <oasis:entry colname="col4">14 (19.7 %)</oasis:entry>
         <oasis:entry colname="col5"/>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Chronic</oasis:entry>
         <oasis:entry colname="col2">4 (50.0 %)</oasis:entry>
         <oasis:entry colname="col3">39 (61.9 %)</oasis:entry>
         <oasis:entry colname="col4">43 (60.6 %)</oasis:entry>
         <oasis:entry colname="col5"/>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"><italic>Pseudomonas aeruginosa</italic></oasis:entry>
         <oasis:entry colname="col2">1 (12.5 %)</oasis:entry>
         <oasis:entry colname="col3">13 (20.6 %)</oasis:entry>
         <oasis:entry colname="col4">14 (19.7 %)</oasis:entry>
         <oasis:entry colname="col5">1.000</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"><italic>Enterobacter cloacae</italic></oasis:entry>
         <oasis:entry colname="col2">0 (0.0 %)</oasis:entry>
         <oasis:entry colname="col3">2 (3.2 %)</oasis:entry>
         <oasis:entry colname="col4">2 (2.8 %)</oasis:entry>
         <oasis:entry colname="col5">0.409</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"><italic>E. coli</italic></oasis:entry>
         <oasis:entry colname="col2">3 (37.5 %)</oasis:entry>
         <oasis:entry colname="col3">15 (23.8 %)</oasis:entry>
         <oasis:entry colname="col4">18 (25.4 %)</oasis:entry>
         <oasis:entry colname="col5">1.000</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"><italic>Campylocabter fetus</italic></oasis:entry>
         <oasis:entry colname="col2">0 (0.0 %)</oasis:entry>
         <oasis:entry colname="col3">1 (1.6 %)</oasis:entry>
         <oasis:entry colname="col4">1 (1.4 %)</oasis:entry>
         <oasis:entry colname="col5">1.000</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"><italic>Polimicrobial</italic></oasis:entry>
         <oasis:entry colname="col2">2 (25.0 %)</oasis:entry>
         <oasis:entry colname="col3">19 (30.2 %)</oasis:entry>
         <oasis:entry colname="col4">21 (29.6 %)</oasis:entry>
         <oasis:entry colname="col5">1.000</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"><italic>Klebsiella pneumonie</italic></oasis:entry>
         <oasis:entry colname="col2">0 (0.0 %)</oasis:entry>
         <oasis:entry colname="col3">1 (1.6 %)</oasis:entry>
         <oasis:entry colname="col4">1 (1.4 %)</oasis:entry>
         <oasis:entry colname="col5">0.214</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"><italic>Morganella morganii</italic></oasis:entry>
         <oasis:entry colname="col2">1 (12.5 %)</oasis:entry>
         <oasis:entry colname="col3">1 (1.6 %)</oasis:entry>
         <oasis:entry colname="col4">2 (2.8 %)</oasis:entry>
         <oasis:entry colname="col5">1.000</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"><italic>Proteus vulgaris</italic></oasis:entry>
         <oasis:entry colname="col2">0 (0.0 %)</oasis:entry>
         <oasis:entry colname="col3">1 (1.6 %)</oasis:entry>
         <oasis:entry colname="col4">1 (1.4 %)</oasis:entry>
         <oasis:entry colname="col5">1.000</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"><italic>Proteus mirabillis</italic></oasis:entry>
         <oasis:entry colname="col2">0 (0.0 %)</oasis:entry>
         <oasis:entry colname="col3">2 (3.2 %)</oasis:entry>
         <oasis:entry colname="col4">2 (2.8 %)</oasis:entry>
         <oasis:entry colname="col5">1.000</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"><italic>Fusobacterium nucleatum</italic></oasis:entry>
         <oasis:entry colname="col2">0 (0.0 %)</oasis:entry>
         <oasis:entry colname="col3">1 (1.6 %)</oasis:entry>
         <oasis:entry colname="col4">1 (1.4 %)</oasis:entry>
         <oasis:entry colname="col5">0.113</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"><italic>Klebsiella oxytoca</italic></oasis:entry>
         <oasis:entry colname="col2">1 (12.5 %)</oasis:entry>
         <oasis:entry colname="col3">0 (0.0 %)</oasis:entry>
         <oasis:entry colname="col4">1 (1.4 %)</oasis:entry>
         <oasis:entry colname="col5">1.000</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"><italic>Cuprividus pauculus</italic></oasis:entry>
         <oasis:entry colname="col2">0 (0.0 %)</oasis:entry>
         <oasis:entry colname="col3">2 (3.2 %)</oasis:entry>
         <oasis:entry colname="col4">2 (2.8 %)</oasis:entry>
         <oasis:entry colname="col5">1.000</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"><italic>Neisseria flavescens</italic></oasis:entry>
         <oasis:entry colname="col2">0 (0.0 %)</oasis:entry>
         <oasis:entry colname="col3">1 (1.6 %)</oasis:entry>
         <oasis:entry colname="col4">1 (1.4 %)</oasis:entry>
         <oasis:entry colname="col5">1.000</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"><italic>Pantoea agglomerans</italic></oasis:entry>
         <oasis:entry colname="col2">0 (0.0 %)</oasis:entry>
         <oasis:entry colname="col3">1 (1.6 %)</oasis:entry>
         <oasis:entry colname="col4">1 (1.4 %)</oasis:entry>
         <oasis:entry colname="col5">1.000</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"><italic>Ralstonia pickettii</italic></oasis:entry>
         <oasis:entry colname="col2">0 (0.0 %)</oasis:entry>
         <oasis:entry colname="col3">2 (3.2 %)</oasis:entry>
         <oasis:entry colname="col4">2 (2.8 %)</oasis:entry>
         <oasis:entry colname="col5">1.000</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"><italic>Ralstonia insidiosa</italic></oasis:entry>
         <oasis:entry colname="col2">0 (0.0 %)</oasis:entry>
         <oasis:entry colname="col3">1 (1.6 %)</oasis:entry>
         <oasis:entry colname="col4">1 (1.4 %)</oasis:entry>
         <oasis:entry colname="col5">0.128</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Treatment</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5">0.047</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">One stage</oasis:entry>
         <oasis:entry colname="col2">1 (12.5 %)</oasis:entry>
         <oasis:entry colname="col3">7 (11.1 %)</oasis:entry>
         <oasis:entry colname="col4">8 (11.3 %)</oasis:entry>
         <oasis:entry colname="col5"/>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Two stages</oasis:entry>
         <oasis:entry colname="col2">2 (25.0 %)</oasis:entry>
         <oasis:entry colname="col3">37 (58.7 %)</oasis:entry>
         <oasis:entry colname="col4">39 (54.9 %)</oasis:entry>
         <oasis:entry colname="col5"/>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">DAIR<sup>*</sup></oasis:entry>
         <oasis:entry colname="col2">4 (50.0 %)</oasis:entry>
         <oasis:entry colname="col3">17 (27.0 %)</oasis:entry>
         <oasis:entry colname="col4">21 (29.6 %)</oasis:entry>
         <oasis:entry colname="col5"/>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

<table-wrap id="T3b" specific-use="star"><label>Table 3</label><caption><p id="d2e1976">Continued.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="5">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:thead>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">Relapse</oasis:entry>
         <oasis:entry colname="col3">Cured</oasis:entry>
         <oasis:entry colname="col4">Total</oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M27" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> value</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">(<inline-formula><mml:math id="M28" display="inline"><mml:mrow><mml:mi>N</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">8</mml:mn></mml:mrow></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col3">(<inline-formula><mml:math id="M29" display="inline"><mml:mrow><mml:mi>N</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">63</mml:mn></mml:mrow></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col4">(<inline-formula><mml:math id="M30" display="inline"><mml:mrow><mml:mi>N</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">71</mml:mn></mml:mrow></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col5"/>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Implant removal without replacement</oasis:entry>
         <oasis:entry colname="col2">1 (12.5 %)</oasis:entry>
         <oasis:entry colname="col3">2 (3.2 %)</oasis:entry>
         <oasis:entry colname="col4">3 (4.2 %)</oasis:entry>
         <oasis:entry colname="col5"/>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Overweight</oasis:entry>
         <oasis:entry colname="col2">2 (25.0 %)</oasis:entry>
         <oasis:entry colname="col3">42 (66.7 %)</oasis:entry>
         <oasis:entry colname="col4">44 (62.0 %)</oasis:entry>
         <oasis:entry colname="col5">0.399</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">ASA</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5">0.708</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">2</oasis:entry>
         <oasis:entry colname="col2">3 (37.5 %)</oasis:entry>
         <oasis:entry colname="col3">29 (46.0 %)</oasis:entry>
         <oasis:entry colname="col4">32 (45.1 %)</oasis:entry>
         <oasis:entry colname="col5"/>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">3</oasis:entry>
         <oasis:entry colname="col2">4 (50.0 %)</oasis:entry>
         <oasis:entry colname="col3">32 (50.8 %)</oasis:entry>
         <oasis:entry colname="col4">36 (50.7 %)</oasis:entry>
         <oasis:entry colname="col5"/>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">4</oasis:entry>
         <oasis:entry colname="col2">1 (12.5 %)</oasis:entry>
         <oasis:entry colname="col3">2 (3.2 %)</oasis:entry>
         <oasis:entry colname="col4">3 (4.2 %)</oasis:entry>
         <oasis:entry colname="col5"/>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Diabetes</oasis:entry>
         <oasis:entry colname="col2">3 (37.5 %)</oasis:entry>
         <oasis:entry colname="col3">20 (31.7 %)</oasis:entry>
         <oasis:entry colname="col4">23 (32.4 %)</oasis:entry>
         <oasis:entry colname="col5">1.000</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Immunosuppression</oasis:entry>
         <oasis:entry colname="col2">0 (0.0 %)</oasis:entry>
         <oasis:entry colname="col3">6 (9.5 %)</oasis:entry>
         <oasis:entry colname="col4">6 (8.5 %)</oasis:entry>
         <oasis:entry colname="col5">0.189</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">COPD</oasis:entry>
         <oasis:entry colname="col2">0 (0.0 %)</oasis:entry>
         <oasis:entry colname="col3">15 (23.8 %)</oasis:entry>
         <oasis:entry colname="col4">15 (21.1 %)</oasis:entry>
         <oasis:entry colname="col5">0.105</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Positive blood cultures</oasis:entry>
         <oasis:entry colname="col2">3 (37.5 %)</oasis:entry>
         <oasis:entry colname="col3">8 (12.9 %)</oasis:entry>
         <oasis:entry colname="col4">11 (15.7 %)</oasis:entry>
         <oasis:entry colname="col5">0.19</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table><table-wrap-foot><p id="d2e1979"><sup>*</sup> DAIR (debridation antibiotic and implant retention).</p></table-wrap-foot></table-wrap>

      <p id="d2e2264">The predominance of hip PJI over knee PJI is also in line with published data and in line with clinical thought due to its proximity to the intestinal and urogenital tracts (Rodríguez-Pardo et al., 2014).</p>
      <p id="d2e2268">Regarding management strategies, the most common surgical approach was a two-stage replacement. It was followed by DAIR and the one-stage replacement. Resection arthroplasty was of more marginal utility. The overall treatment success rate was high (89 %), with two-stage replacement yielding the highest success rate at 95 % compared with DAIR standing at 81 % and the one-stage replacement at 87 %. This is consistent with the literature, which shows superior outcomes for two-stage exchange in GN PJI when compared with DAIR and the one-stage replacement (Gómez-Junyent et al., 2025).</p>
      <p id="d2e2271">The Infectious Diseases Society of America (IDSA) and the American Society for Microbiology (ASM) recommend a two-stage exchange as the standard for chronic GN PJI, with DAIR reserved for acute cases with stable implants (Anon, 2019). However, for the European standards, one stage is a valid option for selected cases. Even though the two-stage approach revealed better infection control outcomes in the present cohort, patient characteristics have not been assessed as confounders (Sousa et al., 2023).</p>
      <p id="d2e2274">Ciprofloxacin was used in 44 patients in the success group and omitted in one of eight relapsed cases in this study. That success supports the findings in previous literature that fluoroquinolones are associated with higher success rates in multi-drug-resistent gram-negative bacteria (MDR GNB) prosthetic joint infections due to their superior anti-biofilm activity and clinical outcomes with non-resistant bacteria (Gómez-Junyent et al., 2025; Hanssen et al., 2024). This aligns with the established consensus that fluoroquinolones, particularly ciprofloxacin, are the preferred oral agents for susceptible MDR GNB PJI. Their pharmacokinetic properties and biofilm penetration capacity contribute significantly to improved outcomes in device-related infections (Gómez-Junyent et al., 2025; Hanssen et al., 2024).</p>
      <p id="d2e2277">The absence of ciprofloxacin in some relapsed cases likely reflects resistance or intolerance, leaving limited oral options available when fluoroquinolone susceptibility is lost. In such scenarios, alternative agents like delafloxacin may be considered as it maintains activity against some ciprofloxacin-resistant strains. However, clinical data for delafloxacin in PJI are limited, and its role has not yet been established (Bassetti et al., 2018; Gómez-Junyent et al., 2025).</p>
      <p id="d2e2281">The data reinforce the importance of individualized therapy for resistant strains that is based on susceptibility testing and use of newer quinolones.</p>
      <p id="d2e2284">The prevalence of fluoroquinolone resistance in Europe in the context of prosthetic infections varies depending on the microorganism involved and the region in which we treat these infections. The most recent data show that resistance exceeds 20 % in key pathogens such as <italic>Escherichia coli</italic>, <italic>Klebsiella pneumoniae</italic>, and <italic>Acinetobacter</italic> spp., especially in strains associated with nosocomial and multi-drug-resistant infections (Gómez-Junyent et al., 2025; Hanssen et al., 2024).</p>
      <p id="d2e2296">Success rates were higher in females and in knee PJI, but these differences were not significant. This may reflect differences in host factors or surgical complexity, but no definitive conclusions can be drawn from our results (Martínez-Pastor et al., 2009; Tai et al., 2022).</p>
      <p id="d2e2299">In summary, this multicentre European study provides a descriptive overview of gram-negative prosthetic joint infections and is broadly consistent with previously published evidence. This study also adds a valuable multicentre perspective across different European settings, an area that remains insufficiently explored.</p>
      <p id="d2e2302">This study also has some limitations. It is a retrospective, descriptive study with an inherent selection bias. Although we standardized the diagnostic criteria following the Zimmerli et al. (2004) criteria, it is not possible to control all the potentially inherent biases in a retrospective clinical cohort study. Furthermore, the demographic and clinical characteristics of the cohort (age, comorbidity burden, and chronicity of infection) may not reflect the characteristics of other regions not studied, which limits the study's external validity. The primarily descriptive design and the absence of multivariable analysis limit the strength of causal inferences; therefore, the findings should be interpreted as exploratory. Nevertheless, the observed variability in microbiological patterns and antibiotic susceptibility across centres may have potential implications for clinical decision-making.</p>
</sec>
<sec id="Ch1.S5" sec-type="conclusions">
  <label>5</label><title>Conclusions</title>
      <p id="d2e2314">Gram-negative PJIs had a similar incidence to those in studies prior to this one. They are more frequent in the elderly; females; and patients with comorbidities like diabetes, patients who are overweight, and/or patients who have immunosuppressive pathologies. The two-stage exchange remains the most effective surgical strategy. Pathogens like <italic>E. coli</italic> seem to have lower cure rates. Ciprofloxacin remains a cornerstone of antimicrobial therapy for susceptible GN PJI. These findings support individualized treatment approaches based on patient characteristics, pathogen susceptibility, and infection chronicity.</p>
</sec>

      
      </body>
    <back><notes notes-type="dataavailability"><title>Data availability</title>

      <p id="d2e2324">No data sets were used in this article.</p>
  </notes><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d2e2330">AF, MCF, OB, and DPP contributed to the study design. EF contributed to the data analysis and manuscript drafting. All authors critically revised the paper and approved the final version for publication.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d2e2336">The contact author has declared that none of the authors has any competing interests.</p>
  </notes><notes notes-type="specialsection"><title>Ethical statement</title>
    

      <p id="d2e2344">The study was conducted according to the principles of the Declaration of Helsinki and its later amendment.</p>
  </notes><notes notes-type="disclaimer"><title>Disclaimer</title>

      <p id="d2e2350">Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. The authors bear the ultimate responsibility for providing appropriate place names. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.</p>
  </notes><ack><title>Acknowledgements</title><p id="d2e2356">The authors gratefully acknowledge Xavier Duran for his contribution to the statistical analysis and Eric L. Goode for assistance with English language editing.</p></ack><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d2e2361">This paper was edited by Parham Sendi and reviewed by two anonymous referees.</p>
  </notes><ref-list>
    <title>References</title>

      <ref id="bib1.bib1"><label>1</label><mixed-citation>Anon: American Academy of Orthopaedic Surgeons EvidenceBased Clinical Practice Guideline for Diagnosis and Prevention of Periprosthetic Joint Infections, <uri>https://www.aaos.org/pjicpg</uri> (last access: 11 March 2019), 2019.</mixed-citation></ref>
      <ref id="bib1.bib2"><label>2</label><mixed-citation>Bassetti, M., Righi, E., Pecori, D., and Tillotson, G.: Delafloxacin: An Improved Fluoroquinolone Developed through Advanced Molecular Engineering, Future Microbiol., 13, 1081–1094, <ext-link xlink:href="https://doi.org/10.2217/fmb-2018-0067" ext-link-type="DOI">10.2217/fmb-2018-0067</ext-link>, 2018.</mixed-citation></ref>
      <ref id="bib1.bib3"><label>3</label><mixed-citation>Casenaz, A., Piroth, L., Labattut, L., Sixt, T., Magallon, A., Guilloteau, A., Neuwirth, C., and Amoureux, L.: Epidemiology and antibiotic resistance of prosthetic joint infections according to time of occurrence, a 10-year study, J. Infect., 85, 492–498, <ext-link xlink:href="https://doi.org/10.1016/j.jinf.2022.07.009" ext-link-type="DOI">10.1016/j.jinf.2022.07.009</ext-link>, 2022.</mixed-citation></ref>
      <ref id="bib1.bib4"><label>4</label><mixed-citation>Chang, Y., Li, Y., Fan, T., Jiang, K., Lv, J., and Huang, J.: Pathogenic bacteria characteristics and drug resistance in acute, delayed, and chronic periprosthetic joint infection: A retrospective analysis of 202 patients, Int. Wound J., 20, 3315–3323, <ext-link xlink:href="https://doi.org/10.1111/iwj.14212" ext-link-type="DOI">10.1111/iwj.14212</ext-link>, 2023.</mixed-citation></ref>
      <ref id="bib1.bib5"><label>5</label><mixed-citation>Fantoni, M., Borrè, S., Rostagno, R., Riccio, G., Carrega, G., Giovannenze, F., and Taccari, F.: Epidemiological and clinical features of prosthetic joint infections caused by gram-negative bacteria, Eur. Rev. Med. Pharmacol. Sci., 23, 187–194, <ext-link xlink:href="https://doi.org/10.26355/eurrev_201904_17490" ext-link-type="DOI">10.26355/eurrev_201904_17490</ext-link>, 2019.</mixed-citation></ref>
      <ref id="bib1.bib6"><label>6</label><mixed-citation>Gómez-Junyent, J., Lora-Tamayo, J., Sorlí, L., and Murillo, O.: Challenges and strategies in the treatment of periprosthetic joint infection caused by multidrug-resistant Gram-negative bacteria: a narrative review, Clin. Microbiol. Infect., 31, 1458–1466, <ext-link xlink:href="https://doi.org/10.1016/j.cmi.2025.06.015" ext-link-type="DOI">10.1016/j.cmi.2025.06.015</ext-link>, 2025.</mixed-citation></ref>
      <ref id="bib1.bib7"><label>7</label><mixed-citation>Gonzalez, M. R., Gonzalez, J., Patel, R. V., Werenski, J. O., Lizcano, J. D., Gram-negative PJI Collaborative Group, and Lozano-Calderon, S. A.: Microbiology, Treatment, and Postoperative Outcomes of Gram-Negative Prosthetic Joint Infections – A Systematic Review of the Literature, J. Am. Acad. Orthop. Surg., 33, e327–e339, <ext-link xlink:href="https://doi.org/10.5435/JAAOS-D-23-01203" ext-link-type="DOI">10.5435/JAAOS-D-23-01203</ext-link>, 2025.</mixed-citation></ref>
      <ref id="bib1.bib8"><label>8</label><mixed-citation>Hanssen, J. L. J., Van Der Wal, R. J. P., Mahdad, R., Keizer, S., Delfos, N. M., Van Der Lugt, J. C. T., Veldkamp, K. E., Nolte, P. A., Leendertse, M., Gelinck, L. B. S., Mollema, F. P. N., Schippers, E. F., Wattel-Louis, H. G., Nelissen, R. G. H. H., Scheper, H., and De Boer, M. G. J.: Targeted antimicrobial regimens for Gram-negative prosthetic joint infections: a prospective multicenter study, Antimicrob. Agents Chemother., 68, e01232-24, <ext-link xlink:href="https://doi.org/10.1128/aac.01232-24" ext-link-type="DOI">10.1128/aac.01232-24</ext-link>, 2024. </mixed-citation></ref>
      <ref id="bib1.bib9"><label>9</label><mixed-citation> Hsieh, P.-H., Lee, M. S., Hsu, K.-Y., Chang, Y.-H., Shih, H.-N., and Ueng, S. W.: Gram-Negative Prosthetic Joint Infections: Risk Factors and Outcome of Treatment, Clin. Infect. Dis., 49, 1036–1043, 2009.</mixed-citation></ref>
      <ref id="bib1.bib10"><label>10</label><mixed-citation>Karczewski, D., Scholz, J., Hipfl, C., Akgün, D., Gonzalez, M. R., and Hardt, S.: Gram negative periprosthetic hip infection: nearly 25 % same pathogen infection persistence at a mean of 2 years, Arch. Orthop. Trauma Surg., 144, 5053–5059, <ext-link xlink:href="https://doi.org/10.1007/s00402-023-05104-5" ext-link-type="DOI">10.1007/s00402-023-05104-5</ext-link>, 2024.</mixed-citation></ref>
      <ref id="bib1.bib11"><label>11</label><mixed-citation>Ma, T., Lyu, J., Ma, J., Huang, X., Chen, K., Wang, S., Wei, Y., Shi, J., Xia, J., Zhao, G., and Huang, G.: Comparative analysis of pathogen distribution in patients with fracture-related infection and periprosthetic joint infection: a retrospective study, BMC Musculoskelet. Disord., 24, 123, <ext-link xlink:href="https://doi.org/10.1186/s12891-023-06210-6" ext-link-type="DOI">10.1186/s12891-023-06210-6</ext-link>, 2023.</mixed-citation></ref>
      <ref id="bib1.bib12"><label>12</label><mixed-citation>Macesic, N., Uhlemann, A.-C., and Peleg, A. Y.: Multidrug-resistant Gram-negative bacterial infections, Lancet, 405, 257–272, <ext-link xlink:href="https://doi.org/10.1016/S0140-6736(24)02081-6" ext-link-type="DOI">10.1016/S0140-6736(24)02081-6</ext-link>, 2025.</mixed-citation></ref>
      <ref id="bib1.bib13"><label>13</label><mixed-citation>Martínez-Pastor, J. C., Muñoz-Mahamud, E., Vilchez, F., García-Ramiro, S., Bori, G., Sierra, J., Martínez, J. A., Font, L., Mensa, J., and Soriano, A.: Outcome of Acute Prosthetic Joint Infections Due to Gram-Negative Bacilli Treated with Open Debridement and Retention of the Prosthesis, Antimicrob. Agents Chemother., 53, 4772–4777, <ext-link xlink:href="https://doi.org/10.1128/AAC.00188-09" ext-link-type="DOI">10.1128/AAC.00188-09</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bib14"><label>14</label><mixed-citation>Patel, R.: Periprosthetic Joint Infection, N. Engl. J. Med., 388, 251–262, <ext-link xlink:href="https://doi.org/10.1056/NEJMra2203477" ext-link-type="DOI">10.1056/NEJMra2203477</ext-link>, 2023.</mixed-citation></ref>
      <ref id="bib1.bib15"><label>15</label><mixed-citation>Rodríguez-Pardo, D., Pigrau, C., Lora-Tamayo, J., Soriano, A., Del Toro, M. D., Cobo, J., Palomino, J., Euba, G., Riera, M., Sánchez-Somolinos, M., Benito, N., Fernández-Sampedro, M., Sorli, L., Guio, L., Iribarren, J. A., Baraia-Etxaburu, J. M., Ramos, A., Bahamonde, A., Flores-Sánchez, X., Corona, P. S., and Ariza, J.: Gram-negative prosthetic joint infection: outcome of a debridement, antibiotics and implant retention approach. A large multicentre study, Clin. Microbiol. Infect., 20, O911–O919, <ext-link xlink:href="https://doi.org/10.1111/1469-0691.12649" ext-link-type="DOI">10.1111/1469-0691.12649</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bib16"><label>16</label><mixed-citation>Sadhwani, S., Kamson, A., Frear, A. J., Sadaka, N., and Urish, K. L.: Current Concepts on the Clinical and Economic Impact of Periprosthetic Joint Infections, Orthop. Clin. North Am., 55, 151–159, <ext-link xlink:href="https://doi.org/10.1016/j.ocl.2023.09.001" ext-link-type="DOI">10.1016/j.ocl.2023.09.001</ext-link>, 2024.</mixed-citation></ref>
      <ref id="bib1.bib17"><label>17</label><mixed-citation>Sousa, R., Ribau, A., Alfaro, P., Burch, M.-A., Ploegmakers, J., McNally, M., Clauss, M., Wouthuyzen-Bakker, M., and Soriano, A.: The European Bone and Joint Infection Society definition of periprosthetic joint infection is meaningful in clinical practice: a multicentric validation study with comparison with previous definitions, Acta Orthop., 94, 8–18, <ext-link xlink:href="https://doi.org/10.2340/17453674.2023.5670" ext-link-type="DOI">10.2340/17453674.2023.5670</ext-link>, 2023.</mixed-citation></ref>
      <ref id="bib1.bib18"><label>18</label><mixed-citation>Tai, D. B. G., Patel, R., Abdel, M. P., Berbari, E. F., and Tande, A. J.: Microbiology of hip and knee periprosthetic joint infections: a database study, Clin. Microbiol. Infect., 28, 255–259, <ext-link xlink:href="https://doi.org/10.1016/j.cmi.2021.06.006" ext-link-type="DOI">10.1016/j.cmi.2021.06.006</ext-link>, 2022.</mixed-citation></ref>
      <ref id="bib1.bib19"><label>19</label><mixed-citation>Zimmerli, W., Trampuz, A., and Ochsner, P. E.: Prosthetic-Joint Infections, N. Engl. J. Med., 351, 1645–1654, <ext-link xlink:href="https://doi.org/10.1056/NEJMra040181" ext-link-type="DOI">10.1056/NEJMra040181</ext-link>, 2004.</mixed-citation></ref>

  </ref-list></back>
    <!--<article-title-html>Gram-negative prosthetic joint infections: a  retrospective multicentre European study of  incidence, risk factors, and treatment outcomes</article-title-html>
<abstract-html/>
<ref-html id="bib1.bib1"><label>1</label><mixed-citation>
      
Anon: American Academy of Orthopaedic Surgeons EvidenceBased Clinical Practice Guideline for Diagnosis and Prevention of Periprosthetic Joint Infections, <a href="https://www.aaos.org/pjicpg" target="_blank"/> (last access: 11 March 2019), 2019.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib2"><label>2</label><mixed-citation>
      
Bassetti, M., Righi, E., Pecori, D., and Tillotson, G.: Delafloxacin: An
Improved Fluoroquinolone Developed through Advanced Molecular Engineering,
Future Microbiol., 13, 1081–1094, <a href="https://doi.org/10.2217/fmb-2018-0067" target="_blank">https://doi.org/10.2217/fmb-2018-0067</a>, 2018.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib3"><label>3</label><mixed-citation>
      
Casenaz, A., Piroth, L., Labattut, L., Sixt, T., Magallon, A., Guilloteau,
A., Neuwirth, C., and Amoureux, L.: Epidemiology and antibiotic resistance
of prosthetic joint infections according to time of occurrence, a 10-year
study, J. Infect., 85, 492–498, <a href="https://doi.org/10.1016/j.jinf.2022.07.009" target="_blank">https://doi.org/10.1016/j.jinf.2022.07.009</a>, 2022.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib4"><label>4</label><mixed-citation>
      
Chang, Y., Li, Y., Fan, T., Jiang, K., Lv, J., and Huang, J.: Pathogenic
bacteria characteristics and drug resistance in acute, delayed, and chronic
periprosthetic joint infection: A retrospective analysis of 202 patients,
Int. Wound J., 20, 3315–3323, <a href="https://doi.org/10.1111/iwj.14212" target="_blank">https://doi.org/10.1111/iwj.14212</a>, 2023.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib5"><label>5</label><mixed-citation>
      
Fantoni, M., Borrè, S., Rostagno, R., Riccio, G., Carrega, G., Giovannenze, F., and Taccari, F.: Epidemiological and clinical features of
prosthetic joint infections caused by gram-negative bacteria, Eur. Rev. Med.
Pharmacol. Sci., 23, 187–194, <a href="https://doi.org/10.26355/eurrev_201904_17490" target="_blank">https://doi.org/10.26355/eurrev_201904_17490</a>, 2019.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib6"><label>6</label><mixed-citation>
      
Gómez-Junyent, J., Lora-Tamayo, J., Sorlí, L., and Murillo, O.:
Challenges and strategies in the treatment of periprosthetic joint infection
caused by multidrug-resistant Gram-negative bacteria: a narrative review,
Clin. Microbiol. Infect., 31, 1458–1466, <a href="https://doi.org/10.1016/j.cmi.2025.06.015" target="_blank">https://doi.org/10.1016/j.cmi.2025.06.015</a>, 2025.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib7"><label>7</label><mixed-citation>
      
Gonzalez, M. R., Gonzalez, J., Patel, R. V., Werenski, J. O., Lizcano, J. D., Gram-negative PJI Collaborative Group, and Lozano-Calderon, S. A.: Microbiology, Treatment, and Postoperative Outcomes of Gram-Negative
Prosthetic Joint Infections – A Systematic Review of the Literature, J. Am.
Acad. Orthop. Surg., 33, e327–e339, <a href="https://doi.org/10.5435/JAAOS-D-23-01203" target="_blank">https://doi.org/10.5435/JAAOS-D-23-01203</a>, 2025.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib8"><label>8</label><mixed-citation>
      
Hanssen, J. L. J., Van Der Wal, R. J. P., Mahdad, R., Keizer, S., Delfos, N.
M., Van Der Lugt, J. C. T., Veldkamp, K. E., Nolte, P. A., Leendertse, M.,
Gelinck, L. B. S., Mollema, F. P. N., Schippers, E. F., Wattel-Louis, H. G.,
Nelissen, R. G. H. H., Scheper, H., and De Boer, M. G. J.: Targeted
antimicrobial regimens for Gram-negative prosthetic joint infections: a
prospective multicenter study, Antimicrob. Agents Chemother., 68, e01232-24,
<a href="https://doi.org/10.1128/aac.01232-24" target="_blank">https://doi.org/10.1128/aac.01232-24</a>, 2024.


    </mixed-citation></ref-html>
<ref-html id="bib1.bib9"><label>9</label><mixed-citation>
      
Hsieh, P.-H., Lee, M. S., Hsu, K.-Y., Chang, Y.-H., Shih, H.-N., and Ueng, S. W.: Gram-Negative Prosthetic Joint Infections: Risk Factors and Outcome of Treatment, Clin. Infect. Dis., 49, 1036–1043, 2009.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib10"><label>10</label><mixed-citation>
      
Karczewski, D., Scholz, J., Hipfl, C., Akgün, D., Gonzalez, M. R., and
Hardt, S.: Gram negative periprosthetic hip infection: nearly 25&thinsp;% same
pathogen infection persistence at a mean of 2 years, Arch. Orthop. Trauma
Surg., 144, 5053–5059, <a href="https://doi.org/10.1007/s00402-023-05104-5" target="_blank">https://doi.org/10.1007/s00402-023-05104-5</a>, 2024.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib11"><label>11</label><mixed-citation>
      
Ma, T., Lyu, J., Ma, J., Huang, X., Chen, K., Wang, S., Wei, Y., Shi, J., Xia, J., Zhao, G., and Huang, G.: Comparative analysis of pathogen distribution in patients with fracture-related infection and periprosthetic
joint infection: a retrospective study, BMC Musculoskelet. Disord., 24, 123,
<a href="https://doi.org/10.1186/s12891-023-06210-6" target="_blank">https://doi.org/10.1186/s12891-023-06210-6</a>, 2023.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib12"><label>12</label><mixed-citation>
      
Macesic, N., Uhlemann, A.-C., and Peleg, A. Y.: Multidrug-resistant Gram-negative bacterial infections, Lancet, 405, 257–272,
<a href="https://doi.org/10.1016/S0140-6736(24)02081-6" target="_blank">https://doi.org/10.1016/S0140-6736(24)02081-6</a>, 2025.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib13"><label>13</label><mixed-citation>
      
Martínez-Pastor, J. C., Muñoz-Mahamud, E., Vilchez, F., García-Ramiro, S., Bori, G., Sierra, J., Martínez, J. A., Font, L., Mensa, J., and Soriano, A.: Outcome of Acute Prosthetic Joint Infections Due to Gram-Negative Bacilli Treated with Open Debridement and Retention of the Prosthesis, Antimicrob. Agents Chemother., 53, 4772–4777,
<a href="https://doi.org/10.1128/AAC.00188-09" target="_blank">https://doi.org/10.1128/AAC.00188-09</a>, 2009.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib14"><label>14</label><mixed-citation>
      
Patel, R.: Periprosthetic Joint Infection, N. Engl. J. Med., 388, 251–262,
<a href="https://doi.org/10.1056/NEJMra2203477" target="_blank">https://doi.org/10.1056/NEJMra2203477</a>, 2023.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib15"><label>15</label><mixed-citation>
      
Rodríguez-Pardo, D., Pigrau, C., Lora-Tamayo, J., Soriano, A., Del Toro, M. D., Cobo, J., Palomino, J., Euba, G., Riera, M., Sánchez-Somolinos, M., Benito, N., Fernández-Sampedro, M., Sorli, L., Guio, L., Iribarren, J. A., Baraia-Etxaburu, J. M., Ramos, A., Bahamonde, A., Flores-Sánchez, X., Corona, P. S., and Ariza, J.: Gram-negative prosthetic joint infection: outcome of a debridement, antibiotics and implant retention approach. A large multicentre study, Clin. Microbiol. Infect., 20, O911–O919, <a href="https://doi.org/10.1111/1469-0691.12649" target="_blank">https://doi.org/10.1111/1469-0691.12649</a>, 2014.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib16"><label>16</label><mixed-citation>
      
Sadhwani, S., Kamson, A., Frear, A. J., Sadaka, N., and Urish, K. L.: Current Concepts on the Clinical and Economic Impact of Periprosthetic Joint Infections, Orthop. Clin. North Am., 55, 151–159, <a href="https://doi.org/10.1016/j.ocl.2023.09.001" target="_blank">https://doi.org/10.1016/j.ocl.2023.09.001</a>, 2024.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib17"><label>17</label><mixed-citation>
      
Sousa, R., Ribau, A., Alfaro, P., Burch, M.-A., Ploegmakers, J., McNally, M., Clauss, M., Wouthuyzen-Bakker, M., and Soriano, A.: The European Bone and Joint Infection Society definition of periprosthetic joint infection is meaningful in clinical practice: a multicentric validation study with
comparison with previous definitions, Acta Orthop., 94, 8–18,
<a href="https://doi.org/10.2340/17453674.2023.5670" target="_blank">https://doi.org/10.2340/17453674.2023.5670</a>, 2023.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib18"><label>18</label><mixed-citation>
      
Tai, D. B. G., Patel, R., Abdel, M. P., Berbari, E. F., and Tande, A. J.:
Microbiology of hip and knee periprosthetic joint infections: a database
study, Clin. Microbiol. Infect., 28, 255–259, <a href="https://doi.org/10.1016/j.cmi.2021.06.006" target="_blank">https://doi.org/10.1016/j.cmi.2021.06.006</a>, 2022.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib19"><label>19</label><mixed-citation>
      
Zimmerli, W., Trampuz, A., and Ochsner, P. E.: Prosthetic-Joint Infections,
N. Engl. J. Med., 351, 1645–1654, <a href="https://doi.org/10.1056/NEJMra040181" target="_blank">https://doi.org/10.1056/NEJMra040181</a>, 2004.

    </mixed-citation></ref-html>--></article>
