Next Article in Journal
Prevalence of Infections and Antimicrobial Resistance of ESKAPE Group Bacteria Isolated from Patients Admitted to the Intensive Care Unit of a County Emergency Hospital in Romania
Previous Article in Journal
Discovery of Antimicrobial Agents Based on Structural and Functional Study of the Klebsiella pneumoniae MazEF Toxin–Antitoxin System
Previous Article in Special Issue
Appropriate Duration of Antimicrobial Treatment for Prosthetic Joint Infections: A Narrative Review
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Microbiology of Prosthetic Joint Infections: A Retrospective Study of an Italian Orthopaedic Hospital

by
Virginia Suardi
1,
Daniele Baroni
2,
Abdelrahman Hosni Abdelhamid Shahein
3,
Valentina Morena
4,
Nicola Logoluso
1,
Laura Mangiavini
1,5,* and
Antonio Virgilio Pellegrini
1
1
IRCCS Ospedale Galeazzi–Sant’Ambrogio, 20157 Milan, Italy
2
Department of Orthopedics and Traumatology, Alessandro Manzoni Hospital, 23900 Lecco, Italy
3
Residency Program in Orthopaedic and Traumatology, University of Milan, 20122 Milan, Italy
4
Infectious Disease Unit, Alessandro Manzoni Hospital, 23900 Lecco, Italy
5
Department of Biomedical Sciences for Health, University of Milan, 20133 Milan, Italy
*
Author to whom correspondence should be addressed.
Antibiotics 2024, 13(5), 399; https://doi.org/10.3390/antibiotics13050399
Submission received: 5 March 2024 / Revised: 22 April 2024 / Accepted: 25 April 2024 / Published: 26 April 2024

Abstract

:
The most frequent cause of periprosthetic infections (PJIs) is intraoperative contamination; hence, antibiotic prophylaxis plays a crucial role in prevention. Modifications to standard prophylaxis can be considered if there is a high incidence of microorganisms resistant to current protocols. To date, very few studies regarding microbial etiology have been published in Italy. In this single-center, retrospective study conducted at IRCCS Ospedale Galeazzi-Sant’Ambrogio in Milan, we analyzed hip, knee, and shoulder PJIs in patients undergoing first implantation between 1 January 17 and 31 December 2021. The primary aim was to derive a local microbiological case history. The secondary aim was to evaluate the adequacy of preoperative antibiotic prophylaxis in relation to the identified bacteria. A total of 57 PJIs and 65 pathogens were identified: 16 S. aureus, 15 S. epidermidis, and 10 other coagulase-negative staphylococci (CoNS), which accounted for 63% of the isolations. A total of 86.7% of S. epidermidis were methicillin-resistant (MRSE). In line with other case reports, we found a predominance of staphylococcal infections, with a lower percentage of MRSA than the Italian average, while we found a high percentage of MRSE. We estimated that 44.6% of the bacteria isolated were resistant to cefazolin, our standard prophylaxis. These PJIs could be prevented by using glycopeptide alone or in combination with cefazolin, but the literature reports conflicting results regarding the adequacy of such prophylaxis. In conclusion, our study showed that in our local hospital, our standard antibiotic prophylaxis is ineffective for almost half of the cases, highlighting the importance of defining specific antibiotic guidelines based on the local bacterial prevalence of each institution.

1. Introduction

Periprosthetic joint infections (PJIs) represent a severe surgical complication that causes significant morbidity and mortality in patients, as well as high social costs.
Prophylactic administration and scheduling of antibiotics preoperatively and the use of laminar air flow during surgery are some of the measures used to lower the incidence of PJIs [1,2,3]. In addition to the above, many other factors are being investigated to reduce the risk of infection: patient preparation (pre-operative antiseptic wash, trichotomy, optimization of glycaemia in diabetic patients), limiting traffic in the operating theatre, and the use of adhesive drapes or pulsed washing devices. Nevertheless, the incidence of PJI after primary total hip arthroplasty (THA) ranges from 0.9% to 2.0%, and all-cause mortality related to PJI has been reported to be 5% after 1 year and 20% after 5 years [4]. Significant healthcare costs are connected with PJI, as are the short-term burdens of prolonged sick leave, repeated surgery, and pain [5].
Since there is currently no single test that can diagnose PJI with 100% accuracy, a combination of imaging, microbiological and histological tests, serum and synovial fluid indicators, and clinical evaluation is needed to make the diagnosis. Furthermore, even the most modern and sophisticated scores may come back as “inconclusive” due to the vast range of clinical presentations that periprosthetic joint infections may show, from acute, high-grade to subclinical, low-grade.
Although, to date, many diagnostic criteria have been proposed, the ones from the 2018 International Consensus Meeting of Philadelphia [6] are widely used, as well as at our institution.
The choice of treatment must be personalized for each individual patient and depends on different factors. In addition to the virulence and resistance profile of pathogens (when known) and the timing of the onset of PJI, patient-related factors must also be considered, including bone stock, soft tissue quality, eligibility for one or more surgical procedures [7], and eligibility for prolonged antibiotic therapies. If surgery is not an option, long-term suppressive antibiotic therapy is a possibility.
The current surgical treatment consists of one or two phases of revision arthroplasty, which is typically reserved for chronic stages, while “debridement, antibiotics, and implant retention" (DAIR) is traditionally performed early after the development of symptoms. Furthermore, in extreme circumstances, arthrodesis, amputation (knee), resection arthroplasty (hip), and definitive articulating antibiotic spacer (shoulder) may be carried out [8].
This difference is explained by biofilm formation in the case of the foreign body [9,10]: complex populations of microorganisms embedded in an extracellular matrix that develop on surfaces. Microorganisms can live in free form or in a consortium of different or the same species, called biofilm. Biofilm is an ordered and arranged group of microorganisms living within an extracellular polymeric substance matrix, produced by them, and showing variation in terms of growth rate and gene expression when compared to their planktonic form [11]. Biofilms have a heterogeneous structure composed mainly of microbial cells (10–25%) and extracellular matrix (75–90%), which contains water, polysaccharides, proteins, DNA, and RNA [12]. Most of the polysaccharides are heterogeneous, while some are homogeneous, as are cellulose, sucrose-derived fructans, and glucans [13]. The barrier function of this biofilm environment reduces the effectiveness of antimicrobials and host defenses. In addition, pathogens buried deep within the biofilm have a typically slow metabolic rate that makes accurate culture identification more complex, requiring procedures such as sonication, longer culture times, and enrichment of breeding grounds. Different microorganisms may show different interactions with the extracellular matrix. It has been demonstrated that surfactants and modulins play a role in staphylococcal biofilm maturation [14]. Mature biofilm may rupture actively (motility and extracellular matrix degradation-dependent dispersion). The main factors responsible for the dispersion of mature biofilm include an outgrown population, intense competition, a lack of nutrients [15], enzyme action that causes alginate digestion in Pseudomonas spp. [16], variations in environmental conditions, as well as up/downregulation of genes promoting motility [17]. Pseudomonas aeruginosa, S. aureus, and S. epidermis together account for over 75% of the biofilms present in medical equipment. S. epidermis and S. aureus are the most prevalent bacteria that create biofilms.
Due to the complexity of these diseases, the creation of a multidisciplinary team for the management of PJIs, including orthopaedic surgeons, infectious disease specialists, clinical microbiologists, and pharmacologists, can represent an added value to improving the clinical outcome in this scenario [18]. In addition, radiologists, nuclear medicine specialists, and other surgeons, especially the plastic surgeon, can also play a key role in selected cases.
Microorganisms introduced during surgery account for the majority of PJIs that arise within a year after surgery. The prosthesis or periprosthetic tissue may become contaminated either directly or by aerosolized means. Microorganisms populate the implant’s surface once they come into contact with it. The minimal inoculum of microorganisms required to cause infection in the presence of the prosthetic material is a crucial component in this process [5]. In a rabbit model after hip hemiarthroplasty, for instance, < 102 CFU of S. aureus are required to develop infection, as opposed to 104 CFU in the absence of an implant [19].
These infections may also present after several years from the primary surgery due to haematogenous seeding, but the main cause is usually direct contamination during the implantation. Hence, prevention is mandatory in order to reduce the risk of infection during surgery. In 2021, the Italian Society of Orthopaedics and Traumatology (SIOT) released its latest guidelines regarding PJI prevention. As it concerns antimicrobial preoperative prophylaxis, SIOT reports that, because of the relatively low incidence of PJI, comparative studies hardly reach a sufficient number of patients to surely demonstrate the superiority of a defined antimicrobial drug. The antimicrobial choice is mainly based on the presumption of colonization and on the pathogens commonly reported in that type of surgery [20]. First- and second-generation cephalosporins have their own bactericidal activity on gram+ and some gram- bacilli, as well as good penetration into bone, synovial tissues, and muscular tissues with low systemic toxicity. Cefazolin, the most studied and tested in clinical studies [20], represents the recommended prophylaxis in other guidelines [21].
According to SIOT guidelines, different standard prophylaxis could be considered in cases of documented high local prevalence of bacteria resistant to standard protocols. Similarly, according to American Academy of Orthopaedic Surgeons (AAOS) guidelines [21], antibiotic selection should reflect the antibiogram of the individual institution, the individual risk factors of the patient, and the multidisciplinary support of institutional infection control experts.
Resistance patterns are different among regions and geographical areas. For instance, according to the 2017 European Centre of Disease Control (ECDC) report, in Italy, there is a high incidence of methicillin-resistant bacteria [22], and in general, the presence of methicillin resistance among isolated S. aureus in many Mediterranean countries is far greater than in those isolated in Scandinavian countries. So, the microbiological reports of periprosthetic infections in other European countries are not automatically applicable to the Italian territory due to differences in their microbiological environments. Reliable national and local data are therefore needed to optimize protocols for preoperative prophylaxis. To date, with regard to Italian microbiological reports, very few studies have been published [23].
Knowing the local microbiology of the hospital and/or of the geographical area can be useful in guiding the choice of empiric antibiotic therapy as well as in the choice of preoperative antibiotic prophylaxis.
The main purpose of our study was to produce a local microbiological report, analyzing cases of early or delayed periprosthetic joint infection of total hip, knee, and shoulder arthroplasty procedures performed at IRCCS Ospedale Galeazzi–Sant’Ambrogio. The secondary purpose was to evaluate the adequacy of preoperative antibiotic prophylaxis in relation to the antibiotic susceptibility profiles of the identified microorganisms.

2. Results

A total of 182 patients were found in both the surgical records: a list of 17,256 primary hip, knee, and shoulder arthroplasties and another list of 1294 surgical procedures for prothesis-related complications.
After applying the selection criteria and collecting data, we identified 57 cases of PJI in 57 patients. The median age of patients was 70 years (interquartile range of 61–78 years). Infections involved the hip in 26 cases, the knee in 23 cases, and the shoulder in 8 cases.
The onset of the infection was early in 27 cases and delayed in 30.
A total of 65 pathogens were identified, with 33 in early-onset cases and 32 in delayed-onset cases, and with 58 in hip and knee cases (grouped together) and 7 in shoulder cases. In 10 cases (17.5%) of confirmed periprosthetic infections, cultures were negative.
Polymicrobial flora was identified in 14 (24.5%) cases, of which 9 had early onset and 5 had delayed onset. Hence, in our case studies, polymicrobial infections represent 33.3% of early infections and 16.7% of delayed infections. In detail, as follows:
Early polymicrobial:
  • MSSA (Methicillin-susceptible Staphylococcus aureus) + Enterococcus faecalis
  • MSSA + Enterococcus faecalis
  • MRSE (Methicillin-resistant Staphylococcus epidermidis) + Finegoldia magna
  • MRSE + Finegoldia magna
  • MRSE + MSSE (Methicillin-susceptible Staphylococcus epidermidis)
  • MRSE + S. warneri
  • MRSE + S. lugdunensis
  • Streptococcus mitis + Cutibacterium acnes
  • Corynebacterium amycolatum + Corynebacterium jeikeium + Morganella morganii
Delayed polymicrobial:
  • MRSE + Cutibacterium acnes
  • MRSA (Methicillin-resistant Staphylococcus aureus) + Staphylococcus saprophyticus
  • MSSA + MRSE
  • MRSE + Staphylococcus lugdunensis
  • MSSA + Staphylococcus capitis
Table 1 shows the bacteria that were found, divided by onset and involved joint. Globally, in the 57 patients included in the study, we identified 16 S. aureus, 15 S. epidermidis, and 10 other Coagulase-negative Staphylococci (CoNS), which together accounted for 63% of the isolated bacteria. Among the remaining gram+ bacteria, we identified 4 Streptococcus spp., 3 Corynebacterium spp., 3 Enterococcus faecalis, 5 Cutibacterium acnes, and 2 Finegoldia magna. Among the 7 gram- microorganisms (10.8%), there are 2 Enterobacter cloacae, 2 Proteus mirabilis, 1 Escherichia coli, 1 Pseudomonas aeruginosa, and 1 Morganella morganii.
In the following diagrams (Figure 1, Figure 2 and Figure 3), the prevalence rates of bacteria isolated in cases of periprosthetic hip and knee vs. shoulder infection and the cumulative number of bacteria in early vs. delayed PJI are reported.
In detail (Table 2), for Staphylococcus spp., we show the number of bacteria resistant to tested antimicrobial drugs, as well as cefazolin (resistance inferred from oxacillin).
In our series, the prevalence of methicillin resistance was 18.8% for S. aureus, while a high frequency was found among S. epidermidis (86.7%). These MRSEs also showed high frequencies of resistance to levofloxacin (9/15), tetracycline (9/15), gentamicin (7/15), cotrimoxazole (5/15), and clindamycin (8/15).

3. Discussion

Periprosthetic joint infections represent a serious complication with significant morbidity and mortality. The correct identification of the pathogen and the appropriateness of antibiotic therapy are two key elements in the treatment of PJI. Knowing the local microbiology of the hospital and/or the geographical area can be useful in guiding the choice of empiric antibiotic therapy as well as in the choice of preoperative antibiotic prophylaxis. The main purpose of our study was to produce a local microbiological report, analyzing cases of early or delayed periprosthetic joint infection regarding total hip, knee, and shoulder arthroplasty procedures performed at IRCCS. The secondary purpose was to evaluate the adequacy of preoperative antibiotic prophylaxis in relation to the antibiotic susceptibility profiles of the identified microorganisms. In the literature, there is a substantial paucity of microbiological data concerning Italian case series. In a study [25] conducted at IRCCS, published in 2017, Drago et al. reported a series of 429 patients with late hip or knee PJI, of whom only 30% had undergone their first arthroplasty procedure at IRCCS.
The authors reported a prevalence of staphylococci in 66.6% of cases. Among the 341 isolated staphylococci cases, they stated a prevalence of methicillin resistance in the hip and knee of 23.3–21.7% for S. aureus, 68.9–64.4% for S. epidermidis, and 41.8–29.2% among non-epidermidis CoNS. In our series, we found a percentage of MRSA of 18.8% and a percentage of MRSE of 87.6%; among CoNS, however, methicillin resistance was present globally in 30%, or more specifically in 2/4 S. lugdunensis and 1/1 S. warneri. In another Italian study published in 2011, concerning infections associated with orthopaedic implants [26], Montanaro et al. conducted a large study on a collection of 1027 isolates obtained in the period between 2000 and 2003 from 699 orthopaedic patients bearing infections and reported a staphylococci frequency of 78.1% (S. aureus 31.7%, S. epidermidis 39.0%). Carrega et al. [27] reported in 2008 the microbiological diagnoses of 141 patients with early, delayed, or late periprosthetic infection. During the 35-month study period, 228 patients with prosthetic joint infections were retrospectively evaluated. The etiology of the infection was established by means of cultures performed during surgical revision of the infected prosthesis, sterile needle aspirates, or swabs (3 samples) taken deeply in the fistulous tract. Isolated bacteria were 73% staphylococci, 11% gram+, and 16% gram−. They also reported 16% polymicrobial infections.
Mussa et al. [23] performed a retrospective study at a single center with records of patients treated for primary PJIs of the knee or hip from 2011 to 2018. Infections were diagnosed according to IDSA and MSIS criteria, and all patients underwent blood cultures, synovial fluid cultures, periarticular biopsies, and prosthesis sonication. The authors analyzed microbiological data from 51 PJIs with different onsets and related to different joints. In their series, S. aureus accounted for 27.5%, other CoNS for 13.7%, and, in 33% of cases, negative cultures were reported. In addition, the MRSA rate was 28%. In 2017, in the annual survey on antibiotic resistance [28], the ECDC reported an MRSA rate of 33.9% among S. aureus isolated in Italy, compared to a European average of 16.9%. The percentage of MRSA in our series (18.8%) is very similar to the European one, rather than the Italian percentage. Regarding periprosthetic shoulder infections, our series (7 cases) does not allow us to draw conclusions, but the percentage of C. acnes was 43%, a value not far from the 38.9% reported by Nelson et al. [29] in a systematic review including 324 patients from 16 studies. In our study, 63% of the bacterial isolates are different types of staphylococci, similarly to the study by Drago et al. and apparently inferior to the results of other Italian studies. The most interesting finding is a very high percentage of MRSE, 86.7%, among the S. epidermidis. In addition, these S. epidermidis showed high rates of resistance to levofloxacin, tetracycline, gentamicin, cotrimoxazole, and clindamycin, many of which represent antibiotics commonly used in the treatment of PJI. This association of resistance between different antibiotics has already been described in the literature [30,31,32,33]. Mussa et al. reported [23] a high frequency of resistance to fluoroquinolones, tetracyclines, and cotrimoxazole among CoNS. Fluoroquinolones, tetracyclines, and cotrimoxazole are oral antibiotics known to have good penetration into bone tissue [34]. Gentamycin is commonly contained in or added to cements used both to stabilize implants and as a material for antibiotic-loaded spacers in two-stage procedures. Clindamycin, instead, is frequently used for preoperative prophylaxis as an alternative to cefazolin in patients with a reported allergy to beta-lactams. Rifampicin, on the other hand, well known for its anti-biofilm properties [35], was potentially ineffective only in 1 isolate of S. aureus and 3 of S. epidermidis. In light of our results, the only antibiotics to which no isolated bacteria were resistant were vancomycin, teicoplanin, and linezolid. On the other hand, daptomycin, also a known therapeutic option for periprosthetic infections, was ineffective in only two strains of S. epidermidis. In staphylococci, including coagulase-negative, the expression of an additional penicillin-binding protein (PBP2a) leads to complete resistance to beta-lactams, i.e., penicillins, cephalosporins, and carbapenems, with the only exception represented by the most recent cephalosporins with anti-MRSA activity, namely ceftaroline and ceftobiprole. The expression of this PBP2a is associated with the presence of the mecA gene [31], found in 85% of the S. epidermidis of that series. At our institution, the standard preoperative prophylaxis is cefazolin 2 g ev 30 minutes before the incision. Alternatives, in cases of a reported allergy to beta-lactams, are clindamycin 600–900 mg and vancomycin 1 g. Since resistance to oxacillin (used to define methicillin-resistant staphylococcal strains) also confers resistance to cefazolin, this antibiotic may be ineffective in preventing infections acquired in the operating room in case of contamination with methicillin-resistant bacteria [36]. In addition, resistance to cefazolin was also assumed for Streptococci, from resistance to penicillin [37], with therefore only one resistant Streptococcus (S. mitis).
In addition, all E. faecalis, E. cloacae, P. aeruginosa, and M. morganii are intrinsically resistant to cefazolin. Also, E. coli, which may be potentially sensitive to cefazolin, was resistant to this antibiotic as a producer of extended-spectrum beta-lactamase (ESBL+). Ultimately, we can conclude that at least 29 of the 65 isolated bacteria, or 44.6%, were resistant to our standard antibiotic prophylaxis. These infections could potentially be prevented by using vancomycin or teicoplanin as preoperative prophylaxis [36], but with the disadvantage that these antibiotics, when used alone, do not prevent the infection caused by some gram− bacteria, such as E. coli, P. mirabilis, and other Enterobacteriaceae. Another alternative would consist of a double antibiotic prophylaxis with cefazolin and vancomycin or teicoplanin, but the literature reports conflicting results [38,39]. In addition, double prophylaxis with double antibiotics (vancomycin and beta-lactam) has been associated with a possible occurrence of acute renal failure and C. difficile infections compared to prophylaxis with a single antibiotic in cardiac surgery [40], but not in other specialties, orthopaedics included. Among the gram- bacteria present in our series, the only antibiotics that have never been associated with resistance were amikacin and meropenem. However, given the small number of cases, we cannot draw any definitive conclusion on their efficacy in prophylaxis.
Our study has potential biases. First of all, in view of the method used to derive the case studies, it is not possible to calculate the incidence of periprosthetic infections. In consideration of the inclusion criteria, we may have wrongly included patients or microorganisms because of false positive cultures, but it is likely that the number of cases and pathogens included in the study is underestimated due to the following possible biases:
  • false negative cultures
  • diagnostic delays
  • treatment delays
  • patients undergoing surgery close to the time limits of the study (PJIs occurring on prostheses implanted before 2017 and possible PJIs manifested in 2022)
  • incorrect/different ICD-9 encoding in surgery records
  • PJIs treated in other hospitals
  • possible deaths due to PJI

4. Materials and Methods

4.1. Setting

This paper presents a single-center, retrospective observational study concerning cases of periprosthetic infection of the hip, knee, and shoulder, early and delayed onset, in patients who underwent first prosthetic implantation at the IRCCS Ospedale Galeazzi-Sant’Ambrogio (Italy). Our institute is an orthopaedic hospital where over 3500 arthroplasty procedures are performed by different orthopaedic teams every year.
At our institution, the standard preoperative prophylaxis is cefazolin 2 g ev 30 min before the incision. Alternatives, in cases of a reported allergy to beta-lactams, are clindamycin 600–900 mg and vancomycin 1 g.

4.2. Selection Criteria

Inclusion criteria were:
  • Patients who underwent both
  • hip, knee, or shoulder arthroplasty
  • a second surgical procedure for diagnosed or suspected PJI or other prosthetic joint-related complications where intraoperative cultures were collected
2.
Both procedures were performed at the Galeazzi Orthopaedic Institute
3.
Both procedures were performed between 01/01/17 and 31/12/21
To identify the cases that could potentially be included, we obtained two lists of surgical records from the software for the compilation and archiving of surgical acts in use at IRCCS Ospedale Galeazzi-Sant’Ambrogio(HDocs–SB Italia, Garbagnate Milanese, Italy), regarding:
(1)
hip, knee, or shoulder arthroplasty (ICD-9 81.51, 81.54, 81.80)
(2)
Any surgery related to the diagnosis of infection or other complications related to joint replacements (ICD-9 966.66, 966.67, 966.77)
Then, we cross-checked the lists to identify the patients present in both lists, and we examined the medical records of the identified patients to apply the following exclusion criteria:
  • Revision surgeries not related to PJI (e.g., aseptic loosening confirmed by negative intraoperative cultures)
  • PJI occurring more than 1 year after the index surgery
  • Patients undergoing the two surgical procedures at different joints
  • For the purposes of our study, we have classified PJI by onset, as follows:
  • Early: less than 4 weeks from surgery
  • Delayed: between 4 weeks and 1 year
  • Late: more than 1 year (excluded from the study)
We decided to divide between early and delayed PJI following the Tsukayama classification [41], as timing is crucial to performing the DAIR (Debridment, Antibiotics, and Implant Retention) procedure. Moreover, with regard to the threshold between delayed and late infections, we have chosen to set it at 1 year instead of 2, with the aim of increasing the chances that the isolated pathogens were actually acquired during the intervention or during the hospital stay.

4.3. Microbiological Testing

For each patient included, we considered pathogens isolated from intraoperative samples and preoperative arthrocentesis.
Intraoperative samples included osteoarticular fragments, synovial membranes, and soft tissue biopsies collected during surgery. In addition, preoperative arthrocentesis cultures were also considered. Wound swabs were not included since they are not reliable samples due to the high contamination rate from the skin microflora.
Microbiological testing was performed according to standard procedures at our institution. Before culture, samples were treated with 0.1% w:v Dithiothreitol to free pathogens from the biofilm.
Implants and periprosthetic tissues were treated with a 0.1% Dithiothreitol solution, as previously described [42,43]. Briefly, DTT solution was added to each sample to fully cover the entire surface of the sample. After agitation for 15 min at room temperature, DTT eluate was collected in sterile tubes and centrifuged at 2800× g 10 min. Then supernatant in excess was discharged, and the pellet was resuspended in a small volume of supernatant. Aliquots of bacterial suspension were finally seeded onto Chocolate agar, MacConkey agar, Mannitol salt agar, and Sabouraud agar and inoculated into Brain Heart Infusion broth and Thyoglycollate broth. Plates and broths were incubated for 48 h and 15 days at 37 °C in proper conditions, respectively. Broths were daily checked for microbial growth, and in the case of turbidity, an aliquot was plated on Blood agar and Schaedler agar to support the growth of aerobes and anaerobes, respectively. Aliquots from the Brain Heart infusion broth showing turbidity were plated on Blood agar, and those from the Thioglycolate broth were plated on Schaedler agar.
Microbial identification and antimicrobial susceptibility testing were carried out on a Vitek2 system.

4.4. Pathogens and Resistance Profiles

When applicable, for each identified bacterium species, we inferred susceptibility to cefazolin using the “EUCAST 2022 Breakpoint tables” [37] and the “Sanford guide to antimicrobial therapy” (51st edition, year 2021) [44] with the support of an infectious disease specialist. In detail, resistance to cefazolin was inferred from:
-
resistance to oxacilline in Staphilococcus spp.
-
resistance to penicillin in Streptoccus spp.
-
resistance to cefotaxime in E. coli and P. mirabilis
E. faecalis, E. cloacae, P. aeruginosa, and M. morganii are intrinsically resistant to cefazolin.

5. Conclusions

Our study reports an Italian single-center microbiological series regarding early and delayed PJI, therefore probably acquired during the surgical procedure or hospital stay. Despite the possible biases, we found:
-
a predominance of staphylococcal infections and, in general, a predominance of gram+ over gram−
-
a percentage of MRSA lower than the Italian average and similar to the European one
-
a high percentage of MRSEs, which exhibit high rates of resistance to other classes of antibiotics, as already highlighted in the literature
It is very important to know the local microbiology and resistance patterns. We believe that our case series provides a good representation of the bacterial flora present in our institute, and we have estimated that at least 44.6% of the isolated bacteria were resistant to our standard preoperative antibiotic prophylaxis. Nevertheless, evidence on the potential efficacy of glycopeptides in preoperative prophylaxis is still lacking, so for now we can reserve their use in patients with a history of colonization/infection by MRSA or related risk factors. In conclusion, although SIOT guidelines state that it is possible to change the standard prophylaxis in consideration of particular local microbiological conditions, a threshold for which this change would be effective in reducing the rate of infections remains to be defined. It is our opinion that further studies with a prospective randomized control design with the aim of comparing standard cefazolin with other preoperative prophylaxis, given an already known local microbiological situation, could show the superiority of other antibiotics compared to cefazolin as the prevalence of cefazolin-resistant bacteria increases. In this scenario, it would be possible to define specific antibiotic preoperative prophylaxis protocols based on the local bacterial prevalence of each institution.

Author Contributions

Conceptualization, A.V.P., V.S., D.B. and L.M.; methodology, V.S., D.B. and A.H.A.S.; software, V.S., D.B. and A.H.A.S.; validation, A.V.P. and L.M.; formal analysis, V.S., D.B., V.M., N.L. and A.H.A.S.; investigation, V.S., D.B. and A.H.A.S.; resources, A.V.P. and L.M.; data curation, A.V.P. and L.M.; writing—original draft preparation, V.S., D.B. and A.H.A.S.; writing—review and editing, A.V.P. and L.M.; visualization, A.V.P. and L.M.; supervision, A.V.P. and L.M.; project administration, A.V.P. and L.M.; funding acquisition, A.V.P. and L.M. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Italian Ministry of Health—“Ricerca Corrente”, grant number L2055.

Institutional Review Board Statement

Ethical review and approval were waived for this study due to the retrospective nature of the study.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Data are available at the following link: URL https://osf.io/4nfxh/?view_only=33ef847b962a4282bd4273f502b15535 (accessed on 5 March 2024).

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Aboltins, C.A.; Berdal, J.E.; Casas, F.; Corona, P.S.; Cuellar, D.; Ferrari, M.C.; Hendershot, E.; Huang, W.; Kuo, F.C.; Malkani, A.; et al. Hip and Knee Section, Prevention, Antimicrobials (Systemic): Proceedings of International Consensus on Orthopedic Infections. J. Arthroplasty 2019, 34, S279–S288. [Google Scholar] [CrossRef]
  2. Engesæter, L.B.; Lie, S.A.; Espehaug, B.; Furnes, O.; Vollset, S.E.; Havelin, L.I. Antibiotic Prophylaxis in Total Hip Arthroplasty: Effects of Antibiotic Prophylaxis Systemically and in Bone Cement on the Revision Rate of 22,170 Primary Hip Replacements Followed 0-14 Years in the Norwegian Arthroplasty Register. Acta Orthop. Scand. 2003, 74, 644–651. [Google Scholar] [CrossRef]
  3. Steinberg, J.P.; Braun, B.I.; Hellinger, W.C.; Kusek, L.; Bozikis, M.R.; Bush, A.J.; Dellinger, E.P.; Burke, J.P.; Simmons, B.; Kritchevsky, S.B.; et al. Timing of Antimicrobial Prophylaxis and the Risk of Surgical Site Infections: Results from the Trial to Reduce Antimicrobial Prophylaxis Errors. Ann. Surg. 2009, 250, 10–16. [Google Scholar] [CrossRef]
  4. Natsuhara, K.M.; Shelton, T.J.; Meehan, J.P.; Lum, Z.C. Mortality during Total Hip Periprosthetic Joint Infection. J. Arthroplasty 2019, 34, S337–S342. [Google Scholar] [CrossRef]
  5. Tande, A.J.; Patel, R. Prosthetic Joint Infection. Clin. Microbiol. Rev. 2014, 27, 302–345. [Google Scholar] [CrossRef]
  6. Parvizi, J.; Tan, T.L.; Goswami, K.; Higuera, C.; Della Valle, C.; Chen, A.F.; Shohat, N. The 2018 Definition of Periprosthetic Hip and Knee Infection: An Evidence-Based and Validated Criteria. J. Arthroplasty 2018, 33, 1309–1314.e2. [Google Scholar] [CrossRef]
  7. Sia, I.G.; Berbari, E.F.; Karchmer, A.W. Prosthetic Joint Infections. Infect. Dis. Clin. N. Am. 2005, 19, 885–914. [Google Scholar] [CrossRef]
  8. Pellegrini, A.; Suardi, V.; Legnani, C. Classification and Management Options for Prosthetic Joint Infection. Ann. Jt. 2022, 7. [Google Scholar] [CrossRef]
  9. Zimmerli, W.; Lew, P.D.; Waldvogel, F.A. Pathogenesis of Foreign Body Infection. Evidence for a Local Granulocyte Defect. J. Clin. Investig. 1984, 73, 1191–1200. [Google Scholar] [CrossRef]
  10. Zimmerli, W.; Waldvoge, F.A.; Vaudaux, P.; Nydegger, D.E. Pathogenesis of Foreign Body Infection: Description and Characteristics of an Animal Model. J. Infect. Dis. 1982, 146, 487–497. [Google Scholar] [CrossRef]
  11. Gupta, P.; Sarkar, S.; Das, B.; Bhattacharjee, S.; Tribedi, P. Biofilm, Pathogenesis and Prevention—A Journey to Break the Wall: A Review. Arch. Microbiol. 2016, 198, 1–15. [Google Scholar] [CrossRef]
  12. Lu, T.K.; Collins, J.J. Dispersing Biofilms with Engineered Enzymatic Bacteriophage. Proc. Natl. Acad. Sci. USA 2007, 104, 11197–11202. [Google Scholar] [CrossRef]
  13. Flemming, H.C.; Wingender, J. The Biofilm Matrix. Nat. Rev. Microbiol. 2010, 8, 623–633. [Google Scholar] [CrossRef]
  14. Otto, M. Staphylococcal Infections: Mechanisms of Biofilm Maturation and Detachment as Critical Determinants of Pathogenicity. Annu. Rev. Med. 2013, 64, 175–188. [Google Scholar] [CrossRef]
  15. Rabin, N.; Zheng, Y.; Opoku-Temeng, C.; Du, Y.; Bonsu, E.; Sintim, H.O. Biofilm Formation Mechanisms and Targets for Developing Antibiofilm Agents. Future Med. Chem. 2015, 7, 493–512. [Google Scholar] [CrossRef]
  16. Costerton, J.W.; Stewart, P.S.; Greenberg, E.P. Bacterial Biofilms: A Common Cause of Persistent Infections. Science 1999, 284, 1318–1322. [Google Scholar] [CrossRef]
  17. McDougald, D.; Rice, S.A.; Barraud, N.; Steinberg, P.D.; Kjelleberg, S. Should We Stay or Should We Go: Mechanisms and Ecological Consequences for Biofilm Dispersal. Nat. Rev. Microbiol. 2011, 10, 39–50. [Google Scholar] [CrossRef]
  18. Sambri, A.; Fiore, M.; Tedeschi, S.; De Paolis, M. The Need for Multidisciplinarity in Modern Medicine: An Insight into Orthopaedic Infections. Microorganisms 2022, 10, 756. [Google Scholar] [CrossRef]
  19. Southwood, R.T.; Rice, J.L.; McDonald, P.J.; Hakendorf, P.H.; Rozenbilds, M.A. Infection in Experimental Hip Arthroplasties. J. Bone Joint Surg. Br. 1985, 67, 229–231. [Google Scholar] [CrossRef]
  20. Linea Guida SIOT: Prevenzione Delle Infezioni in Chirurgia Ortopedica. 2021. Available online: https://siot.it/wp-content/uploads/2021/06/LG-366-SIOT-Prevenzione-delle-infezioni-in-chirurgia-ortopedica.pdf (accessed on 4 March 2024).
  21. Diagnosis and Prevention of Periprosthetic Joint Infections Evidence-Based Clinical Practice Guideline. Available online: https://www.aaos.org/globalassets/quality-and-practice-resources/pji/pji-clinical-practice-guideline-final-2-17-21.pdf (accessed on 11 April 2024).
  22. ECDC. Antimicrobial Resistance Surveillance in Europe 2016. 2017. Available online: https://www.ecdc.europa.eu/en/publications-data/antimicrobial-resistance-surveillance-europe-2016 (accessed on 11 April 2024).
  23. Mussa, M.; Manciulli, T.; Corbella, M.; Mariani, B.; Cambieri, P.; Gipsz, N.; Scudeller, L.; Abbott, D.M.; Brunetti, E.; Mosconi, M.; et al. Epidemiology and Microbiology of Prosthetic Joint Infections: A Nine-Year, Single-Center Experience in Pavia, Northern Italy. Musculoskelet. Surg. 2021, 105, 195–200. [Google Scholar] [CrossRef]
  24. Thabit, A.K.; Fatani, D.F.; Bamakhrama, M.S.; Barnawi, O.A.; Basudan, L.O.; Alhejaili, S.F. Antibiotic Penetration into Bone and Joints: An Updated Review. Int. J. Infect. Dis. 2019, 81, 128–136. [Google Scholar] [CrossRef]
  25. Drago, L.; de Vecchi, E.; Bortolin, M.; Zagra, L.; Romanò, C.L.; Cappelletti, L. Epidemiology and Antibiotic Resistance of Late Prosthetic Knee and Hip Infections. J. Arthroplasty 2017, 32, 2496–2500. [Google Scholar] [CrossRef]
  26. Montanaro, L.; Speziale, P.; Campoccia, D.; Ravaioli, S.; Cangini, I.; Pietrocola, G.; Giannini, S.; Arciola, C.R. Scenery of Staphylococcus Implant Infections in Orthopedics. Future Microbiol. 2011, 6, 1329–1349. [Google Scholar] [CrossRef]
  27. Carrega, G.; Bartolacci, V.; Burastero, G.; Casalino-Finocchio, G.; Grappiolo, G.; Salomone, C.; Sandrone, C.; Santoriello, L.; Riccio, G. Etiology of Prosthetic Joint Infections in a Tertiary Care Centre in Italy. Infez. Med. 2008, 16, 204–208. [Google Scholar]
  28. ECDC. Antimicrobial Resistance Surveillance in Europe 2017. Available online: https://www.ecdc.europa.eu/en/publications-data/surveillance-antimicrobial-resistance-europe-2017 (accessed on 11 April 2024).
  29. Nelson, G.N.; Davis, D.E.; Namdari, S. Outcomes in the Treatment of Periprosthetic Joint Infection after Shoulder Arthroplasty: A Systematic Review. J. Shoulder Elbow Surg. 2016, 25, 1337–1345. [Google Scholar] [CrossRef]
  30. Drago, L.; de Vecchi, E.; Cappelletti, L.; Mattina, R.; Vassena, C.; Romanò, C.L. Role and Antimicrobial Resistance of Staphylococci Involved in Prosthetic Joint Infections. Int. J. Artif. Organs 2014, 37, 414–421. [Google Scholar] [CrossRef]
  31. Hellmark, B.; Unemo, M.; Nilsdotter-augustinsson, Å.; Söderquist, B. Antibiotic Susceptibility among Staphylococcus Epidermidis Isolated from Prosthetic Joint Infections with Special Focus on Rifampicin and Variability of the RpoB Gene. Clin. Microbiol. Infect. 2009, 15, 238–244. [Google Scholar] [CrossRef]
  32. Zhanel, G.G.; Adam, H.J.; Baxter, M.R.; Fuller, J.; Nichol, K.A.; Denisuik, A.J.; Lagacé-Wiens, P.R.S.; Walkty, A.; Karlowsky, J.A.; Schweizer, F.; et al. Antimicrobial Susceptibility of 22746 Pathogens from Canadian Hospitals: Results of the CANWARD 2007-11 Study. J. Antimicrob. Chemother. 2013, 68 (Suppl. S1), i7–i22. [Google Scholar] [CrossRef]
  33. Becker, K.; Heilmann, C.; Peters, G. Coagulase-Negative Staphylococci. Clin. Microbiol. Rev. 2014, 27, 870–926. [Google Scholar] [CrossRef]
  34. Landersdorfer, C.B.; Bulitta, J.B.; Kinzig, M.; Holzgrabe, U.; Sörgel, F. Penetration of Antibacterials into Bone: Pharmacokinetic, Pharmacodynamic and Bioanalytical Considerations. Clin. Pharmacokinet. 2009, 48, 89–124. [Google Scholar] [CrossRef]
  35. Niska, J.A.; Shahbazian, J.H.; Ramos, R.I.; Francis, K.P.; Bernthal, N.M.; Miller, L.S. Vancomycin-Rifampin Combination Therapy Has Enhanced Efficacy against an Experimental Staphylococcus Aureus Prosthetic Joint Infection. Antimicrob. Agents Chemother. 2013, 57, 5080–5086. [Google Scholar] [CrossRef] [PubMed]
  36. Mini, E.; Nobili, S.; Periti, P. Methicillin-Resistant Staphylococci in Clean Surgery. Is There a Role for Prophylaxis? Drugs 1997, 54 (Suppl. S6), 39–52. [Google Scholar] [CrossRef]
  37. European Committee on Antimicrobial Susceptibility Testing Breakpoint Tables for Interpretation of MICs and Zone Diameters Version 12.0, Valid from 2022-01-01.
  38. Villa, J.M.; Pannu, T.S.; Riesgo, A.M.; Patel, P.D.; Mont, M.A.; Higuera-Rueda, C.A. Dual Antibiotic Prophylaxis in Total Knee Arthroplasty: Where Do We Stand? J. Knee Surg. 2020, 33, 100–105. [Google Scholar] [CrossRef]
  39. Peel, T.N.; Astbury, S.; Cheng, A.C.; Paterson, D.L.; Buising, K.L.; Spelman, T.; Tran-Duy, A.; Adie, S.; Boyce, G.; McDougall, C.; et al. Trial of Vancomycin and Cefazolin as Surgical Prophylaxis in Arthroplasty. N. Engl. J. Med. 2023, 389, 1488–1498. [Google Scholar] [CrossRef] [PubMed]
  40. Branch-Elliman, W.; Ripollone, J.E.; O’Brien, W.J.; Itani, K.M.F.; Schweizer, M.L.; Perencevich, E.; Strymish, J.; Gupta, K. Risk of Surgical Site Infection, Acute Kidney Injury, and Clostridium Difficile Infection Following Antibiotic Prophylaxis with Vancomycin plus a Beta-Lactam versus Either Drug Alone: A National Propensity-Score-Adjusted Retrospective Cohort Study. PLoS Med. 2017, 14, e1002340. [Google Scholar] [CrossRef] [PubMed]
  41. Tsukayama, D.T.; Goldberg, V.M.; Kyle, R. Diagnosis and Management of Infection after Total Knee Arthroplasty. J. Bone Joint Surg. Am. 2003, 85 (Suppl. S1), 75–80. [Google Scholar] [CrossRef] [PubMed]
  42. De Vecchi, E.; Bottagisio, M.; Bortolin, M.; Toscano, M.; Lovati, A.B.; Drago, L. Improving the Bacterial Recovery by Using Dithiothreitol with Aerobic and Anaerobic Broth in Biofilm-Related Prosthetic and Joint Infections. Adv. Exp. Med. Biol. 2017, 973, 31–39. [Google Scholar] [CrossRef]
  43. De Vecchi, E.; Bortolin, M.; Signori, V.; Romanò, C.L.; Drago, L. Treatment With Dithiothreitol Improves Bacterial Recovery From Tissue Samples in Osteoarticular and Joint Infections. J. Arthroplasty 2016, 31, 2867–2870. [Google Scholar] [CrossRef]
  44. Gilbert, D.N.; Chambers, H.F.; Saag, M.S.; Pavia, A.; Boucher, H.W.; Black, D.; Schwartz, B.S.; Freedman, D.O.; Kim, K. The Sanford Guide to Antimicrobial Therapy; Antimicrobial Therapy, Inc.: Sperryville, VA, USA, 2021; p. 308. [Google Scholar]
Figure 1. The prevalence rates of bacteria isolated in cases of periprosthetic hip and knee infections.
Figure 1. The prevalence rates of bacteria isolated in cases of periprosthetic hip and knee infections.
Antibiotics 13 00399 g001
Figure 2. The prevalence rates of bacteria isolated in cases of periprosthetic shoulder infection.
Figure 2. The prevalence rates of bacteria isolated in cases of periprosthetic shoulder infection.
Antibiotics 13 00399 g002
Figure 3. Cumulative number of bacteria in early vs. delayed PJI.
Figure 3. Cumulative number of bacteria in early vs. delayed PJI.
Antibiotics 13 00399 g003
Table 1. Summary table of the bacteria isolated in our case series, divided by onset and location.
Table 1. Summary table of the bacteria isolated in our case series, divided by onset and location.
TotalEarlyDelayedHip and KneeShoulder
Gram+S. aureus1679151
S. epidermidis1587132
S. lugdunensis6336
S. saprophyticus1 11
S. capitis1 11
S. caprae1 11
S. warneri11 1
S. pneumoniae11 1
S. mitis11 1
S. agalactiae1 11
S. equisimilis1 11
C. amycolatum11 1
C. jeikeium11 1
C. striatum1 11
E. faecalis3213
C. acnes51423
F. magna22 2
Gram−E. cloacae21111
P. mirabilis22 2
E. coli1 11
P. aeruginosa11 1
M. morganii11 1
Total653332587
Table 2. Staphylococcal resistance profile. CoNS (Coagulase-negative Staphylococcus). We included in the table anti-Staphilococcical antibiotics commonly used in the treatment of bone and joint infections, which are routinely tested by our microbiology laboratory. All of these have good bone and synovial fluid distribution [24].
Table 2. Staphylococcal resistance profile. CoNS (Coagulase-negative Staphylococcus). We included in the table anti-Staphilococcical antibiotics commonly used in the treatment of bone and joint infections, which are routinely tested by our microbiology laboratory. All of these have good bone and synovial fluid distribution [24].
AntibioticS. aureusS. epidermidisOthers CoNS
Oxacillin3/1613/153/10
Levofloxacin2/169/151/10
Daptomycin0/162/150/10
Rifampicin1/163/150/10
Vancomycin0/160/150/10
Teicoplanin0/160/150/10
Tetracycline0/169/150/10
Linezolid0/160/150/10
Gentamicin1/167/151/10
Cotrimoxazole0/165/150/10
Clindamycin3/168/152/10
Cefazolin3/1613/153/10
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Suardi, V.; Baroni, D.; Shahein, A.H.A.; Morena, V.; Logoluso, N.; Mangiavini, L.; Pellegrini, A.V. Microbiology of Prosthetic Joint Infections: A Retrospective Study of an Italian Orthopaedic Hospital. Antibiotics 2024, 13, 399. https://doi.org/10.3390/antibiotics13050399

AMA Style

Suardi V, Baroni D, Shahein AHA, Morena V, Logoluso N, Mangiavini L, Pellegrini AV. Microbiology of Prosthetic Joint Infections: A Retrospective Study of an Italian Orthopaedic Hospital. Antibiotics. 2024; 13(5):399. https://doi.org/10.3390/antibiotics13050399

Chicago/Turabian Style

Suardi, Virginia, Daniele Baroni, Abdelrahman Hosni Abdelhamid Shahein, Valentina Morena, Nicola Logoluso, Laura Mangiavini, and Antonio Virgilio Pellegrini. 2024. "Microbiology of Prosthetic Joint Infections: A Retrospective Study of an Italian Orthopaedic Hospital" Antibiotics 13, no. 5: 399. https://doi.org/10.3390/antibiotics13050399

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop