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Open Access

Arthroplasty

The EBJIS definition of periprosthetic joint infection

a practical guide for clinicians



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Abstract

Aims

The diagnosis of periprosthetic joint infection (PJI) can be difficult. All current diagnostic tests have problems with accuracy and interpretation of results. Many new tests have been proposed, but there is no consensus on the place of many of these in the diagnostic pathway. Previous attempts to develop a definition of PJI have not been universally accepted and there remains no reference standard definition.

Methods

This paper reports the outcome of a project developed by the European Bone and Joint Infection Society (EBJIS), and supported by the Musculoskeletal Infection Society (MSIS) and the European Society of Clinical Microbiology and Infectious Diseases (ESCMID) Study Group for Implant-Associated Infections (ESGIAI). It comprised a comprehensive review of the literature, open discussion with Society members and conference delegates, and an expert panel assessment of the results to produce the final guidance.

Results

This process evolved a three-level approach to the diagnostic continuum, resulting in a definition set and guidance, which has been fully endorsed by EBJIS, MSIS, and ESGIAI.

Conclusion

The definition presents a novel three-level approach to diagnosis, based on the most robust evidence, which will be useful to clinicians in daily practice.

Cite this article: Bone Joint J 2021;103-B(1):18–25.

Take home message

Diagnosis of periprosthetic joint infection (PJI) can be difficult. Low-grade infections can be missed and overdiagnosis is a risk with false-positive tests.

A PJI definition must recognise the limitations of existing tests, and the need to interpret these in the clinical context.

This new EBJIS definition proposes a three-level approach, which can be applied now with patients around the world.

Introduction

Periprosthetic joint infection (PJI) is a major burden for healthcare systems.1-3 It is disabling for patients and may require invasive treatment with a risk of significant adverse events. Accurate diagnosis is the starting point for effective treatment.

There have been many attempts to define the criteria by which PJI is diagnosed. The Musculoskeletal Infection Society (MSIS) produced an initial definition in 2011,4 modified and subjected to international consensus review (International Consensus on Musculoskeletal Infection (ICM)) in 2013.5 Also in 2013, the Infectious Diseases Society of America (IDSA) published guidance on diagnosis from an international expert group.6 More recently, a new definition has been produced using a weighted-score definition set, validated in a patient cohort.7 This was discussed at the reconvened ICM in 2018, but was supported by only 68% of delegates.8 It was not endorsed by the MSIS or the European Bone and Joint Infection Society (EBJIS).

These PJI definitions have allowed a clear focus on the need for accurate diagnosis and have provided reference standards for clinical and diagnostic studies. However, no single definition has gained acceptance as the reference standard for clinical practice. This may be due to many factors, including complexity, geographical variations in practice, the use of expensive tests, and disagreement over the accuracy of some of the included tests.9

Previous studies have used all of these definitions (MSIS, IDSA, or ICM) and others, making comparison of outcomes difficult. Perhaps the major concern with previous work involves the sensitivity of diagnosis.

There is now a greater understanding of low-grade infections which may have been missed in the past.2,10-12 Underdiagnosis risks poor outcomes with inappropriate treatment aimed at aseptic revision, when infection is present.

This paper reports the outcome of a project developed by the EBJIS and supported by MSIS and the European Society of Clinical Microbiology and Infectious Diseases (ESCMID) Study Group for Implant-Associated Infections (ESGIAI). It comprised a comprehensive review of the literature, open discussion with Society members and conference delegates, and an expert panel assessment of the results to produce the final guidance.

The purpose of a definition of PJI

Any diagnostic definition set has two distinct uses: firstly, and most importantly, it must give a clinician, who may or may not be an expert in the field, a clear set of investigations and outcomes which allow them to decide if an infection is present or not. If there was a diagnostic test with absolute accuracy, this would be a simple matter. We do not have such a test, so we must attribute levels of confidence to each test, in the context of the clinical picture. This will require the definition to distinguish between test results that are pathognomonic for infection (confirmed infection) and tests that are associated with infection, when positive, but cannot alone confirm that an infection is present (infection likely).

Secondly, the definition must facilitate researchers to perform studies in patients with or without an infection. The evaluation of a new treatment for PJI, for instance, will be misleading if it is applied to a group of patients in whom the diagnosis is not certain, and may include those with aseptic loosening. This problem may, in part, account for the varied reported treatment success rates from previous studies. This was recently highlighted by Renz et al.13 In their study, the incidence of infection varied from 21% to 37%, depending on which definition set was studied.

Considerations on the design of a new definition set

The definition:

  1. Must diagnose the large majority of infections based on the sensitivity of diagnostic tests. Underdiagnosing PJI leads to inadequate treatment with severe consequences.

  2. Must not overdiagnose infection, resulting in inappropriate invasive treatment. Infection should only be regarded as definitely present, when confirmed with tests that have high specificity.

  3. Must be simple in application.

  4. Must help with decision-making at the time of use.

  5. Must include widely available tests. There is no value in duplicating tests that are based on the same biochemical or pathological abnormalities.

  6. Must be acceptable to a wide range of clinicians, in terms of the validity of its conclusions and the evidence base for the tests from which it is derived.

  7. Must not be taken as an indication for any specific treatment. It is entirely reasonable for a surgeon and patient to agree to have no treatment, even when the definition suggests that an infection is present.

  8. Must recognize that levels of confidence in any particular test will change with improving research and better understanding of disease mechanisms. This may change the place of that test within the definition over time.

Clinicians should be encouraged to apply the definition in the context of the information available on all aspects of the patient’s health. This is difficult within a concise definition. For instance, a patient on immunosuppressive therapy will be less likely to produce high levels of inflammatory biomarkers, but is at higher risk of infection. Therefore, the clinician may wish to reduce the reliance on biomarkers and increase the significance of clinical, microbiological, or histological features. The decision to increase or reduce the significance of a diagnostic test should be considered within a multidisciplinary team, which can evaluate all aspects of the patient care.

Methods

In 2017, at the 36th annual meeting of the EBJIS, the production of a definition of PJI was discussed. In 2018, Renz et al13 published a proposed EBJIS definition, which was presented to the 37th annual meeting of the EBJIS. The open discussion, with over 450 delegates present (including representatives of MSIS and ESGIAI), identified concerns over the choice of diagnostic cut-offs and the validity of the conclusions. The meeting recommended a reappraisal of the definition categories.

In 2018 to 2019, an extensive literature review was performed by three of the authors (RS, RH, MMcN), resulting in identification of over 250 studies with good methodology, on 27 diagnostic topics. Papers were selected with clear data on the sensitivity and specificity of diagnostic tests. Tests were only considered if there was more than one study group supporting accuracy and the test was widely available. Expert opinion alone was not used in the evaluation of any diagnostic test.

From this analysis, the EBJIS executive committee produced a draft definition which was circulated to the members of the MSIS and ESGIAI for comments before presentation at the 38th annual meeting of the EBJIS in 2019. At this meeting, the modified draft was approved and has since been endorsed by EBJIS, MSIS, and ESGIAI.

Results

In general, studies were compromised by a lack of rigour in defining the reference standard applied in each series, making comparison of tests difficult. However, there was a body of evidence which was useful in the definition of PJI and can be applied safely. It consisted of a range of simpler (and usually older) tests and newer, but often well studied tests. As expected, there was diversity in the conclusions of these papers and on the validity of the diagnostic tests.

It became clear that it was not practical to have a binary definition; infected or not infected. This problem has been previously identified in both PJI14 and in fracture-related infection (FRI).15 Currently available diagnostic tests cannot give us this, as each has significant false-positive and false-negative rates. Even combining tests (which has been reported in many papers) does not resolve this problem. At present, there are no tests that can definitively exclude infection. Therefore, a three-level definition is proposed. This is similar, in principle, to that published for FRI,15 which has been adopted by the 2018 ICM16 and used successfully in recent studies.17

The definition levels have been chosen to provide the most useful data for clinical decision-making for each scenario (Figure 1). We have allocated diagnostic tests to groups which indicated:

  1. Infection unlikely.

  2. Infection likely.

  3. Infection confirmed.

Fig. 1 
          EBJIS criteria for the diagnosis of clinically-suspected periprosthetic joint infection.

Fig. 1

EBJIS criteria for the diagnosis of clinically-suspected periprosthetic joint infection.

It is important to note that the significance of each test is different in each group. If a confirmatory test is positive, this test alone can define the presence of an infection (infection confirmed). Such a test must have very high specificity. Conversely, in order to conclude that infection is not present (infection unlikely), there must be no positive tests which suggest or confirm an infection. There are also patients who may have some positive diagnostic tests (clinical signs, raised biomarkers, imaging) which are associated with infection but are not of sufficient specificity to confirm an infection. This group may include patients with low grade infections, which may be missed in the classical bimodal definitions.

In this proposal, a middle group (infection likely) is defined, which should alert the clinician that there is a significant risk that an infection may be present and further comprehensive investigation should be considered. In this group, the presence of a single positive test does not imply that an infection is likely. However, if there is a clinical sign or raised serum C-reactive protein (CRP), together with another positive test, this indicates that an infection is likely. It should be noted that multiple positive suggestive tests in this group do not confirm infection. This can only be done with identification of a positive test from the confirmatory criteria.

Figure 1 summarizes the elements of the proposed three-level definition. It should be noted that many of the elements have specific caveats applied to their use or interpretation, as listed in the legends.

Diagnostic categories

Clinical signs

PJI can present in many ways, ranging from fulminant joint sepsis with clear signs of infection to more indolent symptoms, such as pain or joint dysfunction. The mode of clinical presentation relates to the pathogenesis (planktonic bacteria vs biofilm) and microbial aetiology of the infection (high vs low virulence microorganisms). While fever and erythema are quite specific, they are also insensitive for diagnosing PJI.18 Pain and reduced range of movement are the most sensitive clinical findings in infected cases, but they greatly overlap with aseptic failures.18 Correctly distinguishing PJI from aseptic failure is a real problem in clinical practice and, above all, it depends on keen clinical awareness and suspicion.

A sinus tract communicating with the joint or exposed prosthesis are the only fully specific clinical findings. A history of problems with wound healing (such as prolonged wound leakage, wound dehiscence, or superficial infection) after primary implantation,19-21 or a recent bacteraemia22,23 (which may be a consequence of, or cause, the PJI), should suggest that an infection is likely. The timing of failure is relevant information to consider as there is an inverse correlation between prosthesis-age and positive microbiological findings. Early loosening is more often caused by hidden PJI than late loosening.24,25

Intraoperative finding of purulent fluid around a prosthesis is a subjective assessment by the surgeon. It is difficult to distinguish between pus and other turbid fluids present in other conditions, such as adverse local tissue reaction (ALTR) and crystal arthropathy, and virtually impossible to describe the features defining each.26 As such, although its presence may raise suspicion of infection, it should be considered suggestive of PJI but not a confirmatory sign.

Blood biomarkers

Erythrocyte sedimentation rate, white cell count, percentage of polymorph neutrophils (PMN), and CRP are the most widely available and studied.27 They are all a reflection of general inflammation and are affected by non-infective inflammatory conditions and may be normal in low-grade infections.10,11,28

CRP is especially useful in gauging the systemic severity of any infection, and is often recommended for septic screening. In the absence of other causes of raised inflammatory markers, which are often easy to exclude (e.g. crystal arthropathy, active inflammatory joint disease, periprosthetic fracture, or in the first few postoperative weeks), CRP level above 10 mg/l has sufficient specificity to be associated with PJI in the majority of cases. It cannot be used alone to confirm or exclude PJI,11 but a raised CRP without other cause should prompt the clinician to think about the likelihood of PJI. A normal CRP does not exclude infection.

Synovial fluid cytology

Synovial fluid aspiration in suspected PJI is a central part of the diagnostic pathway. It not only allows assessment of the degree of local inflammation, but also enables limited microbiological analysis. Synovial white blood cell (WBC) count has been included in all of the major definitions.4-6 The diagnostic cut-offs proposed in the literature vary between 1,500 and 4,000 cells/µL and the percentage of polymorphonuclear cells (PMN) between 65% and 80%.29

This variation highlights the difficulty for a bimodal definition set. In most analyses, sensitivities and specificities are around 90% and largely depend on the definition used to diagnose PJI. Levels for WBC count and PMNs below the lowest reported cut-offs can be used to indicate that an infection is unlikely. Values above this threshold may suggest infection, especially in PJI of the knee.30 In addition, there is a high level of consensus and literature support for a cut-off value of 3,000 cells/µl and a percentage of PMNs above 80% to confirm a PJI in the hip and knee.30 It must be noted that these cut-off levels can be affected by other conditions,30 and may not be appropriate for other joints, particularly in the upper limbs. Future studies are necessary to define the best cut-off level in these joints.

Synovial fluid biomarkers

Synovial fluid can be further investigated to assess biomarkers involved in the host/bacteria interaction.27,29 Among them, alpha-defensin has recently been added to the 2018 ICM definition.8 Laboratory-based alpha-defensin testing presents good diagnostic accuracy.27,29,31 It may be helpful in specific circumstances, such as after prior antibiotic administration32 or with low virulence microorganisms,33 and is not affected by contamination with blood.13

Current evidence, from independent studies, shows that it has demonstrated consistently high specificity and so can confirm infection.13,34-36 However, non-infectious inflammatory conditions, such as metallosis, gout, or inflammatory diseases, may lead to false-positives and their presence may invalidate the use of this test.37-39 A negative test should not be used to rule out PJI due to low sensitivity.13,40

It should be noted that the lateral-flow test has a significantly lower diagnostic accuracy (especially lower sensitivity) compared to the enzyme-linked immunosorbent assay (ELISA) in the laboratory.40,41

Microbiology

The sensitivity of preoperative synovial fluid culture in chronic infections is low and cannot be used as a screening test to rule out PJI. A positive preoperative culture is suggestive of infection.42,43

During revision surgery, in addition to synovial fluid, at least five reliable tissue samples must be obtained using separate instruments and immediately transferred to the laboratory.44,45 Anatomically representative solid tissue samples should be taken, particularly from the bone-implant interface membrane.46-48 The patient should be off antibiotics for at least two weeks, but antibiotic prophylaxis need not be withheld, and should be given prior to surgical incision.49 Cultures should be incubated for at least 14 days, unless enrichment techniques are used, like sonication and/or incubation of samples in blood culture bottles.50,51 Phenotypically indistinguishable microorganisms with identical antibiotic susceptibility pattern, ideally in all positive samples, but in at least two different samples clearly define infection.44,45

Interpretation of a single positive culture (in either preoperative aspiration or tissue culture) must be cautious and taken together with other evidence. When uncommon contaminants or virulent organisms (such as Staphylococcus aureus or Gram-negative rods) are found, this suggests an infection is likely. A single positive culture of a common contaminant (such as coagulase-negative staphylococci or Cutibacterium acnes) does not confirm the presence of infection, but should prompt further investigation.

Ideally, the implant should also be collected and processed using validated methods for biofilm disruption. Sonication of implants increases the yield of cultured organisms in chronic infections, in particular when the patient was on prior antibiotic treatment.44,52,53 Sonication can be performed with or without a concentration centrifugation step. Any positive culture from sonication fluid must be considered as a potential infection,52 but > 50 colony-forming units/ml (CFU/ml) confirms infection.52,53 The proposed cut-offs refer to a non-concentrated technique.52 If the concentration technique is applied, the suggested cut-off is 200 CFU/ml to confirm an infection.54 If other variations to the protocol are used, validated cut-offs for each protocol must be applied.

Histology

The presence of acute inflammatory cells in tissue is highly specific for PJI.54-60 This can be determined from preoperative biopsies or intraoperative tissue samples. However, the inflammatory infiltrate may not be uniformly distributed throughout the joint. It is essential to take at least three deep samples, favouring the bone-implant interface membrane, synovium/pseudo capsule, or other abnormal tissue.48 Five to ten high-power fields (× 400 magnification) should be evaluated.

Various diagnostic criteria have been published, again demonstrating the difficulty of a bimodal definition. The most common criterion for confirmation of infection is the presence of five or more neutrophils in each of five high-powered fields.4,60-62 A lower number of neutrophils or a lower number of positive high-powered fields has also been reported with good specificity,57-59,63-65 making it reasonable to conclude that infection is likely if at least one high-power field contains at least five neutrophils. Regardless of the criterion proposed, histology has lower sensitivity than specificity (especially with microorganisms like coagulase-negative staphylococci and C. acnes).59

The presence of visible microorganisms with appropriate histological stains (Gram stain, Zeihl-Neelsen, fungal stains) has low sensitivity but is specific,45,66 especially for identification of atypical organisms, which may not be cultured on routine microbiological protocols (e.g. fungi, filamentous bacteria, and mycobacteria).

Interpretation criteria are valid both for paraffin and frozen sections. Although interpretation of cell morphology in the latter may be more difficult, it can be applied when a specialist pathologist is available.63,67,68

Nuclear imaging

The role of nuclear imaging in the diagnosis of PJI is emerging. False-positive isotope uptake can occur around loose aseptic implants and in the postoperative period. For this reason, three phase bone scintigraphy is only reliable two years after hip arthroplasty and five years after knee arthroplasty.69 A negative isotope scan in this regard has a high negative predictive value and makes an infection unlikely. In addition, improved protocols for nuclear imaging, particularly for WBC scintigraphy, have recently allowed better diagnostic evaluation of infected implants. A positive WBC scintigraphy, defined as an increasing accumulation of labelled leucocytes over time (after three to four hours and 20 hours), is suggestive of infection, especially when combined with bone marrow scintigraphy by reducing the number of false-positive cases.70,71 Currently, no standardized interpretation criteria exist for FDG-PET CT in the diagnosis of PJI.18

Discussion

This project draws together the work of previous groups and adds new insights from recent studies. We have retained parts of the MSIS, IDSA, and ICM definitions, which are validated in multiple publications. This new EBJIS definition will be more sensitive due to upgrading of some diagnostics from minor criteria to full confirmatory tests. We aimed to include well-studied, validated tests and to avoid duplicating tests which address the same biochemical or pathological pathways. For instance, other serum biomarkers included in previous definitions, such as ESR or D-dimer, were judged to offer no added value over CRP.72 We also avoided overdiagnosis by including only tests with high specificity in the confirmatory category.

The development of the middle ‘infection likely’ group is novel and was the most difficult to define. It is perhaps the most important because it directs clinicians to think again about cases which traditionally would not be classed as infected, but which may be. This more flexible approach may increase the face validity.14 The inclusion of nuclear imaging reflects the increasing knowledge in this field and the wider availability of this modality.69

It is crucial to acknowledge that most PJI cases can be accurately diagnosed using simple, inexpensive, and widely available tests. Sharp clinical suspicion, basic synovial fluid analysis, and consistent intraoperative tissue investigation are key for successful diagnosis and treatment and are recommended. This guide does not dictate which tests are mandatory for diagnosis, as availability and expertise vary around the world. There is little published evidence on the minimum set of diagnostic investigations, which is required to diagnose or exclude PJI. Expensive or laborious tests are not essential and should be reserved for selected cases where their potential benefits outweigh their limitations.73

Many researchers prefer to focus diagnostic investigations on changes which occur within the synovial cavity. Leucocyte esterase has shown good results27,74 and was included in previous PJI definitions.5,8 However, it is a qualitative estimation of leucocyte count and there are practical limitations, such as bloody taps or intermediate results, that limit its interpretation.75,76 It was tempting to include many novel diagnostic molecules, such as synovial CRP,77,78 calprotectin,79 D-lactate,80 adenosine deaminase,78 or even synovial cytokines (e.g. IL-6).27,29 These show early promise, but are neither as widely studied nor readily available and, as such, are not practical at this time.

Microbiological investigation, especially after revision surgery, remains a important cornerstone for PJI management. Not only does it clarify diagnosis, but also guides targeted antibiotic treatment. All efforts should be made to ensure adequate and reliable sampling and laboratory processing including biofilm disruption techniques. Notwithstanding, a proportion of cases remain culture-negative.44,45,49,53,54,81 Molecular techniques are gaining momentum and promise to be useful, especially in such cases, but the lack of clear interpretative criteria make it difficult to include them in a definition set at this point.12,82-85

A plethora of other diagnostic tests and techniques have been proposed. We considered many at length, but concluded that they either duplicated the place of other tests, were expensive, did not add to the precision of diagnosis, or required expertise which was not generally available.63,73,86,87 However, all can be supported in terms of their accuracy in some clinical studies.

This definition does not distinguish PJI on the basis of the duration of the infection (acute or chronic) or the time of onset from implantation (early or late). These terms are not defined with any degree of certainty with time-dependant cut-offs, and so cannot be included in a definition of PJI. We support the view that infection occurs as a continuum over time.8,9 The criteria we have presented are valid, with the stated caveats, at all time points, although special care must be taken to interpret tests which quantify inflammation in the early postoperative period.

The concept of a three-level ‘traffic light’ definition allows the clinician to consider the place of test results or clinical signs which are commonly found, but are not specific for infection (such as a raised CRP) (Figure 1). This problem is recognized in the 2018 ICM definition8 and is partly addressed with a scoring system from a single clinical series.7 This was also suggested by Oussedik et al14 (2012), who advocated a multilevel definition with scores based on statistical analysis of parameters. We did not apply scores to our test criteria as the literature is highly heterogenous and scores would be arbitrary at best. The three-level concept has been applied in fracture-related infection15,16,88 and requires similar consideration in PJI.

The need for a unified definition is clear, and this offers a practical way forward which can be used immediately in many clinics around the world. As stated above, it is likely that the place of each element will change over time with new diagnostic tests and more robust evaluation of existing tests.


Correspondence should be sent to Martin McNally. E-mail:

References

1. Kurtz SM , Lau E , Watson H , Schmier JK , Parvizi J . Economic burden of periprosthetic joint infection in the United States . J Arthroplasty . 2012 ; 27 ( 8 Suppl ): 61 65 . Crossref PubMed Google Scholar

2. Ibrahim MS , Twaij H , Haddad FS . Two-stage revision for the culture-negative infected total hip arthroplasty : A comparative study . Bone Joint J . 2018 ; 100-B ( 1 Supple A ): 3 8 . Crossref PubMed Google Scholar

3. Middleton R , Khan T , Alvand A . Update on the diagnosis and management of prosthetic joint infection in hip and knee arthroplasty . Bone & Joint 360 . 2019 ; 8 ( 4 ): 5 13 . Google Scholar

4. Parvizi J , Zmistowski B , Berbari EF , et al. New definition for periprosthetic joint infection: from the Workgroup of the musculoskeletal infection Society . Clin Orthop Relat Res . 2011 ; 469 ( 11 ): 2992 2994 . Crossref PubMed Google Scholar

5. Parvizi J , Gehrke T , et al. International consensus group on periprosthetic joint I. Definition of periprosthetic joint infection . J Arthroplasty . 2014 ; 29 ( 7 ): 1331 . Google Scholar

6. Osmon DR , Berbari EF , Berendt AR , et al. Diagnosis and management of prosthetic joint infection: clinical practice guidelines by the infectious diseases Society of America . Clin Infect Dis . 2013 ; 56 ( 1 ): e1 e25 . Crossref PubMed Google Scholar

7. Parvizi J , Tan TL , Goswami K , et al. The 2018 definition of periprosthetic hip and knee infection: an evidence-based and validated criteria . J Arthroplasty . 2018 ; 33 ( 5 ): 1309 1314 . Crossref PubMed Google Scholar

8. Shohat N , Bauer T , Buttaro M , et al. Hip and knee section, what is the definition of a periprosthetic joint infection (PJI) of the knee and the hip? can the same criteria be used for both joints?: proceedings of international consensus on orthopedic infections . J Arthroplasty . 2019 ; 34 ( 2S ): S325 S327 . Crossref PubMed Google Scholar

9. Villa JM , Pannu TS , Piuzzi N , Riesgo AM , Higuera CA . Evolution of diagnostic definitions for periprosthetic joint infection in total hip and knee arthroplasty . J Arthroplasty . 2020 ; 35 ( 3S ): S9 S13 . Crossref PubMed Google Scholar

10. Kheir MM , Tan TL , Shohat N , Foltz C , Parvizi J . Routine diagnostic tests for periprosthetic joint infection demonstrate a high false-negative rate and are influenced by the infecting organism . J Bone Joint Surg Am . 2018 ; 100 ( 23 ): 2057 2065 . Crossref PubMed Google Scholar

11. Akgün D , Müller M , Perka C , Winkler T . The serum level of C-reactive protein alone cannot be used for the diagnosis of prosthetic joint infections, especially in those caused by organisms of low virulence . Bone Joint J . 2018 ; 100-B ( 11 ): 1482 1486 . Crossref PubMed Google Scholar

12. Cazanave C , Greenwood-Quaintance KE , Hanssen AD , et al. Rapid molecular microbiologic diagnosis of prosthetic joint infection . J Clin Microbiol . 2013 ; 51 ( 7 ): 2280 2287 . Crossref PubMed Google Scholar

13. Renz N , Yermak K , Perka C , Trampuz A . Alpha defensin lateral flow test for diagnosis of periprosthetic joint infection: not a screening but a confirmatory test . J Bone Joint Surg Am . 2018 ; 100 ( 9 ): 742 750 . Google Scholar

14. Oussedik S , Gould K , Stockley I , Haddad FS Perisphosthetic infection: Do we have a workable gold standard? Bone Joint J . 2012 : 1455 1456 . Google Scholar

15. Metsemakers WJ , Morgenstern M , McNally MA , et al. Fracture-related infection: a consensus on definition from an international expert group . Injury . 2018 ; 49 ( 3 ): 505 510 . Crossref PubMed Google Scholar

16. Obremskey WT , Metsemakers W-J , Schlatterer DR , et al. Musculoskeletal infection in orthopaedic trauma: assessment of the 2018 international consensus meeting on musculoskeletal infection . J Bone Joint Surg Am . 2020 ; 102 ( 10 ): e44 . Crossref PubMed Google Scholar

17. Declercq P , Zalavras C , Nijssen A , et al. Impact of duration of perioperative antibiotic prophylaxis on development of fracture-related infection in open fractures . Arch Orthop Trauma Surg . 2020 ; Epub ahead of print . Crossref PubMed Google Scholar

18. Shohat N , Goswami K , Tan TL , et al. Fever and erythema are specific findings in detecting infection following total knee arthroplasty . J Bone Jt Infect . 2019 ; 4 ( 2 ): 92 98 . Crossref PubMed Google Scholar

19. Jaberi FM , Parvizi J , Haytmanek CT , Joshi A , Purtill J . Procrastination of wound drainage and malnutrition affect the outcome of joint arthroplasty . Clin Orthop Relat Res . 2008 ; 466 ( 6 ): 1368 1371 . Crossref PubMed Google Scholar

20. Saleh K , Olson M , Resig S , et al. Predictors of wound infection in hip and knee joint replacement: results from a 20 year surveillance program . J Orthop Res . 2002 ; 20 ( 3 ): 506 515 . Crossref PubMed Google Scholar

21. Zhu Y , Zhang F , Chen W , et al. Risk factors for periprosthetic joint infection after total joint arthroplasty: a systematic review and meta-analysis . J Hosp Infect . 2015 ; 89 ( 2 ): 82 89 . Crossref PubMed Google Scholar

22. Sendi P , Banderet F , Graber P , Zimmerli W . Periprosthetic joint infection following Staphylococcus aureus bacteremia . J Infect . 2011 ; 63 ( 1 ): 17 22 . Crossref PubMed Google Scholar

23. Tande AJ , Palraj BR , Osmon DR , et al. Clinical presentation, risk factors, and outcomes of hematogenous prosthetic joint infection in patients with Staphylococcus aureus bacteremia . Am J Med . 2016 ; 129 ( 2 ): 221.e11 221221 . Crossref PubMed Google Scholar

24. Ribera A , Morata L , Moranas J , et al. Clinical and microbiological findings in prosthetic joint replacement due to aseptic loosening . J Infect . 2014 ; 69 ( 3 ): 235 243 . Crossref PubMed Google Scholar

25. Portillo ME , Salvadó M , Alier A , et al. Prosthesis failure within 2 years of implantation is highly predictive of infection . Clin Orthop Relat Res . 2013 ; 471 ( 11 ): 3672 3678 . Crossref PubMed Google Scholar

26. Alijanipour P , Adeli B , Hansen EN , Chen AF , Parvizi J . Intraoperative purulence is not reliable for diagnosing periprosthetic joint infection . J Arthroplasty . 2015 ; 30 ( 8 ): 1403 1406 . Google Scholar

27. Carli AV , Abdelbary H , Ahmadzai N , et al. Diagnostic accuracy of serum, synovial, and tissue testing for chronic periprosthetic joint infection after hip and knee replacements: a systematic review . J Bone Joint Surg Am . 2019 ; 101 ( 7 ): 635 649 . Crossref PubMed Google Scholar

28. McArthur BA , Abdel MP , Taunton MJ , Osmon DR , Hanssen AD . Seronegative infections in hip and knee arthroplasty: periprosthetic infections with normal erythrocyte sedimentation rate and C-reactive protein level . Bone Joint J . 2015 ; 97-B ( 7 ): 939 944 . Crossref PubMed Google Scholar

29. Lee YS , Koo K-H , Kim HJ , et al. Synovial fluid biomarkers for the diagnosis of periprosthetic joint infection: a systematic review and meta-analysis . J Bone Joint Surg Am . 2017 ; 99 ( 24 ): 2077 2084 . Crossref PubMed Google Scholar

30. Ottink KD , Strahm C , Muller-Kobold A , Sendi P , Wouthuyzen-Bakker M . Factors to consider when assessing the diagnostic accuracy of synovial leukocyte count in periprosthetic joint infection . J Bone Jt Infect . 2019 ; 4 ( 4 ): 167 173 . Crossref PubMed Google Scholar

31. Saleh A , Ramanathan D , Siqueira MBP , et al. The diagnostic utility of synovial fluid markers in periprosthetic joint infection: a systematic review and meta-analysis . J Am Acad Orthop Surg . 2017 ; 25 ( 11 ): 763 772 . Crossref PubMed Google Scholar

32. Shahi A , Parvizi J , Kazarian GS , et al. The alpha-defensin test for periprosthetic joint infections is not affected by prior antibiotic administration . Clin Orthop Relat Res . 2016 ; 474 ( 7 ): 1610 1615 . Google Scholar

33. Deirmengian C , Kardos K , Kilmartin P , et al. The alpha-defensin test for periprosthetic joint infection responds to a wide spectrum of organisms . Clin Orthop Relat Res . 2015 ; 473 ( 7 ): 2229 2235 . Crossref PubMed Google Scholar

34. Sigmund IK , Holinka J , Gamper J , et al. Qualitative α-defensin test (Synovasure) for the diagnosis of periprosthetic infection in revision total joint arthroplasty . Bone Joint J . 2017 ; 99-B ( 1 ): 66 72 . Crossref PubMed Google Scholar

35. Kleiss S , Jandl NM , Novo de Oliveira A , Rüther W , Niemeier A . Diagnostic accuracy of alpha-defensin enzyme-linked immunosorbent assay in the clinical evaluation of painful hip and knee arthroplasty with possible prosthetic joint infection: a prospective study of 202 cases . Bone Joint J . 2019 ; 101-B ( 8 ): 970 977 . Crossref PubMed Google Scholar

36. Berger P , Van Cauter M , Driesen R , et al. Diagnosis of prosthetic joint infection with alpha-defensin using a lateral flow device: a multicentre study . Bone Joint J . 2017 ; 99-B ( 9 ): 1176 1182 . Crossref PubMed Google Scholar

37. Plate A , Stadler L , Sutter R , et al. Inflammatory disorders mimicking periprosthetic joint infections may result in false-positive α-defensin . Clin Microbiol Infect . 2018 ; 24 ( 11 ): 1212.e1 121212 . Crossref PubMed Google Scholar

38. Bonanzinga T , Zahar A , Dütsch M , et al. How reliable is the alpha-defensin immunoassay test for diagnosing periprosthetic joint infection? A prospective study . Clin Orthop Relat Res . 2017 ; 475 ( 2 ): 408 415 . Crossref PubMed Google Scholar

39. Partridge DG , Gordon A , Townsend R . False-Positive synovial fluid alpha-defensin test in a patient with acute gout affecting a prosthetic knee . Eur J Orthop Surg Traumatol . 2017 ; 27 ( 4 ): 549 551 . Crossref PubMed Google Scholar

40. Marson BA , Deshmukh SR , Grindlay DJC , Scammell BE . Alpha-Defensin and the Synovasure lateral flow device for the diagnosis of prosthetic joint infection: a systematic review and meta-analysis . Bone Joint J . 2018 ; 100-B ( 6 ): 703 711 . Crossref PubMed Google Scholar

41. Sigmund IK , Yermak K , Perka C , Trampuz A , Renz N . Is the enzyme-linked immunosorbent assay more accurate than the lateral flow alpha defensin test for diagnosing periprosthetic joint infection? Clin Orthop Relat Res . 2018 ; 476 ( 8 ): 1645 1654 . Crossref PubMed Google Scholar

42. Ali F , Wilkinson JM , Cooper JR , et al. Accuracy of joint aspiration for the preoperative diagnosis of infection in total hip arthroplasty . J Arthroplasty . 2006 ; 21 ( 2 ): 221 226 . Crossref PubMed Google Scholar

43. Qu X , Zhai Z , Wu C , et al. Preoperative aspiration culture for preoperative diagnosis of infection in total hip or knee arthroplasty . J Clin Microbiol . 2013 ; 51 ( 11 ): 3830 3834 . Google Scholar

44. Dudareva M , Barrett L , Figtree M , et al. Sonication versus tissue sampling for diagnosis of prosthetic joint and other orthopedic device-related infections . J Clin Microbiol . 2018 ; 56 ( 12 ): 1 12 . Crossref PubMed Google Scholar

45. Atkins BL , Athanasou N , Deeks JJ , et al. Prospective evaluation of criteria for microbiological diagnosis of prosthetic-joint infection at revision arthroplasty. The Osiris collaborative Study Group . J Clin Microbiol . 1998 ; 36 ( 10 ): 2932 2939 . Crossref PubMed Google Scholar

46. Hischebeth GTR , Randau TM , Molitor E , et al. Comparison of bacterial growth in sonication fluid cultures with periprosthetic membranes and with cultures of biopsies for diagnosing periprosthetic joint infection . Diagn Microbiol Infect Dis . 2016 ; 84 ( 2 ): 112 115 . Crossref PubMed Google Scholar

47. Bjerkan G , Witsø E , Nor A , et al. A comprehensive microbiological evaluation of fifty-four patients undergoing revision surgery due to prosthetic joint loosening . J Med Microbiol . 2012 ; 61 ( Pt 4 ): 572 581 . Crossref PubMed Google Scholar

48. Bori G , Muñoz-Mahamud E , Garcia S , et al. Interface membrane is the best sample for histological study to diagnose prosthetic joint infection . Mod Pathol . 2011 ; 24 ( 4 ): 579 584 . Crossref PubMed Google Scholar

49. Wouthuyzen-Bakker M , Benito N , Soriano A . The effect of preoperative antimicrobial prophylaxis on intraoperative culture results in patients with a suspected or confirmed prosthetic joint infection: a systematic review . J Clin Microbiol . 2017 ; 55 ( 9 ): 2765 2774 . Crossref PubMed Google Scholar

50. Peel TN , Dylla BL , Hughes JG , et al. Improved diagnosis of prosthetic joint infection by culturing periprosthetic tissue specimens in blood culture bottles . MBio . 2016 ; 7 ( 1 ): e01776-15 . Crossref PubMed Google Scholar

51. Portillo ME , Salvadó M , Trampuz A , et al. Improved diagnosis of orthopedic implant-associated infection by inoculation of sonication fluid into blood culture bottles . J Clin Microbiol . 2015 ; 53 ( 5 ): 1622 1627 . Crossref PubMed Google Scholar

52. Trampuz A , Piper KE , Jacobson MJ , et al. Sonication of removed hip and knee prostheses for diagnosis of infection . N Engl J Med . 2007 ; 357 ( 7 ): 654 663 . Crossref PubMed Google Scholar

53. Holinka J , Bauer L , Hirschl AM , et al. Sonication cultures of explanted components as an add-on test to routinely conducted microbiological diagnostics improve pathogen detection . J Orthop Res . 2011 ; 29 ( 4 ): 617 622 . Crossref PubMed Google Scholar

54. Tande AJ , Patel R . Prosthetic joint infection . Clin Microbiol Rev . 2014 ; 27 ( 2 ): 302 345 . Crossref PubMed Google Scholar

55. Morawietz L , Tiddens O , Mueller M , et al. Twenty-Three neutrophil granulocytes in 10 high-power fields is the best histopathological threshold to differentiate between aseptic and septic endoprosthesis loosening . Histopathology . 2009 ; 54 ( 7 ): 847 853 . Crossref PubMed Google Scholar

56. Pandey R , Berendt AR , Athanasou NA . Histological and microbiological findings in non-infected and infected revision arthroplasty tissues. The Osiris collaborative Study Group. Oxford skeletal infection research and intervention service . Arch Orthop Trauma Surg . 2000 ; 120 ( 10 ): 570 574 . Crossref PubMed Google Scholar

57. Nilsdotter-Augustinsson A , Briheim G , Herder A , et al. Inflammatory response in 85 patients with loosened hip prostheses: a prospective study comparing inflammatory markers in patients with aseptic and septic prosthetic loosening . Acta Orthop . 2007 ; 78 ( 5 ): 629 639 . Crossref PubMed Google Scholar

58. Krenn V , Morawietz L , Perino G , et al. Revised histopathological consensus classification of joint implant related pathology . Pathol Res Pract . 2014 ; 210 ( 12 ): 779 786 . Crossref PubMed Google Scholar

59. Bori G , McNally MA , Athanasou N . Histopathology in periprosthetic joint infection: when will the Morphomolecular diagnosis be a reality? Biomed Res Int . 2018 ; 2018 : 1 10 . Crossref PubMed Google Scholar

60. Musso AD , Mohanty K , Spencer-Jones R . Role of frozen section histology in diagnosis of infection during revision arthroplasty . Postgrad Med J . 2003 ; 79 ( 936 ): 590 593 . Crossref PubMed Google Scholar

61. Bori G , Soriano A , García S , et al. Low sensitivity of histology to predict the presence of microorganisms in suspected aseptic loosening of a joint prosthesis . Mod Pathol . 2006 ; 19 ( 6 ): 874 877 . Crossref PubMed Google Scholar

62. Kanner WA , Saleh KJ , Frierson HF . Reassessment of the usefulness of frozen section analysis for hip and knee joint revisions . Am J Clin Pathol . 2008 ; 130 ( 3 ): 363 368 . Crossref PubMed Google Scholar

63. Kwiecien G , George J , Klika AK , et al. Intraoperative frozen section histology: matched for musculoskeletal infection Society criteria . J Arthroplasty . 2017 ; 32 ( 1 ): 223 227 . Crossref PubMed Google Scholar

64. Nuñez LV , Buttaro MA , Morandi A , Pusso R , Piccaluga F . Frozen sections of samples taken intraoperatively for diagnosis of infection in revision hip surgery . Acta Orthop . 2007 ; 78 ( 2 ): 226 230 . Crossref PubMed Google Scholar

65. Ko PS , Ip D , Chow KP , et al. The role of intraoperative frozen section in decision making in revision hip and knee arthroplasties in a local community hospital . J Arthroplasty . 2005 ; 20 ( 2 ): 189 195 . Crossref PubMed Google Scholar

66. Wouthuyzen-Bakker M , Shohat N , Sebillotte M , et al. Is gram staining still useful in prosthetic joint infections? J Bone Jt Infect . 2019 ; 4 ( 2 ): 56 59 . Crossref PubMed Google Scholar

67. Stroh DA , Johnson AJ , Naziri Q , Mont MA . How do frozen and permanent histopathologic diagnoses compare for staged revision after periprosthetic hip infections? J Arthroplasty . 2012 ; 27 ( 9 ): 1663 1668 . Crossref PubMed Google Scholar

68. Tohtz SW , Müller M , Morawietz L , Winkler T , Perka C . Validity of frozen sections for analysis of periprosthetic loosening membranes . Clin Orthop Relat Res . 2010 ; 468 ( 3 ): 762 768 . Crossref PubMed Google Scholar

69. Sconfienza LM , Signore A , Cassar-Pullicino V , et al. Diagnosis of peripheral bone and prosthetic joint infections: overview on the consensus documents by the EANM, EBJIS, and ESR (with ESCMID endorsement) . Eur Radiol . 2019 ; 29 ( 12 ): 6425 6438 . Crossref PubMed Google Scholar

70. Glaudemans AWJM , de Vries EFJ , Vermeulen LEM , et al. A large retrospective single-centre study to define the best image acquisition protocols and interpretation criteria for white blood cell scintigraphy with ⁹⁹mTc-HMPAO-labelled leucocytes in musculoskeletal infections . Eur J Nucl Med Mol Imaging . 2013 ; 40 ( 11 ): 1760 1769 . Crossref PubMed Google Scholar

71. Signore A , Jamar F , Israel O , et al. Clinical indications, image acquisition and data interpretation for white blood cells and anti-granulocyte monoclonal antibody scintigraphy: an EANM procedural guideline . Eur J Nucl Med Mol Imaging . 2018 ; 45 ( 10 ): 1816 1831 . Crossref PubMed Google Scholar

72. Xiong L , Li S , Dai M . Comparison of D-dimer with CRP and ESR for diagnosis of periprosthetic joint infection . J Orthop Surg Res . 2019 ; 14 ( 1 ): 240 . Crossref PubMed Google Scholar

73. Amanatullah DF , Cheng RZ , Huddleston Iii JI , et al. The routine use of synovial alpha-defensin is not necessary . Bone Joint J . 2020 ; 102-B ( 5 ): 593 599 . Google Scholar

74. Chen Y , Kang X , Tao J , et al. Reliability of synovial fluid alpha-defensin and leukocyte esterase in diagnosing periprosthetic joint infection (PJI): a systematic review and meta-analysis . J Orthop Surg Res . 2019 ; 14 ( 1 ): 453 . Crossref PubMed Google Scholar

75. Wetters NG , Berend KR , Lombardi AV , et al. Leukocyte esterase reagent strips for the rapid diagnosis of periprosthetic joint infection . J Arthroplasty . 2012 ; 27 ( 8 Suppl ): 8 11 . Crossref PubMed Google Scholar

76. Shafafy R , McClatchie W , Chettiar K , et al. Use of leucocyte esterase reagent strips in the diagnosis or exclusion of prosthetic joint infection . Bone Joint J . 2015 ; 97-B ( 9 ): 1232 1236 . Crossref PubMed Google Scholar

77. De Vecchi E , Romanò CL , De Grandi R , et al. Alpha defensin, leukocyte esterase, C-reactive protein, and leukocyte count in synovial fluid for pre-operative diagnosis of periprosthetic infection . Int J Immunopathol Pharmacol . 2018 ; 32 : 205873841880607 6 . Crossref PubMed Google Scholar

78. Sousa R , Serrano P , Gomes Dias J , Oliveira JC , Oliveira A . Improving the accuracy of synovial fluid analysis in the diagnosis of prosthetic joint infection with simple and inexpensive biomarkers: C-reactive protein and adenosine deaminase . Bone Joint J . 2017 ; 99-B ( 3 ): 351 357 . Crossref PubMed Google Scholar

79. Wouthuyzen-Bakker M , Ploegmakers JJW , Ottink K , et al. Synovial calprotectin: an inexpensive biomarker to exclude a chronic prosthetic joint infection . J Arthroplasty . 2018 ; 33 ( 4 ): 1149 1153 . Crossref PubMed Google Scholar

80. Yermak K , Karbysheva S , Perka C , Trampuz A , Renz N . Performance of synovial fluid D-lactate for the diagnosis of periprosthetic joint infection: a prospective observational study . J Infect . 2019 ; 79 ( 2 ): 123 129 . Crossref PubMed Google Scholar

81. Tan TL , Kheir MM , Shohat N , et al. Culture-Negative periprosthetic joint infection: an update on what to expect . JB JS Open Access . 2018 ; 3 ( 3 ): e0060 . Crossref PubMed Google Scholar

82. Portillo ME , Salvadó M , Sorli L , et al. Multiplex PCR of sonication fluid accurately differentiates between prosthetic joint infection and aseptic failure . J Infect . 2012 ; 65 ( 6 ): 541 548 . Crossref PubMed Google Scholar

83. Torchia MT , Austin DC , Kunkel ST , Dwyer KW , Moschetti WE . Next-Generation sequencing vs culture-based methods for diagnosing periprosthetic joint infection after total knee arthroplasty: a cost-effectiveness analysis . J Arthroplasty . 2019 ; 34 ( 7 ): 1333 1341 . Crossref PubMed Google Scholar

84. Li M , Zeng Y , Wu Y , et al. Performance of sequencing assays in diagnosis of prosthetic joint infection: a systematic review and meta-analysis . J Arthroplasty . 2019 ; 34 ( 7 ): 1514 1522 . Crossref PubMed Google Scholar

85. Street TL , Sanderson ND , Atkins BL , et al. Molecular diagnosis of Orthopedic-Device-Related infection directly from sonication fluid by metagenomic sequencing . J Clin Microbiol . 2017 ; 55 ( 8 ): 2334 2347 . Crossref PubMed Google Scholar

86. Yoon J-R , Yang S-H , Shin Y-S . Diagnostic accuracy of interleukin-6 and procalcitonin in patients with periprosthetic joint infection: a systematic review and meta-analysis . Int Orthop . 2018 ; 42 ( 6 ): 1213 1226 . Crossref PubMed Google Scholar

87. Fink B , Schuster P , Braun R , Tagtalianidou E , Schlumberger M . The diagnostic value of routine preliminary biopsy in diagnosing late prosthetic joint infection after hip and knee arthroplasty . Bone Joint J . 2020 ; 102-B ( 3 ): 329 335 . Crossref PubMed Google Scholar

88. Bosch P , Glaudemans A , de Vries J-PPM , et al. Nuclear imaging for diagnosing fracture-related infection . Clin Trans Imaging . 2020 . Google Scholar

Author contributions

M. McNally: Wrote the manuscript, Designed the project, Performed the literature review, Analyzed the results.

R. Sousa: Wrote the manuscript, Performed the literature review, Analyzed the results.

M. Wouthuyzen-Bakker: Edited the paper, Analyzed the results.

A. F. Chen: Edited the manuscript, Analyzed the results.

A. Soriano: Edited the manuscript, Analyzed the results.

H. C. Vogely: Edited the manuscript, Analyzed the results.

M Clauss: Edited manuscript, Analyzed the data.

C. A. Higuera: Edited the manuscript, Analyzed the results.

R. Trebše: Edited the manuscript, Performed the literature review, Analyzed the results.

Funding statement

No benefits in any form have been received or will be received from a commercial party related directly or indirectly to the subject of this article.

ICMJE COI statement

M. McNally reports support for travel to meetings for the study (or other purposes) from the European Bone & Joint Society, which is related to this article, and royalties from Oxford University Press, which is unrelated. A. F. Chen declares royalties from SLACK Publishing and UpToDate, consultancy from Stryker, Pfizer, Convatec, 3M, Heraeus, DePuy-Ethicon, and GLG, consultancy and equity from bOne and Irrisept, equity from Joint Purification Systems, Sonoran Biosciences, Hyalex, and Graftworx, a grant from OREF, being a member of the advisory board for Hyalex, Recro, and being associate editor for The Journal of Bone and Joint Surgery, all of which are unrelated to to this artice. T. Clauss reports board membership for EBIS, which is unrelated. C. Higuera reports board membership for the Musculoskeletal Infection Society, consultancy from KCI, and grants/grants pending from Stryker, Zimmer Biomet, Orthofix, Ferring Pharmaceuticals, Lyfstone, CD Diagnostics, KCI, AAHKS, OREF, Cymedica and Aerobiotix, and stock/stock options from PSI, all of which are unrelated to this article. A. Soriano declares grants/grants pending and payment for lectures from Pfizer, and payment for lectures from Merck, Shionogi, and Menarini, all of which are unrelated. R. Trebše reports consultancy from Medacta, payment for lectures from Zimmer Biomet, and royalties from Springer Verlag, all of which are unrelated to this article.

Acknowledgements

Andrej Trampuz, Andor Glaudemans, Nora Renz, Barry Brause, Klaus Kirketerp-Møller and members of the executive committees of MSIS and ESGIAI, who critically reviewed and commented on the drafts.

Open access statement

This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives (CC BY-NC-ND 4.0) licence, which permits the copying and redistribution of the work only, and provided the original author and source are credited. See https://creativecommons.org/licenses/by-nc-nd/4.0/

This article was primary edited by G. Scott.