header advert
Bone & Joint Research Logo

Receive monthly Table of Contents alerts from Bone & Joint Research

Comprehensive article alerts can be set up and managed through your account settings

View my account settings

Visit Bone & Joint Research at:

Loading...

Loading...

Open Access

Infection

Improved diagnosis of chronic hip and knee prosthetic joint infection using combined serum and synovial IL-6 tests



Download PDF

Abstract

Aims

This study aimed to explore whether serum combined with synovial interleukin-6 (IL-6) measurement can improve the accuracy of prosthetic joint infection (PJI) diagnosis, and to establish the cut-off values of IL-6 in serum and synovial fluid in detecting chronic PJI.

Methods

Patients scheduled to have a revision surgery for indications of chronic infection of knee and hip arthroplasties or aseptic loosening of an implant were prospectively screened before being enrolled into this study. The Musculoskeletal Infection Society (MSIS) definition of PJI was used for the classification of cases as aseptic or infected. Serum CRP, ESR, IL-6, and percentage of polymorphonuclear neutrophils (PMN%) and IL-6 in synovial fluid were analyzed. Statistical tests were performed to compare these biomarkers in the two groups, and receiver operating characteristic (ROC) curves and area under the curve (AUC) were analyzed for each biomarker.

Results

A total of 93 patients were enrolled. There was no difference in demographic data between both groups. Synovial fluid IL-6, with a threshold of 1,855.36 pg/ml, demonstrated a mean sensitivity of 94.59% (95% confidence interval (CI) 81.8% to 99.3%) and a mean specificity of 92.86% (95% CI 82.7 to 98.0) for detecting chronic PJI. Then 6.7 pg/ml was determined to be the optimal threshold value of serum IL-6 for the diagnosis of chronic PJI, with a mean sensitivity of 97.30% (95% CI 85.8% to 99.9%) and a mean specificity of 76.79% (95% CI 63.6% to 87.0%). The combination of synovial IL-6 and serum IL-6 led to improved accuracy of 96.77% in diagnosing chronic PJI.

Conclusion

The present study identified that a combination of IL-6 in serum and synovial IL-6 has the potential for further improvement of the diagnosis of PJI.

Cite this article: Bone Joint Res 2020;9(9):587–592.

Article focus

  • Exploring whether serum interleukin-6 (IL-6) combined with synovial IL-6 measurement can improve the accuracy of prosthetic joint infection (PJI) diagnosis.

  • Establish the cut-off values for diagnosing chronic PJI based on serum and synovial IL-6.

Key messages

  • Synovial fluid IL-6 has a high diagnostic accuracy (93.55%) for the diagnosis of chronic PJI, and the cut-off values of synovial fluid and serum IL-6 were 1,855.36 pg/ml and 6.7 pg/ml, respectively.

Strengths and limitations

  • This is the first study to demonstrate that combination of synovial fluid and serum IL-6 improved diagnosis of chronic PJI.

  • This was a single-centre study with potential uncontrolled selection biases among subgroups.

  • This study excluded patients with aseptic inflammatory arthritis, such as rheumatoid arthritis, so we concluded that the scope of application would be limited.

Introduction

Although prevention is the most effective strategy, establishing an accurate and timely prosthetic joint infection (PJI) diagnosis remains critical for a successful treatment.1,2 Over the last decade, several work groups have convened to generate a standardized definition and diagnostic approach to suspected PJI.3-6 However, discrimination between infected and aseptic failed total joint replacements can be difficult in some cases, because there is no ‘gold standard’ diagnostic test or protocol to accurately diagnose infection in a timely fashion.7

Diagnosis and treatment of PJI is very complex, challenging, and often delayed. Many novel serum and synovial biomarkers, such as CD14, TREM-1, and TLR2, have shown potential in the diagnosis of PJI.8 However, marker detection techniques are not readily available in many hospitals, and conflicts exist between different studies, making the test results difficult to interpret. It is interesting to note these cytokines are upstream of the inflammatory pathway, and will eventually trigger the expression of the cytokine interleukin-6 (IL-6) under septic conditions.9 IL-6 is a pleiotropic cytokine produced by a variety of cells including monocytes and macrophages to stimulate the immune response, and is one of the most important fever and acute response mediators. It can be strongly up-regulated during septic inflammation.10 One previous study has revealed the significance of both serum and synovial IL-6 in distinguishing between infected and aseptic failed total joint replacements.11 However, studies that describe the benefits of IL-6 tests were heterogeneous in their study designs, and their clinical applicability was limited because of small sample sizes, with poorly defined diagnostic threshold in differentiation between acute and chronic PJI. Also, the assays are not readily available in some laboratories.

In this study, we sought to: 1) explore whether serum IL-6 combined with synovial IL-6 measurement can improve the accuracy of PJI diagnosis; and 2) establish the cut-off values for diagnosing chronic PJI based on serum and synovial IL-6.

Methods

From January 2018 to August 2019, we prospectively enrolled patients who were scheduled to have a revision surgery for indications of chronic infection of knee and hip arthroplasties or aseptic loosening of an implant. The patients were divided into two groups, ‘aseptic revision’ and ‘infection’, based on the 2013 Musculoskeletal Infection Society (MSIS) criteria for the diagnosis of PJI.12 Aseptic revision cases were defined as cases undergoing single-stage revision for a diagnosis other than infection (loosening, wear, instability, malalignment, adverse local tissue reactions, or other aseptic causes).12 A postoperative infection was considered ‘chronic’ when PJI symptoms occurred for more than six weeks after implantation.13,14 This study was approved by the institutional ethics board and patients signed an informed consent form prior to their enrolment in the study.

To rule out interference with other inflammatory markers, patients with the following conditions were excluded: inflammatory arthritis such as rheumatoid arthritis and gout; infectious disease such as pneumonia and urinary tract infection; malignancy; and patients with recent antibiotic use (less than two weeks).

We included a total of 93 patients into our prospective cohort study (there were originally 101 cases, but eight cases were excluded because of ‘dry tap’), among which 37 patients met MSIS criteria for chronic PJI. The patients’ demographics and details were shown in Table I. We recorded the patients’ following baseline data: age, sex, body mass index (BMI), the involved joint, and time since prosthesis implantation. Blood samples were taken from the cubital vein on admission and analyzed for serum IL-6, ESR, and CRP. Synovial fluid was obtained before revision surgery for synovial fluid IL-6 (SF IL-6), percentage of polymorphonuclear neutrophils (PMN%) analysis, synovial white blood cell count, and cultures. During the revision arthroplasty, we obtained at least three tissue samples from the patients for microbiological culture. Those tissue samples were cultured for 24 to 48 hours (standard culture) and 14 days (prolonged culture). Biochemical assays were performed at the biochemistry laboratory of the biology technical platform. All those samples including blood, synovial fluid, and tissue were separated into two groups: group I, patients with PJI diagnosed by MSIS criteria; and group II, patients with aseptic loosening of prothesis.

Table I.

Demographic data for the study population. Variables are expressed as means (SDs) or absolute numbers and percentages.

Characteristic Aseptic revision (n = 56) Infection (n = 37) p-value
Mean age, yrs (SD) 72.15 (6.54) 74.57 (6.01) 0.079*
Mean weight, kg (SD) 60.32 (12.79) 60.02 (11.14) 0.909*
Mean height, cm (SD) 161.21 (7.87) 161.70 (8.12) 0.773*
Mean BMI, kg/m2 (SD) 23.22 (4.66) 22.99 (4.12) 0.811*
Sex, n (%) 0.513
Male 33 (58.93) 25 (67.57)
Female 23 (41.07) 12 (32.42)
Joint type, n (%) 0.403
Knee 25 (44.64) 20 (54.05)
Hip 31 (55.36) 17 (49.95)
Mean timeframe, yrs (SD) 9.61 (2.31) 2.64 (0.96) < 0.001*
  1. *

    Independent-samples t-test.

  1. Fisher’s exact test.

  1. Statistically significant.

  1. BMI, body mass index

Sample determination

Synovial fluid (1 ml to 2 ml) and serum samples were obtained soon after admission. The samples were centrifuged at 2,000 rpm for ten minutes within two hours after collection to remove all cellular and particulate content. The levels of IL-6 in the synovial fluid and serum were determined by using the IMMUNOLITE 1000 Immunoassay System (SIEMENS Healthcare, Erlangen, Germany). The CRP was tested using a particle-enhanced turbidimetric immunoassay with a HITACHI 7600 Series Automatic Biochemical Analyzer (Hitachi, Tokyo, Japan) and diagnostic kit (DiaSys Diagnostic Systems GmbH, Shanghai, China).

Statistical analysis

The data are presented as medians and interquartile ranges (IQRs). The results of the diagnostic tests were compared between the groups using an independent-samples t-test. Receiver operating characteristic (ROC) curves were created for IL-6 and PMN% in the synovial fluid and serum; CRP and ESR were used to establish optimal cut-off values as a diagnostic of PJI determined using Youden’s J statistic. They also allowed the calculation of sensitivity, specificity, and area under the curve (AUC) with MedCalc 13.2.2 Software (MedCalc Software bv, Ostend, Belgium). The SPSS software version 24.0 for Windows (IBM, Armonk, New York, USA) was used for statistical analysis. A p-value less than 0.05 was considered statistically significant.

Results

We included a total of 93 patients into our prospective cohort study (there were originally 101 cases, but eight cases were excluded because of ‘dry tap’), among which 37 patients met MSIS criteria for chronic PJI. The patients’ demographics and details are shown in Table I. Although uneven in number, there were no differences regarding age (p = 0.079, independent-samples t-test), sex (p = 0.513, Fisher’s exact test), or joint distribution (p = 0.403, Fisher’s exact test) between the two groups. Mean time since prosthesis implantation was 9.61 years (SD 2.313) in the group with aseptic revision and 2.64 years (SD 0.965) in the group with infection (p < 0.01, independent-samples t-test). The rate of positive cultures for PJI in the cohort was 89.2% (33 of 37).

IL-6 in the synovial fluid and serum, as well as synovial PMN% and serum CRP and ESR levels, were significantly higher in the infection group compared to the aseptic revision group. The mean concentration of IL-6 in the synovial fluid for the infection group was 3,637 pg/ml and was significantly higher (p < 0.001, Mann-Whitney U test) than the aseptic revision group with a mean concentration of 307.15 pg/ml. The mean serum IL-6 concentration was 11.4 pg/ml in the infection group compared with 3.2 pg/ml in the aseptic revision group (p < 0.001, Mann-Whitney U test). The median (IQR) level of SF PMN% was 89.21% (72.51% to 91.65%) in the infection group compared with 55.71% (50.66% to 67.91%) in the aseptic revision group (p < 0.001, Mann-Whitney U test. The median serum ESR and CRP levels were 35 mm/hr and 19 mg/l, respectively, in the PJI group, and were also significantly higher than the aseptic revision group with 21 mm/hr (p = 0.038, Mann-Whitney U test) and 13.18 mg/l (p < 0.001, Mann-Whitney U test) for ESR and CRP, respectively.

Synovial fluid IL-6 and PMN% discriminated good differentiation between groups of infection and aseptic revision with AUC of 0.982 (95% CI 0.929 to 0.998) and 0.938 (95% CI 0.832 to 0.987), respectively. The AUCs of serum IL-6, ESR, and CRP were 0.931 (95% CI 0.858 to 0.973), 0.627 (95% CI 0.521 to 0.725), and 0.711 (95% CI 0.608 to 0.801), respectively (Figure 1).

Fig. 1 
          Receiver operating characteristic curves (ROCs). ROCs with the corresponding area under the curve (AUC) of various inflammatory markers. IL-6, interleukin-6; PMN%, percentage of polymorphonuclear neutrophils; SF, synovial fluid.

Fig. 1

Receiver operating characteristic curves (ROCs). ROCs with the corresponding area under the curve (AUC) of various inflammatory markers. IL-6, interleukin-6; PMN%, percentage of polymorphonuclear neutrophils; SF, synovial fluid.

As shown in Table II, the CRP level (10 mg/l) demonstrated a mean sensitivity of 94.59% (95% CI 81.8% to 99.3%) and a mean specificity of 35.71% (95% CI 81.8% to 49.6%). The ESR level (30 mm/h) demonstrated a mean sensitivity of 54.05% (95% CI 36.9% to 70.5%) and a mean specificity of 58.93% (95% CI 45.0% to 71.9%). The optimal serum IL-6 cut-off value was calculated at 6.7 pg/ml, with sensitivity, specificity, and negative predictive value (NPV) of 97.30% (95% CI 85.8% to 99.9%), 76.79% (95% CI 63.6% to 87.0%), and 97.7%, respectively. The SF PMN% at level of 70.03% demonstrated a mean sensitivity of 89.19% (95% CI 74.6% to 97.0%) and a mean specificity of 89.19% (95% CI 71.7% to 92.4%) for detecting chronic PJI. The optimal cut-off value of SF IL-6 with maximal sensitivity (94.59%) and specificity (92.86%) to discriminate aseptic failure from infection was 1,855.36 pg/ml, which produced an AUC of 0.982 (95% CI 0.929 to 0.998).

Table II.

Sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of inflammatory markers.

Parameter ESR CRP Serum IL-6 SF PMN% SF IL-6 Serum IL-6 + SF IL-6
AUC (95% CI) 0.627 (0.521 to 0.725) 0.711 (0.608 to 0.801) 0.931 (0.858 to 0.973) 0.897 (0.816 to 0.950) 0.982 (0.929 to 0.998) N/A
Cut-off level 30 mm/hr 10 mg/l 6.70 pg/ml 70.03% 1,855.36 pg/ml Serum IL-6 > 6.70 pg/ml + SF IL-6 > 1,855.36 pg/ml
Sensitivity, % (95% CI) 54.05 (36.9 to 70.5) 94.59 (81.8 to 99.3) 97.30 (85.8 to 99.9) 89.19 (74.6 to 97.0) 94.59 (81.8 to 99.3) 91.89 (76.9 to 97.9)
Specificity, % (95% CI) 58.93 (45.0 to 71.9) 35.71 (81.8 to 49.6) 76.79 (63.6 to 87.0) 83.93 (71.7 to 92.4) 92.86 (82.7 to 98.0) 100 (92.0 to 100)
PPV, % 46.50 49.30 73.50 78.6 89.70 100
NPV, % 67.40 90.90 97.70 92.2 96.30 94.92
Accuracy, % 56.99 59.14 84.95 86.0 93.55 96.77
  1. AUC, area under the curve; CI, confidence interval; IL-6, interleukin-6; N/A, not applicable; NPV, negative predictive value; PMN%, percentage of polymorphonuclear cells; PPV, positive predictive value; SF, synovial fluid.

The accuracy of diagnosis for combination of serum IL-6 and SF IL-6 was 96.77%, higher than using the SF IL-6 or serum IL-6 alone (Table II).

Discussion

Chronic encapsulated infections, low-grade infections, or infections with a fistula may result in less intense systemic reactions and are sometimes associated with normal laboratory markers.15,16 The accurate diagnosis of chronic PJI is challenging, as the clinical symptoms often resemble those of aseptic loosening, with non-specific pain and swelling of the joint often similar to that of aseptic failure.17,18 However, establishing an accurate and timely diagnosis of PJI is a key step toward implementing an effective treatment, as different protocols and surgical interventions are associated with survival of implants, as well as medical costs.19 The aim of this study was to define the diagnostic utility of combined synovial fluid and serum IL-6 levels as a potential screening marker for chronic PJI. The results of this study suggest that the combination of the two biomarkers improves sensitivity and specificity in differentiating between chronic PJI and aseptic failure, and with better diagnostic accuracy than using each biomarker alone.

In recent years, many studies have made efforts to improve the diagnostic accuracy of PJI, such as laboratory test of inflammatory biomarkers, sonication of implants, molecular techniques, and analysis of circulating cytokines.20-23 Some novel detection methods have greatly improved the accuracy of PJI diagnosis. Pathogens causing PJI in culture-negative samples of synovial fluid could be identified by 16S ribosomal DNA (rDNA) test and next-generation sequencing;24,25 however, interpreting the test results is challenging, and the cost-effectiveness and operability of those techniques in most hospitals must be considered. Efforts to identify more accurate markers of PJI have been put into targeting synovial fluid. Because serum markers may be confounded by a concomitant acute or chronic inflammatory state from other organs and systems, assessments of local markers in the affected joints have casted some light on the diagnosis of PJI.26 Deirmengian et al27 identified several fluid biomarkers, including IL-1β, IL-1, IL-6, IL-8, granulocyte colony-stimulating factor (G-CSF), tumour necrosis factor alpha (TNF-α), interferon gamma (IFN-γ), α-defensin, and β-defensin, and suggested that synovial fluid IL-1 and IL-6 levels exhibited ideal sensitivity, specificity, and accuracy for diagnosing PJI. The cytokine IL-6 is a small signalling glycoprotein (molecular weight: 21 KD to 30 KD; 212 amino acids with variable glycosylation sites) first identified and characterized as an important signalling molecule in the immune system, which plays a critical role especially in the induction of CRP and fibrinogen synthesis in the liver during the course of bacterial infection.28,29

In this study, we measured serum and synovial fluid IL-6 levels in a case-controlled study of 93 participants to explore the value of combined IL-6 levels in both serum and synovial fluid in differentiating between PJI and aseptic loosening, and found that the integration has high accuracy in identifying PJI (84.95% vs 93.55%). In recent years, several studies showed that synovial α-defensin was more sensitive and specific for diagnosis of hip and knee PJI and outperformed other serum and synovial fluid biomarkers. A sensitivity of 100% and a specificity of 95% for hip and knee PJI were demonstrated in a study performed by Bingham et al.30 However, this test is not readily available in many hospitals and is expensive (USD $760 per test).31 Our test results showed that the combined quantification of serum and synovial fluid IL-6 level is probably also a promising and more economical (USD $20.27 per test) solution that would help with the PJI diagnosis.

A prospective, case-controlled study suggested that serum IL-6 was a valuable and even more accurate marker than either the ESR or CRP levels for the detection of PJI.32 As reported in a previous meta-analysis that assessed the findings of three studies, the pooled sensitivity and specificity of serum IL-6 were 0.97 and 0.91, respectively, for PJI detection.33 A systematic review carried out in 2018, exploring the diagnostic accuracy of serum, synovial, and tissue testing for chronic PJI, demonstrated that serum IL-6 had the appropriate diagnostic value with a sensitivity of 0.875, despite the excellent specificity (0.971) of synovial IL-6.34 In this study, the AUC for IL-6 was 0.931 (95% CI 0.858 to 0.973), and showed excellent sensitivity of 0.973. The consistency of these results once again confirmed that IL-6 is one of the best serum biomarkers for chronic PJI detection, and serum IL-6 assessment should be included as a regular test for patients with prosthetic failure.

Most recently, Gollwitzer et al35 assessed the diagnostic efficacy of synovial fluid IL-6 analysis in identifying staphylococcal hip and knee PJI using cytometric bead arrays, and it was found that synovial fluid IL-6 analysis improved diagnostic accuracy. Xie et al36 also indicated synovial fluid IL-6 level assay had higher diagnostic value than serum IL-6 level for detecting PJI, with an AUC of 0.96, a sensitivity of 91%, and a specificity of 90% using a cut-off value of 2,300 pg/ml. These results were similar to what we have found in our current study, which showed that SF IL-6 had a mean sensitivity of 94.59% (95% CI 81.8% to 99.3%), a specificity of 92.86% (95% CI 82.7% to 98.0%), and an AUC of 0.982 (95% CI 0.929 to0.998) at the cut-off value of 1,855.36 pg/ml in differentiating chronic PJI from prosthesis aseptic loosening. However, there are differences between our findings and those of other centres. In a prospectively controlled study, Wimmer et al37 performed QuickLine IL-6 lateral flow immunoassay on 26 included patients and indicated IL-6 concentrations > 10,000 pg/ml in synovial fluid for predicting a PJI. Similarly, Lenski et al38 analyzed synovial fluid IL-6 in 31 PJI patients, proved that the optimal threshold for the diagnosis of PJI by SF IL-6 was 30,750 pg/ml, and deduced that when SF IL-6 < 10,000 pg/ml, the possibility of diagnosis of PJI could be excluded. The cut-off value for synovial IL-6 to detect PJI varies greatly between our studies, for a number of possible reasons. First, the included population is very different, and patients with chronic PJI have less obvious symptoms and a mild inflammatory response. Second, timing of sampling is important. The cytokines are under neuroendocrine control and thus have a diurnal rhythm, and the release of IL-6 peaks early in the morning.39 In our study, specimens were collected early in the morning. Third, proper sample handling and storage are critical for reliable measurement of circulating cytokines. A delay of sample processing containing cellular components will lead to overexpression of IL-6, and cytokine binding to or release from their soluble receptors can result in an under- or overestimation during spiking assays.40 In this study we kept our samples at room temperature, and the samples were centrifuged within one hour and tested within two hours.

The disadvantages of serum tests are that they are non-specific and several biomarkers may increase in response to inflammatory reactions associated with other systems or organs such as the urinary tract or lungs. Because of that, a synovial fluid test for infection appears to be more appealing. Our controlled study used a combination of IL-6 in serum and synovial fluid to improve the diagnostic accuracy of chronic PJI and, to our knowledge, this is the first study to define the synovial fluid IL-6 threshold for chronic PJI.

The limitations of this study deserve to be mentioned. Firstly, there is no gold standard for the diagnosis of PJI following total joint replacements. We used the 2013 MSIS criteria for chronic PJI as the diagnostic standard because of its wide acceptability, and some of the patients who were grouped into the aseptic revision group might have had undetected chronic PJI. But this is a challenging situation that perhaps all studies evaluating a diagnostic test for PJI infection would face. Secondly, the sample size of our study was small for a study investigating arthroplasties. But since this is a preliminary test that showed promising results, a larger prospective multicentre study can be carried out to further validate the test results. Finally, patients with recent antibiotic use were excluded from this study for the elimination of confounding factors. However, this could create a precondition of the test which is different from real-world practice, thus limiting the generalizability of this study’s results.

In conclusion, diagnosis of infection in patients undergoing revision total joint replacement remains a challenge due to the low virulence of the most common infecting organisms. This study demonstrates the potential clinical benefit of performing combined synovial fluid and serum IL-6 assays preoperatively for distinguishing chronic PJI from aseptic loosening, and the cut-off values of synovial fluid and serum IL-6 were 1,855.36 pg/ml and 6.7 pg/ml, respectively. During this study the conjoint use of serum and synovial fluid IL-6 (both above cut-off value) appears to have outstripped some current standards of testing, and further validation of the results is critical to the clinical application.


Correspondence should be sent to Ning Hu. E-mail:

N. Hu and W. Huang contributed equally to this work.


References

1. Gehrke T , Alijanipour P , Parvizi J . The management of an infected total knee arthroplasty . Bone Joint J . 2015 ; 97-B ( 10 Suppl A ): 20 29 . Crossref PubMed Google Scholar

2. Tsang STJ , Gwynne PJ , Gallagher MP , Simpson AHRW . The biofilm eradication activity of acetic acid in the management of periprosthetic joint infection . Bone Joint Res . 2018 ; 7 ( 8 ): 517 523 . Crossref PubMed Google Scholar

3. Della Valle C , Parvizi J , Bauer TW , et al. American Academy of orthopaedic surgeons clinical practice guideline on: the diagnosis of periprosthetic joint infections of the hip and knee . J Bone Joint Surg Am . 2011 ; 93-A : 1355 1357 . Crossref PubMed Google Scholar

4. Parvizi J , Gehrke T , Chen AF . Proceedings of the International consensus on periprosthetic joint infection . Bone Joint J . 2013 ; 95-B ( 11 ): 1450 1452 . Crossref PubMed Google Scholar

5. 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

6. 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

7. Ronde-Oustau C , Diesinger Y , Jenny JY , et al. Diagnostic accuracy of intra-articular C-reactive protein assay in periprosthetic knee joint infection – a preliminary study . Orthop Traumatol Surg Res . 2014 ; 100 ( 2 ): 221 224 . Google Scholar

8. Marazzi MG , Randelli F , Brioschi M , et al. Presepsin: a potential biomarker of PJI? A comparative analysis with known and new infection biomarkers . Int J Immunopathol Pharmacol . 2018 ; 31 : 394632017749356 . Crossref PubMed Google Scholar

9. Pelham CJ , Agrawal DK . Emerging roles for triggering receptor expressed on myeloid cells receptor family signaling in inflammatory diseases . Expert Rev Clin Immunol . 2014 ; 10 ( 2 ): 243 256 . Crossref PubMed Google Scholar

10. Mihara M , Hashizume M , Yoshida H , et al. IL-6/IL-6 receptor system and its role in physiological and pathological conditions . Clin Sci . 2012 ; 122 ( 4 ): 143 159 . Crossref PubMed Google Scholar

11. Randau TM , Friedrich MJ , Wimmer MD , et al. Interleukin-6 in serum and in synovial fluid enhances the differentiation between periprosthetic joint infection and aseptic loosening . PLoS One . 2014 ; 9 ( 2 ): e89045 . Crossref PubMed Google Scholar

12. Parvizi J , Gehrke T , International Consensus Group on Periprosthetic Joint Infection . Definition of periprosthetic joint infection . J Arthroplasty . 2014 ; 29 ( 7 ): 1331 . Crossref PubMed Google Scholar

13. Qin L , Li F , Gong X , et al. Combined measurement of D-dimer and C-reactive protein levels: highly accurate for diagnosing chronic periprosthetic joint infection . J Arthroplasty . 2020 ; 35 ( 1 ): 229 234 . Crossref PubMed Google Scholar

14. Yi PH , Cross MB , Moric M , Sporer SM , Berger RA , Della Valle CJ . The 2013 Frank Stinchfield Award: diagnosis of infection in the early postoperative period after total hip arthroplasty . Clin Orthop Relat Res . 2014 ; 472 ( 2 ): 424 429 . Crossref PubMed Google Scholar

15. Sanzen L , Sundberg M . Periprosthetic low-grade hip infections. erythrocyte sedimentation rate and C-reactive protein in 23 cases . Acta Orthop Scand . 1997 ; 68 ( 5 ): 461 465 . Crossref PubMed Google Scholar

16. van den Kieboom J , Bosch P , Plate JDJ , et al. Diagnostic accuracy of serum inflammatory markers in late fracture-related infection: a systematic review and meta-analysis . Bone Joint J . 2018 ; 100-B ( 12 ): 1542 1550 . Crossref PubMed Google Scholar

17. Hackett DJ , Rothenberg AC , Chen AF , et al. The economic significance of orthopaedic infections . J Am Acad Orthop Surg . 2015 ; 23 ( Suppl ): S1 S7 . Crossref PubMed Google Scholar

18. Akgun D , Muller 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

19. Wetters NG , Berend KR , Lombardi AV , Morris MJ , Tucker TL , Della Valle CJ . Leukocyte esterase reagent strips for the rapid diagnosis of periprosthetic joint infection . J Arthroplasty . 2012 ; 27 ( 8 Suppl ): 8 11 . Crossref PubMed Google Scholar

20. Bergin PF , Doppelt JD , Hamilton WG , et al. Detection of periprosthetic infections with use of ribosomal RNA-based polymerase chain reaction . J Bone Joint Surg Am . 2010 ; 92-A ( 3 ): 654 663 . Crossref PubMed Google Scholar

21. Kuo F-C , Lu Y-D , Wu C-T , You H-L , Lee G-B , Lee MS . Comparison of molecular diagnosis with serum markers and synovial fluid analysis in patients with prosthetic joint infection . Bone Joint J . 2018 ; 100-B ( 10 ): 1345 1351 . Crossref PubMed Google Scholar

22. Rothenberg AC , Wilson AE , Hayes JP , O’Malley MJ , Klatt BA . Sonication of arthroplasty implants improves accuracy of periprosthetic joint infection cultures . Clin Orthop Relat Res . 2017 ; 475 ( 7 ): 1827 1836 . Crossref PubMed Google Scholar

23. Saleh A , George J , Faour M , Klika AK , Higuera CA . Serum biomarkers in periprosthetic joint infections . Bone Joint Res . 2018 ; 7 ( 1 ): 85 93 . Crossref PubMed Google Scholar

24. Haddad FS . Next generation sequencing: is this the moment? Bone Joint J . 2018 ; 100-B ( 2 ): 125 126 . Crossref PubMed Google Scholar

25. Janz V , Schoon J , Morgenstern C , et al. Rapid detection of periprosthetic joint infection using a combination of 16S rDNA polymerase chain reaction and lateral flow immunoassay: a pilot study . Bone Joint Res . 2018 ; 7 ( 1 ): 12 19 . Crossref PubMed Google Scholar

26. Frangiamore SJ , Saleh A , Kovac MF , et al. Synovial fluid interleukin-6 as a predictor of periprosthetic shoulder infection . J Bone Joint Surg Am . 2015 ; 97-A ( 1 ): 63 70 . Crossref PubMed Google Scholar

27. Deirmengian C , Hallab N , Tarabishy A , et al. Synovial fluid biomarkers for periprosthetic infection . Clin Orthop Relat Res . 2010 ; 468 ( 8 ): 2017 2023 . Crossref PubMed Google Scholar

28. Buttaro MA , Tanoira I , Comba F , Piccaluga F . Combining C-reactive protein and interleukin-6 may be useful to detect periprosthetic hip infection . Clin Orthop Relat Res . 2010 ; 468 ( 12 ): 3263 3267 . Crossref PubMed Google Scholar

29. Gruol DL . IL-6 regulation of synaptic function in the CNS . Neuropharmacology . 2015 ; 96 ( Pt A ): 42 54 . Crossref PubMed Google Scholar

30. Bingham J , Clarke H , Spangehl M , Schwartz A , Beauchamp C , Goldberg B . The alpha defensin-1 biomarker assay can be used to evaluate the potentially infected total joint arthroplasty . Clin Orthop Relat Res . 2014 ; 472 ( 12 ): 4006 4009 . Crossref PubMed Google Scholar

31. Wyatt MC , Beswick AD , Kunutsor SK , Wilson MJ , Whitehouse MR , Blom AW . The alpha-defensin immunoassay and leukocyte esterase colorimetric strip test for the diagnosis of periprosthetic infection . J Bone Joint Surg . 2016 ; 98 ( 12 ): 992 1000 . Crossref PubMed Google Scholar

32. Di Cesare PE , Chang E , Preston CF , Liu C-ju . Serum interleukin-6 as a marker of periprosthetic infection following total hip and knee arthroplasty . J Bone Joint Surg Am . 2005 ; 87-A ( 9 ): 1921 1927 . Crossref PubMed Google Scholar

33. Berbari E , Mabry T , Tsaras G , et al. Inflammatory blood laboratory levels as markers of prosthetic joint infection: a systematic review and meta-analysis . J Bone Joint Surg Am . 2010 ; 92-A ( 11 ): 2102 2109 . Crossref PubMed Google Scholar

34. Gallo J , Svoboda M , Zapletalova J , Proskova J , Juranova J . Serum IL-6 in combination with synovial IL-6/CRP shows excellent diagnostic power to detect hip and knee prosthetic joint infection . PLoS One . 2018 ; 13 ( 6 ): e0199226 . Crossref PubMed Google Scholar

35. Gollwitzer H , Dombrowski Y , Prodinger PM , et al. Antimicrobial peptides and proinflammatory cytokines in periprosthetic joint infection . J Bone Joint Surg Am . 2013 ; 95-A ( 7 ): 644 651 . Crossref PubMed Google Scholar

36. Xie K , Dai K , Qu X , Yan M . Serum and synovial fluid interleukin-6 for the diagnosis of periprosthetic joint infection . Sci Rep . 2017 ; 7 ( 1 ): 1496 . Crossref PubMed Google Scholar

37. Wimmer MD , Ploeger MM , Friedrich MJ , et al. The QuickLine IL-6 lateral flow immunoassay improves the rapid intraoperative diagnosis of suspected periprosthetic joint infections . Technol Health Care . 2016 ; 24 ( 6 ): 927 932 . Crossref PubMed Google Scholar

38. Lenski M , Scherer MA . Synovial IL-6 as inflammatory marker in periprosthetic joint infections . J Arthroplasty . 2014 ; 29 ( 6 ): 1105 1109 . Crossref PubMed Google Scholar

39. Lissoni P , Rovelli F , Brivio F , Brivio O , Fumagalli L . Circadian secretions of IL-2, IL-12, IL-6 and IL-10 in relation to the light/dark rhythm of the pineal hormone melatonin in healthy humans . Nat Immun . 1998 ; 16 ( 1 ): 1 5 . Crossref PubMed Google Scholar

40. Duvigneau JC , Hartl RT , Teinfalt M , Gemeiner M . Delay in processing porcine whole blood affects cytokine expression . J Immunol Methods . 2003 ; 272 ( 1-2 ): 11 21 . Crossref PubMed Google Scholar

Author contributions

L. Qin: Collected and analyzed the data, Wrote the manuscript.

X. Li: Carried out the statistical analysis, Reviewed the manuscript.

J. Wang: Collected and analyzed the data.

X. Gong: Collected and collated the data.

N. Hu: Conceptualized the study, Carried out the statistical analysis, Reviewed the manuscript, Authored the original trial data.

W. Huang: Conceptualized the study, Carried out the statistical analysis, Reviewed the manuscript, Authored the original trial data.

N. Hu and W. Huang contributed equally to this work.

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.

Acknowledgements

Thanks for the technical support for this work provided by The Center for

Clinical Molecular Medical Detection of Chongqing.

© 2020 Author(s) et al. 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/.