Skip to main content
Download PDF

Culture of periprosthetic tissue in blood culture bottles for diagnosing periprosthetic joint infection

BMC Musculoskeletal Disorders volume 20, Article number: 299 (2019) Cite this article

Abstract

Background

The purpose of this meta-analysis was to evaluate the diagnostic accuracy of periprosthetic tissue culture in blood culture bottles (BCB) for periprosthetic joint infection (PJI).

Methods

PubMed, Web of Science, and Embase were systematically searched for eligible studies evaluating the diagnostic performance of periprosthetic tissue culture in BCB for the diagnosis of PJI. The pooled data were analysed by Meta-Disc software.

Results

Four studies with a total of 1071 patients were included in this meta-analysis. The summarized estimates showed that periprosthetic tissue culture in BCB may be of great value in PJI diagnosis with a pooled sensitivity of 0.70 (95% confidence interval [CI]; 0.66–0.75), specificity of 0.97 (95% CI: 0.95–0.98); positive likelihood ratio (PLR) of 20.98 (95% CI: 11.52–38.2); negative likelihood ratio (NLR) of 0.28 (95% CI: 0.20–0.40); and diagnostic odds ratio (DOR) of 92.26 (95% CI: 43.93–193.78).

Conclusions

The present meta-analysis showed that periprosthetic tissue in BCB improves the results of microorganism cultures, with a sensitivity of 70% and a specificity of 97%. However, more large-scale, well-performed studies are needed to verify our findings.

Peer Review reports

Background

Periprosthetic joint infection (PJI), a severe complication after joint arthroplasty, places a heavy burden on patients and health care resources, including increased mortality, prolonged hospital stays and high medical costs [1]. Although the incidence of periprosthetic hip or knee infection is commonly less than 2% [2, 3]. With the increasing number of arthroplasty procedures, the number of patients who suffer PJI has also increased in relative terms [4]. The diagnosis of PJI remains a challenge, as the yield of conventional microbiological culture methods are less than desired. Thus, using various combinations of diagnostic methods has a supplementary effect and can increase the diagnostic accuracy [5].

Periprosthetic tissue culture is a common method for the diagnosis of PJI, which is included in the diagnostic criteria of the definition of the Infectious Diseases Society of America (IDSA), the Musculoskeletal Infection Society (MSIS) and the European Bone and Joint Infection Society (EBJIS) [6,7,8]. Previous studies show that the culture method of synovial fluid or sonication fluid in BCB could improve diagnostic sensitivity [9,10,11,12]. In recent years, technique of culturing periprosthetic tissue in blood culture bottles (BCB) has been reported. The procedure could be divided into two steps: 1. the intraoperative tissue is placed into the sterile container and transferred to the laboratory; 2. the periprosthetic tissue was homogenized in the biosafety laminar flow hood and inoculated into aerobic and anaerobic BCB [13, 14]. However, it is unknown whether periprosthetic tissue culture in BCB can improve the diagnostic accuracy of PJI. Therefore, we conducted this meta-analysis to evaluate periprosthetic tissue culture in BCB for diagnosing PJI, to provide further evidence for its clinical use.

Methods

Search strategy

We searched the electronic databases of PubMed, Web of Science, and Embase for articles published in English until 31 October 2018 using the following medical subject headings (MeSH) or keywords: “periprosthetic joint infection OR prosthetic joint infection OR orthopaedic implant infection” “tissue OR periprosthetic tissue” “blood culture vials OR blood culture bottles OR blood culture system.” The reference lists of the included studies and previous reviews, systematic reviews and meta-analyses were also manually searched to identify potential studies until no additional articles could be found.

Inclusion criteria

Articles were selected according to the following inclusion criteria: (1) diagnosis of PJI based on a definition, including clinical signs of infection, presence of sinus tract or purulence around the prosthesis, histopathological examination reporting inflammation or significantly positive culture from synovial fluid, periprosthetic tissue samples or sonication fluid [13, 14]; (2) the number of true-positive (TP), true-negative (TN), false-positive (FP), and false-negative (FN) values were clearly reflected as well as computed results of sensitivity and specificity, as the article described; (3) a sample size of more than 15; and (4) published in English.

Exclusion criteria

Exclusion criteria were as follows: (1) review, meta-analysis, editorials, comments and letters; (2) not related to periprosthetic tissue culture in BCB; and (3) data of diagnostic values are not available or derivable.

Data extraction

We constructed a data extraction sheet based on the Cochrane Consumers and Communication Review Group data extraction template. The following information was extracted from each study: first author, year of publication, country, enrolment period, number of total cases and infected cases, location, whether to use antibiotics, diagnostic criteria or method, number of tissue samples, antibiotic treatment before sample collection, incubation time, sensitivity and specificity of tissue culture. Furthermore, we contacted the corresponding authors for the missing information, if the above strategy failed. Study quality was assessed according to QUADS-2 guidelines [15].

Statistical analysis

We used the bivariate random effects regression model to calculate the pooled sensitivity, specificity, PLR, NLR, and DOR [16]. We also established a summary receiver-operating characteristic (SROC) curve calculated under the curve (AUC) and 95% confidence intervals (95% CIs) to adjust for the heterogeneity in positivity criteria [17]. Heterogeneity between these studies was tested using Cochran’s Q test and Higgin’s I-squared statistic, in which I2 > 50% or P < 0.10 were considered to indicate heterogeneity [18]. Publication bias was assessed using Deeks’ funnel plot. A P value less than 0.05 was judged as statistically significant, except where otherwise specified. For the analysis of diagnostic value of periprosthetic tissue BCB, all statistical analyses were performed using Meta-Disc software (version 1.4, Unit of Clinical Biostatistics team, Madrid, Spain).

Results

Literature search results

The initial search yielded a total of 479 articles, and 386 were excluded because of multiple indexing in different databases. After reviewing the abstract and full article, 75 and 14 were excluded because they were unrelated with the topic studied or did not provide available data, respectively. Finally, 4 articles [1, 13, 14, 19] met the inclusion criteria and were included in this meta-analysis. A flowchart of the study search strategy is shown in Fig. 1.

Fig. 1
figure 1

Flowchart of the study inclusion process

Full size image

Characteristics of eligible studies and quality of the included studies

The primary characteristics of the included studies are presented in Table 1. These studies were published between 2011 and 2018. The sample size ranged from 141 to 369 with a median of 268 patients per study. Among the studies, two were conducted in the USA [1, 13] and two in the UK [14, 19]. Four studies were prospective in design [1, 13, 14, 19]. The prosthetic joint type included hip, knee, shoulder, ankle and elbow arthroplasties. The use of antibiotics prior to surgery was reported in three studies. The assessment of each study was conducted according to the QUADAS-2 guidelines, and results indicated that these included studies were of high quality (Fig. 2).

Table 1 Baseline characteristics of patients in included studies
Full size table
Fig. 2
figure 2

Quality of included studies according to QUADAS-2 guidelines

Full size image

Diagnostic accuracy of periprosthetic tissue culture in blood culture bottles of periprosthetic joint infection

All of the included studies reported the data of diagnostic accuracy of periprosthetic tissue culture in BCB. Because the test of heterogeneity was significant for sensitivity (I2 = 81.2%) and specificity (I2 = 61.1%), a random-effects model was used. Pooled results showed that the estimates of sensitivity, specificity, PLR, NLR, and DOR for the detection of PJI using periprosthetic tissue culture in BCB were 0.70 (95% CI: 0.66–0.75), 0.97 (95% CI: 0.95–0.98), 20.98 (95% CI: 11.52–38.20), 0.28 (95% CI: 0.20–0.40), and 92.26 (95% CI: 43.93–193.78), respectively (Figs. 3, 4, 5, 6 and 7). The SROC plot showed the sensitivity and specificity, as well as the 95% confidence intervals and prediction regions, with an AUC of 0.9537 (standard error, 0.0305) (Fig. 8).

Fig. 3
figure 3

Forest plot of sensitivity for periprosthetic tissue culture in BCB for the diagnosis of PJI

Full size image
Fig. 4
figure 4

Forest plot of specificity for periprosthetic tissue culture in BCB for the diagnosis of PJI

Full size image
Fig. 5
figure 5

Forest plots of positive likelihood ratio for periprosthetic tissue culture in BCB for the diagnosis of PJI

Full size image
Fig. 6
figure 6

Forest plots of negative likelihood ratio for periprosthetic tissue culture in BCB for the diagnosis of PJI

Full size image
Fig. 7
figure 7

Forest plots of diagnostic odds ratio for periprosthetic tissue culture in BCB for the diagnosis of PJI

Full size image
Fig. 8
figure 8

Summary receiver-operating characteristic (SROC) curve for periprosthetic tissue culture in BCB for the diagnosis of PJI. Red circles represent individual studies (see Figs. 3, 4, 5, 6, 7)

Full size image

Publication bias

Because the number of included studies was less than 10, we did not assess for publication bias.

Discussion

In the present meta-analysis, four studies were pooled to evaluate the diagnostic value of periprosthetic tissue in BCB for PJI to provide further evidence for its clinical use. Among the included studies, sensitivity ranged from 0.66 to 0.75 while specificity ranged from 0.95 to 0.98. Analysis of periprosthetic tissue can be valuable for the diagnosis of PJI. Although the histology provides a higher sensitivity than that of tissue culture [5, 20, 21], it does not isolate microorganisms. Tissue culture is a common method for the microbiological diagnosis of PJI. Recently, the new technique of periprosthetic tissue culture in BCB has been used in the clinical setting. The authors in one study found that periprosthetic tissue culture in BCB offered better culture results than traditional medium culture methods. The sensitivity of periprosthetic tissue culture in BCB (87%) is higher than direct solid media (agar plates), cooked meat broth, and fastidious anaerobic broth (39, 83, 57%, respectively) [19]. One reason for the lower sensitivity of the conventional method, may be due to the incubation period of only 5 days of these growth media. Fink and colleagues showed higher sensitivity of tissue culture inform patients with hip and knee PJI (73 and 78%, respectively) when the incubation was prolonged to 14 days [22, 23]. In another study investigating the arthroscopic tissue biopsy in hip PJI, the culture sensitivity was reported even higher (87.5%), along with a specificity of 100% [24]. In a prospective cohort study of 369 participants, the sensitivity and specificity of periprosthetic tissue culture in BCB was compared with those of standard agar (aerobic and anaerobic agar) and thioglycolate broth culture. When using IDSA criteria for diagnosis of PJI, the sensitivity of BCB was higher than that of conventional agar and broth cultures (60.7% vs. 44.4%; P = 0.003). However, when Bayesian latent class modelling (LCM) was applied, BCB was associated with a 47% improvement in sensitivity compared with that of conventional agar and broth cultures (92.1% vs. 62.6%). Notably, 51% (60 patients) of patients with PJI had received antibiotic therapy before sample collection, which may influence the sensitivity of all the aforementioned diagnostic tests [1]. However, periprosthetic tissue in BCB improved culture results in patients with previous antibiotic treatment before sample collection. This is because the resin or charcoal present in the BCB could neutralize the effects of antimicrobials, and the ability of resin to neutralize antibiotic activities yields superior results [25]. In the study performed by Yan and co-workers, 27 of 38 patients who received antimicrobial therapy within 4 weeks before surgery demonstrated a positive periprosthetic tissue culture in BCB [13]. In addition, sonication fluid cultures were positive in 29 patients.

Rapid detection of pathogens at an early stage can greatly help the outcome of subsequent treatment. A previous study using an automated BCB system showed that the microorganism could be detected faster than with the conventional method [1]. Minassian et al. showed periprosthetic tissue culture in BCB results in the growth of most microorganisms within 3 days, with aerobic cultures detecting 95% of organisms within 3 days and anaerobic cultures detecting 96% of organisms within 5 days. The authors also say that prolonged microbiological culture for 2 weeks is unnecessary when using BCB [14]. In an additional study, aerobic and anaerobic BCB were positive within the first day of incubation. The aerobic BCB detected pathogen growth more rapidly than any other cultures (anaerobic BCB; thioglycolate broth, and agar), followed by anaerobic BCB. Following 7 days of incubation, no organism was detected in aerobic BCB. The prolonging of anaerobic BCB incubation to 14 days lead to the diagnosis of an additional three PJI as well as the detection of three additional contaminants (i.e. Cutibacterium acnes). Although extending the incubation time from 7 to 14 days did not demonstrate any major changes in sensitivity and specificity, the authors support using an incubation approach of 7 days for aerobic BCB and 14 days for anaerobic BCB [1].

Bacterial culture is the key for the diagnosis of PJI, yet culture negative, false positive, or false negative results remain a challenge. The most frequently cultured microorganisms causing PJI are coagulase-negative staphylococci (30–43%), Staphylococcus aureus (12–23%), streptococci (9–10%), and enterococci (3–7%) [26]. Cutibacterium spp. is still diagnosed rarely, but requires attention in patients with nonspecific signs or symptoms [27]. Several studies have shown that periprosthetic tissue culture in BCB was able to detect slow-growing organisms such as Cutibacterium spp. and was more sensitive and rapid than normal medium. However, false positive cases caused by contamination in this meta-analysis were surprisingly rare. This observation may be explained by careful manipulation in order to minimize contamination [1, 11, 13, 14].

For the intraoperative diagnosis of PJI, the IDSA guideline suggested that ideally five or six periprosthetic tissue samples should be obtained in revision arthroplasty [6]; Peel et al. reported that with the use of the BCB technique, the greatest accuracy of diagnosis could be achieved with only three periprosthetic tissue samples (92%; 95% CI, 79 to 100%) [28]. The culture of periprosthetic tissue in BCB is not only more accurate than conventional culture methods, but also a more cost-effective way to diagnose PJI. One study result demonstrated a 60.1% reduction in mean total staff time with the adoption of periprosthetic tissue culture in BCB compared to conventional techniques (mean ± standard deviation, 30.7 ± 27.6 vs 77.0 ± 35.3 h per month, respectively; P < 0.001). The estimated annualized labour cost savings of culture using blood culture bottles was $10,876.83 (± $337.16) [29].

Although periprosthetic tissue in BCB is a valuable method in the diagnosis of PJI, 100% accuracy was not achieved, therefore, a combination of tests can be used to effectively enhance diagnostic accuracy [5]. In a study of periprosthetic tissue from the hip, knee, shoulder, and elbow, combination testing of periprosthetic tissue in BCB with sonicate fluid had the highest sensitivity without compromising specificity. Periprosthetic tissue in BCB was shown to have a similar sensitivity with sonicate fluid (66.4% vs. 73.1%, respectively). In patients with previous antimicrobial therapy, positive cultures of periprosthetic tissue in BCB was 71.1% whereas the percentage of positive cultures in sonicate fluid was 76.3% [13]. Compared with traditional tissue culture, sonication was more sensitive than tissue culture in diagnosing PJI with or without antibiotic treatment [30]. Furthermore, sonication fluid demonstrated comparable effective diagnostic method in patients with infected endoprosthetic reconstructions in treatment of bone tumors, orthopedic hardware (fracture-fixation device or spinal implant) [21, 31], and is also suitable for the diagnosis of PJI in the two-stage revision with antibiotic-loaded cement spacers [32]. Dithiothreitol (DTT) is a strong reducing agent frequently used in microbiology laboratories to liquefy specimens and was suggested for biofilm dislodgement from the implant surface. In a clinical study performed by Sambri and colleagues, the sensitivity of DTT and sonication was found to be similar (91% vs. 89%), with both demonstrating higher sensitivity levels than conventional tissue samples (79%) when using the MSIS criteria as the reference standard for defining PJI [33]. DTT not only detects the microorganism from the implant but is also useful for tissue culture in the diagnosis of bone and joint infections. In a study comparing tissue samples treated with DTT and normal saline solution in cases of orthopedic infection, DTT showed higher sensitivity and specificity than saline (sensitivity: 88.0% vs. 72.0%; specificity: 97.8% vs. 91.1%, respectively) [34]. Another study showed inferior performance of DTT compared to sonication in the diagnosis of biofilm infection [35]. The methods of sonication, DTT and periprosthetic tissue are useful intraoperative methods in the clinical diagnosis of PJI; however, periprosthetic tissue culture does not require additional hardware or devices and is a conventional technique applied in most hospitals. In patients with suspected infection and accompanying joint pain, biopsy and culture without implant removal could be performed under regional anaesthesia at an early stage [36, 37].

There were several potential limitations in this meta-analysis. First, there was no gold standard for diagnosing PJI among the included studies, which had different reference standards. Therefore, the estimates of diagnostic accuracy of a tested method would be underestimated. Second, due to the limited data, we could not conduct subgroup analysis to assess the diagnostic accuracy of periprosthetic tissue BCB in patients with previous antibiotic treatment. Whether the method of periprosthetic tissue BCB improves the result in patients who received antibiotic treatment has not been elucidated to date. Third, periprosthetic tissue culture is one of the most valuable microbiological methods to diagnose PJI. In the present study, only the periprosthetic tissue in BCB was analyzed; due to the limited data of the included studies, a comparison with conventional culture methods was not performed.

Conclusion

In conclusion, the present study showed that periprosthetic tissue culture in BCB had adequate, clinically acceptable diagnostic values for detecting PJI, with a sensitivity of 70% and a specificity of 97%. Considering the potential limitations, more large-scale, well-performed studies are needed to verify our findings, especially in combination with biofilm removal methods.

Availability of data and materials

Data was extracted from references [1, 13, 14, 19].

Abbreviations

AUC:

Area under the curve

BCB:

Blood culture bottles

CI:

Confidence interval

DOR:

Diagnostic odds ratio

DTT:

Dithiothreitol

EBJIS:

European bone and joint infection society

FN:

False-negative

FP:

False-positive

H:

Histological examination

IDSA:

Infectious Diseases Society of America

LCM:

Latent class modelling

M:

Microbiological or laboratory examination

MeSH:

Medical subject headings

MSIS:

Musculoskeletal Infection Society

NA:

Not available

NLR:

Negative likelihood ratio

P:

Presence sinus tract or purulence around the prosthesis

PJI:

Periprosthetic joint infection

PLR:

Positive likelihood ratio

SROC:

Summary receiver operating characteristic

TN:

True-negative

TP:

True-positive

References

  1. Peel TN, Dylla BL, Hughes JG, Lynch DT, Greenwood-Quaintance KE, Cheng AC, et al. Improved diagnosis of prosthetic joint infection by culturing Periprosthetic tissue specimens in blood culture bottles. MBio. 2016;7:e01776–15.

    Article  CAS  Google Scholar 

  2. Pulido L, Ghanem E, Joshi A, Purtill JJ, Parvizi J. Periprosthetic joint infection: the incidence, timing, and predisposing factors. Clin Orthop Relat Res. 2008;466:1710–5.

    Article  Google Scholar 

  3. Kurtz SM, Lau E, Schmier J, Ong KL, Zhao K, Parvizi J. Infection burden for hip and knee arthroplasty in the United States. J Arthroplast. 2008;23:984–91.

    Article  Google Scholar 

  4. Del Pozo JL, Patel R. Infection associated with prosthetic joints. N Engl J Med Mass Med Soc. 2009;361:787–94.

    Article  Google Scholar 

  5. Fernández-Sampedro M, Fariñas-Alvarez C, Garces-Zarzalejo C, Alonso-Aguirre MA, Salas-Venero C, Martínez-Martínez L, et al. Accuracy of different diagnostic tests for early, delayed and late prosthetic joint infection. BMC Infect Dis. 2017;17:592.

    Article  Google Scholar 

  6. Osmon DR, Berbari EF, Berendt AR, Lew D, Zimmerli W, Steckelberg JM, et al. Diagnosis and management of prosthetic joint infection: clinical practice guidelines by the Infectious Diseases Society of America. Clin Infect Dis. 2013;56:e1–e25.

    Article  Google Scholar 

  7. Parvizi J, Zmistowski B, Berbari EF, Bauer TW, Springer BD, Della Valle CJ, et al. New definition for periprosthetic joint infection: from the workgroup of the musculoskeletal infection society. Clin Orthop Relat Res. 2011;469:2992–4.

    Article  Google Scholar 

  8. Li C, Renz N, Trampuz A. Management of Periprosthetic Joint Infection. Hip Pelvis. 2018;30:138–46.

    Article  Google Scholar 

  9. Hughes JG, Vetter EA, Patel R, Schleck CD, Harmsen S, Turgeant LT, et al. Culture with BACTEC Peds Plus/F bottle compared with conventional methods for detection of bacteria in synovial fluid. J Clin Microbiol. 2001;39:4468–71.

    Article  CAS  Google Scholar 

  10. Janz V, Trampuz A, Perka CF, Wassilew GI. Reduced culture time and improved isolation rate through culture of sonicate fluid in blood culture bottles. Technol Health Care. 2017;25:635–40.

    Article  Google Scholar 

  11. Portillo ME, Salvadó M, Trampuz A, Siverio A, Alier A, Sorli L, et al. Improved diagnosis of orthopedic implant-associated infection by inoculation of sonication fluid into blood culture bottles. J Clin Microbiol. 2015;53:1622–7.

    Article  Google Scholar 

  12. Li C, Renz N, Thies CO, Trampuz A. Meta-analysis of sonicate fluid in blood culture bottles for diagnosing periprosthetic joint infection. J Bone Jt Infect. 2018;3:273–9.

    Article  Google Scholar 

  13. Yan Q, Karau MJ, Greenwood-Quaintance KE, Mandrekar JN, Osmon DR, Abdel MP, et al. Comparison of Diagnostic Accuracy of Periprosthetic Tissue Culture in Blood Culture Bottles to That of Prosthesis Sonication Fluid Culture for Diagnosis of Prosthetic Joint Infection (PJI) by Use of Bayesian Latent Class Modeling and IDSA PJI Criteria for Classification. J Clin Microbiol. 2018;56:e00319–18.

    Article  CAS  Google Scholar 

  14. Minassian AM, Newnham R, Kalimeris E, Bejon P, Atkins BL, Bowler ICJW. Use of an automated blood culture system (BD BACTEC™) for diagnosis of prosthetic joint infections: easy and fast. BMC Infect Dis. 2014;14:233.

    Article  Google Scholar 

  15. Whiting PF, Rutjes AWS, Westwood ME, Mallett S, Deeks JJ, Reitsma JB, et al. QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med. 2011;155:529–36.

    Article  Google Scholar 

  16. Reitsma JB, Glas AS, Rutjes AWS, Scholten RJPM, Bossuyt PM, Zwinderman AH. Bivariate analysis of sensitivity and specificity produces informative summary measures in diagnostic reviews. J Clin Epidemiol. 2005;58:982–90.

    Article  Google Scholar 

  17. Hamza TH, Arends LR, van Houwelingen HC, Stijnen T. Multivariate random effects meta-analysis of diagnostic tests with multiple thresholds. BMC Med Res Methodol. 2009;9:73.

    Article  Google Scholar 

  18. Higgins JPT, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ. 2003;327:557–60.

    Article  Google Scholar 

  19. Hughes HC, Newnham R, Athanasou N, Atkins BL, Bejon P, Bowler ICJW. Microbiological diagnosis of prosthetic joint infections: a prospective evaluation of four bacterial culture media in the routine laboratory. Clin Microbiol Infect. 2011;17:1528–30.

    Article  CAS  Google Scholar 

  20. Janz V, Wassilew GI, Hasart O, Matziolis G, Tohtz S, Perka C. Evaluation of sonicate fluid cultures in comparison to histological analysis of the periprosthetic membrane for the detection of periprosthetic joint infection. Int Orthop. 2013;37:931–6.

    Article  Google Scholar 

  21. Renz N, Cabric S, Morgenstern C, Schuetz MA, Trampuz A. Value of PCR in sonication fluid for the diagnosis of orthopedic hardware-associated infections: has the molecular era arrived? Injury. 2018;49:806–11.

    Article  Google Scholar 

  22. Fink B, Makowiak C, Fuerst M, Berger I, Schäfer P, Frommelt L. The value of synovial biopsy, joint aspiration and C-reactive protein in the diagnosis of late peri-prosthetic infection of total knee replacements. J Bone Joint Surg Br. 2008;90:874–8.

    Article  CAS  Google Scholar 

  23. Fink B, Gebhard A, Fuerst M, Berger I, Schäfer P. High diagnostic value of synovial biopsy in periprosthetic joint infection of the hip. Clin Orthop Relat Res. 2013;471:956–64.

    Article  Google Scholar 

  24. Pohlig F, Mühlhofer HML, Lenze U, Lenze FW, Suren C, Harrasser N, et al. Diagnostic accuracy of arthroscopic biopsy in periprosthetic infections of the hip. Eur J Med Res. 2017;22:6.

    Article  Google Scholar 

  25. Flayhart D, Borek AP, Wakefield T, Dick J, Carroll KC. Comparison of BACTEC PLUS blood culture media to BacT/alert FA blood culture Media for Detection of bacterial pathogens in samples containing therapeutic levels of antibiotics. J Clin Microbiol. 2007;45:816–21.

    Article  Google Scholar 

  26. Trampuz A, Zimmerli W. Prosthetic joint infections: update in diagnosis and treatment. Swiss Med Wkly. 2005;135:243–51.

    PubMed  Google Scholar 

  27. Renz N, Rienmüller A, Borens O, Scheibel M, Trampuz A. Shoulder periprosthetic joint infection caused by Propionibacterium acnes. Obere Extremität. 2016;11:96–100.

    Article  Google Scholar 

  28. Peel TN, Spelman T, Dylla BL, Hughes JG, Greenwood-Quaintance KE, Cheng AC, et al. Optimal Periprosthetic tissue specimen number for diagnosis of prosthetic joint infection. J Clin Microbiol. 2017;55:234–43.

    Article  Google Scholar 

  29. Peel TN, Sedarski JA, Dylla BL, Shannon SK, Amirahmadi F, Hughes JG, et al. Laboratory workflow analysis of culture of Periprosthetic tissues in blood culture bottles. J Clin Microbiol. 2017;55:2817–26.

    Article  Google Scholar 

  30. Trampuz A, Piper KE, Jacobson MJ, Hanssen AD, Unni KK, Osmon DR, et al. Sonication of removed hip and knee prostheses for diagnosis of infection. N Engl J Med. 2007;357:654–63.

    Article  CAS  Google Scholar 

  31. Sambri A, Maso A, Storni E, Megaloikonomos PD, Igoumenou VG, Errani C, et al. Sonication improves the diagnosis of Megaprosthetic infections. Orthopedics. 2019;42:28–32.

    Article  Google Scholar 

  32. Sambri A, Maso A, Storni E, Donati ME, Pederzoli A, Dallari D, et al. Is sonication of antibiotic-loaded cement spacers useful in two-stage revision of prosthetic joint infection? J Microbiol Methods. 2019;156:81–4.

    Article  CAS  Google Scholar 

  33. Sambri A, Cadossi M, Giannini S, Pignatti G, Marcacci M, Neri MP, et al. Is treatment with Dithiothreitol more effective than sonication for the diagnosis of prosthetic joint infection? Clin Orthop Relat Res. 2018;476:137–45.

    Article  Google Scholar 

  34. De Vecchi E, Bortolin M, Signori V, Romanò CL, Drago L. Treatment with Dithiothreitol improves bacterial recovery from tissue samples in Osteoarticular and joint infections. J Arthroplast. 2016;31:2867–70.

    Article  Google Scholar 

  35. Karbysheva S, Butini ME, Di Luca M, Winkler T, Schütz M, Trampuz A. Chemical biofilm dislodgement with chelating and reducing agents in comparison to sonication: implications for the diagnosis of implant associated infection. bioRxiv. 2019;604637. https://doi.org/10.1101/604637.

  36. Wimmer MD, Ploeger MM, Friedrich MJ, Hügle T, Gravius S, Randau TM. Pre-operative intra-articular deep tissue sampling with novel retrograde forceps improves the diagnostics in periprosthetic joint infection. Int Orthop. 2017;41:1355–9.

    Article  Google Scholar 

  37. Hügle T, Leumann A, Pagenstert G, Paul J, Hensel M, Barg A, et al. Retrograde synovial biopsy of the knee joint using a novel biopsy forceps. Arthrosc Tech. 2014;3:e317–e319.

    Article  Google Scholar 

Download references

Acknowledgements

Not applicable.

Funding

This work was supported by the PRO-IMPLANT Foundation, Berlin, Germany (https://www.pro-implant-foundation.org), a non-profit organization supporting research, education, global networking and care of patients with bone, joint or implant-associated infection.

Author information

Authors and Affiliations

  1. Charité – Universitätsmedizin Berlin, Center for Musculoskeletal Surgery, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany

    Cheng Li & Andrej Trampuz

  2. Hospital Universitario 12 de Octubre, Madrid, Spain

    Cristina Ojeda-Thies

Authors
  1. Cheng Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Cristina Ojeda-Thies
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Andrej Trampuz
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

LC drafted the study protocol, searched the databases, performed the meta-analysis, and drafted and revised the manuscript. COT proposed the study design, participated in data analysis, and contributed to writing and editing the manuscript. AT contributed to the study protocol, data analysis and interpretation, as well as reviewed the manuscript. All authors have seen and approved the final version of the paper before submission.

Corresponding author

Correspondence to Andrej Trampuz.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, C., Ojeda-Thies, C. & Trampuz, A. Culture of periprosthetic tissue in blood culture bottles for diagnosing periprosthetic joint infection. BMC Musculoskelet Disord 20, 299 (2019). https://doi.org/10.1186/s12891-019-2683-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12891-019-2683-0

Keywords

BMC Musculoskeletal Disorders

ISSN: 1471-2474

Contact us