Next Article in Journal
Hypertension and Related Comorbidities as Potential Risk Factors for COVID-19 Hospitalization and Severity: A Prospective Population-Based Cohort Study
Next Article in Special Issue
Secondary Patellar Resurfacing in TKA: A Combined Analysis of Registry Data and Biomechanical Testing
Previous Article in Journal
Natural History of Ulcerative Colitis with Coexistent Colonic Diverticulosis
Previous Article in Special Issue
Public Interest in Knee Pain and Knee Replacement during the SARS-CoV-2 Pandemic in Western Europe
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Ceramic-on-Ceramic Bearing in Total Hip Arthroplasty Reduces the Risk for Revision for Periprosthetic Joint Infection Compared to Ceramic-on-Polyethylene: A Matched Analysis of 118,753 Cementless THA Based on the German Arthroplasty Registry

1
Department of Orthopaedics, Center for Musculoskeletal Surgery, Charité—University Medicine, Charitéplatz 1, 10117 Berlin, Germany
2
German Arthroplasty Registry (EPRD Deutsche Endoprothesenregister gGmbH), Straße des 17. Juni 106-108, 10623 Berlin, Germany
3
Department of Orthopaedic Surgery, Physical Medicine and Rehabilitation, University Hospital of Munich (LMU), Marchioninistr. 15, 81377 Munich, Germany
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2021, 10(6), 1193; https://doi.org/10.3390/jcm10061193
Submission received: 7 February 2021 / Revised: 5 March 2021 / Accepted: 5 March 2021 / Published: 12 March 2021
(This article belongs to the Special Issue Recent Advances in Arthroplasty - Part I)

Abstract

:
Periprosthetic joint infection (PJI) is one of the most common complications in total hip arthroplasty (THA). The influence of bearing material on the risk of PJI remains unclear to date. This registry-based matched study investigates the role of bearing partners in primary cementless THA. Primary cementless THAs recorded in the German Arthroplasty Registry since 2012 with either a ceramic-on-ceramic (CoC) or ceramic-on-polyethylene (CoP) bearings were included in the analysis. Using propensity score matching (PSM) for age, sex, obesity, diabetes mellitus, Elixhauser comorbidity index, year of surgery and head size, we compared the risk for revision for PJI for CoC and CoP. Within the 115,538 THAs (87.1% CoP; 12.9% CoC), 977 revisions were performed due to PJI. There was a significantly higher risk for revision for PJI for CoP compared with CoC over the whole study period (p < 0.01) after 2:1 matching (CoP:CoC) with a hazard ratio of 1.41 (95% confidence interval (CI), 1.09 to 1.80) After 3 years, the risk for revision for PJI was 0.7% (CI 0.5–0.9%) for CoC and 0.9% (CI 0.8–1.1%) for CoP. The risk for revision for all other reasons except PJI did not significantly differ between the two groups over the whole study period (p = 0.4). Cementless THAs with CoC bearings were less likely to be revised because of infection in mid-term follow-up. In the future, registry-embedded studies focusing on long-term follow-up, including clinical data, as well as basic science studies, may give a deeper insight into the influence of the bearing partners.

1. Introduction

Periprosthetic joint infection (PJI) is one of the most common reasons for revision in primary total hip arthroplasty (THA) and causes devastating complications for patients as well as high costs for health systems [1,2]. Multiple risk factors for PJI have been identified, whereby diabetes and obesity may be the most important patient-related modifiable ones [3,4]. The rate of PJI after THA for patients with primary osteoarthritis, however, has stayed between 1 and 3% over the last 30 years [5,6,7], so research is increasingly focusing on innovative aspects such as the actual prosthesis, the fixation method or the material of bearing partners. Metal-on-metal (MoM) bearings are said to be associated with a higher risk of infection [8,9]. This may be due to a change in periprosthetic tissue or an altered immunologic response because of metallic debris, thus leading surgeons to abandon stemmed MoM THA [10]. The other hard-on-hard bearing, ceramic-on-ceramic (CoC), is said to outperform metal-on-polyethylene (MoP) and ceramic-on-polyethylene (CoP) regarding wear and longevity, and has been often used, especially in young patients, since the 1990s [11,12]. However mechanical problems such as squeaking, breakage, incorrect ceramic insertion or impingement postoperatively display the technical expertise regarding surgical technique [13]. Low wear is less likely to cause synovitis, effusion and hyperemia, and ceramic particles are more biocompatible than metal debris [14], raising the question of the influence of CoC on infection. However, there are limited data on CoC reducing the rate of PJI, as recent studies investigating this topic may not have precisely captured important covariables [15,16]. A current meta-analysis including 11 randomized controlled studies and six observational studies did not demonstrate a significant difference in risk of PJI in relation to bearing combination in THA [17]. Studies based on registry data are an appropriate methodology to further analyze this connection, as registries have been shown to be superior for detecting early trends. The German Arthroplasty Registry uses an elaborate system to capture almost all revision surgeries regardless of which hospital in Germany they were performed in [18,19].
The current study investigates the risk of PJI in relation to the bearing partner in primary cementless THA based on data from the German Arthroplasty Registry. We hypothesized that CoC bearings would have a lower risk for revision for PJI compared with CoP.

2. Materials and Methods

2.1. Data Collection

The German Arthroplasty Registry (Endoprothesenregister Deutschland, EPRD) started collecting data in November 2012 and works as a not-for-profit organization founded by surgeons and the German Society of Orthopedics and Orthopedic Surgery (DGOOC) in cooperation with public health insurers (AOK Bundesverband GbR, Verband der Ersatzkassen e.V vdek), the German Medical Technology Association (BVMed), and hospitals performing hip and knee arthroplasty. Despite reporting surgeries being voluntarily, approximately 70% of primary and revision total hip and knee arthroplasties were reported in 2019 [1]. The two participating insurance companies (AOK-B, vdek) cover around 65% of the German population and allocate important information given by hospitals to cross-validate. A revision of a THA registered in the EPRD will be followed up due to the insurance billing date, even if it is performed in a hospital which is not participating in the German Arthoplasty Registry. Except for procedures performed outside of Germany, this algorithm ensures a close to perfect follow-up of patients insured by these companies [18]. Within the EPRD, the German versions of the International Classification of Procedures in Medicine (ICPM), called the “Operationen und Prozedurenschlüssel” (OPS) 301 system, and of the 10th International Classification of Diseases (ICD-10) are used to classify and identify diagnosis and procedures accurately.

2.2. Study Subjects

We included all patients with primary osteoarthritis of the hip and dysplastic hip osteoarthritis receiving a cementless THA with either a ceramic-on-ceramic or a ceramic-on-polyethylene bearing. Exclusion criteria were patients with secondary osteoarthritis and post-traumatic osteoarthritis of the hip, patients with relevant previous surgeries and patients receiving a cemented or hybrid THA. Two groups were formed based on the bearing combination: CoP and CoC. The primary endpoint in our study was revision for PJI. The secondary endpoint was defined as revision for any reason other than PJI. The EPRD uses a 2-step approach to safely identify PJI. First, while entering information for each case into the EPRD database, the surgeon is asked to classify the reason for revision. In a second step, if PJI is flagged, this is directly reported to the EPRD via electronic case report form (eCRF) or when reimbursement data are coded as ICD-10 T84.5. This information is linked within the EPRD database.

2.3. Statistical Analysis

We originally considered using a multivariate Cox regression for assessing the effects of the bearing type and the potential confounders. However, as the proportional hazard assumption for the Cox regression was rejected, we switched to propensity score matching (PSM) for elimination of confounders and only examined the influence of the bearing type. The covariables considered for PSM were age, sex, obesity, diabetes mellitus complication, Elixhauser comorbidity index, head size and year of surgery. Elixhauser comorbidity index, obesity and diabetes complication were determined using ICD-10-codes from insurance company data based on the coding algorithm defined by Quan et al. [20]. R was used to conduct the statistical analysis [21]. For the statistical analysis after matching, Kaplan–Meier estimates were calculated, log-rank tests were performed and the hazard ratios computed for the matched data. To assess covariate balance after matching, standardized mean differences (SMD) were used.

3. Results

The final dataset consisted of 115,538 cases, of which 14,954 cases had a ceramic-on-ceramic bearing (12.9%) and 100,954 (87.1%) had a ceramic-on-polyethylene or ceramic-on-crosslinked polyethylene bearing (Figure 1).
Overall, 3027 (2.6%) revisions for any reason occurred in the whole study group, of which 977 (0.8%) were performed due to PJI. There were 83 revisions due to PJI in the CoC group (0.6%) and 894 in the CoP group (0.9%) before performing PSM. The crude data show a difference in age at date of surgery, with patients being older within the CoP group (mean, 67.4 years; standard deviation (SD) 9.6) compared with the CoC group (median, 62.6 years; SD 10.2), as well as differences in gender distribution and other important cofactors like head size (Table 1).
The crude risk of revision (CRR) for PJI was 0.7% (95% confidence interval [CI], 0.5–0.9%) for CoC and 1.1% (CI, 1.0–1.1%) for CoP after 3 years (Figure 2). There was a statistically significant difference over the whole study period (p < 0.01).
After PSM with a 1:2 matching, 14,954 (CoC) and 29,908 cases (CoP) were included for further analysis (Figure 1, Table 1); 1:3 matching was not possible due to remaining differences in age and comorbidities. After matching, the risk for revision for PJI was 0.7% (95% CI, 0.5–0.9%) for CoC and 0.9% (95% CI, 0.8–1.1%) for CoP after 3 years (Table 2). There was a significant higher risk for infection for CoP compared with CoC using the log-rank test over the whole study period (p = 0.008) (Figure 3). CoP THAs were at higher risk for revision for PJI, with a hazard ratio (HR) of 1.41 (95% CI, 1.09–1.81)
There was no statistically significant difference in risk for revision for any reason except PJI (p = 0.4), with a CRR of 1.9% (95% CI, 1.6–2.2%) for CoC and a CRR of 2.0% (95% CI, 1.8–2.2%) for CoP after 3 years (Figure 4). The hazard ratio for CoP was 1.07 (95% CI, 0.91 to 1.2).

4. Discussion

This registry-based study investigated the effect of bearing partners in primary THA on the risk of revision for PJI. The most important finding of our study is a significantly lower risk for PJI in THA with a CoC compared with those with a CoP bearing. The influence of significant covariables was minimized in our analysis; more precisely, age, sex, obesity, diabetes mellitus complication, Elixhauser comorbidity index, head size and year of surgery. Furthermore, the risk for any revision except PJI did not differ significantly between the two bearings, which strengthens our hypothesis.
First, detection of the true incidence of PJI by itself is a major challenge and is especially important for generating valid data from a registry. According to the literature, registries tend to underrate PJI in total hip and knee arthroplasty [22]. In most registries, diagnosis of PJI is established before or directly after surgery; however, in some cases, microbiological results become positive days after surgery, when the diagnosis has already been reported to the database of the registry or is not changed subsequently. Within the current study, the risk of revision for PJI was around 0.8%, which is consistent with scientific data [6,7]. The EPRD ensures this in a two-step approach. First, while entering cases into the EPRD database manually, surgeons are asked to classify the reason for revision. Secondly, cases with PJI are identified using the coding based on the German versions of the International Classification of Procedures in Medicine (ICPM). Even if surgeons may have wrongly assessed the reason for revision before surgery, hospital settlements based on all of the information available at discharge of patients may include the right diagnoses.
Other registry studies investigating the question of the influence of bearing partners on the risk of PJI demonstrated that there is a time-dependent effect, with differences occurring only after 6 months [15], or an age-dependent influence, with the advantages of CoC only seen for patients younger than 70 years [16]. However, the rate of revision for PJI seems to be quite low within these studies, being 0.5% over 15 years [15,16]. Lenguerrand et al. [23] published a prospective observational study investigating a large number of factors influencing the risk of PJI in THA in 623,253 primary hip procedures in England and Wales. Bearing partners significantly influenced the risk of revision, with CoC and CoP having a significantly lower risk for PJI than MoP; again, the influence varied over time.
Furthermore, correct accounting for confounding factors in clinical and registry studies is a huge challenge. A current prospective multicenter study including 2107 first revisions of primary total hip arthroplasties with CoC bearings had a significantly higher revision rate due to PJI compared with MoP [13]; however, within this prospective observational analysis, no further information on the patients was provided and therefore, no multivariant analysis was conducted. The most recent metanalysis comparing MoP, CoP and CoC, including 11 randomized controlled trials and six observational studies [17], showed no significant differences between the bearing combinations; furthermore, the results displayed a trend towards CoP being the one with the least number of revision due to PJI. The study further suggested “adequately controlled registry studies”, as, due to their nature, registry studies represent the best way to pinpoint a previously unspecified phenomenon. The EPRD has access to various covariables and comorbidities. Propensity score matching was used to exclude the influence of the most important covariates (such as the Elixhauser comorbidity index [24], obesity, and diabetes [3]) that predict whether a patient will receive a particular treatment; in our case, the bearing combination.
Basic science suggests that despite careful preparation and sterile perioperative conditions, there may be bacterial contamination on surgical draping and attachment of bacteria at the area of operation. The fact that contamination develops into infection may be influenced by the susceptibility of the bearing combination [25], whereby the production of a biofilm, a complex glycocalyx, is the crucial step for establishing an infection by protecting against the immune system and also antibiotics. The characteristics of the surface, such as roughness and hydrophobicity, can influence the attachment of different bacteria [26,27]. Ceramics in arthroplasty are known to have a low surface roughness and high hydrophilicity and wettability, resulting in uniformly distributed synovial fluid between the bearing partners This reduces friction and wear, ensuring excellent survival in the long-term follow-up, but may also provide lower bacterial attachment. Staphylococcus aureus, as one of the main bacteria causing PJI, is more prone to adhering to hydrophobic surfaces than hydrophilic surfaces [28]. Lass et al. [29] detected the highest bacterial load on polyethylene liners in a retrieval study. Evidently, due to the nature of these studies, as well as our study, we can only assume an association between a lower risk for PJI and ceramic-on-ceramic bearing in THA, not causality.
Our study has the following limitations: (1) the EPRD only started collecting cases in 2012, so our follow-up is limited. However, as our aim was to focus on early-onset PJI, the follow-up time is sufficient to answer our research question. (2) Due to the limited number of cases, we were not able to divide between conventional and highly crosslinked polyethylene. Furthermore, metal heads were not included in our research protocol, as these are only used in significantly older patients in Germany. Nevertheless, our main focus was to investigate the difference between CoP and CoC bearings. (3) The EPRD lacks some covariates that might have skewed the results in risk for PJI (e.g., ASA (American Society of Anesthesiologists) classification). Furthermore, center or surgeon were not included in our analysis. (4) As this was a registry-based study, we were not able to include histologic and microbiologic intraoperative findings, nor we were able to fully execute a commonly used diagnostic tool for defining PJI like the MSIS (Musculoskeletal Infection Society) criteria [30]. Furthermore, we cannot depict the site of infection as we did not perform a retrieval analysis of the components. Still, a registry study may represent an opportunity to approach this specific phenomenon. Future clinical randomized trials or registry-embedded studies are needed to establish causality.

5. Conclusions

CoC bearings were less likely to be revised for PJI in our registry-based study compared with THAs with a CoP bearing. There was no difference in risk for revision for any reason except PJI. However, studies including a long-term follow-up as well as microbiologic and histologic data are needed to further support our results in the future.

Author Contributions

L.R. wrote the manuscript and developed the theoretical framework. C.P. provided critical feedback and helped shape the analysis and manuscript. O.M. performed the computations and statistical analysis and gave critical feedback on the manuscript. A.G. was involved in planning and supervised the work and gave critical feedback on the manuscript. V.J. helped to supervise the project and worked on the theoretical framework. A.S. conceived of the presented idea, aided in interpreting the results and worked on the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki and approved by the ethics committee of the medical school of the Kiel University (approval number D 473/11).

Informed Consent Statement

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

Data Availability Statement

Data available on request due to restrictions. The data presented in this study are available on request from the corresponding author. The data are not publicly available due to data protection.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Grimberg, A.; Jansson, V.; Lützner, J.; Melsheimer, O.; Morlock, M.; Steinbrück, A. Endoprothesenregister Deutschland (EPRD)—Jahresbericht 2020; EPRD: Berlin, Germany, 2020. [Google Scholar]
  2. Koek, M.B.G.; van der Kooi, T.I.I.; Stigter, F.C.A.; de Boer, P.T.; de Gier, B.; Hopmans, T.E.M.; de Greeff, S.C.; Burden of SSI Study Group. Burden of surgical site infections in the Netherlands: Cost analyses and disability-adjusted life years. J. Hosp. Infect. 2019, 103, 293–302. [Google Scholar] [CrossRef]
  3. Maoz, G.; Phillips, M.; Bosco, J.; Slover, J.; Stachel, A.; Inneh, I.; Iorio, R. The Otto Aufranc Award: Modifiable versus nonmodifiable risk factors for infection after hip arthroplasty. Clin. Orthop. Relat. Res. 2015, 473, 453–459. [Google Scholar] [CrossRef] [Green Version]
  4. Peters, R.M.; van Steenbergen, L.N.; Stewart, R.E.; Stevens, M.; Rijk, P.C.; Bulstra, S.K.; Zijlstra, W.P. Patient Characteristics Influence Revision Rate of Total Hip Arthroplasty: American Society of Anesthesiologists Score and Body Mass Index Were the Strongest Predictors for Short-Term Revision After Primary Total Hip Arthroplasty. J. Arthroplast. 2019, 35, 188–192. [Google Scholar] [CrossRef] [Green Version]
  5. Dale, H.; Skramm, I.; Lower, H.L.; Eriksen, H.M.; Espehaug, B.; Furnes, O.; Skjeldestad, F.E.; Havelin, L.I.; Engesaeter, L.B. Infection after primary hip arthroplasty: A comparison of 3 Norwegian health registers. Acta Orthop. 2011, 82, 646–654. [Google Scholar] [CrossRef] [Green Version]
  6. Engesaeter, L.B.; Dale, H.; Schrama, J.C.; Hallan, G.; Lie, S.A. Surgical procedures in the treatment of 784 infected THAs reported to the Norwegian Arthroplasty Register. Acta Orthop. 2011, 82, 530–537. [Google Scholar] [CrossRef]
  7. Ong, K.L.; Kurtz, S.M.; Lau, E.; Bozic, K.J.; Berry, D.J.; Parvizi, J. Prosthetic joint infection risk after total hip arthroplasty in the Medicare population. J. Arthroplast. 2009, 24, 105–109. [Google Scholar] [CrossRef]
  8. Kleeman, L.T.; Bala, A.; Penrose, C.T.; Seyler, T.M.; Wellman, S.S.; Bolognesi, M.P. Comparison of Postoperative Complications Following Metal-on-Metal Total Hip Arthroplasty with Other Hip Bearings in Medicare Population. J. Arthroplast. 2018, 33, 1826–1832. [Google Scholar] [CrossRef]
  9. Grammatopoulos, G.; Munemoto, M.; Inagaki, Y.; Tanaka, Y.; Athanasou, N.A. The Diagnosis of Infection in Metal-on-Metal Hip Arthroplasties. J. Arthroplast. 2016, 31, 2569–2573. [Google Scholar] [CrossRef]
  10. Bordini, B.; Stea, S.; Castagnini, F.; Busanelli, L.; Giardina, F.; Toni, A. The influence of bearing surfaces on periprosthetic hip infections: Analysis of thirty nine thousand, two hundred and six cementless total hip arthroplasties. Int. Orthop. 2019, 43, 103–109. [Google Scholar] [CrossRef]
  11. Bozic, K.J.; Kurtz, S.; Lau, E.; Ong, K.; Chiu, V.; Vail, T.P.; Rubash, H.E.; Berry, D.J. The epidemiology of bearing surface usage in total hip arthroplasty in the United States. J. Bone Jt. Surg. Am. 2009, 91, 1614–1620. [Google Scholar] [CrossRef]
  12. Kurtz, S.M.; Lau, E.; Baykal, D.; Springer, B.D. Outcomes of Ceramic Bearings After Primary Total Hip Arthroplasty in the Medicare Population. J. Arthroplast. 2017, 32, 743–749. [Google Scholar] [CrossRef] [Green Version]
  13. Migaud, H.; Putman, S.; Kern, G.; Isida, R.; Girard, J.; Ramdane, N.; Delaunay, C.P.; Hamadouche, M.; So, F.S.G. Do the Reasons for Ceramic-on-ceramic Revisions Differ from Other Bearings in Total Hip Arthroplasty? Clin. Orthop. Relat. Res. 2016, 474, 2190–2199. [Google Scholar] [CrossRef] [Green Version]
  14. Germain, M.A.; Hatton, A.; Williams, S.; Matthews, J.B.; Stone, M.H.; Fisher, J.; Ingham, E. Comparison of the cytotoxicity of clinically relevant cobalt-chromium and alumina ceramic wear particles in vitro. Biomaterials 2003, 24, 469–479. [Google Scholar] [CrossRef]
  15. Pitto, R.P.; Sedel, L. Periprosthetic Joint Infection in Hip Arthroplasty: Is There an Association Between Infection and Bearing Surface Type? Clin. Orthop. Relat. Res. 2016, 474, 2213–2218. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. Madanat, R.; Laaksonen, I.; Graves, S.E.; Lorimer, M.; Muratoglu, O.; Malchau, H. Ceramic bearings for total hip arthroplasty are associated with a reduced risk of revision for infection. Hip. Int. 2018, 28, 222–226. [Google Scholar] [CrossRef]
  17. Hexter, A.T.; Hislop, S.M.; Blunn, G.W.; Liddle, A.D. The effect of bearing surface on risk of periprosthetic joint infection in total hip arthroplasty: A systematic review and meta-analysis. Bone Jt. J. 2018, 100-B, 134–142. [Google Scholar] [CrossRef]
  18. Jansson, V.; Grimberg, A.; Melsheimer, O.; Perka, C.; Steinbruck, A. Orthopaedic registries: The German experience. EFORT Open Rev. 2019, 4, 401–408. [Google Scholar] [CrossRef] [PubMed]
  19. Grimberg, A.W.; Grupp, T.M.; Elliott, J.; Melsheimer, O.; Jansson, V.; Steinbruck, A. Ceramic Coating in Cemented Primary Total Knee Arthroplasty is Not Associated with Decreased Risk of Revision due to Early Prosthetic Joint Infection. J. Arthroplast. 2020, 36, 991–997. [Google Scholar] [CrossRef]
  20. Quan, H.; Sundararajan, V.; Halfon, P.; Fong, A.; Burnand, B.; Luthi, J.C.; Saunders, L.D.; Beck, C.A.; Feasby, T.E.; Ghali, W.A. Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data. Med. Care 2005, 43, 1130–1139. [Google Scholar] [CrossRef] [PubMed]
  21. R Development Core Team. R: A Language and Environment for Statistical Computing; R Foundation for Statistical Computing: Vienna, Austria, 2010. [Google Scholar]
  22. Witso, E. The rate of prosthetic joint infection is underestimated in the arthroplasty registers. Acta Orthop. 2015, 86, 277–278. [Google Scholar] [CrossRef] [PubMed]
  23. Lenguerrand, E.; Whitehouse, M.R.; Beswick, A.D.; Kunutsor, S.K.; Burston, B.; Porter, M.; Blom, A.W. Risk factors associated with revision for prosthetic joint infection after hip replacement: A prospective observational cohort study. Lancet Infect. Dis. 2018, 18, 1004–1014. [Google Scholar] [CrossRef] [Green Version]
  24. Menendez, M.E.; Neuhaus, V.; van Dijk, C.N.; Ring, D. The Elixhauser comorbidity method outperforms the Charlson index in predicting inpatient death after orthopaedic surgery. Clin. Orthop. Relat. Res. 2014, 472, 2878–2886. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Karbysheva, S.; Cabric, S.; Trampuz, A. Biofilm investigation on ceramic, metal and polyethylene bearing components from explanted hip joint replacement systems. In Proceedings of the eCM XIX Orthopaedic Infection, Davos Platz, Switzerland, 26–28 June 2019; p. 8. [Google Scholar]
  26. An, Y.H.; Friedman, R.J. Concise review of mechanisms of bacterial adhesion to biomaterial surfaces. J. Biomed. Mater. Res. 1998, 43, 338–348. [Google Scholar] [CrossRef]
  27. Katsikogianni, M.; Missirlis, Y.F. Concise review of mechanisms of bacterial adhesion to biomaterials and of techniques used in estimating bacteria-material interactions. Eur. Cell Mater. 2004, 8, 37–57. [Google Scholar] [CrossRef]
  28. Zmantar, T.; Bettaieb, F.; Chaieb, K.; Ezzili, B.; Mora-Ponsonnet, L.; Othmane, A.; Jaffrézic, N.; Bakhrouf, A. Atomic force microscopy and hydrodynamic characterization of the adhesion of staphylococcus aureus to hydrophilic and hydrophobic substrata at different pH values. World J. Microbiol. Biotechnol. 2011, 27, 887–896. [Google Scholar] [CrossRef]
  29. Lass, R.; Giurea, A.; Kubista, B.; Hirschl, A.M.; Graninger, W.; Presterl, E.; Windhager, R.; Holinka, J. Bacterial adherence to different components of total hip prosthesis in patients with prosthetic joint infection. Int. Orthop. 2014, 38, 1597–1602. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  30. Parvizi, J.; Tan, T.L.; Goswami, K.; Higuera, C.; Della Valle, C.; Chen, A.F.; Shohat, N. The 2018 Definition of Periprosthetic Hip and Knee Infection: An Evidence-Based and Validated Criteria. J. Arthroplast. 2018, 33, 1309–1314.e2. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Flowchart illustrating the data acquisition within the German Arthroplasty Registry (EPRD) as well as 1:2 matching using the propensity score (THA, total hip arthroplasty; EPRD, German Arthroplasty Registry; MoP Metal-on-Polyethylen; CoC, Ceramic-on -Ceramic; CoP, Ceramic-on-Polyethylene; PSM, Propensity Score Matching).
Figure 1. Flowchart illustrating the data acquisition within the German Arthroplasty Registry (EPRD) as well as 1:2 matching using the propensity score (THA, total hip arthroplasty; EPRD, German Arthroplasty Registry; MoP Metal-on-Polyethylen; CoC, Ceramic-on -Ceramic; CoP, Ceramic-on-Polyethylene; PSM, Propensity Score Matching).
Jcm 10 01193 g001
Figure 2. Cumulative risk of revision for periprosthetic joint infection (PJI) of ceramic-on-polyethylene (CoP) and ceramic-on-ceramic (CoC) bearings before matching (p < 0.01).
Figure 2. Cumulative risk of revision for periprosthetic joint infection (PJI) of ceramic-on-polyethylene (CoP) and ceramic-on-ceramic (CoC) bearings before matching (p < 0.01).
Jcm 10 01193 g002
Figure 3. The cumulative risk of revision CoP and CoC bearings for PJI after PSM (2:1) is significantly different (p = 0.008).
Figure 3. The cumulative risk of revision CoP and CoC bearings for PJI after PSM (2:1) is significantly different (p = 0.008).
Jcm 10 01193 g003
Figure 4. The cumulative risk of revision for any reason without PJI for CoP and CoC bearings after PSM (2:1) is not significantly different (p = 0.4).
Figure 4. The cumulative risk of revision for any reason without PJI for CoP and CoC bearings after PSM (2:1) is not significantly different (p = 0.4).
Jcm 10 01193 g004
Table 1. Description of categorical variables stratified by bearing type before and after 1:2 matching, with standardized mean differences (SMD) indicating balance of the matched groups.
Table 1. Description of categorical variables stratified by bearing type before and after 1:2 matching, with standardized mean differences (SMD) indicating balance of the matched groups.
UnmatchedMatched 2:1SMD
VariableCharacteristicsCoPCoPCoC
mean age at surgeryyears (SD)67.4 (9.8)62.7 (10.1)62.6 (10.2)0.012
%n%n%
sexmale39.112,49141.8640642.80.022
female60.917,41758.2854857.22
Complicated diabetesno98.829,63899.114,77998.80.026
yes1.22700.91751.2
obesityno81.324,71282.612,37482.70.003
yes18.7519617.4258017.3
head size
category
<32 mm6.07132.43712.50.010
32 mm59.511,24537.6555737.2
>32 mm34.517,95060.0902660.4
Elixhauser
index
≥53.07702.64102.70.014
022.8849928.4430428.8
1–474.120,63969.010,24068.5
year of
surgery
2012–2014
2015
2016
2017
2018
6.3
14.1
25.3
30.1
24.1
2575
5155
7447
8436
6295
8.6
17.2
24.9
28.2
21.0
1401
2627
3741
4150
3035
9.4
17.6
25.0
27.8
20.3
0.033
Table 2. Cumulative probability of revision (CPR) after propensity score matching (PSM) at 1:2 for PJI comparing CoC and CoP.
Table 2. Cumulative probability of revision (CPR) after propensity score matching (PSM) at 1:2 for PJI comparing CoC and CoP.
CPR (95% CI) and Numbers at Risk since Primary THA
1 year2 years3 years
CoC0.5 (0.4; 0.6)10,6250.6 (0.4; 0.6)64850.7 (0.5; 0.9)2971
CoP0.7 (0.6; 0.8)20,6940.8 (0.7; 1.0)12,5880.9 (0.8; 1.1)5714
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Renner, L.; Perka, C.; Melsheimer, O.; Grimberg, A.; Jansson, V.; Steinbrück, A. Ceramic-on-Ceramic Bearing in Total Hip Arthroplasty Reduces the Risk for Revision for Periprosthetic Joint Infection Compared to Ceramic-on-Polyethylene: A Matched Analysis of 118,753 Cementless THA Based on the German Arthroplasty Registry. J. Clin. Med. 2021, 10, 1193. https://doi.org/10.3390/jcm10061193

AMA Style

Renner L, Perka C, Melsheimer O, Grimberg A, Jansson V, Steinbrück A. Ceramic-on-Ceramic Bearing in Total Hip Arthroplasty Reduces the Risk for Revision for Periprosthetic Joint Infection Compared to Ceramic-on-Polyethylene: A Matched Analysis of 118,753 Cementless THA Based on the German Arthroplasty Registry. Journal of Clinical Medicine. 2021; 10(6):1193. https://doi.org/10.3390/jcm10061193

Chicago/Turabian Style

Renner, Lisa, Carsten Perka, Oliver Melsheimer, Alexander Grimberg, Volkmar Jansson, and Arnd Steinbrück. 2021. "Ceramic-on-Ceramic Bearing in Total Hip Arthroplasty Reduces the Risk for Revision for Periprosthetic Joint Infection Compared to Ceramic-on-Polyethylene: A Matched Analysis of 118,753 Cementless THA Based on the German Arthroplasty Registry" Journal of Clinical Medicine 10, no. 6: 1193. https://doi.org/10.3390/jcm10061193

APA Style

Renner, L., Perka, C., Melsheimer, O., Grimberg, A., Jansson, V., & Steinbrück, A. (2021). Ceramic-on-Ceramic Bearing in Total Hip Arthroplasty Reduces the Risk for Revision for Periprosthetic Joint Infection Compared to Ceramic-on-Polyethylene: A Matched Analysis of 118,753 Cementless THA Based on the German Arthroplasty Registry. Journal of Clinical Medicine, 10(6), 1193. https://doi.org/10.3390/jcm10061193

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

Article Metrics

Back to TopTop