Literature DB >> 32489747

Antibiotic Cement in Arthroplasty: A Meta-analysis of Randomized Controlled Trials.

Seper Ekhtiari1, Thomas Wood1, Raman Mundi2, Daniel Axelrod1, Vickas Khanna3, Anthony Adili1, Mitchell Winemaker1, Mohit Bhandari1.   

Abstract

Introduction Periprosthetic joint infection (PJI) following arthroplasty surgery is a devastating complication. Antibiotic cement has been proposed as a way to reduce PJI rates. The aim of this systematic review and meta-analysis was to review all of the available randomized controlled trial (RCT) evidence on the use of antibiotic cement in arthroplasty. Methods PubMed, MEDLINE, and Embase were searched. All records were screened in triplicate. Eligible RCTs were included. Data regarding study characteristics, patient demographics, and rates of superficial and deep infection were collected. The risk of bias was assessed using the Cochrane Risk of Bias Assessment Tool 2.0. Results Five RCTs were included (n = 4,397). Four studies compared antibiotic cement to plain cement while one study compared high-dose dual-antibiotic (HDDA) cement to low-dose single-antibiotic (LDSA) cement. The mean age of included patients was 76.4 years (range: 68-83). There was no significant difference in superficial infection rates between antibiotic and plain cement (odds ratio (OR): 1.33, 95% Confidence Interval (CI): 0.77-2.30, p = 0.3). There was a large but non-significant reduction in deep infection rates for antibiotic cement (OR: 0.20, 95%CI: 0.03-1.32, p = 0.09). There was a significantly lower rate of infection with HDDA as compared to LDSA (OR: 0.31, 95% CI: 0.09-0.88, p = 0.041). Conclusion The available evidence from RCTs reveals a potential benefit for antibiotic cement in arthroplasty surgery, though this difference is non-significant and highly imprecise. Furthermore, HDDA cement was significantly more effective than LDSA cement. There is a need for large, pragmatic trials on this topic.
Copyright © 2020, Ekhtiari et al.

Entities:  

Keywords:  arthroplasty; cement; infection; periprosthetic joint infection; total joint arthroplasty

Year:  2020        PMID: 32489747      PMCID: PMC7255530          DOI: 10.7759/cureus.7893

Source DB:  PubMed          Journal:  Cureus        ISSN: 2168-8184


Introduction

Across the United States and Canada alone, over one million primary total hip arthroplasty (THA) and total knee arthroplasty (TKA) procedures are performed on an annual basis and the incidence of these procedures is steadily increasing [1-3]. The success of joint replacement surgery in restoring patient function and improving quality of life has been well accepted [4-5]. In fact, THA has been previously deemed the “orthopedic operation of the century” [6]. Complications after hip and knee arthroplasty significantly undermine the success of these elective procedures. Periprosthetic joint infections (PJIs), in particular, remain one of the most devastating complications following hip and knee replacement for physicians and patients alike, as these infections result in increased patient morbidity and mortality, psychological hardship, and a significantly increased financial burden to health care systems [7-9]. Given the heightened concern for PJIs shared universally by surgeons, a variety of peri- and intraoperative practice patterns have emerged to mitigate infection risk. The evidence to inform many of these practices, however, remains equivocal and controversial [10]. The use of antibiotic cement has gained particular attention, despite conflicting evidence for its efficacy in preventing PJIs [11-13]. It remains crucial to clarify the efficacy of bone cement, however, as unnecessary use of antibiotic-laden bone cement (ALBC) leads to needless health care costs and potential concerns with antimicrobial stewardship, though limited data exists on this latter issue specifically. Conversely, if ALBC is truly effective in decreasing infection risk, even modest reductions in infection rates can have a significant impact given the number of joint replacements performed annually. As such, the objective of the current study was to perform a systematic review and meta-analysis of randomized controlled trials (RCTs) evaluating the efficacy of antibiotic bone cement in reducing prosthetic joint infections in patients undergoing primary total hip or knee arthroplasty.

Materials and methods

Protocol This systematic review and meta-analysis was conducted in accordance with the Cochrane Handbook for Systematic Reviews of Interventions. The study is presented as per Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) [14]. Eligibility criteria The focus of this systematic review and meta-analysis was on RCTs assessing the efficacy of antibiotic cement in reducing PJI. Inclusion criteria were as follows: 1) RCT, 2) patients undergoing primary or aseptic revision hip or knee arthroplasty, 3) intervention arm of antibiotic cement, 4) comparator of either plain cement or a different number of antibiotics or dose of antibiotics used in the cement, and 5) available in full text in English through the McMaster University library or available for interlibrary loan from an affiliated university. Aseptic revisions were included given that a limited amount of evidence was expected to be available, and thus a broad overview of this intervention was desired. `Exclusion criteria were as follows: 1) studies in which revision surgery was being performed for infection, and 2) overlapping reports from the same study cohort; in this case, the study with the longest follow-up while still being powered for the primary outcome, were included. Information sources The search, which was performed on December 19, 2019, included PubMed, MEDLINE, and Embase. All results from database inception to search date were included. Search The search strategy included key terms related to arthroplasty, antibiotic cement, infection, and random allocation. Appendix A outlines the full search strategy. Study selection After completion of the search, duplicates were removed and the studies imported into Rayyan (Qatar Computing Research Institute, Doha, Qatar). Studies were screened in triplicate by independent reviewers. Studies were screened sequentially in two stages: abstract/title screen and full text. Disagreements at the title and abstract stage were handled with automatic inclusion in the next stage. Discrepancies at the full-text stage were resolved by consensus. Data collection process Data were collected using an online collaborative spreadsheet (Google Sheets, Google LLC, Mountain View, California). The spreadsheet was piloted prior to use and adjustments made as necessary. Each reviewer’s data were audited by the other two reviewers for accuracy. Data items Data collected included study characteristics, patient demographics, allocation and randomization techniques, and blinding. In addition, details of the intervention and control arms were collected, along with follow-up timelines. Finally, superficial and deep infection, as well as revision outcomes, were collected. Risk of bias in individual studies Risk of bias among individual studies was assessed using the Cochrane Risk of Bias Assessment Tool 2.0 [15]. Summary measures Demographic data is presented using a descriptive statistic, with mean ± standard deviation (SD) for normally distributed data and median ± interquartile range (IQR) for non-parametric data. For comparing dichotomous outcomes, an odds ratio (OR) with 95% Confidence Interval (CI) is presented. Synthesis of results A pairwise meta-analysis was performed to compare intervention and control arms for superficial infection, deep infection, and revision rates. A random-effects (RE) model was employed if there was significant heterogeneity, otherwise, a fixed-effects (FE) model was utilized. Heterogeneity was assessed using the chi-squared statistic, presented as an I2 value, and considered to be significant if p < 0.1. For all other tests, significance was set at the p < 0.05 level a priori.

Results

Study selection The search strategy returned 667 results. Ultimately, five RCTs were included. See Figure 1 for the PRISMA flow diagram [14].
Figure 1

PRISMA flow diagram

Study characteristics The five included studies were published between 2001 and 2016 and enrolled a total of 4,397 patients [16-20]. Four studies compared antibiotic cement to plain cement while one study compared high-dose dual-antibiotic (HDDA) cement to low-dose single-antibiotic (LDSA) cement [16-20]. Overall, 2,643 patients underwent procedures with antibiotic cement while 1,754 underwent procedures with plain cement. Seventy percent of enrolled patients were female (3,076/4,397), and the weighted mean age of all included patients was 76.4 years old (range: 68-82.96). Three studies assessed patients undergoing primary TKA (n = 3549), one study assessed those undergoing aseptic revision TKA (n = 183), and one study assessed patients undergoing hip hemiarthroplasty for fracture (n = 848). Cefuroxime was the active antibiotic in one study while vancomycin, gentamicin, erythromycin were used in one study each. One study used a combination of gentamicin and clindamycin in the HDDA group. Table 1 details the characteristics of the included studies.
Table 1

Characteristics of included studies

Lead AuthorYearCountrySample SizeFemale (%)Mean Age (years)
Chiu [18]2001China7832.170.6
Chiu [20]2002China34030.369.0
Chiu [19]2009China18336.670.5
Hinarejos [17]2013Spain294876.375.9
Sprowson [16]2016United Kingdom84874.582.6
Synthesis of results Superficial Infection The four studies comparing antibiotic cement to plain cement all reported superficial infection rates [17-20]. None of the studies found a significant effect for antibiotic cement. The pooled superficial infection rate was 1.7% (30/1795) in the antibiotic cement group as compared to 1.3% (22/1754) in the plain cement group. The pooled estimate, comparing antibiotic cement to plain cement, revealed an OR of 1.33 (FE, 95% CI: 0.77-2.30, p = 0.3), slightly favoring plain cement though this was not significant. There was no heterogeneity (I2 = 0%). Figure 2 displays the forest plot for superficial infection. The study comparing HDDA to LDSA cement found a superficial infection rate of 0.6% (2/360) in the HDDA group as compared to 1.9% (7/376) in the LDSA group (OR: 0.29, 95% CI: 0.06-1.43, p = 0.13) [16].
Figure 2

Forest plot of superficial infection rates

Deep Infection All studies reported deep infection rates. Among the studies comparing antibiotic cement to plain cement, none found a significant effect, though all trended in favor of antibiotic cement [17-20]. Pooled deep infection rate for antibiotic cement was 1.1% (20/1795) as compared to 2.1% (36/1754) for plain cement (OR: 0.20, RE, 95%CI: 0.03-1.32, p = 0.09). There was moderate heterogeneity (I2 = 66%). Figure 3 displays the forest plot for deep infection. The study comparing HDDA to LDSA cement found a significantly lower rate of infection with HDDA (1.1% vs. 3.5%, OR: 0.31, 95% CI: 0.09-0.88, p = 0.041) [16].
Figure 3

Forest plot of deep infection rates

Risk of Bias Among Included Studies Of the five included studies, four were found to be at an overall high risk of bias while one study was rated “some concerns” [16-20]. Blinding and random sequence generation were the most domains most frequently at a high risk of bias while all studies had a low risk of bias for missing outcome data. Table 2 details the risk of bias assessment.
Table 2

Risk of bias across included studies

Lead AuthorRandomization ProcessBlindingIntention-to-treat AnalysisMissing Outcome DataMeasurement of OutcomeSelection of Reported ResultOverall Risk of Bias
Chiu 2001 [18]High riskHigh riskSome concernsLow riskSome concernsSome concernsHigh risk
Chiu 2002 [20]High riskHigh riskSome concernsLow riskSome concernsSome concernsHigh risk
Chiu 2009 [19]High riskHigh riskSome concernsLow riskSome concernsSome concernsHigh risk
Hinarejos 2013 [17]Low riskSome concernsHigh riskLow riskSome concernsLow riskHigh risk
Sprowson 2016 [16]Some concernsLow riskLow riskLow riskLow riskLow riskSome concerns
Additional Analyses Given that one of the studies included in the quantitative meta-analysis included patients undergoing revision surgery, we performed a post-hoc sensitivity analysis by repeating the meta-analysis without including that study [19]. The results were very similar to the original analysis though with less precision (OR: 0.26, 95%CI: 0.03 to 2.17, p = 0.21). See Appendix B for the forest plot for this sensitivity analysis.

Discussion

The findings of this systematic review and meta-analysis reveal that despite a total of 4,397 patients having been randomized to receive antibiotic cement or plain cement, the overall effect of antibiotic cement remains unclear. While the pooled effect estimate suggests a very large reduction in rates of PJI, this point estimate is associated with massive confidence intervals that cross the line of no effect. Thus, further high-quality evidence is needed in the form of very large, adequately powered, multicenter, and pragmatic RCTs that seek to answer this question definitively. The presence of deep infection can be caused by either direct infiltration from skin flora and contaminants or hematogenous spread from other sources. In the setting of acute periprosthetic infection, it is assumed that nearly all infections are caused through direct infiltration secondary to the formation of a biofilm [21]. The biofilm reliably forms through four steps: formation of a conditional film, microbial mass transport, anchoring through exopolymer production, and eventual growth of adhering micro-organisms [22]. In-vitro models have demonstrated that antibiotic cement reduces biofilm formation on cement discs after 24 hours [23]. This has been theorized to have occurred secondary to the inhibition of microbial mass transport, as the formation of a conditional film is unaffected by the presence of antibiotic bone cement. Moreover, although the diffusion properties of different antibiotic cement mixtures vary, the general patterns are the same: a large amount of antibiotic is released in the first 24-48 hours, followed by slow diffusion over the next days to weeks postoperatively [22]. Given that antibiotic cement primarily enacts its effects over the course of many weeks, it is logical that it would not prevent infection by inhibiting the creation of the conditional biofilm but rather by reducing bacterial transport to eventual biofilm formation. This is consistent with our finding that antibiotic cement does not reduce the risk of superficial infections, with an infection rate of 1.7% and 1.3% in the antibiotic and plain cement groups, respectively. Existing bacteria that colonize the skin during the perioperative period are responsible for the majority of superficial infections [24]. Therefore, antibiotic cement, which works over a period of days to a week, would not likely prevent contamination of the wound with these surface organisms. Rather, perioperative intravenous antibiotic prophylaxis and diligent sterile technique are more likely to reduce superficial surgical site infections [21,25-26]. The dose and type of antibiotic may be an important consideration when selecting an appropriate cement. The studies included in this review utilized five different antibiotics at varying doses, some of which are no longer in common use, which may have contributed to the levels of heterogeneity and imprecision. Furthermore, the rates of elution even among the same antibiotics is different in cement from different manufacturers. Previous literature has discussed the importance of fast-setting cement in the context of arthroplasty [27]. Furthermore, the single study that compared two different doses of antibiotic cement found that the high-dose, dual antibiotic cement was associated with a significantly lower rate of infection as compared to a low-dose, single antibiotic cement [16]. Generally, less than 1 g of antibiotics per 40 g of cement is considered to be a low dose. Given the sheer volume of total joint replacements, the findings of this study need to be contextualized within a resource-limited health care system. Costs for antibiotic cement have been reported at nearly $300 more per case as compared to plain cement ($416 vs $117) while the total 90-day costs for a patient requiring revision surgery secondary to PJI are approximately USD 30,000 higher than one without PJI [28-29]. Currently, the annual cost of revision surgeries in Canada is estimated at 163 million Canadian dollars (CAD), and infection is the leading cause of revision surgery, accounting for 31.8% of all revisions [1]. Thus, even a modest relative risk reduction of 25% would result in annual savings of nearly 15 million CAD in Canada alone. The strengths of our review lie in our rigorous methodological approach and the high quality of evidence included. Our review only included the highest quality evidence in randomized controlled trials, we performed title, abstract, and full-text screening in triplicate, and we performed random spot checks on abstraction to ensure accuracy. This study is limited by the heterogeneity of various interventions such as primary, revision, and hemiarthroplasty. However, all studies showed a relative reduction in deep PJI regardless of the antibiotic used. Furthermore, though the included studies were all RCTs, the number of studies is limited and the pooled estimate is associated with high imprecision.

Conclusions

Overall, pooled data on the best available evidence demonstrates a high level of imprecision. Thus, there is a need for large, pragmatic trials on this topic in order to provide a definitive answer to this important question. Future trials should consider specific questions, such as the effective antibiotic dose to be used, as well as cost-utility analyses.
  27 in total

Review 1.  The operation of the century: total hip replacement.

Authors:  Ian D Learmonth; Claire Young; Cecil Rorabeck
Journal:  Lancet       Date:  2007-10-27       Impact factor: 79.321

Review 2.  Prophylactic antibiotics in orthopaedic surgery.

Authors:  Laura Prokuski
Journal:  J Am Acad Orthop Surg       Date:  2008-05       Impact factor: 3.020

Review 3.  Influence of interfaces on microbial activity.

Authors:  M C van Loosdrecht; J Lyklema; W Norde; A J Zehnder
Journal:  Microbiol Rev       Date:  1990-03

4.  Conversion Total Knee Arthroplasty Needs Its Own Diagnosis-Related Group Code.

Authors:  Michael Yayac; Jonah Stein; Gregory K Deirmengian; Javad Parvizi; P Maxwell Courtney
Journal:  J Arthroplasty       Date:  2019-06-01       Impact factor: 4.757

5.  Cefuroxime-impregnated cement at primary total knee arthroplasty in diabetes mellitus. A prospective, randomised study.

Authors:  F Y Chiu; C F Lin; C M Chen; W H Lo; T Y Chaung
Journal:  J Bone Joint Surg Br       Date:  2001-07

6.  Cefuroxime-impregnated cement in primary total knee arthroplasty: a prospective, randomized study of three hundred and forty knees.

Authors:  Fang-Yao Chiu; Chuan-Mu Chen; Chien-Fu Jeff Lin; Wai-Hee Lo
Journal:  J Bone Joint Surg Am       Date:  2002-05       Impact factor: 5.284

Review 7.  Antibiotic-loaded bone cement reduces risk of infections in primary total knee arthroplasty? A systematic review.

Authors:  A Schiavone Panni; K Corona; M Giulianelli; G Mazzitelli; C Del Regno; M Vasso
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2016-09-06       Impact factor: 4.342

8.  The use of high-dose dual-impregnated antibiotic-laden cement with hemiarthroplasty for the treatment of a fracture of the hip: The Fractured Hip Infection trial.

Authors:  A P Sprowson; C Jensen; S Chambers; N R Parsons; N M Aradhyula; I Carluke; D Inman; M R Reed
Journal:  Bone Joint J       Date:  2016-11       Impact factor: 5.082

9.  Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.

Authors:  David Moher; Alessandro Liberati; Jennifer Tetzlaff; Douglas G Altman
Journal:  PLoS Med       Date:  2009-07-21       Impact factor: 11.069

10.  Surgeons are deeply affected when patients are diagnosed with prosthetic joint infection.

Authors:  Charlotte Mallon; Rachael Gooberman-Hill; Ashley Blom; Michael Whitehouse; Andrew Moore
Journal:  PLoS One       Date:  2018-11-28       Impact factor: 3.240

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