| Literature DB >> 32489747 |
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.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
Figure 1PRISMA flow diagram
Characteristics of included studies
| Lead Author | Year | Country | Sample Size | Female (%) | Mean Age (years) |
| Chiu [ | 2001 | China | 78 | 32.1 | 70.6 |
| Chiu [ | 2002 | China | 340 | 30.3 | 69.0 |
| Chiu [ | 2009 | China | 183 | 36.6 | 70.5 |
| Hinarejos [ | 2013 | Spain | 2948 | 76.3 | 75.9 |
| Sprowson [ | 2016 | United Kingdom | 848 | 74.5 | 82.6 |
Figure 2Forest plot of superficial infection rates
Figure 3Forest plot of deep infection rates
Risk of bias across included studies
| Lead Author | Randomization Process | Blinding | Intention-to-treat Analysis | Missing Outcome Data | Measurement of Outcome | Selection of Reported Result | Overall Risk of Bias |
| Chiu 2001 [ | High risk | High risk | Some concerns | Low risk | Some concerns | Some concerns | High risk |
| Chiu 2002 [ | High risk | High risk | Some concerns | Low risk | Some concerns | Some concerns | High risk |
| Chiu 2009 [ | High risk | High risk | Some concerns | Low risk | Some concerns | Some concerns | High risk |
| Hinarejos 2013 [ | Low risk | Some concerns | High risk | Low risk | Some concerns | Low risk | High risk |
| Sprowson 2016 [ | Some concerns | Low risk | Low risk | Low risk | Low risk | Low risk | Some concerns |