- Journal List
- Cureus
- v.12(2); 2020 Feb
- PMC7017925
As a library, NLM provides access to scientific literature. Inclusion in an NLM database does not imply endorsem*nt of, or agreement with, the contents by NLM or the National Institutes of Health.
Learn more: PMC Disclaimer | PMC Copyright Notice
Cureus. 2020 Feb; 12(2): e6967.
Published online 2020 Feb 12. doi:10.7759/cureus.6967
PMCID: PMC7017925
PMID: 32089975
Monitoring Editor: Alexander Muacevic and John R Adler
Rafia Ghani,1 Jonathan Hutt,2 Philip Mitchell,2 Luke Granger,2 and Nemandra A Sandiford2
Author information Article notes Copyright and License information PMC Disclaimer
Abstract
Background
Serum C-reactive protein (CRP) is an important test in the initial diagnosis of prosthetic joint infection (PJI). There is no widely accepted algorithm for the resolution of PJI. Surgeons have traditionally used CRP to determine if the infection has resolved. However, this practice is not currently supported by significant data.
Methods
A retrospective analysis of our departmental arthroplasty database was conducted to determine mean values of CRP pre and postoperatively for PJI treated with the debridement, antibioticsand implant retention (DAIR) procedure, single-stage revisionand two-stage revision. Receiver operating characteristic (ROC) curves were calculated to determine the sensitivity and specificity of CRP testing in diagnosing persistent infection.
Results
Of the 121patients who had undergone treatment (75 hip replacements and 48 knee replacements), there were 26 cases of persistent infection. There was no statistical significance in the mean CRP values between successful and unsuccessful treatment groups. The areas under ROCs (AUCs) for CRP values predicting outcomes ranged from 0.46 to 0.73.
Conclusion
Our study does not support the use of serial CRP monitoring as an indicator of the successful eradication ofPJI.
Keywords: arthroplasty, orthopaedics, infection, prosthetic, prosthetic joint, revision, blood testing, inflammatory
Introduction
Prosthetic joint infection (PJI) is a serious complication of total joint arthroplasty of the hip and knee. It is estimated that 1-2.5% of patients undergoing primary total joint replacement require treatment for PJI [1]. There are well-established evidence-based algorithms in place for the initial diagnosis of PJI with considerable evidence to support the use of serum inflammatory markers in diagnosis [2]. Following the diagnosis of PJI, the main treatment modalities are debridement,antibioticsandimplant retention(DAIR), single-stage revision or two-stage revision. Two-stage revision remains the gold standard of treatment for PJI [3]. In all treatment modalities, there is no widely accepted algorithm to determine infection resolution and the success of treatment. Many surgeons use serial serum C-reactive protein (CRP, an inflammatory marker) monitoring to determine response to treatment. However, there is no reliable evidence yet to suggest that low or decreasing CRP values indicate the elimination of infection.
Current evidence suggests that serial CRP monitoring cannot reliably determine infection control in two-stage revision; however, the role of CRP in assessing the success in DAIR and single-stage revision procedures remains unclear. Ghanem et al. studied 109 patients who had undergone two-stage revision for infected knee replacements from 1999 to 2006. They analysed the effectiveness of CRP as a test in determining the eradication of infection by using the area under a receiver operatorcharacteristic (ROC) curve (AUC). They found the AUC for CRP to be 0.55, which was not statistically significant. The study concluded that CRP often does not normalise even when the infection is eradicated [4]. This conclusion was supported by Shukla et al. who retrospectively reviewed serologies of 76 infectedtotal knee arthroplasty (TKA) patients who were treated with a two-stage exchange [5]. More recently, Bejon et al. came to a similar conclusion after analysing a dataset of 151 total joint arthroplastypatients (71 hip, 76 kneeand four elbow revisions) who had undergone two-stage revision for PJI. They also analysed a dataset of 109 patients who had undergone DAIR (51 hip replacement, 50 knee replacements and eight other joints). They found that CRP had an AUCof 0.65 for predicting failure of DAIR at one year and concluded that CRP testing in this subgroup was of marginal usefulness [6].
Our aim was to examine the usefulness of CRP testing in determining whether a PJI has been treated successfully.
Materials and methods
Three clinical datasets were retrospectively gathered from patients with PJI managed in a single tertiary referral centre specialising in treating PJI between April 2011 and March 2017. All cases treated withDAIR, single or two-stage revisions for PJI were included. Infection was diagnosed according to theMusculoskeletal Infection Society (MSIS) criteria [2]. All patients had been treated by the same surgical team. In all cases, patients had been treated with antibiotics for at least six weeks postoperatively according to organism sensitivity.
CRP results were collected preoperatively and at weeks one, three and six postoperatively. These results were collected from the electronic pathology reporting system. Clinical notes were reviewed for each patient to determine the organism responsible for PJI and to identify cases with persistent infection after treatment. The condition of persistent infection was defined based on the following criteria: (i) requiring further surgery to eradicate infection, (ii) presence offever, rigors or purulent drainage postoperativelyor (iii) chronic joint pain and swelling lasting 1-2 years postoperatively.
All data analysis was performed usingStatistical Product and Service Solutions (SPSS) software version 25 (IBM, Armonk, NY) with significance set at a = 0.05. Mean values for CRP were calculated preoperatively and at weeks one, three and six postoperatively for DAIR, single-stage revision and two-stage revision respectively. Receiver operating characteristic(ROC) curves were calculated from mean CRP values. This allowed us to examine the area under the curve (AUC). The area under the curve determines how well a test separates the group being tested into those with and without the disease in question [7]. The traditional academic point system is a guide for determining the accuracy of a diagnostic test (Table (Table11).
Table 1
Traditional academic point system for AUC test values
AUC: area under receiver operating characteristic curve
AUC value | Accuracy of diagnostic test |
.90-1 | Excellent |
.80-.90 | Good |
.70-.80 | Fair |
.60-.70 | Poor |
.50-.60 | Fail |
Open in a separate window
There was no research-related contact with patients and all data was anonymised. Informed consent was waived for our study.
Results
A total of 121 (hip 73, knee 48) cases were identified. Of these cases, 68 (hip 43, knee 25) had been treated with single-stage revision, 24 (hip 15, knee 9)with two-stage revision and 29 (hip 15, knee 14)with DAIR. The average age of the patient was 68 (range: 27-90) with 61 male patients and 60 female patients. PJI was found to be eradicated in 95 of the 121 patients (79%) in the cohort. There were 11 cases of persistent infection in 68 patients (16%) treated with single-stage revision. There were nine cases of persistent infection in 24 patients (38%) treated with two-stage revision. There were six cases of persistent infection in 29 patients (21%) treated with DAIR.
There were 444 CRP results collected for 121 patients. There were 241 CRP results for 61 patients in the single-stage revision cohort (comprising 43 hip replacements and 25 knee replacements). There were 92 CRP results collected for 24 patients in the two-stage revision cohort (comprising 15 hip replacement and nine knee replacements). There were 111 CRP results collected for 29 patients in the DAIR cohort (comprising 15 hip replacements and 14 knee replacements).
Single-stage revision
The mean preoperative CRP of the single-stage revision cohortwas 62 [95% confidence interval (CI): 42-83]. One week postoperatively, the mean CRP of the cohort was 50 (95%CI: 40-59). At week three postoperatively, the mean was 43 (95% CI: 24-61). At week six postoperatively, the mean was 23.66 (95% CI:15-33) (Table (Table2).There2).There was no statistically significant difference between the mean CRP for patients who remained persistently infected and those who remained uninfected. ROC curves were produced using the mean CRP values of the cohort. The AUC valuesfor weeks one and three were 0.471 and 0.421 respectively, indicating that testing at this time led to poor results in predicting reinfection (Figure (Figure1)1) (Table (Table3).3). The AUC at week 6 was 0.733, indicating that this CRP testing was moderately useful; however, this test was not statistically significant (p: 0.67).
Table 2
Mean CRP values in single-stage revision cohort
CRP: C-reactive protein
Inflammatory marker | Mean | 95%confidence interval | Standard deviation |
Preoperative CRP | 62.26 | 41.95-82.56 | 65.99 |
Week-1 CRP | 49.75 | 40.35-59.16 | 30.56 |
Week-3 CRP | 42.79 | 24.42-61.16 | 59.70 |
Week-6 CRP | 23.66 | 14.75-32.57 | 28.95 |
Open in a separate window
Figure 1
receiver operating characteristic curve for single-stage revision
ROC: receiver operating characteristic
PREOPCRP: preoperative C-reactive protein
W1CRP: week-1 C-reactive protein
W3CRP: week-3 C-reactive protein
W6CRP: week-6 C-reactive protein
Table 3
Area under the curve values for single-stage revision
CRP: C-reactive protein
Test result variable(s)a | Area | Std. errorb | Asymptotic significancec | Asymptotic 95% confidence interval | |
Lower bound | Upper bound | ||||
Preoperative CRP | .378 | .099 | .337 | .184 | .572 |
Week-1 CRP | .471 | .102 | .819 | .270 | .671 |
Week-3 CRP | .421 | .120 | .532 | .185 | .657 |
Week-6 CRP | .733 | .100 | .067 | .537 | .928 |
a. Procedure = stage 1 | |||||
b. Under the nonparametric assumption | |||||
c. Null hypothesis: true area = 0.5 |
Open in a separate window
Two-stage revision
The mean preoperative CRP of thetwo-stage revision cohort was 63 (95% CI: 39-88). One week postoperatively, the mean CRP of the cohort was 60 (95% CI: 29-91). At week three postoperatively, the mean was 36 (95% CI: 18-53). At week six postoperatively, the mean was 23 (95% CI: 13-33) (Table (Table4).4). There was no statistically significant difference between the mean CRP for patients who remained persistently infected and those who remained uninfected. ROC curves were produced using the mean CRP values of the cohort. The AUC values for CRP testing in this cohort at all times were <0.6, indicating that the test was not useful (Figure (Figure2)2) (Table (Table55).
Table 4
Mean CRP values in two-stage revision cohort
CRP: C-reactive protein
Inflammatory marker | Mean | 95% confidence interval | Standard deviation |
Preoperative CRP | 62.52 | 39.26-85.79 | 46.78 |
Week-1 CRP | 59.90 | 28.79-91.01 | 62.56 |
Week-3 CRP | 35.67 | 18.25-53.08 | 35.03 |
Week-6 CRP | 22.98 | 12.60-33.35 | 20.86 |
Open in a separate window
Figure 2
receiver operating characteristic curve for second-stage revision
ROC: receiver operating characteristic
PREOPCRP: preoperative C-reactive protein
W1CRP: week-1 C-reactive protein
W3CRP: week-3 C-reactive protein
W6CRP: week-6 C-reactive protein
Table 5
Area under the curve values for second-stage revision
CRP: C-reactive protein
Test result variable(s)a | Area | Std. errorb | Asymptotic significancec | Asymptotic 95% confidence interval | |
Lower bound | Upper bound | ||||
Preoperative CRP | .533 | .156 | .827 | .227 | .840 |
Week-1 CRP | .400 | .200 | .513 | .008 | .792 |
Week-3 CRP | .507 | .162 | .965 | .188 | .825 |
Week-6 CRP | .453 | .132 | .760 | .194 | .713 |
a. Procedure = stage 2 | |||||
b. Under the nonparametric assumption | |||||
c. Null hypothesis: true area = 0.5 |
Open in a separate window
Debridement, antibiotics and implant retention
The mean pre-operative CRP of theDAIR cohort was 131 (95% CI: 86-177). One week postoperatively, the mean CRP of the cohort was 72 (95% CI: 51-94). At week three postoperatively, the mean was 59 (95% CI: 31-88). At week six post-operatively, the mean was 56 (95% CI: 21-91) (Table (Table6).6). There was no statistically significant difference between the mean CRP for patients who remained persistently infected and those who remained uninfected. ROC curves were produced using the mean CRP values of the cohort. The AUC valuesfor CRP testing in this cohortat all times were <0.6, indicating that the test was not useful (Figure (Figure3)3) (Table (Table77).
Table 6
Mean CRP values in DAIR cohort
DAIR: debridement, antibiotics and implant retention
CRP: C-reactive protein
Inflammatory marker | Mean | 95% confidence interval | Standard deviation |
Preoperative CRP | 131.63 | 86.11-177.15 | 107.80 |
Week-1 CRP | 72.16 | 50.54-93.79 | 51.21 |
Week-3 CRP | 59.49 | 30.64-88.33 | 68.31 |
Week-6 CRP | 56.36 | 22.13-90.60 | 81.10 |
Open in a separate window
Figure 3
Receiver operator curve for DAIR
ROC: receiver operating characteristic
DAIR: debridement, antibioticsand implant retention
PREOPCRP: preoperative C-reactive protein
W1CRP: week-1 C-reactive protein
W3CRP: week-3 C-reactive protein
W6CRP: week-6 C-reactive protein
Table 7
Area under the curve values for DAIR
DAIR: debridement, antibioticsand implant retention
CRP: C-reactive protein
Test result variable(s)a | Area | Std. errorb | Asymptotic significancec | Asymptotic 95% confidence interval | |
Lower bound | Upper bound | ||||
Preoperative CRP | .516 | .164 | .915 | .195 | .837 |
Week-1 CRP | .453 | .162 | .749 | .136 | .769 |
Week-3 CRP | .589 | .135 | .546 | .325 | .854 |
Week-6 CRP | .663 | .120 | .271 | .429 | .897 |
a. Procedure = DAIR | |||||
b. Under the nonparametric assumption | |||||
c. Null hypothesis: true area = 0.5 |
Open in a separate window
Discussion
Based on our results, we could not recommend CRP as a test for determining the eradication of PJI. Our analysis generated low AUC values for all treatment modalities, indicating poor sensitivity and specificity of the test. This could potentially reflect the limited power of the study. However, it is more likely that the wide scatter of readings could be contributing to this. Treatment failure after DAIR, single-stage and two-stage revision was not associated with a high CRP at any measured time point. There was no statistical difference in mean CRP between patients with treatment failure and those who had successful treatment with any treatment modality.
PJI is a significant problem and carries a high morbidity rate for the patients. it is also becoming increasingly expensive to manage with a projected spend of US$ 1.62 billion in the US alone [8]. Research from Europe shows that the presence of infection triples the cost of a primary joint arthroplasty [9]. There have been many advances in surgical technique and preoperative diagnosis; however, there remains less clarity and consensus on the optimal criteria to assess response to treatment [2]. We feel it is essential to have a prognostic algorithm that allows for the use of inexpensive and readily available tests. Our research supports the current consensus that CRP in isolation is not useful in determining the eradication of infection. Recent studies have shown that interleukin-6 (IL-6) has a higher specificity for detecting the presence of infection; however, this test remains relatively expensive and inaccessible to the average surgeon [10,11].
We feel that more work needs to be done in reaching a consensus on how to monitor PJI treatment. A potential topic of further study would be to examine the usefulness of CRP in conjunction with other inflammatory markers such as white cell count and erythrocyte sedimentation rate.
Conclusions
Our study found that serial CRP testing was not a reliable test for determining the eradication of PJI in cases treated with single-stage revision, two-stage revision or DAIR. We feel that more work needs to be done to establish a widely accepted and reliable algorithm to determine the resolution of the infection.
Notes
The content published in Cureus is the result of clinical experience and/or research by independent individuals or organizations. Cureus is not responsible for the scientific accuracy or reliability of data or conclusions published herein. All content published within Cureus is intended only for educational, research and reference purposes. Additionally, articles published within Cureus should not be deemed a suitable substitute for the advice of a qualified health care professional. Do not disregard or avoid professional medical advice due to content published within Cureus.
The authors have declared that no competing interests exist.
Human Ethics
Consent was obtained by all participants in this study
Animal Ethics
Animal subjects: All authors have confirmed that this study did not involve animal subjects or tissue.
References
1. Prosthetic joint infection. Tande AJ, Patel R. Clin Microbiol Rev. 2014;27:302–345. [PMC free article] [PubMed] [Google Scholar]
2. The 2018 definition of periprosthetic hip and knee infection: an evidence-based and validated criteria. Parvizi J, Tan TL, Goswami K, Higuera C, Della Valle C, Chen AF, Shohat N. J Arthroplasty. 2018;33:1309–1314. [PubMed] [Google Scholar]
3. Two-stage revision arthroplasty for the treatment of prosthetic joint infection. Charette RS, Melnic CM. Curr Rev Musculoskelet Med. 2018;11:332–340. [PMC free article] [PubMed] [Google Scholar]
4. Staged revision for knee arthroplasty infection: what is the role of serologic tests before reimplantation? Ghanem E, Azzam K, Seeley M, Joshi A, Parvizi J. Clin Orthop Relat Res. 2009;467:1699–1705. [PMC free article] [PubMed] [Google Scholar]
5. Perioperative testing for persistent sepsis following resection arthroplasty of the hip for periprosthetic infection. Shukla SK, Ward JP, Jacofsky MC, Sporer SM, Paprosky WG, Della Valle CJ. J Arthroplasty. 2010;25:87–91. [PubMed] [Google Scholar]
6. Serial measurement of the C-reactive protein is a poor predictor of treatment outcome in prosthetic joint infection. Bejon P, Byren I, Atkins BL, et al. J Antimicrob Chemother. 2011;66:1590–1593. [PubMed] [Google Scholar]
7. The area under an ROC curve. [Feb;2020 ];http://gim.unmc.edu/dxtests/ROC3.htm 2020
8. Prosthetic joint infections and cost analysis? Haddad FS, Ngu A, Negus JJ. Adv Exp Med Biol. 2017;971:93–100. [PubMed] [Google Scholar]
9. Infection triples the cost of a primary joint arthroplasty. Puhto T, Puhto AP, Vielma M, Syrjälä H. Infect Dis (Lond) 2019;51:348–355. [PubMed] [Google Scholar]
10. Synovial IL-6 as inflammatory marker in periprosthetic joint infections. Lenski M, Scherer MA. J Arthroplasty. 2014;29:1105–1109. [PubMed] [Google Scholar]
11. Serum and synovial fluid interleukin-6 for the diagnosis of periprosthetic joint infection. [Feb;2020 ];Xie K, Dai K, Qu X, Yan M. https://www.ncbi.nlm.nih.gov/pubmed/28473693. Sci Rep. 2017 7:1496. [PMC free article] [PubMed] [Google Scholar]
Articles from Cureus are provided here courtesy of Cureus Inc.