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. 2019 Aug 6;5(3):362–370. doi: 10.1016/j.artd.2019.03.007

A retrieval analysis perspective on revision for infection

Michael A Kokko a,, Matthew P Abdel b, Daniel J Berry b, Rebecca D Butler a, Douglas W Van Citters a
PMCID: PMC6728442  PMID: 31516983

Abstract

Background

Retrieval analysis has long served the orthopaedic community as a tool for understanding implant failure modes; however, what retrieval studies can reveal about the nature of prosthetic joint infection (PJI) remains unknown. We hypothesize that records from a comprehensive joint retrieval program should corroborate clinically-reported temporal characteristics of prosthesis-related infection.

Methods

We examined 2527 records documenting a decade of explanted hip and knee components to quantify the following: (1) the relative contribution of infection to revision arthroplasty; (2) the effects of joint type, revision status, and reason for retrieval on indwelling time; and (3) whether the temporal distribution of infected explants reflects clinical experience.

Results

In this series, 20% (507/2527) of explants were performed for infection, with PJI being more commonly implicated in the retrieval of revision implants than of primaries. Infected prostheses were explanted 23.2 months sooner on average than those retrieved for other causes. Within the subset of infected devices, revision components were explanted 11.2 months sooner than primaries, with no appreciable difference observed between hips and knees. Retrieval-based temporal distributions were most similar to PJI studies with endpoint enrollment or long duration follow-up, suggesting a later average onset of infection than reported in comparable clinical studies with short (<10-year) follow-up.

Conclusions

Infection represents a major cause of revision arthroplasty, and is associated with shorter indwelling times in revision components than in primaries. Studies with less than 10 years of follow-up are likely to under-report late PJI.

Keywords: Prosthesis-related infections, Prosthetic joint infection, Orthopaedic retrieval analysis, Epidemiology, Statistics

Introduction

Recent studies have shown that the overall incidence of prosthetic joint infection (PJI) remains constant at 1%-2% despite decades-long efforts by the medical and surgical communities to improve all aspects of prevention, diagnosis, and treatment [1], [2]. Of primary concern are relatively high mortality rates that suggest a poorer prognosis for PJI patients than for those diagnosed with either prostate or breast cancer [1]. The rarity of infection in total joint arthroplasty makes this a difficult disease to study. As a result, much of the epidemiological research on PJI is underpowered [3], [4], [5], and wide variation exists among reports of PJI incidence, its contribution to revision arthroplasty, and the degree to which infection risk changes over time after the index procedure.

In the present work, we sought to determine whether monitoring explanted hip and knee arthroplasty components at multiple institutions could provide further insight into the epidemiological characteristics of PJI. Our primary objectives were to assess the following: (1) the proportion of retrieved prosthetic hip and knee devices explanted due to infection; (2) the temporal distribution of infected retrievals with respect to index arthroplasty; and (3) whether the temporal distributions of infected explants from a comprehensive, multi-center retrieval study are appropriately representative of the clinical experience. Although retrieval analysis alone is fundamentally incapable of painting a complete picture of the epidemiology of PJI, it may have implications for both the design and interpretation of longitudinal studies when taken together with clinical research.

Material and methods

Based on the inclusion/exclusion criteria detailed in Figure 1, we selected 2527 records from our retrieval database cataloging hip and knee prostheses explanted between June 1, 2007 and May 31, 2017. In an effort to minimize selection bias, each included device was retrieved at one of 2 tertiary care referral centers (henceforth identified as “Institution A” and “Institution B”) that, by agreement, contributed all available explants to our retrieval laboratory during the study period. Explant collection and analysis was performed in accordance with procedures approved by local institutional review boards at each center.

Figure 1.

Figure 1

Record inclusion/exclusion produced a dataset detailing 2527 devices retrieved at either of 2 institutions for which our laboratory served as the principal explant recipient during the study period.

Within this cohort of hip and knee components, 62% (1561) were explanted at Institution A and 38% (966) at Institution B. Records contained sufficient information to statistically examine relationships between component indwelling time and 3 factors: joint type (categories: hip, knee), “ordinality” (categories: primary, revision), and surgeon-reported reason for retrieval (categories: infection, all other causes). All analyses were performed in R (version 3.4.4; R Foundation, Vienna, Austria) using RStudio (version 1.1.453; RStudio, Inc., Boston, MA), and hypothesis test results were considered statistically significant at the α = 0.05 level. A more detailed explanation of the statistical methods used in this analysis is available as an online supplement.

Contribution of infection to revision arthroplasty

The proportion of retrievals associated with infection was computed by simple division (ie, number of infections over total number of records) for the overall dataset, as well as for relevant subsets.

Temporal distribution of retrievals for infection

Two-way analysis of variance was performed as a coarse indicator of whether the joint type and/or ordinality factors are associated with significant variations in indwelling time. Since these distributions exhibit considerable right skew, more detailed analyses were performed using non-parametric methods. Each individual distribution was characterized in terms of its median and associated 95% confidence interval following Altman et al [6]; likewise, the median difference (ie, the median of all possible differences, a measure that is more statistically rigorous than the simple difference of medians) and associated CI were computed for certain pairs of distributions. Numerous hypothesis tests are available to detect specific differences between distributions; here we employed a modified median test (using Fisher’s exact method) and the Mann-Whitney U-test to evaluate differences in location, as well as the Kolmogorov-Smirnov test to identify shape disparities.

Comparison to published reports of PJI timing

We identified 5 relevant studies in the orthopaedic literature detailing the temporal distribution of PJI in hips and knees combined [5], [7], [8], [9], [10], 2 reporting the same in hips alone [11], [12], and 6 in knees alone [4], [13], [14], [15], [16], [17]. To facilitate comparison, retrieval indwelling times were segmented into histogram bins directly mirroring the structure of each literature report. Each pair of binned distributions was analyzed qualitatively by overlaying the normalized histograms, and quantitatively using the chi-squared test for independence, whose test statistic provides a rough measure of evidence that the distributions differ.

Results

Contribution of infection to revision arthroplasty

Infection accounts for 20% (507/2527) of the combined retrievals from Institutions A and B. Table 1 presents a summary of these data broken down by ordinality, joint type, and institution. Note that infection is more commonly reported as the reason for retrieval of revision implants than of primary implants.

Table 1.

Proportion of retrieved devices explanted due to infection, grouped by retrieving institution.

Explant type Records from Institutions A and B
Records from Institution A
Records from Institution B
Primary Revision Primary or revision Primary Revision Primary or revision Primary Revision Primary or revision
Hip 15% (104/688) 21% (70/330) 17% (174/1018) 13% (62/466) 21% (44/211) 16% (106/677) 19% (42/222) 22% (26/119) 20% (68/341)
Knee 18% (177/999) 31% (156/510) 22% (333/1509) 21% (136/636) 40% (99/248) 27% (235/884) 11% (41/363) 22% (57/262) 16% (98/625)
Hip or knee 17% (281/1687) 27% (226/840) 20% (507/2527) 18% (198/1102) 31% (143/459) 22% (341/1561) 14% (83/585) 22% (83/381) 17% (166/966)

Temporal distribution of retrievals for infection

As illustrated in Table 2 and Figure 2, the median infected explant occurred after 18.5 months (95% CI 17.0-21.4), and the median aseptic explant after 50.5 months (95% CI 47.1-53.2). The median difference shows that components explanted due to infection were retrieved 23.2 months (95% CI 19.4-27.2) sooner on average than components explanted for all other causes combined (Table 3).

Table 2.

Analysis of indwelling duration for explants retrieved for any reason (including infection), those retrieved specifically due to infection, and those retrieved for all reasons other than infection.

Explant type Retrieved for any reason
Retrieved for infection
Retrieved for all other causes
Primary Revision Primary or revision Primary Revision Primary or revision Primary Revision Primary or revision
Hip 59.0 (54.4-63.7) n = 688 28.2 (22.6-36.4) n = 330 51.5 (47.1-55.8) n = 1018 21.4 (17.0-27.1) n = 104 11.6 (4.9-16.1) n = 70 17.0 (13.4-20.7) n = 174 64.5 (59.8-70.9) n = 584 37.8 (29.4-49.2) n = 260 59.2 (55.0-62.8) n = 844
Knee 46.5 (42.7-51.4) n = 999 27.2 (24.9-30.1) n = 510 38.6 (36.4-41.9) n = 1509 30.2 (23.9-38.2) n = 177 13.3 (10.7-17.1) n = 156 19.7 (17.6-23.8) n = 333 51.0 (46.0-55.0) n = 822 35.5 (31.1-40.5) n = 354 44.4 (42.0-47.1) n = 1176
Hip or knee 52.9 (49.3-55.3) n = 1687 27.5 (25.3-30.1) n = 840 42.9 (40.2-45.1) n = 2527 25.7 (21.7-31.5) n = 281 12.2 (10.5-15.3) n = 226 18.5 (17.0-21.4) n = 507 57.2 (53.7-60.1) n = 1406 36.1 (31.9-40.4) n = 614 50.5 (47.1-53.2) n = 2020

Median time to explant is specified in months, and listed with the associated 95% CI and number of applicable records.

Figure 2.

Figure 2

A box and whiskers plot showing quartiles of the indwelling time distributions for all retrievals, as well as for the septic and aseptic subsets. Devices explanted due to infection exhibit a clear tendency toward earlier revision when compared to devices explanted for all other causes combined.

Table 3.

Statistical comparisons of the temporal distributions of explants based on joint type (hip vs knee), ordinality (primary vs revision), and reason for retrieval (infection vs all other causes combined).

Comparison Median difference (months)
Median test
Mann-Whitney U-test
Kolmogorov-Smirnov test
Δ (95% CI) P value U P value D P value
Infection vs other causes
 Infection vs other causes −23.2 (−27.2 to −19.4) <.0001 310,291 <.0001 0.305 <.0001
Hip vs knee, all causes
 All hip vs all knee 5.6 (2.1 to 9.4) <.0001 826,918 .0011 0.104 <.0001
 Primary hip vs primary knee 6.9 (2.1 to 11.9) .0015 371,668 .0044 0.098 .0008
 Revision hip vs revision knee 2.0 (−1.7 to 6.6) .94 87,717 .30 0.164 <.0001
Hip vs knee, infection only
 Infected hip vs infected knee −2.7 (−6.2 to 0.4) .16 26,309 .089 0.125 .056
 Infected primary hip vs infected primary knee −5.6 (−12.9 to 0.3) .11 7990 .065 0.133 .20
 Infected revision hip vs infected revision knee −2.0 (−5.5 to 1.1) .67 4884 .21 0.198 .046
Primary vs revision, all causes
 All primary vs all revision 17.1 (13.9 to 20.7) <.0001 896,780 <.0001 0.195 <.0001
 Primary hip vs revision hip 18.4 (11.8 to 25.0) <.0001 139,841 <.0001 0.227 <.0001
 Primary knee vs revision knee 16.0 (12.4 to 20.1) <.0001 327,176 <.0001 0.199 <.0001
Primary vs revision, infection only
 Infected primary vs infected revision 11.2 (7.0 to 15.6) <.0001 41,304 <.0001 0.247 <.0001
 Infected primary hip vs infected revision hip 8.3 (1.9 to 15.4) .0089 4564 .0046 0.238 .017
 Infected primary knee vs infected revision knee 13.3 (8.1 to 19.6) <.0001 18,523 <.0001 0.269 <.0001

Hypothesis test results printed in bold are considered significant at the α = 0.05 level.

Due to the diverse nature of the dataset and driving research questions, 3 different statistical tests are relevant to the analysis. Most, but not all, show concordance in assigning significance.

Analysis of variance run on the entire set of included records (Table 4) identified significant effects associated with ordinality and joint type, but not the interaction between these 2 factors. Within the subset of devices explanted for infection, only ordinality was significant.

Table 4.

Two-way analysis of variance results illustrating the relative indwelling time contribution of 2 factors: ordinality (categories: primary, revision) and joint type (categories: hip, knee).

Factor Explants for all causes
Explants for infection
F P value F P value
Ordinality F1,2523 = 87.04 <2 × 10−16 F1,503 = 33.07 1.55 × 10−8
Joint type F1,2523 = 38.59 6.09 × 10−10 F1,503 = 0.34 .56
Interaction F1,2523 = 0.80 .37 F1,503 = 0.81 .37

Hypothesis test results printed in bold are considered significant at the α = 0.05 level.

More detailed comparisons of individual distributions within the full set of records (Table 3) identified a tendency for knees to fail (for any reason, including infection) sooner than hips by an average of 5.6 months (95% CI 2.1-9.4). The median knee was explanted after 38.6 months (95% CI 36.4-41.9), and the median hip after 51.5 months (95% CI 47.1-55.8) (Table 2). This relationship was also associated with a significant (P < .0001) median test; however, results were not consistently significant when the hip vs knee comparison was restricted to only revision components. Within the infected subset, knee and hip prostheses exhibited similar indwelling times. The median septic knee was explanted after 19.7 months (95% CI 17.6-23.8), and the median septic hip after 17.0 months (95% CI 13.4-20.7) (Table 2). The median difference of 2.7 months (95% CI −0.4 to 6.2) was not significant (Table 3).

Revision arthroplasties failed (for any reason, including infection) sooner than primaries by an average of 17.1 months (95% CI 13.9-20.7) (Table 3). The median revision component was explanted after 27.5 months (95% CI 25.3-30.1), and the median primary component after 52.9 months (95% CI 49.3-55.3) (Table 2). Within the infected subset, revision arthroplasties failed sooner than primaries by an average of 11.2 months (95% CI 7.0-15.6) (Table 3). The median septic revision component was explanted after 12.2 months (95% CI 10.5-15.3), and the median septic primary component after 25.7 months (95% CI 21.7-31.5) (Table 2).

Indwelling time distributions for infected retrievals are shown in Figure 3 as approximate, kernel-smoothed densities and as empirical cumulative distributions.

Figure 3.

Figure 3

Distribution of indwelling durations associated with devices explanted for infection among included records from Institutions A and B, shown as Gaussian kernel-smoothed densities (a) and also as empirical cumulative distributions (b). The area below any one probability density function between 2 distinct temporal bounds can be interpreted as the expected conditional probability of a device of the respective category (ie, hip, knee, primary, or revision) having been explanted during the selected time period, given that the device was retrieved due to infection.

Comparison to published reports of PJI timing

The comparative histograms derived by binning raw retrieval indwelling times to mirror relevant clinical studies are illustrated in Figure 4 and detailed in Table 5. Retrieval distributions most strongly reflect the results of studies most similar in design to the retrieval process (ie, those that either enrolled subjects at the time of revision for PJI or those in which maximum follow-up was at least a decade). These similarities are visually apparent in the cases of Schroer et al [13] and Lai et al [7], both of which used endpoint enrollment, as well as in Berbari et al [5] and Vessely et al [14], both of which followed patients for extended durations. Significant chi-squared tests associated with visually similar distributions are not particularly surprising, especially in the case of the comparison to Berbari et al, as large sample sizes lead to detection of small distributional differences that may have little clinical relevance. On the other hand, retrieval distributions suggest a much higher density of late PJI than do studies like Grammatico-Guillon et al [9] and Pulido et al [8], in which patients were enrolled based on the date of the index procedure and followed for relatively short periods of time (maximum of 40 and 76 months, respectively). The chi-squared comparisons performed against these distributions produced much larger values of the test statistic, indicating that there is strong evidence of a difference in distributions.

Figure 4.

Figure 4

Graphical comparison of the temporal distributions of PJI as published in the clinical literature (solid bars) and those observed through retrieval analysis (dashed bars). Studies in the top 2 rows examine hip and knee arthroplasty together [5], [7], [8], [9], [10], those in the middle row examine hip replacement [11], [12], and those in the last 2 rows examine knee replacement [4], [13], [14], [15], [16], [17]. Higher values of the χ2 statistic indicate stronger evidence that retrieval and comparative study distributions differ.

Table 5.

Comparison of explant indwelling time distributions with epidemiological characteristics of prosthetic joint infection as published in the clinical literature.

Literature reference
Retrieval data
χ2 DoF P value
Author, year Joint(s) Primary/revision Region/center Study population Enrollment n Mean follow-up Maximum follow-up n Mean follow-up Maximum follow-up
Lai, 2007 Hip, knee Primary Saskatchewan Revision during the 7-y period, looking back to primary Endpoint 52 204 281 47.6 253.1 10.42 3 .015
Berbari, 1998 Hip, knee Primary Mayo Clinic Primary THA and TKA during the 23-y period Index 462 326.4 281 47.6 253.1 15.46 2 .0004
Pulido, 2008 Hip, knee Primary Rothman Primary THA and TKA during the 5-y period Index 63 43 76 281 47.6 253.1 45.16 2 <.0001
Grammatico-Guillon, 2015 Hip, knee Primary France Primary THA and TKA during the 5-y period Index 604 14 40 281 47.6 253.1 161.29 2 <.0001
Huotari, 2015 Hip, knee Primary Finland Primary THA and TKA during the 10-y period Index 1345 156 281 47.6 253.1 201.02 3 <.0001
Phillips, 2003 Hip Revision USA (Medicare) Hip revision during the 1-y period, looking forward to re-revision Index 138 30 2.3 5.1 0.93 2 .63
Phillips, 2003 Hip Primary USA (Medicare) Primary THA during the 1-y period Index 146 22 1.9 4.7 4.66 2 .097
Ong, 2009 Hip Primary USA (Medicare) Primary THA during the 10-y period Index 887 120 94 28.8 115.1 7.91 1 .0049
Schroer, 2013 Knee Primary USA (6 centers) Revision during the 2-y period, looking back to primary Endpoint 137 70.8 372 177 49.7 243.9 1.94 3 .59
Vessely, 2006 Knee Primary Mayo Clinic Primary TKA during the 1.5-y period, 14.5-y minimum follow-up Index 18 188.4 214.8 177 49.7 243.9 1.98 2 .37
Mortazavi, 2010 Knee Primary Rothman Revision during the 7-y period, looking forward to re-revision Index 44 65 159 158 24.3 198.8 17.81 1 <.0001
Kurtz, 2010 Knee Primary USA (Medicare) Primary TKA during the 10-y period Index 1400 158 36.3 116.7 59.95 1 <.0001
Peersman, 2001 Knee Primary, revision HSS Primary or revision during the 7-y period, looking forward to (re)revision Index 97 156 333 37.8 243.9 20.24 1 <.0001
Jamsen, 2009 Knee Primary, revision Finland Primary or revision during the 7-y period, looking forward to (re)revision Index 387 37.2 103.2 333 37.8 243.9 78.93 1 <.0001

DoF, degrees of freedom; THA, total hip arthroplasty; TKA, total knee arthroplasty.

Retrieval data were temporally binned in the same manner as in each paired study, and analyzed using the chi-squared test for independence.

Results printed in bold indicate a statistically significant difference between retrieval and literature distributions at the α = 0.05 level.

Discussion

Given that modern total hip and total knee replacement procedures were first performed in the United States within the last half century (in 1969 and 1971, respectively [18], [19], [20]) and that the average patient presenting for primary arthroplasty is approximately 60 years old [21], researchers have only recently begun to paint a clear picture of the long-term survivorship and failure modes of these interventions. Myriad factors confound extended, longitudinal study of implant failures including the relatively rapid evolution of implant design, introduction of new biomaterials, and shifting patient demographics. As noted by Vessely et al [14], many of the complications observed in the early days of total hip arthroplasty and total knee arthroplasty have now been addressed, leaving infection as a more prominent cause of failure in modern joint replacement.

Results from the present study suggest that approximately 20% of combined hip and knee revision arthroplasties are performed for the purpose of treating PJI. Literature reports are abundant for revision of primary knees, and suggest that 15% [22] to 33% [23] of these procedures are infection related [13], [14], [22], [23], [24], [25], [26]. In this study, 18% (177/999) of primary knee explant records cited infection as the reason for retrieval. We also observed that PJI accounted for a larger fraction of explanted revision components, which is again consistent with the clinical literature [4], [13], [14], [22], [23], [24], [25], [26], [27], [28], [29], [30], [31].

Several authors note that infection is a more prominent cause of revision within the first several years after primary total knee arthroplasty than it is after longer indwelling periods [13], [23], [25], [26], [30]. Schroer et al [13] found that 23% (68/298) of primary knees explanted within 2 years were infected vs 13% (69/546) of those explanted after more than 2 years. Sharkey et al [26] observed somewhat higher proportions (38% within 2 years, and 22% subsequently) during a similar, single-center study that analyzed 781 re-operations of primary knee arthroplasties over a 10-year period. Our retrieval series also suggests that infection accounts for a higher proportion of revisions during early follow-up, with PJI linked to 27% (77/286) of knees explanted within 2 years after primary arthroplasty, and just 14% (100/713) of those explanted beyond 2 years. Although consistency with the clinical literature is unsurprising, it is nevertheless an important observation that must be disseminated to maintain the relevance of retrieval programs.

The kernel-smoothed estimates and empirical cumulative distributions in Figure 3 provide visual confirmation of the results obtained by statistical testing, namely that infected hip and infected knee prostheses are retrieved after similar indwelling periods, and that infected revision devices are generally explanted sooner than infected primaries. Furthermore, these retrieval data suggest that studies with short follow-up are likely to under-report late infections, particularly for primary implants in which more than 10% of revisions may be performed after at least 10 years in vivo.

Determining whether retrievals for PJI corroborate the clinical experience is complicated by the wide variety of study designs and reporting formats followed in the literature [4], [5], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17]. We therefore compared temporal data from retrievals to the literature on a study-by-study basis, ensuring pairwise consistency in histogram binning. Retrieval results were more consistent with some studies than others, suggesting that cohort definition (ie, basing cohorts on the date of index arthroplasty vs the date of PJI diagnosis/treatment) is particularly important and should be considered when interpreting the results of longitudinal infection studies.

Observing PJI from the perspective of retrieved implants is advantageous in that a study of fixed duration can capture infections occurring after significantly longer periods of effective follow-up; for example, indwelling durations prior to revision for infection in our 120-month retrieval study ranged from 0.1 to 253.1 months (21.1 years). By enrolling based on revision procedures, this approach inherently loses nobody to follow-up or death, and is unaffected by the rarity of PJI which typically drives the need for large sample sizes in prospective studies with index-based enrollment. Like arthroplasty registries, retrieval analysis can also provide more breadth than is possible in many clinical series [22]. At this time when nationwide joint registries in the United States are nascent and lack historical data, retrieval centers provide a similar, albeit more sparse, mechanism for aggregating explant records from a broad spectrum of institutions.

The retrieval analysis approach to studying PJI is also subject to a number of consequential limitations, stemming largely from its indirect nature. Retrieval studies by definition exclude arthroplasty cases that are never revised, and thus lack a denominator which precludes calculating incidence. The voluntary nature of many retrieval programs further complicates the matter, making it difficult to even capture all revision cases. Although the design of the present study minimizes this type of selection bias through contractual agreements that ensure near 100% explant capture from the contributing institutions, there nevertheless exists potential for bias if these institutions are not representative of the broader clinical experience with infection. Such effects have been documented elsewhere [23].

Retrieval studies with 100% capture may still under-represent PJI because not every infection results in an explant. In the related context of registry studies, Labek et al [3] noted that absence of a revision does not imply a satisfactory arthroplasty outcome for the patient. In particular, the polyethylene bearings of implants subjected to conservative treatment measures known as “washouts” or Debridement, Antibiotics, and Implant Retention (DAIR) may or may not be contributed for retrieval analysis [32]. Reported prosthesis salvage rates following “radical debridement” and other conservative measures range from as low as 20% to over 80% [32], [33], [34], [35], [36], with successful eradication of PJI depending strongly on early diagnosis, susceptible pathogen(s), and otherwise ideal conditions [32], [35], [36], [37]. Thus, although the number of conservatively managed infections excluded from this retrieval-based analysis of PJI is unknown, the cases in question likely represent only the most treatable subset of septic arthroplasties.

Accurately distinguishing between early/acute and late/chronic PJI is a challenge common to both clinical and retrieval studies. Timing of the presentation does not reliably indicate pathogen route, as robust biofilm communities are known to coalesce on biomaterial surfaces and give rise to acute infections after long periods of dormancy [32], [38]. Recognizing that attributing PJI to a particular vector and route may not always be possible, and also that the clinical treatment plan is largely independent of incubation time, we intentionally made no attempt to distinguish between acute and chronic PJI in this analysis.

A further limitation of the retrieval approach is its dependence on surgeon-reported data, particularly the primary reason for explantation. Several medical bodies have recently formulated complex definitions of PJI to provide clinical guidance in the absence of a complete understanding of the biology and pathophysiology involved [39]; however, the final decision on whether to classify a revision procedure as septic rests with the surgeon. Since the devices included in this study were retrieved by multiple surgeons at each of the 2 participating institutions, some variability is expected in both the reported infection status and the time elapsed between PJI diagnosis and implant retrieval.

Conclusions

Retrieval records paint a clear but incomplete picture of when prosthetic joint infection occurs. In our series of retrievals from 2 institutions, approximately 20% of all revision arthroplasties were performed for the purpose of treating infection, a figure that is higher for re-revisions and also when considering only re-operations performed within the first several years after the index procedure. Implants failed due to infection after a median indwelling time of 18.5 months, while the median failure for all other causes combined occurred after 50.5 months (median difference 23.2 months). Prosthetic hips and knees were explanted for infection after similar indwelling periods of approximately 18 months. The median septic revision of primary joints occurred at 25.7 months, whereas the median septic re-revision was performed after just 12.2 months (median difference 11.2 months). The temporal distribution of PJI cases observed in this retrieval series most closely matches those from studies in which either enrollment was based on the date of revision for infection, or in which follow-up exceeded 10 years. Our data indicate that studies attempting to characterize the temporal aspects of PJI over shorter durations may omit a sizable number of late infections. Although retrieval analysis should not be considered a substitute for high-quality clinical studies designed to characterize the epidemiology of PJI, this approach may provide valuable perspective for physicians and researchers, particularly in the absence of a single, comprehensive joint registry for arthroplasty procedures performed in the United States.

Acknowledgments

The authors wish to express their gratitude to all orthopaedic surgeons who have contributed explants to laboratory studies, and also to acknowledge current and former laboratory staff who cataloged the data upon which this work is based. This study was internally funded from laboratory reserves, and while full author disclosures may be obtained from the editor, none of the disclosed affiliations are relevant to the present work.

Footnotes

One or more of the authors of this paper have disclosed potential or pertinent conflicts of interest, which may include receipt of payment, either direct or indirect, institutional support, or association with an entity in the biomedical field which may be perceived to have potential conflict of interest with this work. For full disclosure statements refer to https://doi.org/10.1016/j.artd.2019.03.007.

Appendix A

Supplementary data to this article can be found online at https://doi.org/10.1016/j.artd.2019.03.007.

Appendix A. Supplementary data

Confilct of interest for the author Abdel
mmc1.pdf (239.6KB, pdf)
Confilct of interest for the author Berry
mmc2.pdf (235KB, pdf)
Confilct of interest for the author Butler
mmc3.pdf (149.4KB, pdf)
Confilct of interest for the author Kokko
mmc4.pdf (104KB, pdf)
Confilct of interest for the author Van Citters
mmc5.pdf (212.7KB, pdf)
Supplement Material
mmc6.docx (136.1KB, docx)

References

  • 1.Kurtz S.M., Lau E.C., Son M.S., Chang E.T., Zimmerli W., Parvizi J. Are we winning or losing the battle with periprosthetic joint infection: trends in periprosthetic joint infection and mortality risk for the Medicare population. J Arthroplasty. 2018;33:3238. doi: 10.1016/j.arth.2018.05.042. [DOI] [PubMed] [Google Scholar]
  • 2.Kurtz S.M., Lau E., Watson H., Schmier J.K., Parvizi J. Economic burden of periprosthetic joint infection in the United States. J Arthroplasty. 2012;27(8 Suppl):61. doi: 10.1016/j.arth.2012.02.022. [DOI] [PubMed] [Google Scholar]
  • 3.Labek G., Thaler M., Janda W., Agreiter M., Stockl B. Revision rates after total joint replacement: cumulative results from worldwide joint register datasets. J Bone Joint Surg Br. 2011;93(3):293. doi: 10.1302/0301-620X.93B3.25467. [DOI] [PubMed] [Google Scholar]
  • 4.Jamsen E., Huhtala H., Puolakka T., Moilanen T. Risk factors for infection after knee arthroplasty. A register-based analysis of 43,149 cases. J Bone Joint Surg Am. 2009;91(1):38. doi: 10.2106/JBJS.G.01686. [DOI] [PubMed] [Google Scholar]
  • 5.Berbari E.F., Hanssen A.D., Duffy M.C. Risk factors for prosthetic joint infection: case-control study. Clin Infect Dis. 1998;27(5):1247. doi: 10.1086/514991. [DOI] [PubMed] [Google Scholar]
  • 6.Altman D.G., Machin D., Bryant T.N., Gardner M.J., editors. Statistics with confidence: confidence intervals and statistical guidelines. 2nd ed. BMJ Books; London: 2000. p. 240. [Google Scholar]
  • 7.Lai K., Bohm E.R., Burnell C., Hedden D.R. Presence of medical comorbidities in patients with infected primary hip or knee arthroplasties. J Arthroplasty. 2007;22(5):651. doi: 10.1016/j.arth.2006.09.002. [DOI] [PubMed] [Google Scholar]
  • 8.Pulido L., Ghanem E., Joshi A., Purtill J.J., Parvizi J. Periprosthetic joint infection: the incidence, timing, and predisposing factors. Clin Orthop Relat Res. 2008;466(7):1710. doi: 10.1007/s11999-008-0209-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Grammatico-Guillon L., Baron S., Rosset P. Surgical site infection after primary hip and knee arthroplasty: a cohort study using a hospital database. Infect Control Hosp Epidemiol. 2015;36(10):1198. doi: 10.1017/ice.2015.148. [DOI] [PubMed] [Google Scholar]
  • 10.Huotari K., Peltola M., Jamsen E. The incidence of late prosthetic joint infections: a registry-based study of 112,708 primary hip and knee replacements. Acta Orthop. 2015;86(3):321. doi: 10.3109/17453674.2015.1035173. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Phillips C.B., Barrett J.A., Losina E. Incidence rates of dislocation, pulmonary embolism, and deep infection during the first six months after elective total hip replacement. J Bone Joint Surg Am. 2003;85-A(1):20. doi: 10.2106/00004623-200301000-00004. [DOI] [PubMed] [Google Scholar]
  • 12.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 Arthroplasty. 2009;24(6 Suppl):105. doi: 10.1016/j.arth.2009.04.027. [DOI] [PubMed] [Google Scholar]
  • 13.Schroer W.C., Berend K.R., Lombardi A.V. Why are total knees failing today? Etiology of total knee revision in 2010 and 2011. J Arthroplasty. 2013;28(8 Suppl):116. doi: 10.1016/j.arth.2013.04.056. [DOI] [PubMed] [Google Scholar]
  • 14.Vessely M.B., Whaley A.L., Harmsen W.S., Schleck C.D., Berry D.J. The Chitranjan Ranawat Award: long-term survivorship and failure modes of 1000 cemented condylar total knee arthroplasties. Clin Orthop Relat Res. 2006;452:28. doi: 10.1097/01.blo.0000229356.81749.11. [DOI] [PubMed] [Google Scholar]
  • 15.Mortazavi S.M., Schwartzenberger J., Austin M.S., Purtill J.J., Parvizi J. Revision total knee arthroplasty infection: incidence and predictors. Clin Orthop Relat Res. 2010;468(8):2052. doi: 10.1007/s11999-010-1308-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Peersman G., Laskin R., Davis J., Peterson M. Infection in total knee replacement: a retrospective review of 6489 total knee replacements. Clin Orthop Relat Res. 2001;392:15. [PubMed] [Google Scholar]
  • 17.Kurtz S.M., Ong K.L., Lau E., Bozic K.J., Berry D., Parvizi J. Prosthetic joint infection risk after TKA in the Medicare population. Clin Orthop Relat Res. 2010;468(1):52. doi: 10.1007/s11999-009-1013-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Maradit Kremers H., Larson D.R., Crowson C.S. Prevalence of total hip and knee replacement in the United States. J Bone Joint Surg Am. 2015;97(17):1386. doi: 10.2106/JBJS.N.01141. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Tsaras G., Osmon D.R., Mabry T. Incidence, secular trends, and outcomes of prosthetic joint infection: a population-based study, Olmsted County, Minnesota, 1969-2007. Infect Control Hosp Epidemiol. 2012;33(12):1207. doi: 10.1086/668421. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Engh C.A., Sr. Pioneering in the first century of hip replacement: experiences of a surgeon-designer. Clin Orthop Relat Res. 2003;407:35. doi: 10.1097/00003086-200302000-00008. [DOI] [PubMed] [Google Scholar]
  • 21.Hoffmann J.D., Kusnezov N.A., Dunn J.C., Zarkadis N.J., Goodman G.P., Berger R.A. The shift to same-day outpatient joint arthroplasty: a systematic review. J Arthroplasty. 2018;33(4):1265. doi: 10.1016/j.arth.2017.11.027. [DOI] [PubMed] [Google Scholar]
  • 22.Sadoghi P., Liebensteiner M., Agreiter M., Leithner A., Bohler N., Labek G. Revision surgery after total joint arthroplasty: a complication-based analysis using worldwide arthroplasty registers. J Arthroplasty. 2013;28(8):1329. doi: 10.1016/j.arth.2013.01.012. [DOI] [PubMed] [Google Scholar]
  • 23.Hossain F., Patel S., Haddad F.S. Midterm assessment of causes and results of revision total knee arthroplasty. Clin Orthop Relat Res. 2010;468(5):1221. doi: 10.1007/s11999-009-1204-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Australian Orthopaedic Association National Joint Replacement Registry . AOA; Adelaide: 2016. Annual report. [Google Scholar]
  • 25.Sharkey P.F., Hozack W.J., Rothman R.H., Shastri S., Jacoby S.M. Insall Award paper. Why are total knee arthroplasties failing today? Clin Orthop Relat Res. 2002;404:7. doi: 10.1097/00003086-200211000-00003. [DOI] [PubMed] [Google Scholar]
  • 26.Sharkey P.F., Lichstein P.M., Shen C., Tokarski A.T., Parvizi J. Why are total knee arthroplasties failing today—has anything changed after 10 years? J Arthroplasty. 2014;29(9):1774. doi: 10.1016/j.arth.2013.07.024. [DOI] [PubMed] [Google Scholar]
  • 27.Bozic K.J., Kurtz S.M., Lau E., Ong K., Vail T.P., Berry D.J. The epidemiology of revision total hip arthroplasty in the United States. J Bone Joint Surg Am. 2009;91(1):128. doi: 10.2106/JBJS.H.00155. [DOI] [PubMed] [Google Scholar]
  • 28.Bozic K.J., Kurtz S.M., Lau E. The epidemiology of revision total knee arthroplasty in the United States. Clin Orthop Relat Res. 2010;468(1):45. doi: 10.1007/s11999-009-0945-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Paxton E.W., Inacio M.C., Kurtz S., Love R., Cafri G., Namba R.S. Is there a difference in total knee arthroplasty risk of revision in highly crosslinked versus conventional polyethylene? Clin Orthop Relat Res. 2015;473(3):999. doi: 10.1007/s11999-014-4046-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Dalury D.F., Pomeroy D.L., Gorab R.S., Adams M.J. Why are total knee arthroplasties being revised? J Arthroplasty. 2013;28(8 Suppl):120. doi: 10.1016/j.arth.2013.04.051. [DOI] [PubMed] [Google Scholar]
  • 31.Fehring T.K., Odum S., Griffin W.L., Mason J.B., Nadaud M. Early failures in total knee arthroplasty. Clin Orthop Relat Res. 2001;392:315. doi: 10.1097/00003086-200111000-00041. [DOI] [PubMed] [Google Scholar]
  • 32.Tande A.J., Patel R. Prosthetic joint infection. Clin Microbiol Rev. 2014;27(2):302. doi: 10.1128/CMR.00111-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Jamsen E., Varonen M., Huhtala H. Incidence of prosthetic joint infections after primary knee arthroplasty. J Arthroplasty. 2010;25(1):87. doi: 10.1016/j.arth.2008.10.013. [DOI] [PubMed] [Google Scholar]
  • 34.Blom A.W., Brown J., Taylor A.H., Pattison G., Whitehouse S., Bannister G.C. Infection after total knee arthroplasty. J Bone Joint Surg Br. 2004;86(5):688. doi: 10.1302/0301-620x.86b5.14887. [DOI] [PubMed] [Google Scholar]
  • 35.Segawa H., Tsukayama D.T., Kyle R.F., Becker D.A., Gustilo R.B. Infection after total knee arthroplasty. A retrospective study of the treatment of eighty-one infections. J Bone Joint Surg Am. 1999;81(10):1434. doi: 10.2106/00004623-199910000-00008. [DOI] [PubMed] [Google Scholar]
  • 36.Qasim S.N., Swann A., Ashford R. The DAIR (debridement, antibiotics and implant retention) procedure for infected total knee replacement—a literature review. SICOT J. 2017;3:2. doi: 10.1051/sicotj/2016038. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Zimmerli W., Trampuz A., Ochsner P.E. Prosthetic-joint infections. N Engl J Med. 2004;351(16):1645. doi: 10.1056/NEJMra040181. [DOI] [PubMed] [Google Scholar]
  • 38.Costerton J.W., Stewart P.S., Greenberg E.P. Bacterial biofilms: a common cause of persistent infections. Science. 1999;284(5418):1318. doi: 10.1126/science.284.5418.1318. [DOI] [PubMed] [Google Scholar]
  • 39.Parvizi J., Gehrke T., International Consensus Group on Periprosthetic Joint Infection Definition of periprosthetic joint infection. J Arthroplasty. 2014;29(7):1331. doi: 10.1016/j.arth.2014.03.009. [DOI] [PubMed] [Google Scholar]

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Supplementary Materials

Confilct of interest for the author Abdel
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Confilct of interest for the author Berry
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Confilct of interest for the author Butler
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Confilct of interest for the author Van Citters
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