| Literature DB >> 25205371 |
Susanna Dunachie1, James Teh, Vivian Ejindu, Philip Bejon, Hemant Pandit, Ivor Byren.
Abstract
BACKGROUND: The management of prosthetic joint infection is complex and there is a lack of standardisation of approaches. We evaluated the role of plain film radiography in predicting prosthesis failure after the first stage of a two-stage revision procedure in a retrospective case-control study.Entities:
Mesh:
Substances:
Year: 2014 PMID: 25205371 PMCID: PMC4168065 DOI: 10.1186/1471-2474-15-300
Source DB: PubMed Journal: BMC Musculoskelet Disord ISSN: 1471-2474 Impact factor: 2.362
Figure 1Post first-stage radiographs were examined for the presence or absence of the following seven features: retained metalwork (not shown), new metalwork (Figure 1 a), retained cement (Figure 1 b), retained restrictor (a radio-opaque plug inserted in the medullary canal during prosthesis placement to restrict the area of cement, Figure 1 c), new fracture (Figure 1 d), local antimicrobial delivery system (for example gentamicin loaded beads, Figure 1 e) and drain (Figure 1 f).
Subject characteristics
|
|
|
| |
|---|---|---|---|
|
|
| ||
| ‘Age | mean years | 66.9 | 70.4 |
| (range) | (46–78) | (56–87) | |
| Gender | Male | 10 | 14 |
| Female | 2 | 15 | |
| Joint | Hip | 4 | 17 |
| Knee | 8 | 12 | |
| Number of previous revisions | 0 previous | 5 | 20 |
| 1 | 5 | 4 | |
| 2 | 1 | 3 | |
| 3 | 0 | 0 | |
| 4 | 1 | 0 | |
| unknown | 0 | 2 | |
The characteristics of the cases and controls the study are displayed.
Figure 2Two musculoskeletal specialist radiologists assessed plain radiographs post first-stage revision for the presence or absence of seven features. The inter-observer consensus of the two radiologists is shown.
Analysis for prediction of failure (binary logistic regression)
|
|
|
|
|
|
| |
|---|---|---|---|---|---|---|
|
|
| Lower | Upper | |||
| Metal remaining | 1 (8.3%) | 0 (0%) | 1.0 | 1 x 1010 | 0 | ∞ |
| New metal | 1 (8.3%) | 0 (0%) | 1.0 | 1 x 1010 | 0 | ∞ |
| Cement | 4 (33.3%) | 9 (31%) | 0.909 | 1.134 | 0.132 | 9.739 |
| Restrictor | 2 (16.7%) | 4 (13.8%) | 0.404 | 3.449 | 0.189 | 63.108 |
| New fracture | 3 (25%) | 5 (17.2%) | 0.654 | 0.481 | 0.020 | 11.807 |
| Antimicrobial device | 1 (8.3%) | 3 (10.3%) | 0.932 | 0.865 | 0.031 | 24.047 |
| Drain | 3 (25%) | 4 (13.8%) | 0.345 | 3.108 | 0.296 | 32.623 |
The table displays binary logistic regression analysis performed for seven variables with the outcome of prosthesis failure, with the model adjusted for age, gender and number of previous revisions.
Figure 3The odds ratios for the presence of each condition compared to the absence predicting prosthesis failure are shown.