| Literature DB >> 32838788 |
Bruno Alves Rudelli1, Pedro Nogueira Giglio2, Vladimir Cordeiro de Carvalho2, José Ricardo Pécora2, Henrique Melo Campos Gurgel2, Ricardo Gomes Gobbi2, José Riccardo Negreiros Vicente2, Ana Lucia Lei Munhoz Lima2, Camilo Partezani Helito2.
Abstract
BACKGROUND: Evaluate the effect of bacteria drug resistance profile on the success rates of debridement, antibiotics and implant retention.Entities:
Keywords: Acute post-operative infection; Antibiotics and implant retention); Complications; DAIR (debridement; Multidrug resistant bacteria; Periprosthetic joint infection; Total hip arthroplasty; Total knee arthroplasty
Mesh:
Substances:
Year: 2020 PMID: 32838788 PMCID: PMC7445907 DOI: 10.1186/s12891-020-03570-1
Source DB: PubMed Journal: BMC Musculoskelet Disord ISSN: 1471-2474 Impact factor: 2.362
Criteria for PJI
| Based on the proposed criteria, PJI is defined as follows | |
|---|---|
| (1) Presence of fistula communicating to the prosthesis; or | |
| (2) The same microorganism isolated by culture in at least two separate tissue or fluid samples obtained from the affected joint or prosthesis; or | |
| (3) Four of the following six criteria: | |
| (a) Elevation of erythrocyte sedimentation rate (ESR) and serum C-reactive protein (CRP) concentration, | |
| (b) Elevation of the leukocyte count in the synovial fluid, | |
| (c) Elevation of the percentage of neutrophils, | |
| (d) Presence of purulence in the affected joint, | |
| (e) Isolation of only one microorganism in a culture of the tissue or periprosthetic fluid, or | |
| (f) More than five neutrophils per high power field in at least five high power fields observed from the histological analysis of the periprosthetic tissue at 9400X magnification. |
Multivariate analysis of treatment failure predictors *,**
| Adjusted risk ratio | 95% confidence interval | ||
|---|---|---|---|
| gender | 0.123 | 0.103 | 0.006–1.84 |
| age | 0.782 | 0.967 | 0.766–1.22 |
| time of post-arthroplasty infection (days) | 0.108 | 1.19 | 0.962–1.47 |
| joint (knee or hip) | 0.753 | 1.461 | 0.137–15.52 |
| diabetes | 0.905 | 1.248 45.101 | 0.033–15.52 |
| multidrug-sensitive bacteria | 0.034 | – | – |
| other multidrug-resistant bacteria | 0.048 | 49.967 | 1.039–2402 |
| constant | 0.999 | 0 | – |
*Multivariate logistic regression was performed to investigate the effects of gender, joint affected, diabetes, smoking, inflammatory disease and type of bacteria in the outcome for treatment failure
**Bold values represent statistical significance (p < 0.05)
Demographic data
| Multidrug-sensitive | Other multidrug- resistant bacteria | P | ||
|---|---|---|---|---|
| Number of patients | 37 | 11 | 9 | – |
| TKA | 18 (50.0%) | 4 (36.4%) | 3 (33.3%) | 0.55 |
| THA | 18 (50.0%) | 7 (63.6%) | 6 (66.7%) | 0.55 |
| Age - median (interquartile range) | 68 (10) | 68 (9) | 65 (5) | 0,99 |
| Follow-up time - median Interquartile range) | 5 (2) | 5 (2) | 5 (2) | 0.68 |
| Time of infection after initial surgery (interquartile range) | 25 (20) | 25 (16) | 21 (18) | 0.68 |
| Male gender | 15 (41.7%) | 5 (45.5%) | 2 (22.2%) | 0.51 |
| Osteoarthritis | 33 (91.7%) | 11 (100%) | 9 (100%) | 0.42 |
| Diabetes | 8 (22.2%) | 5 (45.5%) | 1 (11.1%) | 1.00 |
| Smoking | 1 (2.8%) | 0 | 0 | 0.21 |
| Rheumatic disease (Rheumatoid Arthritis) | 3 (8.3%) | 3 (27.3%) | 2 (22.2%) | 0.16 |
Treatment failure between groups
| Multidrug- sensitive | Methicillin-resistant Staphylococcus aureus | Other multidrug- resistant bacteria | Total | P | |
|---|---|---|---|---|---|
| Failure | 3 (8.30%) | 2 (18.20%) | 5 (55.6%) | 10 (18%) | 0.005 |