| Literature DB >> 32994449 |
Yi Ping Wei1, Ju Chun Chien2, Wei Hsin Hsiang3, Shan Wei Yang1, Chun Yu Chen4,5.
Abstract
Since the past decade, aspirin, a popular anti-inflammatory drug, has been increasingly studied for its potential antimicrobial and antibiofilm activity with promising results, but studies were limited to in vitro and in vivo investigations. Moreover, evidence concerning the beneficial effects of aspirin on the treatment of biofilm-related infections in real-world population is limited. Thus, this study aimed to investigate whether aspirin could promote infection control for patients with periprosthetic joint infections (PJIs). A single-center database was searched. Regular aspirin exposure was defined as a prescription of aspirin for > 6 months before diagnosis of PJIs and consecutive use during the PJI treatment course at a dose ≧ 100 mg/day. General data, treatment modalities, and recurrence status were collected from medical records by an independent orthopedic surgeon. From January 01, 2010, to February 17, 2019, 88 patients who met the PJI criteria were identified and included in this study. Of these patients, 12 were taking aspirin regularly during the infectious events. In the Cox proportional hazards model, multivariate analysis revealed that the aspirin group demonstrated significant benefit via superior resolution of PJIs (HR 2.200; 95% CI 1.018-4.757; p = 0.045). In this study, aspirin is beneficial for infection resolution when combined with the current standard of PJI treatment and conventional antibiotics in the management of PJIs.Entities:
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Year: 2020 PMID: 32994449 PMCID: PMC7524723 DOI: 10.1038/s41598-020-72731-y
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Baseline characteristics of the studied population.
| Characteristics | ASA group (N = 12) | Non-ASA group (N = 76) | |
|---|---|---|---|
| Mean age | 77.67 (range 59–88) | 67.37 (range 36–88) | |
| Gender | 5 male; 7 female | 36 male; 40 female | 0.480 |
| Diabetes mellitus | 5 | 36 | 0.480 |
| Primary arthroplasty | 6 total knee arthroplasty, 3 total hip arthroplasty, 3 hip bipolar hemiarthroplasty | 35 total knee arthroplasty, 25 total hip arthroplasty, 16 hip bipolar hemiarthroplasty | – |
| Smoking habit | 1 | 16 | 0.274 |
| Obesity ([BMI] > 40 kg/m2) | 0 | 9 | 0.249 |
| Late-onset PJI | 12 | 69 | 0.344 |
| 6 | 24 | 0.177 | |
| Hematogenous seeding | 0 | 9 | 0.249 |
| Prosthesis loosening | 2 | 22 | 0.306 |
| Treatment success | 9 | 54 | 0.540 |
| Time to infection resolution | median of 2.50 months (IQR, 1.00–9.25 months) | median of 6.00 (IQR, 3.00–12.00) months | – |
IQR Interquartile range.
a Fisher exact test was performed to evaluate the distribution of patients’ factors between the ASA and non-ASA groups.
Cox proportional hazard model analysis of time-to-infection resolution.
| Risk factor | Univariate analysis | Multivariate analysis | ||
|---|---|---|---|---|
| Hazard ratio (95% CI) | Hazard ratio (95% CI) | |||
| Gender (male) | 0.932 (0.567–1.531) | 0.781 | – | – |
| Age (≥ 69 years) | 0.829 (0.502–1.369) | 0.465 | – | – |
| Smoking habit | 1.382 (0.772–2.474) | 0.277 | 1.562 (0.858–2.845) | 0.144 |
| Prosthesis loosening | 0.721 (0.398–1.308) | 0.282 | – | – |
| Hematogenous seeding | 1.579 (0.742–3.36) | 0.236 | – | – |
| ASA use | 1.789 (0.880–3.637) | 0.108 | 2.200 (1.018–4.757) | 0.045 |
| Obesity ([BMI] > 40 kg/m2) | 0.979 (0.421–2.278) | 0.961 | 1.173 (0.492–2.798) | 0.719 |
| Late-onset PJI | 0.833 (0.359–1.933) | 0.670 | – | – |
| Diabetes mellitus | 0.883 (0.538–1.451) | 0.623 | – | – |
| Affected joint (Knee joint) | 1.116 (0.679–1.835) | 0.665 | – | – |
| 0.918 (0.539–1.562) | 0.751 | 0.762 (0.432–1.345) | 0.349 | |
Figure 1Kaplan–Meier curve of time-to-PJI resolution between the ASA and non-ASA groups. (Blue line, non-ASA group; green line, ASA group; blue line with cross point, case in the non-ASA group without infection control; green line with cross point, case in the ASA group without infection control).