| Title |
Are atrophic long-bone nonunions associated with low-grade infections?
|
|---|---|
| Published in |
Therapeutics and Clinical Risk Management, December 2015
|
| DOI | 10.2147/tcrm.s91532 |
| Pubmed ID | |
| Authors |
Ulrike Dapunt, Ole Spranger, Simone Gantz, Irene Burckhardt, Stefan Zimmermann, Gerhard Schmidmaier, Arash Moghaddam |
| Abstract |
Impaired fracture healing, especially when associated with bacterial infection, is a severe complication following long-bone fractures and requires special treatment. Because standard diagnostic techniques might provide falsely negative results, we evaluated the sonication method for detection of bacteria on implants of patients with fracture nonunions. A total of 49 patients with a nonunion (group NU) and, for comparison, 45 patients who had undergone routine removal of osteosynthetic material (group OM), were included in the study. Five different diagnostic methods (culture of tissue samples, culture of intraoperative swabs, histopathology of tissue samples, culture of sonication fluid, and 16S ribosomal DNA polymerase chain reaction of sonication fluid) were compared and related to clinical data. Among the diagnostic tests, culture of sonication fluid demonstrated by far the highest detection rate of bacteria (57%) in group NU, and rather unexpectedly 40% in group OM. Culture of sonication samples also revealed a broad spectrum of bacteria, in particular Propionibacterium spp. In conclusion, our results indicate that more bacteria can be detected on implants of patients with atrophic nonunions of long-bone fractures by means of the sonication procedure, which provides a valuable additional diagnostic tool to decide on a surgical procedure (eg, two-step procedure) and to further specify antimicrobial therapy. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 19% |
| Other | 4 | 11% |
| Student > Doctoral Student | 4 | 11% |
| Student > Ph. D. Student | 4 | 11% |
| Student > Master | 4 | 11% |
| Other | 5 | 14% |
| Unknown | 8 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 56% |
| Agricultural and Biological Sciences | 2 | 6% |
| Nursing and Health Professions | 1 | 3% |
| Immunology and Microbiology | 1 | 3% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 11 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 December 2015.
All research outputs
#14,915,133
of 25,374,917 outputs
Outputs from Therapeutics and Clinical Risk Management
#638
of 1,323 outputs
Outputs of similar age
#195,486
of 395,418 outputs
Outputs of similar age from Therapeutics and Clinical Risk Management
#14
of 43 outputs
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We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.