| Title |
Skin bacterial flora as a potential risk factor predisposing to late bacterial infection after cross-linked hyaluronic acid gel augmentation
|
|---|---|
| Published in |
Infection and Drug Resistance, February 2018
|
| DOI | 10.2147/idr.s154328 |
| Pubmed ID | |
| Authors |
Irina Netsvyetayeva, Wojciech Marusza, Romuald Olszanski, Kamila Szyller, Aneta Krolak-Ulinska, Ewa Swoboda-Kopec, Janusz Sierdzinski, Zachary Szymonski, Grazyna Mlynarczyk |
| Abstract |
Cross-linked hyaluronic acid (HA) gel is widely used in esthetic medicine. Late bacterial infection (LBI) is a rare, but severe complication after HA augmentation. The aim of this study was to determine whether patients who underwent the HA injection procedure and developed LBI had qualitatively different bacterial flora on the skin compared to patients who underwent the procedure without any complications. The study group comprised 10 previously healthy women with recently diagnosed, untreated LBI after HA augmentation. The control group comprised 17 healthy women who had a similar amount of HA injected with no complications. To assess the difference between the two groups, their skin flora was cultured from nasal swabs, both before and after antibiotic treatment in the study group. A significant increase in the incidence ofStaphylococcus epidermidiswas detected in the control group (P=0.000) compared to the study group. The study group showed a significantly higher incidence ofStaphylococcus aureus(P=0.005),Klebsiella pneumoniae(P=0.006),Klebsiella oxytoca(P=0.048), andStaphylococcus haemolyticus(P=0.048) compared to the control group. The bacterial flora on the skin differed in patients with LBI from the control group. The control group's bacterial skin flora was dominated byS. epidermidis. Patients with LBI had a bacterial skin flora dominated by potentially pathogenic bacteria. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 35% |
| Student > Ph. D. Student | 4 | 12% |
| Student > Master | 3 | 9% |
| Student > Doctoral Student | 3 | 9% |
| Other | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 9 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 29% |
| Agricultural and Biological Sciences | 3 | 9% |
| Biochemistry, Genetics and Molecular Biology | 3 | 9% |
| Engineering | 2 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Other | 5 | 15% |
| Unknown | 10 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 28 February 2018.
All research outputs
#20,466,701
of 23,025,074 outputs
Outputs from Infection and Drug Resistance
#1,283
of 1,686 outputs
Outputs of similar age
#377,647
of 440,124 outputs
Outputs of similar age from Infection and Drug Resistance
#30
of 37 outputs
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