Back to Search
Start Over
Evaluation of wound fluid biomarkers to determine healing in adults with venous leg ulcers: A prospective study
- Source :
- Wound Repair and Regeneration. 27:509-518
- Publication Year :
- 2019
- Publisher :
- Wiley, 2019.
-
Abstract
- Clinical practice guidelines recommend using repeated wound surface area measurements to determine if a chronic ulcer is healing. This results in delays in determining the healing status. This study aimed to evaluate whether any of a panel of biomarkers can determine the healing status of chronic venous leg ulcers. Forty-two patients with chronic venous leg ulcers had their wound measured and wound fluid collected at weekly time points for 13 weeks. Wound fluid was analyzed using multiplex enzyme-linked immunosorbent assay to determine the concentration of biomarkers in the wound fluid at each weekly time point. Healing status was determined by examining the change in wound size at the previous and subsequent weeks. Predictive accuracy with 95% confidence intervals (CI) is reported. Of 42 patients, 105 evaluable weekly time points were obtained, with 32 classified as healing, 27 as nonhealing, and 46 as indeterminate. Thirteen biomarkers significantly differed between healing and nonhealing wounds (p < 0.1) and were included in a multivariate logistic regression model. Granulocyte macrophage-colony stimulating factor (p < 0.001) and matrix metalloprotease-13 (p = 0.004) were the best predictors of wound healing. Receiver operating characteristic curves indicated 92% accuracy (95% CI: 85%,100%) for granulocyte macrophage-colony stimulating factor, and 78% accuracy (95% CI: 65%,90%) for matrix metalloprotease-13 in discriminating between healing and nonhealing wounds. This study found that two biomarkers from wound fluid can predict healing status in chronic venous leg ulcers. These findings may lead to the ability to determine the future trajectory of a wound and the ability to modify treatment accordingly.
- Subjects :
- medicine.medical_specialty
Receiver operating characteristic
business.industry
Wound surface
Dermatology
Confidence interval
Occlusive dressing
Multivariate logistic regression model
030207 dermatology & venereal diseases
03 medical and health sciences
0302 clinical medicine
Internal medicine
Medicine
Wound fluid
Surgery
business
Wound healing
Prospective cohort study
Subjects
Details
- ISSN :
- 1524475X and 10671927
- Volume :
- 27
- Database :
- OpenAIRE
- Journal :
- Wound Repair and Regeneration
- Accession number :
- edsair.doi...........97c4641c656a50137bcf735302e6a7bc