Suppr超能文献

评估伤口液生物标志物以确定成人静脉性腿部溃疡的愈合情况:一项前瞻性研究。

Evaluation of wound fluid biomarkers to determine healing in adults with venous leg ulcers: A prospective study.

机构信息

Department of Surgery, McMaster University, Hamilton, Ontario, Canada.

School of Medicine, University of Western Australia, Crawley, Western Australia, Australia.

出版信息

Wound Repair Regen. 2019 Sep;27(5):509-518. doi: 10.1111/wrr.12723. Epub 2019 May 27.

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.

摘要

临床实践指南建议使用反复的创面面积测量来确定慢性溃疡是否在愈合。这导致确定愈合状态的延迟。本研究旨在评估一组生物标志物是否可以确定慢性静脉性腿部溃疡的愈合状态。42 例慢性静脉性腿部溃疡患者每周进行一次创面测量和创面液采集,共 13 周。使用多重酶联免疫吸附试验分析创面液,以确定每个每周时间点创面液中生物标志物的浓度。通过检查前一周和后一周的创面大小变化来确定愈合状态。报告了具有 95%置信区间 (CI) 的预测准确性。在 42 例患者中,获得了 105 个可评估的每周时间点,其中 32 个被分类为愈合,27 个为未愈合,46 个为不确定。13 种生物标志物在愈合和未愈合伤口之间存在显著差异(p<0.1),并被纳入多变量逻辑回归模型。粒细胞巨噬细胞集落刺激因子(p<0.001)和基质金属蛋白酶-13(p=0.004)是伤口愈合的最佳预测因子。受试者工作特征曲线表明,粒细胞巨噬细胞集落刺激因子的准确率为 92%(95%CI:85%,100%),基质金属蛋白酶-13 的准确率为 78%(95%CI:65%,90%),可区分愈合和未愈合的伤口。本研究发现,两种来自创面液的生物标志物可预测慢性静脉性腿部溃疡的愈合状态。这些发现可能导致能够确定伤口的未来轨迹并相应地调整治疗的能力。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验