Monocyte chemoattractant protein-1 detection in wound tissue fluids for the assisted diagnosis of wound infection

Shin Chen Pan, Yu Feng Wu, Yu Chen Lin, Chao Min Cheng

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Infections are commonly seen in wounds. The overall infection rate is 1.8% to 4.2%. Improper infection management can lead to serious conditions and may progress to life-threatening sepsis. Because there is a need for assistance in predicting wound infection before obvious clinical symptoms, the measurement of cytokines in wound tissue fluids has attracted our attention for determining the overall status of wound infection. Our intent was to assess the potential biomarkers in the diagnosis of wound infection. Methods: We collected 146 tissue fluids (acute: 59, chronic: 61, and normal: 26) for analysis of biomarkers using a human cytokine array. Serum C-reactive protein was also measured from 104 patients. The sensitivity and specificity of significant wound cytokines and serum C-reactive protein for the diagnosis of wound infection were evaluated. Results: Among biomarkers examined, serum C-reactive protein and tissue C-reactive protein were highly expressed in acute infection wounds, whereas monocyte chemoattractant protein-1 was significantly expressed in chronic infection wounds. Because the expression of wound biomarkers varied in different types of wounds, relationships among them were studied. A high correlation between tissue C-reactive protein and interleukin-8 (R2 = 0.7) and a moderate correlation between systemic and local C-reactive protein (R2 = 0.47) were observed. In addition, tissue monocyte chemoattractant protein-1 had better sensitivity (74%) and specificity (65%) in the diagnosis of wound infection. Moreover, combined serum C-reactive protein with monocyte chemoattractant protein-1 examination provided a higher area under the curve in the receiver operator characteristic curve (0.75). Conclusion: We found that tissue monocyte chemoattractant protein-1 is a superior diagnostic marker for assistance with the diagnosis of wound infection.

Original languageEnglish
Pages (from-to)154-161
Number of pages8
JournalSurgery (United States)
Volume176
Issue number1
DOIs
Publication statusPublished - 2024 Jul

All Science Journal Classification (ASJC) codes

  • Surgery

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