Xi Di, Yu Hailun, Yu Tong
Department of Dermatology, Friendship Plastic Surgery Hospital of Nanjing Medical University Nanjing 210000, Jiangsu, China.
Carrier (Suzhou) Biomedical Co., Ltd. Suzhou 215000, Jiangsu, China.
Am J Transl Res. 2025 Mar 15;17(3):2197-2209. doi: 10.62347/OIFJ6585. eCollection 2025.
This study aims to develop a predictive model for scar risk in patients with facial burns using the Pan-Immune Inflammation Value (PIV) and other serological markers.
A retrospective cohort study was conducted on 367 patients with facial burns treated at a single institution between June 2021 and June 2023. Patients were categorized based on the presence of the scar 7 days post-treatment. Serum markers, including PIV, TNF-α, IL-10, EPO, TGF-β1, and ICAM-1, were measured. Multivariate logistic regression was employed to identify independent predictors of scar formation. A predictive model was developed and validated using a test set of 144 patients.
Scar formation was associated with elevated levels of TNF-α and ICAM-1, and reduced levels of IL-10, EPO, and TGF-β1, indicating a pro-inflammatory profile. Patients with scars showed higher symptom severity, emotional distress, and functional impairment. The predictive model, incorporating these markers, achieved an AUC of 0.815 in the training set and 0.845 in the test set, demonstrating good predictive performance.
Elevated pro-inflammatory markers and altered PIV levels were significant predictors of scar formation in patients with facial burns.
本研究旨在利用全免疫炎症值（PIV）和其他血清学标志物，为面部烧伤患者建立瘢痕风险预测模型。
对2021年6月至2023年6月在单一机构接受治疗的367例面部烧伤患者进行回顾性队列研究。根据治疗后7天瘢痕的存在情况对患者进行分类。检测包括PIV、TNF-α、IL-10、EPO、TGF-β1和ICAM-1在内的血清标志物。采用多因素逻辑回归分析确定瘢痕形成的独立预测因素。使用144例患者的测试集建立并验证预测模型。
瘢痕形成与TNF-α和ICAM-1水平升高以及IL-10、EPO和TGF-β1水平降低相关，表明存在促炎状态。有瘢痕的患者表现出更高的症状严重程度、情绪困扰和功能障碍。纳入这些标志物的预测模型在训练集中的AUC为0.815，在测试集中为0.845，显示出良好的预测性能。
促炎标志物升高和PIV水平改变是面部烧伤患者瘢痕形成的重要预测因素。
