Dincer Hilmi Anil, Koci Sara, Cennet Omer, Konan Ali
General Surgery Department, Hacettepe University Faculty of Medicine, Ankara 06230, Turkey.
Medicina (Kaunas). 2025 Sep 19;61(9):1705. doi: 10.3390/medicina61091705.
: Despite the advances in the treatment, severe burns with total burn surface area ≥ 20% are still a major cause of mortality worldwide. Pan-immune inflammation value (PIV) is a novel and promising biomarker to predict prognosis and mortality in various diseases. The aim of this study was to evaluate the utility of PIV to predict in-hospital mortality of patients with severe burn. : This retrospective cross-sectional study included ≥18 years old patients with severe burn who were admitted to hospital within 12-24 h after the burn injury between January 2007 and August 2024. The demographics, clinical and laboratory characteristics of patients were recorded from electronic hospital records. Pan-immune inflammation value was calculated as neutrophil counts x monocyte count x platelet counts divided by lymphocyte counts. The receiver operating characteristic (ROC) analysis was conducted to determine the predictive value of PIV for mortality. : A total of 100 patients (median age 41 (26.3-55) years; 79% male) were included in the study of whom 23 were non-survivors. The PIV was significantly higher in non-survivors when compared to survivors ( = 0.009). The ideal cut-off of PIV was 1185, with a sensitivity of 69.6% and a specificity of 66.2%. The multivariate analysis showed that high PIV along with inhalation injury, and the need for surgery were predictors of in-hospital mortality. : This study is the first to demonstrate that the novel, comprehensive index, PIV, is a reliable immuno-inflammatory marker predicting in-hospital mortality in patients with severe burn.
尽管在治疗方面取得了进展，但烧伤总面积≥20%的严重烧伤仍是全球范围内主要的死亡原因。全免疫炎症值（PIV）是一种用于预测各种疾病预后和死亡率的新型且有前景的生物标志物。本研究的目的是评估PIV预测严重烧伤患者院内死亡率的效用。：这项回顾性横断面研究纳入了2007年1月至2024年8月期间烧伤后12 - 24小时内入院的≥18岁严重烧伤患者。从电子医院记录中记录患者的人口统计学、临床和实验室特征。全免疫炎症值计算为中性粒细胞计数×单核细胞计数×血小板计数除以淋巴细胞计数。进行受试者操作特征（ROC）分析以确定PIV对死亡率的预测价值。：共有100名患者（中位年龄41（26.3 - 55）岁；79%为男性）纳入研究，其中23例死亡。与幸存者相比，非幸存者的PIV显著更高（= 0.009）。PIV的理想截断值为1185，敏感性为69.6%，特异性为66.2%。多变量分析表明，高PIV以及吸入性损伤和手术需求是院内死亡率的预测因素。：本研究首次表明，新型综合指标PIV是预测严重烧伤患者院内死亡率的可靠免疫炎症标志物。
