Department of Emergency Medicine, School of Medicine, Kyungpook National University, Daegu, Republic of Korea.
Department of Emergency Medicine, Dongguk University Ilsan Hospital, College of Medicine, Dongguk University, Seoul, Republic of Korea.
Hum Exp Toxicol. 2020 Jan;39(1):86-94. doi: 10.1177/0960327119878244. Epub 2019 Sep 26.
Delta neutrophil index (DNI), which reflects the fraction of immature granulocytes, is used to detect infection and sepsis from noninfectious conditions, but few studies have evaluated in the early stage of acute poisoning. This retrospective observational study was performed on acute poisoning patients who visited to the emergency department (ED) and were consecutively admitted in intensive care units over 18-month period. The serial DNI, conventional inflammatory biomarkers, and culture results were obtained in the ED and after admission. The outcomes were the identification of sepsis, bacteremia, and 30-day mortality. Of 166 patients (mean age, 56.0 years) in this cohort, 59 (35.5%) had sepsis and 29 (17.5%) had bacteremia. Initial and peak DNI fractions 24 h after ED admission were strong independent predictors of sepsis development. Analysis of the area under the curve according to multiple receiver operating characteristics showed that DNI had a higher capability to predict sepsis than other parameters (0.815 for DNI, 0.700 for procalcitonin, 0.681 for C-reactive protein, and 0.741 for white blood cell). Using multivariable logistic regression analysis, it was found that DNI was an independent predictor of sepsis (95% confidence interval (CI) of odds: 1.03-1.18) and bacteremia (95% CI: 1.01-1.14). Therefore, initial and serial measurement of DNI may serve as useful risk predictor for development of sepsis or bacteremia in acute poisoning.
中性粒细胞 delta 指数(DNI)反映了不成熟粒细胞的比例,可用于检测感染和败血症等非感染性疾病,但很少有研究评估其在急性中毒的早期阶段的作用。本回顾性观察性研究纳入了在 18 个月期间因急性中毒就诊于急诊并连续入住重症监护病房的患者。在急诊和住院后获得了连续的 DNI、常规炎症生物标志物和培养结果。研究结局为确定是否发生败血症、菌血症和 30 天死亡率。在本队列的 166 名患者(平均年龄 56.0 岁)中,59 名(35.5%)患有败血症,29 名(17.5%)患有菌血症。ED 入院后 24 小时的初始和峰值 DNI 分数是败血症发生的独立强预测因素。根据多接收器操作特性分析曲线下面积显示,DNI 预测败血症的能力高于其他参数(DNI 为 0.815,降钙素原 0.700,C 反应蛋白 0.681,白细胞计数 0.741)。多变量逻辑回归分析发现,DNI 是败血症(优势比的 95%置信区间(CI):1.03-1.18)和菌血症(95%CI:1.01-1.14)的独立预测因素。因此,初始和连续的 DNI 测量可能有助于预测急性中毒患者发生败血症或菌血症的风险。