Yonsei University College of Medicine, Seoul, Korea.
Institute of Kidney Disease Research, Department of Pediatrics, Severance Children's Hospital, Yonsei University College of Medicine, 50 Yonsei-Ro, Seodaemun-gu, Seoul, 120-752, Korea.
Inflamm Res. 2017 Oct;66(10):863-870. doi: 10.1007/s00011-017-1066-y. Epub 2017 Jun 23.
Delta neutrophil index (DNI) representing the number of immature granulocytes is an emerging marker used in diagnosis of infections and prediction of mortality in infected patients. The present study evaluated the diagnostic accuracy of DNI as a predictive and prognostic factor in infected patients.
We performed a PubMed search on January 1st, 2017 and identified studies that evaluated DNI as either a predictive or prognostic factor in infected patients. Studies with appropriate information to construct 2 × 2 contingency tables were extracted. We calculated pooled sensitivity and specificity. Meta-analysis of the multivariate logistic regression data set was performed to assess whether DNI functions as an independent factor.
Overall, 12 articles fulfilled the inclusion criteria and a total of 499 cases and 9549 controls were examined. As a predictive factor of infection, DNI's pooled sensitivity was 0.67 (95% CI 0.62-0.71, I = 86.0%) and pooled specificity was 0.94 (95% CI 0.94-0.95, I = 92.8%). Area under the receiver operating characteristics (ROC) curve was 0.89. As a prognostic factor for death in infected patients, DNI's pooled sensitivity was 0.70 (95% CI 0.56-0.81, I = 0.0%) and pooled specificity was 0.78 (95% CI 0.73-0.83, I = 26.6%). Area under the ROC curve was 0.84. Meta-analysis of the multivariate logistic regression data set showed insignificant results.
DNI is a potentially useful diagnostic tool and predicts mortality among infected patients and should be more widely used in the clinical practice.
代表未成熟粒细胞数量的中性粒细胞 delta 指数(DNI)是一种新兴的标志物,用于诊断感染和预测感染患者的死亡率。本研究评估了 DNI 作为感染患者的预测和预后因素的诊断准确性。
我们于 2017 年 1 月 1 日在 PubMed 上进行了检索,并确定了评估 DNI 作为感染患者的预测或预后因素的研究。提取了有适当信息构建 2×2 列联表的研究。我们计算了合并的敏感性和特异性。对多变量逻辑回归数据集进行荟萃分析,以评估 DNI 是否作为独立因素。
共有 12 篇文章符合纳入标准,共检查了 499 例病例和 9549 例对照。作为感染的预测因素,DNI 的合并敏感性为 0.67(95%置信区间 0.62-0.71,I=86.0%),合并特异性为 0.94(95%置信区间 0.94-0.95,I=92.8%)。受试者工作特征(ROC)曲线下面积为 0.89。作为感染患者死亡的预后因素,DNI 的合并敏感性为 0.70(95%置信区间 0.56-0.81,I=0.0%),合并特异性为 0.78(95%置信区间 0.73-0.83,I=26.6%)。ROC 曲线下面积为 0.84。多变量逻辑回归数据集的荟萃分析结果无统计学意义。
DNI 是一种潜在有用的诊断工具,可预测感染患者的死亡率,应在临床实践中更广泛地应用。