中性粒细胞与淋巴细胞比值（NLR）和中性粒细胞百分比（NE%）对脓毒症患者院内死亡率的早期预测作用
The early predictive roles of NLR and NE% in in-hospital mortality of septic patients.
作者信息
Wen Xiaoyue, Zhang Yujing, Xu Jiaxin, Song Chaoying, Shang You, Yuan Shiying, Zhang Jiancheng
机构信息
Department of Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, PR China.
Institute of Anesthesia and Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, PR China.
出版信息
Heliyon. 2024 Feb 19;10(4):e26563. doi: 10.1016/j.heliyon.2024.e26563. eCollection 2024 Feb 29.
BACKGROUND
This study aimed to retrospectively investigate the early predictive value of inflammation-related parameters in-hospital mortality of septic patients.
METHODS
We retrospectively recruited 606 patients from Wuhan Union Hospital from January 2009 to October 2022. The inflammation-related parameters including neutrophil-to-lymphocyte ratio (NLR), neutrophil percentage (NE%), platelet-to-lymphocyte ratio (PLR), and monocyte-to-lymphocyte ratio (MLR) in survivals and non-survivals on day 1, 2, 3 and 7 after hospitalization were collected and analyzed.
RESULTS
NLR and NE% in non-survivals (n = 185) were significantly higher than those in survivals (n = 421). The area under the receiver operating characteristic curve (AUC) of NLR or NE% was 0.880 or 0.852 on day 1, 0.770 or 0.790 on day 2, 0.784 or 0.777 on day 3, and 0.732 or 0.741 on day 7. The optimal cut-off values of NLR or NE% for predicting in-hospital mortality were 10.769 or 87.70% on day 1, 17.544 or 90.69% on day 2, 14.395 or 85.00% on day 3, and 9.105 or 83.93% on day 7. The day 1, 2 and 3 NLR and NE% were significant predictors of in-hospital mortality in the Cox proportional hazards models.
CONCLUSIONS
NLR ≥10.769 and NE% ≥ 87.70% could be used early biomarkers for predicting in-hospital mortality of septic patients.
背景
本研究旨在回顾性调查炎症相关参数对脓毒症患者院内死亡率的早期预测价值。
方法
我们回顾性纳入了2009年1月至2022年10月期间来自武汉协和医院的606例患者。收集并分析了住院后第1、2、3和7天存活组与非存活组患者的炎症相关参数，包括中性粒细胞与淋巴细胞比值（NLR）、中性粒细胞百分比（NE%）、血小板与淋巴细胞比值（PLR）以及单核细胞与淋巴细胞比值（MLR）。
结果
非存活组（n = 185）的NLR和NE%显著高于存活组（n = 421）。NLR或NE%的受试者工作特征曲线下面积（AUC）在第1天为0.880或0.852，第2天为0.770或0.790，第3天为0.784或0.777，第7天为0.732或0.741。预测院内死亡率的NLR或NE%的最佳截断值在第1天为10.769或87.70%，第2天为17.544或90.69%，第3天为14.395或85.00%，第7天为9.105或83.93%。在Cox比例风险模型中，第1、2和3天的NLR和NE%是院内死亡率的显著预测因素。
结论
NLR≥10.769和NE%≥87.70%可作为预测脓毒症患者院内死亡率的早期生物标志物。
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