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中性粒细胞与淋巴细胞与单核细胞比值在预测成人感染性休克患者死亡风险中的应用:一项在单中心进行的回顾性队列研究。

Application of neutrophil-to-lymphocyte-to-monocyte ratio in predicting mortality risk in adult patients with septic shock: A retrospective cohort study conducted at a single center.

作者信息

Lin Xiao-Ming, Zhang Lian-Fang, Wang Yu-Ting, Huang Ting, Lin Xue-Feng, Hong Xiang-Yu, Zheng Hong-Jun, Xie Rong-Cheng, Ma Jie-Fei

机构信息

Department of Critical Care Medicine, Zhongshan Hospital, Fudan University (Xiamen Branch), Xiamen 361015, Fujian province, PR China.

Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, PR China.

出版信息

Heliyon. 2024 Mar 28;10(7):e28809. doi: 10.1016/j.heliyon.2024.e28809. eCollection 2024 Apr 15.

DOI:10.1016/j.heliyon.2024.e28809
PMID:38596065
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11002270/
Abstract

BACKGROUND

Sepsis is a life-threatening condition characterized by an aberrant host response to infection, resulting in multi-organ dysfunction. The application of currently available prognostic indicators for sepsis in primary hospitals is challenging. In this retrospective study, we established a novel index, the neutrophil-to-lymphocyte-to-monocyte ratio (NLMR), based on routine blood examination upon admission, and assessed its prognostic value for early mortality risk in adult patients with septic shock.

METHODS

This study included clinical data from adult patients with septic shock who were admitted to the hospital between January 1, 2018, and December 31, 2022. Training and validation sets were constructed, and patients were categorized into "survival" and "death" groups based on their survival status within the 28-day hospitalization period. Baseline data, including demographic characteristics and comorbidities, and laboratory results, such as complete blood count parameters, were collected for analysis. The Sequential Organ Failure Assessment (SOFA) and Acute Physiology and Chronic Health Evaluation II (APACHE II) scores were documented.The NLMR was determined through the utilization of multivariate binary logistic regression analysis, leading to the development of a risk model aimed at predicting early mortality in adult patients suffering from septic shock.

RESULTS

Overall, 112 adult patients with septic shock were enrolled in this study, with 84 and 28 patients in the training and validation sets, respectively. Multivariate binary logistic analysis revealed that the neutrophil, lymphocyte, and monocyte counts independently contributed to the mortality risk (odds ratios = 1.22, 0.08, and 0.16, respectively). The NLMR demonstrated an area under the receiver operating characteristic curve (ROC-AUC) of 0.83 for internal validation in the training set and 0.97 for external validation in the validation set. Both overall model quality values were significantly high at 0.74 and 0.91, respectively (P < 0.05). NLMR exhibited a higher ROC-AUC value of 0.88 than quick SOFA (ROC-AUC = 0.71), SOFA (ROC-AUC = 0.83), and APACHE II (ROC-AUC = 0.78).

CONCLUSION

NLMR may be a potential marker for predicting the risk of early death in adult patients with septic shock, warranting further exploration and verification.

摘要

背景

脓毒症是一种危及生命的疾病,其特征为机体对感染的异常反应,可导致多器官功能障碍。在基层医院应用目前可用的脓毒症预后指标具有挑战性。在这项回顾性研究中,我们基于入院时的常规血液检查建立了一种新的指标——中性粒细胞与淋巴细胞与单核细胞比值(NLMR),并评估其对成人感染性休克患者早期死亡风险的预后价值。

方法

本研究纳入了2018年1月1日至2022年12月31日期间入院的成人感染性休克患者的临床数据。构建了训练集和验证集,并根据患者在28天住院期间的生存状况将其分为“存活”和“死亡”组。收集基线数据,包括人口统计学特征和合并症,以及实验室检查结果,如全血细胞计数参数,进行分析。记录序贯器官衰竭评估(SOFA)和急性生理与慢性健康状况评分系统II(APACHE II)评分。通过多变量二元逻辑回归分析确定NLMR,从而建立一个旨在预测成人感染性休克患者早期死亡的风险模型。

结果

本研究共纳入112例成人感染性休克患者,其中训练集84例,验证集28例。多变量二元逻辑分析显示,中性粒细胞、淋巴细胞和单核细胞计数独立影响死亡风险(比值比分别为1.22、0.08和0.16)。NLMR在训练集内部验证中的受试者工作特征曲线下面积(ROC-AUC)为0.83,在验证集外部验证中的ROC-AUC为0.97。两个总体模型质量值分别显著较高,为0.74和0.91(P<0.0)。NLMR的ROC-AUC值为0.88,高于快速SOFA(ROC-AUC=0.71)、SOFA(ROC-AUC=0.83)和APACHE II(ROC-AUC=0.78)。

结论

NLMR可能是预测成人感染性休克患者早期死亡风险的潜在标志物,值得进一步探索和验证。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca99/11002270/b9e187916d65/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca99/11002270/ee54ebd9ee81/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca99/11002270/95b3e64b7ed6/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca99/11002270/b9e187916d65/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca99/11002270/ee54ebd9ee81/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca99/11002270/95b3e64b7ed6/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca99/11002270/b9e187916d65/gr3.jpg

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