淋巴细胞减少症败血症患者的中性粒细胞-淋巴细胞比率和血小板-淋巴细胞比率的预后价值

IF 3.4 Q2 MEDICINE, RESEARCH & EXPERIMENTAL Biomarker Insights Pub Date : 2024-01-04 eCollection Date: 2024-01-01 DOI:10.1177/11772719231223156
Xianming Qiu, Quanzhen Wang, Yuke Zhang, Qiannan Zhao, Zhiming Jiang, Lei Zhou
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引用次数: 0

摘要

背景:炎症在败血症中起着至关重要的作用。整合多种细胞类型的中性粒细胞与淋巴细胞比率(NLR)和血小板与淋巴细胞比率(PLR)为快速评估炎症状态提供了一种新方法。然而,NLR 和 PLR 在伴有淋巴细胞减少的败血症中的预测作用仍不确定:本研究旨在探讨 NLR 和 PLR 在淋巴细胞减少症脓毒症患者中的预后价值:在这项观察性回顾研究中,我们纳入了172名淋巴细胞减少症脓毒症患者,并收集了他们的临床特征进行分析。通过二元逻辑回归分析,我们确定了独立因素。采用接收者工作特征曲线(ROC)和曲线下面积(AUC)来评估预测住院死亡率风险的能力:结果显示,住院总死亡率为 53.49%。多变量分析表明,NLR(OR = 1.11,P P = .003)是与淋巴细胞减少症脓毒症患者住院死亡率相关的独立预测因子。NLR 和 PLR 的 AUC 值为 0.750(95% CI:0.634-0.788,P P 结论:NLR和PLR是淋巴细胞减少症脓毒症患者住院死亡率的独立预测指标。
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Prognostic Value of Neutrophils-to-Lymphocytes Ratio and Platelets-to-Lymphocytes Ratio in Sepsis Patients With Lymphopenia.

Background: Inflammation plays a critical role in sepsis. The integration of neutrophil-to-lymphocyte ratio (NLR) and platelets-to-lymphocytes ratio (PLR) from multiple cell types offers a novel approach to rapidly assess inflammation status. However, the predictive role of NLR and PLR in sepsis with lymphopenia remains uncertain.

Objectives: The purpose of this study was to explore the prognostic value of NLR and PLR in sepsis patients with lymphopenia.

Design and methods: In this observational retrospective study, we included 172 sepsis patients with lymphopenia and collected clinical characteristics for analysis. Through binary logistic regression analysis, we identified independent factors. Receiver-operating characteristic curves (ROC) and areas under the curves (AUC) were employed to assess the ability to predict hospital mortality risk.

Results: Our results showed a total hospital mortality rate of 53.49%. Multivariate analysis demonstrated that NLR (OR = 1.11, P < .001) and PLR (OR = 1.01, P = .003) were independent predictors associated with hospital mortality in sepsis patients with lymphopenia. The AUCs of NLR and PLR were 0.750 (95% CI: 0.634-0.788, P < .001) and 0.662 (95% CI: 0.580-0.743, P < .001), respectively. Notably, an optimal cut-off value of 18.93 for NLR displayed a sensitivity of 75.0% and specificity of 63.0% in discriminating hospital mortality in sepsis patients with lymphopenia, while the optimal cut-off value for PLR was 377.50, with a sensitivity of 67.5% and specificity of 64.1%.

Conclusion: NLR and PLR serve as independent predictors of hospital mortality in sepsis patients with lymphopenia.

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来源期刊
Biomarker Insights
Biomarker Insights MEDICINE, RESEARCH & EXPERIMENTAL-
CiteScore
6.00
自引率
0.00%
发文量
26
审稿时长
8 weeks
期刊介绍: An open access, peer reviewed electronic journal that covers all aspects of biomarker research and clinical applications.
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