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解读中性粒细胞与淋巴细胞比值、血小板与淋巴细胞比值、全身免疫炎症指数、全身炎症反应指数及中性粒细胞变化指数的临床意义和预后价值:一项广泛的文献综述

Unraveling the clinical significance and prognostic value of the neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, systemic immune-inflammation index, systemic inflammation response index, and delta neutrophil index: An extensive literature review.

作者信息

Islam Mehmet Muzaffer, Satici Merve Osoydan, Eroglu Serkan Emre

机构信息

Department of Emergency Medicine, University of Health Sciences, Umraniye Training and Research Hospital, Istanbul, Turkey.

出版信息

Turk J Emerg Med. 2024 Jan 8;24(1):8-19. doi: 10.4103/tjem.tjem_198_23. eCollection 2024 Jan-Mar.

Abstract

In the field of critical care medicine, substantial research efforts have focused on identifying high-risk patient groups. This research has led to the development of diverse diagnostic tools, ranging from basic biomarkers to complex indexes and predictive algorithms that integrate multiple methods. Given the ever-evolving landscape of medicine, driven by rapid advancements, changing treatment strategies, and emerging diseases, the development and validation of diagnostic tools remains an ongoing and dynamic process. Specific changes in complete blood count components, such as neutrophils, lymphocytes, monocytes, and platelets, are key immune system responses influenced by various factors and crucial in systemic inflammation, injury, and stress. It has been reported that indices such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), and delta neutrophil index calculated using various ratios of these elements, are important predictors of various outcomes in conditions where the inflammatory process is at the forefront. In this narrative review, we concluded that NLR, PLR, SII, and SIRI show promise in predicting outcomes for different health conditions related to inflammation. While these tests are accessible, reliable, and cost-effective, their standalone predictive performance for a specific condition is limited.

摘要

在重症医学领域,大量研究工作聚焦于识别高风险患者群体。这项研究促使了多种诊断工具的开发,从基本生物标志物到复杂指标以及整合多种方法的预测算法。鉴于医学领域不断演变的格局,受快速发展、不断变化的治疗策略和新出现疾病的驱动,诊断工具的开发和验证仍然是一个持续且动态的过程。全血细胞计数成分的特定变化,如中性粒细胞、淋巴细胞、单核细胞和血小板,是受多种因素影响的关键免疫系统反应,在全身炎症、损伤和应激中至关重要。据报道,诸如中性粒细胞与淋巴细胞比值(NLR)、血小板与淋巴细胞比值(PLR)、全身免疫炎症指数(SII)、全身炎症反应指数(SIRI)以及使用这些元素的各种比值计算得出的δ中性粒细胞指数等指标,是炎症过程处于前沿的各种病症中不同结局的重要预测指标。在这篇叙述性综述中,我们得出结论,NLR、PLR、SII和SIRI在预测与炎症相关的不同健康状况的结局方面显示出前景。虽然这些检测方法易于获取、可靠且具有成本效益,但它们对特定病症的独立预测性能有限。

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