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.
Mehmet Muzaffer Islam, Merve Osoydan Satici, Serkan Emre Eroglu
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引用次数: 0
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.
在重症监护医学领域,大量的研究工作都集中在识别高危患者群体上。这项研究已开发出多种诊断工具,从基本的生物标记物到复杂的指数和综合多种方法的预测算法,不一而足。由于医学发展日新月异,治疗策略不断变化,新兴疾病层出不穷,因此诊断工具的开发和验证仍是一个持续不断的动态过程。全血细胞计数成分(如中性粒细胞、淋巴细胞、单核细胞和血小板)的特定变化是免疫系统的关键反应,受到各种因素的影响,在全身炎症、损伤和应激中至关重要。据报道,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)以及利用这些元素的不同比率计算的δ中性粒细胞指数等指数,是预测炎症过程处于前沿的各种结果的重要指标。在这篇叙述性综述中,我们得出结论:NLR、PLR、SII 和 SIRI 在预测与炎症有关的不同健康状况的预后方面显示出前景。虽然这些检测方法方便、可靠、成本效益高,但它们对特定病症的独立预测性能却很有限。
期刊介绍:
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.