PDF(Pubmed)
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：
在重症监护医学领域，大量的研究工作集中在确定高危患者群体上.这项研究导致了不同诊断工具的发展，从基本的生物标志物到复杂的索引和集成多种方法的预测算法。鉴于医学的不断发展，在快速进步的推动下，改变治疗策略，和新出现的疾病，诊断工具的开发和验证仍然是一个持续和动态的过程.全血细胞计数成分的特定变化，比如中性粒细胞，淋巴细胞，单核细胞,和血小板,是受各种因素影响的关键免疫系统反应，在全身性炎症中至关重要，损伤,和压力。据报道，诸如中性粒细胞与淋巴细胞比率（NLR）等指标，血小板与淋巴细胞比率（PLR），全身免疫炎症指数（SII），全身炎症反应指数（SIRI），和使用这些元素的各种比率计算的delta中性粒细胞指数，在炎症过程处于最前沿的情况下，是各种结果的重要预测因子。在这篇叙述性评论中，我们的结论是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希望。虽然这些测试是可以访问的，可靠,并且具有成本效益，他们对特定条件的独立预测性能是有限的。
