血液学生物标志物在慢性病进展中的预测作用
Collince Odiwuor Ogolla1, Lucy W Karani1, Stanslaus Musyoki2
1Department of Applied Health Science, School of Health Science, Kisii University, Kisii, Kenya.
Journal of clinical laboratory analysis
|December 18, 2025
概括
血红蛋白,中性粒细胞与淋巴细胞比率 (NLR) 和红细胞分布宽度 (RDW) 等血液学生物标志物可以预测慢性病 (CKD) 的进展. 这些简单的标记是有价值的,特别是在资源有限的环境中.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學專業.
- 血液学 血液学 血液学
- 生物标志物发现发现
背景情况:
- 慢性病 (CKD) 是一个重要的全球健康问题,其特点是高发病率.
- 血液学参数显示出作为CKD进展的预测生物标志物的潜力.
研究的目的:
- 调查诊断为CKD的成年患者中各种血液学参数的预测能力.
- 评估特定的血液学标志物与慢性病阶段之间的关联.
主要方法:
- 对120名成年CKD患者的回顾性分析.
- 根据KDIGO指南进行的CKD分期.
- 评价血红蛋白,白细胞计数,中性粒细胞和淋巴细胞百分比,NLR,血小板计数,MCV和RDW.
主要成果:
- 血红蛋白水平随着CKD的进展阶段 (阶段1至阶段5) 显著下降.
- 中性细胞与淋巴细胞的比率 (NLR) 和红细胞分布宽度 (RDW) 显示,随着CKD的阶段显著逐步增加.
- 后勤回归确定了血红蛋白,RDW和NLR作为晚期CKD的独立预测因素.
结论:
- 血液学生物标志物,特别是血红蛋白,NLR和RDW,可以有效预测CKD的进展.
- 这些生物标志物提供了一种具有成本效益的方法来评估CKD的进展,特别是在资源有限的环境中.
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