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临床试验/NCT06670599
NCT06670599尚未招募不适用

Neutrophil-to-Lymphocyte and Platelet-to-lymphocyte Ratios as a Predictor Factors for Chronic Kidney Disease Progression

Assiut University0 个研究点目标入组 200 人开始时间: 2024年11月10日最近更新:
适应症

试验速览

阶段
不适用
状态
尚未招募
入组人数
200
主要终点
Correlation between NLR, PLR and severity of CKD.

研究概览

简要总结

In this study, we aim to investigate whether NLR and PLR levels are associated with decline of kidney function in patients with CKD.

详细描述

Chronic inflammation is closely associated with various chronic diseases, such as diabetes mellitus, cardiovascular disease, and chronic kidney disease (CKD) (1). Patients with CKD tend to have elevated levels of inflammatory mediators, including high-sensitivity C-reactive protein (hs-CRP), tumor necrosis factor alpha (TNF alpha), and interleukin (IL)-6 (2).These mediators stimulate inflammatory pathway, leading to glomerular hypertension, tubulointerstitial fibrosis, kidney scarring, and, finally, CKD progression and increased cardiovascular events (3,4). Therefore, it is important to evaluate and decrease the extent of chronic inflammation in patients with CKD. Patients with CKD have higher levels of proinflammatory cytokines, but it remains unclear which biomarker is the best indicator of inflammation in patients with CKD.

The neutrophil-to-lymphocyte ratio (NLR), obtained by dividing the absolute number of neutrophils to the lymphocyte count, is increasingly studied as a new inflammatory marker. An elevated NLR has recently been reported to be an independent predictor of mortality in patients with cardiovascular disease or cancer [5-8]. As CKD is a chronic inflammatory disease, high NLR can predict CKD progression, cardiovascular disease and cancer. However, significantly few studies have investigated the association between high NLR and CKD progression [9-12].

Platelet-to-lymphocyte ratio (PLR) has recently been recognized as a novel inflammatory marker and has been shown to be associated with the prognosis in CKD patients [13].

In 2012, Kidney Disease: Improving Global Outcome (KDIGO) classified CKD in six categories by GFR estimation (in mL/min/1.73 m2).

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Cross Sectional

入排标准

年龄范围
18 Years 至 65 Years(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • 200 Patients diagnosed with CKD and their age range between 18-65 years old who will be admitted at AUH.

排除标准

  • Pediatric patients aged below< 18 or elderly patients aged above
  • Pregnant females.
  • Patients with Diabetes Mellitus.
  • Acute kidney injury (AKI).
  • Patients with current infections.
  • Patients who have any type of malignancy.
  • Patients who have any type of multi-organ failure.
  • CKD patients on dialysis

结局指标

主要结局

Correlation between NLR, PLR and severity of CKD.

时间窗: Baseline

Correlation between NLR, PLR and severity of CKD.

次要结局

未报告次要终点

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Peter Said Ashamallah Said

Doctor

Assiut University

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