Role of Blood Cell Indexes in Progresses to ESRD

Author:

Lan Duong Thi Ngoc,Coradduzza DonatellaORCID,Van An Le,Paliogiannis Panagiotis,Chessa Carla,Zinellu Angelo,Mangoni Arduino A.,Carru Ciriaco

Abstract

AbstractChronic kidney disease (CKD) is a complex health condition characterized by the gradual loss of renal function, often leading to end-stage renal disease (ESRD). It results from a combination of medical, environmental, and genetic factors. Predicting the rate of renal function decline and effectively managing the progression to ESRD is challenging in clinical practice. CKD assessment involves various indicators, including estimated glomerular filtration rate (eGFR), albuminuria levels, serum creatinine, and others. This study aimed to explore the predictive potential of specific blood cell indexes in forecasting further renal function decline and the transition from CKD stage 3–4 to ESRD. We assessed the following blood cell indexes in 377 CKD stage 3–4 patients: absolute neutrophil count (ANC), neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), derived NLR (dNLR), mean platelet volume (MPV), aggregate index of systemic inflammation (AISI), and systemic inflammation index (SII). ANC, MPV, NLR, PLR, dNLR, and SII were found to independently predict a rapid decline in eGFR. Notably, NLR and dNLR demonstrated the highest sensitivity and specificity with cut-off values of 3.36 and 2.45, respectively (NLR: 88.6 and 81.7%; dNLR: 85.2 and 75.8%). The corresponding area under the ROC curve values were 0.877 (95% CI 0.837–0.918, p < 0.001) for NLR and 0.849 (95% CI 0.805–0.892, p < 0.001) for dNLR. However, none of the blood cell indexes independently predicted the transition to ESRD. The NLR and the dNLR exhibited the highest predictive capacity towards a rapid decline in renal function in CKD. No blood cell index, however, independently predicted the transition into ERSD.

Funder

Università degli Studi di Sassari

Publisher

Springer Science and Business Media LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3