非透析慢性肾脏病患者的中性粒细胞与淋巴细胞和血小板与淋巴细胞比率。

IF 2.6 Q3 IMMUNOLOGY International Journal of Inflammation Pub Date : 2021-06-23 eCollection Date: 2021-01-01 DOI:10.1155/2021/6678960
Gysllene M C Brito, Andrea M M Fontenele, Erika Cristina R L Carneiro, Iara Antonia L Nogueira, Tamires B Cavalcante, André A M Vale, Sally Cristina M Monteiro, Natalino Salgado Filho
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引用次数: 11

摘要

背景:中性粒细胞与淋巴细胞比率(NLR)和血小板与淋巴细胞比率是多种疾病的炎症生物标志物,如癌症和心血管疾病;然而,目前对肾脏疾病的研究很少。我们旨在评估非透析患者,并确定NLR和PLR与这些患者炎症的关系。方法:对在马拉尼昂联邦大学医院肾脏疾病预防中心接受治疗的85名不同阶段的慢性肾脏病(CKD)患者进行前瞻性横断面研究。本研究包括诊断为CKD的成年非透析患者。采集参与者的血样进行高敏C反应蛋白(hs-CRP)检测和血液计数。根据hs-CRP值,根据是否存在炎症将参与者分为两组(结果:参与者被分为两类:有炎症(n = 64)且无炎症(n = 21)。平均年龄61.43岁 ± 14.63 y.炎症组和非炎症组的NLR和PLR值有显著差异(分别为p=0.045和p=0.004)。然而,只有PLR与hs-CRP呈显著正相关(p=0.015)。NLR检测炎症的最佳截止点为1.98,敏感性为76.19%,特异性为48.44%。PLR为116.07,敏感性为85.71%,特异性为51.56%。该人群的NLR和PLR曲线下面积之间没有显著差异(0.71对0.64;p=0.186)。结论:本研究表明,非透析性CKD患者的PLR与hs-CRP呈正相关,可用于识别该人群的炎症。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Neutrophil-to-Lymphocyte and Platelet-to-Lymphocyte Ratios in Nondialysis Chronic Kidney Patients.

Background: The Neutrophil-to-Lymphocyte Ratio (NLR) and the Platelet-to-Lymphocyte Ratio (PLR) are inflammatory biomarkers for several diseases, such as cancer and cardiovascular morbidities; however, there are currently few studies on kidney diseases. We aimed to evaluate nondialysis patients and determine the association of NLR and PLR with inflammation in these patients.

Methods: A prospective cross-sectional study was conducted with 85 patients at different stages of chronic kidney disease (CKD), treated at the Kidney Disease Prevention Center of the University Hospital of the Federal University of Maranhão. This study included adult nondialysis patients diagnosed with CKD. The participants' blood samples were collected for a high-sensitivity C-reactive protein (hs-CRP) test and blood count. They were divided into two groups according to the presence or absence of inflammation based on the hs-CRP value (<0.5 mg/dL). NLR and PLR were calculated based on the absolute number of neutrophils, lymphocytes, and platelets and were compared between them and with hs-CRP. Statistical analysis was performed using the Stata software, with the Shapiro-Wilk, Mann-Whitney, Spearman's Correlation, and receiver operating characteristic curve tests. This study was approved by the local ethics committee.

Results: The participants were categorized into two groups: with inflammation (n = 64) and without inflammation (n = 21). The mean age was 61.43 ± 14.63 y. The NLR and PLR values were significantly different between the groups with and without inflammation (p=0.045and p=0.004, respectively). However, only PLR showed a significant positive correlation with hs-CRP (p=0.015). The best cutoff point for NLR to detect inflammation was 1.98, with 76.19% sensitivity and 48.44% specificity. For PLR, it was 116.07, with 85.71% sensitivity and 51.56% specificity. There was no significant difference between the area under the NLR and PLR curve (0.71 vs. 0.64; p=0.186) for this population.

Conclusions: This study showed that PLR was positively correlated with hs-CRP in nondialysis CKD patients and can be used to identify inflammation in this population.

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CiteScore
3.80
自引率
0.00%
发文量
16
审稿时长
16 weeks
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