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探索血小板指标作为2型糖尿病肾病严重程度的预测指标:一项基于医院的横断面分析。

Exploring Platelet Indices as Predictors of Nephropathy Severity in Type 2 Diabetes Mellitus: A Hospital-Based Cross-Sectional Analysis.

作者信息

Sengupta Piyali, Priyadarshini Aparajita, Kumar Behera Pradip, Padarabinda Tripathy Krishna

机构信息

General Medicine, Kalinga Institute of Medical Sciences, Bhubaneswar, IND.

Physiology, Kalinga Institute of Medical Sciences, Bhubaneswar, IND.

出版信息

Cureus. 2024 Oct 18;16(10):e71796. doi: 10.7759/cureus.71796. eCollection 2024 Oct.

DOI:10.7759/cureus.71796
PMID:39553031
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11569825/
Abstract

Background Increased platelet activity in type 2 diabetes mellitus (T2DM) plays a key role in the development of vascular complications. Platelet indices such as mean platelet volume (MPV), platelet distribution width (PDW), platelet large cell ratio (PLCR), and plateletcrit (PCT) reflect both the functional and morphological status of platelets. These indices are markers of inflammation and metabolic dysregulation, which are pivotal in diabetic vasculopathy. If platelet indices correlate with nephropathy severity, they could be used as cost-effective, accessible markers for assessing disease progression in T2DM. Materials and methods This cross-sectional study was conducted at Kalinga Institute of Medical Sciences (KIMS), Bhubaneswar, India, from September 2019 to August 2021. A total of 203 patients with T2DM and nephropathy were included, diagnosed per American Diabetes Association 2017 criteria and staged using Kidney Disease: Improving Global Outcomes (KDIGO) guidelines. Nephropathy was assessed using the albumin-to-creatinine ratio, and the glomerular filtration rate (GFR) was calculated using the Modification of Diet in Renal Disease (MDRD) formula. Venous blood samples were collected to measure platelet indices using the SYSMEX XN-1000 automated analyzer (Sysmex Corporation, Kobe, Japan). Statistical analysis was conducted using Statistical Package for the Social Sciences (IBM SPSS Statistics for Windows, IBM Corp., Version 24.0, Armonk, NY), with a comparison of MPV, PDW, PCT, and PLCR across nephropathy stages performed via the Kruskal-Wallis test. Pairwise comparisons were made using the Mann-Whitney test, with a significance level set at p < 0.05. Results The study population had a mean age of 61.7 ± 12.0 years, with 62.1% over 60 years and a male-to-female ratio of 1.5:1. The average diabetes duration was 8.0 ± 5.2 years. The mean platelet count was 236.4 ± 112.6, and the mean values for MPV, PDW, PCT, and PLCR were 11.4 ± 1.7, 15.2 ± 3.8, 0.28 ± 0.11, and 38.9 ± 11.8, respectively. Most patients (63.1%) were in the early stages of nephropathy (stages 1-3). Significant differences in platelet indices were observed across nephropathy stages, with Kruskal-Wallis p-values of 0.027, 0.009, 0.001, and 0.007 for MPV, PDW, PCT, and PLCR, respectively. Pairwise comparisons showed that platelet indices were significantly elevated in advanced nephropathy stages (stages 4 and 5) compared to early stages (stages 1 and 2) with p < 0.05. Conclusion There is a significant correlation between platelet indices and the severity of nephropathy in T2DM patients. MPV, PDW, PCT, and PLCR all increase in advanced stages of nephropathy, suggesting these indices can be used as surrogate markers for assessing disease progression. Their ease of measurement and cost-effectiveness make them valuable tools in monitoring diabetic nephropathy, offering a simpler and more cost-effective alternative for monitoring disease progression.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81eb/11569825/8141615e2048/cureus-0016-00000071796-i04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81eb/11569825/03d3c82f48f1/cureus-0016-00000071796-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81eb/11569825/50561c522ac3/cureus-0016-00000071796-i02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81eb/11569825/75a90c517912/cureus-0016-00000071796-i03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81eb/11569825/8141615e2048/cureus-0016-00000071796-i04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81eb/11569825/03d3c82f48f1/cureus-0016-00000071796-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81eb/11569825/50561c522ac3/cureus-0016-00000071796-i02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81eb/11569825/75a90c517912/cureus-0016-00000071796-i03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81eb/11569825/8141615e2048/cureus-0016-00000071796-i04.jpg
摘要

背景

2型糖尿病(T2DM)中血小板活性增加在血管并发症的发生发展中起关键作用。血小板平均体积(MPV)、血小板分布宽度(PDW)、血小板大细胞比率(PLCR)和血小板压积(PCT)等血小板指标反映了血小板的功能和形态状态。这些指标是炎症和代谢失调的标志物,在糖尿病血管病变中起关键作用。如果血小板指标与肾病严重程度相关,它们可作为评估T2DM疾病进展的经济有效且易于获取的标志物。

材料和方法

本横断面研究于2019年9月至2021年8月在印度布巴内斯瓦尔的卡林加医学科学研究所(KIMS)进行。共纳入203例T2DM合并肾病患者,根据美国糖尿病协会2017年标准进行诊断,并使用肾脏病:改善全球预后(KDIGO)指南进行分期。使用白蛋白与肌酐比值评估肾病,并使用肾脏病饮食改良(MDRD)公式计算肾小球滤过率(GFR)。采集静脉血样本,使用SYSMEX XN - 1000全自动分析仪(日本神户Sysmex公司)测量血小板指标。使用社会科学统计软件包(IBM SPSS Statistics for Windows,IBM公司,版本24.0,纽约州阿蒙克)进行统计分析,通过Kruskal - Wallis检验比较各肾病阶段的MPV、PDW、PCT和PLCR。使用Mann - Whitney检验进行成对比较,显著性水平设定为p < 0.05。

结果

研究人群的平均年龄为61.7±12.0岁,62.1%的患者年龄超过60岁,男女比例为1.5:1。平均糖尿病病程为8.0±5.2年。平均血小板计数为236.4±112.6,MPV、PDW、PCT和PLCR的平均值分别为11.4±1.7、15.2±3.8、0.28±0.11和38.9±11.8。大多数患者(63.1%)处于肾病早期(1 - 3期)。在各肾病阶段观察到血小板指标存在显著差异,MPV、PDW、PCT和PLCR的Kruskal - Wallis p值分别为0.027、0.009、0.001和0.007。成对比较显示,与早期阶段(1和2期)相比,晚期肾病阶段(4和5期)的血小板指标显著升高,p < 0.05。

结论

T2DM患者的血小板指标与肾病严重程度之间存在显著相关性。MPV、PDW、PCT和PLCR在肾病晚期均升高,表明这些指标可作为评估疾病进展的替代标志物。它们易于测量且具有成本效益,使其成为监测糖尿病肾病的有价值工具,为监测疾病进展提供了一种更简单且成本效益更高的替代方法。

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