中性粒细胞百分比与白蛋白比率作为糖尿病患者全因死亡率和糖尿病致死率的生物标志物:来自1988-2018年NHANES的证据。

IF 2.6 4区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY
Yuanyuan Jing, Bowen Tian, Wenzhen Deng, Ziyu Ren, Xunmei Xu, Dongmin Zhang, Jing Zeng, Dongfang Liu
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引用次数: 0

摘要

背景:中性粒细胞百分比与白蛋白比率(NPAR)与糖尿病相关并发症有显著相关性。有关 NPAR 和糖尿病患者死亡风险的数据很少:本研究纳入了 3858 名糖尿病患者,这些患者来自 1988 年至 2018 年进行的美国国家健康与营养调查(NHANES)。使用受限立方样条曲线(RCS)显示了NPAR与死亡风险之间的关系。多变量 Cox 回归模型用于评估 NPAR 与糖尿病病因死亡和全因死亡之间的关系。利用与时间相关的接收器操作特征曲线(ROC)来评估 NPAR 预测生存结果的能力:在 3858 名糖尿病患者中,共有 1198 人(31.1%)在平均 7.86 年的随访期间死亡,其中 326 人(8.4%)与糖尿病相关,872 人(22.6%)死于其他原因。RCS回归分析显示,NPAR与全因死亡率和糖尿病病因死亡率呈正线性关系。在单变量和多变量分析中,高 NPAR 组的全因和糖尿病原因死亡风险明显更高。与低NPAR组相比,高NPAR组糖尿病病例在全因死亡和糖尿病病因死亡中的存活率较低,3年、5年和10年ROC曲线下面积分别为:全因死亡0.725、0.739和0.734,糖尿病病因死亡0.754、0.752和0.745:综上所述,我们研究了NHANES数据库(1998-2018年)中的3858名糖尿病患者,并建议将NPAR作为预测全因死亡率和糖尿病病因死亡率的生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The Neutrophil Percentage-to-Albumin Ratio as a Biomarker for All-Cause and Diabetes-Cause Mortality Among Diabetes Patients: Evidence From the NHANES 1988–2018

The Neutrophil Percentage-to-Albumin Ratio as a Biomarker for All-Cause and Diabetes-Cause Mortality Among Diabetes Patients: Evidence From the NHANES 1988–2018

Background

Neutrophil percentage-to-albumin ratio (NPAR) was significantly correlated with diabetes-related complications. There are little data about NPAR and mortality risk in individuals with diabetes.

Methods

This study included 3858 diabetes patients from the National Health and Nutrition Examination Survey (NHANES) conducted from 1988 to 2018. Using a restricted cubic spline (RCS), the relationship between the NPAR and mortality risk was shown. Multivariable Cox regression models were used to evaluate the relationship between the NPAR and diabetes-cause and all-cause death. An examination of the time-dependent receiver operating characteristic curve (ROC) was used to assess how well the NPAR predicted survival outcomes.

Results

Among 3858 diabetes individuals, a total of 1198 (31.1%) died over a mean follow-up of 7.86 years; of these, 326 (8.4%) had diabetes-related deaths and 872 (22.6%) had deaths from other causes. The RCS regression analysis showed a positive linear association between the NPAR and all-cause and diabetes-cause mortality. High NPAR group had a significantly higher risk of all-cause and diabetes-cause mortality in univariate and multivariate analysis. Compared with low NPAR group, high NPAR group had a low survival rate of diabetes cases in all-cause death and diabetes-cause mortality with area under the curve of the 3-, 5-, and 10-year ROC curve being 0.725, 0.739, and 0.734 for all-cause mortality and 0.754, 0.752, and 0.745 for diabetes-cause mortality, respectively.

Conclusion

In summary, we examined 3858 diabetes patients from NHANES database (1998–2018) and suggested NPAR as a biomarker for all-cause and diabetes-cause mortality prediction.

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来源期刊
Journal of Clinical Laboratory Analysis
Journal of Clinical Laboratory Analysis 医学-医学实验技术
CiteScore
5.60
自引率
7.40%
发文量
584
审稿时长
6-12 weeks
期刊介绍: Journal of Clinical Laboratory Analysis publishes original articles on newly developing modes of technology and laboratory assays, with emphasis on their application in current and future clinical laboratory testing. This includes reports from the following fields: immunochemistry and toxicology, hematology and hematopathology, immunopathology, molecular diagnostics, microbiology, genetic testing, immunohematology, and clinical chemistry.
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