Department of Endocrinology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Department of Endocrinology, The Third Hospital of Mianyang, Sichuan Mental Health Center, Mianyang, Sichuan, China.
J Clin Lab Anal. 2024 Nov;38(21):e25110. doi: 10.1002/jcla.25110. Epub 2024 Oct 10.
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.
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.
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.
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.
中性粒细胞百分比与白蛋白比值(NPAR)与糖尿病相关并发症显著相关。关于糖尿病患者 NPAR 与死亡风险的数据较少。
本研究纳入了 1988 年至 2018 年全国健康和营养调查(NHANES)中的 3858 例糖尿病患者。采用受限立方样条(RCS)显示 NPAR 与死亡风险的关系。多变量 Cox 回归模型用于评估 NPAR 与糖尿病死因和全因死亡的关系。通过时间依赖性接受者操作特征曲线(ROC)检查评估 NPAR 预测生存结局的能力。
在 3858 例糖尿病患者中,平均随访 7.86 年后共有 1198 例(31.1%)死亡;其中,326 例(8.4%)死于糖尿病相关疾病,872 例(22.6%)死于其他原因。RCS 回归分析显示,NPAR 与全因和糖尿病死因死亡率之间呈正线性关系。单因素和多因素分析显示,NPAR 较高组全因和糖尿病死因死亡率均显著升高。与低 NPAR 组相比,高 NPAR 组在全因死亡和糖尿病死因死亡率中的糖尿病病例生存率较低,3 年、5 年和 10 年 ROC 曲线下面积分别为 0.725、0.739 和 0.734 用于全因死亡率和 0.754、0.752 和 0.745 用于糖尿病死因死亡率。
综上所述,我们从 NHANES 数据库(1998-2018 年)中检查了 3858 例糖尿病患者,并提出 NPAR 可作为预测全因和糖尿病死因死亡率的生物标志物。