Department of Cardiovascular Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China.
National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, China.
Inflammopharmacology. 2024 Oct;32(5):3213-3227. doi: 10.1007/s10787-024-01559-z. Epub 2024 Aug 21.
The neutrophil-lymphocyte ratio (NLR) and systemic immune-inflammation index (SII) are emerging inflammatory markers related to cardiovascular outcomes. This study investigated their relationships with cardiovascular disease (CVD) and mortality among individuals with prediabetes or diabetes and assessed their predictive roles.
A cohort of 6871 individuals with diabetes or prediabetes from the NHANES (2001-2018) was included. Weighted multivariate logistic regression models assessed NLR and SII associations with CVD risk, while survey-weighted Cox proportional hazards models evaluated their links to mortality. The predictive accuracy of the biomarkers for mortality was quantified by receiver-operating characteristic (ROC) curve analysis.
Individuals in the higher NLR and SII groups exhibited a high incidence of CVD. A total of 1146 deaths occurred throughout an average follow-up duration of 191 months, of which 382 were caused by CVD. Participants with higher NLR markedly increased the risk of all-cause (HR = 1.82) and cardiovascular mortality (HR = 2.07). A similar result was observed in the higher SII group. RCS analysis identified a linear correlation between NLR and CVD risk and mortality (p > 0.05), while SII showed a nonlinear correlation (p < 0.05). ROC results demonstrated that NLR exhibited a higher predictive ability in mortality than SII.
Elevated levels of NLR and SII correlated with an increased risk of CVD and both all-cause and cardiovascular mortality in individuals with diabetes or prediabetes. The NLR appears to be particularly valuable for assessing risk and predicting outcomes in these patients.
中性粒细胞与淋巴细胞比值(NLR)和全身免疫炎症指数(SII)是与心血管结局相关的新兴炎症标志物。本研究探讨了它们与糖尿病或糖尿病前期个体心血管疾病(CVD)和死亡率的关系,并评估了它们的预测作用。
本研究纳入了来自 NHANES(2001-2018 年)的 6871 例糖尿病或糖尿病前期患者。使用加权多变量逻辑回归模型评估 NLR 和 SII 与 CVD 风险的关系,使用调查加权 Cox 比例风险模型评估它们与死亡率的关系。通过受试者工作特征(ROC)曲线分析评估生物标志物对死亡率的预测准确性。
NLR 和 SII 较高组的个体 CVD 发生率较高。在平均 191 个月的随访期间,共发生 1146 例死亡,其中 382 例死于 CVD。NLR 较高的患者全因(HR=1.82)和心血管死亡率(HR=2.07)显著增加。在 SII 较高组也观察到类似的结果。ROC 分析确定 NLR 与 CVD 风险和死亡率之间存在线性相关(p>0.05),而 SII 则呈非线性相关(p<0.05)。ROC 结果表明,NLR 在死亡率预测方面优于 SII。
NLR 和 SII 水平升高与糖尿病或糖尿病前期个体 CVD 风险以及全因和心血管死亡率增加相关。NLR 似乎特别有助于评估这些患者的风险和预测结局。