The prognostic value of the systemic immunity–inflammation index for cardiovascular and all‐cause mortality in cardiovascular disease patients with diabetes or prediabetes

医学 糖尿病前期 糖尿病 内科学 比例危险模型 疾病 全国死亡指数 全国健康与营养检查调查 人口 2型糖尿病 危险系数 内分泌学 置信区间 环境卫生
作者
Zeng Long,Jingyun Du,Jie Hu,Yang Xiao,Can Hou
出处
期刊:Journal of Diabetes Investigation [Asian Association for the Study of Diabetes]
标识
DOI:10.1111/jdi.14383
摘要

The relationship between the systemic immune-inflammatory index (SII) and the prognosis of cardiovascular disease (CVD) patients with diabetes or prediabetes remains uncertain. This study investigated the association between baseline SII and all-cause and cardiovascular mortality in American adults with CVD and diabetes or prediabetes. Our survey included 4,060 adults with cardiovascular disease and diabetes or prediabetes from the National Health and Nutrition Examination Survey (1998-2020). Using restricted cubic splines (RCS) based on Cox regression models and a two-piecewise Cox proportional hazards model for both sides of the inflection point, we elucidated the nonlinear relationship between baseline SII and mortality. Mediation analysis was used to explore the indirect impact of SII on mortality through eGFR. In the median 129 months of follow-up, 620 people died from cardiovascular causes and 1,800 from all causes. In the CVD population with diabetes or prediabetes, SII showed a U-shaped relationship with all-cause mortality. The association between SII and CVD mortality was nonlinear and J-shaped. Stratified and interaction analysis confirmed the stability of the core results. Notably, eGFR partially mediated the association between SII and both all-cause and cardiovascular mortality by 9.4% and 6.9%, respectively. SII revealed a U-shaped relationship with all-cause mortality (inflection point: lnSII = 6) and a J-shaped association with CVD mortality (inflection point: lnSII = 5.73) in CVD patients with diabetes or prediabetes among American patients. Thus, assessing the SII index may offer valuable insights into risk assessment and prognosis in patients with CVD who are diabetic or prediabetic.
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