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

系统性免疫炎症指数对合并糖尿病或糖尿病前期的心血管疾病患者心血管疾病死亡率和全因死亡率的预后价值

阅读:1

Abstract

BACKGROUND: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。