Association of Systemic Inflammation Response Index With All-Cause and Cardiovascular Mortality Among Individuals With Depression: NHANES 2005-2018

系统性炎症反应指数与抑郁症患者全因死亡率和心血管死亡率的相关性:NHANES 2005-2018

阅读:1

Abstract

BACKGROUND: The Systemic Inflammation Response Index (SIRI) has recently been investigated as a new marker of inflammation. This study investigated the association between SIRI and all-cause and cardiovascular mortality risks in patients with depression. METHODS: Based on data from the National Health and Nutrition Examination Survey (NHANES), 2410 participants with depression were included and followed up for all-cause and cardiovascular-related deaths through December 31, 2019. Depression was identified as a 9-item Patient Health Questionnaire (PHQ-9) score ≥10. Weighted multivariate Cox proportional hazards regression analyses assessed the relationship between SIRI and all-cause and cardiovascular mortality. Time-dependent receiver operating characteristic (ROC) curve analysis evaluated SIRI's accuracy in predicting survival outcomes. RESULTS: Among the 2410 participants, 282 all-cause death events and 84 cardiovascular disease (CVD)-related death events were documented. In the fully adjusted models, the highest SIRI tertile was significantly associated with increased risk of all-cause and cardiovascular mortality with hazard ratios (HRs) (95% CIs) of 1.26 (0.79, 2.02) for all-cause mortality and 2.50 (1.22, 5.13) for cardiovascular mortality. This association remained consistent in subgroup and sensitivity analyses. The time-dependent ROC curve showed that the areas under the curve of the 3-, 5-, and 10-year survival rates were 0.702, 0.692, and 0.644 for all-cause mortality, and 0.685, 0.714, and 0.653 for cardiovascular mortality, respectively. CONCLUSION: An elevated SIRI is associated with an increased risk of all-cause and cardiovascular mortality among patients with depression.

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。