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CN 34-1304/RISSN 1674-3679

Volume 29 Issue 5
May  2025
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SHI Yunchu, DU Fengjun, HUANG Yueqing, LU Zilong, XU Chunxiao, GUO Xiaolei, REN Jie, MA Jixiang. Association of systemic inflammatory response index and all-cause mortality in patients with cardiovascular and cerebrovascular diseases[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2025, 29(5): 549-557. doi: 10.16462/j.cnki.zhjbkz.2025.05.008
Citation: SHI Yunchu, DU Fengjun, HUANG Yueqing, LU Zilong, XU Chunxiao, GUO Xiaolei, REN Jie, MA Jixiang. Association of systemic inflammatory response index and all-cause mortality in patients with cardiovascular and cerebrovascular diseases[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2025, 29(5): 549-557. doi: 10.16462/j.cnki.zhjbkz.2025.05.008

Association of systemic inflammatory response index and all-cause mortality in patients with cardiovascular and cerebrovascular diseases

doi: 10.16462/j.cnki.zhjbkz.2025.05.008
Funds:

Jiangsu Provincial Key Medical Discipline ZDXK202252

Key Project of Jiangsu Provincial Health Commission K2023014

Scientific Research Project for Gusu Health Talents Plan in Suzhou City GSWS2022068

More Information
  • Corresponding author: REN Jie, E-mail: qdcdcrenjie@126.com; MA Jixiang, E-mail: majix@163.com
  • Received Date: 2024-11-29
  • Rev Recd Date: 2025-01-27
  • Available Online: 2025-06-28
  • Publish Date: 2025-05-10
  •   Objective   The aim of this study was to analyse the relationship between a novel marker of inflammation, the systemic inflammatory response index (SIRI), and all-cause mortality in patients with cardiovascular and cerebrovascular diseases (CVD).   Methods   This study was based on data from the UK biobank cohort of 35 598 subjects selected for CVD at baseline. Restricted cubic spline, Cox regression model and survival curves were used to investigate the relationship between SIRI and all-cause mortality in patients with CVD. The predictive value of SIRI for patient survival was assessed by time-dependent receiver operating characteristic curve analysis. Data were analysed in subgroups according to variables such as race, smoking and alcohol consumption.   Results   A median follow-up period of 14.19 years revealed that 5 755 all-cause deaths occurred in patients with CVD. A significant J-shaped nonlinear relationship (Pnonlinear < 0.001) between SIRI and all-cause mortality in CVD patients was identified by restricted cubic spline (RCS) analysis, with an optimal range of 0.79-1.05. In patients with CVD, the high SIRI group (SIRI>1.05) exhibited a 49% elevated risk of all-cause mortality (HR=1.49, 95% CI: 1.41-1.58) in comparison to the low SIRI group (SIRI≤1.05). Furthermore, the Q3 group exhibited a 15% elevated risk of morbidity (HR=1.15, 95% CI: 1.06-1.26), while the Q4 group demonstrated a 77% increased risk of morbidity (HR=1.77, 95% CI: 1.63-1.92) in comparison to the Q1 group. The results of the subgroup analyses demonstrated a statistically significant increase in the risk of all-cause mortality in the high SIRI group relative to the low group across all different subgroups, with the exception of those with annual incomes greater than £100 000. Additionally, a significant interactive effect between BMI and SIRI on the risk of all-cause mortality was observed.   Conclusions   The results demonstrated a significant association between elevated levels of SIRI and an increased risk of mortality in patients with cardiovascular and CVD. Furthermore, elevated levels of SIRI were identified as a more accurate predictor of mortality risk at a follow-up period of one year.
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