Association between systemic immune-inflammation index and all-cause and CVD mortality in non-elderly diabetic adults
Bing Hu1, Tong Liu1, Yanxiang Sun1
1Department of Cardiology, Zhongshan City People's Hospital, Zhongshan, Guangdong, China.
Insights
Higher Systemic Immune-Inflammation Index (SII) levels indicate increased cardiovascular disease (CVD) and all-cause mortality risk in non-elderly diabetic adults. This finding highlights SII as a potential biomarker for mortality risk stratification in this population.
Area of Science:
- Cardiovascular Medicine
- Diabetes Research
- Inflammation Biomarkers
Background:
- The Systemic Immune-Inflammation Index (SII) is a known predictor of cardiovascular disease (CVD) and mortality.
- Its specific association with all-cause and CVD mortality in non-elderly diabetic adults requires further investigation.
Purpose of the Study:
- To investigate the relationship between SII and both all-cause and CVD mortality in non-elderly diabetic adults in the United States.
- To explore potential nonlinear associations using Restricted Cubic Splines (RCS).
Main Methods:
- Analysis of 4680 participants from the NHANES (2001–2018) dataset.
- Utilized Cox proportional hazards models and subgroup analyses to assess mortality risk.
- Employed RCS to examine nonlinear relationships between SII and mortality outcomes.
Main Results:
- Higher SII levels were significantly associated with increased CVD mortality (HR = 3.05) and all-cause mortality (HR = 1.97).
- Subgroup analyses confirmed the robustness of these associations.
- RCS revealed a nonlinear association with all-cause mortality and a linear association with CVD mortality.
Conclusions:
- Elevated SII levels are linked to a higher risk of both CVD and all-cause mortality in non-elderly diabetic adults.
- SII may serve as a valuable prognostic marker for mortality in this demographic.
Background:
The Systemic Immune-Inflammation Index (SII) is widely studied for its role in evaluating Cardiovascular Disease (CVD) and mortality. However, its association with all-cause and CVD mortality in non-elderly diabetic adults remains unclear. This study aims to explore the relationship between SII and both all-cause and CVD mortality in non-elderly diabetic adults in the United States.
Methods:
Cox proportional hazards models and subgroup analyses were used to assess the link between SII and mortality. Restricted Cubic Splines (RCS) examined the nonlinear association between SII and mortality.
Results:
Data from 4680 participants in NHANES (2001‒2018) were analyzed. Over an average follow-up of 98.3 months, there were 625 all-cause deaths and 162 CVD-related deaths. Participants were categorized into two SII groups (higher: > 947.625, lower: ≤ 947.625). Multivariable-adjusted models showed that higher SII levels were significantly associated with an increased risk of both CVD mortality (HR = 3.05; 95 % CI 1.85, 5.01) and all-cause mortality (HR = 1.97; 95 % CI 1.50, 2.58). Subgroup analyses confirmed the consistency of these associations. RCS analysis revealed a nonlinear relationship between SII and all-cause mortality, while the association with CVD mortality was linear.
Conclusion:
Higher SII levels in non-elderly diabetic adults in the U.S. are linked to an increased risk of both CVD and all-cause mortality.
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