Association between systemic immune inflammation index and mortality risks in type 2 diabetes based on NHANES

Systemic immune-inflammation index (SII) integrates platelet, neutrophil, and lymphocyte counts (LYMPHs) and may reflect systemic inflammation and immune imbalance. Evidence on its prognostic value in type 2 diabetes mellitus (T2DM) remains limited. We investigated the association between SII and risks of all-cause and cardiovascular mortality in adults with T2DM. Data were derived from the National Health and Nutrition Examination Survey 1999 to 2018, including 6035 participants aged ≥ 20 years with T2DM. SII was calculated as platelet count × neutrophil count/ LYMPH and analyzed as both a continuous and a categorical variable (quartiles). Kaplan-Meier survival analysis, multivariable Cox proportional hazards models, and restricted cubic spline (RCS) analyses were performed to assess the association between SII levels and risks of all-cause and cardiovascular mortality. Subgroup analyses were performed to assess the robustness and consistency of the associations across different clinical strata. During a median follow-up of 82 months, 1808 (30.0%) of participants died from any cause and 780 (12.9%) from cardiovascular causes. All-cause cumulative mortality increased from 24.7% (Q1) to 37.6% (Q4); cardiovascular cumulative mortality from 10.9 to 16.4%. In fully adjusted models, each one-unit increase in SII was significantly associated with higher risks of all-cause mortality (HR = 1.15, 95% CI: 1.09-1.19, P < .001) and cardiovascular mortality (HR = 1.16, 95% CI: 1.09-1.22, P < .001). Compared with Q1, participants in Q4 had a 48% higher risk of all-cause death (HR = 1.48, 95% CI: 1.30-1.70, P < .001) and a 41% higher risk of cardiovascular death (HR = 1.41, 95% CI: 1.15-1.72, P = .001). RCS analysis suggested a nonlinear association, with mortality risks increasing steeply beyond an SII threshold of ~489. Exploratory subgroup findings showed no significant interactions. Elevated SII was significantly associated with higher risks of all-cause and cardiovascular mortality in patients with T2DM. These findings highlight the potential value of SII as a cost-effective and readily available biomarker for long-term risk stratification. However, given the observational nature of the study, causality cannot be inferred, and further prospective validation is warranted.

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Journal
Medicine
Published
2025-10-31
DOI
https://doi.org/10.1097/md.0000000000045452
Citations
1
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
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article
Field-Weighted Citation Impact
1.05
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article

Association between systemic immune inflammation index and mortality risks in type 2 diabetes based on NHANES

Daowen Zhang, Weiwei Zhu, Cancan Liu, K Fan
1 citations
Medicine
Inflammatory Biomarkers in Disease Prognosis
1.05
article

Association between systemic immune inflammation index and mortality risks in type 2 diabetes based on NHANES

Daowen Zhang, Weiwei Zhu, Cancan Liu, K Fan
article en
1 citations

Abstract

Systemic immune-inflammation index (SII) integrates platelet, neutrophil, and lymphocyte counts (LYMPHs) and may reflect systemic inflammation and immune imbalance. Evidence on its prognostic value in type 2 diabetes mellitus (T2DM) remains limited. We investigated the association between SII and risks of all-cause and cardiovascular mortality in adults with T2DM. Data were derived from the National Health and Nutrition Examination Survey 1999 to 2018, including 6035 participants aged ≥ 20 years with T2DM. SII was calculated as platelet count × neutrophil count/ LYMPH and analyzed as both a continuous and a categorical variable (quartiles). Kaplan-Meier survival analysis, multivariable Cox proportional hazards models, and restricted cubic spline (RCS) analyses were performed to assess the association between SII levels and risks of all-cause and cardiovascular mortality. Subgroup analyses were performed to assess the robustness and consistency of the associations across different clinical strata. During a median follow-up of 82 months, 1808 (30.0%) of participants died from any cause and 780 (12.9%) from cardiovascular causes. All-cause cumulative mortality increased from 24.7% (Q1) to 37.6% (Q4); cardiovascular cumulative mortality from 10.9 to 16.4%. In fully adjusted models, each one-unit increase in SII was significantly associated with higher risks of all-cause mortality (HR = 1.15, 95% CI: 1.09-1.19, P < .001) and cardiovascular mortality (HR = 1.16, 95% CI: 1.09-1.22, P < .001). Compared with Q1, participants in Q4 had a 48% higher risk of all-cause death (HR = 1.48, 95% CI: 1.30-1.70, P < .001) and a 41% higher risk of cardiovascular death (HR = 1.41, 95% CI: 1.15-1.72, P = .001). RCS analysis suggested a nonlinear association, with mortality risks increasing steeply beyond an SII threshold of ~489. Exploratory subgroup findings showed no significant interactions. Elevated SII was significantly associated with higher risks of all-cause and cardiovascular mortality in patients with T2DM. These findings highlight the potential value of SII as a cost-effective and readily available biomarker for long-term risk stratification. However, given the observational nature of the study, causality cannot be inferred, and further prospective validation is warranted.

MedicineVol. 104(44)
Xuzhou Medical College (CN), Second Affiliated Hospital of Xuzhou Medical College (CN)
Openalex Percentile: Top 16%
Inflammatory Biomarkers in Disease Prognosis
1.05
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