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July 1, 2026BMC Cardiovascular DisordersOpen Access

Diagnostic value of systemic immune-inflammation composite index combined with triglyceride-glucose index in type 2 diabetes patients with coronary heart disease: a retrospective diagnostic model study

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Key result

Combined SIICI and TyG model identifies CHD in T2DM patients with 0.84 AUC.

  • AUC 0.840
  • 95% CI 0.803-0.877
  • n=599

Why the study?

Coronary heart disease prevalence in type 2 diabetes mellitus has increased substantially, making early identification of high-risk individuals critical.

Does a combined diagnostic model incorporating SIICI and TyG index accurately identify coronary heart disease in patients with type 2 diabetes mellitus?

Population

599 patients with T2DM who underwent coronary angiography

Comparison

CHD (n = 371) vs non-CHD (n = 228)

Design

Retrospective diagnostic model study

Authors

RLRun LiJiangsu UniversityWDWanyu DengAnhui Medical UniversityWZWei ZhangNanjing University of Chinese Medicine

Discussion

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Overview

May support CHD detection in T2DM; leaves open prospective validation before any practice change.

Key Points

  • This study evaluates the diagnostic value of the systemic immune-inflammation composite index and triglyceride-glucose index for coronary heart disease in type 2 diabetes patients.
  • Retrospective enrollment of 599 T2DM patients undergoing coronary angiography, split into CHD (371) and non-CHD (228) groups.
  • Random sampling into training (439) and validation (160) sets; clinical and laboratory data were collected.
  • Logistic regression was used to construct a diagnostic model and evaluate model performance with ROC curves and DCA.
  • CHD patients showed higher median SIICI [5.24 vs. 3.75, P < 0.001] and TyG index [9.36 vs. 8.89, P < 0.001].
  • Independent risk factors identified were SIICI (OR = 1.347, 95% CI: 1.190–1.524) and TyG (OR = 2.843, 95% CI: 1.794–4.507).
  • Combined model achieved an AUC of 0.840 (training) and 0.851 (validation), indicating excellent discriminative ability.

Study Design

Type

Observational (n=599)

Structured PICO

Does a combined diagnostic model incorporating SIICI and TyG index accurately identify coronary heart disease in patients with type 2 diabetes mellitus?

P
Population
599 patients with type 2 diabetes mellitus who underwent coronary angiography, retrospectively evaluated to develop and validate a diagnostic model for coronary heart disease.
E
Exposure
Combined diagnostic model incorporating systemic immune-inflammation composite index (SIICI) and triglyceride-glucose (TyG) index
O
Outcome
Presence of coronary heart disease (CHD) based on angiographic findingssurrogate

Main Result

Effect estimate: AUC 0.840 (95% CI 0.803-0.877)

A combined diagnostic model using SIICI and TyG index provides a non-invasive tool with excellent discriminative ability for identifying coronary heart disease in patients with type 2 diabetes.

Limitations

  • Head-to-head comparisons with traditional risk scores are needed

Cite This Study

Li et al. (2026) conducted an observational in Type 2 diabetes mellitus with suspected coronary heart disease (n=599). Systemic immune-inflammation composite index (SIICI) and triglyceride-glucose (TyG) index vs. Non-CHD group was evaluated on Discrimination of coronary heart disease (training set) (AUC 0.840, 95% CI 0.803-0.877). A combined diagnostic model incorporating SIICI and TyG index accurately identified coronary heart disease in T2DM patients, achieving an AUC of 0.840 (95% CI 0.803-0.877) in the training set.

synapsesocial.com/papers/6a44add75cd2549c8bc43440https://doi.org/10.1186/s12872-026-06006-1
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1The Association Between Markers of Lipid Homeostasis, Inflammation, and Atherosclerosis Index in Patients with Type 2 Diabetes and Coronary Heart Disease Stratified by Glycemic Control: A Cross-Sectional Study.2025 · 5 citations
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