What is the clinical evidence from this study?

Study design: Observational. Population: Type 2 diabetes (n=400). Intervention: Triglyceride-to-HDL Ratio (TG/HDL >3.5) vs. TG/HDL ≤3.5. Primary outcome: Multi-system complications (≥2 of bone loss, neuropathy, dyslipidemia) (OR 4.82, 95% CI 2.89-8.04, p=<0.001).

What does this research mean for the field?

The Triglyceride-to-HDL ratio outperforms individual lipid parameters and HbA1c as the strongest single predictor of multi-system complications in patients with type 2 diabetes. Novelty: ClaimNovelty.INCREMENTAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

Assess the predictive value of the triglyceride-to-HDL ratio compared to traditional lipid parameters and HbA1c for diabetes complications.

June 7, 2026

1449-P: Triglyceride-to-HDL Ratio Outperforms Individual Lipid Parameters and HbA1c in Predicting Diabetes Complications: Machine-Learning Analysis

Q: What are the key findings of this study?

A triglyceride-to-HDL ratio >3.5 strongly predicted multi-system complications in type 2 diabetes (OR 4.82; 95% CI 2.89-8.04; p<0.001), outperforming HbA1c and individual lipid parameters.

Q: What does this research mean for the field?

The Triglyceride-to-HDL ratio outperforms individual lipid parameters and HbA1c as the strongest single predictor of multi-system complications in patients with type 2 diabetes. Novelty: ClaimNovelty.INCREMENTAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

Q: What question did this study set out to answer?

Assess the predictive value of the triglyceride-to-HDL ratio compared to traditional lipid parameters and HbA1c for diabetes complications.

Key Result

A triglyceride-to-HDL ratio >3.5 strongly predicted multi-system complications in type 2 diabetes (OR 4.82; 95% CI 2.89-8.04; p<0.001), outperforming HbA1c and individual lipid parameters.

Key Points

Assess the predictive value of the triglyceride-to-HDL ratio compared to traditional lipid parameters and HbA1c for diabetes complications.
Machine learning analysis of 400 T2DM patients using Random Forest with SHAP importance.
Evaluated 15 parameters including HbA1c, glucose, duration, age, BMI, and various lipid ratios.
Used 10-fold cross-validation and AUROC assessment to determine optimal predictive parameters.
TG/HDL ratio had the highest importance score of 0.224 compared to other parameters.
AUROC for TG/HDL was 0.82, significantly higher than 0.61 for HbA1c (p<0.001).
Cutpoint TG/HDL >3.5 showed 79% sensitivity and 76% specificity for identifying high-risk patients.

Study Design

Type

Observational (n=400)

Structured PICO

Does the Triglyceride-to-HDL ratio outperform individual lipid parameters and HbA1c in predicting multi-system complications in patients with type 2 diabetes?

Population

400 community-based patients with type 2 diabetes analyzed using machine learning to predict multi-system complications.

Exposure

Triglyceride-to-HDL ratio (TG/HDL)

Comparator

Individual lipid parameters (TG, TC, LDL, HDL, VLDL), HbA1c, glucose, duration, age, BMI, and other lipid ratios

Outcome

Multi-system complications (≥2 of bone loss, neuropathy, dyslipidemia)composite

The triglyceride-to-HDL ratio is a superior predictor of multi-system complications in type 2 diabetes compared to traditional markers like HbA1c and individual lipids, suggesting its utility in routine risk assessment.

Main Result

Odds Ratio: 4.82 (95% CI 2.89–8.04)

p-value: p=<0.001

Abstract

Introduction and Objective: Individual lipid parameters and HbA1c show modest predictive value for complications, yet optimal combination remains unclear. We employed machine learning to identify the strongest predictor of multi-system complications in community-based type 2 diabetes, comparing 15 parameters including novel lipid ratios. Methods: Machine learning analysis of 400 T2DM patients using Random Forest with SHAP importance. Input: HbA1c, glucose, duration, age, BMI, lipids (TG, TC, LDL, HDL, VLDL), plus ratios (TG/HDL, TC/HDL, LDL/HDL, non-HDL). Outcome: multi-system complications (≥2 of bone loss, neuropathy, dyslipidemia). 10-fold cross-validation, AUROC assessment, optimal cutpoints via Youden index. Results: TG/HDL ratio showed highest importance (0.224) versus individual TG (0.168), BMI (0.160), HbA1c (0.085). AUROC: 0.82 for TG/HDL alone versus 0.61 for HbA1c (p0.001). Optimal cutpoint TG/HDL 3.5: sensitivity 79%, specificity 76%, OR 4.82 (CI 2.89-8.04, p0.001). Among HbA1c7% patients (n=168), TG/HDL 3.5 identified high-risk with 58% complications versus 24% (p0.001). Among HbA1c≥8% (n=72), TG/HDL ≤3.5 showed 42% complications versus 81% (p0.001). Individual complications: osteoporosis OR 3.9 (CI 2.1-7.2), neuropathy OR 4.1 (CI 2.3-7.4). Mean TG/HDL: no complications 2.1±0.8, single 3.2±1.1, multiple 4.8±1.6 (p0.001). Conclusion: Triglyceride-to-HDL ratio is the strongest single predictor of complications, outperforming HbA1c and individual lipids. Simple cutpoint (TG/HDL 3.5) identifies high-risk patients despite optimal glycemic control. Findings support incorporating TG/HDL ratio into routine risk assessment and targeting TG/HDL reduction as primary therapeutic strategy. Disclosure A. Bishnoi: None. S. Patil: None. S. Singla: None. A. Raha: None. S.D. Sonawala: None. R. Viegas: None. A. Maheshwari: None.

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