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Diabetology International

16-04-2024 | Type 2 Diabetes | Original Article

Uric acid is associated with type 2 diabetes: data mining approaches

Authors: Amin Mansoori, Davoud Tanbakuchi, Zahra Fallahi, Fatemeh Asgharian Rezae, Reihaneh Vahabzadeh, Sara Saffar Soflaei, Reza Sahebi, Fatemeh Hashemzadeh, Susan Nikravesh, Fatemeh Rajabalizadeh, Gordon Ferns, Habibollah Esmaily, Majid Ghayour-Mobarhan

Published in: Diabetology International

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Abstract

Background

Several blood biomarkers have been related to the risk of type 2 diabetes mellitus (T2D); however, their predictive value has seldom been assessed using data mining algorithms.

Methods

This cohort study was conducted on 9704 participants recruited from the Mashhad Stroke and Heart Atherosclerotic disorders (MASHAD) study from 2010 to 2020. Individuals who were not between the ages of 35 and 65 were excluded. Serum levels of biochemical factors such as creatinine (Cr), high-sensitivity C reactive protein (hs-CRP), Uric acid, alanine aminotransferase (ALT), aspartate aminotransferase (AST), direct and total bilirubin (BIL.D, BIL.T), lipid profile, besides body mass index (BMI), waist circumference (WC), blood pressure, and age were evaluated through Logistic Regression (LR) and Decision Tree (DT) methods to develop a predicting model for T2D.

Results

The comparison between diabetic and non-diabetic participants represented higher levels of triglyceride (TG), LDL, cholesterol, ALT, BIL.D, and Uric acid in diabetic cases (p-value < 0.05). The LR model indicated a significant association between TG, Uric acid, and hs-CRP, besides age, sex, WC, and blood pressure, hypertension and dyslipidemia history with T2D development. DT algorithm demonstrated dyslipidemia history as the most determining factor in T2D prediction, followed by age, hypertension history, Uric acid, and TG.

Conclusion

There was a significant association between hypertension and dyslipidemia history, TG, Uric acid, and hs-CRP with T2D development, along with age, WC, and blood pressure through the LR and DT methods.

Graphical abstract

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Metadata
Title
Uric acid is associated with type 2 diabetes: data mining approaches
Authors
Amin Mansoori
Davoud Tanbakuchi
Zahra Fallahi
Fatemeh Asgharian Rezae
Reihaneh Vahabzadeh
Sara Saffar Soflaei
Reza Sahebi
Fatemeh Hashemzadeh
Susan Nikravesh
Fatemeh Rajabalizadeh
Gordon Ferns
Habibollah Esmaily
Majid Ghayour-Mobarhan
Publication date
16-04-2024
Publisher
Springer Nature Singapore
Published in
Diabetology International
Print ISSN: 2190-1678
Electronic ISSN: 2190-1686
DOI
https://doi.org/10.1007/s13340-024-00701-0
Obesity Clinical Trial Summary

At a glance: The STEP trials

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A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

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