Interrelationship of hemoglobin A1c level lipid profile, uric acid, C-reactive protein levels and age in a large hospital database

IF 2.3 3区 生物学 Q3 BIOCHEMICAL RESEARCH METHODS Molecular and Cellular Probes Pub Date : 2023-09-20 DOI:10.1016/j.mcp.2023.101933
Dlovan Ali Jalal , Barna Vásárhelyi , Béla Blaha , Zoltán Tóth , Tamás Géza Szabó , Béla Gyarmati
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Abstract

Introduction

Hemoglobin A1c (HbA1c) is used to monitor glucose homeostasis and to identify risk for diabetes. As diabetic patients are frequently present with dyslipidaemia, low-grade inflammation and hyperuricemia, we tested whether HbA1c levels can be estimated having the information about lipid profile, uric acid (UA) and C-reactive protein (CRP) levels. We developed formulas to describe the association of these parameters with HbA1c levels.

Methods

Data of 9599 male and 10,817 female patients, measured between 2008 and 2018, were analysed. Patients represented a general hospital patient population with overrepresentation of those with elevated HbA1c over 5.6%. The impact of gender, age, CRP, lipid profile and UA levels on HbA1c % on HbA1c levels was tested with multiple linear regression model. The magnitude of effects of individual factors was used to develop formulas to describe the association between HbA1c and other cardiometabolic parameters. With these formulas we estimated median HbA1c values in each age in both gender and compared them to measured HbA1c levels.

Results

The developed formulas are as follow: HbA1c (estimated) in women = 0.752 + 0.237*log10(HDL/cholesterol) + 0.156*log10 (cholesterol) + 0.077*log10 (triglyceride) + 0.025*log10(CRP) +0.001*log10 (age) −0.026*log10(HDL/LDL) −0.063*log10 (uric acid)-0.075*log10 (LDL)-0.199*log10(HDL); HbA1c (estimated) in men = 1.146 + 0.08*log10 (triglyceride) + 0.046*log10(CRP) + 0.01*log10 (cholesterol) + 0.001*log10 (age) −0.014*log10(HDL)-0.018*log10(HDL/LDL)-0.025*log10(HDL/cholesterol) −0.068*log10 (LDL)-0.159*log10 (uric acid)

Between 20 and 70 years of age, estimated HbA1c matched perfectly to measured HbA1c in.

Conclusion

At population level, HbA1c levels can be estimated almost exactly based on lipid profile, CRP and uric acid levels in female patients between 20 and 70 years.

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大型医院数据库中血红蛋白A1c水平、血脂、尿酸、C反应蛋白水平与年龄的相关性。
简介:血红蛋白A1c(HbA1c)用于监测葡萄糖稳态和识别糖尿病风险。由于糖尿病患者经常出现血脂异常、低度炎症和高尿酸血症,我们测试了是否可以通过脂质概况、尿酸(UA)和C反应蛋白(CRP)水平的信息来估计HbA1c水平。我们开发了公式来描述这些参数与HbA1c水平的关系。方法:分析2008年至2018年间测量的9599名男性和10817名女性患者的数据。患者代表了一个综合医院患者群体,HbA1c升高的患者比例超过5.6%。用多元线性回归模型检验了性别、年龄、CRP、脂质状况和UA水平对HbA1c%和HbA1c水平的影响。个体因素的影响程度被用来制定公式来描述HbA1c和其他心脏代谢参数之间的关系。使用这些公式,我们估计了每个年龄段男女的HbA1c中值,并将其与测量的HbA1c水平进行了比较。结果:女性HbA1c(估计值)=0.752+0.237*log10(高密度脂蛋白/胆固醇)+0.156*log10;男性的HbA1c(估计值)=1.146+0.08*log10(甘油三酯)+0.046*log10,HbA1c水平几乎可以根据20至70岁女性患者的血脂、CRP和尿酸水平准确估计。
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来源期刊
Molecular and Cellular Probes
Molecular and Cellular Probes 生物-生化研究方法
CiteScore
6.80
自引率
0.00%
发文量
52
审稿时长
16 days
期刊介绍: MCP - Advancing biology through–omics and bioinformatic technologies wants to capture outcomes from the current revolution in molecular technologies and sciences. The journal has broadened its scope and embraces any high quality research papers, reviews and opinions in areas including, but not limited to, molecular biology, cell biology, biochemistry, immunology, physiology, epidemiology, ecology, virology, microbiology, parasitology, genetics, evolutionary biology, genomics (including metagenomics), bioinformatics, proteomics, metabolomics, glycomics, and lipidomics. Submissions with a technology-driven focus on understanding normal biological or disease processes as well as conceptual advances and paradigm shifts are particularly encouraged. The Editors welcome fundamental or applied research areas; pre-submission enquiries about advanced draft manuscripts are welcomed. Top quality research and manuscripts will be fast-tracked.
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