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

Dlovan Ali Jalal; Barna Vásárhelyi; Béla Blaha; Zoltán Tóth; Tamás Géza Szabó; Béla Gyarmati

doi:10.1016/j.mcp.2023.101933

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

Mol Cell Probes. 2023 Dec:72:101933. doi: 10.1016/j.mcp.2023.101933. Epub 2023 Sep 20.

Authors

Dlovan Ali Jalal¹, Barna Vásárhelyi², Béla Blaha³, Zoltán Tóth⁴, Tamás Géza Szabó⁵, Béla Gyarmati⁶

Affiliations

¹ Semmelweis University, Department of Laboratory Medicine, Floor 14, Nagyvárad Tér 4, 1089, Budapest, Hungary. Electronic address: dlovan.molecular@gmail.com.
² Semmelweis University, Department of Laboratory Medicine, Floor 14, Nagyvárad Tér 4, 1089, Budapest, Hungary. Electronic address: vasarhelyi.barna@med.semmelweis-univ.hu.
³ Semmelweis University, Department of Laboratory Medicine, Floor 14, Nagyvárad Tér 4, 1089, Budapest, Hungary. Electronic address: blaha.bela@semmelweis.hu.
⁴ Uzsoki Utcai Hospital, Department of Urology, Uzsoki Utca 29-41, 1145 Budapest, Hungary. Electronic address: tothzee@gmail.com.
⁵ Semmelweis University, Department of Laboratory Medicine, Floor 14, Nagyvárad Tér 4, 1089, Budapest, Hungary. Electronic address: szabogtamas@gmail.com.
⁶ Uzsoki Utcai Hospital, Department of Urology, Uzsoki Utca 29-41, 1145 Budapest, Hungary. Electronic address: gyarmatib@uzsoki.hu.

PMID: 37722548
DOI: 10.1016/j.mcp.2023.101933

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.

Keywords: C-reactive protein; Data analysis; Diabetes; Haemoglobin-A1c; Lipid levels; Uric acid.

MeSH terms

C-Reactive Protein
Cholesterol
Diabetes Mellitus*
Female
Glycated Hemoglobin
Humans
Infant, Newborn
Male
Triglycerides
Uric Acid*

Substances

Glycated Hemoglobin
Uric Acid
C-Reactive Protein
Triglycerides
Cholesterol