Interrelationship of hemoglobin A1c level lipid profile, uric acid, C-reactive protein levels and age in a large hospital database
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...
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| Format: | Article |
| Language: | English |
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Elsevier
2023-12-01
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| Series: | Molecular and Cellular Probes |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0890850823000427 |
| _version_ | 1797405478513278976 |
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| author | Dlovan Ali Jalal Barna Vásárhelyi Béla Blaha Zoltán Tóth Tamás Géza Szabó Béla Gyarmati |
| author_facet | Dlovan Ali Jalal Barna Vásárhelyi Béla Blaha Zoltán Tóth Tamás Géza Szabó Béla Gyarmati |
| author_sort | Dlovan Ali Jalal |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T03:10:32Z |
| format | Article |
| id | doaj.art-003517561758454980553b9fc3c9fe13 |
| institution | Directory Open Access Journal |
| issn | 0890-8508 |
| language | English |
| last_indexed | 2024-03-09T03:10:32Z |
| publishDate | 2023-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Molecular and Cellular Probes |
| spelling | doaj.art-003517561758454980553b9fc3c9fe132023-12-04T05:21:21ZengElsevierMolecular and Cellular Probes0890-85082023-12-0172101933Interrelationship of hemoglobin A1c level lipid profile, uric acid, C-reactive protein levels and age in a large hospital databaseDlovan Ali Jalal0Barna Vásárhelyi1Béla Blaha2Zoltán Tóth3Tamás Géza Szabó4Béla Gyarmati5Semmelweis University, Department of Laboratory Medicine, Floor 14, Nagyvárad Tér 4, 1089, Budapest, HungarySemmelweis University, Department of Laboratory Medicine, Floor 14, Nagyvárad Tér 4, 1089, Budapest, Hungary; Corresponding author.Semmelweis University, Department of Laboratory Medicine, Floor 14, Nagyvárad Tér 4, 1089, Budapest, HungaryUzsoki Utcai Hospital, Department of Urology, Uzsoki Utca 29-41, 1145 Budapest, HungarySemmelweis University, Department of Laboratory Medicine, Floor 14, Nagyvárad Tér 4, 1089, Budapest, HungaryUzsoki Utcai Hospital, Department of Urology, Uzsoki Utca 29-41, 1145 Budapest, HungaryIntroduction: 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.http://www.sciencedirect.com/science/article/pii/S0890850823000427Haemoglobin-A1cDiabetesLipid levelsC-reactive proteinUric acidData analysis |
| spellingShingle | Dlovan Ali Jalal Barna Vásárhelyi Béla Blaha Zoltán Tóth Tamás Géza Szabó Béla Gyarmati Interrelationship of hemoglobin A1c level lipid profile, uric acid, C-reactive protein levels and age in a large hospital database Molecular and Cellular Probes Haemoglobin-A1c Diabetes Lipid levels C-reactive protein Uric acid Data analysis |
| title | Interrelationship of hemoglobin A1c level lipid profile, uric acid, C-reactive protein levels and age in a large hospital database |
| title_full | Interrelationship of hemoglobin A1c level lipid profile, uric acid, C-reactive protein levels and age in a large hospital database |
| title_fullStr | Interrelationship of hemoglobin A1c level lipid profile, uric acid, C-reactive protein levels and age in a large hospital database |
| title_full_unstemmed | Interrelationship of hemoglobin A1c level lipid profile, uric acid, C-reactive protein levels and age in a large hospital database |
| title_short | Interrelationship of hemoglobin A1c level lipid profile, uric acid, C-reactive protein levels and age in a large hospital database |
| title_sort | interrelationship of hemoglobin a1c level lipid profile uric acid c reactive protein levels and age in a large hospital database |
| topic | Haemoglobin-A1c Diabetes Lipid levels C-reactive protein Uric acid Data analysis |
| url | http://www.sciencedirect.com/science/article/pii/S0890850823000427 |
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