Multi-level Analysis of HbA1c in Diagnosis and Prognosis of Diabetic Patients.
| Autor: | Mukherjee S; Department of Biochemistry, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, 462020, India., Ray SK; Independent Researcher, Bhopal, Madhya Pradesh, 462020, India., Jadhav AA; Department of Biochemistry, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, 462020, India., Wakode SL; Department of Physiology All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, 462020, India. |
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| Jazyk: | angličtina |
| Zdroj: | Current diabetes reviews [Curr Diabetes Rev] 2024; Vol. 20 (7), pp. e251023222697. |
| DOI: | 10.2174/0115733998262501231015051317 |
| Abstrakt: | Background: Type 2 diabetes (T2D), a multifaceted metabolic disorder, may cause health tribulations and changes in biochemical blood markers. Other research has examined the relationships between several biomarkers and the risk of T2D. Few studies have examined the relationships between these biomarkers and potential changes to the network of biomarkers associated with diabetes. Method: Glycated hemoglobin, or HbA1c, is used to evaluate and track the blood glucose history throughout the previous two to three months of testing. The ability to reflect the cumulative glycemic history of the previous two to three months makes HbA1c an essential biomarker of long-term glycemic control. HbA1c offers a trustworthy indicator of chronic hyperglycemia and strongly correlates with the likelihood of long-term consequences from diabetes. Result: Additionally, elevated HbA1c has been recognized as a stand-alone risk factor for patients with and without diabetes developing coronary heart disease and stroke. One HbA1c test offers a wealth of information that makes it a reliable biomarker for the diagnosis and prognosis of diabetes. A clinical examination may be required to establish the connection between diabetes, prediabetes, biochemical blood indicators, age, and body mass index (BMI). Conclusion: We observed that diabetes, BMI, age, HbA1c, cholesterol, triglycerides, LDL, VLDL, and HDL were all linked using multivariate analysis. (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.) |
| Databáze: | MEDLINE |
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