Objective: To evaluate the impact of HbA1c for diagnosis of diabetes and investigate whether cardiovascular risks profiles differ among individuals with diabetes diagnosed by HbA1c or fasting plasma glucose (FPG).
Methods: This cross-sectional study involved 26,884 participants (30.6% women; aged 20-91 years) without known diabetes. Subjects were categorized into 4 groups according to the presence or absence of FPG ≥7.0 mmol/L and/or HbA1c ≥6.5%, which were American Diabetes Association criteria. Oral glucose tolerance test data were not available.
Results: Prevalence of undiagnosed diabetes was 3.6%. Of those individuals, 47.5% fulfilled both two criteria and 26.0% fulfilled only HbA1c criterion. Individuals with diabetes according to FPG ≥7.0 mmol/L alone were characterized as having poorly controlled hypertension while those with HbA1c ≥6.5% alone were characterized as older, female, and having lower blood pressure and γ-glutamyltransferase values. Persons with newly diagnosed diabetes by HbA1c had low HDL cholesterol and high LDL or non-HDL cholesterol levels.
Conclusions: Introducing HbA1c into the diagnosis allowed detection of many previously undiagnosed cases of diabetes in Japanese individuals. Those diagnosed by FPG were characterized by hypertension and those diagnosed by HbA1c had unfavorable lipid profiles, reflecting an atherosclerotic trait.
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http://dx.doi.org/10.1016/j.diabres.2011.10.024 | DOI Listing |
Neuro Endocrinol Lett
December 2024
School of Nursing, Changchun University of Chinese Medicine, Changchun, Jilin, China.
Objective: This study examines the relationship between Glycated hemoglobin A1c (HbA1c) levels and cognitive impairment in elderly patients with complex chronic conditions, a link previously unclear.
Design: This is a cross-sectional study.
Material And Methods: The data from 2,366 patients in Catalonia (2013-2017) from the Dryad database.
Objectives Diabetes mellitus type 2 is a chronic metabolic disorder characterized by insulin resistance and progressive beta-cell dysfunction. As diabetes persists over time, more pronounced symptoms like polyuria, polydipsia, fatigue, and complications like neuropathy, retinopathy, and cardiovascular issues may develop. Therefore, this study assessed the clinical symptoms associated with type 2 diabetes regarding the duration of diabetes.
View Article and Find Full Text PDFJ Diabetes Metab Disord
June 2025
Student Research Committee, Department of Food Science and Technology, Faculty of Nutrition and Food Science, Tabriz University of Medical Sciences, Tabriz, Iran.
Background: Functional foods have been widely used as the anti-diabetic agents worldwide. Existing studies presented conflicting results of anti-hyperglycemic properties of gums. This systematic review and meta-analysis study evaluated the existing trials and determined the efficacy of different gums on glycemic indices.
View Article and Find Full Text PDFAnn Vasc Surg
December 2024
Department of Plastic Surgery, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 755219, United States of America.
Background: Diabetic nephropathy remains a strong risk factor for chronic kidney disease progression. Hemoglobin A1C (HBA1C) has historically been used as a marker for complications related to diabetes.
Objectives: The purpose of this study is to examine the relationship between HBA1C and clinical complications in a patient population with end stage renal disease.
Front Cardiovasc Med
December 2024
Department of Cardiovascular Medicine, Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Objective: This study compared the value of different systemic immune-inflammatory markers for evaluating coronary collateralization (CC) in patients with type 2 diabetes mellitus (T2DM) and chronic total occlusion (CTO).
Methods: Systemic immune-inflammation index (SII), systemic inflammation response index (SIRI) and pan-immune-inflammation value (PIV) were calculated at admission in 1409 T2DM patients with CTO. The degree of coronary collaterals was estimated using the Rentrop scoring system and categorized into poor (Rentrop score 0 or 1) or good (Rentrop score 2 or 3) CC.
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