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Related Concept Videos

Diabetes Mellitus: Type 2 and Gestational01:22

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Type 2 diabetes, characterized by insulin resistance, arises when the insulin receptors on cells lose responsiveness to insulin, diminishing the cell's capacity to take up glucose, resulting in elevated blood glucose levels. To receive a diagnosis of Type 2 diabetes, a series of blood glucose tests are necessary to assess whether the blood glucose falls within normal parameters. If the result is out of the normal range, a patient may be diagnosed as prediabetic or diabetic, depending on the...
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Diabetes: Symptoms, Diagnosis, and Complications01:15

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For most patients, experiencing several weeks of polyuria, polydipsia, fatigue, and significant weight loss may indicate the presence of diabetes. Furthermore, adults displaying the phenotypic appearance of type 2 diabetes (particularly those who are obese and not initially insulin-requiring), may have islet cell autoantibodies, suggesting autoimmune-mediated β cell destruction and a diagnosis of latent autoimmune diabetes of adults (LADA). The categorization of glucose homeostasis is...
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Diabetes Mellitus: Overview and Type I Subtype01:22

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Diabetes mellitus is a chronic metabolic disorder characterized by high blood glucose levels due to inadequate insulin production, insulin resistance, or both. The condition affects millions worldwide and can significantly impact their health and quality of life.
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Variability: Analysis01:11

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Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
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Carbohydrate Metabolism01:36

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Carbohydrates are polymers composed of molecules containing atoms of carbon, hydrogen and oxygen. One gram of carbohydrate can provide four kilo-calories of energy, which makes it the most efficient instant energy source.
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Pathophysiology of Diabetes01:20

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Diabetes mellitus is a chronic metabolic disorder characterized by hyperglycemia. The four categories of diabetes are type 1 diabetes, type 2 diabetes, other specific types of diabetes, and gestational diabetes.
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Updated: Sep 21, 2025

Glycemic Impact on Knee Osteoarthritis Symptoms on Physical, Radiographic, and Inflammatory Markers among Individuals Aged 50 and Over with Diabetes
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HbA1c Variability as an Independent Risk Factor for Microvascular Complications in Type 1 Diabetes.

Yuanjie Mao1,2, Wenjun Zhong3

  • 1Diabetes Institute, Ohio University, Athens, OH, USA.

Journal of Diabetes Science and Technology
|June 2, 2022
PubMed
Summary
This summary is machine-generated.

Glycemic variability, measured by HbA1c coefficient of variation, significantly increases the risk of microvascular complications in type 1 diabetes. This metric may aid in risk assessment beyond average HbA1c levels.

Keywords:
glycemic variabilityhemoglobin A1cmicrovascular complicationstype 1 diabetes

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Area of Science:

  • Endocrinology
  • Diabetology
  • Clinical Research

Background:

  • Limited research exists on long-term glycemic variability's impact on type 1 diabetes (T1D) complications.
  • This study investigates HbA1c variability's association with microvascular complications in T1D.

Purpose of the Study:

  • To assess the relationship between HbA1c variability and incident microvascular complications in T1D.
  • To determine if HbA1c variability serves as an independent risk factor for complications.

Main Methods:

  • Utilized data from the DCCT/EDIC study (n=1240) in type 1 diabetes patients.
  • Categorized patients into quartiles based on HbA1c variability (coefficient of variation).
  • Assessed incident microvascular complications over an average follow-up of 20.5 years using multivariable models.

Main Results:

  • Higher HbA1c variability correlated with increased incidence of all microvascular complications.
  • HbA1c variability was independently associated with higher odds of retinopathy, nephropathy, clinical neuropathy, and autonomic neuropathy.
  • The association persisted even after adjusting for mean HbA1c levels, particularly when HbA1c exceeded 7.9%.

Conclusions:

  • HbA1c variability is a significant independent predictor of microvascular complications in type 1 diabetes.
  • HbA1c variability can potentially supplement mean HbA1c in risk stratification for T1D microvascular complications.