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Related Concept Videos

Type II Diabetes II: Pathophysiology01:24

Type II Diabetes II: Pathophysiology

PathophysiologyType 2 diabetes mellitus (T2DM ) is a chronic metabolic disorder characterized by insulin resistance and progressive pancreatic β-cell dysfunction, leading to impaired glucose homeostasis. It results from interactions among genetic predisposition, environmental factors, and metabolic stressors, such as overnutrition and a sedentary lifestyle.Insulin Resistance and Glucose DysregulationEarly T2DM involves insulin resistance in skeletal muscle, adipose tissue, and the liver.
Type II Diabetes I: Introduction01:26

Type II Diabetes I: Introduction

Type 2 diabetes mellitus (T2DM) is a chronic metabolic disorder characterized by insulin resistance, in which target tissues such as the liver, muscle, and adipose tissue respond poorly to insulin. It is also associated with inadequate compensatory insulin secretion, where pancreatic β-cells fail to produce sufficient insulin. Together, these abnormalities lead to persistent hyperglycemia.EtiologyT2DM develops through a complex interaction of genetic predisposition and environmental or...
Type I Diabetes II: Pathophysiology01:26

Type I Diabetes II: Pathophysiology

Type 1 diabetes mellitus arises from an immune-mediated destruction of pancreatic β-cells, resulting in an absolute deficiency of insulin. This process develops in genetically susceptible individuals when autoimmunity, environmental exposures, and immunologic dysregulation converge to trigger a targeted attack on the insulin-producing cells of the pancreas. The β-cells are located within the islets of Langerhans and are essential for regulating blood glucose by facilitating cellular uptake of...
Diabetes Mellitus: Type 2 and Gestational01:22

Diabetes Mellitus: Type 2 and Gestational

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...
Diabetes Mellitus: Overview and Type I Subtype01:22

Diabetes Mellitus: Overview and Type I Subtype

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.
Type 1 diabetes is an autoimmune disease in which the immune system mistakenly attacks and destroys the insulin-producing beta cells in the pancreas. As a result, the body is unable to produce sufficient insulin, and individuals with...
Type I Diabetes I: Introduction01:12

Type I Diabetes I: Introduction

Type 1 diabetes mellitus is a chronic metabolic disorder characterized by an absolute deficiency of insulin resulting from the autoimmune destruction of pancreatic β-cells. Although it can occur at any age, it is most commonly diagnosed in childhood, adolescence, or early adulthood. The loss of insulin production impairs cellular glucose uptake, resulting in persistent hyperglycemia and necessitating lifelong insulin therapy.Autoimmune Destruction of β-CellsThe hallmark of type 1 diabetes is an...

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Related Experiment Videos

Cardiovascular Risk Stratification in Youth-Onset Type 2 Diabetes Using Machine Learning.

Eun Young Joo1, Yeong Seok Lee1, Eun Jung Shin1

  • 1Department of Pediatrics, Inha University Hospital, Inha University College of Medicine, Incheon, Korea.

Journal of Korean Medical Science
|May 12, 2026
PubMed
Summary
This summary is machine-generated.

Machine learning models effectively identified high-risk youth with type 2 diabetes mellitus (T2DM) for cardiovascular complications. The study highlights age and hypertension for arterial stiffness and lipids for atherosclerosis, enabling targeted screening.

Keywords:
AdolescentCarotid Intima-Media ThicknessDiabetes Mellitus, Type 2Machine LearningPulse Wave Analysis

Related Experiment Videos

Area of Science:

  • Cardiology
  • Endocrinology
  • Data Science

Background:

  • Rising incidence of youth-onset type 2 diabetes mellitus (T2DM) poses significant cardiovascular risks.
  • Brachial-ankle pulse wave velocity (baPWV) and carotid intima-media thickness (cIMT) are key noninvasive markers for arterial stiffness and atherosclerosis.
  • Early cardiovascular risk assessment is crucial for managing T2DM in youth.

Purpose of the Study:

  • To apply machine learning models for identifying high-risk individuals with youth-onset T2DM.
  • To enable early and targeted cardiovascular screening in this population.
  • To refine the understanding of predictors for arterial stiffness and atherosclerosis.

Main Methods:

  • Retrospective study of 129 patients with youth-onset T2DM.
  • Utilized brachial-ankle pulse wave velocity (baPWV) and carotid intima-media thickness (cIMT) measurements.
  • Employed linear regression, logistic regression, and machine learning with oversampling and cross-validation.

Main Results:

  • Gradient boosting model achieved high accuracy (0.81 for arterial stiffness, 0.92 for atherosclerosis).
  • Age and hypertension were key predictors of arterial stiffness.
  • Machine learning identified low-density lipoprotein cholesterol and triglycerides as crucial for atherosclerosis risk.

Conclusions:

  • Machine learning enhances identification of cardiovascular risk factors in youth-onset T2DM.
  • Combined conventional and ML analyses offer complementary strengths for risk stratification.
  • Findings support early, targeted vascular screening for improved patient outcomes.