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Diabetes: Management and Pharmacotherapy01:15

Diabetes: Management and Pharmacotherapy

The therapy for diabetes aims to alleviate hyperglycemia-related symptoms, prevent acute metabolic decompensation, and reduce chronic end-organ complications. Glycemic control is evaluated through short-term (self-monitoring, continuous glucose monitoring) and long-term (A1c, fructosamine) metrics, enabling near real-time tracking of blood glucose levels and reflecting glycemic control over specific time frames.
Insulin remains the cornerstone of treatment for most patients with type 1 and many...
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...
Diabetes: Symptoms, Diagnosis, and Complications01:15

Diabetes: Symptoms, Diagnosis, and Complications

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 based on...
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...
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.
Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic illness...

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Updated: Jun 21, 2026

A Zebrafish Model of Diabetes Mellitus and Metabolic Memory
10:03

A Zebrafish Model of Diabetes Mellitus and Metabolic Memory

Published on: February 28, 2013

What can complexity do for diabetes management? Linking theory to practice.

Helen C Cooper1, Robert Geyer

  • 1Community and Child Health, University of Chester, Chester, UK. h.cooper@chester.ac.uk

Journal of Evaluation in Clinical Practice
|August 14, 2009
PubMed
Summary

Complexity theory offers a new framework for managing diabetes, moving beyond outdated linear models. This approach provides practical tools for patients and healthcare professionals to navigate the complexities of chronic disease management.

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Last Updated: Jun 21, 2026

A Zebrafish Model of Diabetes Mellitus and Metabolic Memory
10:03

A Zebrafish Model of Diabetes Mellitus and Metabolic Memory

Published on: February 28, 2013

Area of Science:

  • Healthcare Management
  • Public Health
  • Systems Theory

Background:

  • Rising global prevalence of diabetes linked to demographics and obesity.
  • Projected 25% increase in diabetes-related deaths over the next decade.
  • Limited focus on theoretical frameworks for diabetes management.

Purpose of the Study:

  • Introduce complexity theory for diabetes management.
  • Demonstrate practical application of complexity theory using a specific tool.
  • Bridge the gap between theoretical frameworks and practical diabetes care.

Main Methods:

  • Literature review on complexity theory and its application in healthcare.
  • Conceptual analysis of current diabetes management models.
  • Illustrative example of a complexity-based tool for diabetes care.

Main Results:

  • Complexity theory provides an interprofessional perspective for understanding diabetes management.
  • Identified limitations of current linear, reduce-and-resolve models for chronic diseases.
  • Proposed practical 'tools' derived from complexity theory.

Conclusions:

  • Complexity theory offers a more holistic approach to managing chronic conditions like diabetes.
  • The proposed framework and tools can aid patients, carers, and practitioners.
  • Challenges the inadequacy of traditional models in addressing multifaceted chronic diseases.