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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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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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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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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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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.
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PROSIT Open Source Disease Models for Diabetes Mellitus.

Wendelin Schramm1, Fabian Sailer1, Monika Pobiruchin1

  • 1GECKO Institute for Medicine, Informatics and Economics, Heilbronn University, Germany.

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Summary

The PROSIT Disease Modelling Community developed transparent, open-source Markov models for diabetes mellitus complications. This initiative enhances the credibility and sustainability of health economic modeling studies.

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Area of Science:

  • Health Economics
  • Computational Biology
  • Epidemiology

Background:

  • Health economic modeling studies face criticism regarding quality and transparency.
  • Lack of credibility hampers the use of modeling in health economic studies.

Purpose of the Study:

  • To develop transparent, open-source health economic disease models for diabetes mellitus.
  • To improve the quality and transparency of health economic modeling.

Main Methods:

  • Developed Markov type models using open-source software (OpenOffice Calc).
  • Modeled diabetes mellitus complications including myocardial infarction, stroke, retinopathy, nephropathy, diabetic foot syndrome, and hypoglycemia.
  • Established an internet platform for public download of models and documentation.

Main Results:

  • Transition probabilities are based on time, gender, age, disease risks, and medical interventions.
  • Incidence rates were derived from population data and clinical studies.
  • Models are adaptable for specific health economic analyses and include validation/testing features.

Conclusions:

  • The PROSIT Disease Modelling Community's open-source Markov models offer a transparent and sustainable approach to health economic disease modeling for diabetes.
  • Adopting open-source models can address the credibility gap in health economic studies.