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Insulin Formulations: Types and Delivery01:27

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Insulin preparations are categorized by their duration of action into short-acting and long-acting types. Two strategies are used to modify insulin's absorption and pharmacokinetic profile: slowing the absorption post-subcutaneous injection, or altering human insulin's amino acid sequence or protein structure. These changes retain the insulin's ability to bind to the insulin receptor, but alter its behavior in solution or after injection.
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Insulin-replacement therapy usually includes both long-acting insulin (basal) and short-acting insulin (to cater to postprandial needs). In a diverse group of type 1 diabetes patients, the average daily insulin dose is typically 0.5-0.7 units/kg body weight. However, obese patients and pubertal adolescents may need more due to insulin resistance.
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Inhaled medications are crucial for managing chronic obstructive pulmonary disease (COPD) and asthma. They are essential for effective treatment and control, ensuring optimal respiratory health and well-being. Inhaled medication delivers drugs directly to the lungs, providing a rapid onset of action and reducing systemic side effects compared to oral or injectable medications. Three primary types of inhalation devices are used to administer these medications: nebulizers, metered-dose inhalers...
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Algorithms for Automated Insulin Delivery: An Overview.

Andreas Thomas1, Lutz Heinemann1

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Journal of Diabetes Science and Technology
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PubMed
Summary
This summary is machine-generated.

Automated insulin delivery (AID) systems require algorithms to translate continuous glucose monitoring data into safe and effective insulin doses. This review classifies AID algorithms, highlighting the need for performance evaluation to ensure optimal glucose control.

Keywords:
automated insulin deliverycontinuous glucose monitoringinsulin therapy

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Area of Science:

  • Endocrinology
  • Biomedical Engineering
  • Computer Science

Background:

  • Automated insulin delivery (AID) systems integrate continuous glucose monitoring (CGM) and insulin pumps.
  • A crucial component is the algorithm that determines insulin dosage based on glucose levels.
  • Insulin's pharmacokinetic properties necessitate complex algorithms for safe and effective glucose management.

Purpose of the Study:

  • To review and classify different types of AID algorithms developed over recent decades.
  • To emphasize the importance of algorithms in achieving both maximal Time-in-Range and minimal Time-below-Range.
  • To identify gaps in the systematic evaluation of AID algorithm performance.

Main Methods:

  • Systematic classification of various AID algorithms based on their development history.
  • Characterization of the functional components of AID systems, including CGM, insulin pumps, and control algorithms.
  • Literature review of existing AID algorithm types and their underlying principles.

Main Results:

  • Different AID algorithms have been developed, each with unique approaches to glucose control.
  • The complexity of algorithms is driven by the need to account for insulin absorption and metabolic activity.
  • A significant gap exists in the systematic performance evaluation of these algorithms in both clinical trials and real-world practice.

Conclusions:

  • Effective AID systems rely on sophisticated algorithms that balance glucose control efficiency and safety.
  • Further research is needed to systematically evaluate and compare the performance of various AID algorithms.
  • Factors beyond algorithm performance may influence the adoption and clinical utility of AID systems.