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Number-Based Approach to Insulin Taxonomy.

Sanjay Kalra1, Yashdeep Gupta2

  • 1Department of Endocrinology, Bharti Hospital, Karnal, India. brideknl@gmail.com.

Diabetes Therapy : Research, Treatment and Education of Diabetes and Related Disorders
|September 10, 2015
PubMed
Summary

This study introduces a new number-based system for classifying insulin regimens, focusing on injection frequency. This patient-centered approach aims to improve understanding and clinical use of various insulin types.

Keywords:
AspartBasal insulinBiAspCoformulation of insulinDegludecGlargineGlulisineIDegAspIDegLiraInsulinIntensive insulinLisproLisproMixLixiLanPremixed insulinU300

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Area of Science:

  • Endocrinology
  • Pharmacology
  • Clinical Pharmacy

Background:

  • Current insulin classification systems lack a unified framework.
  • Existing classifications do not always align with clinical practice or patient needs.
  • Advancements in insulin formulations necessitate a more adaptable system.

Purpose of the Study:

  • To develop a novel, number-based system for classifying insulin regimens.
  • To create a taxonomy incorporating all insulin preparations and coformulations.
  • To enhance clinical understanding and application of insulin therapy.

Main Methods:

  • Literature search of PubMed for reviews and clinical trials (1990-present).
  • Analysis of insulin preparations based on pharmacokinetic/dynamic properties.
  • Development of a classification system centered on the number of daily injections.

Main Results:

  • A robust, number-based insulin classification system was established.
  • The system accommodates all current and emerging insulin molecules.
  • It integrates patient-centered variables (injection frequency) with drug characteristics.

Conclusions:

  • A number-based insulin taxonomy offers a superior alternative to pharmaceutical-based classifications.
  • This system facilitates better clinical decision-making and guideline development.
  • It enhances the practical application of insulin therapy knowledge.