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基于数字的胰岛素分类方法。

Number-Based Approach to Insulin Taxonomy.

作者信息

Kalra Sanjay, Gupta Yashdeep

机构信息

Department of Endocrinology, Bharti Hospital, Karnal, India.

Department of Endocrinology, All India Institute of Medical Sciences, New Delhi, India.

出版信息

Diabetes Ther. 2015 Dec;6(4):469-479. doi: 10.1007/s13300-015-0129-8. Epub 2015 Sep 9.

Abstract

This article describes a number-based system for the classification of insulin regimes. It utilizes a patient-centered variable (number of injections per day) and pharmacokinetic/dynamic characteristics to craft a taxonomic system that is able to incorporate all available insulin preparations and coformulations. This framework of systematics is robust enough to include various molecules that have been recently developed. It serves to enhance understanding of the subject, and facilitates the practical or clinical usage of theoretical knowledge. We propose that number-based insulin taxonomic models should be used in clinical guidelines and recommendations rather than restricting ourselves to pharmaceutical-based classifications. PubMed articles including both review articles and clinical trials published since the year 1990 were searched, to gather evidence and information on the various types of insulins available, and how they can be used, based on the number or frequency of injections prescribed per day.

摘要

本文介绍了一种基于数字的胰岛素治疗方案分类系统。它利用以患者为中心的变量(每日注射次数)以及药代动力学/动力学特征来构建一个能够纳入所有可用胰岛素制剂和复方制剂的分类系统。这种系统分类框架足够强大,能够涵盖最近研发的各种分子。它有助于增进对该主题的理解,并促进理论知识的实际或临床应用。我们建议在临床指南和建议中使用基于数字的胰岛素分类模型,而不是局限于基于药物的分类。检索了自1990年以来发表的包括综述文章和临床试验在内的PubMed文章,以收集有关各种可用胰岛素类型以及根据每日规定注射次数如何使用它们的证据和信息。

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