Analysis of real-world glucose and insulin clinical data recorded in electronic medical records can provide insights into tailored approaches to clinical care, yet presents many analytic challenges. This work makes publicly available a dataset that contains the curated entries of blood glucose readings and administered insulin on a per-patient basis during ICU admissions in the Medical Information Mart for Intensive Care (MIMIC-III) database version 1.4. Also, the present study details the data curation process used to extract and match glucose values to insulin therapy. The curation process includes the creation of glucose-insulin pairing rules according to clinical expert-defined physiologic and pharmacologic parameters. Through this approach, it was possible to align nearly 76% of insulin events to a preceding blood glucose reading for nearly 9,600 critically ill patients. This work has the potential to reveal trends in real-world practice for the management of blood glucose. This data extraction and processing serve as a framework for future studies of glucose and insulin in the intensive care unit.

对电子病历中记录的现实世界中葡萄糖和胰岛素临床数据的分析可以提供对量身定制的临床护理方法的见解，但也带来了许多分析挑战。这项工作公开提供了一个数据集，该数据集包含重症监护医学信息数据库（MIMIC-III）数据库版本1.4中每位患者在ICU入院期间血糖读数和所管理的胰岛素的经过整理的条目。此外，本研究还详细介绍了用于提取葡萄糖值并将其与胰岛素治疗相匹配的数据管理过程。策划过程包括根据临床专家定义的生理和药理参数创建葡萄糖-胰岛素配对规则。通过这种方法，可以将近76％的胰岛素事件与之前的血糖读数进行近9的比对。600名重症患者。这项工作有可能揭示现实世界中管理血糖的趋势。该数据提取和处理可作为重症监护病房中未来葡萄糖和胰岛素研究的框架。