IDMEC, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal.
Beth Israel Deaconess Medical Center, Boston, MA, USA.
Sci Data. 2021 Mar 10;8(1):80. doi: 10.1038/s41597-021-00864-4.
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真实世界血糖和胰岛素临床数据进行分析，可以深入了解针对临床护理的个性化方法，但也带来了许多分析挑战。本研究工作公开了一个数据集，其中包含了 ICU 住院患者的血糖读数和胰岛素给药的详细记录，数据来源于 Medical Information Mart for Intensive Care (MIMIC-III) 数据库版本 1.4。此外，本研究详细介绍了用于提取和匹配血糖值与胰岛素治疗的数据集编制过程。数据集编制过程包括根据临床专家定义的生理和药理参数创建血糖-胰岛素配对规则。通过这种方法，将近 76%的胰岛素事件与近 9600 名危重症患者的血糖读数相匹配。这项工作有可能揭示真实世界实践中血糖管理的趋势。这种血糖和胰岛素的数据提取和处理为未来在重症监护病房进行相关研究提供了框架。
