Unknown

Dataset Information

0

Data-driven curation process for describing the blood glucose management in the intensive care unit.


ABSTRACT: 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.

SUBMITTER: Robles Arevalo A 

PROVIDER: S-EPMC7946873 | biostudies-literature |

REPOSITORIES: biostudies-literature

Similar Datasets

| PRJNA561526 | ENA
| PRJNA562118 | ENA
| S-EPMC6533687 | biostudies-literature
2012-05-11 | E-GEOD-37944 | biostudies-arrayexpress
| S-EPMC3513482 | biostudies-literature
| S-EPMC2911729 | biostudies-literature
| PRJNA562155 | ENA
| S-EPMC5747308 | biostudies-literature
| S-EPMC7127549 | biostudies-literature
2012-05-12 | GSE37944 | GEO