Curated Data for Describing Blood Glucose Management in the Intensive Care Unit

Analysis of real-world glucose and insulin clinical data recorded in
electronic health records can provide insights into tailored approaches to
clinical care, but still present many analytic challenges. The present data
subsets are the result of a detailed curation process that extracts and pairs
glucose readings to insulin therapy on a per-patient basis during an admission
to the Intensive Care Unit (ICU) in the Medical Information Mart for Intensive
Care (MIMIC-III) database. Curated data include over 500,000 glucose readings
and more than 140,000 insulin entries for nearly 9,600 patients distributed in
more than 11,000 ICU stays. Also, the proposed curation process involved the
creation of glucose - insulin pairing rules according to clinical expert-
defined physiologic and pharmacologic parameters. With the proposed rules, it
was possible to pair nearly 76% of insulin administration events to a
preceding blood glucose reading. The two shared data subsets have the
potential to reveal insights regarding real-world practice for the glycemic
control in the ICU. Moreover, the shared material serves as a framework for
future studies of glucose management and insulin therapy replacement in the
ICU, which may allow researchers to tailor queries and data processing to
their own study objectives.