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

Autor:	Robles Arévalo A; IDMEC, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal. aldo.arevalo@tecnico.ulisboa.pt., Maley JH; Beth Israel Deaconess Medical Center, Boston, MA, USA., Baker L; RAND Corporation, Santa Monica, CA, USA., da Silva Vieira SM; IDMEC, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal., da Costa Sousa JM; IDMEC, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal., Finkelstein S; Massachusetts Institute of Technology, Cambridge, MA, USA., Mateo-Collado R; Rush University Medical Center, Chicago, IL, USA., Raffa JD; Massachusetts Institute of Technology, Cambridge, MA, USA., Celi LA; Beth Israel Deaconess Medical Center, Boston, MA, USA.; Massachusetts Institute of Technology, Cambridge, MA, USA.; Harvard T.H. Chan School of Public Health, Boston, MA, USA., DeMichele F 3rd; Landmark Health, Huntington Beach, CA, USA.
Jazyk:	angličtina
Zdroj:	Scientific data [Sci Data] 2021 Mar 10; Vol. 8 (1), pp. 80. Date of Electronic Publication: 2021 Mar 10.
DOI:	10.1038/s41597-021-00864-4
Abstrakt:	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.
Databáze:	MEDLINE
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