ArticleScientific data2021
Data-driven curation process for describing the blood glucose management in the intensive care unit.
Article in Scientific data, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 21 citations in OpenAlex.
- Association of 3-Day Postoperative Blood Glucose Variability With All-Cause Mortality in ICU Patients After Surgical Repair of Acute Type A Aortic Dissection: A Retrospective Cohort Study Using the MIMIC-IV Database.Clinical cardiology · 2026Article
- What is the ideal glucose range for a patient with sepsis in the ICU? A retrospective analysis of MIMIC-IV.BMJ open · 2026Article
- A Deep Learning Model That Combines ResNet and Transformer Architectures for Real-Time Blood Glucose Measurement Using PPG Signals.Bioengineering (Basel, Switzerland) · 2025Article
- Article
- Comments on Contemporary Uses of Machine Learning for Electronic Health Records.North Carolina medical journal · 2024Review
- Daily variation in blood glucose levels during continuous enteral nutrition in patients on the intensive care unit: a retrospective observational study.EBioMedicine · 2024Observational
- A value-based deep reinforcement learning model with human expertise in optimal treatment of sepsis.NPJ digital medicine · 2023Article
- Automated Type 2 Diabetes Case and Control Identification from the MIMIC-IV Database.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2023Article
- Data-driven curation process for describing the blood glucose management in the intensive care unit.Scientific data · 2021Article
Corrections and comments
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Authors and funding
10 authors at 6 institutions in 2 countries.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.