Mean amplitude of glycemic excursion and mortality in critically ill patients: A retrospective analysis using the <scp>MIMIC</scp> ‐ <scp>IV</scp> database
MAGE exhibits effective predictive value for mortality in ICU patients, with distinct thresholds for diabetic and non-diabetic populations. These findings underscore the importance of tailored GV management strategies in critical care settings and support the adoption of MAGE as a standardised metric for GV assessment in ICU settings.
Authors
- Qunchuan Zong (ORCID: https://orcid.org/0000-0002-7872-5779)
- Ruixia Zhang (ORCID: https://orcid.org/0000-0002-6171-7828)
- Qiang Zhu (ORCID: https://orcid.org/0000-0003-1048-1357)
- Yinggui Ba
- Huajie Zou (ORCID: https://orcid.org/0000-0003-3036-1184)
- Huimin Ye (ORCID: https://orcid.org/0000-0002-4706-9852)
- Zijian Ma (ORCID: https://orcid.org/0000-0002-3044-8442)
- Shiying Guo
Institutions
- Qinghai University Affiliated Hospital (CN)
- Second People’s Hospital of Yibin (CN)
Publication Details
- Journal
- Diabetes Obesity and Metabolism
- Published
- 2025-04-21
- DOI
- https://doi.org/10.1111/dom.16410
- Citations
- 3
- Primary Topic
- Hyperglycemia and glycemic control in critically ill and hospitalized patients
- Type
- article
- Field-Weighted Citation Impact
- 3.88
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Qinghai