MatabuenaMGhosalRAguilarJE, et al. Glucodensity functional profiles outperform traditional continuous glucose monitoring metrics. Sci Rep. 2025;15(1):33662. doi: 10.1038/s41598-025-18119-2.
2.
Zanotti-CavazzoniSL.Glucose variability is associated with intensive care unit mortality. Crit Care Med. 2011;2011:209-210. doi:10.1016/j.yccm.2011.01.003.
3.
ChristensenTFLewinskyIKristensenLE, et al, eds. QT interval prolongation during rapid fall in blood glucose in type I diabetes. In: 2007 Computers in Cardiology. Durham, NC: IEEE; 2007:345-348.
4.
MizoguchiTAoyamaNJinnouchiY, et al. Associations of fluctuations in blood glucose and insulin with hypoglycemic symptoms. Sci Rep. 2025;15(1):11579. doi:10.1038/s41598-025-91544-5.
5.
ChristensenMNørgaardLJBohlM, et al. Time with rapid change of glucose. J Diabetes Sci Technol. 2024;18:795-799.
6.
RichardsonR. Do metrics of temporal glycemic variability reveal abnormal glucose rates of change in type 1 diabetes? [published online ahead of print November 11, 2024]. J Diabetes Sci Technol. doi:10.1177/19322968241298248.
7.
ShahVNDuBoseSNLiZ, et al. Continuous Glucose Monitoring Profiles in Healthy Nondiabetic Participants: A Multicenter Prospective Study. J Clin Endocrinol Metab. 2019;104(10):4356-4364. doi: 10.1210/jc.2018-02763.