Maximal Speed of Glucose Change Significantly Distinguishes Prediabetes from Diabetes
Dandan Wang, Xiaoyan Chen, Jingxiang Lin, Teng Zhang, Lianyi Huang, Dongliang Leng, Xiaohua Douglas Zhang, and Gang Li

TL;DR
This study introduces the maxSpeed index from continuous glucose monitoring data, which effectively differentiates prediabetes and diabetes types by capturing rapid glucose changes, aiding early diagnosis and management.
Contribution
The paper proposes the maxSpeed index and demonstrates its effectiveness in distinguishing prediabetes from diabetes, providing new tools for clinical assessment.
Findings
maxSpeed significantly distinguishes prediabetes from diabetes
meanSpeed, sdSpeed, GVP, and MAG differentiate non-diabetes from diabetes
MODD and CONGA of 24 hours differentiate non-diabetes from diabetes and T1D from others
Abstract
Rapid changes in blood glucose levels can have severe and immediate health consequences, leading to the need to develop indices for assessing these rapid changes based on continuous glucose monitoring (CGM) data. We proposed a CGM index, maxSpeed, that represents the maximum of speed of glucose change (SGC) in a subject, respectively, and conducted a clinical study to investigate this index along with SGC mean (meanSpeed) and SGC standard deviation (sdSpeed), coefficient of variation (CV), standard deviation (SD), glycemic variability percentage (GVP), mean amplitude of glycemic excursions (MAG), mean absolute glucose excursion (MAGE), mean of daily differences (MODD) and continuous overlapping net glycemic action (CONGA). Our study revealed that, there exist multiple patterns in distinguishing non-diabetes, prediabetes, type 1 diabetes (T1D) and type 2 diabetes (T2D). First, maxSpeed…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDiabetes, Cardiovascular Risks, and Lipoproteins · Liver Disease Diagnosis and Treatment · Diet and metabolism studies
MethodsSPEED: Separable Pyramidal Pooling EncodEr-Decoder for Real-Time Monocular Depth Estimation on Low-Resource Settings
