Detecting hypoglycemia-induced electrocardiogram changes in a rodent model of type 1 diabetes using shape-based clustering Article Swipe
Sejal Mistry
,
Ramkiran Gouripeddi
,
Candace M. Reno
,
Samir Abdelrahman
,
Simon J. Fisher
,
Julio C. Facelli
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0284622
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0284622
Sudden death related to hypoglycemia is thought to be due to cardiac arrhythmias. A clearer understanding of the cardiac changes associated with hypoglycemia is needed to reduce mortality. The objective of this work was to identify distinct patterns of electrocardiogram heartbeat changes that correlated with glycemic level, diabetes status, and mortality using a rodent model. Electrocardiogram and glucose measurements were collected from 54 diabetic and 37 non-diabetic rats undergoing insulin-induced hypoglycemic clamps. Shape-based unsupervised clustering was performed to identify distinct clusters of electrocardiogram heartbeats, and clustering performance was assessed using internal evaluation metrics. Clusters were evaluated by experimental conditions of diabetes status, glycemic level, and death status. Overall, shape-based unsupervised clustering identified 10 clusters of ECG heartbeats across multiple internal evaluation metrics. Several clusters demonstrating normal ECG morphology were specific to hypoglycemia conditions (Clusters 3, 5, and 8), non-diabetic rats (Cluster 4), or were generalized among all experimental conditions (Cluster 1). In contrast, clusters demonstrating QT prolongation alone or a combination of QT, PR, and QRS prolongation were specific to severe hypoglycemia experimental conditions and were stratified heartbeats by non-diabetic (Clusters 2 and 6) or diabetic status (Clusters 9 and 10). One cluster demonstrated an arrthymogenic waveform with premature ventricular contractions and was specific to heartbeats from severe hypoglycemia conditions (Cluster 7). Overall, this study provides the first data-driven characterization of ECG heartbeats in a rodent model of diabetes during hypoglycemia.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1371/journal.pone.0284622
- https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0284622&type=printable
- OA Status
- gold
- Cited By
- 3
- References
- 50
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4377018813
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4377018813Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1371/journal.pone.0284622Digital Object Identifier
- Title
-
Detecting hypoglycemia-induced electrocardiogram changes in a rodent model of type 1 diabetes using shape-based clusteringWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-05-18Full publication date if available
- Authors
-
Sejal Mistry, Ramkiran Gouripeddi, Candace M. Reno, Samir Abdelrahman, Simon J. Fisher, Julio C. FacelliList of authors in order
- Landing page
-
https://doi.org/10.1371/journal.pone.0284622Publisher landing page
- PDF URL
-
https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0284622&type=printableDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0284622&type=printableDirect OA link when available
- Concepts
-
Hypoglycemia, Medicine, Glycemic, Diabetes mellitus, Internal medicine, Cardiology, Heartbeat, Type 2 diabetes, Cluster (spacecraft), Electrocardiography, QT interval, Type 1 diabetes, Endocrinology, Computer science, Programming language, Computer securityTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2024: 1Per-year citation counts (last 5 years)
- References (count)
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50Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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