Publication: Changes in the glycaemia risk index and its association with other continuous glucose monitoring metrics after initiation of an automated insulin delivery system in adults with Type 1 Diabetes
dc.contributor.coauthor | Shah, Viral N. | |
dc.contributor.coauthor | Klonoff, David | |
dc.contributor.coauthor | Akturk, Halis K. | |
dc.contributor.department | School of Medicine | |
dc.contributor.kuauthor | Karakuş, Kağan Ege | |
dc.contributor.schoolcollegeinstitute | SCHOOL OF MEDICINE | |
dc.date.accessioned | 2025-01-19T10:32:18Z | |
dc.date.issued | 2023 | |
dc.description.abstract | Aim: To evaluate the glycaemia risk index (GRI) and its association with other continuous glucose monitoring (CGM) metrics after initiation of an automated insulin delivery (AID) system in patients with type 1 diabetes (T1D). Materials and Methods: Up to 90 days of CGM data before and after initiation of an AID system from 185 CGM users with T1D were collected. GRI and other CGM metrics were calculated using cgmanalysis R software and were analysed for 24 hours, for both night-time and daytime. GRI values were assigned to five GRI zones: zone A (0-20), B (21-40), C (41-60), D (61-80) and E (81-100). Results: Compared with baseline, GRI and its components decreased significantly after AID initiation ( GRI: 48.7 +/- 21.8 vs. 29 +/- 13; hypoglycaemia component: 2.7 +/- 2.8 vs. 1.6 +/- 1.7; hyperglycaemia component: 25.3 +/- 14.5 vs. 15 +/- 8.5; P <.001 for all). The GRI was inversely correlated with time in range before (r = similar to 0.962) and after (r = similar to 0.961) AID initiation (P <.001 for both). GRI was correlated with time above range (before: r = 0.906; after = 0.910; P <.001 for both), but not with time below range (P >.05). All CGM metrics improved after AID initiation during 24 hours, for both daytime and night-time (P <.001 for all). Metrics improved significantly more during night-time than daytime (P <.01). Conclusions: GRI was highly correlated with various CGM metrics above, but not below target range, both before and after AID initiation. | |
dc.description.indexedby | WOS | |
dc.description.indexedby | Scopus | |
dc.description.indexedby | PubMed | |
dc.description.issue | 11 | |
dc.description.publisherscope | International | |
dc.description.sponsoredbyTubitakEu | N/A | |
dc.description.volume | 25 | |
dc.identifier.doi | 10.1111/dom.15208 | |
dc.identifier.eissn | 1463-1326 | |
dc.identifier.issn | 1462-8902 | |
dc.identifier.quartile | Q1 | |
dc.identifier.scopus | 2-s2.0-85164560474 | |
dc.identifier.uri | https://doi.org/10.1111/dom.15208 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14288/26367 | |
dc.identifier.wos | 1026051600001 | |
dc.keywords | Continuous glucose monitoring | |
dc.keywords | CSII | |
dc.keywords | Insulin pump | |
dc.keywords | Therapy | |
dc.keywords | Type 1 Diabetes | |
dc.language.iso | eng | |
dc.publisher | Wiley | |
dc.relation.ispartof | Diabetes Obesity and Metabolism | |
dc.subject | Medicine | |
dc.title | Changes in the glycaemia risk index and its association with other continuous glucose monitoring metrics after initiation of an automated insulin delivery system in adults with Type 1 Diabetes | |
dc.type | Journal Article | |
dspace.entity.type | Publication | |
local.contributor.kuauthor | Karakuş, Kağan Ege | |
local.publication.orgunit1 | SCHOOL OF MEDICINE | |
local.publication.orgunit2 | School of Medicine | |
relation.isOrgUnitOfPublication | d02929e1-2a70-44f0-ae17-7819f587bedd | |
relation.isOrgUnitOfPublication.latestForDiscovery | d02929e1-2a70-44f0-ae17-7819f587bedd | |
relation.isParentOrgUnitOfPublication | 17f2dc8e-6e54-4fa8-b5e0-d6415123a93e | |
relation.isParentOrgUnitOfPublication.latestForDiscovery | 17f2dc8e-6e54-4fa8-b5e0-d6415123a93e |