Karolina Myśliwiec

Mrs. Karolina Myśliwiec


Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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10 July 2024 in Children
Verified
Journal Article
Open access
PDF file
ALAgnieszka Lejk
Agnieszka Lejk
KMKarolina Myśliwiec
Karolina Myśliwiec
AMArkadisz Michalak
Arkadisz Michalak
BPBarbara Pernak
Barbara Pernak
WFWojciech Fendler
Wojciech Fendler
MMMałgorzata Myśliwiec
Małgorzata Myśliwiec
Background: While insulin pumps remain the most common form of therapy for youths with type 1 diabetes (T1DM), they differ in the extent to which they utilize data from continuous glucose monitoring (CGM) and automate insulin delivery. Methods: The aim of the study was to compare metabolic control in patients using different models of insulin pumps. This retrospective single-center study randomly sampled 30 patients for each of the following treatments: Medtronic 720G without PLGS (predictive low glucose suspend), Medtronic 640G or 740G with PLGS and Medtronic 780G. In the whole study group, we used CGM systems to assess patients’ metabolic control, and we collected lipid profiles. In three groups of patients, we utilized CGM sensors (Guardian 3, Guardian 4, Libre 2 and Dexcom G6) to measure the following glycemic variability proxy values: time in range (TIR), time below 70 mg/dL (TBR), time above 180 mg/dL (TAR), coefficient of variation (CV) and mean sensor glucose. Results: Medtronic 640G or 740G and 780G users were more likely to achieve a target time in the target range 70–180 mg/dL (≥80%) [Medtronic 720G = 4 users (13.3%) vs. Medtronic 640G/740G = 10 users (33.3%) vs. Medtronic 780G = 13 users (43.3%); p = 0.0357)] or low glucose variability [Medtronic 720G = 9 users (30%) vs. Medtronic 640G/740G = 18 users (60%) vs. Medtronic 780G = 19 users (63.3%); p = 0.0175)]. Conclusions: Any integration between the insulin pump and CGM was associated with better glycemic control. More advanced technologies and artificial intelligence in diabetes help patients maintain better glycemia by eliminating various factors affecting postprandial glycemia.

25 March 2025 in Journal of Public Health
Verified
Journal Article
Closed access
PDF file
Andrzej WasilewskiAndrzej Wasilewski
Andrzej Wasilewski
MHMaciej Mateusz Hanypsiak
Maciej Mateusz Hanypsiak
NTNatalia Tomala
Natalia Tomala
JRJan Rotkegel
Jan Rotkegel
KMKarolina Myśliwiec
Karolina Myśliwiec
Aureliusz KosendiakAureliusz Kosendiak
Aureliusz Kosendiak