Glycemic Variability in Type 1 Diabetes Mellitus Pregnancies—Novel Parameters in Predicting Large-for-Gestational-Age Neonates: A Prospective Cohort Study

Lekšić, Gloria; Baretić, Maja; Gudelj, Lara; Radić, Marja; Miličić, Iva; Ivanišević, Marina; Jurišić-Eržen, Dubravka

doi:10.3390/biomedicines10092175

Pregled bibliografske jedinice broj: 1213404

Glycemic Variability in Type 1 Diabetes Mellitus Pregnancies—Novel Parameters in Predicting Large- for-Gestational-Age Neonates: A Prospective Cohort Study

Lekšić, Gloria; Baretić, Maja; Gudelj, Lara; Radić, Marja; Miličić, Iva; Ivanišević, Marina; Jurišić-Eržen, Dubravka

Glycemic Variability in Type 1 Diabetes Mellitus Pregnancies—Novel Parameters in Predicting Large- for-Gestational-Age Neonates: A Prospective Cohort Study // Biomedicines, 10 (2022), 9; 2175, 13 doi:10.3390/biomedicines10092175 (međunarodna recenzija, članak, znanstveni)

CROSBI ID: 1213404 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Glycemic Variability in Type 1 Diabetes Mellitus Pregnancies—Novel Parameters in Predicting Large- for-Gestational-Age Neonates: A Prospective Cohort Study

Autori
Lekšić, Gloria ; Baretić, Maja ; Gudelj, Lara ; Radić, Marja ; Miličić, Iva ; Ivanišević, Marina ; Jurišić-Eržen, Dubravka

Izvornik
Biomedicines (2227-9059) 10 (2022), 9; 2175, 13

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
diabetes mellitus type 1 ; pregnancy ; large-for-gestational-age neonates ; glycemic variability ; continuous glucose monitoring ; J-index

Sažetak
Pregnancies with type 1 diabetes mellitus (T1DM) have a high incidence of large-for-gestational-age neonates (LGA) despite optimal glycemic control. In recent years, glycemic variability (GV) has emerged as a possible risk factor for LGA, but the results of the conducted studies are unclear. This study analyzed the association between GV and LGA development in pregnancies with T1DM. This was a prospective cohort study of patients with T1DM who used continuous glucose monitoring (CGM) during pregnancy. Patients were followed from the first trimester to birth. GV parameters were calculated for every trimester using the EasyGV calculator. The main outcomes were LGA or no-LGA. Logistic regression analysis was used to assess the association between GV parameters and LGA. In total, 66 patients were included. The incidence of LGA was 36%. The analysis extracted several GV parameters that were significantly associated with the risk of LGA. The J-index was the only significant parameter in every trimester of pregnancy (odds ratios with confidence intervals were 1.33 (1.02, 1.73), 3.18 (1.12, 9.07), and 1.37 (1.03, 1.82), respectively. Increased GV is a risk factor for development of LGA. The J-index is a possible novel GV parameter that may be assessed in all three trimesters of pregnancy together with glycated hemoglobin and time-in-range.

Izvorni jezik
Engleski

Znanstvena područja
Kliničke medicinske znanosti, Informacijske i komunikacijske znanosti

POVEZANOST RADA

Ustanove:
Medicinski fakultet, Rijeka,
Medicinski fakultet, Zagreb,
Klinički bolnički centar Zagreb,
Klinički bolnički centar Rijeka

Profili:

Maja Baretić (autor)