Cargando…

Continuous glucose monitoring in pregnant women with type 1 diabetes: an observational cohort study of 186 pregnancies

AIMS/HYPOTHESIS: The aim of this study was to analyse patterns of continuous glucose monitoring (CGM) data for associations with large for gestational age (LGA) infants and an adverse neonatal composite outcome (NCO) in pregnancies in women with type 1 diabetes. METHODS: This was an observational co...

Descripción completa

Detalles Bibliográficos
Autores principales: Kristensen, Karl, Ögge, Linda E., Sengpiel, Verena, Kjölhede, Karin, Dotevall, Annika, Elfvin, Anders, Knop, Filip K., Wiberg, Nana, Katsarou, Anastasia, Shaat, Nael, Kristensen, Lars, Berntorp, Kerstin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6560021/
https://www.ncbi.nlm.nih.gov/pubmed/30904938
http://dx.doi.org/10.1007/s00125-019-4850-0
_version_ 1783425884748775424
author Kristensen, Karl
Ögge, Linda E.
Sengpiel, Verena
Kjölhede, Karin
Dotevall, Annika
Elfvin, Anders
Knop, Filip K.
Wiberg, Nana
Katsarou, Anastasia
Shaat, Nael
Kristensen, Lars
Berntorp, Kerstin
author_facet Kristensen, Karl
Ögge, Linda E.
Sengpiel, Verena
Kjölhede, Karin
Dotevall, Annika
Elfvin, Anders
Knop, Filip K.
Wiberg, Nana
Katsarou, Anastasia
Shaat, Nael
Kristensen, Lars
Berntorp, Kerstin
author_sort Kristensen, Karl
collection PubMed
description AIMS/HYPOTHESIS: The aim of this study was to analyse patterns of continuous glucose monitoring (CGM) data for associations with large for gestational age (LGA) infants and an adverse neonatal composite outcome (NCO) in pregnancies in women with type 1 diabetes. METHODS: This was an observational cohort study of 186 pregnant women with type 1 diabetes in Sweden. The interstitial glucose readings from 92 real-time (rt) CGM and 94 intermittently viewed (i) CGM devices were used to calculate mean glucose, SD, CV%, time spent in target range (3.5–7.8 mmol/l), mean amplitude of glucose excursions and also high and low blood glucose indices (HBGI and LBGI, respectively). Electronic records provided information on maternal demographics and neonatal outcomes. Associations between CGM indices and neonatal outcomes were analysed by stepwise logistic regression analysis adjusted for confounders. RESULTS: The number of infants born LGA was similar in rtCGM and iCGM users (52% vs 53%). In the combined group, elevated mean glucose levels in the second and the third trimester were significantly associated with LGA (OR 1.53, 95% CI 1.12, 2.08, and OR 1.57, 95% CI 1.12, 2.19, respectively). Furthermore, a high percentage of time in target in the second and the third trimester was associated with lower risk of LGA (OR 0.96, 95% CI 0.94, 0.99 and OR 0.97, 95% CI 0.95, 1.00, respectively). The same associations were found for mean glucose and for time in target and the risk of NCO in all trimesters. SD was significantly associated with LGA in the second trimester and with NCO in the third trimester. Glucose patterns did not differ between rtCGM and iCGM users except that rtCGM users had lower LBGI and spent less time below target. CONCLUSIONS/INTERPRETATION: Higher mean glucose levels, higher SD and less time in target range were associated with increased risk of LGA and NCO. Despite the use of CGM throughout pregnancy, the day-to-day glucose control was not optimal and the incidence of LGA remained high. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00125-019-4850-0) contains peer-reviewed but unedited supplementary material, which is available to authorised users.
format Online
Article
Text
id pubmed-6560021
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Springer Berlin Heidelberg
record_format MEDLINE/PubMed
spelling pubmed-65600212019-06-26 Continuous glucose monitoring in pregnant women with type 1 diabetes: an observational cohort study of 186 pregnancies Kristensen, Karl Ögge, Linda E. Sengpiel, Verena Kjölhede, Karin Dotevall, Annika Elfvin, Anders Knop, Filip K. Wiberg, Nana Katsarou, Anastasia Shaat, Nael Kristensen, Lars Berntorp, Kerstin Diabetologia Article AIMS/HYPOTHESIS: The aim of this study was to analyse patterns of continuous glucose monitoring (CGM) data for associations with large for gestational age (LGA) infants and an adverse neonatal composite outcome (NCO) in pregnancies in women with type 1 diabetes. METHODS: This was an observational cohort study of 186 pregnant women with type 1 diabetes in Sweden. The interstitial glucose readings from 92 real-time (rt) CGM and 94 intermittently viewed (i) CGM devices were used to calculate mean glucose, SD, CV%, time spent in target range (3.5–7.8 mmol/l), mean amplitude of glucose excursions and also high and low blood glucose indices (HBGI and LBGI, respectively). Electronic records provided information on maternal demographics and neonatal outcomes. Associations between CGM indices and neonatal outcomes were analysed by stepwise logistic regression analysis adjusted for confounders. RESULTS: The number of infants born LGA was similar in rtCGM and iCGM users (52% vs 53%). In the combined group, elevated mean glucose levels in the second and the third trimester were significantly associated with LGA (OR 1.53, 95% CI 1.12, 2.08, and OR 1.57, 95% CI 1.12, 2.19, respectively). Furthermore, a high percentage of time in target in the second and the third trimester was associated with lower risk of LGA (OR 0.96, 95% CI 0.94, 0.99 and OR 0.97, 95% CI 0.95, 1.00, respectively). The same associations were found for mean glucose and for time in target and the risk of NCO in all trimesters. SD was significantly associated with LGA in the second trimester and with NCO in the third trimester. Glucose patterns did not differ between rtCGM and iCGM users except that rtCGM users had lower LBGI and spent less time below target. CONCLUSIONS/INTERPRETATION: Higher mean glucose levels, higher SD and less time in target range were associated with increased risk of LGA and NCO. Despite the use of CGM throughout pregnancy, the day-to-day glucose control was not optimal and the incidence of LGA remained high. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00125-019-4850-0) contains peer-reviewed but unedited supplementary material, which is available to authorised users. Springer Berlin Heidelberg 2019-03-23 2019 /pmc/articles/PMC6560021/ /pubmed/30904938 http://dx.doi.org/10.1007/s00125-019-4850-0 Text en © The Author(s) 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Article
Kristensen, Karl
Ögge, Linda E.
Sengpiel, Verena
Kjölhede, Karin
Dotevall, Annika
Elfvin, Anders
Knop, Filip K.
Wiberg, Nana
Katsarou, Anastasia
Shaat, Nael
Kristensen, Lars
Berntorp, Kerstin
Continuous glucose monitoring in pregnant women with type 1 diabetes: an observational cohort study of 186 pregnancies
title Continuous glucose monitoring in pregnant women with type 1 diabetes: an observational cohort study of 186 pregnancies
title_full Continuous glucose monitoring in pregnant women with type 1 diabetes: an observational cohort study of 186 pregnancies
title_fullStr Continuous glucose monitoring in pregnant women with type 1 diabetes: an observational cohort study of 186 pregnancies
title_full_unstemmed Continuous glucose monitoring in pregnant women with type 1 diabetes: an observational cohort study of 186 pregnancies
title_short Continuous glucose monitoring in pregnant women with type 1 diabetes: an observational cohort study of 186 pregnancies
title_sort continuous glucose monitoring in pregnant women with type 1 diabetes: an observational cohort study of 186 pregnancies
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6560021/
https://www.ncbi.nlm.nih.gov/pubmed/30904938
http://dx.doi.org/10.1007/s00125-019-4850-0
work_keys_str_mv AT kristensenkarl continuousglucosemonitoringinpregnantwomenwithtype1diabetesanobservationalcohortstudyof186pregnancies
AT oggelindae continuousglucosemonitoringinpregnantwomenwithtype1diabetesanobservationalcohortstudyof186pregnancies
AT sengpielverena continuousglucosemonitoringinpregnantwomenwithtype1diabetesanobservationalcohortstudyof186pregnancies
AT kjolhedekarin continuousglucosemonitoringinpregnantwomenwithtype1diabetesanobservationalcohortstudyof186pregnancies
AT dotevallannika continuousglucosemonitoringinpregnantwomenwithtype1diabetesanobservationalcohortstudyof186pregnancies
AT elfvinanders continuousglucosemonitoringinpregnantwomenwithtype1diabetesanobservationalcohortstudyof186pregnancies
AT knopfilipk continuousglucosemonitoringinpregnantwomenwithtype1diabetesanobservationalcohortstudyof186pregnancies
AT wibergnana continuousglucosemonitoringinpregnantwomenwithtype1diabetesanobservationalcohortstudyof186pregnancies
AT katsarouanastasia continuousglucosemonitoringinpregnantwomenwithtype1diabetesanobservationalcohortstudyof186pregnancies
AT shaatnael continuousglucosemonitoringinpregnantwomenwithtype1diabetesanobservationalcohortstudyof186pregnancies
AT kristensenlars continuousglucosemonitoringinpregnantwomenwithtype1diabetesanobservationalcohortstudyof186pregnancies
AT berntorpkerstin continuousglucosemonitoringinpregnantwomenwithtype1diabetesanobservationalcohortstudyof186pregnancies