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Association between fasting plasma glucose variability and maternal and infant outcomes in patients with hyperglycemia during pregnancy: a retrospective cohort study

BACKGROUND: Blood glucose variability (GV) is believed to be closely related to the occurrence of adverse obstetric outcomes. However, few studies have investigated how the change in fasting plasma glucose (FPG) influenced on the adverse obstetric outcomes. This study mainly evaluated the relationsh...

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Autores principales: Yu, Wenshu, Liu, Xiuyan, Wu, Na
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9929746/
https://www.ncbi.nlm.nih.gov/pubmed/36819594
http://dx.doi.org/10.21037/atm-22-6476
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author Yu, Wenshu
Liu, Xiuyan
Wu, Na
author_facet Yu, Wenshu
Liu, Xiuyan
Wu, Na
author_sort Yu, Wenshu
collection PubMed
description BACKGROUND: Blood glucose variability (GV) is believed to be closely related to the occurrence of adverse obstetric outcomes. However, few studies have investigated how the change in fasting plasma glucose (FPG) influenced on the adverse obstetric outcomes. This study mainly evaluated the relationship between FPG coefficient of variation (FPG-CV) and adverse outcomes in patients with gestational hyperglycemia and determine the ideal FPG-CV threshold for predicting maternal and infant outcomes. METHODS: We retrospective analyzed the data of 608 pregnant hyperglycemic patients in the Obstetrics Department of Shengjing Hospital Affiliated to China Medical University between June 2019 and December 2021 and followed up inpatients through the Hospital Information System (HIS). We collected the venous FPG from 24–28 weeks of pregnancy to delivery. Maternal and infant outcomes were based on the latest definitions. The chi-square test and logistic regression analysis were performed to evaluate the correlation between FPG-CV and adverse outcomes. Two multivariate binary logistic regression models were used to adjust for confounding factors. Stratified analysis was performed according to hemoglobin A1c (HbA1c) levels (<5.9% and ≥5.9%) and insulin injection (not used and used) in the third trimester of pregnancy. The receiver operating characteristic (ROC) curve was used to evaluate the prediction of FPG-CV on adverse outcomes. RESULTS: All patients were divided into four groups based on the quartile of FPG-CV. The proportion of FPG-SD and insulin injections differed among the groups (P<0.05). Among the outcomes, the highest incidence rate was 26.3% for large for gestational age (LGA), 8.7% for premature delivery. FPG-CV remains independently associated with low birth weight [odds ratio (OR) =1.086, P=0.007], preterm birth (OR =1.069, P=0.012), and preeclampsia (OR =1.180, P<0.001). FPG-CV can predict preeclampsia, with an area under the curve (AUC) of 0.725. CONCLUSIONS: Our results suggest that patients with gestational hyperglycemia should undergo routine FPG monitoring from diagnosis to delivery. Also, the impact of blood glucose fluctuations on adverse outcomes should be considered in the clinical treatment. The rational application of hypoglycemic treatment can stabilize blood glucose levels, however, the effects of different regimens on GV and outcomes should be studied further.
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spelling pubmed-99297462023-02-16 Association between fasting plasma glucose variability and maternal and infant outcomes in patients with hyperglycemia during pregnancy: a retrospective cohort study Yu, Wenshu Liu, Xiuyan Wu, Na Ann Transl Med Original Article BACKGROUND: Blood glucose variability (GV) is believed to be closely related to the occurrence of adverse obstetric outcomes. However, few studies have investigated how the change in fasting plasma glucose (FPG) influenced on the adverse obstetric outcomes. This study mainly evaluated the relationship between FPG coefficient of variation (FPG-CV) and adverse outcomes in patients with gestational hyperglycemia and determine the ideal FPG-CV threshold for predicting maternal and infant outcomes. METHODS: We retrospective analyzed the data of 608 pregnant hyperglycemic patients in the Obstetrics Department of Shengjing Hospital Affiliated to China Medical University between June 2019 and December 2021 and followed up inpatients through the Hospital Information System (HIS). We collected the venous FPG from 24–28 weeks of pregnancy to delivery. Maternal and infant outcomes were based on the latest definitions. The chi-square test and logistic regression analysis were performed to evaluate the correlation between FPG-CV and adverse outcomes. Two multivariate binary logistic regression models were used to adjust for confounding factors. Stratified analysis was performed according to hemoglobin A1c (HbA1c) levels (<5.9% and ≥5.9%) and insulin injection (not used and used) in the third trimester of pregnancy. The receiver operating characteristic (ROC) curve was used to evaluate the prediction of FPG-CV on adverse outcomes. RESULTS: All patients were divided into four groups based on the quartile of FPG-CV. The proportion of FPG-SD and insulin injections differed among the groups (P<0.05). Among the outcomes, the highest incidence rate was 26.3% for large for gestational age (LGA), 8.7% for premature delivery. FPG-CV remains independently associated with low birth weight [odds ratio (OR) =1.086, P=0.007], preterm birth (OR =1.069, P=0.012), and preeclampsia (OR =1.180, P<0.001). FPG-CV can predict preeclampsia, with an area under the curve (AUC) of 0.725. CONCLUSIONS: Our results suggest that patients with gestational hyperglycemia should undergo routine FPG monitoring from diagnosis to delivery. Also, the impact of blood glucose fluctuations on adverse outcomes should be considered in the clinical treatment. The rational application of hypoglycemic treatment can stabilize blood glucose levels, however, the effects of different regimens on GV and outcomes should be studied further. AME Publishing Company 2023-01-31 2023-01-31 /pmc/articles/PMC9929746/ /pubmed/36819594 http://dx.doi.org/10.21037/atm-22-6476 Text en 2023 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Yu, Wenshu
Liu, Xiuyan
Wu, Na
Association between fasting plasma glucose variability and maternal and infant outcomes in patients with hyperglycemia during pregnancy: a retrospective cohort study
title Association between fasting plasma glucose variability and maternal and infant outcomes in patients with hyperglycemia during pregnancy: a retrospective cohort study
title_full Association between fasting plasma glucose variability and maternal and infant outcomes in patients with hyperglycemia during pregnancy: a retrospective cohort study
title_fullStr Association between fasting plasma glucose variability and maternal and infant outcomes in patients with hyperglycemia during pregnancy: a retrospective cohort study
title_full_unstemmed Association between fasting plasma glucose variability and maternal and infant outcomes in patients with hyperglycemia during pregnancy: a retrospective cohort study
title_short Association between fasting plasma glucose variability and maternal and infant outcomes in patients with hyperglycemia during pregnancy: a retrospective cohort study
title_sort association between fasting plasma glucose variability and maternal and infant outcomes in patients with hyperglycemia during pregnancy: a retrospective cohort study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9929746/
https://www.ncbi.nlm.nih.gov/pubmed/36819594
http://dx.doi.org/10.21037/atm-22-6476
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