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Glycemic Control Trajectories and Risk of Perinatal Complications Among Individuals With Gestational Diabetes

IMPORTANCE: Glycemic control is the cornerstone of gestational diabetes management. Glycemic control trajectories account for differences in longitudinal patterns throughout pregnancy; however, studies on glycemic control trajectories are scarce. OBJECTIVE: To examine whether glycemic control trajec...

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Autores principales: Chehab, Rana F., Ferrara, Assiamira, Greenberg, Mara B., Ngo, Amanda L., Feng, Juanran, Zhu, Yeyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9523493/
https://www.ncbi.nlm.nih.gov/pubmed/36173631
http://dx.doi.org/10.1001/jamanetworkopen.2022.33955
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author Chehab, Rana F.
Ferrara, Assiamira
Greenberg, Mara B.
Ngo, Amanda L.
Feng, Juanran
Zhu, Yeyi
author_facet Chehab, Rana F.
Ferrara, Assiamira
Greenberg, Mara B.
Ngo, Amanda L.
Feng, Juanran
Zhu, Yeyi
author_sort Chehab, Rana F.
collection PubMed
description IMPORTANCE: Glycemic control is the cornerstone of gestational diabetes management. Glycemic control trajectories account for differences in longitudinal patterns throughout pregnancy; however, studies on glycemic control trajectories are scarce. OBJECTIVE: To examine whether glycemic control trajectories from gestational diabetes diagnosis to delivery were associated with differential risk of perinatal complications. DESIGN, SETTING, AND PARTICIPANTS: This population-based cohort study included individuals with gestational diabetes with longitudinal electronic health record data from preconception to delivery who received prenatal care at Kaiser Permanente Northern California (KPNC) and were enrolled in KPNC’s telemedicine-based gestational diabetes care program between January 2007 and December 2017. Data analysis was conducted from September 2021 to January 2022. EXPOSURES: Glycemic control trajectories were derived using latent class modeling based on the American Diabetes Association’s recommended self-monitoring of blood glucose measurements. Optimal glycemic control was defined as at least 80% of all measurements meeting the targets at KPNC clinical settings. MAIN OUTCOMES AND MEASURES: Multivariable Poisson regression models were used to estimate the associations of glycemic control trajectories with cesarean delivery, preterm birth, shoulder dystocia, large- and small-for-gestational-age, and neonatal intensive care unit admission and stay of 7 days or longer. RESULTS: Among a total of 26 774 individuals (mean [SD] age, 32.9 [5.0] years; 11 196 Asian or Pacific Islander individuals [41.8%], 1083 Black individuals [4.0%], 7500 Hispanic individuals [28.0%], and 6049 White individuals [22.6%]), 4 glycemic control trajectories were identified: stably optimal (10 528 individuals [39.3%]), rapidly improving to optimal (9151 individuals [34.2%]), slowly improving to near-optimal (4161 individuals [15.5%]), and slowly improving to suboptimal (2934 individuals [11.0%]). In multivariable models with the rapidly improving to optimal trajectory group as the reference group, glycemic control trajectories were associated with perinatal complications with a gradient across stably optimal to slowly improving to suboptimal. For individuals in the stably optimal trajectory group, there were lower risks of cesarean delivery (adjusted relative risk [aRR], 0.93 [95% CI, 0.89-0.96]), shoulder dystocia (aRR, 0.75 [95% CI, 0.61-0.92]), large-for-gestational age (aRR, 0.74 [95% CI, 0.69-0.80]), and neonatal intensive care unit admission (aRR, 0.90 [95% CI, 0.83-0.97]), while for patients in the slowly improving to suboptimal glycemic control trajectory group, risks were higher for cesarean delivery (aRR, 1.18 [95% CI, 1.12-1.24]; (P for trend < .001), shoulder dystocia (aRR, 1.41 [95% CI, 1.12-1.78]; P for trend < .001), large-for-gestational-age (aRR, 1.42 [95% CI, 1.31-1.53]; P for trend < .001), and neonatal intensive care unit admission (aRR, 1.33 [95% CI, 1.20-1.47]; P for trend < .001). The risk of small-for-gestational-age was higher in patients in the stably optimal group (aRR, 1.10 [95% CI, 1.02-1.20]) and lower in the slowly improving to suboptimal group (aRR, 0.63 [95% CI, 0.53-0.75]). CONCLUSIONS AND RELEVANCE: These findings suggest that slowly improving to near-optimal and slowly improving to suboptimal glycemic control trajectories were associated with increased risk of perinatal complications. Future interventions should help individuals achieve glycemic control early after gestational diabetes diagnosis and throughout pregnancy to decrease the risk of perinatal complications.
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spelling pubmed-95234932022-10-18 Glycemic Control Trajectories and Risk of Perinatal Complications Among Individuals With Gestational Diabetes Chehab, Rana F. Ferrara, Assiamira Greenberg, Mara B. Ngo, Amanda L. Feng, Juanran Zhu, Yeyi JAMA Netw Open Original Investigation IMPORTANCE: Glycemic control is the cornerstone of gestational diabetes management. Glycemic control trajectories account for differences in longitudinal patterns throughout pregnancy; however, studies on glycemic control trajectories are scarce. OBJECTIVE: To examine whether glycemic control trajectories from gestational diabetes diagnosis to delivery were associated with differential risk of perinatal complications. DESIGN, SETTING, AND PARTICIPANTS: This population-based cohort study included individuals with gestational diabetes with longitudinal electronic health record data from preconception to delivery who received prenatal care at Kaiser Permanente Northern California (KPNC) and were enrolled in KPNC’s telemedicine-based gestational diabetes care program between January 2007 and December 2017. Data analysis was conducted from September 2021 to January 2022. EXPOSURES: Glycemic control trajectories were derived using latent class modeling based on the American Diabetes Association’s recommended self-monitoring of blood glucose measurements. Optimal glycemic control was defined as at least 80% of all measurements meeting the targets at KPNC clinical settings. MAIN OUTCOMES AND MEASURES: Multivariable Poisson regression models were used to estimate the associations of glycemic control trajectories with cesarean delivery, preterm birth, shoulder dystocia, large- and small-for-gestational-age, and neonatal intensive care unit admission and stay of 7 days or longer. RESULTS: Among a total of 26 774 individuals (mean [SD] age, 32.9 [5.0] years; 11 196 Asian or Pacific Islander individuals [41.8%], 1083 Black individuals [4.0%], 7500 Hispanic individuals [28.0%], and 6049 White individuals [22.6%]), 4 glycemic control trajectories were identified: stably optimal (10 528 individuals [39.3%]), rapidly improving to optimal (9151 individuals [34.2%]), slowly improving to near-optimal (4161 individuals [15.5%]), and slowly improving to suboptimal (2934 individuals [11.0%]). In multivariable models with the rapidly improving to optimal trajectory group as the reference group, glycemic control trajectories were associated with perinatal complications with a gradient across stably optimal to slowly improving to suboptimal. For individuals in the stably optimal trajectory group, there were lower risks of cesarean delivery (adjusted relative risk [aRR], 0.93 [95% CI, 0.89-0.96]), shoulder dystocia (aRR, 0.75 [95% CI, 0.61-0.92]), large-for-gestational age (aRR, 0.74 [95% CI, 0.69-0.80]), and neonatal intensive care unit admission (aRR, 0.90 [95% CI, 0.83-0.97]), while for patients in the slowly improving to suboptimal glycemic control trajectory group, risks were higher for cesarean delivery (aRR, 1.18 [95% CI, 1.12-1.24]; (P for trend < .001), shoulder dystocia (aRR, 1.41 [95% CI, 1.12-1.78]; P for trend < .001), large-for-gestational-age (aRR, 1.42 [95% CI, 1.31-1.53]; P for trend < .001), and neonatal intensive care unit admission (aRR, 1.33 [95% CI, 1.20-1.47]; P for trend < .001). The risk of small-for-gestational-age was higher in patients in the stably optimal group (aRR, 1.10 [95% CI, 1.02-1.20]) and lower in the slowly improving to suboptimal group (aRR, 0.63 [95% CI, 0.53-0.75]). CONCLUSIONS AND RELEVANCE: These findings suggest that slowly improving to near-optimal and slowly improving to suboptimal glycemic control trajectories were associated with increased risk of perinatal complications. Future interventions should help individuals achieve glycemic control early after gestational diabetes diagnosis and throughout pregnancy to decrease the risk of perinatal complications. American Medical Association 2022-09-29 /pmc/articles/PMC9523493/ /pubmed/36173631 http://dx.doi.org/10.1001/jamanetworkopen.2022.33955 Text en Copyright 2022 Chehab RF et al. JAMA Network Open. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the CC-BY License.
spellingShingle Original Investigation
Chehab, Rana F.
Ferrara, Assiamira
Greenberg, Mara B.
Ngo, Amanda L.
Feng, Juanran
Zhu, Yeyi
Glycemic Control Trajectories and Risk of Perinatal Complications Among Individuals With Gestational Diabetes
title Glycemic Control Trajectories and Risk of Perinatal Complications Among Individuals With Gestational Diabetes
title_full Glycemic Control Trajectories and Risk of Perinatal Complications Among Individuals With Gestational Diabetes
title_fullStr Glycemic Control Trajectories and Risk of Perinatal Complications Among Individuals With Gestational Diabetes
title_full_unstemmed Glycemic Control Trajectories and Risk of Perinatal Complications Among Individuals With Gestational Diabetes
title_short Glycemic Control Trajectories and Risk of Perinatal Complications Among Individuals With Gestational Diabetes
title_sort glycemic control trajectories and risk of perinatal complications among individuals with gestational diabetes
topic Original Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9523493/
https://www.ncbi.nlm.nih.gov/pubmed/36173631
http://dx.doi.org/10.1001/jamanetworkopen.2022.33955
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