Five heterogeneous HbA1c trajectories from childhood to adulthood in youth with type 1 diabetes from three different continents: A group‐based modeling approach

Objectives Only a fraction of youth meet established targets for glycemic control; many experience deteriorating control over time. We compared trajectories of hemoglobin A1c (HbA1c) among youth from three trans‐continental type 1 diabetes (T1D) registries and identified clinical variables associate...

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Veröffentlicht in:Pediatric diabetes 2019-11, Vol.20 (7), p.920-931
Hauptverfasser: Clements, Mark A., Schwandt, Anke, Donaghue, Kim C., Miller, Kellee, Lück, Ursula, Couper, Jennifer J., Foster, Nicole, Schröder, Carmen, Phelan, Helen, Maahs, David, Prinz, Nicole, Craig, Maria E.
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container_end_page 931
container_issue 7
container_start_page 920
container_title Pediatric diabetes
container_volume 20
creator Clements, Mark A.
Schwandt, Anke
Donaghue, Kim C.
Miller, Kellee
Lück, Ursula
Couper, Jennifer J.
Foster, Nicole
Schröder, Carmen
Phelan, Helen
Maahs, David
Prinz, Nicole
Craig, Maria E.
description Objectives Only a fraction of youth meet established targets for glycemic control; many experience deteriorating control over time. We compared trajectories of hemoglobin A1c (HbA1c) among youth from three trans‐continental type 1 diabetes (T1D) registries and identified clinical variables associated with the odds of following increasing vs stable trajectories. Research design and methods Analyses included longitudinal data from 15 897 individuals age 8 to 18 with T1D for at least 2 years and HbA1c measurements in at least 5 years during the observation period. Cohorts were selected from Australasian Diabetes Data Network (ADDN; Australia), German/Austrian/Luxembourgian Diabetes‐Patienten‐Verlaufsdokumentation initiative (DPV; Germany/Austria/Luxembourga), and the T1D Exchange Clinic Network (T1DX; US) clinic registries. Group‐based trajectory modeling and multivariable logistic regression identified unique HbA1c trajectories and their predictors. Results Five heterogeneous trajectories of glycemic control in each registry were identified: low, intermediate, high stable; intermediate and high increasing. The overall HbA1c level for each trajectory group tended to be lowest in the DPV, higher in the ADDN, and highest in the T1DX. The absolute level of HbA1c and the proportion of individuals within each trajectory varied across registries: 17% to 22% of individuals followed an increasing trajectory. Compared with maintaining a stable trajectory, following an increasing trajectory was significantly associated with ethnic minority status, lower height z‐score, higher BMI z‐score, insulin injection therapy, and the occurrence of severe hypoglycemia; however, these factors were not consistent across the three registries. Conclusions We report the first multinational registry‐based comparison of glycemic control trajectories among youth with T1D from three continents and identify possible targets for intervention in those at risk of an increasing HbA1c trajectory.
doi_str_mv 10.1111/pedi.12907
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We compared trajectories of hemoglobin A1c (HbA1c) among youth from three trans‐continental type 1 diabetes (T1D) registries and identified clinical variables associated with the odds of following increasing vs stable trajectories. Research design and methods Analyses included longitudinal data from 15 897 individuals age 8 to 18 with T1D for at least 2 years and HbA1c measurements in at least 5 years during the observation period. Cohorts were selected from Australasian Diabetes Data Network (ADDN; Australia), German/Austrian/Luxembourgian Diabetes‐Patienten‐Verlaufsdokumentation initiative (DPV; Germany/Austria/Luxembourga), and the T1D Exchange Clinic Network (T1DX; US) clinic registries. Group‐based trajectory modeling and multivariable logistic regression identified unique HbA1c trajectories and their predictors. Results Five heterogeneous trajectories of glycemic control in each registry were identified: low, intermediate, high stable; intermediate and high increasing. The overall HbA1c level for each trajectory group tended to be lowest in the DPV, higher in the ADDN, and highest in the T1DX. The absolute level of HbA1c and the proportion of individuals within each trajectory varied across registries: 17% to 22% of individuals followed an increasing trajectory. Compared with maintaining a stable trajectory, following an increasing trajectory was significantly associated with ethnic minority status, lower height z‐score, higher BMI z‐score, insulin injection therapy, and the occurrence of severe hypoglycemia; however, these factors were not consistent across the three registries. Conclusions We report the first multinational registry‐based comparison of glycemic control trajectories among youth with T1D from three continents and identify possible targets for intervention in those at risk of an increasing HbA1c trajectory.</description><identifier>ISSN: 1399-543X</identifier><identifier>EISSN: 1399-5448</identifier><identifier>DOI: 10.1111/pedi.12907</identifier><identifier>PMID: 31418521</identifier><language>eng</language><publisher>Former Munksgaard: John Wiley &amp; Sons A/S</publisher><subject>Childhood ; childhood diabetes ; Children ; Diabetes ; Diabetes mellitus ; Diabetes mellitus (insulin dependent) ; Glucose ; HbA1c ; Hemoglobin ; Hypoglycemia ; Insulin ; pediatric diabetes ; type 1 diabetes</subject><ispartof>Pediatric diabetes, 2019-11, Vol.20 (7), p.920-931</ispartof><rights>2019 John Wiley &amp; Sons A/S. Published by John Wiley &amp; Sons Ltd</rights><rights>2019 John Wiley &amp; Sons A/S. 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We compared trajectories of hemoglobin A1c (HbA1c) among youth from three trans‐continental type 1 diabetes (T1D) registries and identified clinical variables associated with the odds of following increasing vs stable trajectories. Research design and methods Analyses included longitudinal data from 15 897 individuals age 8 to 18 with T1D for at least 2 years and HbA1c measurements in at least 5 years during the observation period. Cohorts were selected from Australasian Diabetes Data Network (ADDN; Australia), German/Austrian/Luxembourgian Diabetes‐Patienten‐Verlaufsdokumentation initiative (DPV; Germany/Austria/Luxembourga), and the T1D Exchange Clinic Network (T1DX; US) clinic registries. Group‐based trajectory modeling and multivariable logistic regression identified unique HbA1c trajectories and their predictors. Results Five heterogeneous trajectories of glycemic control in each registry were identified: low, intermediate, high stable; intermediate and high increasing. The overall HbA1c level for each trajectory group tended to be lowest in the DPV, higher in the ADDN, and highest in the T1DX. The absolute level of HbA1c and the proportion of individuals within each trajectory varied across registries: 17% to 22% of individuals followed an increasing trajectory. Compared with maintaining a stable trajectory, following an increasing trajectory was significantly associated with ethnic minority status, lower height z‐score, higher BMI z‐score, insulin injection therapy, and the occurrence of severe hypoglycemia; however, these factors were not consistent across the three registries. Conclusions We report the first multinational registry‐based comparison of glycemic control trajectories among youth with T1D from three continents and identify possible targets for intervention in those at risk of an increasing HbA1c trajectory.</description><subject>Childhood</subject><subject>childhood diabetes</subject><subject>Children</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diabetes mellitus (insulin dependent)</subject><subject>Glucose</subject><subject>HbA1c</subject><subject>Hemoglobin</subject><subject>Hypoglycemia</subject><subject>Insulin</subject><subject>pediatric diabetes</subject><subject>type 1 diabetes</subject><issn>1399-543X</issn><issn>1399-5448</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9kUtOHDEQhi0UBASy4QDIUjZRpAE_2v3IbkR4SUhkEaTsLLddPe1Rd7tju0Gz4wicIUfLSTAzA4ss4oVdLn3121U_QseUnNK0zkYw9pSyihQ76IDyqpqJLCs_vMf81z76GMKSEFpUPNtD-5xmtBSMHqA_l_YBcAsRvFvAAG4K-LqeU42jV0vQ0XkLATfe9Vi3tjOtcwZHh5WZuri-2AGv3BRb_GjTFlcjYIqNVXUS3VbG1gOkXNOAhyFi7YZohxSFb3iOF95N49-n51oFMLh3Bjo7LLAaR--Ubo_QbqO6AJ-25yG6v7z4eX49u727ujmf3840r3gxSx1xZgTXBnQtKqIoMJJxUxqSl7nKdJ7nTGWEJa4SutS8oSnJC1Nr0ZSKH6IvG9307O8JQpS9DRq6Tq3HIhkrBMsFJUVCP_-DLt3kh_Q7yTjhtMhFKRL1dUNp70Lw0MjR2175laREvjonX52Ta-cSfLKVnOoezDv6ZlUC6AZ4tB2s_iMlf1x8v9mIvgB6sqZQ</recordid><startdate>201911</startdate><enddate>201911</enddate><creator>Clements, Mark A.</creator><creator>Schwandt, Anke</creator><creator>Donaghue, Kim C.</creator><creator>Miller, Kellee</creator><creator>Lück, Ursula</creator><creator>Couper, Jennifer J.</creator><creator>Foster, Nicole</creator><creator>Schröder, Carmen</creator><creator>Phelan, Helen</creator><creator>Maahs, David</creator><creator>Prinz, Nicole</creator><creator>Craig, Maria E.</creator><general>John Wiley &amp; Sons A/S</general><general>Wiley Subscription Services, Inc</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7T5</scope><scope>H94</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-6004-576X</orcidid><orcidid>https://orcid.org/0000-0002-4024-1912</orcidid><orcidid>https://orcid.org/0000-0002-2368-0331</orcidid><orcidid>https://orcid.org/0000-0003-3041-0759</orcidid><orcidid>https://orcid.org/0000-0002-7570-9095</orcidid><orcidid>https://orcid.org/0000-0003-4448-8629</orcidid></search><sort><creationdate>201911</creationdate><title>Five heterogeneous HbA1c trajectories from childhood to adulthood in youth with type 1 diabetes from three different continents: A group‐based modeling approach</title><author>Clements, Mark A. ; Schwandt, Anke ; Donaghue, Kim C. ; Miller, Kellee ; Lück, Ursula ; Couper, Jennifer J. ; Foster, Nicole ; Schröder, Carmen ; Phelan, Helen ; Maahs, David ; Prinz, Nicole ; Craig, Maria E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3937-41832d53cdecb590a1e2043d8d0686a4c6662a40218395c8c3f14c637dbc5f8a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Childhood</topic><topic>childhood diabetes</topic><topic>Children</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Diabetes mellitus (insulin dependent)</topic><topic>Glucose</topic><topic>HbA1c</topic><topic>Hemoglobin</topic><topic>Hypoglycemia</topic><topic>Insulin</topic><topic>pediatric diabetes</topic><topic>type 1 diabetes</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Clements, Mark A.</creatorcontrib><creatorcontrib>Schwandt, Anke</creatorcontrib><creatorcontrib>Donaghue, Kim C.</creatorcontrib><creatorcontrib>Miller, Kellee</creatorcontrib><creatorcontrib>Lück, Ursula</creatorcontrib><creatorcontrib>Couper, Jennifer J.</creatorcontrib><creatorcontrib>Foster, Nicole</creatorcontrib><creatorcontrib>Schröder, Carmen</creatorcontrib><creatorcontrib>Phelan, Helen</creatorcontrib><creatorcontrib>Maahs, David</creatorcontrib><creatorcontrib>Prinz, Nicole</creatorcontrib><creatorcontrib>Craig, Maria E.</creatorcontrib><creatorcontrib>Australasian Diabetes Data Network (ADDN) Study Group, the T1D Exchange Clinic Network (T1DX), and the German/Austrian/Luxembourgian Diabetes-Patienten-Verlaufsdokumentation (DPV) initiative</creatorcontrib><creatorcontrib>on behalf of the Australasian Diabetes Data Network (ADDN) Study Group, the T1D Exchange Clinic Network (T1DX), and the German/Austrian/Luxembourgian Diabetes‐Patienten‐Verlaufsdokumentation (DPV) initiative</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Immunology Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>Pediatric diabetes</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Clements, Mark A.</au><au>Schwandt, Anke</au><au>Donaghue, Kim C.</au><au>Miller, Kellee</au><au>Lück, Ursula</au><au>Couper, Jennifer J.</au><au>Foster, Nicole</au><au>Schröder, Carmen</au><au>Phelan, Helen</au><au>Maahs, David</au><au>Prinz, Nicole</au><au>Craig, Maria E.</au><aucorp>Australasian Diabetes Data Network (ADDN) Study Group, the T1D Exchange Clinic Network (T1DX), and the German/Austrian/Luxembourgian Diabetes-Patienten-Verlaufsdokumentation (DPV) initiative</aucorp><aucorp>on behalf of the Australasian Diabetes Data Network (ADDN) Study Group, the T1D Exchange Clinic Network (T1DX), and the German/Austrian/Luxembourgian Diabetes‐Patienten‐Verlaufsdokumentation (DPV) initiative</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Five heterogeneous HbA1c trajectories from childhood to adulthood in youth with type 1 diabetes from three different continents: A group‐based modeling approach</atitle><jtitle>Pediatric diabetes</jtitle><addtitle>Pediatr Diabetes</addtitle><date>2019-11</date><risdate>2019</risdate><volume>20</volume><issue>7</issue><spage>920</spage><epage>931</epage><pages>920-931</pages><issn>1399-543X</issn><eissn>1399-5448</eissn><abstract>Objectives Only a fraction of youth meet established targets for glycemic control; many experience deteriorating control over time. We compared trajectories of hemoglobin A1c (HbA1c) among youth from three trans‐continental type 1 diabetes (T1D) registries and identified clinical variables associated with the odds of following increasing vs stable trajectories. Research design and methods Analyses included longitudinal data from 15 897 individuals age 8 to 18 with T1D for at least 2 years and HbA1c measurements in at least 5 years during the observation period. Cohorts were selected from Australasian Diabetes Data Network (ADDN; Australia), German/Austrian/Luxembourgian Diabetes‐Patienten‐Verlaufsdokumentation initiative (DPV; Germany/Austria/Luxembourga), and the T1D Exchange Clinic Network (T1DX; US) clinic registries. Group‐based trajectory modeling and multivariable logistic regression identified unique HbA1c trajectories and their predictors. Results Five heterogeneous trajectories of glycemic control in each registry were identified: low, intermediate, high stable; intermediate and high increasing. The overall HbA1c level for each trajectory group tended to be lowest in the DPV, higher in the ADDN, and highest in the T1DX. The absolute level of HbA1c and the proportion of individuals within each trajectory varied across registries: 17% to 22% of individuals followed an increasing trajectory. Compared with maintaining a stable trajectory, following an increasing trajectory was significantly associated with ethnic minority status, lower height z‐score, higher BMI z‐score, insulin injection therapy, and the occurrence of severe hypoglycemia; however, these factors were not consistent across the three registries. Conclusions We report the first multinational registry‐based comparison of glycemic control trajectories among youth with T1D from three continents and identify possible targets for intervention in those at risk of an increasing HbA1c trajectory.</abstract><cop>Former Munksgaard</cop><pub>John Wiley &amp; Sons A/S</pub><pmid>31418521</pmid><doi>10.1111/pedi.12907</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0001-6004-576X</orcidid><orcidid>https://orcid.org/0000-0002-4024-1912</orcidid><orcidid>https://orcid.org/0000-0002-2368-0331</orcidid><orcidid>https://orcid.org/0000-0003-3041-0759</orcidid><orcidid>https://orcid.org/0000-0002-7570-9095</orcidid><orcidid>https://orcid.org/0000-0003-4448-8629</orcidid><oa>free_for_read</oa></addata></record>
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source Wiley Online Library Journals Frontfile Complete
subjects Childhood
childhood diabetes
Children
Diabetes
Diabetes mellitus
Diabetes mellitus (insulin dependent)
Glucose
HbA1c
Hemoglobin
Hypoglycemia
Insulin
pediatric diabetes
type 1 diabetes
title Five heterogeneous HbA1c trajectories from childhood to adulthood in youth with type 1 diabetes from three different continents: A group‐based modeling approach
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