Integration of Routine Parameters of Glycemic Variability in a Simple Screening Method for Partial Remission in Children with Type 1 Diabetes
Although different criteria were used to define partial remission in type 1 diabetes, the IDAA1C formula has prevailed as it correlates with stimulated C-peptide levels. Our retrospective study evaluated clinical variables associated with the occurrence of IDAA1C-defined partial remission in a serie...
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Published in | Journal of Diabetes Research Vol. 2018; no. 2018; pp. 1 - 9 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Cairo, Egypt
Hindawi Publishing Corporation
01.01.2018
Hindawi John Wiley & Sons, Inc Wiley |
Subjects | |
Online Access | Get full text |
ISSN | 2314-6745 2314-6753 2314-6753 |
DOI | 10.1155/2018/5936360 |
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Abstract | Although different criteria were used to define partial remission in type 1 diabetes, the IDAA1C formula has prevailed as it correlates with stimulated C-peptide levels. Our retrospective study evaluated clinical variables associated with the occurrence of IDAA1C-defined partial remission in a series of 239 pediatric patients. Diabetic ketoacidosis and age at diagnosis, but no other clinical feature, influenced the occurrence of remission. We then evaluated whether parameters of glycemic variability used in clinical routine may reliably define partial remission, as these would alleviate confounding factors related to insulin treatment. Using multiple linear regression, we observed that HbA1C levels and percentage of normoglycemia were efficient and sufficient to predict partial remission. These parameters were entered into a formula, called glycemic target-adjusted HbA1C (GTAA1C), that corresponded to HbA1C(%) − (3 × % of normoglycemic values(70–180 mg/dL)). With a threshold of 4.5, this alternative formula predicted partial remission with a sensitivity and a specificity of 72.3% and 92%, respectively, and yielded strong correlation with IDAA1C levels and BETA-2 score, which is a correlate of β-cell function after islet transplantation. We propose GTAA1C, based on routine and objective markers of glycemic variability, as a valid alternative for definition of partial remission in type 1 diabetes. |
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AbstractList | Although different criteria were used to define partial remission in type 1 diabetes, the IDAA1C formula has prevailed as it correlates with stimulated C-peptide levels. Our retrospective study evaluated clinical variables associated with the occurrence of IDAA1C-defined partial remission in a series of 239 pediatric patients. Diabetic ketoacidosis and age at diagnosis, but no other clinical feature, influenced the occurrence of remission. We then evaluated whether parameters of glycemic variability used in clinical routine may reliably define partial remission, as these would alleviate confounding factors related to insulin treatment. Using multiple linear regression, we observed that HbA
1C
levels and percentage of normoglycemia were efficient and sufficient to predict partial remission. These parameters were entered into a formula, called glycemic target-adjusted HbA
1C
(GTAA
1C
), that corresponded to HbA
1C(%)
− (3 × % of normoglycemic values
(70–180 mg/dL)
). With a threshold of 4.5, this alternative formula predicted partial remission with a sensitivity and a specificity of 72.3% and 92%, respectively, and yielded strong correlation with IDAA1C levels and BETA-2 score, which is a correlate of
β
-cell function after islet transplantation. We propose GTAA
1C
, based on routine and objective markers of glycemic variability, as a valid alternative for definition of partial remission in type 1 diabetes. Although different criteria were used to define partial remission in type 1 diabetes, the IDAA1C formula has prevailed as it correlates with stimulated C-peptide levels. Our retrospective study evaluated clinical variables associated with the occurrence of IDAA1C-defined partial remission in a series of 239 pediatric patients. Diabetic ketoacidosis and age at diagnosis, but no other clinical feature, influenced the occurrence of remission. We then evaluated whether parameters of glycemic variability used in clinical routine may reliably define partial remission, as these would alleviate confounding factors related to insulin treatment. Using multiple linear regression, we observed that [HbA.sub.1C] levels and percentage of normoglycemia were efficient and sufficient to predict partial remission. These parameters were entered into a formula, called glycemic target-adjusted [HbA.sub.1C] ([GTAA.sub.1C]), that corresponded to [HbA.sub.1C(%)] - (3 x % of normoglycemic [values.sub.(70-180 mg/dL)]). With a threshold of 4.5, this alternative formula predicted partial remission with a sensitivity and a specificity of 72.3% and 92%, respectively, and yielded strong correlation with IDAA1C levels and BETA-2 score, which is a correlate of [beta]-cell function after islet transplantation. We propose [GTAA.sub.1C], based on routine and objective markers of glycemic variability, as a valid alternative for definition of partial remission in type 1 diabetes. Although different criteria were used to define partial remission in type 1 diabetes, the IDAA1C formula has prevailed as it correlates with stimulated C-peptide levels. Our retrospective study evaluated clinical variables associated with the occurrence of IDAA1C-defined partial remission in a series of 239 pediatric patients. Diabetic ketoacidosis and age at diagnosis, but no other clinical feature, influenced the occurrence of remission. We then evaluated whether parameters of glycemic variability used in clinical routine may reliably define partial remission, as these would alleviate confounding factors related to insulin treatment. Using multiple linear regression, we observed that HbA1C levels and percentage of normoglycemia were efficient and sufficient to predict partial remission. These parameters were entered into a formula, called glycemic target-adjusted HbA1C (GTAA1C), that corresponded to HbA1C(%) − (3 × % of normoglycemic values(70–180 mg/dL)). With a threshold of 4.5, this alternative formula predicted partial remission with a sensitivity and a specificity of 72.3% and 92%, respectively, and yielded strong correlation with IDAA1C levels and BETA-2 score, which is a correlate of β-cell function after islet transplantation. We propose GTAA1C, based on routine and objective markers of glycemic variability, as a valid alternative for definition of partial remission in type 1 diabetes. Although different criteria were used to define partial remission in type 1 diabetes, the IDAA1C formula has prevailed as it correlates with stimulated C-peptide levels. Our retrospective study evaluated clinical variables associated with the occurrence of IDAA1C-defined partial remission in a series of 239 pediatric patients. Diabetic ketoacidosis and age at diagnosis, but no other clinical feature, influenced the occurrence of remission. We then evaluated whether parameters of glycemic variability used in clinical routine may reliably define partial remission, as these would alleviate confounding factors related to insulin treatment. Using multiple linear regression, we observed that HbA levels and percentage of normoglycemia were efficient and sufficient to predict partial remission. These parameters were entered into a formula, called glycemic target-adjusted HbA (GTAA ), that corresponded to HbA - (3 × % of normoglycemic values ). With a threshold of 4.5, this alternative formula predicted partial remission with a sensitivity and a specificity of 72.3% and 92%, respectively, and yielded strong correlation with IDAA1C levels and BETA-2 score, which is a correlate of -cell function after islet transplantation. We propose GTAA , based on routine and objective markers of glycemic variability, as a valid alternative for definition of partial remission in type 1 diabetes. Although different criteria were used to define partial remission in type 1 diabetes, the IDAA1C formula has prevailed as it correlates with stimulated C-peptide levels. Our retrospective study evaluated clinical variables associated with the occurrence of IDAA1C-defined partial remission in a series of 239 pediatric patients. Diabetic ketoacidosis and age at diagnosis, but no other clinical feature, influenced the occurrence of remission. We then evaluated whether parameters of glycemic variability used in clinical routine may reliably define partial remission, as these would alleviate confounding factors related to insulin treatment. Using multiple linear regression, we observed that HbA1C levels and percentage of normoglycemia were efficient and sufficient to predict partial remission. These parameters were entered into a formula, called glycemic target-adjusted HbA1C (GTAA1C), that corresponded to HbA1C(%) - (3 × % of normoglycemic values(70-180 mg/dL)). With a threshold of 4.5, this alternative formula predicted partial remission with a sensitivity and a specificity of 72.3% and 92%, respectively, and yielded strong correlation with IDAA1C levels and BETA-2 score, which is a correlate of β-cell function after islet transplantation. We propose GTAA1C, based on routine and objective markers of glycemic variability, as a valid alternative for definition of partial remission in type 1 diabetes.Although different criteria were used to define partial remission in type 1 diabetes, the IDAA1C formula has prevailed as it correlates with stimulated C-peptide levels. Our retrospective study evaluated clinical variables associated with the occurrence of IDAA1C-defined partial remission in a series of 239 pediatric patients. Diabetic ketoacidosis and age at diagnosis, but no other clinical feature, influenced the occurrence of remission. We then evaluated whether parameters of glycemic variability used in clinical routine may reliably define partial remission, as these would alleviate confounding factors related to insulin treatment. Using multiple linear regression, we observed that HbA1C levels and percentage of normoglycemia were efficient and sufficient to predict partial remission. These parameters were entered into a formula, called glycemic target-adjusted HbA1C (GTAA1C), that corresponded to HbA1C(%) - (3 × % of normoglycemic values(70-180 mg/dL)). With a threshold of 4.5, this alternative formula predicted partial remission with a sensitivity and a specificity of 72.3% and 92%, respectively, and yielded strong correlation with IDAA1C levels and BETA-2 score, which is a correlate of β-cell function after islet transplantation. We propose GTAA1C, based on routine and objective markers of glycemic variability, as a valid alternative for definition of partial remission in type 1 diabetes. |
Audience | Academic |
Author | Robert, A. Nielens, Nina Lysy, Philippe A. Pollé, Olivier |
AuthorAffiliation | 2 Pôle Epidémiologie et Biostatistique, Institut de Recherche Expérimentale et Clinique, Université Catholique de Louvain, Av. Hippocrate 10, 1200 Brussels, Belgium 1 Pediatric Endocrinology Unit, Cliniques Universitaires Saint Luc, Av. Hippocrate 10, 1200 Brussels, Belgium |
AuthorAffiliation_xml | – name: 2 Pôle Epidémiologie et Biostatistique, Institut de Recherche Expérimentale et Clinique, Université Catholique de Louvain, Av. Hippocrate 10, 1200 Brussels, Belgium – name: 1 Pediatric Endocrinology Unit, Cliniques Universitaires Saint Luc, Av. Hippocrate 10, 1200 Brussels, Belgium |
Author_xml | – sequence: 1 fullname: Lysy, Philippe A. – sequence: 2 fullname: Robert, A. – sequence: 3 fullname: Pollé, Olivier – sequence: 4 fullname: Nielens, Nina |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/29568778$$D View this record in MEDLINE/PubMed |
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Cites_doi | 10.1001/archinte.164.19.2147 10.2337/dc08-1987 10.1016/j.diabres.2004.10.001 10.2337/diabetes.52.11.2795 10.2337/db08-0063 10.1016/j.trsl.2014.02.004 10.1111/j.1399-543X.2006.00155.x 10.2337/dc16-2426 10.1515/jpem-2017-0019 10.1007/s13410-014-0230-y 10.1055/s-2007-948214 10.1007/s00125-009-1304-0 10.1111/pedi.12171 10.1111/pedi.12186 10.2337/dc12-0063 10.1016/0168-8227(91)90135-Z 10.1111/dme.12097 10.1210/jc.2012-2115 10.2337/diacare.26.3.832 10.1111/j.1399-5448.2009.00583.x 10.1111/pedi.12413 10.1007/BF00279611 10.1152/physrev.00003.2010 10.1007/s00125-007-0820-z 10.2337/diacare.28.2.343 10.2337/dc14-2898 10.1371/journal.pone.0176860 10.1111/dme.12159 10.1016/j.diabres.2016.04.025 10.2337/diab.46.2.271 10.2337/diabetes.53.1.250 10.1155/2014/851378 10.2337/dc11-2190 10.2337/dc13-0418 10.1001/jama.295.14.1681 10.1111/j.1399-543X.2004.00034.x 10.2337/diab.37.1.81 10.1056/NEJMoa1408214 10.2337/dc16-0360 10.2337/db07-1817 10.1007/s00431-004-1560-4 10.2337/diacare.7.6.520 10.1097/TP.0000000000001381 10.3109/03014460903049074 10.1111/j.1399-5448.2008.00376.x 10.1159/000479030 10.1007/s00125-015-3559-y 10.1111/ajt.13807 10.4172/1747-0862.1000126 10.1111/pedi.12208 10.1111/pedi.12188 10.1515/jpem.2001.14.4.435 10.2337/diacare.16.1.125 10.2337/db10-0676 10.1111/pedi.12030 10.3390/ijms151018381 10.1016/S0140-6736(11)60931-8 |
ContentType | Journal Article |
Copyright | Copyright © 2018 Nina Nielens et al. COPYRIGHT 2018 John Wiley & Sons, Inc. Copyright © 2018 Nina Nielens et al. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. Copyright © 2018 Nina Nielens et al. 2018 |
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Snippet | Although different criteria were used to define partial remission in type 1 diabetes, the IDAA1C formula has prevailed as it correlates with stimulated... |
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SubjectTerms | Adolescent Age Analysis Blood Glucose - metabolism Child Child, Preschool Children Children & youth Consciousness Diabetes Diabetes Mellitus, Type 1 - blood Diabetes Mellitus, Type 1 - diagnosis Diabetes Mellitus, Type 1 - physiopathology Diabetes Mellitus, Type 1 - therapy Diabetes therapy Diabetic ketoacidosis Diagnostic Techniques, Endocrine Diagnostic Tests, Routine - methods Female Gender Glucose Glycated Hemoglobin A - metabolism Health aspects Humans Insulin Insulin-Secreting Cells - physiology Male Mass Screening - methods Methods Pediatrics Peptides Probability distribution Remission (Medicine) Remission Induction Retrospective Studies Sensitivity and Specificity Software Standard deviation Type 1 diabetes |
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Title | Integration of Routine Parameters of Glycemic Variability in a Simple Screening Method for Partial Remission in Children with Type 1 Diabetes |
URI | https://search.emarefa.net/detail/BIM-1183732 https://dx.doi.org/10.1155/2018/5936360 https://www.ncbi.nlm.nih.gov/pubmed/29568778 https://www.proquest.com/docview/2407646903 https://www.proquest.com/docview/2018015474 https://pubmed.ncbi.nlm.nih.gov/PMC5822787 https://doaj.org/article/bfcb3d1a82e247e582df04de3cc85793 |
Volume | 2018 |
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