Cargando…

A predictive model for lack of partial clinical remission in new-onset pediatric type 1 diabetes

IMPORTANCE: >50% of patients with new-onset type 1 diabetes (T1D) do not enter partial clinical remission (PCR); early identification of these patients may improve initial glycemic control and reduce long-term complications. AIM: To determine whether routinely obtainable clinical parameters predi...

Descripción completa

Detalles Bibliográficos
Autores principales: Marino, Katherine R., Lundberg, Rachel L., Jasrotia, Aastha, Maranda, Louise S., Thompson, Michael J., Barton, Bruce A., Alonso, Laura C., Nwosu, Benjamin Udoka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5411061/
https://www.ncbi.nlm.nih.gov/pubmed/28459844
http://dx.doi.org/10.1371/journal.pone.0176860
_version_ 1783232779446648832
author Marino, Katherine R.
Lundberg, Rachel L.
Jasrotia, Aastha
Maranda, Louise S.
Thompson, Michael J.
Barton, Bruce A.
Alonso, Laura C.
Nwosu, Benjamin Udoka
author_facet Marino, Katherine R.
Lundberg, Rachel L.
Jasrotia, Aastha
Maranda, Louise S.
Thompson, Michael J.
Barton, Bruce A.
Alonso, Laura C.
Nwosu, Benjamin Udoka
author_sort Marino, Katherine R.
collection PubMed
description IMPORTANCE: >50% of patients with new-onset type 1 diabetes (T1D) do not enter partial clinical remission (PCR); early identification of these patients may improve initial glycemic control and reduce long-term complications. AIM: To determine whether routinely obtainable clinical parameters predict non-remission in children and adolescents with new-onset T1D. SUBJECTS AND METHODS: Data on remission were collected for the first 36 months of disease in 204 subjects of ages 2–14 years with new-onset type 1 diabetes. There were 86 remitters (age 9.1±3.0y; male 57%), and 118 non-remitters (age 7.0±3.1y; male 40.7%). PCR was defined as insulin-dose adjusted hemoglobin A1c of ≤9. RESULTS: Non-remission occurred in 57.8% of subjects. Univariable analysis showed that the risk for non-remission was increased 9-fold in patients with 4 diabetes-associated auto-antibodies (OR = 9.90, p = 0.010); 5-fold in patients <5 years old (odds ratio = 5.38, p = 0.032), 3-fold in those with bicarbonate of <15 mg/dL at diagnosis (OR = 3.71, p = 0.008). Combined estimates of risk potential for HC0(3) and the number of autoantibodies by multivariable analysis, adjusted for BMI standard deviation score, showed HC0(3) <15 mg/dL with a clinically significant 10-fold risk (OR = 10.1, p = 0.074); and the number of autoantibodies with a 2-fold risk for non-remission (OR = 1.9, p = 0.105). Male sex and older age were associated with decreased risk for non-remission. A receiver-operating characteristic curve model depicting sensitivity by 1-specificity for non-remission as predicted by bicarbonate <15 mg/dL, age <5y, female sex, and >3 diabetes-associated autoantibodies had an area under the curve of 0.73. CONCLUSIONS: More than 50% of children and adolescents with new-onset T1D do not undergo partial clinical remission and are thus at an increased risk for long-term complications of diabetes mellitus. A predictive model comprising of bicarbonate <15 mg/dL, age <5y, female sex, and >3 diabetes-associated autoantibodies has 73% power for correctly predicting non-remission in children and adolescents with new-onset T1D. Early identification of these non-remitters may guide the institution of targeted therapy to limit dysglycemia and reduce the prevalence of long-term deleterious complications.
format Online
Article
Text
id pubmed-5411061
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-54110612017-05-12 A predictive model for lack of partial clinical remission in new-onset pediatric type 1 diabetes Marino, Katherine R. Lundberg, Rachel L. Jasrotia, Aastha Maranda, Louise S. Thompson, Michael J. Barton, Bruce A. Alonso, Laura C. Nwosu, Benjamin Udoka PLoS One Research Article IMPORTANCE: >50% of patients with new-onset type 1 diabetes (T1D) do not enter partial clinical remission (PCR); early identification of these patients may improve initial glycemic control and reduce long-term complications. AIM: To determine whether routinely obtainable clinical parameters predict non-remission in children and adolescents with new-onset T1D. SUBJECTS AND METHODS: Data on remission were collected for the first 36 months of disease in 204 subjects of ages 2–14 years with new-onset type 1 diabetes. There were 86 remitters (age 9.1±3.0y; male 57%), and 118 non-remitters (age 7.0±3.1y; male 40.7%). PCR was defined as insulin-dose adjusted hemoglobin A1c of ≤9. RESULTS: Non-remission occurred in 57.8% of subjects. Univariable analysis showed that the risk for non-remission was increased 9-fold in patients with 4 diabetes-associated auto-antibodies (OR = 9.90, p = 0.010); 5-fold in patients <5 years old (odds ratio = 5.38, p = 0.032), 3-fold in those with bicarbonate of <15 mg/dL at diagnosis (OR = 3.71, p = 0.008). Combined estimates of risk potential for HC0(3) and the number of autoantibodies by multivariable analysis, adjusted for BMI standard deviation score, showed HC0(3) <15 mg/dL with a clinically significant 10-fold risk (OR = 10.1, p = 0.074); and the number of autoantibodies with a 2-fold risk for non-remission (OR = 1.9, p = 0.105). Male sex and older age were associated with decreased risk for non-remission. A receiver-operating characteristic curve model depicting sensitivity by 1-specificity for non-remission as predicted by bicarbonate <15 mg/dL, age <5y, female sex, and >3 diabetes-associated autoantibodies had an area under the curve of 0.73. CONCLUSIONS: More than 50% of children and adolescents with new-onset T1D do not undergo partial clinical remission and are thus at an increased risk for long-term complications of diabetes mellitus. A predictive model comprising of bicarbonate <15 mg/dL, age <5y, female sex, and >3 diabetes-associated autoantibodies has 73% power for correctly predicting non-remission in children and adolescents with new-onset T1D. Early identification of these non-remitters may guide the institution of targeted therapy to limit dysglycemia and reduce the prevalence of long-term deleterious complications. Public Library of Science 2017-05-01 /pmc/articles/PMC5411061/ /pubmed/28459844 http://dx.doi.org/10.1371/journal.pone.0176860 Text en © 2017 Marino et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Marino, Katherine R.
Lundberg, Rachel L.
Jasrotia, Aastha
Maranda, Louise S.
Thompson, Michael J.
Barton, Bruce A.
Alonso, Laura C.
Nwosu, Benjamin Udoka
A predictive model for lack of partial clinical remission in new-onset pediatric type 1 diabetes
title A predictive model for lack of partial clinical remission in new-onset pediatric type 1 diabetes
title_full A predictive model for lack of partial clinical remission in new-onset pediatric type 1 diabetes
title_fullStr A predictive model for lack of partial clinical remission in new-onset pediatric type 1 diabetes
title_full_unstemmed A predictive model for lack of partial clinical remission in new-onset pediatric type 1 diabetes
title_short A predictive model for lack of partial clinical remission in new-onset pediatric type 1 diabetes
title_sort predictive model for lack of partial clinical remission in new-onset pediatric type 1 diabetes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5411061/
https://www.ncbi.nlm.nih.gov/pubmed/28459844
http://dx.doi.org/10.1371/journal.pone.0176860
work_keys_str_mv AT marinokatheriner apredictivemodelforlackofpartialclinicalremissioninnewonsetpediatrictype1diabetes
AT lundbergrachell apredictivemodelforlackofpartialclinicalremissioninnewonsetpediatrictype1diabetes
AT jasrotiaaastha apredictivemodelforlackofpartialclinicalremissioninnewonsetpediatrictype1diabetes
AT marandalouises apredictivemodelforlackofpartialclinicalremissioninnewonsetpediatrictype1diabetes
AT thompsonmichaelj apredictivemodelforlackofpartialclinicalremissioninnewonsetpediatrictype1diabetes
AT bartonbrucea apredictivemodelforlackofpartialclinicalremissioninnewonsetpediatrictype1diabetes
AT alonsolaurac apredictivemodelforlackofpartialclinicalremissioninnewonsetpediatrictype1diabetes
AT nwosubenjaminudoka apredictivemodelforlackofpartialclinicalremissioninnewonsetpediatrictype1diabetes
AT marinokatheriner predictivemodelforlackofpartialclinicalremissioninnewonsetpediatrictype1diabetes
AT lundbergrachell predictivemodelforlackofpartialclinicalremissioninnewonsetpediatrictype1diabetes
AT jasrotiaaastha predictivemodelforlackofpartialclinicalremissioninnewonsetpediatrictype1diabetes
AT marandalouises predictivemodelforlackofpartialclinicalremissioninnewonsetpediatrictype1diabetes
AT thompsonmichaelj predictivemodelforlackofpartialclinicalremissioninnewonsetpediatrictype1diabetes
AT bartonbrucea predictivemodelforlackofpartialclinicalremissioninnewonsetpediatrictype1diabetes
AT alonsolaurac predictivemodelforlackofpartialclinicalremissioninnewonsetpediatrictype1diabetes
AT nwosubenjaminudoka predictivemodelforlackofpartialclinicalremissioninnewonsetpediatrictype1diabetes