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

Katherine R Marino1, Rachel L Lundberg1, Aastha Jasrotia1

  • 1Division of Endocrinology, Department of Pediatrics, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America.

Plos One
|May 2, 2017
PubMed

Insights

Over half of new type 1 diabetes (T1D) patients don't achieve partial clinical remission (PCR), increasing long-term complication risks. Early identification of non-remitters using clinical factors can guide targeted therapies for better glycemic control.

Area of Science:

  • Pediatric Endocrinology
  • Diabetes Mellitus Research
  • Autoimmune Disease Studies

Background:

  • More than 50% of children and adolescents with new-onset type 1 diabetes (T1D) fail to achieve partial clinical remission (PCR).
  • Lack of PCR in T1D is linked to increased risk of long-term diabetes mellitus complications.
  • Early identification of non-remitters is crucial for improving initial glycemic control.

Purpose of the Study:

  • To identify routinely obtainable clinical parameters that predict non-remission in pediatric patients with new-onset T1D.
  • To develop a predictive model for non-remission in children and adolescents with T1D.

Main Methods:

  • A cohort of 204 children and adolescents (ages 2-14) with new-onset T1D were monitored for 36 months.
  • Partial clinical remission (PCR) was defined as an insulin-dose adjusted hemoglobin A1c of ≤9.
  • Clinical parameters including autoantibody levels and bicarbonate levels at diagnosis were analyzed.

Main Results:

  • 57.8% of subjects did not achieve non-remission.
  • Predictors of non-remission included 4+ diabetes-associated autoantibodies (OR=9.90), age <5 years (OR=5.38), and bicarbonate <15 mg/dL at diagnosis (OR=3.71).
  • A predictive model using bicarbonate <15 mg/dL, age <5 years, female sex, and >3 autoantibodies demonstrated an AUC of 0.73 for predicting non-remission.

Conclusions:

  • A significant proportion of children and adolescents with new-onset T1D do not achieve partial clinical remission.
  • A predictive model incorporating bicarbonate levels, age, sex, and autoantibody count can identify non-remitters with 73% accuracy.
  • Early identification of non-remitters allows for targeted therapies to mitigate dysglycemia and reduce long-term complications.
Abstract

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