Worsening metabolic control, weight changes and increasing insulin dose during puberty have emerged as a challenge in diabetes care. However, individual variation is large. Data from the German/Austrian/Luxembourgian diabetes registry DPV were used to identify distinct patterns of hemoglobin A1c (HbA1c), age/sex-standardized body mass index (BMI-SDS) and daily insulin dose from childhood to young adulthood.
Longitudinal data from 9,239 participants with T1D aged 8 to 18 years with duration >=2 years and >=5 years of follow-up were analyzed. We applied group-based multitrajectory (GBMT) modeling, a generalization of the group-based trajectory approach, to identify latent groups of subjects following similar developmental curves over time across multiple variables (Nagin, 2018). The GBMT approach revealed five unique groups of heterogeneous HbA1c, BMI-SDS and insulin dose patterns over time (Fig1). Differences in age at onset, gender, migration background as well as height-SDS, insulin pump and CGM usage, frequency of SMBG and physical activity were found across all groups. The present study identified for the first time five distinct multitrajectories of HbA1c, BMI-SDS and insulin dose during puberty. This approach demonstrates that variability between individuals is obscured by statistics on central tendency.
Disclosure
A. Schwandt: None. O. Kuss: None. D.P. Dunstheimer: None. B. Karges: None. T.M. Kapellen: None. T. Meissner: None. M. Witsch: None. M. Flury: Other Relationship; Self; Pfizer Inc. S. Straubinger: None. R.W. Holl: None.
Funding
German Center for Diabetes Research; Robert Koch Institute; German Diabetes Association
