| Autor: |
Beth A Reboussin, Anna R Kahkoska, Crystal T Nguyen, Xiaotong Jiang, Linda A Adair, Shivani Agarwal, Allison E Aiello, Kyle S Burger, Lawrence M Dolan, Jean Marie Lawrence, Catherine Pihoker, Katherine A Sauder, Michael R Kosorok, Elizabeth J Mayer-Davis |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
BMJ Open Diabetes Research & Care, Vol 8, Iss 1 (2020) |
| Druh dokumentu: |
article |
| ISSN: |
2052-4897 |
| DOI: |
10.1136/bmjdrc-2019-000886 |
| Popis: |
IntroductionIndividuals with type 1 diabetes (T1D) present with diverse body weight status and degrees of glycemic control, which may warrant different treatment approaches. We sought to identify subgroups sharing phenotypes based on both weight and glycemia and compare characteristics across subgroups.Research design and methodsParticipants with T1D in the SEARCH study cohort (n=1817, 6.0–30.4 years) were seen at a follow-up visit >5 years after diagnosis. Hierarchical agglomerative clustering was used to group participants based on five measures summarizing the joint distribution of body mass index z-score (BMIz) and hemoglobin A1c (HbA1c) which were estimated by reinforcement learning tree predictions from 28 covariates. Interpretation of cluster weight status and glycemic control was based on mean BMIz and HbA1c, respectively.ResultsThe sample was 49.5% female and 55.5% non-Hispanic white (NHW); mean±SD age=17.6±4.5 years, T1D duration=7.8±1.9 years, BMIz=0.61±0.94, and HbA1c=76±21 mmol/mol (9.1±1.9)%. Six weight-glycemia clusters were identified, including four normal weight, one overweight, and one subgroup with obesity. No cluster had a mean HbA1c |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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