Analysis of Prevalence, Magnitude and Timing of the Dawn Phenomenon in Adults and Adolescents With Type 1 Diabetes: Descriptive Analysis of 2 Insulin Pump Trials.


Journal

Canadian journal of diabetes
ISSN: 2352-3840
Titre abrégé: Can J Diabetes
Pays: Canada
ID NLM: 101148810

Informations de publication

Date de publication:
Apr 2020
Historique:
received: 09 05 2019
revised: 01 08 2019
accepted: 06 08 2019
pubmed: 22 10 2019
medline: 9 1 2021
entrez: 22 10 2019
Statut: ppublish

Résumé

To better understand the dawn phenomenon in type 1 diabetes, we sought to determine its prevalence, timing and magnitude in studies specifically designed to assess basal insulin requirements in patients using insulin pumps. Thirty-three participants from 2 sensor-augmented insulin pump studies were analyzed. Twenty participants were obtained from a methodologically ideal semiautomated basal analysis trial in which basal rates were determined from repeated fasting tests (the derivation set) and 13 from an artificial pancreas trial in which duration of fasting was variable (the "confirmation" set). Prevalence was determined for the total cohort and for individual trials using the standard definition of an increase in insulin exceeding 20% and lasting ≥90 minutes. Among cases, time of onset and percent change in the magnitude of basal delivery were determined. Seventeen participants (52%) experienced the dawn phenomenon (11 of 20 [55%] in the derivation set and 6 of 13 [46%] in the confirmation set). Time of onset was 3 AM (interquartile range [IQR], 3 to 4:15 AM) in the derivation set and 3 AM (IQR, 3 to 4 AM) in the confirmation set. The magnitude of the dawn phenomenon was a 58.1% (IQR, 28.8% to 110.6%) increase in insulin requirements in the derivation set and 65.5% (IQR, 45.6% to 87.4%) in the confirmation set. The dawn phenomenon occurs in approximately half of patients with type 1 diabetes; when present, it has predictable timing of onset (generally 3 AM) and a substantial, but highly variable, magnitude. These findings imply that optimization of glycemic control requires clinical emphasis on fasted overnight basal insulin assessment.

Identifiants

pubmed: 31630987
pii: S1499-2671(19)30593-3
doi: 10.1016/j.jcjd.2019.08.003
pii:
doi:

Substances chimiques

Hypoglycemic Agents 0
Insulin 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

229-235

Informations de copyright

Copyright © 2019 Canadian Diabetes Association. Published by Elsevier Inc. All rights reserved.

Auteurs

Ilia Ostrovski (I)

Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada.

Leif E Lovblom (LE)

Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada.

Daniel Scarr (D)

Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada.

Alanna Weisman (A)

Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada.

Nancy Cardinez (N)

Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada.

Andrej Orszag (A)

Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada.

C Marcelo Falappa (CM)

Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada.

Émilie D'Aoust (É)

Institut de recherches Cliniques de Montréal, Montréal, Québec, Canada.

Ahmad Haidar (A)

Department of Biomedical Engineering, Faculty of Medicine, McGill University, Montréal, Québec, Canada; Research Institute of McGill University Health Centre, Montréal, Québec, Canada.

Rémi Rabasa-Lhoret (R)

Institut de recherches Cliniques de Montréal, Montréal, Québec, Canada; Division of Experimental Medicine, McGill University, Montréal, Québec, Canada; Nutrition Department, Faculty of Medicine, Université de Montréal, Montréal, Québec, Canada; Montreal Diabetes Research Centre, Montréal, Québec, Canada.

Laurent Legault (L)

Montreal Children's Hospital, McGill University Health Centre, Montréal, Québec, Canada.

Bruce A Perkins (BA)

Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada; Division of Endocrinology and Metabolism, Department of Medicine, University of Toronto, Toronto, Ontario, Canada. Electronic address: bruce.perkins@sinaihealthsystem.ca.

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