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Rigshospitalet - en del af Københavns Universitetshospital
Udgivet

Prediction of Excessive Weight Gain in Insulin Treated Patients with Type 2 Diabetes

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

DOI

  1. Striated muscle fiber size, composition, and capillary density in diabetes in relation to neuropathy and muscle strength

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  • Simon Lebech Cichosz
  • Louise Lundby-Christensen
  • Mette D Johansen
  • Lise Tarnow
  • Thomas Peter Almdal
  • Ole K Hejlesen
  • CIMT Trial group
  • Sten Madsbad (Medlem af forfattergruppering)
  • Ole Snorgaard (Medlem af forfattergruppering)
  • Birthe Gade-Rasmussen (Medlem af forfattergruppering)
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AIMS: Weight gain is an ongoing challenge when initiating insulin therapy in patients with Type 2 diabetes mellitus. However, if prediction of insulin associated weight gain was possible on an individualized level, targeted initiatives could be implemented to reduce weight gain. The objective of this study was to identify predictors of weight gain in insulin treated patients with Type 2 diabetes mellitus.

METHODS: A total of 412 individuals with Type 2 diabetes mellitus were, in addition to metformin or placebo, randomized into 18-month treatment groups with three different insulin analogue treatment regimens. Participants with excessive weight gain were defined as the group with weight gain in the 4(th) quartile. We developed a pattern classification method to predict individuals prone to excessive weight gain.

RESULTS: The median weight gain among all patients (n = 412) was 2.4 (95% prediction interval: -5.6 to 12.4) kg and 8.9 (95%: 6.3 to 15.2) kg for the upper 4(th) quartile (n = 103) during the 18 months. No clinical baseline data were strong predictors of excessive weight gain. However, the weight gain during the first 3 months of the trial and the subsequent dose of insulin yielded a useful predictor for the weight gain at the 18-month follow-up. Combining these two predictors into a prediction model with other clinical available information produced a ROC AUC of 0.80.

CONCLUSIONS: We have developed a prediction model that could help to identify a substantial proportion of individuals with Type 2 diabetes prone to large weight gain during insulin therapy.

OriginalsprogEngelsk
TidsskriftJournal of Diabetes
Vol/bind9
Udgave nummer4
Sider (fra-til)325-331
ISSN1753-0393
DOI
StatusUdgivet - 2017

ID: 46415687