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DiaRem2: Incorporating Duration of Diabetes to Improve Prediction of Diabetes Remission After Metabolic Surgery

Overview
Publisher Elsevier
Specialty Endocrinology
Date 2019 Jan 29
PMID 30686670
Citations 6
Authors
Affiliations
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Abstract

Background: DiaRem is a validated tool for predicting the likelihood of type 2 diabetes (T2D) remission after Roux-en-Y gastric bypass (RYGB) surgery.

Objectives: The objective of this study was to determine if the addition of duration of T2D to DiaRem improves its ability to discriminate between patients with or without T2D remission and/or to reclassify presurgery patients into accurate risk groups.

Setting: Academic Medical Center.

Methods: This study included patients consented into a prospective registry of Roux-en-Y gastric bypass between July 2009 and November 2015 with known duration of T2D (n = 307). Electronic health record-derived duration of T2D was compared with patient reported duration of T2D in a subset of patients (n = 48). DiaRem2 was created using clinical variables from DiaRem and duration of T2D. Area under the curve and the net reclassification index were used to assess increased performance of DiaRem2.

Results: Self-reported duration of T2D was highly concordant with electronic health record-derived T2D duration (96% agreement). Early T2D remission occurred in 44% of patients. DiaRem2 included age, hemoglobin A1C, insulin medication use, and duration of T2D. DiaRem2 had a higher area under the curve than DiaRem (.876 versus .850, P = .026), reduced the number of remission risk groups from 5 down to 3, and reclassified patients from intermediate to either high or low remission groups (net reclassification index, P < .0001).

Conclusions: DiaRem2 simplifies and improves the accuracy of assessing probability of T2M remission after Roux-en-Y gastric bypass. Self-reported duration of T2D is an acceptable surrogate for T2D duration derived from clinical data.

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