The advanced-DiaRem score improves prediction of diabetes remission 1 year post-Roux-en-Y gastric bypass

Judith Aron-Wisnewsky, Nataliya Sokolovska, Yuejun Liu, Doron S. Comaneshter, Shlomo Vinker, Tal Pecht, Christine Poitou, Jean Michel Oppert, Jean Luc Bouillot, Laurent Genser, Dror Dicker, Jean Daniel Zucker, Assaf Rudich, Karine Clément*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


Aims/hypothesis: Not all people with type 2 diabetes who undergo bariatric surgery achieve diabetes remission. Thus it is critical to develop methods for predicting outcomes that are applicable for clinical practice. The DiaRem score is relevant for predicting diabetes remission post-Roux-en-Y gastric bypass (RYGB), but it is not accurate for all individuals across the entire spectrum of scores. We aimed to develop an improved scoring system for predicting diabetes remission following RYGB (the Advanced-DiaRem [Ad-DiaRem]). Methods: We used a retrospective French cohort (n = 1866) that included 352 individuals with type 2 diabetes followed for 1 year post-RYGB. We developed the Ad-DiaRem in a test cohort (n = 213) and examined its accuracy in independent cohorts from France (n = 134) and Israel (n = 99). Results: Adding two clinical variables (diabetes duration and number of glucose-lowering agents) to the original DiaRem and modifying the penalties for each category led to improved predictive performance for Ad-DiaRem. Ad-DiaRem displayed improved area under the receiver operating characteristic curve and predictive accuracy compared with DiaRem (0.911 vs 0.856 and 0.841 vs 0.789, respectively; p = 0.03); thus correcting classification for 8% of those initially misclassified with DiaRem. With Ad-DiaRem, there were also fewer misclassifications of individuals with mid-range scores. This improved predictive performance was confirmed in independent cohorts. Conclusions/interpretation: We propose the Ad-DiaRem, which includes two additional clinical variables, as an optimised tool with improved accuracy to predict diabetes remission 1 year post-RYGB. This tool might be helpful for personalised management of individuals with diabetes when considering bariatric surgery in routine care, ultimately contributing to precision medicine.

Original languageEnglish
Pages (from-to)1892-1902
Number of pages11
Issue number10
StatePublished - 1 Oct 2017


FundersFunder number
ANR AdipofibANR-10-IAHU-05
Direction of Clinical ResearchCRC
PHRC02076, CRC P050318
National Radio Research Agency
Ben-Gurion University of the Negev
Université Pierre et Marie Curie


    • Bariatric surgery
    • Diabetes remission
    • Obese
    • Type 2 diabetes mellitus


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