Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/151149
Author(s): Cardoso, S
Pereira, SS
Almeida, RF
Osorio, C
Silva, D
Nora, M
Monteiro, M
Guimaraes, M
Title: Accuracy of prediction models for long-term type 2 diabetes remission after gastric bypass
Issue Date: 2023
Abstract: AimTo evaluate the accuracy of DiaBetter, DiaRem, Ad-DiaRem and 5y-Ad-DiaRem scores' at predicting T2D remission 10 or more years after surgery.MethodsPatients with obesity and T2D (n = 126) submitted to RYGB with 10 or more years of follow-up. It was a unicentric trial. Pre-operative anthropometric and clinical data was retrieved to calculate DiaRem, DiaBetter, Ad-DiaRem and 5y-Ad-DiaRem scores, while a hospital visit was conducted to assess current diabetes status. The area under the receiver operating characteristic (AUROC) curve was calculated as estimate of the scores' accuracy to predict long-term T2D remission.ResultsAmong the entire cohort (n = 126), 70 subjects (55.6%) achieved and maintained T2D remission 10 or more years after RYGB. The 5y-Ad-DiaRem score was the one that depicted the highest discriminative power (AUROC = 0.838) to predict long-term T2D remission when compared to DiaBetter (AUROC = 0.735), DiaRem (AUROC = 0.721) and Ad-DiaRem (AUROC = 0.720).ConclusionThe score with highest accuracy to predict long-term T2D remission after RYGB surgery was the 5y-Ad-DiaRem. Yet, the available scores accuracy to predict T2D remission in the long term is still suboptimal, highlighting the unmet need for a better scoring system.
DOI: 10.1007/s00592-023-02092-1
URI: https://hdl.handle.net/10216/151149
Document Type: Artigo em Revista Científica Internacional
Rights: openAccess
Appears in Collections:ICBAS - Artigo em Revista Científica Internacional

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