Data-driven subgroups of type 2 diabetes, metabolic response, and renal risk profile after bariatric surgery: a retrospective cohort study

Autor: Violeta Raverdy, Ricardo V Cohen, Robert Caiazzo, Helene Verkindt, Tarissa Beatrice Zanata Petry, Camille Marciniak, Benjamin Legendre, Pierre Bauvin, Estelle Chatelain, Alain Duhamel, Elodie Drumez, Naima Oukhouya-Daoud, Mikael Chetboun, Gregory Baud, Emma Ahlqvist, Niels Wierup, Olof Asplund, Blandine Laferrère, Leif Groop, FranÇois Pattou
Přispěvatelé: Recherche translationnelle sur le diabète - U 1190 (RTD), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Lille Inflammation Research International Center - U 995 (LIRIC), CIC CHU ( Lille)/inserm, Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille, Droit et Santé, Evaluation des technologies de santé et des pratiques médicales - ULR 2694 (METRICS), Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Lund University [Lund], Laboratoire des Adaptations Métaboliques à l'Exercice en Conditions Physiologiques et Pathologiques (AME2P), Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-UFR Sciences et Techniques des Activités Physiques et Sportives - Clermont-Ferrand (UFR STAPS - UBP), Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Université Blaise Pascal - Clermont-Ferrand 2 (UBP), ANR-16-RHUS-0006,PreciNASH,PreciNASH(2016)
Rok vydání: 2022
Předmět:
Zdroj: The Lancet. Diabetes & Endocrinology
The Lancet. Diabetes & Endocrinology, 2022, The Lancet Diabetes & Endocrinology, ⟨10.1016/s2213-8587(22)00005-5⟩
ISSN: 2213-8587
2213-8595
Popis: International audience; Background: A novel data-driven classification of type 2 diabetes has been proposed to personalise anti-diabetic treatment according to phenotype. One subgroup, severe insulin-resistant diabetes (SIRD), is characterised by mild hyperglycaemia but marked hyperinsulinaemia, and presents an increased risk of diabetic nephropathy. We hypothesised that patients with SIRD could particularly benefit from metabolic surgery.Methods: We retrospectively related the newly defined clusters with the response to metabolic surgery in participants with type 2 diabetes from independent cohorts in France (the Atlas Biologique de l'Obésite Sévère [ABOS] cohort, n=368; participants underwent Roux-en-Y gastric bypass or sleeve gastrectomy between Jan 1, 2006, and Dec 12, 2017) and Brazil (the metabolic surgery cohort of the German Hospital of San Paulo, n=121; participants underwent Roux-en-Y gastric bypass between April 1, 2008, and March 20, 2016). The study outcomes were type 2 diabetes remission and improvement of estimated glomerular filtration rate (eGFR).Findings: At baseline, 34 (9%) of 368 patients, 314 (85%) of 368 patients, and 17 (5%) of 368 patients were classified as having SIRD, mild obesity-related diabetes (MOD), and severe insulin deficient diabetes (SIDD) in the ABOS cohort, respectively, and in the São Paulo cohort, ten (8%) of 121 patients, 83 (69%) of 121 patients, and 25 (21%) of 121 patients were classified as having SIRD, MOD, and SIDD, respectively. At 1 year, type 2 diabetes remission was reported in 26 (81%) of 32 and nine (90%) of ten patients with SIRD, 167 (55%) of 306 and 42 (51%) of 83 patients with MOD, and two (13%) of 16 and nine (36%) of 25 patients with SIDD, in the ABOS and São Paulo cohorts, respectively. The mean eGFR was lower in patients with SIRD at baseline and increased postoperatively in these patients in both cohorts. In multivariable analysis, SIRD was associated with more frequent type 2 diabetes remission (odds ratio 4·3, 95% CI 1·8-11·2; p=0·0015), and an increase in eGFR (mean effect size 13·1 ml/min per 1·73 m2, 95% CI 3·6-22·7; p=0·0070).Interpretation: Patients in the SIRD subgroup had better outcomes after metabolic surgery, both in terms of type 2 diabetes remission and renal function, with no additional surgical risk. Data-driven classification might help to refine the indications for metabolic surgery.Funding: Agence Nationale de la Recherche, Investissement d'Avenir, Innovative Medecines Initiative, Fondation Cœur et Artères, and Fondation Francophone pour la Recherche sur le Diabète.
Databáze: OpenAIRE
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