Academic Journal
Applicability of individualized metabolic surgery score for prediction of diabetes remission after endoscopic sleeve gastroplasty
العنوان: | Applicability of individualized metabolic surgery score for prediction of diabetes remission after endoscopic sleeve gastroplasty |
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المؤلفون: | Gala, Khushboo, Ghusn, Wissam, Brunaldi, Vitor, Vargas, Eric J., Storm, Andrew C., Acosta, Andres, Dayyeh, Barham K. Abu |
المصدر: | Therapeutic Advances in Gastrointestinal Endoscopy ; volume 17 ; ISSN 2631-7745 2631-7745 |
بيانات النشر: | SAGE Publications |
سنة النشر: | 2024 |
الوصف: | Background: Endoscopic sleeve gastroplasty (ESG) is a safe and effective obesity treatment. The individualized metabolic score (IMS) is a validated score that uses preoperative variables predicting T2D remission (DR) in bariatric surgery. Objectives: We evaluated the applicability of using the IMS score to predict DR in patients after ESG. Design/Methods: We performed a retrospective review of patients with obesity and T2D who underwent ESG. We calculated DR, IMS score, and severity, and divided patients based on IMS category. Results: The cohort comprised 20 patients: 25% (5) mild, 55% (11) moderate, and 20% (4) severe IMS stages. DR was achieved in 60%, 45.5%, and 0% of patients with mild, moderate, and severe IMS scores ( p = 0.08), respectively. IMS score was significantly associated with DR ( p = 0.03), with the area under the curve of the receiver operating characteristic for predicting DR 0.85. Conclusion: These pilot data demonstrate that the IMS score appears to be useful in predicting DR after ESG. |
نوع الوثيقة: | article in journal/newspaper |
اللغة: | English |
DOI: | 10.1177/26317745241247175 |
الاتاحة: | https://doi.org/10.1177/26317745241247175 https://journals.sagepub.com/doi/pdf/10.1177/26317745241247175 https://journals.sagepub.com/doi/full-xml/10.1177/26317745241247175 |
Rights: | https://creativecommons.org/licenses/by-nc/4.0/ |
رقم الانضمام: | edsbas.320B4081 |
قاعدة البيانات: | BASE |
DOI: | 10.1177/26317745241247175 |
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