Does etiology of gastroparesis determine clinical outcomes in gastric electrical stimulation treatment of gastroparesis?
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and Other Interventional Techniques
2019 SAGES ORAL
Does etiology of gastroparesis determine clinical outcomes in gastric electrical stimulation treatment of gastroparesis? Doris Kim1 · Ryan Gedney1 · Shelby Allen1 · Haley Zlomke1 · Elizabeth Winter1 · John Craver1 · A. D. Pinnola2 · Will Lancaster1 · David Adams1 Received: 8 June 2019 / Accepted: 19 August 2020 © Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract Background Gastroparesis is a condition characterized by impaired gastric motility that may result in weight loss and malnutrition. There have been promising studies demonstrating improvement in symptoms after gastric electrical stimulation (GES) implantation for medically refractory gastroparetics [1–10]. With the heterogeneous population of gastroparetics, the aim of this study was to assess if etiology correlated with response to GES. Methods A retrospective review and analysis was performed on patients who underwent GES over a 10-year period at a single institution. Each patient was stratified into an etiological subset (diabetes, idiopathic, post-surgical). Patients were compared by demographics, medical and surgical history, subsequent GES explantation vs continued therapy, need for supplemental nutrition postoperatively, weight gain, weight loss or weight maintenance, and readmission rates. Results 183 patients underwent GES from 2005 to 2015. 50% were diabetic (n = 91), 42% idiopathic (n = 76), and 9% postsurgical (n = 16). Diabetic patients (DM) demonstrated the highest likelihood of continued therapy compared to post-surgical (PS) and idiopathic patients (ID) (54.7% vs 9.5% vs 35.8%, respectively, p 4 kg, compared to PS and IS patients (67.6% vs 8.1% vs. 24.3%, respectively, p 4 kg), weight loss (> 4 kg) or weight maintenance within the following 3–6 months after surgery. Statistical analysis was done for all outcome measures described above using a Chi-Squared Test, given the categorical nature of our variables. A Two-Tailed T-Test was also performed to compare average weight gain or loss of each subset of patients, given that those were defined as numerical variables. A significance value of p
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