Gastroesophageal Reflux Disease Symptoms after Laparoscopic Sleeve Gastrectomy: A Retrospective Study.
Wen-Yang WuShih-Chun ChangJun-Te HsuTa-Sen YehKeng-Hao LiuPublished in: Journal of personalized medicine (2022)
(1) Background: Laparoscopic sleeve gastrectomy (LSG) is widely performed in bariatric surgery. However, the prevalence and risk factors of gastroesophageal reflux disease (GERD) symptoms after LSG remain unclear to date. This study aimed to identify risk factors of GERD after LSG. (2) Methods: We conducted a retrospective study at Linkou Chang Gung Memorial Hospital and reviewed 296 patients who underwent LSG from 2016 to 2019. A total of 143 patients who underwent preoperative esophagogastroduodenoscopy and completed the 12-month postoperative follow-up were enrolled. Patients’ demographic data, comorbidities, and postoperative weight loss results were recorded for analysis. The GerdQ questionnaire was used to assess GERD after LSG. (3) Results: There were eight surgical complications (5.6%) among the 143 studied patients (median age, 36 years; 56 (39.2%) men; median body weight 105.5 kg; median body mass index [BMI], 38.5 kg/m2). Twenty-three patients (16.1%) developed de novo GERD symptoms. GERD was significantly associated with older age (p = 0.022) and lower BMI (<35 kg/m2, p = 0.028). In multiple logistic regression analysis, age and BMI were significantly associated with GERD. (4) Conclusions: LSG is a safe and effective weight loss surgery. In our study, it led to 16.1% of de novo GERD symptoms, which were significantly related to older age and lower BMI (<35 kg/m2).
Keyphrases
- end stage renal disease
- body mass index
- ejection fraction
- weight loss
- newly diagnosed
- chronic kidney disease
- peritoneal dialysis
- risk factors
- physical activity
- prognostic factors
- emergency department
- healthcare
- type diabetes
- machine learning
- body weight
- patient reported outcomes
- patient reported
- weight gain
- depressive symptoms
- minimally invasive
- middle aged
- gastric bypass
- electronic health record
- deep learning
- percutaneous coronary intervention
- glycemic control