جستجوی مقالات مرتبط با کلیدواژه « Mini-gastric Bypass » در نشریات گروه « پزشکی »

Various weight loss surgeries exist, with no absolute superiority; each has pros and cons. Due to rising bariatric surgeries globally, it's vital to investigate comparisons between two-mini gastric bypass and Roux-en-Y gastric bypass (RYGB), especially regarding their impact on liver function.

The purpose of this study was to "draw comparisons between the effects of mini gastric bypass and laparoscopic Roux-en-Y gastric bypass on liver function at 6 months among patients with morbid obesity."

This cross-sectional study included 90 bariatric surgery candidates (Body Mass Index (BMI) 35 - 50) from 2018 - 2021. Forty-five had laparoscopic mini gastric bypass surgery, while 45 had Roux-en-Y gastric bypass. Demographic, anthropometric, lab, and sonographic tests were conducted at baseline, 3-, and 6-months post-surgery. Data was analyzed using SPSS.

In a study of 90 patients (75.6% female, mean age 38.6 ± 10.4 years), both surgeries (Mini gastric bypass (MGB) and RYGB) effectively reduced body weight, BMI, and waist circumference at 3- and 6-months post-surgery. However, MGB showed significantly higher BMI and weight loss compared to RYGB (P = 0.003). In 90 patients, both surgeries reduced weight and BMI. However, MGB showed better BMI/weight loss. LFTs (ALT, AST, ALP) remained stable after MGB but worsened at 3 months after RYGB before recovering by 6 months. Mini gastric bypass also showed better GGT improvement. Both procedures improved fatty liver grading, FBS, and HbA1C levels equally. No significant differences were observed in blood pressure, platelet count, hemoglobin, or MCV. Ferritin levels increased in both groups but were higher in RYGB. CRP was higher in RYGB at 3 months.

Roux-en-Y gastric bypass temporarily exacerbated liver enzymes and inflammation, but MGB resulted with more weight reduction. In comparison to RYGB, MGB improved LFTs more consistently.

According to the IFSO worldwide survey report in 2014, 579517 bariatric operations have been performed in a year, of which nearly half the procedures were SG followed by RYGB. This procedure is a proven successful treatment of patients with morbid obesity which induces considerable weight loss and improvement of type 2 diabetes mellitus, insulin resistance, inflammation, and vascular function. In the present study, we aimed to build a machine based on a decision tree to mimics the surgeonchr(chr(chr('39')39chr('39'))39chr(chr('39')39chr('39')))s pathway to select the type of bariatric surgery for patients.

We used patient’s data from the National Bariatric Surgery registry between March 2009 and October 2020. A decision tree was constructed to predict the type of surgery. The validation of the decision tree confirmed using 4-folds cross-validation.

We rich a decision tree with a depth of 5 that is able to classify 77% of patients into correct surgery groups. In addition, using this model we are able to predict 99% of bypass cases (Sensitivity) correctly. The waist circumference less than 126 cm and BMI equal to or more than 43 kg/m2, age equal to or greater than 30 years old, and being hypertensive or diabetes are the most important separators.

The effects of all nodes have been studied before and the references confirmed the relations of them and surgery type.