Publications by authors named "G P Mannaerts"
Purpose: The optimal bowel limb lengths for laparoscopic Roux-en-Y gastric bypass (LRYGB) to maximize weight loss while minimizing nutritional deficiencies in severe obesity treatment remain a topic of debate. The multi-center Dutch Common Channel Trial (DUCATI) aims to compare the outcomes of a very long Roux Limb Roux-en-Y gastric bypass (VLRL-LRYGB) with a standard Roux-en-Y gastric bypass (S-LRYGB).
Methods: A total of 444 patients were randomly assigned in a 1:1, double-blind manner to undergo either VLRL-RYGB or S-LRYGB.
Race, Ethnicity, and Geography as Determinants of Excessive Weight and Low Physical Activity in Pediatric Population: Protocol for Systematic Review and Meta-Analysis.
Healthcare (Basel)
September 2024
The rationale for the current study is the sparsity of data on the combined effect of the environmental and individual risks of obesity and sedentary lifestyle in children of different races/ethnicities from different regions. An effective weight management strategy is hard to design due to insufficient evidence. This work was initiated to study race, ethnicity, and geography as determinants of excessive weight and low physical activity in the pediatric population.
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- Sleeve gastrectomy is a common weight loss surgery, but its long-term effectiveness compared to Roux-en-Y gastric bypass (RYGB) is unclear, motivating a study to compare their outcomes over five years.
- In a trial involving 628 patients, those receiving RYGB lost more excess BMI (67.1%) compared to sleeve gastrectomy (58.8%), although both procedures showed significant weight loss and improvement in obesity-related health issues.
- Patients who underwent RYGB also experienced greater improvement in certain conditions like dyslipidaemia, while the overall health benefits were notable in both surgical groups after the five years of follow-up.
Background: Hypoxia is a potentially life-threatening condition that can be seen in pneumonia patients.
Objective: We aimed to develop and test an automatic assessment of lung impairment in COVID-19 associated pneumonia with machine learning regression models that predict markers of respiratory and cardiovascular functioning from radiograms and lung CT.
Materials And Methods: We enrolled a total of 605 COVID-19 cases admitted to Al Ain Hospital from 24 February to 1 July 2020 into the study.