Background: Bariatric surgery candidates exhibit cognitive impairment on neuropsychological testing and these deficits are associated with reduced post-operative weight loss. However, less is known about the prevalence of cognitive function in older adults that pursue surgery, despite being at higher risk for cognitive dysfunction.
Objective: To examine the prevalence and profile of cognitive impairment using the Montreal Cognitive Assessment (MoCA) in elderly bariatric patients. We hypothesized that increased body mass index (BMI) and higher number of medications would be linked to lower MoCA score, and that men would evidence poorer MoCA scores than women given past work showing that men presenting for bariatric surgery have more medical comorbidities.
Methods: Data was retrospectively extracted from electronic medical records. Patients 65 and older who completed pre-surgical MoCA assessment and bariatric surgery were included in the study (n = 55).
Results: Twenty-two percent of patients scored below cutoff for impairment on the MoCA. MoCA total score was negatively correlated with BMI and number of medications pre-surgery. There was a significant effect for gender, with men outperforming women.
Conclusions: The current findings suggest that cognitive impairment is common in older adults presenting for bariatric surgery. Future studies are needed to determine the most appropriate methods for detecting cognitive dysfunction in this high-risk population.
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http://dx.doi.org/10.1007/s11695-018-3206-z | DOI Listing |
JAMA Netw Open
January 2025
Department of Global Health, School of Public Health, Boston University, Boston, Massachusetts.
Importance: Semaglutide, a novel glucagon-like peptide-1 (GLP-1) receptor agonist medication, was approved for weight management in individuals with obesity in June 2021. There is limited evidence on factors associated with uptake among individuals in this subgroup without diabetes.
Objective: To explore factors associated with semaglutide initiation among a population of commercially insured individuals with obesity but no diagnosed diabetes.
JAMA Pediatr
January 2025
Division of Pediatrics, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden.
Importance: Data regarding the long-term impact of treating childhood obesity on the risk of obesity-related events, including premature mortality, are limited.
Objective: To evaluate the long-term effect of different responses to pediatric obesity treatment on critical health outcomes in young adulthood.
Design, Setting, And Participants: The study included a dynamic prospective cohort of children and adolescents with obesity within The Swedish Childhood Obesity Treatment Register (BORIS) and general population comparators, linked with national registers.
BJS Open
December 2024
Department of Gastroenterology, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, São Paulo, Brazil.
Background: Gastric outlet obstruction due to unresectable tumours is usually managed with a gastrojejunostomy. Unfortunately, the unsatisfactory outcomes of this procedure have led to the search for alternatives, including gastric partitioning.
Methods: Monocentric, randomized, parallel, open-label trial that included patients with obstructive, unresectable distal gastric tumours.
Cureus
December 2024
Bariatric Surgery, Phoenix Health, Chester, GBR.
Introduction Bariatric surgery is increasingly employed to address the global burden of morbid obesity, with Roux-en-Y gastric bypass (RYGB) representing the predominant procedure. However, some patients, particularly those with extreme obesity (BMI >50 kg/m²), may experience unsatisfactory weight-related outcomes following RYGB. While biliopancreatic diversion with duodenal switch (BPD-DS) offers superior weight reduction for this population, its complexity and associated risks limit its widespread use.
View Article and Find Full Text PDFJ Diabetes Metab Disord
June 2025
Center for Global Health Research, Saveetha Institute of Medical and Technical Sciences, Saveetha Medical College and Hospitals, Saveetha University, Chennai, India.
Objectives: Liver fibrosis resulting from nonalcoholic fatty liver disease (NAFLD) and metabolic disorders is highly prevalent in patients with severe obesity and poses a significant health challenge. However, there is a lack of data on the effectiveness of noninvasive factors in predicting liver fibrosis. Therefore, this study aimed to assess the relationship between these factors and liver fibrosis through a machine learning approach.
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