Background: The risk/benefit ratio of sleeve gastrectomy (SG), especially in patients without type 2 diabetes (T2D), is unknown for patients with class 1 obesity.
Objectives: Assessment of operative outcomes of SG in class 1 obesity.
Setting: Private practice.
Methods: Candidates for a primary SG with body mass index 30-35 kg/m after 5 years of unsuccessful dieting were included after informed consent was obtained. Participants who did not complete 3-month follow-up and those who underwent modified SGs were excluded. Data and complications were recorded prospectively. Patients were followed up at 3, 6, and 12 months and yearly thereafter. Definition of presence and remission of T2D and insulin resistance were set according to guidelines. Effects on weight loss parameters were evaluated with Wilcoxon signed-rank test.
Results: Between 2012 and 2020, 143 consecutive SGs were performed in patients with class 1 obesity without conversion, leak, mortality, or a venous event. Two were lost to follow-up. In 141 participants, 2 bleedings and 1 colon perforation occurred (2.1% rate for acute life-threatening events). During a mean follow-up of 25.9 months; 1 case of functional stenosis and 4 cases of de novo symptomatic cholelithiasis clinically became evident in different patients, all requiring reoperation. Therefore a 5.6% rate of major complications were identified at 2 years. The benefit on weight loss was immediate and permanent (P < .001). T2D and insulin resistance were in remission in 100% and 98.1% of participants at 1 year, respectively.
Conclusion: The 5.6% major complication rate reflects a minimum because more de novo symptomatic gallstones and stenosis are yet to occur or overlooked. Additionally, this excludes patients with de novo reflux and malnutrition, dissatisfaction issues, or recidivism. Caution is required to freely operate on patients with class 1 obesity with no co-morbidity. Evidence-based outcome data are lacking to balance the reported risks.
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http://dx.doi.org/10.1016/j.soard.2020.08.014 | DOI Listing |
Sci Rep
December 2024
Department of Statistical Science, Duke University, Durham, 27708-0251, USA.
The article is motivated by an application to the EarlyBird cohort study aiming to explore how anthropometrics and clinical and metabolic processes are associated with obesity and glucose control during childhood. There is interest in inferring the relationship between dynamically changing and high-dimensional metabolites and a longitudinal response. Important aspects of the analysis include the selection of the important set of metabolites and the accommodation of missing data in both response and covariate values.
View Article and Find Full Text PDFJ Clin Neurosci
December 2024
Section of Neurosurgery, Department of Surgery, Aga Khan University, Karachi, Pakistan. Electronic address:
Background: Blood transfusions (BT) are often needed in neurosurgical procedures, especially craniotomies for tumor resections, due to risks of anemia, ischemic brain injury, and hemorrhage. However, BT may increase the risk of perioperative complications. This study aimed to determine the incidence, associated factors, and outcomes of BT in patients undergoing craniotomy for intracranial tumor resection.
View Article and Find Full Text PDFClin Nutr
December 2024
Faculty of Sport and Health Sciences, Gerontology Research Center, University of Jyväskylä, 40014 Jyväskylä, Finland; The Wellbeing Services County of Central Finland, 40620 Jyväskylä, Finland. Electronic address:
Background & Aims: Suboptimal diets increase morbidity and mortality risk. Epigenetic clocks are algorithms that can assess health and lifespan, even at a young age, before clinical manifestations of diseases. We investigated the association between dietary patterns and biological aging in young adult twins.
View Article and Find Full Text PDFSci Rep
December 2024
School of Big Data, Fuzhou University of International Studies and Trade, Fuzhou, 350202, China.
The traditional machine learning methods such as decision tree (DT), random forest (RF), and support vector machine (SVM) have low classification performance. This paper proposes an algorithm for the dry bean dataset and obesity levels dataset that can balance the minority class and the majority class and has a clustering function to improve the traditional machine learning classification accuracy and various performance indicators such as precision, recall, f1-score, and area under curve (AUC) for imbalanced data. The key idea is to use the advantages of borderline-synthetic minority oversampling technique (BLSMOTE) to generate new samples using samples on the boundary of minority class samples to reduce the impact of noise on model building, and the advantages of K-means clustering to divide data into different groups according to similarities or common features.
View Article and Find Full Text PDFJ Cardiovasc Dev Dis
November 2024
Department of Nursing, Recanati School for Community Health Professions, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer Sheva 84105, Israel.
Serum albumin and body mass index (BMI, kg/m) have been associated with outcomes following acute myocardial infarction (AMI). Aiming to assess whether the mortality risk inflicted by hypoalbuminemia (<3.5 g/dL) in this context is influenced by BMI, we conducted a retrospective analysis of AMI survivors hospitalized during 2004-2017.
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