Short-term cardiovascular events after bariatric surgery in patients with metabolic syndrome.
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2024-01
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Abstract
Background
Patients with metabolic syndrome (MetS) are at increased risk of developing cardiovascular disease along with other adverse events after bariatric surgery.Objectives
The incidence of short-term major adverse cardiovascular events (MACE) in patients with MetS undergoing bariatric surgery is not well characterized.Setting
Accredited bariatric surgery centers in the United States and Canada.Methods
A total of 760,076 patients aged ≥18 years with body mass index ≥35 kg/m2 who underwent primary bariatric surgery between 2015 and 2018 were included. Patients with both diabetes and hypertension were described as the MetS cohort. Patient characteristics, operative technique, and 30-day outcomes were compared. The primary outcome was incidence of MACE, a composite of myocardial infarction, stroke, and all-cause mortality. Unadjusted and multivariable logistic regression analyses were performed and included an interaction between MetS and hyperlipidemia (HLD).Results
Of the 577,882 patients included, 111,128 (19.2%) exhibited MetS. Patients with MetS more frequently experienced MACE compared with patients without MetS (.3% versus .1%; P < .001). The odds of MACE were greater for patients with MetS versus Non-MetS (odds ratio [OR] 2.87; 95% CI, 2.49-3.32) in the unadjusted analysis. MetS without HLD, MetS with HLD, and Non-MetS with HLD are significantly associated with MACE when compared with those with non-MetS without HLD.Conclusions
Patients with MetS have an increased frequency of cardiac events following bariatric surgery. Future studies should determine if optimization of 1 or more components of MetS or other related co-morbidities reduces the cardiovascular risk for patients.Type
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Chumakova-Orin, Maryna, Jennifer L Ingram, Loretta G Que, Neha Pagidipati, Alexander Gordee, Maragatha Kuchibhatla and Keri A Seymour (2024). Short-term cardiovascular events after bariatric surgery in patients with metabolic syndrome. Surgery for obesity and related diseases : official journal of the American Society for Bariatric Surgery, 20(1). pp. 18–28. 10.1016/j.soard.2023.07.009 Retrieved from https://hdl.handle.net/10161/32527.
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Scholars@Duke
Jennifer Leigh Ingram
Dr. Ingram's research interests focus on the study of airway remodeling in human asthma. Proliferation, migration, and invasion of airway fibroblasts are key features of airway remodeling that contribute to diminished lung function over time. Dr. Ingram uses molecular biology approaches to define the effects of interleukin-13 (IL-13), a cytokine abundantly produced in the asthmatic airway, in the human airway fibroblast. She has identified important regulatory functions of several proteins prevalent in asthma that control fibroblast growth and pro-fibrotic growth factor production in response to IL-13. By understanding these pathways and their role in human asthma and the chronic effects of airway remodeling, novel treatment strategies may be developed.
Loretta Georgina Que
My research interests focus on studying the role of nitric oxide and related enzymes in the pathogenesis of lung disease, specifically that caused by nitrosative/oxidative stress. Proposed studies are performed in cell culture and applied to animal models of disease, then examined in human disease where relevant. It is our hope that by better understanding the role of NO and reactive nitrogen species in mediating inflammation, and regulating cell signaling, that we will not only help to unravel the basic mechanisms of NO related lung disease, but also provide a rationale for targeted therapeutic use of NO.
Key words: nitrosative defense, lung injury, nitric oxide
Neha Pagidipati
Neha J. Pagidipati, MD, MPH, is an Assistant Professor of Medicine and cardiovascular disease prevention specialist. Since 2011, she has conducted research on cardiometabolic disease prevention, lifestyle modification and weight management. She is currently an NIH K12 scholar in Implementation and Dissemination Science.
Dr. Pagidipati is building the Duke Cardiometabolic Disease Prevention Program, which focuses on behavior change and risk factor management in patients with high risk of cardiovascular and metabolic diseases such as diabetes and obesity. The program’s multi-disciplinary team of cardiologists, endocrinologists, nephrologists, and hepatologists will work together to provide coordinated, team-based care to the most high-risk and complex patients in the health system.
Dr. Pagidipati’s research grants include the COORDINATE-Diabetes Trial, to improve the quality of care for patients with diabetes and cardiovascular disease across the U.S., and QuBBD: Deep Poisson Methods for Biomedical Time-to-Event and Longitudinal Data. She served as a study clinician on the large, longitudinal EXSCEL (Exenatide Study of Cardiovascular Event Lowering) trial. She is currently conducting a nation-wide study of obesity management using real-world data sources, and is a site investigator for the Baseline Health Study in collaboration with Verily Life Sciences. In addition, she is leading a large study within the Duke Health System to study heterogeneity within cardiovascular disease risk and response to weight loss interventions among individuals with obesity.
Dr. Pagidipati graduated from Harvard College and Harvard Medical School. She completed her internal medicine residency at Brigham and Women’s Hospital. During a two-year research fellowship in Global Women’s Health at the Brigham, she obtained an MPH from the Harvard School of Public Health and studied cardiovascular disease prevention in women in India. Dr. Pagidipati completed a four-year cardiology fellowship at the Duke University School of Medicine and served as Chief Research Fellow at the Duke Clinical Research Institute. In 2017, she became a faculty member of the Duke University School of Medicine School.
Maragatha Kuchibhatla
Statistical research methodology, analysis of repeated measurements, latent growth curve models, latent class growth models, classification and regression trees,
designing clinical trials, designing clinical trials in psychiatry -- both treatment and non-treatment
trials in various comorbid populations.
Keri Anne Seymour
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