Patient profiling for success after weight loss surgery (GO Bypass study): An interdisciplinary study protocol
Patient profiling for success after weight loss surgery (GO Bypass study): An interdisciplinary study protocol
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DOI：
10.1016/j.conctc.2018.02.002
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发表时间：
2018-06-01
影响因子：
1.5
通讯作者：
Sjodin, Anders
中科院分区：
文献类型：
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作者：
Christensen, Bodil Just;Schmidt, Julie Berg;Sjodin, Anders
尽管进行了大量的研究工作，但提出解释胃绕道手术（RYGB）和袖状胃切除术（SL）后体重减轻的机制并不能解释这些治疗后出现的巨大个体差异。肥胖的发生和发展涉及一系列复杂的因素，这些因素也可能有助于理解为什么治疗的成功率在个体之间差异很大。这就需要解释模型不仅考虑生物决定因素，还考虑行为、情感和背景因素。在这项前瞻性研究中，我们从丹麦 Koge 医院的 RYGB 和 SL 等待名单中招募了 47 名女性和 8 名男性，年龄在 25-56 岁，BMI 为 45.8 +/- 7.1 kg/m(2)。手术前以及手术后 1.5、6 和 18 个月，我们评估了多个领域的各种终点。终点是根据以前的研究选择的，包括： 生理测量：人体测量、生命体征、生化测量和食欲激素、遗传学、肠道微生物群、食欲感觉、食物和味觉偏好、神经敏感性、感觉知觉和运动行为；心理测量：一般精神症状、抑郁、饮食失调、多动症、人格障碍、冲动、情绪调节、依恋模式、一般自我效能、述情障碍、体重偏差内化、成瘾、生活质量和创伤；社会学和人类学测量：社会人口统计测量、饮食行为、体重控制实践和心理社会因素。以前从未尝试过将这些来自不同科学学科的许多终点和方法结合起来并创建多维预测模型。主要终点数据预计将于 2018 年发布。
Despite substantial research efforts, the mechanisms proposed to explain weight loss after gastric bypass (RYGB) and sleeve gastrectomy (SL) do not explain the large individual variation seen after these treatments. A complex set of factors are involved in the onset and development of obesity and these may also be relevant for the understanding of why success with treatments vary considerably between individuals. This calls for explanatory models that take into account not only biological determinants but also behavioral, affective and contextual factors. In this prospective study, we recruited 47 women and 8 men, aged 25-56 years old, with a BMI of 45.8 +/- 7.1 kg/m(2) from the waiting list for RYGB and SL at Koge hospital, Denmark. Pre-surgery and 1.5, 6 and 18 months after surgery we assessed various endpoints spanning multiple domains. Endpoints were selected on basis of previous studies and include: physiological measures: anthropometrics, vital signs, biochemical measures and appetite hormones, genetics, gut microbiota, appetite sensation, food and taste preferences, neural sensitivity, sensory perception and movement behaviors; psychological measures: general psychiatric symptomload, depression, eating disorders, ADHD, personality disorder, impulsivity, emotion regulation, attachment pattern, general self- efficacy, alexithymia, internalization of weight bias, addiction, quality of life and trauma; and sociological and anthropological measures: sociodemographic measures, eating behavior, weight control practices and psycho-social factors.Joining these many endpoints and methodologies from different scientific disciplines and creating a multidimensional predictive model has not previously been attempted. Data on the primary endpoint are expected to be published in 2018.