High Resolution Electrogastrography (HR-EGG) Assessment in Medically Refractory Gastroparesis
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 入组人数
- 40
- 试验地点
- 2
- 主要终点
- Assess the presence of gastric dysarrythmias in lung transplantation population compared to alternative etiologies of gastroparesis
研究概览
简要总结
The goal of this observational study is to utilize a novel high resolution electrogastrography device to gauge if identification of gastric dysarrythmias can reliably identify patients that will respond to or will require definitive pyloric interventions such as a G-POEM procedure in patients with medically refractory gastroparesis
Aims:
- Assess for the presence of gastric dysarrythmias in lung transplantation population as compared to alternative etiologies of gastroparesis
- Assess if presence or absence of gastric dysarrythmias is predictive of response or need of Gastric -per-oral endoscopic myotomy
- Assess alterations in gastric dysarrthmias following pyloric interventions including G-POEM.
Patients will undergo two surface body surface gastric mapping via the HR-EGG before and after undergoing a gastric per oral endoscopic myotomy as standard clinical care for the treatment of medically refractory gastroparesis
详细描述
Gastroparesis is a chronic digestive disorder defined by the symptoms of nausea, vomiting, bloating, and abdominal pain in the setting of objectively delayed gastric emptying without mechanical gastric outlet obstruction. Gastroparesis is frequently identified after lung transplantation with incidence rates as high as 44%. Gastroparesis after lung transplantation is of significant concern as complications directly related to gastroparesis, specifically gastroesophageal reflux and aspiration, have been linked to the development of bronchiolitis obliterans syndrome, the primary cause of graft failure and the main cause of late morbidity and mortality following lung transplantation. Effective long-term therapy for medically refractory post-lung transplant gastroparesis represents a significant therapeutic challenge. Current therapies (such as botulinum toxin injection or surgical pyloromyotomy/bypass) are either limited by inconsistent efficacy or by their invasiveness. However, recent advances in endoscopic tunneling techniques have led to the development of gastric per-oral endoscopic myotomy (G-POEM). Initial reports of this technique for treatment of post-lung transplant gastroparesis are encouraging, with excellent preliminary safety and efficacy data. However, currently there are no clinical, endoscopic, or radiographic parameters that reliably predict which patients will respond to G-POEM. This is likely secondary to the multifactorial pathophysiology of gastroparesis. Secondary to this there is an unmet need to develop a widely deployable screening tool that is i) non-invasive, ii) able to reliably divide gastroparesis into pathophysiologic subgroups and iii) be able to guide effective treatments.
In a similar fashion to that of the brain and heart, waves generated at the stomach's surface propagate to the skin via volume conduction. These voltages can be measured with cutaneous electrodes, via gastric electrophysiology (EGG) noninvasively. However, the EGG has not encountered widespread clinical adoption as the ability to both reliably and consistently differentiate gastrocutaneous spatial dysrhythmias has not been possible. However, a novel 'high-resolution EGG' (HR-EGG), a multi-electrode array of 25 or more electrodes, has been shown to capture slow waves with high spatial resolution and extract meaningful spatial (as opposed to spectral) features, including the instantaneous slow wave direction at any given point in space. This coupled with novel deep convolutional neural network (CNN) frameworks and artifact rejection methods, have been able to reliably capture gastric myoelectricspatial abnormalities that correlate with symptom incidence and severity in gastroparesis patients.
Currently, a new generation of high-resolution electrogastrograms recording technology with 64-channel electrode array is being developed by Alimetry Limited that is able to provide body surface gastric mapping (BSGM). This BSGM is able to provide a more complete understanding of the origin and propagation of human gastric slow-wave activity non-invasively, such as frequency and pattern, in high spatiotemporal detail. The system also includes an App for tracking patient-reported symptoms throughout the test.
Our goal is to utilize this proprietary device to gauge if identification of gastric dysarrythmias can reliably identify patients that will respond to or will require definitive pyloric interventions such as a G-POEM procedure.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 —(Adult, Older Adult)
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Adult patients (age >17 years old) with medically refractory gastroparesis
排除标准
- •Females who are pregnant or lactating (self-reported)
- •History of skin allergies to skin adhesives or hydrogels
- •History of extreme sensitivity to cosmetics or lotions
- •Fragile skin vulnerable to skin tears
- •Damaged epigastric skin (open wounds, rash, inflammation)
- •Patients unable to remain in a relaxed reclined position for the test duration
- •BMI > 35 obtained via chart review
结局指标
主要结局
Assess the presence of gastric dysarrythmias in lung transplantation population compared to alternative etiologies of gastroparesis
时间窗: 2 years
Investigators will categorize patients into sub- groups based on HR-EGG phenotypes:, such as Low GA-RI, High Frequency, Low Frequency, High Amplitude, Low Amplitude, Continuous Symptoms, Sensorimotor Symptoms, Mixed Symptoms and Normal on Day.
次要结局
- Assess alterations in gastric dysarrythmias following pyloric interventions including G-POEM(2 years)
- Assess if presence or absence of gastric dysarrythmias is predictive of response or need of Gastric -per-oral endoscopic myotomy(2 years)
- Sub-type the specific bioelectrical abnormalities to assess which patterns are associated with symptoms and abnormal emptying across all subjects(2 years)
研究者
Alexander Podboy, MD
Assistant Professor, Department of Medicine, Gastroenterology and Hepatology
University of Virginia
