Clinical, Radiologic and Biochemical Factors Related to Diabetes Development after Acute Pancreatitis

急性胰腺炎后与糖尿病发展相关的临床、放射学和生化因素

基本信息

批准号：
10264897
负责人：
ZHAOLI SUN
金额：
$ 28.66万
依托单位：
JOHNS HOPKINS UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-09-16 至 2025-07-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10264897
关键词：
Acute Acute Necrotizing Pancreatitis Address Antibodies Autoantibodies Autoantigens Autoimmune Diabetes Autoimmune Diseases Autoimmune Responses Autologous Transplantation Beta Cell Biochemical Biological Markers Biopsy Specimen Clinical Clinical Data Clinical/Radiologic Collection Communicable Diseases Development Diabetes Mellitus Diabetes autoantibodies Disease Disease Progression Fatty acid glycerol esters Functional disorder Future Glucagon Goals Hospitals Human Hypoglycemia Image Impairment Incidence Individual Inflammatory Insulin Insulin-Dependent Diabetes Mellitus Lead Life Machine Learning Malignant Neoplasms Mediating Meta-Analysis Methodology Modeling Morbidity - disease rate Organ Organ failure Pancreas Pancreatic Diseases Pathology Patients Prediabetes syndrome Process Proteome Proteomics Public Health Radiology Specialty Recording of previous events Recovery Recurrence Research Research Design Research Personnel Resolution Resources Risk Factors Role Serology Serum Systemic Inflammatory Response Syndrome Techniques Technology Texture Time Total Pancreatectomy Visceral X-Ray Computed Tomography acute pancreatitis base biomarker identification clinical center clinical risk experience follow-up impaired glucose tolerance improved islet macrovascular disease model development mortality novel nutrient absorption predictive modeling radiological imaging radiomics subcutaneous systematic review

项目摘要

Abstract Nearly 40% of patients develop diabetes after an initial episode of acute pancreatitis (AP). Various studies have evaluated risk factors for the development of diabetes but they have shown inconsistent findings, suggesting methodologic shortcomings. The present proposal consists of three specific aims where we will attempt to determine the biochemical, radiologic and clinical factors related to the development of diabetes after AP. Aim 1: To identify autoantibodies associated with the progression of type 1 diabetes in patients after AP using a large human proteome array. Aim 2: To study the role of imaging, more specifically quantitative textural analysis to predict the development of type 1 diabetes after AP. Aim 3 is to build a machine learning model to predict type 1 diabetes after AP using patient-related risk factors, textural analysis on imaging and autoantibodies involved in disease progression. Our proposal will help us better understand diabetes after AP. Successful completion of this study has the potential to improve management for AP.

抽象的近 40% 的患者在急性胰腺炎 (AP) 初次发作后发展为糖尿病。各种研究已评估了糖尿病发生的危险因素，但结果不一致，表明方法论上的缺陷。本提案包含三个具体目标，我们将努力实现这些目标确定与 AP 后糖尿病发生相关的生化、放射学和临床因素。目的 1：确定与 AP 使用大剂量治疗后患者 1 型糖尿病进展相关的自身抗体人类蛋白质组阵列。目标 2：研究成像的作用，更具体地说是定量纹理分析预测 AP 后 1 型糖尿病的发展。目标 3 是建立一个机器学习模型来预测类型 1 AP后糖尿病使用患者相关危险因素、影像学和自身抗体的结构分析在疾病进展中。我们的建议将帮助我们更好地了解 AP 后的糖尿病。顺利完成这项研究有可能改善 AP 的管理。