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

• 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
• 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

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 急性胰腺炎（AP）发作后，近40％的患者患糖尿病。各种研究 评估糖尿病发展的风险因素，但它们显示出不一致的发现，表明 方法论缺陷。本提案由三个特定目标组成，我们将尝试 确定与AP后糖尿病发展有关的生化，放射学和临床因素。目的 1：识别使用大型AP后患者中与1型糖尿病进展相关的自身抗体 人蛋白质组阵列。目的2：研究成像的作用，更具体地定量质地分析 预测AP后1型糖尿病的发展。 AIM 3是建立机器学习模型以预测类型 AP后使用患者相关的危险因素，成像纹理分析和自身抗体涉及的1个糖尿病 在疾病进展中。我们的建议将帮助我们更好地了解AP之后的糖尿病。成功完成 这项研究有可能改善AP的管理。