NYU DiCAYA Coordinating Center (COC)

糖尿病是儿童和青年期最常见的慢性疾病之一，需要终身治疗。 治疗、管理和护理。更好地了解这些人群的糖尿病负担， 改善保健规划和宣传预防战略。以前的研究已经产生了有价值的 关于儿童、青少年和年轻人糖尿病发病率和患病率的信息;然而， 需要不断进行准确和及时的监测，以监测趋势和预测未来的需求。作为纽约大学 协调中心（纽约大学CoC）的合作协议，我们将提供基础设施和专业知识 指导制定和验证统一和标准化的监测措施， 提供儿童、青少年和年轻人糖尿病趋势无偏估计的分析方法 成年人了具体来说，纽约大学CoC的目标是：1）开发和维护一个中央数据库，并提供 安全传输和管理数据的基础设施; 2）开发和维护研究网站， 在研究者和公众中进行数据录入和信息传播; 3）提供所需的 培训临床工作人员，并促进他们与研究材料、文件和数据收集的互动; 4)在开发、实施和评估监测网络方面提供专业知识和领导力 为基于人口的估计而设计的系统; 5）提供统计，流行病学和分析专业知识 支持研究的各个方面; 6）支持研究结果的及时传播。纽约大学CoC 领导层具有领导多中心研究和数据协调中心的丰富经验，以及 在设计基于电子健康记录（EHR）的监测系统方面的专业知识， 合理的流行病学和研究设计原则，以确保完整性、适当的代表性， 结果的普遍性。纽约大学CoC还将在分析和整合数据方面提供强大的专业知识， 复杂的调查和行政数据库与电子健康记录数据，以产生无偏估计的流行， 2型糖尿病的发病率和趋势。最后，该团队展示了先进的专业知识， 统计方法的偏差校正和结合地理信息系统的新进展， 小区域估计，以识别和表征驱动观察到的邻域级特征 糖尿病发病率和糖尿病相关并发症的差异。有了这些技能，纽约大学 CoC准备提供一个无与伦比的系统来监测青少年和年轻人的糖尿病，提供 准确、有代表性、及时和稳定的数据，以帮助确定趋势。

Diabetes is one of the most common chronic diseases in childhood and young adulthood and requires lifelong treatment, management, and care. Better understanding of the burden of diabetes in these populations can improve healthcare planning and inform prevention strategies. Previous studies have yielded valuable information on the incidence and prevalence of diabetes in children, adolescents, and young adults; however, ongoing accurate and timely surveillance is needed to monitor trends and anticipate future needs. As the NYU Coordinating Center (NYU CoC) for this Cooperative Agreement, we will provide the infrastructure and expertise to guide development and validation of harmonized and standardized surveillance measures and develop analytical methods to provide unbiased estimates of diabetes trends among children, adolescents, and young adults. Specifically, the NYU CoC aims to: 1) develop and maintain a central data repository and provide the infrastructure for secure transmission and management of data; 2) develop and maintain a study website for data entry and dissemination of information among study investigators and to the public; 3) provide required training for clinical staff and facilitate their interaction with study materials, documentation, and data collection; 4) provide expertise and leadership in developing, implementing, and evaluating a network of surveillance systems designed for population-based estimation; 5) provide statistical, epidemiologic, and analytic expertise and support for all aspects of the study; and 6) support the timely dissemination of study results. The NYU CoC leadership has significant experience leading multi-center studies and data coordinating centers, as well as specific expertise in designing surveillance systems based on electronic health records (EHRs) that integrate sound epidemiologic and study design principles to ensure completeness, appropriate representativeness, and generalizability of results. The NYU CoC will also provide strong expertise in analyzing and integrating data from complex surveys and administrative databases with EHR data to generate unbiased estimates of prevalence, incidence, and trends in type 1 and type 2 diabetes. Finally, the team has demonstrated expertise in advanced statistical methods for bias correction and in combining geographic information systems with new advances in small-area estimation to identify and characterize neighborhood-level characteristics that drive observed disparities in diabetes incidence and diabetes-related complications. With this combination of skills, the NYU CoC is poised to deliver an unrivaled system for surveillance of diabetes in youth and young adults that provides accurate, representative, timely, and stable data over time to help determine trends.