NYU DiCAYA Coordinating Center (COC)

糖尿病是儿童和青壮年最常见的慢性疾病之一，需要终生 治疗、管理和护理。更好地了解这些人群中糖尿病的负担可以 改进医疗保健规划并告知预防策略。以前的研究已经得出了有价值的结论 关于儿童、青少年和年轻人中糖尿病发病率和流行率的信息；然而， 需要持续、准确和及时的监测，以监测趋势和预测未来需求。作为纽约大学 协调中心(NYU CoC)对于本合作协议，我们将提供基础设施和专业知识 指导协调和标准化监测措施的制定和验证，并制定 对儿童、青少年和青少年的糖尿病趋势提供无偏见估计的分析方法 成年人。具体地说，纽约大学COC的目标是：1)开发和维护中央数据存储库，并提供 安全传输和管理数据的基础设施；2)开发和维护一个学习网站 在研究调查人员和公众之间输入数据和传播信息；3)提供所需的 对临床工作人员进行培训，促进他们与研究材料、文件和数据收集的互动； 4)在制定、实施和评估监测网络方面提供专业知识和领导 为基于人口的估计设计的系统；5)提供统计、流行病学和分析方面的专业知识 并支持研究的各个方面；以及6)支持及时传播研究结果。纽约大学COC 领导力拥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)的监测系统方面具有特定的专业知识 健全的流行病学和研究设计原则，以确保完整性、适当的代表性和 结果的概括性。纽约大学COC还将提供强大的专业知识来分析和集成来自 具有电子健康记录数据的复杂调查和行政数据库，以产生对流行率的无偏见估计， 1型和2型糖尿病的发病率和趋势。最后，该团队展示了在高级 偏差校正的统计方法以及将地理信息系统与新进展相结合 用于识别和表征驱动观察到的邻域级别特征的小区域估计 糖尿病发病率和糖尿病相关并发症之间的差异。有了这些技能的结合，纽约大学 COC准备提供一个无与伦比的青少年糖尿病监测系统，该系统提供 随着时间的推移，准确、代表性、及时和稳定的数据可帮助确定趋势。

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.