Osteoporosis in Hypercalciuric Kidney Stone Formers

我们研究的目的是通过建立一种算法来确定高尿钙肾结石患者及其家属患骨病的风险，该算法考虑了骨矿物质密度（BMD）、人口统计学特征、饮食史、尿液和血清化学，包括骨转换标志物。该算法将使我们能够确定哪些高钙尿症需要骨质疏松症的临床评价，并将形成疾病管理产品的基础。在创建该算法的过程中，我们将首先确定高钙尿石形成者及其家庭中骨病的患病率，并随着时间的推移对发病率进行一些估计。我们研究的一个长期目标是研究这些家族中骨质疏松症和肾结石的遗传基础。拟议的商业应用：Litholink为肾结石患者提供疾病管理服务。我们希望使用本研究中开发的算法来扩展服务，包括肾结石形成患者及其家属的骨病管理。

The aim of our research is to determine the risk of bone disease in hypercalciuric kidney stone formers and their families by establishing an algorithm that takes into account bone mineral density (BMD), demographic characteristics diet history, and urine and serum chemistries, including markers of bone turnover. The algorithm will allow us to determine which hypercalciurics need clinical evaluation for osteoporosis and will form the basis of a disease management product. In the process of creating this algorithm, we will be the first to determine the prevalence of bone disease in hypercalciuric stone formers and their families and over time make some estimates of incidence rates. A longer- term goal of our research is to study the genetic underpinnings of osteoporosis and nephrolithasis in these families. PROPOSED COMMERCIAL APPLICATIONS: Litholink provides disease management services for kidney stone patients. We hope to use the algorithm developed in this research to expand out services to include bone disease management in kidney stone forming patients and their families.