Novel evidence-accumulation-driven methods for characterizing kidney stone progression

用于表征肾结石进展的新证据积累驱动方法

基本信息

批准号：
10367369
负责人：
Yu-Lun Liu
金额：
$ 73.31万
依托单位：
UT SOUTHWESTERN MEDICAL CENTER
依托单位国家：
美国
项目类别：
财政年份：
2022
资助国家：
美国
起止时间：
2022-03-01 至 2026-12-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10367369
关键词：
Accounting Affect Algorithmic Software Algorithms Characteristics Chronic Kidney Failure Clinical Clinical Research Clinical Trials Collection Competence Computational algorithm Data Data Set Decision Making Disease Disease Progression Electronic Health Record End stage renal failure Enrollment Event Foundations Funding Goals Health Care Costs Hour Hydration status Joints Kidney Calculi Knowledge Lead Link Medical Metabolic Metabolism Methodology Methods Minerals Modeling Morbidity - disease rate National Institute of Diabetes and Digestive and Kidney Diseases Outcome Pain Participant Patients Pennsylvania Pharmaceutical Preparations Physicians Population Prevalence Prevention Prevention strategy Public Health Recording of previous events Records Recurrence Regimen Registries Research Risk Risk Factors Sampling Science Time United States Universities University Hospitals Urinary Calculi Urine Validation Woman Work base clinical decision-making clinical practice clinical research site cohort experience high risk men modifiable risk mortality novel predictive modeling predictive tools prevent response risk prediction risk prediction model risk stratification software development success tool

项目摘要

PROJECT SUMMARY Preventing kidney stone progression remains a serious obstacle in public health, despite advances unravelling the underlying mechanisms of stone formation. Kidney stone disease, often along with excruciating pain, is highly prevalent around the globe, affecting nearly 12% of the world population. In the United States, the estimated lifetime prevalence of kidney stone disease is approximately 10.6% in men and 7.1% in women. Following their initial episode, stone formers are at higher risk for recurrent stone formation, with more than 50% experiencing a recurrence within 10 years, reflecting the inadequacies of current prevention regimens. In addition, the formation of stone disease is strongly associated with long-term complications of chronic kidney disease and end-stage renal disease, along with significant morbidity, mortality as well as burden of health care cost. In response to PA-20-185, the overarching goal of this proposal is to maximize the efficacy of preventive strategies against kidney stone disease progression by developing clinical prediction tools as well as computational algorithms and software. More specifically, we propose novel evidence-accumulation-driven methods (1) to develop patient-level risk prediction models for kidney stone disease progression accounting for subtypes of stone conditions; and (2) to identify modifiable risk factors for stone disease progression by integrating historically existing prediction models into new EHR or registry datasets. We will apply and validate the proposed methods to real-world data, including the UTSW Mineral Metabolism Stone Registry, the PUSH trial conducting by the Urinary Stone Disease Research Network (which is a clinical research network funded by NIDDK), and the Swiss Kidney Stone Cohort. The success of this project will fill the knowledge gap of kidney stone disease progression, and lead to a predictive toolbox to inform clinicians on the risk of kidney stone progression, thereby facilitating timely clinical decision-making and implementation of targeted strategies to prevent or reduce stone disease progression.

项目摘要防止肾结石进展仍然是公共卫生的严重障碍石材形成的基本机制。肾结石疾病通常与痛苦相处，很高全球盛行，影响了近12％的世界人口。在美国，估计肾结石病的终生患病率约为男性10.6％，女性为7.1％。跟随他们初始插曲，石头形成的石头形成的风险较高，超过50％的经历 10年内复发，反映了当前预防方案的不足。另外，石材疾病的形成与慢性肾脏疾病的长期并发症密切相关末期肾脏疾病，以及明显的发病率，死亡率和医疗保健费用负担。为了回应PA-20-185，该提案的总体目标是最大化预防性的功效通过开发临床预测工具以及计算算法和软件。更具体地说，我们提出了新的证据驱动的驱动方法（1）开发肾脏疾病进展的患者级风险预测模型石材条件的亚型；（2）通过将历史上现有的预测模型集成到新的EHR或注册表数据集中。我们将申请并验证现实数据的拟议方法，包括UTSW矿物代谢石注册表，推动由尿石病研究网络进行的试验（这是一个由临床研究网络资助 NIDDK）和瑞士肾脏石头队列。该项目的成功将填补肾结石疾病进展的知识差距，并导致预测性工具箱将肾结石进展的风险告知临床医生，从而促进及时的临床决策和实施有针对性的策略，以防止或减少石材疾病进展。