The Impact of Environmental Exposures on Sarcoidosis Incidence and Mortality

环境暴露对结节病发病率和死亡率的影响

• 批准号: 10834640
• 负责人: LAURA L KOTH
• 金额: $ 10.16万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-21 至 2026-03-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10834640
• 关键词: Address; Affect; Age; American; Blood; Caring; Cessation of life; Chronic; Chronic Obstructive Pulmonary Disease; Clinical; Code; Comparative Effectiveness Research; Complex; Cox Proportional Hazards Models; Data; Data Set; Databases; Development; Diagnostic; Disease; Dust; Enrollment; Environmental Exposure; Environmental Impact; Ethnic Origin; Etiology; Event; Exposure to; Foundations; General Population; Goals; Healthcare; Incidence; Individual; Inflammation; Integrated Health Care Systems; Ionizing radiation; K-Series Research Career Programs; Knowledge; Lasso; Life Expectancy; Link; Logistic Regressions; Longitudinal cohort; Lung diseases; Lymphocyte Count; Measurable; Metals; Modeling; Natural History; Nested Case-Control Study; Nomograms; Onset of illness; Organ; Outcome; Pathogenesis; Patients; Performance; Phenotype; Play; Poison; Population; Population Attributable Risks; Predictive Factor; Predictive Value; Prevalence; Probability; Procedures; Proxy; Pulmonary Sarcoidosis; Race; Recording of previous events; Regression Analysis; Risk; Risk Factors; Risk Marker; Role; Sarcoidosis; Services; Silicon Dioxide; Subgroup; Survival Rate; Testing; Therapeutic immunosuppression; Time; Tobacco use; Toxic effect; Toxicant exposure; Training; Veterans; Veterans Health Administration; Vietnam; Vitamin D; Water; agent orange; cohort; disease natural history; evidence base; forest; improved; indexing; longitudinal care; longitudinal dataset; machine learning model; molecular phenotype; mortality; pragmatic trial; predictive modeling; rurality; sex; statistics; treatment strategy

PROJECT ABSTRACT Sarcoidosis, a multiorgan disease with an uncertain etiology and variable clinical outcomes, is potentially influenced by environmental exposures, such as organic fuel burning or inorganic dust. The higher incidence and prevalence of sarcoidosis among veterans than in civilians provides a rationale to examine the role of service-related toxic exposures in the natural history of the disease. Such studies are consistent with the goals of the recently approved PACT Act, which recognizes sarcoidosis as a service-related illness and calls for studies of service-related exposures as risk factors for lung disease. The Veteran's Health Administration (VHA), the largest integrated healthcare system in the U.S., obtains comprehensive longitudinal data on millions of veterans, including their unique history of service-related toxic exposures. This wealth of data enables the exploration of these relationships with high precision. My central hypothesis is that service-related toxic exposures affect the incidence of sarcoidosis and all-cause mortality. I propose two specific aims: (1) to determine in a nested case- control study whether service-related exposures increase sarcoidosis incidence risk among veterans and (2) to identify predictors of all-cause mortality among veterans with sarcoidosis using a time-dependent Cox proportional hazards model and two other machine learning models; in two subaims, I will determine whether individual clinical features predict all-cause mortality and whether incorporating the service-related exposures into the models will improve this prediction. This study will reveal the effects of toxic exposures on sarcoidosis incidence, develop predictive models for all-cause mortality, and stratify veterans into risk subgroups—which will improve longitudinal care and guide efforts to identify new sarcoidosis phenotypes. The findings will lay the foundation for a Career Development Award proposal focusing on real-world, evidence-based management strategies for sarcoidosis.

项目摘要 结节病是一种多器官疾病，病因不明，临床结局多变， 受环境暴露的影响，如有机燃料燃烧或无机粉尘。发生率较高 退伍军人中结节病的患病率高于平民，这为研究 在疾病的自然史中与服务有关的毒性暴露。这些研究与目标一致， 最近批准的PACT法案，该法案将结节病视为与服务相关的疾病，并要求进行研究 与服务相关的暴露是肺部疾病的危险因素。退伍军人健康管理局（VHA）， 美国最大的综合医疗保健系统，获得了数百万退伍军人的全面纵向数据， 包括他们独特的服役相关有毒物质暴露史丰富的数据使我们能够探索 这些关系具有很高的精度。我的中心假设是，与服务有关的有毒暴露影响 结节病发病率和全因死亡率。我提出两个具体目标：（1）在嵌套的情况下确定- 对照研究是否与服务相关的暴露会增加退伍军人结节病的发病风险，以及（2） 使用时间依赖性考克斯模型确定退伍军人结节病全因死亡率预测因子 比例风险模型和其他两个机器学习模型;在两个子目标中，我将确定是否 个体临床特征可预测全因死亡率， 将改进这一预测。这项研究将揭示毒性暴露对结节病的影响 发病率，开发全因死亡率的预测模型，并将退伍军人分为风险亚组-这将 改善纵向护理并指导识别新的结节病表型的努力。调查结果将奠定 职业发展奖的基础，专注于现实世界的循证管理 结节病的治疗策略