Nephrotic Syndrome, Cardiovascular Disease Risk and the Effect of Statin Therapy

肾病综合征、心血管疾病风险和他汀类药物治疗的效果

基本信息

项目摘要

DESCRIPTION (provided by applicant): Nephrotic syndrome is a common presentation of multiple disease entities, including rare primary glomerular disease such as minimal change disease, focal segmental glomeruloscerosis and membranous nephropathy. The syndrome is characterized by significant proteinuria, low serum albumin, edema and hyperlipidemia. Cardiovascular disease is the major morbidity for patients with chronic kidney disease. Patients with nephrotic syndrome are presumed to have an increased risk of cardiovascular disease due to the proteinuria and hyperlipidemia associated with the syndrome, but the magnitude of risk, the impact of specific risk factors, and effect of therapy has not been established in this subset of kidney disease patients. We propose a retrospective cohort study of patients with nephrotic syndrome due to primary glomerular diseases to determine the risk of cardiovascular disease, to identify risk factors and to determine the effect of statin (HMG-CoA reducatse inhibitors) therapy. AIM 1: To determine the risk of cardiovascular events in nephrotic syndrome patients compared to patients without nephrotic syndrome. AIM 2: To identify risk factors for cardiovascular events within nephrotic syndrome patients. AIM 3: To determine if the use of HMG-CoA reductase inhibitor (statin) therapy is associated with decreased risk of cardiovascular events in nephrotic syndrome, and to determine if this association differs compared to patients without nephrotic syndrome. We will use the health improvement network (THIN), a U.K. primary care database composed of anonymous data collected from the general practitioners of more than 9 million patients. It contains diagnostic codes, prescription information and laboratory data and is uniquely suited for population-based studies of rare diseases. We will perform a survival analysis, using a Cox proportional hazards model, to determine the hazard ratio for cardiovascular events, and then to identify risk factors and to determine effect of statin therapy on that hazard. The proposed project will use the skills that th applicant gained working towards a Masters of Science in Clinical Epidemiology, specifically fundamentals of epidemiology, biostatistical analysis and study design. This applicant's long-term objectives for this project are to manage and analyze the data, prepare manuscripts for publication, inform future studies and build upon the data for a future application to a K grant application.
描述(由申请人提供):肾病综合征是多种疾病实体的常见表现,包括罕见的原发性肾小球疾病,如微小改变病、局灶节段性肾小球硬化和膜性肾病。该综合征的特点是显著的蛋白尿、低血清白蛋白、水肿和高脂血症。心血管疾病是慢性肾病患者的主要发病率。由于与肾病综合征相关的蛋白尿和高脂血症,推测肾病综合征患者患心血管疾病的风险增加,但在这类肾病患者中,风险的大小、特定危险因素的影响以及治疗的效果尚未确定。我们建议对原发性肾小球疾病肾病综合征患者进行回顾性队列研究,以确定心血管疾病的风险,确定危险因素,并确定他汀类药物(HMG-CoA还原抑制剂)治疗的效果。目的1:确定与无肾病综合征患者相比,肾病综合征患者发生心血管事件的风险。目的2:确定肾病综合征患者心血管事件的危险因素。目的3:确定使用HMG-CoA还原酶抑制剂(他汀类药物)治疗是否与肾病综合征心血管事件风险降低相关,并确定与无肾病综合征患者相比,这种关联是否不同。我们将使用健康改善网络(THIN),这是一个英国初级保健数据库,由900多万患者的全科医生收集的匿名数据组成。它包含诊断代码、处方信息和实验室数据,特别适合于基于人群的罕见疾病研究。我们将使用Cox比例风险模型进行生存分析,以确定心血管事件的风险比,然后确定风险因素并确定他汀类药物治疗对该风险的影响。该项目将运用申请人在临床流行病学理学硕士课程中获得的技能,特别是流行病学基础知识、生物统计分析和研究设计。申请人对该项目的长期目标是管理和分析数据,准备出版稿件,为未来的研究提供信息,并在数据的基础上为未来的K基金申请提供信息。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Laura H Mariani其他文献

Reaping the rewards of mechanistic discovery in glomerular disease.
获得肾小球疾病机制发现的回报。
  • DOI:
    10.1038/s41581-023-00804-y
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Arpita Joshi;Laura H Mariani
  • 通讯作者:
    Laura H Mariani

Laura H Mariani的其他文献

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{{ truncateString('Laura H Mariani', 18)}}的其他基金

Training Core
培训核心
  • 批准号:
    10704722
  • 财政年份:
    2022
  • 资助金额:
    $ 6.2万
  • 项目类别:
Integrative Molecular Epidemiology Approach to Identify Nephrotic Syndrome Subgroups
识别肾病综合征亚组的综合分子流行病学方法
  • 批准号:
    10153763
  • 财政年份:
    2018
  • 资助金额:
    $ 6.2万
  • 项目类别:
Integrative Molecular Epidemiology Approach to Identify Nephrotic Syndrome Subgroups
识别肾病综合征亚组的综合分子流行病学方法
  • 批准号:
    9926246
  • 财政年份:
    2018
  • 资助金额:
    $ 6.2万
  • 项目类别:

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