课题基金 / 基金详情

HYDROCARBON EXPOSURE & CHRONIC RENAL DISEASE

HYDROCARBON EXPOSURE & CHRONIC RENAL DISEASE
碳氢化合物暴露
批准号:
3420615
负责人:
NABIH R ASAL
金额:
$18.2万
依托单位国家:
美国
项目类别:
财政年份:
1989
资助国家:
美国
项目状态:
已结题
起止时间:
1989-09-15 至 1992-09-14

项目摘要

项目成果

NABIH R ASAL的其他基金

相似基金

相关文献

中文摘要
翻译
将进行一项正在进行的病例对照研究,调查以下因素的作用: 长期接触碳氢化合物会导致慢性肾衰竭。 由于越来越多的终末期肾病患者 (ESRD),那些需要透析或有肾移植,他们 已成为医疗支出的主要因素。阐明 导致ESRD的过程和找到控制它们的方法是最重要的 有效的方法来减少个人、社会和经济困难, 这个条件。 在俄克拉荷马州和俄克拉荷马州的塔尔萨县,所有成年患者 慢性肾功能衰竭患者(包括ESRD患者和尚未达到 该阶段)确诊为慢性肾小球肾炎 (CGN)将被识别并作为病例输入研究。所有新 在未来三年内,符合这些要求的案件也将被 包括. 将从一般受试者中选择年龄性别匹配的对照组。 人口使用随机数字拨号技术。的目标数量 病例组和对照组各500例。每个病例和对照组将 管理一份问卷,以了解职业 病史、病史和家族病史以及相关 人口统计数据。 将计算碳氢化合物暴露指数并用于 危险因素的单变量和多变量统计分析 慢性肾衰竭单变量分析将采用比值比 多变量分析将采用考克斯线性Logistic 回归模型
英文摘要
An on-going case-control study will be conducted investigate the role of chronic exposure to hydrocarbons in causing chronic renal failure. Because of an ever increasing number of end-stage renal disease patients (ESRD), those requiring dialysis or having had a renal transplant, they have become a major factor in Medicare expenditures. Elucidating the processes leading to ESRD and finding ways to control them are the most valid ways to reduce the personal, social and economic hardships produced by this condition. In the Oklahoma and Tulsa county areas of Oklahoma all adult patients with chronic renal failure (both those with ESRD and those not yet at that stage) having a confirmed diagnosis of chronic glomerulonephritis (CGN) will be identified and entered into the study as cases. All new cases over the next three years meeting these requirements will also be included. An age-sex matched control group will be selected from the general population using a random digit dialing technique. The target number of total cases and controls will be 500 of each. Each case and control will be administered a questionnaire which will elicit information on occupational hisotry, medical history and family medical history as well as pertinent demographic data. An exposure index to hydrocarbons will be calculated and used in an univariate and multivariate statistical analysis of risk factors for chronic renal failure. The univariate analysis will employ the Odds Ratio and the multivariate analysis will employ Cox's Linear Logistic Regression Model.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
HEALTH AGENCY TRAINING IN BIOSTATISTICS & EPIDEMIOLOGY
HEALTH AGENCY TRAINING IN BIOSTATISTICS & EPIDEMIOLOGY
HEALTH AGENCY TRAINING IN BIOSTATISTICS & EPIDEMIOLOGY
HEALTH AGENCY TRAINING IN BIOSTATISTICS & EPIDEMIOLOGY
海外基金