The Minnesota attributable risk of kidney donation (MARKD) study: a retrospective cohort study of long-term (> 50 year) outcomes after kidney donation compared to well-matched healthy controls.

The Minnesota attributable risk of kidney donation (MARKD) study: a retrospective cohort study of long-term (> 50 year) outcomes after kidney donation compared to well-matched healthy controls.
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DOI:
10.1186/s12882-023-03149-7
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发表时间:
2023-05-01
期刊:
影响因子:
2.3
通讯作者:
Matas, Arthur J.
Matas, Arthur J.
中科院分区:
医学4区
文献类型:
--
作者:
Vock, David M.;Helgeson, Erika S.;Mullan, Aidan F.;Issa, Naim S.;Sanka, Sujana;Saiki, Alison C.;Mathson, Kristin;Chamberlain, Alanna M.;Rule, Andrew D.;Matas, Arthur J.

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活体肾脏捐赠的长期风险存在不确定性。为了了解肾脏捐献的归因风险,需要设计良好的研究,并在肾脏疾病的危险因素上进行良好匹配的对照。明尼苏达州肾脏捐献归因风险(MARKD)研究的目标是将活体捐献者(LD)的长期(> 50年)结果与健康状况良好匹配的当代和地理位置相似的对照进行比较。明尼苏达大学(n = 4022;第1次移植:1963)和马约诊所LD(n = 3035;第1次移植:1963)将根据年龄、性别和人种/种族与罗切斯特流行病学项目(REP)对照(约4名对照:1名供体)匹配。REP控制是一个定义明确的人群,奥姆斯特德和周边县的所有提供者之间都有详细的医疗记录数据,这些数据来自与捐赠者相同的地理区域和时代(20世纪60年代初至今)。将仔细选择对照组,以使其在索引日期(其匹配的供体捐献日期)的健康状态可接受。对照组的进一步细化将包括确认的肾脏健康(例如,正常血清肌酸酐和/或无蛋白尿)和匹配(在索引日期)的体重指数、吸烟史、慢性肾病家族史和血压。结果将通过国家登记处(国家死亡指数和美国肾脏数据系统)以及对捐赠者和对照组进行的新调查来确定;数据将通过捐赠者和REP对照组的先前调查和医疗记录审查来补充。要比较的结局是全因死亡率、终末期肾病、心血管疾病和死亡率、估计的肾小球滤过率(eGFR)轨迹和慢性肾病、妊娠风险以及经常导致慢性肾病的疾病(例如高血压、糖尿病和肥胖)的发展。我们还将根据基线特征评估献血的风险是否不同。我们的研究将提供一个长期活体供者风险的全面评估,以告知候选活体供者,并告知当前活体供者的后续和护理。在线版本包含补充材料,可通过10.1186/s12882-023-03149-7获得。
There is uncertainty about the long-term risks of living kidney donation. Well-designed studies with controls well-matched on risk factors for kidney disease are needed to understand the attributable risks of kidney donation. The goal of the Minnesota Attributable Risk of Kidney Donation (MARKD) study is to compare the long-term (> 50 years) outcomes of living donors (LDs) to contemporary and geographically similar controls that are well-matched on health status. University of Minnesota (n = 4022; 1st transplant: 1963) and Mayo Clinic LDs (n = 3035; 1st transplant: 1963) will be matched to Rochester Epidemiology Project (REP) controls (approximately 4 controls to 1 donor) on the basis of age, sex, and race/ethnicity. The REP controls are a well-defined population, with detailed medical record data linked between all providers in Olmsted and surrounding counties, that come from the same geographic region and era (early 1960s to present) as the donors. Controls will be carefully selected to have health status acceptable for donation on the index date (date their matched donor donated). Further refinement of the control group will include confirmed kidney health (e.g., normal serum creatinine and/or no proteinuria) and matching (on index date) of body mass index, smoking history, family history of chronic kidney disease, and blood pressure. Outcomes will be ascertained from national registries (National Death Index and United States Renal Data System) and a new survey administered to both donors and controls; the data will be supplemented by prior surveys and medical record review of donors and REP controls. The outcomes to be compared are all-cause mortality, end-stage kidney disease, cardiovascular disease and mortality, estimated glomerular filtration rate (eGFR) trajectory and chronic kidney disease, pregnancy risks, and development of diseases that frequently lead to chronic kidney disease (e.g. hypertension, diabetes, and obesity). We will additionally evaluate whether the risk of donation differs based on baseline characteristics. Our study will provide a comprehensive assessment of long-term living donor risk to inform candidate living donors, and to inform the follow-up and care of current living donors. The online version contains supplementary material available at 10.1186/s12882-023-03149-7.
DOI: 10.2215/cjn.04160511
发表时间: 2011-12-01
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