Natural History of Chronic Kidney Disease in the US Population Using Electronic Healthcare Records
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- Bayer
- 入组人数
- 969,394
- 试验地点
- 1
- 主要终点
- Diagnosed Cohorts - Change in CKD stage based on ICD codes
研究概览
简要总结
This is an observational study in which the health data of people with chronic kidney disease are studied using electronic healthcare records. In observational studies, only observations are made without participants receiving any advice or any changes to healthcare.
Chronic kidney disease (CKD) is a condition in which the kidney's ability to work properly gradually decreases over time. This causes a buildup of waste in the body and can lead to loss of kidney function over the long term. CKD is divided into different stages based on how well the kidneys are filtering the blood.
CKD is known to increase the risk of developing serious health problems such as serious heart problems, irreversible damage to kidneys requiring either dialysis or a kidney transplant (end stage kidney disease, ESKD), and early death. However, there is limited information available about how often heart problems occur in people with different stages of CKD, and how a history of heart problems might affect future risks for CKD patients.
The purpose of this study is to collect more information on how CKD changes over time for people at different CKD stages and how it affects their heart and kidneys.
The main information that researchers will collect in this study:
changes in kidney function (worsening or improvement).
Other information that researchers will collect:
patient characteristics for each stage of CKD,
the length of time for serious heart-related conditions to occur,
the length of time it takes for CKD to progress to kidney failure,
the length of time for occurrence of deaths due to any causes, and
the length of time it takes for serious heart-related conditions and kidney failure to occur.
This study will include CKD patients above 18 years of age. Researchers will review electronic healthcare records to identify CKD patients in two ways:
using disease codes for CKD and
using lab results which show abnormal kidney function.
The data will come from participants' information stored in an electronic healthcare records database called Merative Explorys database Electronic Medical Record (EMR) in the United States of America.
The research will cover the period from January 2010 up to December 2019.
Researchers will track individual patients' data and will follow them for a maximum of 5 years or until they experience certain events like changes to their CKD stage, kidney failure, serious heart-related conditions, or death.
In this study, only available data from routine care is analyzed. No visits or tests are required.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Retrospective
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- 未提供
排除标准
- 未提供
结局指标
主要结局
Diagnosed Cohorts - Change in CKD stage based on ICD codes
时间窗: Retrospective analysis between 1 Jan 2010 to 31 Dec 2019
Lab based Cohorts - Change in KDIFO eGFR stage based on two values and at least one of the values showing an increase or decrease by ≥25% in eGFR from baseline stage
时间窗: Retrospective analysis between 1 Jan 2010 to 31 Dec 2019
次要结局
- Descriptive summary of patient characteristics per Chronic kidney disease (CKD) stage (1-5)(Retrospective analysis between 1 Jan 2010 to 31 Dec 2019)
- Time to End Stage Kidney Disease (ESKD)(Retrospective analysis between 1 Jan 2010 to 31 Dec 2019)
- Time to MACE+ and end-stage kidney disease (ESKD) in patients who progressed or regressed(Retrospective analysis between 1 Jan 2010 to 31 Dec 2019)
- Time to Major adverse coronary events (MACE)+ (composite and individual components)(Retrospective analysis between 1 Jan 2010 to 31 Dec 2019)
- Time to all-cause mortality(Retrospective analysis between 1 Jan 2010 to 31 Dec 2019)