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NCT Number: NCT04034992

A Study on Patients With Chronic Kidney Disease (CKD) to Assess Treatment Experience and Patterns, Effect of the Treatment, Patient Outcomes and Patient Quality of Life

DISCOVER CKD is an international observational cohort study in patients with CKD, comprising both prospective and retrospective patient cohorts. The study does not attempt to test any specific a priori hypotheses, is largely descriptive, and utilises data collected only under conditions of routine clinical care.

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Key information

Age range

18 year–130 year

Sex eligibility

All sexes

Study type

Observational

Primary location

Research Site, Rome, Lazio, Italy

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About this study

DISCOVER CKD is an international observational cohort study in CKD patients, comprising both prospective and retrospective patient cohorts. The study does not attempt to test any specific a priori hypotheses, is largely descriptive, and utilises data collected only under conditions of routine clinical care. No additional invasive clinical tests or procedures are mandated per study protocol, and all data collected/extracted is based solely on observations of disease management and treatment decisions made between the treating physicians and their patients, and is not intended to be interventional in anyway. Patients will not receive any experimental intervention or experimental treatment as a result of participating in this study. Analyses will be conducted separately for prospective and retrospective CKD cohorts (via interim reports), and then in aggregate by combining prospective and retrospective data, to the extent possible, at the end of the study.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • For all countries, except Japan: Male or female patients aged 18 years and over. For Japan: Male or female patients aged 20 years and over.
  • First documented diagnostic code (eg, International Classification of Diseases-10) of CKD (Stages 3A, 3B, 4, 5, or end stage renal disease) or two measures of eGFR of <75mL/min/1.73 m^2 recorded at least 90 days apart on or after 1 January 2008, or a code for chronic Renal replacement therapy (hemodialysis and peritoneal dialysis), whichever comes first.
  • Provision of written informed consent - specific for prospective data capture.

Exclusion criteria

  • Concurrent participation in any interventional trial at baseline (index) (prospective only). To be implemented based on local regulatory requirements.
  • The patient is undergoing treatment for active cancer, except for non-melanoma skin cancer.
  • Patients with a life expectancy of less than 12 months (prospective only).
  • Diagnosis of cancer on or within the 1-year prior to index (retrospective only).
  • Less than 1-year registration/medical history (pre-index) (retrospective only).

Treatment and study plan

Primary outcomes

  1. Construct a cohort of patients with CKD

    Time frame: Prospective cohort: From baseline up to approximately 3 years Retrospective cohort: From 1 January 2008 up to approximately 15 years of patient follow-up

    Construct a multinational longitudinal cohort of patients with CKD that can be used for primary and secondary analyses

Secondary outcomes

  1. Number of patients with CKD with comorbidities and other patient characteristics

    Time frame: Prospective cohort: From baseline up to approximately 3 years Retrospective cohort: From 1 January 2008 up to approximately 15 years of patient follow-up

    Describe patient characteristics including demographics, clinical assessments, family history, procedures, laboratory measurements, treatment patterns and adherence, healthcare resource utilization and clinical history (comorbidities) stratified for example by: CKD stage, select demographic characteristics, country and comorbidity status including, hyperkalemia, anemia, and diabetes status

  2. Change in estimated glomerular filtration rate [eGFR]

    Time frame: Prospective cohort: From baseline up to approximately 3 years Retrospective cohort: From 1 January 2008 up to approximately 15 years of patient follow-up

    To evaluate disease progression using retrospective and prospective data from the multinational longitudinal cohort of patients with CKD stratified for example by: CKD stage, select demographic characteristics, country and comorbidity status including, hyperkalemia, anemia, and diabetes status

  3. Time to end-stage kidney disease

    Time frame: Prospective cohort: From baseline up to approximately 3 years Retrospective cohort: From 1 January 2008 up to approximately 15 years of patient follow-up

    To evaluate disease progression using retrospective and prospective data from the multinational longitudinal cohort of patients with CKD stratified for example by: CKD stage, select demographic characteristics, country and comorbidity status including, hyperkalemia, anemia, and diabetes status

  4. Time to incident clinical outcomes

    Time frame: Prospective cohort: From baseline up to approximately 3 years Retrospective cohort: From 1 January 2008 up to approximately 15 years of patient follow-up

    To evaluate disease progression using retrospective and prospective data from the multinational longitudinal cohort of patients with CKD stratified for example by: CKD stage, select demographic characteristics, country and comorbidity status including, hyperkalemia, anemia, and diabetes status

  5. Incidence of clinical outcomes

    Time frame: Prospective cohort: From baseline up to approximately 3 years Retrospective cohort: From 1 January 2008 up to approximately 15 years of patient follow-up

    To evaluate clinical outcomes using retrospective and prospective data from the multinational longitudinal cohort of patients with CKD stratified for example by: CKD stage, select demographic characteristics, country and comorbidity status including, hyperkalemia, anemia, and diabetes status

  6. Prevalence of clinical outcomes

    Time frame: Prospective cohort: From baseline up to approximately 3 years Retrospective cohort: From 1 January 2008 up to approximately 15 years of patient follow-up

    To evaluate clinical outcomes using retrospective and prospective data from the multinational longitudinal cohort of patients with CKD stratified for example by: CKD stage, select demographic characteristics, country and comorbidity status including, hyperkalemia, anemia, and diabetes status

  7. Time to clinical outcomes

    Time frame: Prospective cohort: From baseline up to approximately 3 years Retrospective cohort: From 1 January 2008 up to approximately 15 years of patient follow-up

    To evaluate clinical outcomes using retrospective and prospective data from the multinational longitudinal cohort of patients with CKD stratified for example by: CKD stage, select demographic characteristics, country and comorbidity status including, hyperkalemia, anemia, and diabetes status

  8. Hazard ratio of clinical outcomes

    Time frame: Prospective cohort: From baseline up to approximately 3 years Retrospective cohort: From 1 January 2008 up to approximately 15 years of patient follow-up

    To evaluate clinical outcomes using retrospective and prospective data from the multinational longitudinal cohort of patients with CKD stratified for example by: CKD stage, select demographic characteristics, country and comorbidity status including, hyperkalemia, anemia, and diabetes status

  9. Number of patients prescribed different treatments related to CKD and associated comorbidities

    Time frame: Prospective cohort: From baseline up to approximately 3 years Retrospective cohort: From 1 January 2008 up to approximately 15 years of patient follow-up

    To understand the treatment practice and medication adherence using retrospective and prospective data from the multinational longitudinal cohort of patients with CKD stratified for example by: CKD stage, select demographic characteristics, country and comorbidity status including, hyperkalemia, anemia, and diabetes status

  10. Describing cost associated with utilizing healthcare resources for CKD

    Time frame: Prospective cohort: From baseline up to approximately 3 years Retrospective cohort: From 1 January 2008 up to approximately 15 years of patient follow-up

    To understand the healthcare resource use and cost using retrospective and prospective data from the multinational longitudinal cohort of patients with CKD stratified for example by: CKD stage, select demographic characteristics, country and comorbidity status including, hyperkalemia, anemia, and diabetes status

  11. Health related quality of life as assessed using the SF-36 questionnaire

    Time frame: Prospective cohort: From baseline up to approximately 3 years

    Patient specific data will be collected in a prospective manner in the multinational longitudinal cohort of patients with CKD stratified for example by: CKD stage, select demographic characteristics, country and comorbidity status including, hyperkalemia, anemia, and diabetes status. The SF-36 is a multipurpose questionnaire with 36 questions to measure status of different health domains

  12. Physical activity as assessed using RAPA questionnaire

    Time frame: Prospective cohort: From baseline up to approximately 3 years

    Patient specific data will be collected in a prospective manner in the multinational longitudinal cohort of patients with CKD stratified for example by: CKD stage, select demographic characteristics, country and comorbidity status including, hyperkalemia, anemia, and diabetes status. The RAPA is a self-administered questionnaire consisting of 9 binary (yes or no) questions to understand level of physical activity by an individual

  13. Diet assessed using food dairies

    Time frame: Prospective cohort: From baseline up to approximately 3 years

    Patient specific data will be collected in a prospective manner in the multinational longitudinal cohort of patients with CKD stratified for example by: CKD stage, select demographic characteristics, country and comorbidity status including, hyperkalemia, anemia, and diabetes status

  14. Work productivity as assessed WPAI

    Time frame: Prospective cohort: From baseline up to approximately 3 years

    Patient specific data will be collected in a prospective manner in the multinational longitudinal cohort of patients with CKD stratified for example by: CKD stage, select demographic characteristics, country and comorbidity status including, hyperkalemia, anemia, and diabetes status. The WPAI questionnaire consists of 6 questions to assess the impact of disease on work productivity

  15. Describing patient specific symptoms

    Time frame: Prospective cohort: From baseline up to approximately 3 years

    Patient specific data will be collected in a prospective manner in the multinational longitudinal cohort of patients with CKD stratified for example by: CKD stage, select demographic characteristics, country and comorbidity status including, hyperkalemia, anemia, and diabetes status

  16. Describing patient experiences with CKD via qualitative interviews

    Time frame: Prospective cohort: From baseline up to approximately 3 years

    Patient specific data will be collected in a prospective manner in the multinational longitudinal cohort of patients with CKD stratified for example by: CKD stage, select demographic characteristics, country and comorbidity status including, hyperkalemia, anemia, and diabetes status

  17. Number of deaths

    Time frame: Prospective cohort: From baseline up to approximately 3 years Retrospective cohort: From 1 January 2008 up to approximately 15 years of patient follow-up

    Information of death (including cause of death) will be obtained stratified for example by: CKD stage, select demographic characteristics, country and comorbidity status including, hyperkalemia, anemia, and diabetes status

Other outcomes

  1. Changes in laboratory values over time

    Time frame: Prospective cohort: From baseline up to approximately 3 years Retrospective cohort: From 1 January 2008 up to approximately 15 years of patient follow-up

    Describing trajectories in laboratory variables over time stratified for example by: CKD stage, select demographic characteristics, country and comorbidity status including, hyperkalemia, anemia, and diabetes status

  2. Risk factors associated with CKD

    Time frame: Prospective cohort: From baseline up to approximately 3 years Retrospective cohort: From 1 January 2008 up to approximately 15 years of patient follow-up

    Exploring and identifying risk factors associated with CKD and other comorbidities stratified for example by: CKD stage, select demographic characteristics, country and comorbidity status including, hyperkalemia, anemia, and diabetes status

  3. Number of patients using a mobile phone/tablet application

    Time frame: Prospective cohort: From baseline up to approximately 3 years

    To evaluate compliance of questionnaire completion, data on number of patients using mobile phone/tablet application will be collected

Sponsors and collaborators

Lead sponsor

AstraZeneca

Industry

Registry information

Official study title

An Observational Study Collecting Real-world Data on Patients With Chronic Kidney Disease to Assess: Early Treatment Experience, Treatment Patterns, Treatment Effectiveness, Patient Outcomes and Patient Quality of Life Through Prospective and Retrospective Data Capture

Important dates

Study start
2019
Primary completion
2023
Study completion
2023
First posted
Jul 29, 2019
Registry last updated
Mar 6, 2024

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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