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This is a multicenter, prospective, observational registry platform study which is designed to establish a CKD registry platform by collecting data on the demographics, etiology and staging, clinical characteristics, diagnostic and treatment patterns, and clinical outcomes of patients with chronic kidney disease (CKD), to describe the current status of the diagnosis and treatment of patients with CKD and the gaps from the diagnostic and treatment guidelines, explore the risk factors for disease progression and clinical outcomes in CKD patients, and construct a risk prediction model for CKD progression and clinical outcomes
Chronic Kidney Disease (CKD) is characterized by its high prevalence, low awareness, poor prognosis, and high medical costs, which seriously jeopardize human health. High-risk factors such as severe proteinuria and uncontrolled hypertension further exacerbate the progression of CKD, leading to adverse kidney outcomes, cardiovascular diseases, hospitalizations, and increased mortality. Given these challenges, establishing a registry platform for high-risk CKD patients in China is essential.
This multicenter, prospective, observational registry study aims to comprehensively gather data on the demographic and clinical characteristics, diagnosis and treatment patterns, clinical outcomes, and healthcare resource utilization among high-risk CKD patients in China, which will facilitate the exploration of risk factors associated with CKD progression and clinical outcomes and support the development of predictive models for these outcomes. During the study period from 2023 to 2027, we plan to enroll approximately 5,000 Chinese CKD patients across at least 37 study sites. The study will establish different CKD subpopulations, including but not limited to CKD with High Proteinuria and CKD with Hypertension. Baseline data and annual follow-up data will be collected for the enrolled CKD patients. By establishing this CKD registry platform, we aim to describe the current status of the diagnosis and treatment of CKD patients, identify gaps from diagnostic and treatment guidelines, explore risk factors for disease progression and clinical outcomes, and construct risk prediction models for CKD progression and clinical outcomes.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Group A | Participants with CKD and High Proteinuria | ||
| Group B | Participants with CKD and Hypertension |
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| Measure | Description | Time Frame |
|---|---|---|
| Disease Progression in CKD Patients | Patients with progressive deterioration of renal function, including decreased eGFR, rapid progression of CKD | From 2023 to 2027 |
| Clinical Outcomes in CKD Patients - Renal Outcomes | Including renal transplantation, maintenance dialysis, death from renal failure, persistent low eGFR, persistent percent decline in eGFR | From 2023 to 2027 |
| Clinical Outcomes in CKD Patients - Cardiovascular Outcomes | Including acute myocardial infarction, sudden serious arrhythmia, hospitalization due to heart failure, stroke or apoplexy, cardiovascular death | From 2023 to 2027 |
| Clinical Outcomes in CKD Patients - Cardiac and Renal Composite Outcomes | Composite outcome measure consisting of multiple single outcome measures for cardiovascular outcomes and renal outcomes | From 2023 to 2027 |
| Clinical Outcomes in CKD Patients - All-cause Mortality | In-hospital or out-of-hospital deaths from all causes, including but not limited to deaths related to cardiovascular outcomes or renal outcomes, etc. | From 2023 to 2027 |
| Changes in Patient Conditions - Changes in Proteinuria | Changes in UACR, UPCR, and 24 h urine protein (quantitative) from baseline | From 2023 to 2027 |
| Estimates of Changes in Patient Conditions - Changes in eGFR |
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Registry Platform Study Basic Inclusion & Exclusion Criteria:
Inclusion Criteria:
Exclusion Criteria:
Group A (Participants with CKD and High Proteinuria) Inclusion & Exclusion Criteria:
Inclusion criteria:
Last documented proteinuria test within 12 months prior to enrollment indicating UACR ≥ 700 mg/g, or UPCR ≥ 1000 mg/g, or 24 h urine protein (quantitative) ≥ 1 g/24 h.
Exclusion criteria:
Group B (patients with CKD and Hypertension) Inclusion & Exclusion Criteria:
Inclusion criteria:
Exclusion criteria:
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CKD patients with age not less than 18 years old.
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| Name | Affiliation | Role |
|---|---|---|
| Bicheng Liu | Zhongda Hospital | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Research Site | Baotou | China | ||||
| Research Site |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 41152758 | Derived | Wang G, Bian X, Luo Q, Dong J, Chen W, Hao Y, Wang L, Xu G, Yi B, Liao X, Chen C, Niu J, Deng J, Chen L, Zhang Y, Zhou T, Li G, Zhang D, Li Y, Mao H, Lv J, Peng Q, Zhang C, Xiang P, Zhang J, Li H, Xiao Y, Liu B. C-INSIGHT: design and methodology of a nationwide registry for high-risk chronic kidney disease in China - a study protocol. BMC Nephrol. 2025 Oct 28;26(1):599. doi: 10.1186/s12882-025-04495-4. |
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Qualified researchers can request access to anonymized individual patient-level data from AstraZeneca group of companies sponsored clinical trials via the request portal Vivli.org. All requests will be evaluated as per the AZ disclosure commitment: https://astrazenecagrouptrials.pharmacm.com/ST/Submission/Disclosure.
"Yes", indicates that AZ are accepting requests for IPD, but this does not mean all requests will be approved.
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Qualified researchers can request access to anonymized individual patient-level data from AstraZeneca group of companies sponsored clinical trials via the request portal Vivli.org. All requests will be evaluated as per the AZ disclosure commitment: https://astrazenecagrouptrials.pharmacm.com/ST/Submission/Disclosure.
"Yes", indicates that AZ are accepting requests for IPD, but this does not mean all requests will be approved.
AstraZeneca will meet or exceed data availability as per the commitments made to the EFPIA/PhRMA Data-Sharing Principles. For details of our timelines, please refer to our disclosure commitment at https://astrazenecagrouptrials.pharmacm.com/ST/Submission/Disclosure.
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Changes from baseline in glomerular filtration rate (eGFR), eGFR slope
| From 2023 to 2027 |
| Beijing |
| China |
| Research Site | Changsha | China |
| Research Site | Changzhou | China |
| Research Site | Chengdu | China |
| Research Site | Chongqing | China |
| Research Site | Dongguan | China |
| Research Site | Guangzhou | China |
| Research Site | Haikou | China |
| Research Site | Hefei | China |
| Research Site | Hengyang | China |
| Research Site | Huaian | China |
| Research Site | Jilin City | China |
| Research Site | Jining | China |
| Research Site | Nanchang | China |
| Research Site | Nanjing | China |
| Research Site | Nanning | China |
| Research Site | Ningbo | China |
| Research Site | Panjin | China |
| Research Site | Pingxiang | China |
| Research Site | Shanghai | China |
| Research Site | Shantou | China |
| Research Site | Shenzhen | China |
| Research Site | Taizhou | China |
| Research Site | Wenzhou | China |
| Research Site | Wuhan | China |
| Research Site | Wuxi | China |
| Research Site | Xiamen | China |
| Research Site | Xianyang | China |
| Research Site | Yantai | China |
| Research Site | Yibin | China |
| Research Site | Zhongshan | China |
| Research Site | Zhuzhou | China |
| Research Site | Zigong | China |
| ID | Term |
|---|---|
| D051436 | Renal Insufficiency, Chronic |
| ID | Term |
|---|---|
| D051437 | Renal Insufficiency |
| D007674 | Kidney Diseases |
| D014570 | Urologic Diseases |
| D052776 | Female Urogenital Diseases |
| D005261 | Female Urogenital Diseases and Pregnancy Complications |
| D000091642 | Urogenital Diseases |
| D052801 | Male Urogenital Diseases |
| D002908 | Chronic Disease |
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
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