Clinical Trial Details
— Status: Completed
Administrative data
| NCT number |
NCT04948424 |
| Other study ID # |
Anaemia, retrospective |
| Secondary ID |
|
| Status |
Completed |
| Phase |
|
| First received |
|
| Last updated |
|
| Start date |
January 1, 2022 |
| Est. completion date |
August 31, 2022 |
Study information
| Verified date |
December 2022 |
| Source |
Peking University First Hospital |
| Contact |
n/a |
| Is FDA regulated |
No |
| Health authority |
|
| Study type |
Observational
|
Clinical Trial Summary
The overall objective is to describe the epidemiology, health care resource utilisation
(HCRU) and selected clinical outcomes in patients initiating PD by anaemia status in
real-world setting in China.
Description:
Real-world evidence for chronic kidney disease (CKD)-associated anemia in China is scarce.
This study aims to provide supporting novel evidence for the real-world management and
treatment of patients on PD with CKD-associated anemia. This is an observational cohort study
using secondary data. The data source is the PD Telemedicine-based Management Platform
(PDTAP) database, which is a clinical database that prospectively collects data in patients
receiving PD and evaluates PD management and clinical practice in China. The PDTAP database
has enrolled around 7,000 patients receiving PD from 27 hospitals in 14 provinces located in
all seven geographical regions (northwest, northeast, north, central, southwest, southeast
and south) in China.
The overall objective is to describe the epidemiology, patient characteristics, treatment
patterns relevant to anemia and clinical outcomes in patients on PD in real-world practice in
China. Specifically, the incidence and prevalence of anemia will be estimated. The patient
characteristics, medication use, select laboratory values and clinical outcomes, and
healthcare resource utilization (HCRU) will be described in PD patients with and without
anemia. The primary outcomes are 1) the incidence and prevalence of anemia, including the
factors that predict the incidence of anemia; 2) the number and percentage of patients who
experienced all-cause hospitalizations; 3) adverse clinical outcomes, such as mortality MACE
and modified MACE+. The secondary outcomes are 1) hemoglobin levels or anemia, iron
variables, medications on anemia management and clinical outcomes in patients with or without
inflammation; 2) ESA responsiveness; 3) Other clinical outcomes, such as transfer to
hemodialysis and peritonitis.
Associations between anemia, anemia-relevant factors and above clinical outcomes can be
analyzed in series of paper with specific aims. For example, 1) the relationship between
hemoglobin levels or anemia and clinical outcomes (such as mortality, MACE, modified MACE+,
hospitalization, transfer to hemodialysis and peritonitis); 2) prognostic factors that
predict the incidence of anemia during the follow up; 3) hemoglobin levels or anemia, iron
variables, medications on anemia management and clinical outcomes in patients with or without
inflammation; 4) the relationship between hemoglobin levels or anemia, erythropoietin
responsiveness and clinical outcomes; 5) prognostic factors that predict the
hyporesponsiveness to erythropoietin; 6) determine cut-off values of the iron index (such as
serum iron, ferritin, TIBC and TSAT) to predicting worse clinical outcomes. Each study could
select hemoglobin relevant variables including clinical characteristics and treatment
patterns at baseline and/or during the follow up, and explore their associations with
specific clinical outcomes.
Confounding, interaction or mediation effects could be evaluated. Subgroups, such as with or
without diabetes, with or without CVD, with or without inflammation status et al could be
analyzed as needed. Cox, competing risk models, Poisson or NegBin regression models may be
used as needed.