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Updated: Feb 13, 2026

Assessment of Vascular Function in Patients With Chronic Kidney Disease
Published on: June 16, 2014
Cardiovascular disease risk factors in chronic kidney disease: A systematic review and meta-analysis
Rupert W Major1,2, Mark R I Cheng3, Robert A Grant3
1Department of Health Sciences, University of Leicester, Leicester, United Kingdom.
Insights
Chronic kidney disease (CKD) patients face higher cardiovascular risks. New models should include factors like left ventricular hypertrophy, albumin, phosphate, urate, and hemoglobin for better risk prediction in CKD.
Area of Science:
- Nephrology
- Cardiology
- Epidemiology
Background:
- Chronic kidney disease (CKD) significantly increases cardiovascular disease (CVD) risk.
- Current CVD risk models may be inaccurate for CKD patients due to complex risk factor interactions.
- Identifying specific risk factors for CKD is crucial for accurate CVD prognostication.
Purpose of the Study:
- To systematically review and identify routinely collected risk factors for developing a CKD-specific cardiovascular prognostic model.
- To determine which risk factors are most relevant for predicting fatal and non-fatal cardiovascular events in individuals with non-endstage CKD.
Main Methods:
- Systematic review and meta-analysis of observational cohort studies and randomized controlled trials.
- Searches of MEDLINE and Embase databases using a registered protocol (PROSPERO ID-2016:CRD42016036187).
- Inclusion of studies with individuals aged ≥18 years with non-endstage CKD, extracting routinely collected risk factors adjusted for established CVD risk factors.
Main Results:
- A review of 3,232 abstracts identified 29 routinely collected risk factors, with 20 appearing in multiple cohorts.
- Data from 21 cohorts involving 27,465 individuals and 100,838 person-years were analyzed.
- Left ventricular hypertrophy, serum albumin, phosphate, urate, and hemoglobin were statistically significant predictors of future cardiovascular events in CKD patients, beyond traditional risk factors.
Conclusions:
- Non-traditional risk factors identified in this review are crucial for improving CVD risk assessment in CKD.
- Future cardiovascular prognostic models for CKD should incorporate these significant non-traditional factors.
- Accurate risk stratification is essential for managing cardiovascular complications in the growing CKD population.
Background And Objectives:
Chronic kidney disease (CKD) is a global health burden and is independently associated with increased cardiovascular disease risk. Assessment of cardiovascular risk in the general population using prognostic models based on routinely collected risk factors is embedded in clinical practice. In CKD, prognostic models may misrepresent risk due to the interplay of traditional atherosclerotic and non-traditional risk factors. This systematic review's aim was to identify routinely collected risk factors for inclusion in a CKD-specific cardiovascular prognostic model.
Design, Setting, Participants And Measurements:
Systematic review and meta-analysis of observational cohort studies and randomized controlled trials. Studies identified from MEDLINE and Embase searches using a pre-defined and registered protocol (PROSPERO ID-2016:CRD42016036187). The main inclusion criteria were individuals ≥18 years of age with non-endstage CKD. Routinely collected risk factors where multi-variable adjustment for established cardiovascular risk factors had occurred were extracted. The primary outcome was fatal and non-fatal cardiovascular events.
Results:
The review of 3,232, abstracts identified 29 routinely collected risk factors of which 20 were presented in more than 1 cohort. 21 cohorts were identified in relation to 27,465 individuals and 100,838 person-years. In addition to established traditional general population cardiovascular risk factors, left ventricular hypertrophy, serum albumin, phosphate, urate and hemoglobin were all found to be statistically significant in their association with future cardiovascular events.
Conclusions:
These non-traditional risk factors should be assessed in the development of future cardiovascular prognostic models for use in individuals with CKD.
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