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Updated: Jul 11, 2025

Assessment of Vascular Function in Patients With Chronic Kidney Disease
Published on: June 16, 2014
Retinal changes and cardiac biomarker assessment in relation to chronic kidney disease: a single centre study
Ruslinda Mustafar1, Khairun Amalin Mohd Hishamuddin2, Rozita Mohd1
1Department of Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia.
Insights
Chronic kidney disease (CKD) in Malaysia is rising. Retinal vessel changes and cardiac biomarkers like hs-CRP correlate with CKD progression, offering potential non-invasive assessment tools. Macula volume may indicate cardiovascular risk in CKD patients.
Area of Science:
- Ophthalmology and Nephrology
- Biomarker Discovery
- Cardiovascular Risk Stratification
Background:
- Rising prevalence of chronic kidney disease (CKD) in Malaysia necessitates early detection to mitigate cardiovascular (CV) risks, a leading cause of death in end-stage renal disease (ESRD).
- Retinal changes serve as indicators of CKD, while cardiac biomarkers aid in assessing cardiovascular risk.
- This study investigates the relationship between retinal changes, cardiac biomarkers, and CKD.
Purpose of the Study:
- To explore the correlation between specific retinal imaging parameters and cardiac biomarkers in patients with varying stages of chronic kidney disease (CKD).
- To evaluate the potential of these parameters as non-invasive markers for CKD assessment and cardiovascular risk stratification.
Main Methods:
- A single-centre, cross-sectional study involving 84 patients with CKD stages 3-5 (non-dialysis).
- Fundus photography was used to analyze retinal vessel calibre (CRVE, CRAE) and tortuosity.
- Optical coherence tomography measured macular volume, while blood samples assessed hs-CRP and ADMA levels.
Main Results:
- Retinal vessel tortuosity and central retinal venular equivalent (CRVE) showed significant correlations with estimated glomerular filtration rate (eGFR) and proteinuria.
- High-sensitivity C-reactive protein (hs-CRP) levels correlated negatively with eGFR and positively with proteinuria.
- Diabetic patients exhibited higher CRVE, while a history of ischemic heart disease was linked to smaller macula volume. Age, male gender, HbA1c, and hs-CRP influenced retinal parameters.
Conclusions:
- eGFR is a significant factor influencing retinal vessel tortuosity, CRVE, and hs-CRP, suggesting their utility as non-invasive CKD assessment tools.
- Macula volume appears to be the primary parameter associated with cardiovascular risk within the CKD population.
- Further research is warranted to validate these findings and their clinical applicability in managing CKD patients.
Background:
The prevalence of chronic kidney disease (CKD) is rising in Malaysia. Early detection is necessary to prevent disease progression, especially in terms of cardiovascular (CV) risk, the main cause of death in end-stage renal disease (ESRD). Retinal changes have proven to be a good predictor of CKD whereas cardiac biomarkers are useful in cardiovascular risk stratification. We aimed to demonstrate the correlation between retinal changes and cardiac biomarkers with CKD.
Methods:
This single-centre cross-sectional study was conducted among patients with CKD stages 3, 4, and 5 (not on dialysis) from the Nephrology Clinic, Universiti Kebangsaan Malaysia Medical Centre. A total of 84 patients were recruited with an even distribution across all three stages. They underwent fundus photography where images were analysed for vessel calibre (central retinal venular equivalent (CRVE), central retinal arterial equivalent (CRAE), and tortuosity indices. Optical coherence tomography was used to measure macular volume. Blood samples were sent for laboratory measurement of high-sensitivity C-reactive protein (hs-CRP) and asymmetric dimethylarginine (ADMA). These parameters were analysed in relation to CKD.
Results:
The mean age was 58.8 ± 11.7 years, with 52.4% male and 47.6% female patients. Among them, 64.3% were diabetics. Retinal vessel tortuosity (r = -0.220, p-value = 0.044) had a negative correlation with the estimated glomerular filtration rate (eGFR). CRVE showed a positive correlation with proteinuria (r = 0.342, p = 0.001) but negative correlation with eGFR (r = -0.236, p = 0.031). Hs-CRP positively correlated with proteinuria (r = 0.313, p = 0.04) and negatively correlated with eGFR (r = -0.370, p = 0.001). Diabetic patients had a higher CRVE compared to non-diabetic patients (p = 0.02). History of ischaemic heart disease was associated with a smaller macula volume (p = 0.038). Male gender (r2 = 0.066, p = 0.031) and HbA1c had a positive influence (r2 = 0.066, p = 0.047) on retinal vessel tortuosity. There was a positive influence of age (r2 = 0.183, p = 0.012) and hs-CRP (r2 = 0.183, p = 0.045) on CRVE. As for macula volume, it negatively correlated with diabetes (r2 = 0.015, p = 0.040) and positively correlated with smoking (r2 = 0.015, p = 0.012).
Conclusion:
Our study showed that eGFR value affects retinal vessel tortuosity, CRVE and hs-CRP. These parameters bear potential to be used as non-invasive tools in assessing CKD. However, only macula volume may be associated with CVD risk among the CKD population.
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