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Updated: Jul 20, 2025

Assessment of Vascular Function in Patients With Chronic Kidney Disease
Published on: June 16, 2014
Kidney function and cardiovascular diseases: a large-scale observational and Mendelian randomization study
Chang Hu1,2, Yiming Li1,2, Yaoyao Qian1,2
1Department of Critical Care Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Insights
Cardiovascular diseases (CVDs) causally increase the risk of kidney dysfunction, including chronic kidney disease (CKD) and renal failure (RF). However, current evidence does not support a causal effect of kidney function on CVD development.
Area of Science:
- Investigates the complex interplay between renal function and cardiovascular health.
- Employs advanced statistical methods, including Mendelian randomization, to explore causality.
Background:
- Previous observational studies suggest an association between kidney function and cardiovascular diseases (CVDs).
- Causality in the relationship between kidney function and CVDs remains unclear.
Purpose of the Study:
- To examine the causal relationship between kidney function and CVDs.
- To investigate the bidirectional causal effects of kidney function (eGFR, CKD) and CVDs (AF, CAD, HF, AS, AIS).
Main Methods:
- Utilized data from the eICU Collaborative Research Database (2014-2015) for observational analysis.
- Conducted a two-sample bidirectional Mendelian randomization (MR) analysis to infer causality.
- Included large patient cohorts and specific cardiovascular and kidney disease metrics.
Main Results:
- Observational analysis: Baseline CVDs significantly increased the risk of developing renal failure (RF) during hospitalization.
- Mendelian randomization: Genetically predicted atrial fibrillation (AF) associated with increased CKD risk; heart failure (HF) correlated with lower estimated glomerular filtration rate (eGFR).
- Mendelian randomization: Genetic susceptibility for stroke (AS, AIS) linked to lower eGFR and higher CKD risk. No significant causal effect of kidney function on CVDs was found.
Conclusions:
- This study provides evidence for the causal effect of CVDs on kidney function.
- Insufficient evidence currently supports a causal role of kidney function in the development of CVDs.
- Further mechanistic studies are warranted to elucidate the causal pathways.
Background:
Prior observational studies have found an association between kidney function and cardiovascular diseases (CVDs). However, these studies did not investigate causality. Therefore, the aim of this study is to examine the causal relationship between kidney function and CVDs.
Methods:
We utilized data from the eICU Collaborative Research Database (eICU-CRD) from the years 2014-2015 to evaluate the observational association between renal failure (RF) and CVDs. To investigate the causal effects of kidney function (estimated glomerular filtration rate [eGFR] and chronic kidney disease [CKD]) and CVDs (including atrial fibrillation [AF], coronary artery disease [CAD], heart failure [HF], any stroke [AS], and any ischemic stroke [AIS]), we conducted a two-sample bidirectional Mendelian randomization (MR) analysis.
Results:
In the observational analysis, a total of 157,883 patients were included. After adjusting for potential confounding factors, there was no significant association between baseline RF and an increased risk of developing CVDs during hospitalization [adjusted odds ratio (OR): 1.056, 95% confidence interval (CI): 0.993 to 1.123, P = 0.083]. Conversely, baseline CVDs was significantly associated with an increased risk of developing RF during hospitalization (adjusted OR: 1.189, 95% CI: 1.139 to 1.240, P < 0.001). In the MR analysis, genetically predicted AF was associated with an increased risk of CKD (OR: 1.050, 95% CI: 1.016 to 1.085, P = 0.004). HF was correlated with lower eGFR (β: -0.056, 95% CI: -0.090 to -0.022, P = 0.001). A genetic susceptibility for AS and AIS was linked to lower eGFR (β: -0.057, 95% CI: -0.079 to -0.036, P < 0.001; β: -0.029, 95% CI: -0.050 to -0.009, P = 0.005; respectively) and a higher risk of CKD (OR: 1.332, 95% CI: 1.162 to 1.528, P < 0.001; OR: 1.197, 95% CI: 1.023 to 1.400, P = 0.025; respectively). Regarding the reverse direction analysis, there was insufficient evidence to prove the causal effects of kidney function on CVDs. Outcomes remained consistent in sensitivity analyses.
Conclusion:
Our study provides evidence for causal effects of CVDs on kidney function. However, the evidence to support the causal effects of kidney function on CVDs is currently insufficient. Further mechanistic studies are required to determine the causality.
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