Renal Hyperfiltration Dynamics Identified as Key Marker for Cardiovascular Risk

A massive nationwide cohort study of over one million individuals has revealed that the trajectory of renal hyperfiltration (RHF) serves as a critical, dynamic marker for predicting adverse cardiovascular and mortality outcomes, offering a nuanced approach to cardiovascular risk stratification.

Renal hyperfiltration, defined as an estimated glomerular filtration rate (eGFR) exceeding the 95th percentile after rigorous adjustments, is recognized as a precursor to various adverse clinical events. However, the prognostic implications of RHF are not static; it is a dynamic condition that can emerge, disappear, or persist over time. Researchers addressed this complexity by analyzing a nationwide cohort study involving 1,022,062 individuals of Korean ethnicity who underwent consecutive health screenings between 2012 and 2015.

The study meticulously categorized participants based on their RHF transitions into four distinct groups: RHF-free, those who developed RHF, those whose RHF disappeared, and those who maintained persistent RHF. By assessing the risks of both mortality and cardiovascular (CV) events across these groups, the researchers identified distinct, outcome-specific associations related to the dynamics of hyperfiltration.

The most pronounced risk was observed in individuals exhibiting persistent RHF. Compared to the RHF-free pattern, those with persistent RHF demonstrated the highest risks for both mortality and CV events. Specifically, the adjusted hazard ratio (HR) for mortality was 1.61 (95% CI, 1.24–2.10), and the HR for CV events was 1.39 (95% CI, 1.13–1.71), highlighting the severe long-term implications of sustained hyperfiltration.

Beyond persistent cases, the study demonstrated that mortality risk increased across all other RHF transition patterns—including those who developed, disappeared, or persisted—regardless of the duration of exposure or the specific slope of the hyperfiltration excess. This suggests that the mere presence of RHF, regardless of its stability, elevates overall risk compared to the RHF-free state.

The findings regarding cardiovascular risk were even more nuanced. CV risk was found to increase primarily in the RHF-disappeared and RHF-persistent patterns. Crucially, in the RHF-disappeared group, the CV risk was particularly elevated when coupled with longer RHF exposure and a declining hyperfiltration excess. This indicates that the process of hyperfiltration regression itself carries significant risk, especially when it follows a period of prolonged elevation.

Conversely, the researchers noted a distinct lack of CV risk increase in the RHF-development pattern when compared to the RHF-free pattern. This finding underscores the critical importance of distinguishing between the different ways RHF manifests and resolves, emphasizing that the direction and stability of the dynamic change are as important as the absolute level of hyperfiltration.

These results collectively establish that RHF dynamics provide a sophisticated layer of information for risk stratification that simple static measurements of eGFR cannot capture. By categorizing individuals based on whether their hyperfiltration developed, disappeared, or remained persistent, the study successfully delineated distinct risk profiles for mortality and cardiovascular events.

The comprehensive nature of this nationwide cohort study provides robust evidence that tracking the temporal changes in renal hyperfiltration is essential for identifying high-risk populations, thereby offering a powerful tool for future clinical risk assessment in cardiovascular health.

Subject of Research: The dynamic changes in renal hyperfiltration (RHF) are associated with distinct risks for cardiovascular events and mortality in large cohorts.

Article Title: Renal hyperfiltration dynamics as a cardiovascular risk stratification marker

Article References: Kim, J. S., Jeong, S. J., Yoon, S.-Y., Kim, J. S., Lee, Y. H., Jeong, K. H., & Hwang, H. S. (2026). Renal hyperfiltration dynamics as a cardiovascular risk stratification marker. Scientific Reports. https://doi.org/10.1038/s41598-026-76649-9

Image Credits: AI Generated

DOI: 10.1038/s41598-026-76649-9

Keywords: Renal Hyperfiltration, Cardiovascular Risk, eGFR, Cohort Study, Mortality Risk, Risk Stratification, Kidney Health, Cardiovascular Disease, Renal, hyperfiltration, dynamics, cardiovascular