Age matters: Kidney disorder indicator gains precision

New formula for hyperfiltration and glomerular filtration rate takes natural decline into account

New definition of hyperfiltration: New formula for glomerular filtration rate (GFR) takes age into consideration.

Annual health checkups regularly include urine tests that serve several purposes, including checking for symptoms of kidney disease. The presence of albumin in the urine is one indicator as is glomerular filtration rate. In diabetic nephropathy, albuminuria first appears, leading to excessive filtration and eventually a decrease in GFR.

In the elderly, however, excessive filtration cannot be detected due to age-related GFR decline. To accurately assess GFR, Osaka Metropolitan University researchers have come up with a new calculation method.

The group led by Dr. Akihiro Tsuda, a lecturer at the Graduate School of Medicine, assessed 180 kidney transplant donor candidates to define a new formula for determining the threshold value for hyperfiltration based on age and GFR values.

Among other findings, the conventional method of correcting for body surface area in obese patients was determined to be inaccurate as excessive filtration cannot be detected. The researchers suggest calculating GFR without the correction but by taking into account the decline in the filtration rate due to aging.

“Since hyperfiltration is a precursor to diabetic nephropathy, we hope that using this new formula will more accurately diagnose the condition, leading to early detection and treatment,” stated Dr. Tsuda.

The findings were published in Hypertension Research.

 

Conflict of interest

The authors declare no competing interests.

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Published: 06 Jan 2025

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Journal: Hypertension Research
Title: Definition of hyperfiltration taking into account age-related decline in renal function in kidney donor candidates with obesity and glucose tolerance disorder
DOI: 10.1038/s41440-024-02020-y
Author(s): Akihiro Tsuda, Katsuhito Mori, Hideki Uedono, Shinya Nakatani, Yuki Nagata, Masafumi Kurajoh, Shinsuke Yamada, Tomoaki Morioka, Eiji Ishimura, Junji Uchida, Masanori Emoto
Publication date: 12 December 2024
URL: https://doi.org/10.1038/s41440-024-02020-y