News Release

Age matters: Kidney disorder indicator gains precision

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

Peer-Reviewed Publication

Osaka Metropolitan University

New definition of hyperfiltration

image: 

New formula for glomerular filtration rate (GFR) takes age into consideration.

view more 

Credit: Osaka Metropolitan University

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.

###

About OMU 

Established in Osaka as one of the largest public universities in Japan, Osaka Metropolitan University is committed to shaping the future of society through “Convergence of Knowledge” and the promotion of world-class research. For more research news, visit https://www.omu.ac.jp/en/ and follow us on social media: XFacebookInstagramLinkedIn.


Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.