Prediction Tool Identifies Risk for Recurrent Kidney Stone Formation

Researchers from the Mayo Clinic in Rochester, Minnesota, recently described a new tool that can be used to predict which patients with recurring kidney stones are at the highest risk of remission. According to an article in Medical News Today, the Mayo researchers utilized 1984-2017 data from the Rochester Epidemiology Project that focused on chronic kidney stone formers from Olmsted County, Minnesota, representing 3364 patients with a total of 4951 stone-forming episodes.

With the identification of individuals most likely to experience repeat kidney stones, some patterns emerged; repeat stone formers tended to be male and younger and have higher body mass index. A family history of kidney stones and previous pregnancies are also risk factors for forming repeat stones.

An earlier tool that used 11 factors to predict the risk of repeat stone forming did not perform well on patients who had previously experienced ≥2 occurrences. The updated tool uses 13 independent predictors, including questions about sex, kidney stone history, and race, that extend the tool’s use and increase its prediction accuracy.

Victoria Socha is editor of the Nephrology section of DocWire News. She has more than 15 years’ experience in editing and writing on news and innovations in medicine, and has served as managing editor of Nephrology Times for more than five years.