TY - JOUR
T1 - Predictors of Symptomatic Kidney Stone Recurrence After the First and Subsequent Episodes
AU - Vaughan, Lisa E.
AU - Enders, Felicity T.
AU - Lieske, John C.
AU - Pais, Vernon M.
AU - Rivera, Marcelino E.
AU - Mehta, Ramila A.
AU - Vrtiska, Terri J.
AU - Rule, Andrew D.
N1 - Funding Information:
Grant Support: This study was made possible by the Rochester Epidemiology Project (grant no. R01-AG034676; Principal Investigators: Walter A. Rocca, MD, MPH, and Jennifer L. St Sauver, PhD). This project was also supported by grants DK100227 and DK83007 from the National Institute of Diabetes and Digestive and Kidney Diseases. The funding sources had no role in the study design, conduct, or reporting.Potential Competing Interests: Dr Enders has received grants from the National Institutes of Health and travel/accommodations/meeting expenses from the University of Palermo, the University of Panama, and the University of Puerto Rico. Dr Lieske has received grants from the National Institute of Diabetes and Digestive and Kidney Diseases, Alnylam, Allena, Retrophin, and OxThera. Dr Rule has received grants from the National Institutes of Health/National Institute of Diabetes and Digestive and Kidney Diseases and royalties from UpToDate. The rest of the authors report no competing interests.
Publisher Copyright:
© 2018 Mayo Foundation for Medical Education and Research
PY - 2019/2
Y1 - 2019/2
N2 - Objective: To predict symptomatic recurrence among community stone formers with one or more previous stone episodes. Patients and Methods: A random sample of incident symptomatic kidney stone formers in Olmsted County, Minnesota, was followed for all symptomatic stone episodes resulting in clinical care from January 1, 1984, through January 31, 2017. Clinical and radiographic characteristics at each stone episode predictive of subsequent episodes were identified. Results: There were 3364 incident kidney stone formers with 4951 episodes. The stone recurrence rates per 100 person-years were 3.4 (95% CI, 3.2-3.7) after the first episode, 7.1 (95% CI, 6.4-7.9) after the second episode, 12.1 (95% CI, 10.3-13.9) after the third episode, and 17.6 (95% CI, 15.1-20.0) after the fourth or higher episode (P<.001 for trend). A parsimonious model identified the following independent risk factors for recurrence: younger age; male sex; higher body mass index; family history of stones; pregnancy; incident asymptomatic stone on imaging before the first episode; suspected stone episode before the first episode; history of a brushite, struvite, or uric acid stone; no history of calcium oxalate monohydrate stone; kidney pelvic or lower pole stone on imaging; no ureterovesical junction stone on imaging; number of kidney stones on imaging; and diameter of the largest kidney stone on imaging. The model had a C-index corrected for optimism of 0.681 and was used to develop a prediction tool. The risk of recurrence in 5 years ranged from 0.9% to 94%, depending on risk factors, number of past episodes, and years since the last episode. Conclusion: The revised Recurrence Of Kidney Stone tool predicts the risk of symptomatic recurrence by using readily available clinical characteristics of stone formers.
AB - Objective: To predict symptomatic recurrence among community stone formers with one or more previous stone episodes. Patients and Methods: A random sample of incident symptomatic kidney stone formers in Olmsted County, Minnesota, was followed for all symptomatic stone episodes resulting in clinical care from January 1, 1984, through January 31, 2017. Clinical and radiographic characteristics at each stone episode predictive of subsequent episodes were identified. Results: There were 3364 incident kidney stone formers with 4951 episodes. The stone recurrence rates per 100 person-years were 3.4 (95% CI, 3.2-3.7) after the first episode, 7.1 (95% CI, 6.4-7.9) after the second episode, 12.1 (95% CI, 10.3-13.9) after the third episode, and 17.6 (95% CI, 15.1-20.0) after the fourth or higher episode (P<.001 for trend). A parsimonious model identified the following independent risk factors for recurrence: younger age; male sex; higher body mass index; family history of stones; pregnancy; incident asymptomatic stone on imaging before the first episode; suspected stone episode before the first episode; history of a brushite, struvite, or uric acid stone; no history of calcium oxalate monohydrate stone; kidney pelvic or lower pole stone on imaging; no ureterovesical junction stone on imaging; number of kidney stones on imaging; and diameter of the largest kidney stone on imaging. The model had a C-index corrected for optimism of 0.681 and was used to develop a prediction tool. The risk of recurrence in 5 years ranged from 0.9% to 94%, depending on risk factors, number of past episodes, and years since the last episode. Conclusion: The revised Recurrence Of Kidney Stone tool predicts the risk of symptomatic recurrence by using readily available clinical characteristics of stone formers.
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U2 - 10.1016/j.mayocp.2018.09.016
DO - 10.1016/j.mayocp.2018.09.016
M3 - Article
C2 - 30527866
AN - SCOPUS:85060727911
SN - 0025-6196
VL - 94
SP - 202
EP - 210
JO - Mayo Clinic Proceedings
JF - Mayo Clinic Proceedings
IS - 2
ER -