Results 31 to 40 of about 2,607,584 (335)
Lanthanum carbonate to control plasma and urinary oxalate level in type 1 primary hyperoxaluria?
IJU Case Reports, 2021 Introduction The therapy to reduce urinary oxalate excretion in primary hyperoxaluria type 1 is still required. Case presentation A 37‐year‐old hemodialyzed man suffered from systemic oxalosis secondary to primary hyperoxaluria type 1 exhibited a drastic
Agnieszka Pozdzik +4 more
doaj +1 more source
Frontiers in Immunology, 2023 Background The incidence rate of kidney stones increased over the past decades globally, which brought medical expenditure and social burden. The systemic immune-inflammatory index (SII) was initially identified as a prognosis of multiple diseases.
Xingpeng Di +3 more
semanticscholar +1 more source
Metabolic changes in kidney stone disease
Frontiers in Immunology, 2023 Kidney stone disease (KSD) is one of the earliest medical diseases known, but the mechanism of its formation and metabolic changes remain unclear. The formation of kidney stones is a extensive and complicated process, which is regulated by metabolic ...
Zhenzhen Xu +4 more
semanticscholar +1 more source
Risk factors for kidney stone disease recurrence: a comprehensive meta-analysis
BMC Urology, 2022 Background Kidney stone disease (KSD) is a common illness that causes an economic burden globally. It is easy for patients to relapse once they have suffered from this disease. The reported recurrence rate of KSD ranged from 6.1% to 66.9%.
Kai Wang +12 more
semanticscholar +1 more source
Metabolic evaluation and medical management of staghorn calculi
Asian Journal of Urology, 2020 Staghorn renal calculi are large renal calculi that occupy nearly the entirety of the renal collecting system. They may be composed of metabolic or infection stone types. They are often associated with specific metabolic defects.
Russell S. Terry, Glenn M. Preminger
doaj +1 more source
Routine Urinary Biochemistry Does Not Accurately Predict Stone Type Nor Recurrence in Kidney Stone Formers: A Multi-Centre, Multi-Model, Externally Validated Machine-Learning Study. [PDF]
, 2023 OBJECTIVES Urinary biochemistry is used to detect and monitor conditions associated with recurrent kidney stones. There are no predictive machine learning (ML) tools for kidney stone type or recurrence.
Kennedy, David +14 more
core +1 more source
Journal of the American Society of Nephrology, 2023 Visual Abstract Significance Statement Kidney stone disease is a common disorder with poorly understood pathophysiology. Observational and genetic studies indicate that adiposity is associated with an increased risk of kidney stone disease.
C. Lovegrove +16 more
semanticscholar +1 more source
Healthcare, 2023 In the past two decades, major breakthroughs that improve our understanding of the pathophysiology and therapy of kidney stones (KS) have been lacking. The disease continues to be challenging for patients, physicians, and healthcare systems alike. In this context, epidemiological studies are striving to elucidate the worldwide changes in the patterns ...
Kyriaki Stamatelou, David S. Goldfarb
openaire +2 more sources
Oxalate as a potent promoter of kidney stone formation
Frontiers in Medicine, 2023 Kidney stones are among the most prevalent urological diseases, with a high incidence and recurrence rate. Treating kidney stones has been greatly improved by the development of various minimally invasive techniques.
Tao Chen +7 more
semanticscholar +1 more source
JAMA Network Open, 2023 Key Points Question Are thiazide diuretics associated with reduced risk of kidney stones? Findings In this genetic association study of up to 1 079 657 adults, genetic proxies of thiazide diuretics were associated with a statistically significant 15 ...
J. L. Triozzi +9 more
semanticscholar +1 more source