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Calcium-creatinine ratio in a morning urine sample for the estimation of hypercalciuria associated with non-glomerular hematuria observed in children and adolescents.

Overview of attention for article published in Boletín Médico del Hospital Infantil de México, January 2019
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Title
Calcium-creatinine ratio in a morning urine sample for the estimation of hypercalciuria associated with non-glomerular hematuria observed in children and adolescents.
Published in
Boletín Médico del Hospital Infantil de México, January 2019
DOI 10.24875/bmhim.m18000006
Pubmed ID
Authors

Susana Quiñones-Vázquez, María Del Rosario Liriano-Ricabal, Sergio Santana-Porbén, José Reinaldo Salabarría-González

Abstract

Hypercalciuria might be revealed during the differential diagnosis of hematuria accompanying renal lithiasis (RL). In spite of this, diagnostic accuracy of calcium urinary excretion might be affected by incomplete 24-hour urine collections. In the present study, the diagnostic utility of calcium/creatinine (ICaCre) index for determining hypercalciuria associated with non-glomerular hematuria (NGH) and RL was assessed. ICaCre (mg/mg) index was calculated from calcium (mmol/l) and creatinine (µmol/l) concentrations in an aliquot from a 24-hour urine collection in 169 children and adolescents with NGH or RL. Calciuria values > 4.0 mg/kg in 24 hours were distributed according to the presence of NGH or RL. Mean ICaCre index was 0.2 ± 0.1 mg/mg. Calciuria values estimated from ICaCre were statistically higher to those from 24-hour urine collection (p < 0.05). The frequency of hypercalciuria was independent from the measurement method (estimated from ICaCre 39.5% vs. 24 h collection 32.1%; p > 0.05). Hypercalciuria distribution was as follows: no NGH + no RL: 59.0%; no NGH + RL: 60.0% (∆ = +1.0%); NGH + no RL: 68.2% (∆ = +9.2%); NGH + RL: 73.3% (∆ = +14.4%). The use of ICaCre index for determining calcium urine excretion might be effective in the study of hypercalciuria associated with NGH and RL.

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Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 13%
Student > Doctoral Student 1 13%
Lecturer > Senior Lecturer 1 13%
Unknown 5 63%
Readers by discipline Count As %
Medicine and Dentistry 2 25%
Engineering 1 13%
Unknown 5 63%