Literature DB >> 26271351

The potential of at-home prediction of the formation of urolithiasis by simple multi-frequency electrical conductivity of the urine and the comparison of its performance with urine ion-related indices, color and specific gravity.

Angelito A Silverio1, Wen-Yaw Chung1, Cheanyeh Cheng2, Hai-Lung Wang3, Chien-Min Kung3, Jun Chen4, Vincent F S Tsai5,6,7.   

Abstract

It is important to control daily diet, water intake and life style as well as monitor the quality of urine for urolithiasis prevention. For decades, many ion-related indices have been developed for predicting the formation of urinary stones or urolithiasis, such as EQUILs, relative supersaturation (RSS), Tiselius indices (TI), Robertson risk factor algorithms (RRFA) and more recently, the Bonn risk index. However, they mostly demand robust laboratory analysis, are work-intensive, and even require complex computational programs to get the concentration patterns of several urine analytes. A simple and fast platform for measuring multi-frequency electrical conductivity (MFEC) of morning spot urine (random urine) to predict the onset of urolithiasis was implemented in this study. The performance thereof was compared to ion-related indices, urine color and specific gravity. The concentrations of relevant ions, color, specific gravity (SG) and MFEC (MFEC tested at 1, 10, 100, 5001 KHz and 1 MHz) of 80 random urine samples were examined after collection. Then, the urine samples were stored at 4 °C for 24 h to determine whether sedimentation would occur or not. Ion-activity product index of calcium oxalate (AP(CaOx) EQ2) was calculated. The correlation between AP(CaOx) EQ2, urine color, SG and MFEC were analyzed. AP(CaOx) EQ2, urine color and MFEC (at 5 frequencies) all demonstrated good prediction (p = 0.01, 0.01, 0.01, respectively) for stone formation. The positive correlation between AP(CaOx) EQ2 and MFEC is also significant (p = 0.01). MFEC provides a good metric for predicting the onset of urolithiasis, which is comparable to conventional ion-related indices and urine color. This technology can be implemented with much ease for objectively monitoring the quality of urine at points-of-care or at home.

Entities:  

Keywords:  Behavioral modification; Multi-frequency electrical conductivity; Supersaturation; Urolithiasis

Mesh:

Substances:

Year:  2015        PMID: 26271351     DOI: 10.1007/s00240-015-0812-2

Source DB:  PubMed          Journal:  Urolithiasis        ISSN: 2194-7228            Impact factor:   3.436


  31 in total

1.  Assessment of lithogenic risk in children based on a morning spot urine sample.

Authors:  Tadeusz Porowski; Jan K Kirejczyk; Walentyna Zoch-Zwierz; Jerzy Konstantynowicz; Agata Korzeniecka-Kozerska; Radosław Motkowski; Norbert Laube
Journal:  J Urol       Date:  2010-09-18       Impact factor: 7.450

2.  Bonn Risk Index based micromethod for assessing risk of urinary calcium oxalate stone formation.

Authors:  T Porowski; P Mrozek; J Sidun; W Zoch-Zwierz; J Konstantynowicz; J K Kirejczyk; R Motkowski; N Laube
Journal:  J Urol       Date:  2010-01-22       Impact factor: 7.450

3.  Quantification of chromatographic effects of vitamin B supplementation in urine and implications for hydration assessment.

Authors:  Robert W Kenefick; K R Heavens; W E Dennis; E M Caruso; K I Guerriere; N Charkoudian; S N Cheuvront
Journal:  J Appl Physiol (1985)       Date:  2015-05-14

4.  Effects of urine dilution on quantity, size and aggregation of calcium oxalate crystals induced in vitro by an oxalate load.

Authors:  Angela Guerra; Franca Allegri; Tiziana Meschi; Giuditta Adorni; Beatrice Prati; Antonio Nouvenne; Almerico Novarini; Umberto Maggiore; Enrico Fiaccadori; Loris Borghi
Journal:  Clin Chem Lab Med       Date:  2005       Impact factor: 3.694

5.  Urinary indices of hydration status.

Authors:  L E Armstrong; C M Maresh; J W Castellani; M F Bergeron; R W Kenefick; K E LaGasse; D Riebe
Journal:  Int J Sport Nutr       Date:  1994-09

6.  The financial effects of kidney stone prevention.

Authors:  J H Parks; F L Coe
Journal:  Kidney Int       Date:  1996-11       Impact factor: 10.612

7.  Prevalence of kidney stones in the United States.

Authors:  Charles D Scales; Alexandria C Smith; Janet M Hanley; Christopher S Saigal
Journal:  Eur Urol       Date:  2012-03-31       Impact factor: 20.096

8.  An update on metabolic assessment in patients with urinary lithiasis.

Authors:  Carmen Regina Petean Ruiz Amaro; Jose Goldberg; Patricia Capuzzo Damasio; Victor Augusto Leitão; Benjamin Turney; Carlos Roberto Padovani; João Luiz Amaro
Journal:  World J Urol       Date:  2014-03-13       Impact factor: 4.226

9.  Comparison of semi-empirical and computer derived methods for estimating urinary saturation of brushite.

Authors:  Charles Y C Pak; Orson W Moe; Naim M Maalouf; Joseph E Zerwekh; John R Poindexter; Beverley Adams-Huet
Journal:  J Urol       Date:  2009-01-20       Impact factor: 7.450

10.  Urinary tract stone raises subsequent risk for urinary tract cancer: a population-based cohort study.

Authors:  Li-Min Sun; Cheng-Li Lin; Yen-Jung Chang; Ji-An Liang; Shu-Hui Liu; Fung-Chang Sung; Chia-Hung Kao
Journal:  BJU Int       Date:  2013-12       Impact factor: 5.588

View more
  1 in total

1.  Urine and stone analysis for the investigation of the renal stone former: a consensus conference.

Authors:  James C Williams; Giovanni Gambaro; Allen Rodgers; John Asplin; Olivier Bonny; Antonia Costa-Bauzá; Pietro Manuel Ferraro; Giovanni Fogazzi; Daniel G Fuster; David S Goldfarb; Félix Grases; Ita P Heilberg; Dik Kok; Emmanuel Letavernier; Giuseppe Lippi; Martino Marangella; Antonio Nouvenne; Michele Petrarulo; Roswitha Siener; Hans-Göran Tiselius; Olivier Traxer; Alberto Trinchieri; Emanuele Croppi; William G Robertson
Journal:  Urolithiasis       Date:  2020-10-13       Impact factor: 3.436

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.