Literature DB >> 12853781

Gender differences in seasonal variation of urine stone risk factors.

Joan H Parks1, Robert Barsky, Frederic L Coe.   

Abstract

PURPOSE: We determined whether men and women differ in urine stone risk factors during the 4 seasons of the year.
MATERIALS AND METHODS: Measurements from 28,498, 24-hour urines from stone forming patients prior to treatment were analyzed to determine whether monthly variation was significant and whether the sexes differed using ANOVA. Locations of supersaturation maxima were determined.
RESULTS: The 2 sexes showed modest sodium depletion in summer with a corresponding decrease in urine calcium but men showed a remarkable decrease in urine volume, causing high calcium oxalate supersaturation. Women had maximum calcium oxalate supersaturation in early winter because of decreasing urine volume and increasing urine calcium excretion. Urine pH was reduced in the 2 sexes during summer but the decrease was far more marked in men, who had a uric acid supersaturation spike.
PURPOSE: Overall the sexes differ markedly in the timing of stone risk. Men show a dual summer calcium oxalate and uric acid high risk, while women show a high early winter calcium oxalate high risk.

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Year:  2003        PMID: 12853781     DOI: 10.1097/01.ju.0000071721.91229.27

Source DB:  PubMed          Journal:  J Urol        ISSN: 0022-5347            Impact factor:   7.450


  15 in total

Review 1.  Kidney stones.

Authors:  Malvinder S Parmar
Journal:  BMJ       Date:  2004-06-12

2.  Daily ambient temperature and renal colic incidence in Guangzhou, China: a time-series analysis.

Authors:  Changyuan Yang; Xinyu Chen; Renjie Chen; Jing Cai; Xia Meng; Yue Wan; Haidong Kan
Journal:  Int J Biometeorol       Date:  2015-11-19       Impact factor: 3.787

3.  The effect of climate variability on urinary stone attacks: increased incidence associated with temperature over 18 °C: a population-based study.

Authors:  Hyoung Keun Park; Sang Rak Bae; Satbyul E Kim; Woo Suk Choi; Sung Hyun Paick; Kim Ho; Hyeong Gon Kim; Yong Soo Lho
Journal:  Urolithiasis       Date:  2014-11-19       Impact factor: 3.436

4.  Problems in the metabolic evaluation of renal stone disease: audit of intra-individual variation in urine metabolites.

Authors:  Pallavoor S Anandaram; Alan R De Bolla; Peter R Hudson; Gareth K Davies; Purnendu Majumdar; Clive P Williams
Journal:  Urol Res       Date:  2006-05-06

5.  Assessment of the combination of temperature and relative humidity on kidney stone presentations.

Authors:  Michelle E Ross; Ana M Vicedo-Cabrera; Robert E Kopp; Lihai Song; David S Goldfarb; Jose Pulido; Steven Warner; Susan L Furth; Gregory E Tasian
Journal:  Environ Res       Date:  2017-12-28       Impact factor: 6.498

6.  Stone composition as a function of age and sex.

Authors:  John C Lieske; Andrew D Rule; Amy E Krambeck; James C Williams; Eric J Bergstralh; Ramila A Mehta; Thomas P Moyer
Journal:  Clin J Am Soc Nephrol       Date:  2014-10-02       Impact factor: 8.237

7.  Sex differences in the temperature dependence of kidney stone presentations: a population-based aggregated case-crossover study.

Authors:  Ana M Vicedo-Cabrera; David S Goldfarb; Robert E Kopp; Lihai Song; Gregory E Tasian
Journal:  Urolithiasis       Date:  2019-03-21       Impact factor: 3.436

Review 8.  Epidemiological gender-specific aspects in urolithiasis.

Authors:  Christian Seitz; Harun Fajkovic
Journal:  World J Urol       Date:  2013-08-13       Impact factor: 4.226

9.  Daily mean temperature and clinical kidney stone presentation in five U.S. metropolitan areas: a time-series analysis.

Authors:  Gregory E Tasian; Jose E Pulido; Antonio Gasparrini; Christopher S Saigal; Benjamin P Horton; J Richard Landis; Rodger Madison; Ron Keren
Journal:  Environ Health Perspect       Date:  2014-07-10       Impact factor: 9.031

10.  Factors associated with 24-hour urinary volume: the Swiss salt survey.

Authors:  Tobias Schoen; Jonas Blum; Fred Paccaud; Michel Burnier; Murielle Bochud; David Conen
Journal:  BMC Nephrol       Date:  2013-11-07       Impact factor: 2.388

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