Literature DB >> 23869912

Inter-annual variability of urolithiasis epidemic from semi-arid part of Deccan Volcanic Province, India: climatic and hydrogeochemical perspectives.

Sanjay S Kale1, Vikram Shantaram Ghole, N J Pawar, Deepak V Jagtap.   

Abstract

Semi-arid Karha basin from Deccan Volcanic Province, India was investigated for inter-annual variability of urolithiasis epidemic. The number of reported urolith patient, weather station data and groundwater quality results was used to assess impact of geoenvironment on urolithiasis. Data of 7081 urolith patient were processed for epidemiological study. Gender class, age group, year-wise cases and urolith type were studied in epidemiology. Rainfall, temperature, pan evaporation and sunshine hours were used to correlate urolithiasis. Further, average values of groundwater parameters were correlated with the number of urolith episodes. A total of 52 urolith samples were collected from hospitals and analysed using FTIR technique to identify dominant urolith type in study area. Result shows that male population is more prone, age group of 20-40 is more susceptible and calcium oxalate uroliths are dominant in study area. Year-wise distribution revealed that there is steady increase in urolithiasis with inflation in drought years. In climatic parameters, hot days are significantly correlated with urolithiasis. In groundwater quality, EC, Na and F are convincingly correlated with urolith patients, which concludes the strong relation between geo-environment and urolithiasis.

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Year:  2013        PMID: 23869912     DOI: 10.1080/09603123.2013.818105

Source DB:  PubMed          Journal:  Int J Environ Health Res        ISSN: 0960-3123            Impact factor:   3.411


  4 in total

Review 1.  Epidemiology of urolithiasis in Asia.

Authors:  Yu Liu; Yuntian Chen; Banghua Liao; Deyi Luo; Kunjie Wang; Hong Li; Guohua Zeng
Journal:  Asian J Urol       Date:  2018-09-06

2.  Association between metabolic syndrome and calcium oxalate stone risk in Chinese individuals: a nomogram prediction model.

Authors:  Baisuo Wu; Junhao Xie; Junyi Guo; Jinbo Wang; Hongjuan Lang
Journal:  J Int Med Res       Date:  2021-02       Impact factor: 1.671

3.  Trends in the Incidence and DALYs of Urolithiasis From 1990 to 2019: Results From the Global Burden of Disease Study 2019.

Authors:  Shasha Li; Xueying Huang; Jie Liu; Suru Yue; Xuefei Hou; Liren Hu; Jiayuan Wu
Journal:  Front Public Health       Date:  2022-03-04

4.  The impact of daily temperature on renal disease incidence: an ecological study.

Authors:  Matthew Borg; Peng Bi; Monika Nitschke; Susan Williams; Stephen McDonald
Journal:  Environ Health       Date:  2017-10-27       Impact factor: 5.984

  4 in total

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