Literature DB >> 31132427

Influence of Socioeconomic Factors on Stone Burden at Presentation to Tertiary Referral Center: Data From the Registry for Stones of the Kidney and Ureter.

David B Bayne1, Manint Usawachintachit2, Manuel Armas-Phan3, David T Tzou4, Scott Wiener3, Timothy T Brown5, Marshall Stoller3, Thomas L Chi3.   

Abstract

OBJECTIVE: To determine social factors associated with advanced stone disease (defined as unilateral stone burden >2 cm) at time of presentation to a regional stone referral center. Little is known about social determinants of urolithiasis. We hypothesize that socioeconomic factors impact kidney stone severity at intake to referral centers.
METHODS: A retrospective review of the prospectively collected data from the Registry for Stones of the Kidney and Ureter from 2015 to 2018 was conducted to evaluate patient characteristics predictive of having a large (>2 cm) unilateral kidney stone. Data on patient age, gender, body mass index, diabetes, race, language, education level, infection, distance, income, referring regional urologist density, American Society of Anesthesiologists score, and stone analysis were evaluated.
RESULTS: Complete imaging and patient variable data was present in 650 of 1142 patients including 197 patients with unilateral stone burden >2 cm. On multivariate analysis, obesity, lower education level, increased distance from the referral center, and symptoms of infection predicted for unilateral stone burden greater than 2 cm. Among 191 patients with stone analysis data present, stone type, income, and urologist density predicted for unilateral stone burden greater than 2 cm.
CONCLUSION: In addition to known biological risk factors, patients with lower education levels and from regions of lower mean income were found to be more likely to present to our tertiary care center with stone burden greater than 2 cm. More research is needed to elucidate the social and societal determinants of advanced stone disease and the impact this has on population costs for stone treatment. Published by Elsevier Inc.

Entities:  

Mesh:

Year:  2019        PMID: 31132427      PMCID: PMC6711808          DOI: 10.1016/j.urology.2019.05.009

Source DB:  PubMed          Journal:  Urology        ISSN: 0090-4295            Impact factor:   2.649


  1 in total

1.  Low Urologist Density Predicts High-Cost Surgical Treatment of Stone Disease.

Authors:  David B Bayne; Manuel Armas-Phan; Sudarshan Srirangapatanam; Justin Ahn; Timothy T Brown; Marshall Stoller; Thomas L Chi
Journal:  J Endourol       Date:  2020-11-06       Impact factor: 2.942

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.