Cargando…

Predictive factors and treatment outcomes of Steinstrasse following shock wave lithotripsy for ureteral calculi: A Bayesian regression model analysis

PURPOSE: This study aims to assess the predictive factors and treatment outcomes of Steinstrasse formation following shock wave lithotripsy (SWL) for ureter stone. MATERIALS AND METHODS: The medical records of 1,418 ureter stone patients who underwent one-session SWL from November 2005 to May 2013 a...

Descripción completa

Detalles Bibliográficos
Autores principales: Kang, Ho Won, Cho, Kang Su, Ham, Won Sik, Kang, Dong Hyuk, Jung, Hae Do, Kwon, Jong Kyou, Choi, Young Deuk, Lee, Joo Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Urological Association 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5840115/
https://www.ncbi.nlm.nih.gov/pubmed/29520387
http://dx.doi.org/10.4111/icu.2018.59.2.112
_version_ 1783304509025419264
author Kang, Ho Won
Cho, Kang Su
Ham, Won Sik
Kang, Dong Hyuk
Jung, Hae Do
Kwon, Jong Kyou
Choi, Young Deuk
Lee, Joo Yong
author_facet Kang, Ho Won
Cho, Kang Su
Ham, Won Sik
Kang, Dong Hyuk
Jung, Hae Do
Kwon, Jong Kyou
Choi, Young Deuk
Lee, Joo Yong
author_sort Kang, Ho Won
collection PubMed
description PURPOSE: This study aims to assess the predictive factors and treatment outcomes of Steinstrasse formation following shock wave lithotripsy (SWL) for ureter stone. MATERIALS AND METHODS: The medical records of 1,418 ureter stone patients who underwent one-session SWL from November 2005 to May 2013 at our medical institute were retrospectively reviewed. Finally, 551 patients met inclusion criteria. Maximal length and location of stone, stone attenuation (Hounsfield units), and skin-to-stone distance (SSD) were determined on pretreatment non-contrast computed tomography. RESULTS: Of 551 patients, 12 patients (2.2% of total cohort) developed Steinstrasse after one-session SWL. The Steinstrasse incidence was significantly associated with stone size, stone attenuation value, and SSD. Prophylactic ureter stenting was not a statistically significant predictor of Steinstrasse formation. After propensity-score matching, Steinstrasse group showed a significant shorter SSD compare to non-Steinstrasse group. Multivariate logistic regression and Bayesian analysis revealed that stone size, stone attenuation and SSD were significant predictor of Steinstrasse formation following SWL for ureter stone. The Steinstrasse resolved spontaneously in six patients and remaining six patients were treated by additional SWL. None of patients with Steinstrasse required ureteral stenting, percutaneous drainage, or consequent surgical intervention. CONCLUSIONS: Steinstrasse formation following SWL for ureter stone was rare event but nonnegligible. Large stone size, high stone attenuation and short SSD were significant predictors of Steinstrasse formation following SWL for ureter stone. Majority of patients with Steinstrasse formation could be treated conservatively in this clinical scenario.
format Online
Article
Text
id pubmed-5840115
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher The Korean Urological Association
record_format MEDLINE/PubMed
spelling pubmed-58401152018-03-08 Predictive factors and treatment outcomes of Steinstrasse following shock wave lithotripsy for ureteral calculi: A Bayesian regression model analysis Kang, Ho Won Cho, Kang Su Ham, Won Sik Kang, Dong Hyuk Jung, Hae Do Kwon, Jong Kyou Choi, Young Deuk Lee, Joo Yong Investig Clin Urol Original Article PURPOSE: This study aims to assess the predictive factors and treatment outcomes of Steinstrasse formation following shock wave lithotripsy (SWL) for ureter stone. MATERIALS AND METHODS: The medical records of 1,418 ureter stone patients who underwent one-session SWL from November 2005 to May 2013 at our medical institute were retrospectively reviewed. Finally, 551 patients met inclusion criteria. Maximal length and location of stone, stone attenuation (Hounsfield units), and skin-to-stone distance (SSD) were determined on pretreatment non-contrast computed tomography. RESULTS: Of 551 patients, 12 patients (2.2% of total cohort) developed Steinstrasse after one-session SWL. The Steinstrasse incidence was significantly associated with stone size, stone attenuation value, and SSD. Prophylactic ureter stenting was not a statistically significant predictor of Steinstrasse formation. After propensity-score matching, Steinstrasse group showed a significant shorter SSD compare to non-Steinstrasse group. Multivariate logistic regression and Bayesian analysis revealed that stone size, stone attenuation and SSD were significant predictor of Steinstrasse formation following SWL for ureter stone. The Steinstrasse resolved spontaneously in six patients and remaining six patients were treated by additional SWL. None of patients with Steinstrasse required ureteral stenting, percutaneous drainage, or consequent surgical intervention. CONCLUSIONS: Steinstrasse formation following SWL for ureter stone was rare event but nonnegligible. Large stone size, high stone attenuation and short SSD were significant predictors of Steinstrasse formation following SWL for ureter stone. Majority of patients with Steinstrasse formation could be treated conservatively in this clinical scenario. The Korean Urological Association 2018-03 2018-02-01 /pmc/articles/PMC5840115/ /pubmed/29520387 http://dx.doi.org/10.4111/icu.2018.59.2.112 Text en © The Korean Urological Association, 2018 http://creativecommons.org/licenses/by-nc/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Kang, Ho Won
Cho, Kang Su
Ham, Won Sik
Kang, Dong Hyuk
Jung, Hae Do
Kwon, Jong Kyou
Choi, Young Deuk
Lee, Joo Yong
Predictive factors and treatment outcomes of Steinstrasse following shock wave lithotripsy for ureteral calculi: A Bayesian regression model analysis
title Predictive factors and treatment outcomes of Steinstrasse following shock wave lithotripsy for ureteral calculi: A Bayesian regression model analysis
title_full Predictive factors and treatment outcomes of Steinstrasse following shock wave lithotripsy for ureteral calculi: A Bayesian regression model analysis
title_fullStr Predictive factors and treatment outcomes of Steinstrasse following shock wave lithotripsy for ureteral calculi: A Bayesian regression model analysis
title_full_unstemmed Predictive factors and treatment outcomes of Steinstrasse following shock wave lithotripsy for ureteral calculi: A Bayesian regression model analysis
title_short Predictive factors and treatment outcomes of Steinstrasse following shock wave lithotripsy for ureteral calculi: A Bayesian regression model analysis
title_sort predictive factors and treatment outcomes of steinstrasse following shock wave lithotripsy for ureteral calculi: a bayesian regression model analysis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5840115/
https://www.ncbi.nlm.nih.gov/pubmed/29520387
http://dx.doi.org/10.4111/icu.2018.59.2.112
work_keys_str_mv AT kanghowon predictivefactorsandtreatmentoutcomesofsteinstrassefollowingshockwavelithotripsyforureteralcalculiabayesianregressionmodelanalysis
AT chokangsu predictivefactorsandtreatmentoutcomesofsteinstrassefollowingshockwavelithotripsyforureteralcalculiabayesianregressionmodelanalysis
AT hamwonsik predictivefactorsandtreatmentoutcomesofsteinstrassefollowingshockwavelithotripsyforureteralcalculiabayesianregressionmodelanalysis
AT kangdonghyuk predictivefactorsandtreatmentoutcomesofsteinstrassefollowingshockwavelithotripsyforureteralcalculiabayesianregressionmodelanalysis
AT junghaedo predictivefactorsandtreatmentoutcomesofsteinstrassefollowingshockwavelithotripsyforureteralcalculiabayesianregressionmodelanalysis
AT kwonjongkyou predictivefactorsandtreatmentoutcomesofsteinstrassefollowingshockwavelithotripsyforureteralcalculiabayesianregressionmodelanalysis
AT choiyoungdeuk predictivefactorsandtreatmentoutcomesofsteinstrassefollowingshockwavelithotripsyforureteralcalculiabayesianregressionmodelanalysis
AT leejooyong predictivefactorsandtreatmentoutcomesofsteinstrassefollowingshockwavelithotripsyforureteralcalculiabayesianregressionmodelanalysis