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Impact of Colic Pain as a Significant Factor for Predicting the Stone Free Rate of One-Session Shock Wave Lithotripsy for Treating Ureter Stones: A Bayesian Logistic Regression Model Analysis

PURPOSE: This study was conducted to evaluate colic pain as a prognostic pretreatment factor that can influence ureter stone clearance and to estimate the probability of stone-free status in shock wave lithotripsy (SWL) patients with a ureter stone. MATERIALS AND METHODS: We retrospectively reviewed...

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Autores principales: Chung, Doo Yong, Cho, Kang Su, Lee, Dae Hun, Han, Jang Hee, Kang, Dong Hyuk, Jung, Hae Do, Kown, Jong Kyou, Ham, Won Sik, Choi, Young Deuk, Lee, Joo Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4406693/
https://www.ncbi.nlm.nih.gov/pubmed/25902059
http://dx.doi.org/10.1371/journal.pone.0123800
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author Chung, Doo Yong
Cho, Kang Su
Lee, Dae Hun
Han, Jang Hee
Kang, Dong Hyuk
Jung, Hae Do
Kown, Jong Kyou
Ham, Won Sik
Choi, Young Deuk
Lee, Joo Yong
author_facet Chung, Doo Yong
Cho, Kang Su
Lee, Dae Hun
Han, Jang Hee
Kang, Dong Hyuk
Jung, Hae Do
Kown, Jong Kyou
Ham, Won Sik
Choi, Young Deuk
Lee, Joo Yong
author_sort Chung, Doo Yong
collection PubMed
description PURPOSE: This study was conducted to evaluate colic pain as a prognostic pretreatment factor that can influence ureter stone clearance and to estimate the probability of stone-free status in shock wave lithotripsy (SWL) patients with a ureter stone. MATERIALS AND METHODS: We retrospectively reviewed the medical records of 1,418 patients who underwent their first SWL between 2005 and 2013. Among these patients, 551 had a ureter stone measuring 4–20 mm and were thus eligible for our analyses. The colic pain as the chief complaint was defined as either subjective flank pain during history taking and physical examination. Propensity-scores for established for colic pain was calculated for each patient using multivariate logistic regression based upon the following covariates: age, maximal stone length (MSL), and mean stone density (MSD). Each factor was evaluated as predictor for stone-free status by Bayesian and non-Bayesian logistic regression model. RESULTS: After propensity-score matching, 217 patients were extracted in each group from the total patient cohort. There were no statistical differences in variables used in propensity- score matching. One-session success and stone-free rate were also higher in the painful group (73.7% and 71.0%, respectively) than in the painless group (63.6% and 60.4%, respectively). In multivariate non-Bayesian and Bayesian logistic regression models, a painful stone, shorter MSL, and lower MSD were significant factors for one-session stone-free status in patients who underwent SWL. CONCLUSIONS: Colic pain in patients with ureter calculi was one of the significant predicting factors including MSL and MSD for one-session stone-free status of SWL.
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spelling pubmed-44066932015-05-07 Impact of Colic Pain as a Significant Factor for Predicting the Stone Free Rate of One-Session Shock Wave Lithotripsy for Treating Ureter Stones: A Bayesian Logistic Regression Model Analysis Chung, Doo Yong Cho, Kang Su Lee, Dae Hun Han, Jang Hee Kang, Dong Hyuk Jung, Hae Do Kown, Jong Kyou Ham, Won Sik Choi, Young Deuk Lee, Joo Yong PLoS One Research Article PURPOSE: This study was conducted to evaluate colic pain as a prognostic pretreatment factor that can influence ureter stone clearance and to estimate the probability of stone-free status in shock wave lithotripsy (SWL) patients with a ureter stone. MATERIALS AND METHODS: We retrospectively reviewed the medical records of 1,418 patients who underwent their first SWL between 2005 and 2013. Among these patients, 551 had a ureter stone measuring 4–20 mm and were thus eligible for our analyses. The colic pain as the chief complaint was defined as either subjective flank pain during history taking and physical examination. Propensity-scores for established for colic pain was calculated for each patient using multivariate logistic regression based upon the following covariates: age, maximal stone length (MSL), and mean stone density (MSD). Each factor was evaluated as predictor for stone-free status by Bayesian and non-Bayesian logistic regression model. RESULTS: After propensity-score matching, 217 patients were extracted in each group from the total patient cohort. There were no statistical differences in variables used in propensity- score matching. One-session success and stone-free rate were also higher in the painful group (73.7% and 71.0%, respectively) than in the painless group (63.6% and 60.4%, respectively). In multivariate non-Bayesian and Bayesian logistic regression models, a painful stone, shorter MSL, and lower MSD were significant factors for one-session stone-free status in patients who underwent SWL. CONCLUSIONS: Colic pain in patients with ureter calculi was one of the significant predicting factors including MSL and MSD for one-session stone-free status of SWL. Public Library of Science 2015-04-22 /pmc/articles/PMC4406693/ /pubmed/25902059 http://dx.doi.org/10.1371/journal.pone.0123800 Text en © 2015 Chung et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Chung, Doo Yong
Cho, Kang Su
Lee, Dae Hun
Han, Jang Hee
Kang, Dong Hyuk
Jung, Hae Do
Kown, Jong Kyou
Ham, Won Sik
Choi, Young Deuk
Lee, Joo Yong
Impact of Colic Pain as a Significant Factor for Predicting the Stone Free Rate of One-Session Shock Wave Lithotripsy for Treating Ureter Stones: A Bayesian Logistic Regression Model Analysis
title Impact of Colic Pain as a Significant Factor for Predicting the Stone Free Rate of One-Session Shock Wave Lithotripsy for Treating Ureter Stones: A Bayesian Logistic Regression Model Analysis
title_full Impact of Colic Pain as a Significant Factor for Predicting the Stone Free Rate of One-Session Shock Wave Lithotripsy for Treating Ureter Stones: A Bayesian Logistic Regression Model Analysis
title_fullStr Impact of Colic Pain as a Significant Factor for Predicting the Stone Free Rate of One-Session Shock Wave Lithotripsy for Treating Ureter Stones: A Bayesian Logistic Regression Model Analysis
title_full_unstemmed Impact of Colic Pain as a Significant Factor for Predicting the Stone Free Rate of One-Session Shock Wave Lithotripsy for Treating Ureter Stones: A Bayesian Logistic Regression Model Analysis
title_short Impact of Colic Pain as a Significant Factor for Predicting the Stone Free Rate of One-Session Shock Wave Lithotripsy for Treating Ureter Stones: A Bayesian Logistic Regression Model Analysis
title_sort impact of colic pain as a significant factor for predicting the stone free rate of one-session shock wave lithotripsy for treating ureter stones: a bayesian logistic regression model analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4406693/
https://www.ncbi.nlm.nih.gov/pubmed/25902059
http://dx.doi.org/10.1371/journal.pone.0123800
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