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A nomogram for predicting upper urinary tract damage risk in children with neurogenic bladder

PURPOSE: To establish a predictive model for upper urinary tract damage (UUTD) in children with neurogenic bladder (NB) and verify its efficacy. METHODS: A retrospective study was conducted that consisted of a training cohort with 167 NB patients and a validation cohort with 100 NB children. The cli...

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Autores principales: Li, Qi, Cai, Miao, Pu, Qingsong, Wu, Shengde, Liu, Xing, Lin, Tao, He, Dawei, Wen, Jianguo, Wei, Guanghui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9768210/
https://www.ncbi.nlm.nih.gov/pubmed/36568416
http://dx.doi.org/10.3389/fped.2022.1050013
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author Li, Qi
Cai, Miao
Pu, Qingsong
Wu, Shengde
Liu, Xing
Lin, Tao
He, Dawei
Wen, Jianguo
Wei, Guanghui
author_facet Li, Qi
Cai, Miao
Pu, Qingsong
Wu, Shengde
Liu, Xing
Lin, Tao
He, Dawei
Wen, Jianguo
Wei, Guanghui
author_sort Li, Qi
collection PubMed
description PURPOSE: To establish a predictive model for upper urinary tract damage (UUTD) in children with neurogenic bladder (NB) and verify its efficacy. METHODS: A retrospective study was conducted that consisted of a training cohort with 167 NB patients and a validation cohort with 100 NB children. The clinical data of the two groups were compared first, and then univariate and multivariate logistic regression analyses were performed on the training cohort to identify predictors and develop the nomogram. The accuracy and clinical usefulness of the nomogram were verified by receiver operating characteristic (ROC) curve, calibration curve and decision curve analyses. RESULTS: There were no significant differences in other parameters between the training and validation cohorts except for age (all P > 0.05). Recurrent urinary tract infection, bladder compliance, detrusor leak point pressure, overactive bladder and clean intermittent catheterization were identified as predictors and assembled into the nomogram. The nomogram showed good discrimination with the area under the ROC curve (AUC) in the training cohort (0.806, 95% CI: 0.737–0.874) and validation cohort (0.831, 95% CI: 0.753–0.0.909). The calibration curve showed that the nomograms were well calibrated, with no significant difference between the predicted and observed probabilities. Decision curve analysis indicated that the nomogram has good clinical applicability. CONCLUSION: This study presents an effective nomogram incorporating five clinical characteristics that can be conveniently applied to assess NB children' risk of progressing to UUTD.
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spelling pubmed-97682102022-12-22 A nomogram for predicting upper urinary tract damage risk in children with neurogenic bladder Li, Qi Cai, Miao Pu, Qingsong Wu, Shengde Liu, Xing Lin, Tao He, Dawei Wen, Jianguo Wei, Guanghui Front Pediatr Pediatrics PURPOSE: To establish a predictive model for upper urinary tract damage (UUTD) in children with neurogenic bladder (NB) and verify its efficacy. METHODS: A retrospective study was conducted that consisted of a training cohort with 167 NB patients and a validation cohort with 100 NB children. The clinical data of the two groups were compared first, and then univariate and multivariate logistic regression analyses were performed on the training cohort to identify predictors and develop the nomogram. The accuracy and clinical usefulness of the nomogram were verified by receiver operating characteristic (ROC) curve, calibration curve and decision curve analyses. RESULTS: There were no significant differences in other parameters between the training and validation cohorts except for age (all P > 0.05). Recurrent urinary tract infection, bladder compliance, detrusor leak point pressure, overactive bladder and clean intermittent catheterization were identified as predictors and assembled into the nomogram. The nomogram showed good discrimination with the area under the ROC curve (AUC) in the training cohort (0.806, 95% CI: 0.737–0.874) and validation cohort (0.831, 95% CI: 0.753–0.0.909). The calibration curve showed that the nomograms were well calibrated, with no significant difference between the predicted and observed probabilities. Decision curve analysis indicated that the nomogram has good clinical applicability. CONCLUSION: This study presents an effective nomogram incorporating five clinical characteristics that can be conveniently applied to assess NB children' risk of progressing to UUTD. Frontiers Media S.A. 2022-12-07 /pmc/articles/PMC9768210/ /pubmed/36568416 http://dx.doi.org/10.3389/fped.2022.1050013 Text en © 2022 Li, Cai, Pu, Wu, Liu, Lin, He, Wen and Wei. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Pediatrics
Li, Qi
Cai, Miao
Pu, Qingsong
Wu, Shengde
Liu, Xing
Lin, Tao
He, Dawei
Wen, Jianguo
Wei, Guanghui
A nomogram for predicting upper urinary tract damage risk in children with neurogenic bladder
title A nomogram for predicting upper urinary tract damage risk in children with neurogenic bladder
title_full A nomogram for predicting upper urinary tract damage risk in children with neurogenic bladder
title_fullStr A nomogram for predicting upper urinary tract damage risk in children with neurogenic bladder
title_full_unstemmed A nomogram for predicting upper urinary tract damage risk in children with neurogenic bladder
title_short A nomogram for predicting upper urinary tract damage risk in children with neurogenic bladder
title_sort nomogram for predicting upper urinary tract damage risk in children with neurogenic bladder
topic Pediatrics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9768210/
https://www.ncbi.nlm.nih.gov/pubmed/36568416
http://dx.doi.org/10.3389/fped.2022.1050013
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