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Development and validation of a predictive nomogram for the risk of recurrence in patients with cystitis glandularis

BACKGROUND: Most patients with cystitis glandularis (CG) suffer from recurrence after primary treatment. Therefore, we performed this multicenter study to clarify the recurrent risk factors and constructed a predictive nomogram for the risk of recurrence. Also, we try to investigate the correlation...

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Autores principales: Hu, Jiao, Li, Chao, Guo, Xi, Zhang, Huihui, Li, Huihuang, Qiu, Dongxu, Gong, Guanghui, Liu, Peihua, Ren, Wenbiao, Chen, Jinbo, Zu, Xiongbing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7186700/
https://www.ncbi.nlm.nih.gov/pubmed/32355796
http://dx.doi.org/10.21037/atm.2020.02.102
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author Hu, Jiao
Li, Chao
Guo, Xi
Zhang, Huihui
Li, Huihuang
Qiu, Dongxu
Gong, Guanghui
Liu, Peihua
Ren, Wenbiao
Chen, Jinbo
Zu, Xiongbing
author_facet Hu, Jiao
Li, Chao
Guo, Xi
Zhang, Huihui
Li, Huihuang
Qiu, Dongxu
Gong, Guanghui
Liu, Peihua
Ren, Wenbiao
Chen, Jinbo
Zu, Xiongbing
author_sort Hu, Jiao
collection PubMed
description BACKGROUND: Most patients with cystitis glandularis (CG) suffer from recurrence after primary treatment. Therefore, we performed this multicenter study to clarify the recurrent risk factors and constructed a predictive nomogram for the risk of recurrence. Also, we try to investigate the correlation between CG and bladder cancer. METHODS: Consecutive patients with pathologically confirmed CG were divided into training and validation sets. Clinicopathological characters were collected from electronic medical records. Uni- and multivariate logistic regression analyses were used to identify independent risk factors of CG recurrence in the training set. The predictive nomogram was developed by incorporating these independent factors and histological subtype. The performance of the nomogram was assessed and validated with respects to its calibration, discrimination, and clinical usefulness. The risk of developing subsequent bladder cancer was analyzed from the follow-up data. RESULTS: Ultimately, 278 eligible patients were included and were allocated to a training set (n=190) and a validation set (n=88). Of them, 165 (59.35%) patients experienced CG recurrence, and none showed evidence of subsequent bladder carcinoma during a median (IQR) follow-up time of 27 months (14–57 months). Results of multivariate analysis showed that urinary infections, long-term indwelling catheter usage, urinary calculus, squamous metaplasia, and atypical hyperplasia were independent risk factors of CG recurrence. The C-index (95% CI) of the nomogram was 0.76 (0.69–0.83) in the training set and 0.72 (0.61–0.83) in the validation set. A decision curve analysis (DCA) demonstrated that this predictive nomogram was clinically useful. CONCLUSIONS: We developed and validated a nomogram to predict the individualized risk of CG recurrence. Also, we demonstrated that neither intestinal nor typical CG increased the consequent risk of bladder cancer during the follow-up period.
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spelling pubmed-71867002020-04-30 Development and validation of a predictive nomogram for the risk of recurrence in patients with cystitis glandularis Hu, Jiao Li, Chao Guo, Xi Zhang, Huihui Li, Huihuang Qiu, Dongxu Gong, Guanghui Liu, Peihua Ren, Wenbiao Chen, Jinbo Zu, Xiongbing Ann Transl Med Original Article BACKGROUND: Most patients with cystitis glandularis (CG) suffer from recurrence after primary treatment. Therefore, we performed this multicenter study to clarify the recurrent risk factors and constructed a predictive nomogram for the risk of recurrence. Also, we try to investigate the correlation between CG and bladder cancer. METHODS: Consecutive patients with pathologically confirmed CG were divided into training and validation sets. Clinicopathological characters were collected from electronic medical records. Uni- and multivariate logistic regression analyses were used to identify independent risk factors of CG recurrence in the training set. The predictive nomogram was developed by incorporating these independent factors and histological subtype. The performance of the nomogram was assessed and validated with respects to its calibration, discrimination, and clinical usefulness. The risk of developing subsequent bladder cancer was analyzed from the follow-up data. RESULTS: Ultimately, 278 eligible patients were included and were allocated to a training set (n=190) and a validation set (n=88). Of them, 165 (59.35%) patients experienced CG recurrence, and none showed evidence of subsequent bladder carcinoma during a median (IQR) follow-up time of 27 months (14–57 months). Results of multivariate analysis showed that urinary infections, long-term indwelling catheter usage, urinary calculus, squamous metaplasia, and atypical hyperplasia were independent risk factors of CG recurrence. The C-index (95% CI) of the nomogram was 0.76 (0.69–0.83) in the training set and 0.72 (0.61–0.83) in the validation set. A decision curve analysis (DCA) demonstrated that this predictive nomogram was clinically useful. CONCLUSIONS: We developed and validated a nomogram to predict the individualized risk of CG recurrence. Also, we demonstrated that neither intestinal nor typical CG increased the consequent risk of bladder cancer during the follow-up period. AME Publishing Company 2020-03 /pmc/articles/PMC7186700/ /pubmed/32355796 http://dx.doi.org/10.21037/atm.2020.02.102 Text en 2020 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Hu, Jiao
Li, Chao
Guo, Xi
Zhang, Huihui
Li, Huihuang
Qiu, Dongxu
Gong, Guanghui
Liu, Peihua
Ren, Wenbiao
Chen, Jinbo
Zu, Xiongbing
Development and validation of a predictive nomogram for the risk of recurrence in patients with cystitis glandularis
title Development and validation of a predictive nomogram for the risk of recurrence in patients with cystitis glandularis
title_full Development and validation of a predictive nomogram for the risk of recurrence in patients with cystitis glandularis
title_fullStr Development and validation of a predictive nomogram for the risk of recurrence in patients with cystitis glandularis
title_full_unstemmed Development and validation of a predictive nomogram for the risk of recurrence in patients with cystitis glandularis
title_short Development and validation of a predictive nomogram for the risk of recurrence in patients with cystitis glandularis
title_sort development and validation of a predictive nomogram for the risk of recurrence in patients with cystitis glandularis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7186700/
https://www.ncbi.nlm.nih.gov/pubmed/32355796
http://dx.doi.org/10.21037/atm.2020.02.102
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