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A scoring system based on clinical features for the prediction of sporadic renal angiomyolipoma rupture and hemorrhage

The purpose of this study is to analyze the risk factors of sporadic renal hamartoma and establish a risk scoring system, and to intervene in patients with high-risk sporadic renal hamartoma who are prone to rupture and bleeding as soon as possible. Retrospective univariate and multivariate logistic...

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Autores principales: Xu, Xiao-feng, Hu, Xian-hui, Zuo, Qi-ming, Zhang, Jiao, Xu, Hao-yu, Zhang, Yao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7254028/
https://www.ncbi.nlm.nih.gov/pubmed/32443333
http://dx.doi.org/10.1097/MD.0000000000020167
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author Xu, Xiao-feng
Hu, Xian-hui
Zuo, Qi-ming
Zhang, Jiao
Xu, Hao-yu
Zhang, Yao
author_facet Xu, Xiao-feng
Hu, Xian-hui
Zuo, Qi-ming
Zhang, Jiao
Xu, Hao-yu
Zhang, Yao
author_sort Xu, Xiao-feng
collection PubMed
description The purpose of this study is to analyze the risk factors of sporadic renal hamartoma and establish a risk scoring system, and to intervene in patients with high-risk sporadic renal hamartoma who are prone to rupture and bleeding as soon as possible. Retrospective univariate and multivariate logistic analyzes were conducted for clinical data of 332 sporadic renal hamartoma patients to screen out independent risk factors of tumor rupture. Score of each independent risk factor was calculated. (Calculation formula: the risk coefficient of each factor = the beta regression coefficient of each factor/the minimum value of the beta regression coefficient of all factors, the value of the smallest beta regression coefficient corresponding to all the factors was assigned 1 point. The score of each factor was equal to the risk coefficient of each variable was taken as an integer value by rounding.) The total score was equal to the sum of all factors. Then the area under the receiver operating characteristics (AUC) curve was compared between high risk factors and scoring system. Finally, the scoring system was evaluated by the area under the curve (AUC) and the Hosmer–Lemeshow method in an independent cohort of 130 patients.Factors such as symptoms at presentation, tumor size, tumor blood supply, and tumor growth pattern were significant predictors of sporadic renal angiomyolipoma rupture in both the univariate and multivariate analyses; these predictors were included in the scoring system to predict sporadic renal angiomyolipoma rupture. There were no significant differences in AUCs between high risk factors and scoring system (z = 0.6434, P = .583, AUC = 0.913, and 0.903 for high risk factors and scoring system, respectively). The sporadic renal angiomyolipoma patients who scored >6 points were prone to rupture. AUROC of the scoring system in the validation set was 0.854(95%CI:0.779, 0.928). Using the Hosmer–Lemeshow method, the value of X(2) was 2.916, P = .893, suggesting the scoring system fitted well. A scoring system based on clinical features is simple and effective in predicting sporadic angiolipoma rupture and hemorrhage. When the score is higher than 6 points, the probability of hamartoma rupture and hemorrhage is significantly increased and early intervention is needed.
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spelling pubmed-72540282020-06-15 A scoring system based on clinical features for the prediction of sporadic renal angiomyolipoma rupture and hemorrhage Xu, Xiao-feng Hu, Xian-hui Zuo, Qi-ming Zhang, Jiao Xu, Hao-yu Zhang, Yao Medicine (Baltimore) 7300 The purpose of this study is to analyze the risk factors of sporadic renal hamartoma and establish a risk scoring system, and to intervene in patients with high-risk sporadic renal hamartoma who are prone to rupture and bleeding as soon as possible. Retrospective univariate and multivariate logistic analyzes were conducted for clinical data of 332 sporadic renal hamartoma patients to screen out independent risk factors of tumor rupture. Score of each independent risk factor was calculated. (Calculation formula: the risk coefficient of each factor = the beta regression coefficient of each factor/the minimum value of the beta regression coefficient of all factors, the value of the smallest beta regression coefficient corresponding to all the factors was assigned 1 point. The score of each factor was equal to the risk coefficient of each variable was taken as an integer value by rounding.) The total score was equal to the sum of all factors. Then the area under the receiver operating characteristics (AUC) curve was compared between high risk factors and scoring system. Finally, the scoring system was evaluated by the area under the curve (AUC) and the Hosmer–Lemeshow method in an independent cohort of 130 patients.Factors such as symptoms at presentation, tumor size, tumor blood supply, and tumor growth pattern were significant predictors of sporadic renal angiomyolipoma rupture in both the univariate and multivariate analyses; these predictors were included in the scoring system to predict sporadic renal angiomyolipoma rupture. There were no significant differences in AUCs between high risk factors and scoring system (z = 0.6434, P = .583, AUC = 0.913, and 0.903 for high risk factors and scoring system, respectively). The sporadic renal angiomyolipoma patients who scored >6 points were prone to rupture. AUROC of the scoring system in the validation set was 0.854(95%CI:0.779, 0.928). Using the Hosmer–Lemeshow method, the value of X(2) was 2.916, P = .893, suggesting the scoring system fitted well. A scoring system based on clinical features is simple and effective in predicting sporadic angiolipoma rupture and hemorrhage. When the score is higher than 6 points, the probability of hamartoma rupture and hemorrhage is significantly increased and early intervention is needed. Wolters Kluwer Health 2020-05-15 /pmc/articles/PMC7254028/ /pubmed/32443333 http://dx.doi.org/10.1097/MD.0000000000020167 Text en Copyright © 2020 the Author(s). Published by Wolters Kluwer Health, Inc. 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 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0
spellingShingle 7300
Xu, Xiao-feng
Hu, Xian-hui
Zuo, Qi-ming
Zhang, Jiao
Xu, Hao-yu
Zhang, Yao
A scoring system based on clinical features for the prediction of sporadic renal angiomyolipoma rupture and hemorrhage
title A scoring system based on clinical features for the prediction of sporadic renal angiomyolipoma rupture and hemorrhage
title_full A scoring system based on clinical features for the prediction of sporadic renal angiomyolipoma rupture and hemorrhage
title_fullStr A scoring system based on clinical features for the prediction of sporadic renal angiomyolipoma rupture and hemorrhage
title_full_unstemmed A scoring system based on clinical features for the prediction of sporadic renal angiomyolipoma rupture and hemorrhage
title_short A scoring system based on clinical features for the prediction of sporadic renal angiomyolipoma rupture and hemorrhage
title_sort scoring system based on clinical features for the prediction of sporadic renal angiomyolipoma rupture and hemorrhage
topic 7300
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7254028/
https://www.ncbi.nlm.nih.gov/pubmed/32443333
http://dx.doi.org/10.1097/MD.0000000000020167
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