Cargando…

Development and Assessment of Screening Nomogram for Biliary Atresia Based on Hepatobiliary Ultrasonographic Features

Objectives: Biliary atresia (BA) is a rare neonatal liver disease of which the early diagnosis remains a challenge for clinicians. Our center has established a nomogram diagnostic model based on clinical characteristics and liver function characteristics. We aim to develop and validate a nomogram th...

Descripción completa

Detalles Bibliográficos
Autores principales: Dai, Shu Yang, Sun, Yu Qi, Wu, Ying, Chen, Gong, Sun, Song, Dong, Rui, Zheng, Shan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8165198/
https://www.ncbi.nlm.nih.gov/pubmed/34079779
http://dx.doi.org/10.3389/fped.2021.625451
_version_ 1783701266206031872
author Dai, Shu Yang
Sun, Yu Qi
Wu, Ying
Chen, Gong
Sun, Song
Dong, Rui
Zheng, Shan
author_facet Dai, Shu Yang
Sun, Yu Qi
Wu, Ying
Chen, Gong
Sun, Song
Dong, Rui
Zheng, Shan
author_sort Dai, Shu Yang
collection PubMed
description Objectives: Biliary atresia (BA) is a rare neonatal liver disease of which the early diagnosis remains a challenge for clinicians. Our center has established a nomogram diagnostic model based on clinical characteristics and liver function characteristics. We aim to develop and validate a nomogram that includes additional ultrasound and finds hepatobiliary abnormality with better BA early screening performance. Methods: In this single-center, retrospective cohort analysis, 1,001 neonatal obstructive jaundice (NOJ) patients between 2012 and 2015 were enrolled. Multivariable analysis was used to identify clinical characteristics, laboratory liver function characteristics, and ultrasonic features that may early screen BA. A nomogram was developed to predict the probability of BA using multiple logistic regression analysis. This nomogram was subsequently validated using another cohort of 501 NOJ patients between 2015 and 2017. Calibration curve analysis and decision curve analyses were performed to evaluate and interpret the nomogram's clinical benefits. Results: Gender, direct bilirubin (DB), alkaline phosphatase (ALP), gamma-glutamyl transpeptidase (GGT), fasting gallbladder visibility, fasting gallbladder filling, and common bile duct visibility were found to have profound statistical significance between the BA and non-BA groups (P < 0.05). The significant features were used to build the nomogram. The area under the receiver operating characteristic (ROC) curve (AUC) value of the novel nomogram (0.87) was superior to those of the former nomogram (0.83) and GGT alone (0.81) in the prediction of BA. The calibration curve revealed a close resemblance between the predicted and actual BA probabilities. Also, the net benefit from the decision curve analysis (DCA) of the nomogram (0.54) was superior to those of the former nomogram (0.49) and GGT alone (0.45) at 80% of threshold possibility. Conclusions: The nomogram has demonstrated better performance for BA screening by including additional information of the US finding, holding a promising future as a non-invasive method for BA patients.
format Online
Article
Text
id pubmed-8165198
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-81651982021-06-01 Development and Assessment of Screening Nomogram for Biliary Atresia Based on Hepatobiliary Ultrasonographic Features Dai, Shu Yang Sun, Yu Qi Wu, Ying Chen, Gong Sun, Song Dong, Rui Zheng, Shan Front Pediatr Pediatrics Objectives: Biliary atresia (BA) is a rare neonatal liver disease of which the early diagnosis remains a challenge for clinicians. Our center has established a nomogram diagnostic model based on clinical characteristics and liver function characteristics. We aim to develop and validate a nomogram that includes additional ultrasound and finds hepatobiliary abnormality with better BA early screening performance. Methods: In this single-center, retrospective cohort analysis, 1,001 neonatal obstructive jaundice (NOJ) patients between 2012 and 2015 were enrolled. Multivariable analysis was used to identify clinical characteristics, laboratory liver function characteristics, and ultrasonic features that may early screen BA. A nomogram was developed to predict the probability of BA using multiple logistic regression analysis. This nomogram was subsequently validated using another cohort of 501 NOJ patients between 2015 and 2017. Calibration curve analysis and decision curve analyses were performed to evaluate and interpret the nomogram's clinical benefits. Results: Gender, direct bilirubin (DB), alkaline phosphatase (ALP), gamma-glutamyl transpeptidase (GGT), fasting gallbladder visibility, fasting gallbladder filling, and common bile duct visibility were found to have profound statistical significance between the BA and non-BA groups (P < 0.05). The significant features were used to build the nomogram. The area under the receiver operating characteristic (ROC) curve (AUC) value of the novel nomogram (0.87) was superior to those of the former nomogram (0.83) and GGT alone (0.81) in the prediction of BA. The calibration curve revealed a close resemblance between the predicted and actual BA probabilities. Also, the net benefit from the decision curve analysis (DCA) of the nomogram (0.54) was superior to those of the former nomogram (0.49) and GGT alone (0.45) at 80% of threshold possibility. Conclusions: The nomogram has demonstrated better performance for BA screening by including additional information of the US finding, holding a promising future as a non-invasive method for BA patients. Frontiers Media S.A. 2021-05-17 /pmc/articles/PMC8165198/ /pubmed/34079779 http://dx.doi.org/10.3389/fped.2021.625451 Text en Copyright © 2021 Dai, Sun, Wu, Chen, Sun, Dong and Zheng. 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). 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
Dai, Shu Yang
Sun, Yu Qi
Wu, Ying
Chen, Gong
Sun, Song
Dong, Rui
Zheng, Shan
Development and Assessment of Screening Nomogram for Biliary Atresia Based on Hepatobiliary Ultrasonographic Features
title Development and Assessment of Screening Nomogram for Biliary Atresia Based on Hepatobiliary Ultrasonographic Features
title_full Development and Assessment of Screening Nomogram for Biliary Atresia Based on Hepatobiliary Ultrasonographic Features
title_fullStr Development and Assessment of Screening Nomogram for Biliary Atresia Based on Hepatobiliary Ultrasonographic Features
title_full_unstemmed Development and Assessment of Screening Nomogram for Biliary Atresia Based on Hepatobiliary Ultrasonographic Features
title_short Development and Assessment of Screening Nomogram for Biliary Atresia Based on Hepatobiliary Ultrasonographic Features
title_sort development and assessment of screening nomogram for biliary atresia based on hepatobiliary ultrasonographic features
topic Pediatrics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8165198/
https://www.ncbi.nlm.nih.gov/pubmed/34079779
http://dx.doi.org/10.3389/fped.2021.625451
work_keys_str_mv AT daishuyang developmentandassessmentofscreeningnomogramforbiliaryatresiabasedonhepatobiliaryultrasonographicfeatures
AT sunyuqi developmentandassessmentofscreeningnomogramforbiliaryatresiabasedonhepatobiliaryultrasonographicfeatures
AT wuying developmentandassessmentofscreeningnomogramforbiliaryatresiabasedonhepatobiliaryultrasonographicfeatures
AT chengong developmentandassessmentofscreeningnomogramforbiliaryatresiabasedonhepatobiliaryultrasonographicfeatures
AT sunsong developmentandassessmentofscreeningnomogramforbiliaryatresiabasedonhepatobiliaryultrasonographicfeatures
AT dongrui developmentandassessmentofscreeningnomogramforbiliaryatresiabasedonhepatobiliaryultrasonographicfeatures
AT zhengshan developmentandassessmentofscreeningnomogramforbiliaryatresiabasedonhepatobiliaryultrasonographicfeatures