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Initial assessment of the infant with neonatal cholestasis—Is this biliary atresia?

INTRODUCTION: Optimizing outcome in biliary atresia (BA) requires timely diagnosis. Cholestasis is a presenting feature of BA, as well as other diagnoses (Non-BA). Identification of clinical features of neonatal cholestasis that would expedite decisions to pursue subsequent invasive testing to corre...

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Autores principales: Shneider, Benjamin L., Moore, Jeff, Kerkar, Nanda, Magee, John C., Ye, Wen, Karpen, Saul J., Kamath, Binita M., Molleston, Jean P., Bezerra, Jorge A., Murray, Karen F., Loomes, Kathleen M., Whitington, Peter F., Rosenthal, Philip, Squires, Robert H., Guthery, Stephen L., Arnon, Ronen, Schwarz, Kathleen B., Turmelle, Yumirle P., Sherker, Averell H., Sokol, Ronald J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5426590/
https://www.ncbi.nlm.nih.gov/pubmed/28493866
http://dx.doi.org/10.1371/journal.pone.0176275
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author Shneider, Benjamin L.
Moore, Jeff
Kerkar, Nanda
Magee, John C.
Ye, Wen
Karpen, Saul J.
Kamath, Binita M.
Molleston, Jean P.
Bezerra, Jorge A.
Murray, Karen F.
Loomes, Kathleen M.
Whitington, Peter F.
Rosenthal, Philip
Squires, Robert H.
Guthery, Stephen L.
Arnon, Ronen
Schwarz, Kathleen B.
Turmelle, Yumirle P.
Sherker, Averell H.
Sokol, Ronald J.
author_facet Shneider, Benjamin L.
Moore, Jeff
Kerkar, Nanda
Magee, John C.
Ye, Wen
Karpen, Saul J.
Kamath, Binita M.
Molleston, Jean P.
Bezerra, Jorge A.
Murray, Karen F.
Loomes, Kathleen M.
Whitington, Peter F.
Rosenthal, Philip
Squires, Robert H.
Guthery, Stephen L.
Arnon, Ronen
Schwarz, Kathleen B.
Turmelle, Yumirle P.
Sherker, Averell H.
Sokol, Ronald J.
author_sort Shneider, Benjamin L.
collection PubMed
description INTRODUCTION: Optimizing outcome in biliary atresia (BA) requires timely diagnosis. Cholestasis is a presenting feature of BA, as well as other diagnoses (Non-BA). Identification of clinical features of neonatal cholestasis that would expedite decisions to pursue subsequent invasive testing to correctly diagnose or exclude BA would enhance outcomes. The analytical goal was to develop a predictive model for BA using data available at initial presentation. METHODS: Infants at presentation with neonatal cholestasis (direct/conjugated bilirubin >2 mg/dl [34.2 μM]) were enrolled prior to surgical exploration in a prospective observational multi-centered study (PROBE–NCT00061828). Clinical features (physical findings, laboratory results, gallbladder sonography) at enrollment were analyzed. Initially, 19 features were selected as candidate predictors. Two approaches were used to build models for diagnosis prediction: a hierarchical classification and regression decision tree (CART) and a logistic regression model using a stepwise selection strategy. RESULTS: In PROBE April 2004-February 2014, 401 infants met criteria for BA and 259 for Non-BA. Univariate analysis identified 13 features that were significantly different between BA and Non-BA. Using a CART predictive model of BA versus Non-BA (significant factors: gamma-glutamyl transpeptidase, acholic stools, weight), the receiver operating characteristic area under the curve (ROC AUC) was 0.83. Twelve percent of BA infants were misclassified as Non-BA; 17% of Non-BA infants were misclassified as BA. Stepwise logistic regression identified seven factors in a predictive model (ROC AUC 0.89). Using this model, a predicted probability of >0.8 (n = 357) yielded an 81% true positive rate for BA; <0.2 (n = 120) yielded an 11% false negative rate. CONCLUSION: Despite the relatively good accuracy of our optimized prediction models, the high precision required for differentiating BA from Non-BA was not achieved. Accurate identification of BA in infants with neonatal cholestasis requires further evaluation, and BA should not be excluded based only on presenting clinical features.
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spelling pubmed-54265902017-05-25 Initial assessment of the infant with neonatal cholestasis—Is this biliary atresia? Shneider, Benjamin L. Moore, Jeff Kerkar, Nanda Magee, John C. Ye, Wen Karpen, Saul J. Kamath, Binita M. Molleston, Jean P. Bezerra, Jorge A. Murray, Karen F. Loomes, Kathleen M. Whitington, Peter F. Rosenthal, Philip Squires, Robert H. Guthery, Stephen L. Arnon, Ronen Schwarz, Kathleen B. Turmelle, Yumirle P. Sherker, Averell H. Sokol, Ronald J. PLoS One Research Article INTRODUCTION: Optimizing outcome in biliary atresia (BA) requires timely diagnosis. Cholestasis is a presenting feature of BA, as well as other diagnoses (Non-BA). Identification of clinical features of neonatal cholestasis that would expedite decisions to pursue subsequent invasive testing to correctly diagnose or exclude BA would enhance outcomes. The analytical goal was to develop a predictive model for BA using data available at initial presentation. METHODS: Infants at presentation with neonatal cholestasis (direct/conjugated bilirubin >2 mg/dl [34.2 μM]) were enrolled prior to surgical exploration in a prospective observational multi-centered study (PROBE–NCT00061828). Clinical features (physical findings, laboratory results, gallbladder sonography) at enrollment were analyzed. Initially, 19 features were selected as candidate predictors. Two approaches were used to build models for diagnosis prediction: a hierarchical classification and regression decision tree (CART) and a logistic regression model using a stepwise selection strategy. RESULTS: In PROBE April 2004-February 2014, 401 infants met criteria for BA and 259 for Non-BA. Univariate analysis identified 13 features that were significantly different between BA and Non-BA. Using a CART predictive model of BA versus Non-BA (significant factors: gamma-glutamyl transpeptidase, acholic stools, weight), the receiver operating characteristic area under the curve (ROC AUC) was 0.83. Twelve percent of BA infants were misclassified as Non-BA; 17% of Non-BA infants were misclassified as BA. Stepwise logistic regression identified seven factors in a predictive model (ROC AUC 0.89). Using this model, a predicted probability of >0.8 (n = 357) yielded an 81% true positive rate for BA; <0.2 (n = 120) yielded an 11% false negative rate. CONCLUSION: Despite the relatively good accuracy of our optimized prediction models, the high precision required for differentiating BA from Non-BA was not achieved. Accurate identification of BA in infants with neonatal cholestasis requires further evaluation, and BA should not be excluded based only on presenting clinical features. Public Library of Science 2017-05-11 /pmc/articles/PMC5426590/ /pubmed/28493866 http://dx.doi.org/10.1371/journal.pone.0176275 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
Shneider, Benjamin L.
Moore, Jeff
Kerkar, Nanda
Magee, John C.
Ye, Wen
Karpen, Saul J.
Kamath, Binita M.
Molleston, Jean P.
Bezerra, Jorge A.
Murray, Karen F.
Loomes, Kathleen M.
Whitington, Peter F.
Rosenthal, Philip
Squires, Robert H.
Guthery, Stephen L.
Arnon, Ronen
Schwarz, Kathleen B.
Turmelle, Yumirle P.
Sherker, Averell H.
Sokol, Ronald J.
Initial assessment of the infant with neonatal cholestasis—Is this biliary atresia?
title Initial assessment of the infant with neonatal cholestasis—Is this biliary atresia?
title_full Initial assessment of the infant with neonatal cholestasis—Is this biliary atresia?
title_fullStr Initial assessment of the infant with neonatal cholestasis—Is this biliary atresia?
title_full_unstemmed Initial assessment of the infant with neonatal cholestasis—Is this biliary atresia?
title_short Initial assessment of the infant with neonatal cholestasis—Is this biliary atresia?
title_sort initial assessment of the infant with neonatal cholestasis—is this biliary atresia?
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5426590/
https://www.ncbi.nlm.nih.gov/pubmed/28493866
http://dx.doi.org/10.1371/journal.pone.0176275
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