Literature DB >> 27832417

Lethal neonatal hyperammonemia in severe ornithine transcarbamylase (OTC) deficiency compounded by large hepatic portosystemic shunt.

Lauren Beard1, Erica Wymore2, Laura Fenton3, Curtis R Coughlin4, James D Weisfeld-Adams4.   

Abstract

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Year:  2016        PMID: 27832417     DOI: 10.1007/s10545-016-9985-2

Source DB:  PubMed          Journal:  J Inherit Metab Dis        ISSN: 0141-8955            Impact factor:   4.982


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  5 in total

1.  Clinical features of congenital portosystemic shunt in children.

Authors:  Myung Jin Kim; Jae Sung Ko; Jeong Kee Seo; Hye Ran Yang; Ju Young Chang; Gi Beom Kim; Jung-Eun Cheon; Woo Sun Kim
Journal:  Eur J Pediatr       Date:  2011-09-13       Impact factor: 3.183

Review 2.  Congenital portosystemic shunt: characterization of a multisystem disease.

Authors:  Christiane Sokollik; Robert H J Bandsma; Juan C Gana; Meta van den Heuvel; Simon C Ling
Journal:  J Pediatr Gastroenterol Nutr       Date:  2013-06       Impact factor: 2.839

Review 3.  The clinical anatomy of congenital portosystemic venous shunts.

Authors:  Mark D Stringer
Journal:  Clin Anat       Date:  2008-03       Impact factor: 2.414

4.  Congenital veno-venous malformations of the liver: widely variable clinical presentations.

Authors:  Peter Witters; Geert Maleux; Christophe George; Marion Delcroix; Ilse Hoffman; Marc Gewillig; Chris Verslype; Diethard Monbaliu; Raymond Aerts; Jacques Pirenne; Werner Van Steenbergen; Frederik Nevens; Johan Fevery; David Cassiman
Journal:  J Gastroenterol Hepatol       Date:  2007-09-14       Impact factor: 4.029

5.  Aberrant expression and distribution of enzymes of the urea cycle and other ammonia metabolizing pathways in dogs with congenital portosystemic shunts.

Authors:  Giora van Straten; Frank G van Steenbeek; Guy C M Grinwis; Robert P Favier; Anne Kummeling; Ingrid H van Gils; Hille Fieten; Marian J A Groot Koerkamp; Frank C P Holstege; Jan Rothuizen; Bart Spee
Journal:  PLoS One       Date:  2014-06-19       Impact factor: 3.240

  5 in total
  1 in total

1.  Machine Learning Algorithms Identify Pathogen-Specific Biomarkers of Clinical and Metabolomic Characteristics in Septic Patients with Bacterial Infections.

Authors:  Lingling Zheng; Fangqin Lin; Changxi Zhu; Guangjian Liu; Xiaohui Wu; Zhiyuan Wu; Jianbin Zheng; Huimin Xia; Yi Cai; Huiying Liang
Journal:  Biomed Res Int       Date:  2020-07-27       Impact factor: 3.411

  1 in total

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