A prognostic tool to predict outcomes in children undergoing the Norwood operation-Reference-Cited by-同舟云学术

A prognostic tool to predict outcomes in children undergoing the Norwood operation

Published:2017-12 Issue:6 Volume:154 Page:2030-2037.e2
ISSN:0022-5223
Container-title:The Journal of Thoracic and Cardiovascular Surgery
language:en
Short-container-title:The Journal of Thoracic and Cardiovascular Surgery

Author:

Gupta Punkaj,Chakraborty Avishek,Gossett Jeffrey M.,Rettiganti Mallikarjuna

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine,Pulmonary and Respiratory Medicine,Surgery

Reference29 articles.

1. Risk factors for hospital morbidity and mortality after the Norwood procedure: a report from the Pediatric Heart Network Single Ventricle Reconstruction trial;Tabbutt;J Thorac Cardiovasc Surg,2012

2. Improved survival of patients undergoing palliation of hypoplastic left heart syndrome: lessons learned from 115 consecutive patients;Tweddell;Circulation,2002

3. Mitral stenosis and aortic atresia—a risk factor for mortality after the modified Norwood operation in hypoplastic left heart syndrome;Siehr;Ann Thorac Surg,2016

4. Outcomes and hospital costs associated with the Norwood operation: beyond morbidity and mortality;Kogon;Cardiol Young,2015

5. Current outcomes and risk factors for the Norwood procedure;Stasik;J Thorac Cardiovasc Surg,2006

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1. Using machine learning to predict five-year transplant-free survival among infants with hypoplastic left heart syndrome;Scientific Reports;2024-02-24

2. Textbook outcome for the Norwood operation—an informative quality metric in congenital heart surgery;JTCVS Open;2023-09

3. Guidelines for the management of neonates and infants with hypoplastic left heart syndrome: The European Association for Cardio-Thoracic Surgery (EACTS) and the Association for European Paediatric and Congenital Cardiology (AEPC) Hypoplastic Left Heart Syndrome Guidelines Task Force;European Journal of Cardio-Thoracic Surgery;2020-08-28

4. Deep Learning for Improved Risk Prediction in Surgical Outcomes;Scientific Reports;2020-06-09

5. Early prediction of critical events for infants with single-ventricle physiology in critical care using routinely collected data;The Journal of Thoracic and Cardiovascular Surgery;2019-07