Literature DB >> 31924360

Development of a validated risk score for interstage death or transplant after stage I palliation for single-ventricle heart disease.

Humera Ahmed1, Jeffrey B Anderson2, Katherine E Bates3, Craig E Fleishman4, Shobha Natarajan5, Nancy S Ghanayem6, Lynn A Sleeper1, Carole M Lannon2, David W Brown7.   

Abstract

OBJECTIVE: To develop a risk score to predict mortality or transplant in the interstage period.
BACKGROUND: The "interstage" period between the stage 1 and stage 2 palliation is a time of high morbidity and mortality for infants with single-ventricle congenital heart disease.
METHODS: This was an analysis of patients with single-ventricle congenital heart disease requiring arch reconstruction who were enrolled in the National Pediatric Cardiology Quality Improvement Collaborative registry from 2008 to 2015. The primary composite endpoint was interstage mortality or transplant. Multivariable logistic regression and classification and regression tree analysis were performed on two-thirds of the patients ("learning cohort") to build a risk score for the composite endpoint, that was validated in the remaining patients ("validation cohort").
RESULTS: In the 2128 patients analyzed in the registry, the overall event rate was 9% (153 [7%] deaths, 42 [2%] transplants). In the learning cohort, factors independently associated with the composite endpoint were (1) type of Norwood; (2) postoperative ECMO; (3) discharge with Opiates; (4) No Digoxin at discharge; (5) postoperative Arch obstruction, (6) moderate-to-severe Tricuspid regurgitation without an oxygen requirement, and (7) Extra Oxygen required at discharge in patients with moderate-to-severe tricuspid regurgitation. This model was used to create a weighted risk score ("NEONATE" score; 0-76 points), with >75% accuracy in the learning and validation cohorts. In the validation cohort, the event rate in patients with a score >17 was nearly three times those with a score ≤17.
CONCLUSIONS: We introduce a risk score that can be used post-stage 1 palliation to predict freedom from interstage mortality or transplant.
Copyright © 2019 The American Association for Thoracic Surgery. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  cardiovascular surgery; congenital heart disease; mortality/survival; transplant

Year:  2019        PMID: 31924360     DOI: 10.1016/j.jtcvs.2019.11.001

Source DB:  PubMed          Journal:  J Thorac Cardiovasc Surg        ISSN: 0022-5223            Impact factor:   5.209


  5 in total

1.  Characteristics of Interstage Death After Discharge from Stage I Palliation.

Authors:  Humera Ahmed; Jeffrey B Anderson; Katherine E Bates; Shobha Natarajan; Nancy S Ghanayem; Carole M Lannon; David W Brown
Journal:  Pediatr Cardiol       Date:  2021-05-04       Impact factor: 1.655

2.  The Prevalence of Congenital Anomalies of the Airway or Lung in Infants with Hypoplastic Left Heart Syndrome and Differences in Midterm Outcomes: A National Pediatric Cardiology Quality Improvement Collaborative Registry Analysis.

Authors:  Raj Sahulee; Rakesh K Singh; Daniel M Pasternack
Journal:  Pediatr Cardiol       Date:  2022-06-22       Impact factor: 1.655

3.  Assessing the Association Between Pre-operative Feeding and the Development of Oral Feeding Skills in Infants with Single Ventricle Heart Disease: An Analysis of the NPC-QIC Dataset.

Authors:  E Sagiv; Y L Tjoeng; M Davis; E Keenan; J Fogel; K Fogg; N Slater; S Prochaska-Davis; K D Frontier; J Fridgen; T Chan
Journal:  Pediatr Cardiol       Date:  2022-02-14       Impact factor: 1.655

4.  Association Between Digoxin Use and Cardiac Function in Infants With Single-Ventricle Congenital Heart Disease During the Interstage Period.

Authors:  Karan R Kumar; Antonina Flair; Elizabeth J Thompson; Kanecia O Zimmerman; Nicholas D Andersen; Kevin D Hill; Christoph P Hornik
Journal:  Pediatr Crit Care Med       Date:  2022-04-11       Impact factor: 3.971

5.  Trends in Discharge Prescription of Digoxin After Norwood Operation: An Analysis of Data from the Pediatric Health Information System (PHIS) Database.

Authors:  Michael L O'Byrne; Lihai Song; Jing Huang; David J Goldberg; Monique M Gardner; Chitra Ravishankar; Jonathan J Rome; Andrew C Glatz
Journal:  Pediatr Cardiol       Date:  2021-02-02       Impact factor: 1.655

  5 in total

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