Lessons learned from linking two complementary databases: the Society of Thoracic Surgeons Congenital Heart Surgery Database and The Vermont Oxford Network Expanded Database

Author:

Archer Jeremy M.ORCID,Nixon Connie S.,Sura Livia,Neal Dan,Jacobs Jeffrey P.

Abstract

Abstract The Society of Thoracic Surgeons Congenital Heart Surgery Database and the Vermont Oxford Network Expanded Database are both large, international, well-established quality and outcomes databases with high penetration in their respective fields of congenital heart surgery and neonatology. Previous studies have shown the value of combining large databases for research purposes. Our aim was to examine the feasibility and value of combining these databases on a local level. We included patients from both databases, cared for at our centre and born from 2015–2020, who had cardiac surgery as neonates or during the birth hospitalisation. We examined the number of patients from each database and overlap between the two. We compared cardiac diagnoses, surgeries performed, pre-operative factors, mortality, and length of stay between databases. Of the 255 patients meeting criteria, 209 (81.9%) had records in both databases. The most common diagnoses in both were hypoplastic left heart syndrome, coarctation, and transposition of the great arteries. Surgical data were incompletely recorded in Vermont Oxford. Gestational age, birth weight, multiple gestation, mortality, and length of stay did not differ significantly between the databases, while the percentage of patients with an extracardiac malformation or genetic syndrome recorded was higher in the Society for Thoracic Surgeons group. Larger-scale matching and comparison studies using these databases are feasible and desirable; for some variables, a record with data from both databases may be more complete. Specific attention should be given to inclusion criteria, reconciling different schema of diagnoses, and formulating questions relying on each database’s relative strengths.

Publisher

Cambridge University Press (CUP)

Subject

Cardiology and Cardiovascular Medicine,General Medicine,Pediatrics, Perinatology and Child Health

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3