Objective: Congenital heart disease (CHD) is a leading cause of premature death in infants and children. Currently limited data are available regarding lesion specific mortality over time. Our study aimed to describe pediatric mortality trends by CHD lesion in the United States.

Methods: We conducted a 19 year analysis (1999 to 2017) of publicly available, deidentified multiple cause of death data compiled and produced by the National Center for Health Statistics. Analysis was stratified by CHD diagnosis and age using 3 age categories (infants, 1 to 4 years, and 5 to 17 years). Temporal trends of CHD mortality and the effect of contributing risk factors were analyzed by using joinpoint regression.

Results: Mortality was highest for in infants for all CHD lesions, in particular for total anomalous pulmonary venous return. Significant declines in infant CHD mortality occurred for most other lesions. Contributing risk factors, including prematurity, extracardiac birth defects, and genetic conditions, occurred in 19% of infant CHD deaths and demonstrated worse mortality trends in the majority of lesions. Mortality rates remained highest for single ventricle lesions in all ages, with an infant mortality rate plateau in the later half of the study and progressive increasing mortality rates for children 5 to 17 years.

Conclusions: CHD mortality is decreasing for most lesions. Because of the heterogenicity of CHD lesions, there is expected variability in mortality trends by lesion and age group. Single ventricle lesions continue to contribute most heavily to premature death because of CHD demonstrated by significant increases in mortality rate for children aged 5 to 17 years.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9645438PMC
http://dx.doi.org/10.1542/peds.2022-056294DOI Listing

Publication Analysis

Top Keywords

mortality trends
16
mortality
13
chd mortality
12
chd
10
congenital heart
8
heart disease
8
1999 2017
8
premature death
8
trends chd
8
contributing risk
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!