Abstract
Purpose: We aimed to describe the weight-for-age Z-score growth trajectory (WAZ-GT) of infants with complex congenital heart disease (cCHD) after neonatal cardiac surgery in the first 4 months of life and assess potential risk factors. Methods: We utilized data from a previously reported trial of the REACH telehealth home monitoring (NCT01941667) program which evaluated 178 infants with cCHD from 2012 to 2017. Over the first 4 months of life, weekly infant weights were converted to WAZ. WAZ-GT classes were identified using latent class growth modeling. Multinomial logistic regression models were used to examine the associations between potential risk factors and WAZ-GT classes. Results: Four distinct classes of WAZ-GT were identified: maintaining WAZ > 0, 14%; stable around WAZ = 0, 35%; partially recovered, 28%; never recovered, 23%. Compared with reference group “stable around WAZ=0,” we identified clinical and sociodemographic determinants of class membership for the three remaining groups. “Maintaining WAZ > 0” had greater odds of having biventricular physiology, borderline appetite, and a parent with at least a college education. “Partially recovered” had greater odds of hospital length of stay>14 days and being a single child in the household. “Never recovered” had greater odds hospital length of stay >14 and > 30 days, tube feeding at discharge, and low appetite. Conclusions: This study described distinct classes of WAZ-GT for infants with cCHD early in infancy and identified associated determinants. Practice implications: Findings from this study can be used in the identification of infants at risk of poor WAZ-GT and in the design of interventions to target growth in this vulnerable patient population.
Original language | American English |
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Pages (from-to) | 23-29 |
Number of pages | 7 |
Journal | Journal of Pediatric Nursing |
Volume | 66 |
DOIs | |
State | Published - 1 Sep 2022 |
Keywords
- Congenital heart disease
- Growth
- Growth trajectory
- Infant
All Science Journal Classification (ASJC) codes
- Pediatrics