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. 2024 Aug 27:12:1416778.
doi: 10.3389/fped.2024.1416778. eCollection 2024.

The effect of nutritional risk management program on the growth and development of infants and toddlers with congenital heart disease after discharge

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The effect of nutritional risk management program on the growth and development of infants and toddlers with congenital heart disease after discharge

Ya-Li Huang et al. Front Pediatr. .

Abstract

Objective: To evaluate the effect of nutritional risk management program on the growth and development of infants and toddlers with congenital heart disease (CHD) after discharge.

Methods: Infants and toddlers with CHD discharged from a children's specialized hospital in southeast China were selected as the research subjects. The subjects were divided into the intervention group and the control group. The intervention group underwent a nutritional risk management program combined with traditional follow-up after discharge, whereas the control group received traditional follow-up after discharge. The primary outcome measure were the height-for-age Z-score (HAZ), weight-for-age Z-score (WAZ), and weight-for-height Z-score (WHZ) at different time point and the percentage of growth and development curves were also recorded and analyzed.

Results: There were no statistically significant differences in general characteristics between the two groups. However, in the intervention group, the percentages of HAZ < -2, WAZ < -2, and WHZ < -2 were lower than those in the control group at 3rd and 6th months after discharge (P < 0.05). The percentage of growth and development curves (3%-97%) was higher than that in the control group (P < 0.05). The readmission rate within 6 months after discharge in the intervention group was lower than that in the control group (P < 0.05).

Conclusion: Implementing nutritional risk management program for infants and toddlers with CHD after discharge can help improve postoperative malnutrition, promote growth and development and achieve catch-up growth as soon as possible.

Keywords: congenital heart disease; growth and development; infants and toddlers; nursing care; nutritional management.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
The nutritional risk management process.

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References

    1. Pierpont ME, Brueckner M, Chung WK, Garg V, Lacro RV, McGuire AL, et al. Genetic basis for congenital heart disease: revisited: a scientific statement from the American Heart Association. Circulation. (2018) 138(21):e653–711. 10.1161/CIR.0000000000000606 - DOI - PMC - PubMed
    1. Toole BJ, Toole LE, Kyle UG, Cabrera AG, Orellana RA, Coss-Bu JA. Perioperative nutritional support and malnutrition in infants and children with congenital heart disease. Congenit Heart Dis. (2014) 9(1):15–25. 10.1111/chd.12064 - DOI - PubMed
    1. Floh AA, Slicker J, Schwartz SM. Nutrition and mesenteric issues in pediatric cardiac critical care. Pediatr Crit Care Med. (2016) 17(8 Suppl 1):S243–9. 10.1097/PCC.0000000000000801 - DOI - PubMed
    1. Kondrup J, Rasmussen HH, Hamberg O, Stanga Z, Ad Hoc ESPEN Working Group. Nutritional risk screening (NRS 2002): a new method based on an analysis of controlled clinical trials. Clin Nutr. (2003) 22(3):321–36. 10.1016/s0261-5614(02)00214-5 - DOI - PubMed
    1. Shi H, Yang D, Tang K, Hu C, Li L, Zhang L, et al. Explainable machine learning model for predicting the occurrence of postoperative malnutrition in children with congenital heart disease. Clin Nutr. (2022) 41(1):202–10. 10.1016/j.clnu.2021.11.006 - DOI - PubMed

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