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Research Article| Volume 66, P23-29, September 2022

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New insights on growth trajectory in infants with complex congenital heart disease

  • Amy Jo Lisanti, PhD, RN, CCNS
    Amy Jo Lisanti
    Correspondence
    Corresponding author at: 734 Schuylkill Ave, Office #12364, Philadelphia, PA 19146, United States of America.
    Contact
    Affiliations
    Department of Family and Community Health, School of Nursing, University of Pennsylvania, 418 Curie Blvd, Philadelphia, PA 19104, United States of America

    Research Institute, Children’s Hospital of Philadelphia, 734 Schuylkill Ave, Philadelphia, PA 19146, United States of America
    Search for articles by this author
  • Jungwon Min, PhD
    Jungwon Min
      Affiliations
      Department of Biomedical and Health informatics, Research Institute, Children’s Hospital of Philadelphia, 734 Schuylkill Ave, Philadelphia, PA 19146, United States of America
      Search for articles by this author
    • Nadya Golfenshtein, PhD, RN
      Nadya Golfenshtein
        Affiliations
        University of Haifa, 199 Aba Khoushy Ave. Mount Carmel, Haifa 3498838, Israel
        Search for articles by this author
      • Chitra Ravishankar, MD
        Chitra Ravishankar
          Affiliations
          Division of Cardiology, Children’s Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA 19104, United States of America

          Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd, Philadelphia, PA 19104, United States of America
          Search for articles by this author
        • John M. Costello, MD, MPH
          John M. Costello
            Affiliations
            Division of Cardiology, Department of Pediatrics, Medical University of South Carolina, 135 Rutledge Avenue, MSC 56, Charleston, SC 29425, United States of America
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          • Liming Huang, PhD
            Liming Huang
              Affiliations
              Office of Nursing Research, School of Nursing, University of Pennsylvania, 418 Curie Blvd, Philadelphia, PA 19104, United States of America
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            • Desiree Fleck, PhD
              Desiree Fleck
                Affiliations
                Department of Behavioral Health Sciences, School of Nursing, University of Pennsylvania, 418 Curie Blvd, Philadelphia, PA 19104, United States of America
                Search for articles by this author
              • Barbara Medoff-Cooper, PhD, RN
                Barbara Medoff-Cooper
                  Affiliations
                  Department of Family and Community Health, School of Nursing, University of Pennsylvania, 418 Curie Blvd, Philadelphia, PA 19104, United States of America

                  Research Institute, Children’s Hospital of Philadelphia, 734 Schuylkill Ave, Philadelphia, PA 19146, United States of America
                  Search for articles by this author
                Published:May 20, 2022DOI:https://doi.org/10.1016/j.pedn.2022.05.003
                New insights on growth trajectory in infants with complex congenital heart disease
                Previous ArticleParent-to-parent peer support for children and youth with special health care needs: Preliminary evaluation of a family partner program in a healthcare system
                Next ArticlePlacement disruption of children with disabilities in foster care
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                    Highlights

                    • •
                      We identified 4 classes of WAZ-GT in infants with cCHD.
                    • •
                      The same classes were found in one and two ventricle cCHD.
                    • •
                      Half of infants fell into poor WAZ-GT classes.
                    • •
                      Interventions can target the predictors of poor WAZ-GT.

                    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.

                    Keywords

                    • Congenital heart disease
                    • Growth
                    • Growth trajectory
                    • Infant

                    Abbreviations:

                    cCHD (complex congenital heart disease), LOS (length of stay), WAZ (weight-for-age Z-score), WAZ-GT (weight-for-age Z-score growth trajectory)
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                    Article info

                    Publication history

                    Published online: May 20, 2022
                    Accepted: May 5, 2022
                    Received in revised form: May 5, 2022
                    Received: January 18, 2022

                    Identification

                    DOI: https://doi.org/10.1016/j.pedn.2022.05.003

                    Copyright

                    © 2022 Elsevier Inc. All rights reserved.

                    ScienceDirect

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