Cargando…

A predictive model for preterm babies born < 30 weeks gestational age who will not attain full oral feedings

OBJECTIVE: Develop a model to predict gastrostomy tube (GT) for feeding at discharge in infants born < 30 weeks’ (w) gestational age (GA). STUDY DESIGN: A single-center retrospective study at academic NICU. Total of 391 (78 GT, 313 non-GT) infants < 30 w GA admitted in 2015–2018 split into tes...

Descripción completa

Detalles Bibliográficos
Autores principales: Gehle, Daniel B., Chapman, Alison, Gregoski, Mathew, Brunswick, Meghan, Anderson, Emily, Ramakrishnan, Viswanathan, Muhammad, Lutfiyya N., Head, William, Lesher, Aaron P., Ryan, Rita M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8501923/
https://www.ncbi.nlm.nih.gov/pubmed/34628479
http://dx.doi.org/10.1038/s41372-021-01219-y
_version_ 1784580773632802816
author Gehle, Daniel B.
Chapman, Alison
Gregoski, Mathew
Brunswick, Meghan
Anderson, Emily
Ramakrishnan, Viswanathan
Muhammad, Lutfiyya N.
Head, William
Lesher, Aaron P.
Ryan, Rita M.
author_facet Gehle, Daniel B.
Chapman, Alison
Gregoski, Mathew
Brunswick, Meghan
Anderson, Emily
Ramakrishnan, Viswanathan
Muhammad, Lutfiyya N.
Head, William
Lesher, Aaron P.
Ryan, Rita M.
author_sort Gehle, Daniel B.
collection PubMed
description OBJECTIVE: Develop a model to predict gastrostomy tube (GT) for feeding at discharge in infants born < 30 weeks’ (w) gestational age (GA). STUDY DESIGN: A single-center retrospective study at academic NICU. Total of 391 (78 GT, 313 non-GT) infants < 30 w GA admitted in 2015–2018 split into test (15–16) and validation (17–18) cohorts. Classification and regression tree analysis was used to identify predictive factors for GT. RESULTS: Several factors were associated with GT requirements. Four factors included in the model were postmenstrual age (PMA) at first oral feeding, birth GA, high-frequency ventilation exposure, necrotizing enterocolitis stage II/III. Area under the receiver operator characteristic curve was 0.944 in the test cohort, 0.815 in the validation cohort. Implementation plan based on the model was developed. CONCLUSIONS: We developed a predictive model to risk-stratify infants born < 30 w GA for failing full oral feeding. We hope implementation at 38 w PMA will result in earlier placement of needed GT and discharge.
format Online
Article
Text
id pubmed-8501923
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Nature Publishing Group US
record_format MEDLINE/PubMed
spelling pubmed-85019232021-10-12 A predictive model for preterm babies born < 30 weeks gestational age who will not attain full oral feedings Gehle, Daniel B. Chapman, Alison Gregoski, Mathew Brunswick, Meghan Anderson, Emily Ramakrishnan, Viswanathan Muhammad, Lutfiyya N. Head, William Lesher, Aaron P. Ryan, Rita M. J Perinatol Article OBJECTIVE: Develop a model to predict gastrostomy tube (GT) for feeding at discharge in infants born < 30 weeks’ (w) gestational age (GA). STUDY DESIGN: A single-center retrospective study at academic NICU. Total of 391 (78 GT, 313 non-GT) infants < 30 w GA admitted in 2015–2018 split into test (15–16) and validation (17–18) cohorts. Classification and regression tree analysis was used to identify predictive factors for GT. RESULTS: Several factors were associated with GT requirements. Four factors included in the model were postmenstrual age (PMA) at first oral feeding, birth GA, high-frequency ventilation exposure, necrotizing enterocolitis stage II/III. Area under the receiver operator characteristic curve was 0.944 in the test cohort, 0.815 in the validation cohort. Implementation plan based on the model was developed. CONCLUSIONS: We developed a predictive model to risk-stratify infants born < 30 w GA for failing full oral feeding. We hope implementation at 38 w PMA will result in earlier placement of needed GT and discharge. Nature Publishing Group US 2021-10-09 2022 /pmc/articles/PMC8501923/ /pubmed/34628479 http://dx.doi.org/10.1038/s41372-021-01219-y Text en © The Author(s), under exclusive licence to Springer Nature America, Inc. 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Gehle, Daniel B.
Chapman, Alison
Gregoski, Mathew
Brunswick, Meghan
Anderson, Emily
Ramakrishnan, Viswanathan
Muhammad, Lutfiyya N.
Head, William
Lesher, Aaron P.
Ryan, Rita M.
A predictive model for preterm babies born < 30 weeks gestational age who will not attain full oral feedings
title A predictive model for preterm babies born < 30 weeks gestational age who will not attain full oral feedings
title_full A predictive model for preterm babies born < 30 weeks gestational age who will not attain full oral feedings
title_fullStr A predictive model for preterm babies born < 30 weeks gestational age who will not attain full oral feedings
title_full_unstemmed A predictive model for preterm babies born < 30 weeks gestational age who will not attain full oral feedings
title_short A predictive model for preterm babies born < 30 weeks gestational age who will not attain full oral feedings
title_sort predictive model for preterm babies born < 30 weeks gestational age who will not attain full oral feedings
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8501923/
https://www.ncbi.nlm.nih.gov/pubmed/34628479
http://dx.doi.org/10.1038/s41372-021-01219-y
work_keys_str_mv AT gehledanielb apredictivemodelforpretermbabiesborn30weeksgestationalagewhowillnotattainfulloralfeedings
AT chapmanalison apredictivemodelforpretermbabiesborn30weeksgestationalagewhowillnotattainfulloralfeedings
AT gregoskimathew apredictivemodelforpretermbabiesborn30weeksgestationalagewhowillnotattainfulloralfeedings
AT brunswickmeghan apredictivemodelforpretermbabiesborn30weeksgestationalagewhowillnotattainfulloralfeedings
AT andersonemily apredictivemodelforpretermbabiesborn30weeksgestationalagewhowillnotattainfulloralfeedings
AT ramakrishnanviswanathan apredictivemodelforpretermbabiesborn30weeksgestationalagewhowillnotattainfulloralfeedings
AT muhammadlutfiyyan apredictivemodelforpretermbabiesborn30weeksgestationalagewhowillnotattainfulloralfeedings
AT headwilliam apredictivemodelforpretermbabiesborn30weeksgestationalagewhowillnotattainfulloralfeedings
AT lesheraaronp apredictivemodelforpretermbabiesborn30weeksgestationalagewhowillnotattainfulloralfeedings
AT ryanritam apredictivemodelforpretermbabiesborn30weeksgestationalagewhowillnotattainfulloralfeedings
AT gehledanielb predictivemodelforpretermbabiesborn30weeksgestationalagewhowillnotattainfulloralfeedings
AT chapmanalison predictivemodelforpretermbabiesborn30weeksgestationalagewhowillnotattainfulloralfeedings
AT gregoskimathew predictivemodelforpretermbabiesborn30weeksgestationalagewhowillnotattainfulloralfeedings
AT brunswickmeghan predictivemodelforpretermbabiesborn30weeksgestationalagewhowillnotattainfulloralfeedings
AT andersonemily predictivemodelforpretermbabiesborn30weeksgestationalagewhowillnotattainfulloralfeedings
AT ramakrishnanviswanathan predictivemodelforpretermbabiesborn30weeksgestationalagewhowillnotattainfulloralfeedings
AT muhammadlutfiyyan predictivemodelforpretermbabiesborn30weeksgestationalagewhowillnotattainfulloralfeedings
AT headwilliam predictivemodelforpretermbabiesborn30weeksgestationalagewhowillnotattainfulloralfeedings
AT lesheraaronp predictivemodelforpretermbabiesborn30weeksgestationalagewhowillnotattainfulloralfeedings
AT ryanritam predictivemodelforpretermbabiesborn30weeksgestationalagewhowillnotattainfulloralfeedings