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...
Autores principales: | , , , , , , , , , |
---|---|
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 |