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Utilization of a Neonatal Early-Onset Sepsis Calculator to Guide Initial Newborn Management

Within our hospital system, all infants born to mothers with chorioamnionitis were directly admitted to the neonatal intensive care unit (NICU) for evaluation and treatment of presumed sepsis for a minimum of 48 hours, regardless of clinical appearance. Implementation of a risk-stratification system...

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Autores principales: Leonardi, Bianca M., Binder, Margaret, Griswold, Katherine J., Yalcinkaya, Gulgun F., Walsh, Michele C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6831045/
https://www.ncbi.nlm.nih.gov/pubmed/31745517
http://dx.doi.org/10.1097/pq9.0000000000000214
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author Leonardi, Bianca M.
Binder, Margaret
Griswold, Katherine J.
Yalcinkaya, Gulgun F.
Walsh, Michele C.
author_facet Leonardi, Bianca M.
Binder, Margaret
Griswold, Katherine J.
Yalcinkaya, Gulgun F.
Walsh, Michele C.
author_sort Leonardi, Bianca M.
collection PubMed
description Within our hospital system, all infants born to mothers with chorioamnionitis were directly admitted to the neonatal intensive care unit (NICU) for evaluation and treatment of presumed sepsis for a minimum of 48 hours, regardless of clinical appearance. Implementation of a risk-stratification system for thesWe high-risk infants based on the early onset sepsis (EOS) calculator may decrease NICU admissions and antibiotics exposure in well-appearing neonates. METHODS: We used The Model for Improvement as a framework for designing this initiative. Participants were inborn infants 35 weeks and older born to mothers with chorioamnionitis and/or fever. Plan Do Study Act (PDSA) cycles were utilized to educate staff, monitor for sepsis, and follow adherence to the calculator in the newborn nursery. RESULTS: From June 2015 to June 2016, there were 312 at-risk infants identified and evaluated on the EOS calculator. Of these 312 infants, 228 did not require admission to the NICU based on their risk assessment using the online calculator. Implementation of the Kaiser EOS calculator protocol for at-risk infants decreased NICU admission rates, decreased practitioner practice variability, decreased the number of painful procedures, promoted family bonding, resulted in higher breastfeeding rates at hospital discharge, diminished financial burden, and promoted antibiotic stewardship. CONCLUSION: This study demonstrates that the implementation of the sepsis risk calculator at an academic medical center can decrease the number of asymptomatic infants transferred to the NICU for empiric antibiotic treatment.
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spelling pubmed-68310452019-11-19 Utilization of a Neonatal Early-Onset Sepsis Calculator to Guide Initial Newborn Management Leonardi, Bianca M. Binder, Margaret Griswold, Katherine J. Yalcinkaya, Gulgun F. Walsh, Michele C. Pediatr Qual Saf Individual QI projects from single institutions Within our hospital system, all infants born to mothers with chorioamnionitis were directly admitted to the neonatal intensive care unit (NICU) for evaluation and treatment of presumed sepsis for a minimum of 48 hours, regardless of clinical appearance. Implementation of a risk-stratification system for thesWe high-risk infants based on the early onset sepsis (EOS) calculator may decrease NICU admissions and antibiotics exposure in well-appearing neonates. METHODS: We used The Model for Improvement as a framework for designing this initiative. Participants were inborn infants 35 weeks and older born to mothers with chorioamnionitis and/or fever. Plan Do Study Act (PDSA) cycles were utilized to educate staff, monitor for sepsis, and follow adherence to the calculator in the newborn nursery. RESULTS: From June 2015 to June 2016, there were 312 at-risk infants identified and evaluated on the EOS calculator. Of these 312 infants, 228 did not require admission to the NICU based on their risk assessment using the online calculator. Implementation of the Kaiser EOS calculator protocol for at-risk infants decreased NICU admission rates, decreased practitioner practice variability, decreased the number of painful procedures, promoted family bonding, resulted in higher breastfeeding rates at hospital discharge, diminished financial burden, and promoted antibiotic stewardship. CONCLUSION: This study demonstrates that the implementation of the sepsis risk calculator at an academic medical center can decrease the number of asymptomatic infants transferred to the NICU for empiric antibiotic treatment. Wolters Kluwer Health 2019-09-23 /pmc/articles/PMC6831045/ /pubmed/31745517 http://dx.doi.org/10.1097/pq9.0000000000000214 Text en Copyright © 2019 the Author(s). Published by Wolters Kluwer Health, Inc. This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY) (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Individual QI projects from single institutions
Leonardi, Bianca M.
Binder, Margaret
Griswold, Katherine J.
Yalcinkaya, Gulgun F.
Walsh, Michele C.
Utilization of a Neonatal Early-Onset Sepsis Calculator to Guide Initial Newborn Management
title Utilization of a Neonatal Early-Onset Sepsis Calculator to Guide Initial Newborn Management
title_full Utilization of a Neonatal Early-Onset Sepsis Calculator to Guide Initial Newborn Management
title_fullStr Utilization of a Neonatal Early-Onset Sepsis Calculator to Guide Initial Newborn Management
title_full_unstemmed Utilization of a Neonatal Early-Onset Sepsis Calculator to Guide Initial Newborn Management
title_short Utilization of a Neonatal Early-Onset Sepsis Calculator to Guide Initial Newborn Management
title_sort utilization of a neonatal early-onset sepsis calculator to guide initial newborn management
topic Individual QI projects from single institutions
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6831045/
https://www.ncbi.nlm.nih.gov/pubmed/31745517
http://dx.doi.org/10.1097/pq9.0000000000000214
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