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Exploring the use of cluster analysis to assess antibiotic stewardship in critically-ill neonates in a low resource setting
BACKGROUND: Sepsis is the third leading cause of neonatal death in low and middle-income countries, accounting for one third of all deaths in Ethiopia. A concerning issue is the increasing number of multidrug-resistant microorganisms facilitated by suboptimal antibiotic stewardship. The study aims t...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10617092/ https://www.ncbi.nlm.nih.gov/pubmed/37904230 http://dx.doi.org/10.1186/s13756-023-01325-w |
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author | Benoni, Roberto Balestri, Eleonora Endrias, Tariqua Tolera, Jiksa Borellini, Martina Calia, Margherita Biasci, Filippo Pisani, Luigi |
author_facet | Benoni, Roberto Balestri, Eleonora Endrias, Tariqua Tolera, Jiksa Borellini, Martina Calia, Margherita Biasci, Filippo Pisani, Luigi |
author_sort | Benoni, Roberto |
collection | PubMed |
description | BACKGROUND: Sepsis is the third leading cause of neonatal death in low and middle-income countries, accounting for one third of all deaths in Ethiopia. A concerning issue is the increasing number of multidrug-resistant microorganisms facilitated by suboptimal antibiotic stewardship. The study aims to identify clusters of newborns switching antibiotic lines for sepsis in a neonatal intensive care unit (NICU) in Ethiopia, and to explore their potential association with sepsis outcomes. METHODS: A retrospective cohort study was conducted including all newborns discharged with a diagnosis of probable neonatal sepsis from the St. Luke Catholic Hospital NICU between April and July 2021. The antibiotic management protocol included two lines according to WHO guidelines and a third line based on internal hospital guidelines. In the cluster analysis, the Gower distance was estimated based on the antibiotics employed in the different lines and the duration of each line. Mortality and respiratory distress (RD) were the response variables. RESULTS: In the study period, 456 newborns were admitted to the NICU and 196 (42.8%) had probable neonatal sepsis. Four antibiotic management clusters were identified. Cluster 1 (n = 145, 74.4%) had no antibiotic switches, using only the first line. Cluster 2 (n = 26, 13.3%) had one switch from the first to the second line. Cluster 4 (n = 9, 4.6%) had two switches: from first to second and then to third line. In cluster 3 (n = 15, 7.7%), newborns were switched from ceftriaxone/cloxacillin as second line to off-protocol antibiotics. There were no differences in sex, age, weight on admission or crude mortality between clusters. Cluster 3 included a higher frequency of infants who did not breathe at birth (53.3%, p = 0.011) and that necessitated bag ventilation (46.7%, p = 0.039) compared to the other clusters. CONCLUSIONS: The first antibiotic line failed in one out of four newborns with probable sepsis while third-generation cephalosporins were insufficient in one in ten patients. Cluster analysis can provide valuable insights into antibiotic treatment patterns and their potential implications. This approach may support antibiotic stewardship and aid in contrasting antimicrobial resistance in limited resource settings. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13756-023-01325-w. |
format | Online Article Text |
id | pubmed-10617092 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-106170922023-11-01 Exploring the use of cluster analysis to assess antibiotic stewardship in critically-ill neonates in a low resource setting Benoni, Roberto Balestri, Eleonora Endrias, Tariqua Tolera, Jiksa Borellini, Martina Calia, Margherita Biasci, Filippo Pisani, Luigi Antimicrob Resist Infect Control Research BACKGROUND: Sepsis is the third leading cause of neonatal death in low and middle-income countries, accounting for one third of all deaths in Ethiopia. A concerning issue is the increasing number of multidrug-resistant microorganisms facilitated by suboptimal antibiotic stewardship. The study aims to identify clusters of newborns switching antibiotic lines for sepsis in a neonatal intensive care unit (NICU) in Ethiopia, and to explore their potential association with sepsis outcomes. METHODS: A retrospective cohort study was conducted including all newborns discharged with a diagnosis of probable neonatal sepsis from the St. Luke Catholic Hospital NICU between April and July 2021. The antibiotic management protocol included two lines according to WHO guidelines and a third line based on internal hospital guidelines. In the cluster analysis, the Gower distance was estimated based on the antibiotics employed in the different lines and the duration of each line. Mortality and respiratory distress (RD) were the response variables. RESULTS: In the study period, 456 newborns were admitted to the NICU and 196 (42.8%) had probable neonatal sepsis. Four antibiotic management clusters were identified. Cluster 1 (n = 145, 74.4%) had no antibiotic switches, using only the first line. Cluster 2 (n = 26, 13.3%) had one switch from the first to the second line. Cluster 4 (n = 9, 4.6%) had two switches: from first to second and then to third line. In cluster 3 (n = 15, 7.7%), newborns were switched from ceftriaxone/cloxacillin as second line to off-protocol antibiotics. There were no differences in sex, age, weight on admission or crude mortality between clusters. Cluster 3 included a higher frequency of infants who did not breathe at birth (53.3%, p = 0.011) and that necessitated bag ventilation (46.7%, p = 0.039) compared to the other clusters. CONCLUSIONS: The first antibiotic line failed in one out of four newborns with probable sepsis while third-generation cephalosporins were insufficient in one in ten patients. Cluster analysis can provide valuable insights into antibiotic treatment patterns and their potential implications. This approach may support antibiotic stewardship and aid in contrasting antimicrobial resistance in limited resource settings. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13756-023-01325-w. BioMed Central 2023-10-31 /pmc/articles/PMC10617092/ /pubmed/37904230 http://dx.doi.org/10.1186/s13756-023-01325-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Benoni, Roberto Balestri, Eleonora Endrias, Tariqua Tolera, Jiksa Borellini, Martina Calia, Margherita Biasci, Filippo Pisani, Luigi Exploring the use of cluster analysis to assess antibiotic stewardship in critically-ill neonates in a low resource setting |
title | Exploring the use of cluster analysis to assess antibiotic stewardship in critically-ill neonates in a low resource setting |
title_full | Exploring the use of cluster analysis to assess antibiotic stewardship in critically-ill neonates in a low resource setting |
title_fullStr | Exploring the use of cluster analysis to assess antibiotic stewardship in critically-ill neonates in a low resource setting |
title_full_unstemmed | Exploring the use of cluster analysis to assess antibiotic stewardship in critically-ill neonates in a low resource setting |
title_short | Exploring the use of cluster analysis to assess antibiotic stewardship in critically-ill neonates in a low resource setting |
title_sort | exploring the use of cluster analysis to assess antibiotic stewardship in critically-ill neonates in a low resource setting |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10617092/ https://www.ncbi.nlm.nih.gov/pubmed/37904230 http://dx.doi.org/10.1186/s13756-023-01325-w |
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