Innovating Evaluation and Treatment of Intrapartum Fevers : Where Do We Go from Here?
Thieme. All rights reserved..
As intrapartum fevers are not always infectious in origin, determining whether antibiotics are indicated is challenging. We previously sought to create a point-of-care calculator using clinical data available at the time of an intrapartum fever to identify the subset of women who require antibiotic treatment to avoid maternal and neonatal morbidity. Despite the use of a comprehensive dataset from our institutions, we were unable to propose a valid and highly predictive model. In this commentary, we discuss why our model failed, as well as future research directions to identify and treat true intraamniotic infection. Developing a risk-stratification model is paramount to minimizing maternal and neonatal exposure to unnecessary antibiotics while allowing for early identification of women and babies at risk for infectious morbidity. KEY POINTS: · Determining whether antibiotics are indicated in intrapartum fever is challenging.. · Developing a risk-stratification model for febrile laboring women is critical to decreasing harm.. · A point-of-care calculator based on clinical and biomarker data is the necessary approach.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:40 |
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| Enthalten in: |
American journal of perinatology - 40(2023), 3 vom: 18. Feb., Seite 250-254 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Wilkie, Gianna L [VerfasserIn] |
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| Links: |
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| Anmerkungen: |
Date Completed 31.01.2023 Date Revised 04.03.2023 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1055/s-0041-1727279 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM324331584 |
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| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Thieme. All rights reserved. | ||
| 520 | |a As intrapartum fevers are not always infectious in origin, determining whether antibiotics are indicated is challenging. We previously sought to create a point-of-care calculator using clinical data available at the time of an intrapartum fever to identify the subset of women who require antibiotic treatment to avoid maternal and neonatal morbidity. Despite the use of a comprehensive dataset from our institutions, we were unable to propose a valid and highly predictive model. In this commentary, we discuss why our model failed, as well as future research directions to identify and treat true intraamniotic infection. Developing a risk-stratification model is paramount to minimizing maternal and neonatal exposure to unnecessary antibiotics while allowing for early identification of women and babies at risk for infectious morbidity. KEY POINTS: · Determining whether antibiotics are indicated in intrapartum fever is challenging.. · Developing a risk-stratification model for febrile laboring women is critical to decreasing harm.. · A point-of-care calculator based on clinical and biomarker data is the necessary approach | ||
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| 700 | 1 | |a Ona, Samsiya |e verfasserin |4 aut | |
| 700 | 1 | |a Easter, Sarah Rae |e verfasserin |4 aut | |
| 700 | 1 | |a Chou, Joseph |e verfasserin |4 aut | |
| 700 | 1 | |a Roberts, Drucilla |e verfasserin |4 aut | |
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| 700 | 1 | |a Diouf, Khady |e verfasserin |4 aut | |
| 700 | 1 | |a Riley, Laura |e verfasserin |4 aut | |
| 700 | 1 | |a Prabhu, Malavika |e verfasserin |4 aut | |
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