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1. neonatalsepsiscalculator.kaiserpermanente.orgInfection Probability Calculator - Neonatal Sepsis Calculator

   neonatalsepsiscalculator.kaiserpermanente.org

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   Using this tool, the risk of early-onset sepsis can be calculated in an infant born > 34 weeks gestation. The interactive calculator produces the probability of early onset sepsis per 1000 babies by entering values for the specified maternal risk factors along with the infant's clinical presentation.

   • Infection Probability Calculator

     Probability of Neonatal Early-Onset Sepsis Based on Maternal...

   • General FAQ

     KP EOS Calculator: Frequently Asked Questions. 5/11/2021...

   • FAQ for EMR Implementation

     KP EOS Calculator: Guidance for EMR Implementation Updated...

   • Classification

     Tachycardia (HR > 160) Tachypnea (RR > 60) Temperature...

   • References

     Estimating the probability of neonatal early-onset infection...

2. www.aafp.org › pubs › afpNeonatal Early-Onset Sepsis Calculator | AAFP

   www.aafp.org › pubs › afp

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   The Kaiser Permanente neonatal early-onset sepsis calculator ( https://neonatalsepsiscalculator.kaiserpermanente.org) is a tool designed to improve the selection of neonates with...

3. www.ncbi.nlm.nih.gov › pmc › articlesUse of Early-Onset Sepsis Risk Calculator for Neonates ≥ 34 ...

   www.ncbi.nlm.nih.gov › pmc › articles

   Apr 21, 2021 · To decrease unnecessary hospital admission and antibacterial treatment to well-appearing infants, researchers at Kaiser designed the EOS risk calculator, a robust logistic regression model, Kaiser Permanente Calculator (KPC) that provides individualized evaluations of early-onset sepsis risk in neonates ≥ 34 week's gestation . The EOS risk ...

   • Author: Roya Huseynova, Latifa Bin Mahmoud, Fahad Hamad Aljobair, Ogtay Huseynov, Halima Career, Parameaswar...
   • DOI: 10.7759/cureus.14620

   • Publish Year: 2021
   • Publication: Cureus. 2021 Apr; 13(4): e14620.

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5. www.ncbi.nlm.nih.gov › pmc › articlesKaiser Permanente early-onset sepsis calculator as a safe ...

   www.ncbi.nlm.nih.gov › pmc › articles

   Oct 12, 2023 · The early-onset sepsis calculator (EOSCAL), recommended by researchers from the Kaiser Permanente Hospitals, USA, is a widely accepted tool for risk stratification and management of neonates at risk for early-onset sepsis.

6. www.nature.com › articles › s41372/021/00981-3Identifying neonatal early-onset sepsis test and treatment ...

   www.nature.com › articles › s41372/021/00981-3

   Mar 1, 2021 · The Kaiser Permanente (KP) Neonatal Early-Onset Sepsis Calculator is an online tool that uses maternal risk factors and newborn examination findings to assist...

7. People also ask

   What is Kaiser Permanente neonatal early-onset sepsis calculator?

   • The Kaiser Permanente (KP) Neonatal Early-Onset Sepsis Calculator is an online tool that uses maternal risk factors and newborn examination findings to assist clinicians using the threshold model [ 14 ].

   Identifying neonatal early-onset sepsis test and treatment ... - Nature

   www.nature.com/articles/s41372-021-00981-3

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   What is the KP treatment threshold for neonatal early-onset sepsis (EOS)?

   • The KP treatment threshold is lower than that derived using all 3 methods. Neonatal early-onset sepsis (EOS) is an infrequent event, occurring in 0.3–0.5 per 1000 newborns, but many newborns with EOS initially appear well or have non-specific signs [ 1, 2, 3, 4 ].

   Identifying neonatal early-onset sepsis test and treatment ... - Nature

   www.nature.com/articles/s41372-021-00981-3

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   Can neonatal sepsis calculator reduce antibiotic use?

   • Implementation of neonatal sepsis calculator is associated with a reduction in laboratory tests, antibiotic use, and length of stay related to EOS evaluation. Our data showed that this simple clinical decision support tool could be considered a strategic and objective implementation of managing EOS that can reduce antibiotic usage by more than 27%.

   Use of Early-Onset Sepsis Risk Calculator for Neonates ≥ 34 Weeks in a

   www.ncbi.nlm.nih.gov/pmc/articles/PMC8140202/

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