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Prediction Models for Febrile Infants: Time for a Unified Field Theory.

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Title: Prediction Models for Febrile Infants: Time for a Unified Field Theory.
Authors: Kuppermann, Nathan, Mahajan, Prashant, Ramilo, Octavio
Source: Pediatrics. Jul2019, Vol. 144 Issue 1, p1-3. 3p.
Subjects: Diagnosis of bacterial diseases, Bacterial disease risk factors, Algorithms, Fever, Risk assessment, Gene expression profiling, Statistical models, Disease complications, Children
Abstract: The authors discuss a study by P. L. Aronson and colleagues, published within the issue about a prediction model for identifying febrile infants at low risk of invasive bacterial infection. Topics covered include factors associated with low risk of invasive bacterial infections (IBI), strengths and limitations of the study, and expectation on the use of gene expression analysis in the evaluation of young febrile infants.
Database: Psychology and Behavioral Sciences Collection
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  Availability: 0
Header DbId: pbh
DbLabel: Psychology and Behavioral Sciences Collection
An: 139512594
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Prediction Models for Febrile Infants: Time for a Unified Field Theory.
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  Data: <searchLink fieldCode="AR" term="%22Kuppermann%2C+Nathan%22">Kuppermann, Nathan</searchLink><br /><searchLink fieldCode="AR" term="%22Mahajan%2C+Prashant%22">Mahajan, Prashant</searchLink><br /><searchLink fieldCode="AR" term="%22Ramilo%2C+Octavio%22">Ramilo, Octavio</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Pediatrics%22">Pediatrics</searchLink>. Jul2019, Vol. 144 Issue 1, p1-3. 3p.
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  Data: <searchLink fieldCode="DE" term="%22Diagnosis+of+bacterial+diseases%22">Diagnosis of bacterial diseases</searchLink><br /><searchLink fieldCode="DE" term="%22Bacterial+disease+risk+factors%22">Bacterial disease risk factors</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Fever%22">Fever</searchLink><br /><searchLink fieldCode="DE" term="%22Risk+assessment%22">Risk assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Gene+expression+profiling%22">Gene expression profiling</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+models%22">Statistical models</searchLink><br /><searchLink fieldCode="DE" term="%22Disease+complications%22">Disease complications</searchLink><br /><searchLink fieldCode="DE" term="%22Children%22">Children</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: The authors discuss a study by P. L. Aronson and colleagues, published within the issue about a prediction model for identifying febrile infants at low risk of invasive bacterial infection. Topics covered include factors associated with low risk of invasive bacterial infections (IBI), strengths and limitations of the study, and expectation on the use of gene expression analysis in the evaluation of young febrile infants.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=139512594
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1542/peds.2019-1375
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 3
        StartPage: 1
    Subjects:
      – SubjectFull: Diagnosis of bacterial diseases
        Type: general
      – SubjectFull: Bacterial disease risk factors
        Type: general
      – SubjectFull: Algorithms
        Type: general
      – SubjectFull: Fever
        Type: general
      – SubjectFull: Risk assessment
        Type: general
      – SubjectFull: Gene expression profiling
        Type: general
      – SubjectFull: Statistical models
        Type: general
      – SubjectFull: Disease complications
        Type: general
      – SubjectFull: Children
        Type: general
    Titles:
      – TitleFull: Prediction Models for Febrile Infants: Time for a Unified Field Theory.
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            NameFull: Kuppermann, Nathan
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            NameFull: Mahajan, Prashant
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            NameFull: Ramilo, Octavio
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            – D: 01
              M: 07
              Text: Jul2019
              Type: published
              Y: 2019
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              Value: 144
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          Titles:
            – TitleFull: Pediatrics
              Type: main
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