Literature DB >> 32819913

Height of fever and invasive bacterial infection.

Kenneth A Michelson1, Mark I Neuman1, Christopher M Pruitt2, Sanyukta Desai3, Marie E Wang4, Adrienne G DePorre5, Rianna C Leazer6, Laura F Sartori7, Richard D Marble8, Sahar N Rooholamini9, Christopher Woll10, Fran Balamuth11, Paul L Aronson12.   

Abstract

OBJECTIVE: We aimed to evaluate the association of height of fever with invasive bacterial infection (IBI) among febrile infants <=60 days of age.
METHODS: In a secondary analysis of a multicentre case-control study of non-ill-appearing febrile infants <=60 days of age, we compared the maximum temperature (at home or in the emergency department) for infants with and without IBI. We then computed interval likelihood ratios (iLRs) for the diagnosis of IBI at each half-degree Celsius interval.
RESULTS: The median temperature was higher for infants with IBI (38.8°C; IQR 38.4-39.2) compared with those without IBI (38.4°C; IQR 38.2-38.9) (p<0.001). Temperatures 39°C-39.4°C and 39.5°C-39.9°C were associated with a higher likelihood of IBI (iLR 2.49 and 3.40, respectively), although 30.4% of febrile infants with IBI had maximum temperatures <38.5°C.
CONCLUSIONS: Although IBI is more likely with higher temperatures, height of fever alone should not be used for risk stratification of febrile infants. © Author(s) (or their employer(s)) 2021. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  accident & emergency; infectious diseases

Mesh:

Year:  2020        PMID: 32819913      PMCID: PMC7895851          DOI: 10.1136/archdischild-2019-318548

Source DB:  PubMed          Journal:  Arch Dis Child        ISSN: 0003-9888            Impact factor:   4.920


  7 in total

1.  A Clinical Prediction Rule to Identify Febrile Infants 60 Days and Younger at Low Risk for Serious Bacterial Infections.

Authors:  Nathan Kuppermann; Peter S Dayan; Deborah A Levine; Melissa Vitale; Leah Tzimenatos; Michael G Tunik; Mary Saunders; Richard M Ruddy; Genie Roosevelt; Alexander J Rogers; Elizabeth C Powell; Lise E Nigrovic; Jared Muenzer; James G Linakis; Kathleen Grisanti; David M Jaffe; John D Hoyle; Richard Greenberg; Rajender Gattu; Andrea T Cruz; Ellen F Crain; Daniel M Cohen; Anne Brayer; Dominic Borgialli; Bema Bonsu; Lorin Browne; Stephen Blumberg; Jonathan E Bennett; Shireen M Atabaki; Jennifer Anders; Elizabeth R Alpern; Benjamin Miller; T Charles Casper; J Michael Dean; Octavio Ramilo; Prashant Mahajan
Journal:  JAMA Pediatr       Date:  2019-04-01       Impact factor: 16.193

2.  A Prediction Model to Identify Febrile Infants ≤60 Days at Low Risk of Invasive Bacterial Infection.

Authors:  Paul L Aronson; Veronika Shabanova; Eugene D Shapiro; Marie E Wang; Lise E Nigrovic; Christopher M Pruitt; Adrienne G DePorre; Rianna C Leazer; Sanyukta Desai; Laura F Sartori; Richard D Marble; Sahar N Rooholamini; Russell J McCulloh; Christopher Woll; Fran Balamuth; Elizabeth R Alpern; Samir S Shah; Derek J Williams; Whitney L Browning; Nipam Shah; Mark I Neuman
Journal:  Pediatrics       Date:  2019-06-05       Impact factor: 7.124

Review 3.  D-dimer Interval Likelihood Ratios for Pulmonary Embolism.

Authors:  Michael A Kohn; Frederikus A Klok; Nick van Es
Journal:  Acad Emerg Med       Date:  2017-06-14       Impact factor: 3.451

4.  Reliability of parent-measured axillary temperatures.

Authors:  Melissa Klein; Thomas G DeWitt
Journal:  Clin Pediatr (Phila)       Date:  2010-03       Impact factor: 1.168

5.  Validation of the "Step-by-Step" Approach in the Management of Young Febrile Infants.

Authors:  Borja Gomez; Santiago Mintegi; Silvia Bressan; Liviana Da Dalt; Alain Gervaix; Laurence Lacroix
Journal:  Pediatrics       Date:  2016-07-05       Impact factor: 7.124

6.  Predictors of occult pneumococcal bacteremia in young febrile children.

Authors:  N Kuppermann; G R Fleisher; D M Jaffe
Journal:  Ann Emerg Med       Date:  1998-06       Impact factor: 5.721

7.  Management and outcomes of care of fever in early infancy.

Authors:  Robert H Pantell; Thomas B Newman; Jane Bernzweig; David A Bergman; John I Takayama; Mark Segal; Stacia A Finch; Richard C Wasserman
Journal:  JAMA       Date:  2004-03-10       Impact factor: 56.272

  7 in total
  1 in total

1.  Using Machine Learning to Predict Invasive Bacterial Infections in Young Febrile Infants Visiting the Emergency Department.

Authors:  I-Min Chiu; Chi-Yung Cheng; Wun-Huei Zeng; Ying-Hsien Huang; Chun-Hung Richard Lin
Journal:  J Clin Med       Date:  2021-04-26       Impact factor: 4.241

  1 in total

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