Literature DB >> 32203177

Can we improve early identification of neonatal late-onset sepsis? A validated prediction model.

Ori Goldberg1,2, Nofar Amitai1,3, Gabriel Chodick1,4, Reuben Bromiker1,2, Oded Scheuerman1,5,6, Haim Ben-Zvi1,7, Gil Klinger8,9.   

Abstract

OBJECTIVE: No single test can accurately identify neonatal late-onset sepsis (LOS). Our aim was to use clinical evaluation with laboratory tests to rapidly assess sepsis risk. STUDY
DESIGN: A retrospective case-control study was performed in a tertiary Neonatal Center during the years 2016-2019. Infants with bacteriologically confirmed LOS were compared with control infants. A clinical health evaluation score was assigned to each infant. A prediction model was developed and validated by multivariable analysis.
RESULTS: The study included 145 infants, 48 with sepsis, and 97 controls. LOS was independently associated with: sick appearance (OR: 5.7, 95% CI: 1.1-29.1), C-reactive protein > 0.75 (OR: 5.4, 95% CI: 1.1-26.3), and neutrophil-to-lymphocyte ratio > 1.5 (OR: 6.7, 95% CI: 1.2-38.5). Our model had an area under the receiver operating characteristic curve of 0.92 (95% CI: 0.86-0.97).
CONCLUSIONS: Clinical evaluation with neutrophil-to-lymphocyte ratio and C-reactive protein can rapidly identify LOS enabling decreased health costs and antibiotic use.

Entities:  

Year:  2020        PMID: 32203177     DOI: 10.1038/s41372-020-0649-6

Source DB:  PubMed          Journal:  J Perinatol        ISSN: 0743-8346            Impact factor:   2.521


  1 in total

1.  C-reactive protein for diagnosing late-onset infection in newborn infants.

Authors:  Jennifer Valeska Elli Brown; Nicholas Meader; Jemma Cleminson; William McGuire
Journal:  Cochrane Database Syst Rev       Date:  2019-01-14
  1 in total
  3 in total

Review 1.  Artificial and human intelligence for early identification of neonatal sepsis.

Authors:  Brynne A Sullivan; Sherry L Kausch; Karen D Fairchild
Journal:  Pediatr Res       Date:  2022-09-20       Impact factor: 3.953

Review 2.  Prediction modelling in the early detection of neonatal sepsis.

Authors:  Puspita Sahu; Elstin Anbu Raj Stanly; Leslie Edward Simon Lewis; Krishnananda Prabhu; Mahadev Rao; Vijayanarayana Kunhikatta
Journal:  World J Pediatr       Date:  2022-01-05       Impact factor: 2.764

3.  The Utility of Peripheral Blood Leucocyte Ratios as Biomarkers in Neonatal Sepsis: A Systematic Review and Meta-Analysis.

Authors:  Juanjuan Zhang; Jun'an Zeng; Liangjuan Zhang; Xiping Yu; Jinzhen Guo; Zhankui Li
Journal:  Front Pediatr       Date:  2022-07-22       Impact factor: 3.569

  3 in total

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