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Unifying criteria for late neonatal sepsis: Proposal for an algorithm of diagnostic surveillance

  • Universidad Peruana Cayetano Heredia, Instituto de Medicina Tropical Alexander von Humboldt
  • University of Texas System

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

Infections are a major cause of death in neonates. Diagnosis of neonatal sepsis is a major challenge because newborns have very nonspecific clinical signs and auxiliary tests have low sensitivity. In order to improve the correct diagnosis of this condition, we propose an algorithm of diagnostic surveillance for late neonatal sepsis in Peru and countries of the region. The algorithm classifies the episodes as confirmed, probable or possible sepsis, and especially seeks to identify those episodes that do not correspond to sepsis, preventing other diseases to be qualified as "sepsis". Better diagnostics will enable more realistic rates of neonatal sepsis, improve the use of antibiotics and avoid their negative effects on newborns, as well as provide a more accurate view of their impact on public health.

Translated title of the contributionUnificar los criterios de sepsis neonatal tardía: Propuesta de un algoritmo de vigilancia diagnóstica
Original languageEnglish
Pages (from-to)358-363
Number of pages6
JournalRevista Peruana de Medicina Experimental y Salud Publica
Volume31
Issue number2
StatePublished - 2014

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Algorithms
  • Diagnosis
  • Infant
  • Neonatal mortality
  • Newborn
  • Sepsis

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