» Articles » PMID: 28131458

Biomarkers for the Diagnosis of Neonatal Sepsis and Necrotizing Enterocolitis: Clinical Practice Guidelines

Overview
Journal Early Hum Dev
Publisher Elsevier
Date 2017 Jan 30
PMID 28131458
Citations 32
Authors
Affiliations
Soon will be listed here.
Abstract

Sepsis and necrotizing enterocolitis are major contributors to morbidity and mortality in neonates, especially in those born preterm. While therapeutic interventions are available for both (for e.g. antibiotics), a major dilemma is early diagnosis so that these interventions can be done in a timely manner. As clinical evaluation alone is unreliable in identifying infants in the early stages of neonatal sepsis or necrotizing enterocolitis, there is a need to find specific biomarkers associated with these conditions to improve diagnostic capabilities. Optimal use of biomarkers in the identification and management of affected neonates requires an understanding of the properties of each marker within the timeline of the inflammatory response. We propose that early- and mid-phase markers such as neutrophil CD64 and procalcitonin should be combined with the late-phase biomarker C-reactive protein for maximal diagnostic benefit. Appropriately powered trials evaluating the serial measurements of these markers in decisions related to antibiotic stewardship in the neonatal population are indicated, in addition to more studies investigating other potentially useful biomarkers.

Citing Articles

Bacteria and host: what does this mean for sepsis bottleneck?.

Alharbi A, Sanyi R, Azhar E World J Emerg Med. 2025; 16(1):10-17.

PMID: 39906111 PMC: 11788106. DOI: 10.5847/wjem.j.1920-8642.2025.001.


Reliability of IL-6 Alone and in Combination for Diagnosis of Late Onset Sepsis: A Systematic Review.

Eichberger J, Resch E, Resch B Children (Basel). 2024; 11(4).

PMID: 38671704 PMC: 11049321. DOI: 10.3390/children11040486.


Blood Biomarkers of Neonatal Sepsis with Special Emphasis on the Monocyte Distribution Width Value as an Early Sepsis Index.

Mubaraki M, Faqihi A, AlQhtani F, Hafiz T, Alalhareth A, Thagfan F Medicina (Kaunas). 2023; 59(8).

PMID: 37629715 PMC: 10456917. DOI: 10.3390/medicina59081425.


Bioinformatic Analysis and Machine Learning Methods in Neonatal Sepsis: Identification of Biomarkers and Immune Infiltration.

Jiang Z, Luo Y, Wei L, Gu R, Zhang X, Zhou Y Biomedicines. 2023; 11(7).

PMID: 37509492 PMC: 10377054. DOI: 10.3390/biomedicines11071853.


The Role of Coagulase-Negative Staphylococci Biofilms on Late-Onset Sepsis: Current Challenges and Emerging Diagnostics and Therapies.

Franca A Antibiotics (Basel). 2023; 12(3).

PMID: 36978421 PMC: 10044083. DOI: 10.3390/antibiotics12030554.