Role of biomarkers in pediatric sepsis: What evidence says?

Amit Agrawal1, Dalwinder Janjua2, Gaurav Jadon3

  • 1Department of Pediatrics, Gandhi Medical College, Hamidia Hospital Campus, Bhopal 462001, Madhya Pradesh, India. agrawaldramit@yahoo.co.in.

Insights

Identifying the cause of sepsis in children is crucial. Biomarkers like C-reactive protein and procalcitonin show promise but no single marker can definitively diagnose all pediatric sepsis infections.

Area of Science:

  • Pediatric critical care medicine
  • Infectious diseases
  • Clinical diagnostics

Background:

  • Sepsis is a leading cause of morbidity and mortality in hospitalized children.
  • Effective treatment relies on distinguishing bacterial from non-bacterial infections to guide fluid resuscitation and antibiotic therapy.
  • Current laboratory methods may not always identify the causative agent, necessitating improved diagnostic approaches.

Purpose of the Study:

  • To critically review the evidence for using biomarkers in diagnosing pediatric sepsis.
  • To evaluate the role of various biomarkers in identifying infection types and guiding treatment.
  • To assess the potential of biomarkers in monitoring sepsis progression and recovery.

Main Methods:

  • A comprehensive literature search was conducted using PubMed, Cochrane Library, and Google Scholar.
  • Studies evaluating biomarkers such as C-reactive protein, ferritin, lactate, procalcitonin, and tumor necrosis factor-alpha were reviewed.
  • Evidence regarding diagnostic accuracy and therapeutic guidance was critically analyzed.

Main Results:

  • Various biomarkers demonstrate potential in identifying pediatric sepsis, with differing sensitivities.
  • Biomarkers like C-reactive protein and procalcitonin are commonly investigated for sepsis diagnosis.
  • No single biomarker has proven sufficient for identifying all types of infections in pediatric sepsis.

Conclusions:

  • Biomarker assessment can aid in diagnosing and managing pediatric sepsis.
  • Further robust studies are needed to compare the efficacy of different biomarkers.
  • Optimizing biomarker use is essential for guiding appropriate antibiotic therapy and improving patient outcomes.

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