Procalcitonin-Based Antibiotic Use for Neonatal Early-Onset Bacterial Infections: Pre- and Post-Intervention Clinical

Hidetoshi Go1, Nobuhiko Nagano1, Yuki Sato1

  • 1Department of Pediatrics and Child Health, Nihon University School of Medicine, Tokyo 1738610, Japan.

PubMed

Insights

New diagnostic criteria using serum procalcitonin (PCT) effectively reduced antibiotic use in newborns. The criteria proved safe and effective for diagnosing early-onset bacterial infections without increasing infection rates.

Area of Science:

  • Neonatal Medicine
  • Clinical Diagnostics
  • Infectious Disease

Background:

  • Early-onset bacterial infection is a critical concern in neonatal intensive care units.
  • Accurate diagnosis is essential to guide appropriate antibiotic therapy and prevent overuse.

Purpose of the Study:

  • To verify the effectiveness of novel diagnostic criteria based on serum procalcitonin (PCT) for early-onset bacterial infection.
  • To compare antibiotic use and infection incidence before and after the introduction of new PCT criteria.

Main Methods:

  • Retrospective study of newborns in a neonatal intensive care unit (2018-2022).
  • Comparison of antibiotic use (DOT, percentage) and infection rates between pre-intervention (n=737) and post-intervention (n=686) groups.
  • Utilized the 95th percentile cutoff of the serum PCT reference curve for diagnosis.

Main Results:

  • The post-intervention group showed significantly lower antibiotic use: 82.0 DOT/1000 patient days vs. 211.3 DOT/1000 patient days (p < 0.01).
  • Fewer newborns received antibiotics in the post-intervention group (12% vs. 38%, p < 0.01).
  • Incidence of early-onset bacterial infections remained similar between groups (2% each, p = 0.99).

Conclusions:

  • The novel diagnostic criteria using serum PCT are safe and effective for managing early-onset bacterial infections.
  • Implementation of these criteria promotes appropriate antibiotic stewardship in neonates.
  • Reduced antibiotic exposure without compromising infection detection rates.