Large differences in neonatal drug use between NICUs are common practice: time for consensus?
Robert B Flint1,2,3, Floor van Beek1, Peter Andriessen4
1Department of Pediatrics, Division of Neonatology, Erasmus University Medical Center - Sophia Children's Hospital, Rotterdam, The Netherlands.
Neonatal drug prescribing varies significantly between intensive care units. Off-label drug use, particularly for nervous system and cardiovascular medications, highlights the need for more research to ensure safe and effective neonatal treatments.
Area of Science:
- Neonatal pharmacology
- Clinical pharmacy
- Pediatric intensive care
Background:
- Limited evidence exists on drug use in newborns, leading to potential variations in prescription practices.
- Understanding current drug prescription patterns in neonatal intensive care units (NICUs) is crucial for improving patient care.
Purpose of the Study:
- To investigate and compare drug prescription differences among neonatal intensive care units (NICUs) in the Netherlands.
- To assess the on/off-label status of prescribed drugs in relation to neonatal age.
Main Methods:
- A multicenter study involving neonates admitted over 12 months to four NICUs.
- Drugs were classified using the Anatomical Therapeutic Chemical (ATC) system.
- Treatment protocols for pain, intubation, convulsions, and hypotension were compared.
Main Results:
- 1491 neonates and 10,895 prescriptions were analyzed; 23% of prescriptions were off-label for neonatal age.
- Anti-infective drugs were most common (3161 prescriptions), with 4% off-label.
- Nervous system drugs (2500 prescriptions, 31% off-label) and cardiovascular drugs showed significant inter-NICU prescribing variations.
Conclusions:
- Drug utilization in neonatal clinical practice exhibits wide variability.
- Drug classes with higher off-label use proportions, such as cardiovascular and nervous system drugs, displayed the greatest inter-NICU differences.
- Prioritizing drug research in neonates is essential for ensuring safe, appropriate medications and optimal treatment outcomes.
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