Drug related adverse event assessment in neonates in clinical trials and clinical care

被引:0
作者
Yalcin, Nadir [1 ]
van den Anker, John [2 ]
Samiee-Zafarghandy, Samira [3 ]
Allegaert, Karel [4 ,5 ,6 ]
机构
[1] Hacettepe Univ, Fac Pharm, Dept Clin Pharm, Ankara, Turkiye
[2] Childrens Natl Hosp, Div Clin Pharmacol, Washington, DC USA
[3] McMaster Univ, Dept Pediat, Div Neonatol, Hamilton, ON, Canada
[4] Dept Pharmaceut & Pharmacol Sci, B-3000 Leuven, Belgium
[5] Dept Dev & Regenerat, Leuven, Belgium
[6] Erasmus MC, Dept Hosp Pharm, Rotterdam, Netherlands
关键词
Newborn; clinical pharmacology; adverse event; adverse drug reaction; causality; severity; developmental pharmacology; pharmacovigilance; ACUTE KIDNEY INJURY; INFANTS; SAFETY; IDENTIFICATION; ALGORITHM; CHILDREN;
D O I
10.1080/17512433.2024.2390927
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
IntroductionAssessment of drug-related adverse events is essential to fully understand the benefit-risk balance of any drug exposure, weighing efficacy versus safety. This is needed for both drug labeling and clinical decision-making. Assessment is based on seriousness, severity and causality, be it more difficult to apply in neonates. Adverse event detection or prevention in the neonatal clinical setting is also more complicated because of polypharmacy, and off-label or unlicensed pharmacotherapy.Areas coveredTools became available to assess severity and causality of adverse events in neonates recruited in clinical trials. The first version of the Neonatal Adverse Event severity score (NAESS) reduced the inter-observer variability. Causality tools like the Naranjo score were also tailored to neonates. These tools are also instrumental to support proactive pharmacovigilance in clinical care, while multidisciplinary care teams and computerized pharmacovigilance using advanced data analysis, like machine learning are emerging approaches to develop effective decision strategies.Expert opinionAll stakeholders involved in development of medicines or its clinical use should be aware of the limitations of the currently available assessment tools. Extension and optimization of these tools, advanced data analysis approaches, and capturing the variability in time-dependent physiology are warranted to improve pharmacovigilance in neonates.
引用
收藏
页码:803 / 816
页数:14
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