ISSN Print 2500–1094
ISSN Online 2542–1204
BIOMEDICAL JOURNAL OF PIROGOV UNIVERSITY (MOSCOW, RUSSIA)
Copyright: © 2024 by the authors. Licensee: Pirogov University.
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (CC BY).
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (CC BY).
ORIGINAL RESEARCH
Potentially inappropriate prescribing among critically ill children: POPI-criteria in Russia
About authors
1 Russian Medical Academy of Continuous Professional Education of the Ministry of Healthcare of the Russian Federation, Moscow, Russia
2 Morozov Children's City Clinical Hospital, Moscow, Russia
3 Research Institute of Healthcare Organization and Medical Management, Moscow, Russia
4 Pirogov Russian National Research Medical University, Moscow, Russia
Correspondence should be addressed: Anna V. Vlasova
4th Dobryninsky pereulok, 1/9, Moscow,119049, Russia; ur.liam@57avosalvanna
About paper
Author contribution: Vlasova AV — study concept and design, data acquisition and processing, manuscript writing and editing; Smirnova EV — statistical data processing, manuscript editing; Kulichenko TV — manuscript editing.
Compliance with ethical standards: the study was approved by the Ethics Committee of the Morozov Children's City Clinical Hospital (the research protocol dated 24.10.2019 was published on ClinicalTrials.gov, ID: NCT04141657, Unique Protocol ID: 07819001, Brief Title: Safety Analysis of Antimicrobial Pharmacotherapy in Intensive Care Unit at Pediatric Hospital Official, Title: Observational Prospective Multidirectional Study on the Safety of Antimicrobial Pharmacotherapy in Intensive Care Unit (ICU) Children Aged 0-17).
Received: 2024-02-21
Accepted: 2024-04-27
Published online: 2024-04-30
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Table 1. Personalized assessment of non-antibiotic therapy based on POPI criteria for 100 patients of the anesthesiology and resuscitation department [5]
Table 2. Characteristics of patients based on the underlying disease
