Evidence map›Paper›PMID 41588382›Full record

ArticleBMC public health2026

Trajectories of antibiotic prescriptions in Italian children in the first four years of life: a retrospective birth-cohort study.

Isabella Rosato, Gloria Porcu, Daniele Donà, Erich Batzella, Carlo Giaquinto, Anna Cantarutti, Cristina Canova

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Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Isabella RosatoUnit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua, Padua, Italy.
Gloria PorcuUnit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua, Padua, Italy.
Daniele DonàDepartment of Women's and Children's Health, University of Padua, Padua, Italy.
Erich BatzellaUnit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua, Padua, Italy.
Carlo GiaquintoDivision of Pediatric Infectious Diseases, Department for Women's and Children's Health, University of Padua, Padua, Italy.
Anna CantaruttiDivision of Biostatistics, Epidemiology and Public Health, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, Italy. anna.cantarutti@unimib.it.
Cristina CanovaUnit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua, Padua, Italy.

Funding

Ministero dell'Istruzione, dell'Università e della Ricerca H53D23006110001
6 · The paper itself

Abstract

backgroundAntibiotics are among the most frequently prescribed medications for pediatric patients. Inappropriate use, particularly in the first years of life, can contribute to the development of antibiotic resistances and impact the maturation of the gut microbiome. Describing prescription patterns using nationally collected data is essential for identifying or monitoring existing strategies for reducing excessive use. This study aims to identify antibiotic prescription trajectories during the first four years of life and to investigate their association with sociodemographic factors.

methodsIn this retrospective cohort study, we used data collected through the Pedianet registry, a monitoring system involving approximately 200 family pediatricians (FPs) in Italy. We considered children born between 2004 and 2018 with complete follow-up during their first four years of life, excluding those with a birth weight of < 2500 g, gestational age < 37 weeks or genetic disorders. Prescription trajectories over the 16 trimesters of observation were estimated using Group-Based Trajectory Modelling (GBTM), by classifying the included children into homogeneous groups based on their probabilities of membership. The association between trajectories and sociodemographic factors was examined with multinomial logistic regression with random intercepts for FPs.

resultsA total of 143,098 children born between 01/01/2004 and 31/12/2018 were included. Between 0 and 4 years of age, these children received a total of 684,010 antibiotic prescriptions. GBTM identified four different trajectories, defined as: [1] "very low use" of antibiotics (34.9% of children) [2], "low-to-moderate use" (22.8%) [3], "moderate-to-low use" (28.0%) and [4] "high use" (14.3%). Compared to the "very low use" trajectory, male subjects residing in the center and south of Italy and born between 2004 and 2008 had a higher probability of belonging to trajectory groups with "moderate-to-low use" and "high use".

conclusionsFrom 2004 to 2022 in Italy, we observed heterogeneous antibiotic prescription patterns among children aged 0-4 years. Future strategies aimed at reducing the number of prescriptions in this age group should target the subgroups at higher risk.

Indexed as

Anti-Bacterial AgentsDrug PrescriptionsPractice Patterns, Physicians'Birth CohortChild, PreschoolFemaleHumansInfantInfant, NewbornItalyMaleRetrospective StudiesAnti-Bacterial AgentsAntibiotic prescriptionsFamily pediatricianGroup-based trajectory modellingPedianet

Identifiers

PMID41588382
PMCPMC12838180

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