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Antibiotic use in different hospital administrative categories: an overview of 10 years of a statewide surveillance program in Brazil

Published online by Cambridge University Press:  13 January 2025

Filipe Piastrelli*
Affiliation:
Infection Control Department, Hospital Alemão Oswaldo Cruz, São Paulo, Brazil
Denise Brandão de Assis
Affiliation:
Divisao de Infeccoes Hospitalares, Centro de Vigilancia Epidemiologica “Prof. Alexandre Vranjac” Centro de Controle de Doencas, Secretaria de Estado da Saude, São Paulo, SP, BR, Brazil
Geraldine Madalosso
Affiliation:
Divisao de Infeccoes Hospitalares, Centro de Vigilancia Epidemiologica “Prof. Alexandre Vranjac” Centro de Controle de Doencas, Secretaria de Estado da Saude, São Paulo, SP, BR, Brazil
Ícaro Boszczowski
Affiliation:
Infection Control Department, Hospital Alemão Oswaldo Cruz and Infection Control Department Hospital das Clínicas, São Paulo, Brazil
*
Corresponding author: Filipe Piastrelli; Email: fpiastrelli@gmail.com

Abstract

Objective:

The present study aimed to describe ICU antibiotic use based on data reported from 2009 to 2018 to the Nosocomial Surveillance System (NSS) of the State Health Department in the State of Sao Paulo, Brazil.

Design:

Ecological study.

Setting:

Data obtained from hospitals located in the state of São Paulo, Brazil from 2009 to 2018.

Participants:

Intensive care units located at participant hospitals.

Methods:

Data on healthcare-associated infections, antibiotic usage, and bacterial identification were collected and reported monthly by hospitals. Antibiotic consumption was quantified as defined daily doses (DDD) per 1000 patient-days. The relationship between antibiotic use and bacterial resistance, categorized by hospital type and ICU complexity, was analyzed using statistical methods to assess correlations and significance.

Results:

Our findings reveal an escalating trend in antibiotic consumption over the study period, with a notable increase from 588.16 DDD per 1000 patient-days in the initial year to 943.12 DDD/1000 patient-days in the final year (p < 0.01). Cephalosporins emerged as the most frequently utilized class, accounting for 33.9% of total antibiotic consumption. Public hospitals exhibited significantly higher antibiotic use compared to private and philanthropic institutions, with a mean of 889.11 DDD/1000 patient-days in public hospitals compared to 849.07 DDD/1000 patient-days in private hospitals and 785.12 DDD/1000 patient-days in philanthropic hospitals (p < 0.05).

Conclusions:

The study provides critical insights into antibiotic use and resistance in different hospital settings, emphasizing the importance of tailored antimicrobial stewardship strategies.

Information

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America
Figure 0

Table 1. Number of hospitals reporting to the epidemiological surveillance system in the state of São Paulo, 2009–2018

Figure 1

Figure 1. Antimicrobial use by therapeutic class between 2009 and 2018 in DDD/1000 patient-days.

Figure 2

Table 2. Antibiotic use by therapeutic class by administrative type in DDD/1000 patients-day

Figure 3

Table 3. Antibiotic use in public hospitals by subgroup between 2009 and 2018 in DDD/1000 patients-day

Figure 4

Table 4. Antibiotic use according to ICU complexity from 2009 to 2018 in DDD/1000 patient-days

Figure 5

Figure 2. Incidence of resistant bacteria by phenotypic profile of resistance in the period 2009 to 2018. BSI, bloodstream infection; CRAb, carbapenem-resistant Acinetobacter baumannii; CRPa, carbapenem-resistant Pseudomonas aeruginosa; CRKp, carbapenem-resistant Klebsiella pneumoniae; ESBL, extended-spectrum beta-lactamase; MRSA, methicillin-resistant S.aureus; VRE, vancomycin-resistant Enterococcus sp.

Figure 6

Table 5. Proportion of resistant bacteria by phenotypic profile of resistance and administration type in the period 2009 to 2018

Figure 7

Table 6. Spearman’s correlation coefficient for antibiotic use and bacterial resistance incidence between 2009 a 2018