A 7-Year Brazilian National Perspective on Plasmid-Mediated Carbapenem Resistance in Enterobacterales, Pseudomonas aeruginosa, and Acinetobacter baumannii Complex and the Impact of the Coronavirus Disease 2019 Pandemic on Their Occurrence

Author:

Kiffer Carlos R V12,Rezende Thais F T12,Costa-Nobre Daniela Testoni1,Marinonio Ana Sílvia Scavacini1,Shiguenaga Lucas Hidemitsu1,Kulek Debora Nicole Oliveira34,Arend Lavinia Nery Villa Stangler34,Santos Ivson Cassiano de Oliveira56,Sued-Karam Bruna Ribeiro56,Rocha-de-Souza Claudio Marcos56,Kraft Leticia7,Abreu Andre8,Peral Renata Tigulini de Souza7,Carvalho-Assef Ana Paula D’Alincourt56,Pillonetto Marcelo34ORCID

Affiliation:

1. Escola Paulista de Medicina (EPM), Universidade Federal de São Paulo—UNIFESP , São Paulo , Brazil

2. Infectious Diseases Discipline, Laboratório Especial de Microbiologia Clínica—LEMC/ALERTA, EPM, UNIFESP , São Paulo , Brazil

3. Laboratorio Central do Paraná - LACENPR, Secretaria de Estado da Saúde , Curitiba, Parana , Brazil

4. Escola de Medicina e Ciencias da Vida - EMCV, Pontifícia Universidade Católica do Paraná—PUCPR , Curitiba, Parana , Brazil

5. Instituto Oswaldo Cruz (IOC)—Fundação Instituto Oswaldo Cruz (FIOCRUZ) , Rio de Janeiro , Brazil

6. Laboratório de Pesquisa em Infecção Hospitalar—LAPIH, Instituto Oswaldo Cruz , Rio de Janeiro , Brazil

7. Coordenação Geral de Laboratórios de Saúde Publica, Departamento de Articulação Estratégica de Vigilância em Saúde e Ambiente, Secretaria de Vigilância em Saúde e Ambiente, Ministério da Saúde , Brasilia, Distrito Federal , Brazil

8. Núcleo de Epidemiologia e Vigilância em Saúde, Instituto Oswaldo Cruz—FIOCRUZ , Brasilia, Distrito Federal , Brazil

Abstract

Abstract Background Carbapenemase production is a global public health threat. Antimicrobial resistance (AMR) data analysis is critical to public health policy. Here we analyzed carbapenemase detection trends using the AMR Brazilian Surveillance Network. Methods Carbapenemase detection data from Brazilian hospitals included in the public laboratory information system dataset were evaluated. The detection rate (DR) was defined as carbapenemase detected by gene tested per isolate per year. The temporal trends were estimated using the Prais–Winsten regression model. The impact of COVID-19 on carbapenemase genes in Brazil was determined for the period 2015–2022. Detection pre- (October 2017 to March 2020) and post-pandemic onset (April 2020 to September 2022) was compared using the χ2 test. Analyses were performed with Stata 17.0 (StataCorp, College Station, TX). Results 83 282 blaKPC and 86 038 blaNDM were tested for all microorganisms. Enterobacterales DR for blaKPC and blaNDM was 68.6% (41 301/60 205) and 14.4% (8377/58 172), respectively. P. aeruginosa DR for blaNDM was 2.5% (313/12 528). An annual percent increase for blaNDM of 41.1% was observed, and a decrease for blaKPC of −4.0% in Enterobacterales, and an annual increase for blaNDM of 71.6% and for blaKPC of 22.2% in P. aeruginosa. From 2020 to 2022, overall increases of 65.2% for Enterobacterales, 77.7% for ABC, and 61.3% for P. aeruginosa were observed in the total isolates. Conclusions This study shows the strengths of the AMR Brazilian Surveillance Network with robust data related to carbapenemases in Brazil and the impact of COVID-19 with a change in carbapenemase profiles with blaNDM rising over the years.

Funder

Centers for Diseases Control and Prevention

(CDC;

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Microbiology (medical)

Reference45 articles.

1. Carbapenem resistance: overview of the problem and future perspectives;Meletis;Ther Adv Infect Dis,2016

2. Increased detection of carbapenemase-producing Enterobacterales bacteria in Latin America and the Caribbean during the COVID-19 pandemic;Thomas;Emerg Infect Dis,2022

3. The impact of coronavirus disease 2019 (COVID-19) on healthcare-associated infections in 2020: a summary of data reported to the National Healthcare Safety Network;Weiner-Lastinger;Infect Control Hosp Epidemiol,2022

4. Bacterial and fungal coinfection in individuals with coronavirus: a rapid review to support COVID-19 antimicrobial prescribing;Rawson;Clin Infect Dis,2020

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3