{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,13]],"date-time":"2026-06-13T05:37:57Z","timestamp":1781329077758,"version":"3.54.1"},"reference-count":53,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2021,1,14]],"date-time":"2021-01-14T00:00:00Z","timestamp":1610582400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Public Health"],"abstract":"<jats:p>Antimicrobial resistance (AMR) is a major public health threat of global proportions, which has the potential to lead to approximately ten million deaths per year by 2050. Pressured by this wicked problem, in 2014, the World Health Organization launched a call for member states to share AMR data through the implementation of the Global Antimicrobial Resistance Surveillance System (GLASS), to appropriately scale and monitor the general situation world-widely. In 2017, Brazil joined GLASS and, in 2018, started its own national antimicrobial surveillance program (BR-GLASS) to understand the impact of resistance in the country. We compiled data obtained from the complete routine of three hospitals' microbiology labs during the year of 2018. This pilot data sums up to 200,874 antimicrobial susceptibility test results from 11,347 isolates. It represents 119 different microorganisms recovered from 44 distinct types of clinical samples. Specimens came from patients originating from 301 Brazilian cities, with 4,950 of these isolates from presumed Healthcare-Associated Infections (HAIs) and the other 6,397 community-acquired cases. The female population offered 58% of the collected samples, while the other 42% were of male origin. The urinary tract was the most common topography (6,372\/11,347 isolates), followed by blood samples (2,072\/11,347). Gram-negative predominated the bacterial isolates: <jats:italic>Escherichia coli<\/jats:italic> was the most prevalent in general, representing 4,030 isolates (89.0% of these from the urinary tract). Coagulase-negative <jats:italic>Staphylococci<\/jats:italic> were the most prevalent bacteria in blood samples. Besides these two species, the ESKAPE group have consolidated their prevalence. Regarding drug susceptibility results, 141,648 (70.5%) were susceptible, 9,950 (4.9%) intermediate, and 49,276 (24.5%) resistant. <jats:italic>Acinetobacter baumannii<\/jats:italic> was the most worrisome microorganism, with 65.3% of the overall antimicrobial susceptibility tests showing resistance, followed by ESBL-producing <jats:italic>Klebsiella pneumoniae<\/jats:italic>, with a global resistance rate of 59%. Although this is a pilot project (still limited to one state), this database shows the importance of a nation-wide surveillance program,[153mm][-12mm] Q14 especially considering it already had patients coming from 301 distinct counties and 18 different states. The BR-GLASS Program is an ongoing project that intends to encompass at least 95 hospitals distributed in all five geographical regions in Brazil within the next 5 years.<\/jats:p>","DOI":"10.3389\/fpubh.2020.575536","type":"journal-article","created":{"date-parts":[[2021,1,14]],"date-time":"2021-01-14T19:57:54Z","timestamp":1610654274000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":43,"title":["The Experience of Implementing a National Antimicrobial Resistance Surveillance System in Brazil"],"prefix":"10.3389","volume":"8","author":[{"given":"Marcelo","family":"Pillonetto","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Regiane Tigulini de Souza","family":"Jord\u00e3o","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gabriel Savogin","family":"Andraus","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ricardo","family":"Bergamo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fabiano Barreto","family":"Rocha","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mayara Caroline","family":"Onishi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bernardo Montesanti Machado de","family":"Almeida","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Keite da Silva","family":"Nogueira","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amanda","family":"Dal Lin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Viviane Maria de Carvalho Hessel","family":"Dias","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andr\u00e9 Luiz de","family":"Abreu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2021,1,14]]},"reference":[{"key":"B1","unstructured":"2016"},{"key":"B2","unstructured":"Global Action Plan on Antimicrobial Resistance2015"},{"key":"B3","unstructured":"Boletim Seguran\u00e7a do Paciente e Qualidade em Servi\u00e7os de Sa\u00fade n2017"},{"key":"B4","unstructured":"Hospital Beds (per 10 000 population)"},{"key":"B5","doi-asserted-by":"publisher","first-page":"1079","DOI":"10.1086\/533452","article-title":"Federal funding for the study of antimicrobial resistance in nosocomial pathogens: no ESKAPE","volume":"197","author":"Rice","year":"2008","journal-title":"J Infect Dis."},{"key":"B6","unstructured":"2018"},{"key":"B7","unstructured":"2019"},{"key":"B8","unstructured":"Organizaci\u00f3n Panamericana de la Salud. 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