Infection and Drug Resistance (Oct 2022)

Changes in Antimicrobial Resistance and Etiology of Blood Culture Isolates: Results of a Decade (2010–2019) of Surveillance in a Northern Region of Colombia

  • Robledo J,
  • Maldonado N,
  • Robledo C,
  • Ceballos Naranjo L,
  • Hernández Galeano V,
  • Pino JJ

Journal volume & issue
Vol. Volume 15
pp. 6067 – 6079

Abstract

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Jaime Robledo,1– 4 Natalia Maldonado,4,5 Carlos Robledo,1,4 Laura Ceballos Naranjo,2 Valentín Hernández Galeano,2 Juan Jose Pino2 On behalf of Germen Antimicrobial Surveillance network1Laboratorio Médico de Referencia, Medellín, Colombia; 2Escuela de Ciencias de la Salud, Universidad Pontificia Bolivariana, Medellín, Colombia; 3Unidad de Bacteriología y Micobacterias, Corporación para Investigaciones Biológicas (CIB), Medellín, Colombia; 4Grupo GERMEN, Medellín, Colombia; 5UGC Enfermedades Infecciosas y Microbiología, Hospital Universitario Virgen Macarena, Sevilla, SpainCorrespondence: Jaime Robledo, Unidad de Bacteriología y Micobacterias, Corporación para Investigaciones Biológicas, Carrera 72A No. 78B-141, Medellín, Colombia, Tel +57-4-6051808, Email [email protected]: Bloodstream infections (BSI) are important causes of morbidity and mortality worldwide. Antimicrobial surveillance is essential for identifying emerging resistance and generating empirical treatment guides, the purpose of this study is to analyze trends in antimicrobial susceptibility of BSI from 2010 to 2019 in healthcare institutions from Medellin and nearby towns in Colombia.Methods: A Whonet database was analyzed from the GERMEN antimicrobial surveillance network; frequency and antibiotic susceptibility trends were calculated on more frequent microorganisms using Mann Kendall and Sen’s Slope Estimator Test.Results: 61,299 isolates were included; the three microorganisms more frequent showed a significant increasing trend through time E. coli (Sen’s Slope estimator = 0.7 p = < 0.01) S. aureus (Sen’s Slope estimator = 0.60 p = < 0.01) and K. pneumonia (Sen’s Slope estimator = 0.30 p = < 0.01). E. coli showed a significant increase trend in cefepime and ceftazidime resistance, while K. pneumoniae showed a significant increase in resistance to cefepime, ciprofloxacin, and gentamicin. P. aeruginosa increases its susceptibility to all analyzed antibiotics and S. aureus to oxacillin. No increasing trend was observed for carbapenem resistance.Conclusion: An upward trends was observed in more frequent microorganisms and resistance to third and fourth-generation cephalosporins for E. coli and K pneumoniae; in contrast, not increasing trends in antibiotic resistance was observed for P. aeruginosa and S. aureus. The essential role of AMR-surveillance programs is to point out and identify these trends, which should improve antibiotic resistance control.Keywords: bacteremia, drug resistance bacterial, antibacterial agents, antimicrobial surveillance

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