Enhanced surveillance of a pneumonia outbreak of unknown cause in Argentina in 2022 using the AI system, EPIWATCH

Background: Urinary tract infections (UTIs) are common healthcare-associated infections (HCAIs) and the leading cause of morbidity among surgical patients.Strains that produce extendedspectrum beta-lactamases or carbapenemases are both particularly problematic and disproportionately impact resource-limited healthcare settings where last-line antimicrobials may not be available.This study aimed to determine the resistance rates to thirdgeneration cephalosporins and carbapenems among uropathogenic gram-negative bacteria from surgical patients colonised and with UTI in Malawi.Methods: A hospital-based, prospective cross-sectional study was conducted in the surgical department of Queen Elisabeth Central Hospital in Blantyre, Malawi, from August to October 2020.Consecutive surgical patients were recruited, and urine samples screened by dipstick irrespective of UTI symptoms and cultured.Significant bacteriuria was defined as a pure culture with 10 5 CFU/mL.Antimicrobial susceptibility testing was determined using the disc diffusion method and interpreted using the EUCAST guidelines.Data were analysed using SPSS 28 software.Results: A total of 1125 patients were screened for UTI, and 337 patients had urine samples processed for culture following a positive dipstick.Significant growth was observed in 53.1% (179/337).The prevalence of symptomatic UTI was 2.3% (26/1125) and were all catheter-associated UTI (28.9%, 26/90).Gram-negative bacteria were the most prevalent isolates (155/179) with the predominance of E. coli (53.5%, 83/155), Citrobacter spp.(11%, 17/155), Enterobacter spp.(6.5%, 10/155), Acinetobacter spp.(5.8%, 9/155), and Pseudomonas spp.(3.9%, 6/155).Overall, 74.3% (104/140) Enterobaterales were third-generation cephalosporin resistant and 1.4% (2/140) were meropenem.22.2% (2/9) of Acinetobacter spp.were meropenem resistant while none of the Pseudomonas spp. was resistant to meropenem.However, 66.7% (4/6) of Pseudomonas spp.were third-generation cephalosporin resistant.Discussion: Multidrug-resistant patterns due to thirdgeneration cephalosporin and carbapenem-resistant gram-negative bacteria are now becoming prevalent in hospitals worldwide, posing a public health challenge.These bacteria require global monitoring to maintain awareness of prevalent and emerging resistance mechanisms and to inform treatment and infection prevention strategies.Conclusion: Third-generation cephalosporin and carbapenemresistant bacteria are rapidly proliferating in Malawi.This highlights the need for improved infection prevention and control practices and enhanced surveillance to limit the dissemination of these bacteria.

Authors

Publication Details

Journal
International Journal of Infectious Diseases
Published
2025-02-28
DOI
https://doi.org/10.1016/j.ijid.2024.107571
Citations
1
Primary Topic
COVID-19 diagnosis using AI
Type
article
Field-Weighted Citation Impact
1.36
Controls
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article

Enhanced surveillance of a pneumonia outbreak of unknown cause in Argentina in 2022 using the AI system, EPIWATCH

Mr Damian Honeyman, Antonio Lim, Peter D. MacIntyre, Dianne Quigley
1 citations
International Journal of Infectious Diseases
COVID-19 diagnosis using AI
1.36
article

Enhanced surveillance of a pneumonia outbreak of unknown cause in Argentina in 2022 using the AI system, EPIWATCH

Mr Damian Honeyman, Antonio Lim, Peter D. MacIntyre, Dianne Quigley
article en
1 citations

Abstract

Background: Urinary tract infections (UTIs) are common healthcare-associated infections (HCAIs) and the leading cause of morbidity among surgical patients.Strains that produce extendedspectrum beta-lactamases or carbapenemases are both particularly problematic and disproportionately impact resource-limited healthcare settings where last-line antimicrobials may not be available.This study aimed to determine the resistance rates to thirdgeneration cephalosporins and carbapenems among uropathogenic gram-negative bacteria from surgical patients colonised and with UTI in Malawi.Methods: A hospital-based, prospective cross-sectional study was conducted in the surgical department of Queen Elisabeth Central Hospital in Blantyre, Malawi, from August to October 2020.Consecutive surgical patients were recruited, and urine samples screened by dipstick irrespective of UTI symptoms and cultured.Significant bacteriuria was defined as a pure culture with 10 5 CFU/mL.Antimicrobial susceptibility testing was determined using the disc diffusion method and interpreted using the EUCAST guidelines.Data were analysed using SPSS 28 software.Results: A total of 1125 patients were screened for UTI, and 337 patients had urine samples processed for culture following a positive dipstick.Significant growth was observed in 53.1% (179/337).The prevalence of symptomatic UTI was 2.3% (26/1125) and were all catheter-associated UTI (28.9%, 26/90).Gram-negative bacteria were the most prevalent isolates (155/179) with the predominance of E. coli (53.5%, 83/155), Citrobacter spp.(11%, 17/155), Enterobacter spp.(6.5%, 10/155), Acinetobacter spp.(5.8%, 9/155), and Pseudomonas spp.(3.9%, 6/155).Overall, 74.3% (104/140) Enterobaterales were third-generation cephalosporin resistant and 1.4% (2/140) were meropenem.22.2% (2/9) of Acinetobacter spp.were meropenem resistant while none of the Pseudomonas spp. was resistant to meropenem.However, 66.7% (4/6) of Pseudomonas spp.were third-generation cephalosporin resistant.Discussion: Multidrug-resistant patterns due to thirdgeneration cephalosporin and carbapenem-resistant gram-negative bacteria are now becoming prevalent in hospitals worldwide, posing a public health challenge.These bacteria require global monitoring to maintain awareness of prevalent and emerging resistance mechanisms and to inform treatment and infection prevention strategies.Conclusion: Third-generation cephalosporin and carbapenemresistant bacteria are rapidly proliferating in Malawi.This highlights the need for improved infection prevention and control practices and enhanced surveillance to limit the dissemination of these bacteria.

International Journal of Infectious DiseasesVol. 152
Good health and well-being
Openalex Percentile: Top 23%
COVID-19 diagnosis using AI
1.36
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Enhanced surveillance of a pneumonia outbreak of unknown cause in Argentina in 2022 using the AI system, EPIWATCH — Mr Damian Honeyman, Antonio Lim, et al. · International Journal of Infectious Diseases (2025) | TGRS Research Map | TGRS