A Retrospective Analysis of Culture-Confirmed Enterococci Bloodstream Infections in South Africa, 2016-2020: A Cross-Sectional Study.
Ruth MogokotlengHusna IsmailOlga PerovicSabelle JallowPublished in: Tropical medicine and infectious disease (2022)
(1) Background : The emergence of multidrug resistance enterococci is a major public health concern. This study aimed to determine the prevalence and antimicrobial resistance of enterococci isolated from blood cultures over a five-year period (2016-2020) at public hospitals in South Africa. (2): Methods : A retrospective analysis of clinical enterococci isolated from bloodstream infection samples at the South African public hospitals was conducted. The ESKAPE dataset from January 2016 to December 2020 was obtained from the central data warehouse (CDW) at the National Health Laboratory Service (NHLS). (3): Results : Following de-duplication, a total of 130,352/306,592 organisms isolated from blood cultures were identified as ESKAPE pathogens. In this study, K. pneumoniae (25%; 33,082/130,352), was the most frequently isolated pathogen from blood cultures, followed by S. aureus (23%; 29,922/130,352) and enterococci (16%; 21,339/130,352). Of the enterococci cases, about 43% (9132/21,339) of cases were from the infants aged (<1-year old) and 32% (6745/21,339) from the adult patients. No changes observed in vancomycin, teicoplanin, and linezolid susceptibility; however, E. faecium and E. faecalis blood culture isolates remained highly susceptible (>97%) to these antibiotics. (4): Conclusions : The current study revealed a significant increase of E. faecalis and E. faecium blood culture isolates as compared to the previous national ESKAPE data. Low vancomycin resistance was observed. Continuous monitoring of antimicrobial resistant Enterococcus species is warranted in South Africa.
Keyphrases
- methicillin resistant staphylococcus aureus
- south africa
- healthcare
- public health
- antimicrobial resistance
- staphylococcus aureus
- mental health
- hiv positive
- risk factors
- electronic health record
- machine learning
- deep learning
- quality improvement
- pseudomonas aeruginosa
- biofilm formation
- multidrug resistant
- single cell
- adverse drug
- hiv infected