Objectives: To describe and analyse erythromycin resistance trends in blood isolates of (EARS-Net Spain, 2004-2020) and the association of these trends with the consumption of macrolide, lincosamide, and streptogramin B (MLS) antibiotics. To assess molecular changes that could be involved in erythromycin resistance trends by whole genome analysis of representative isolates.
Materials And Methods: We collected antibiotic susceptibility data for all first-blood isolates in patients from 47 Spanish hospitals according to EARS-Net criteria. MLS antibiotic consumption was obtained from the Spanish Agency for Medicines and Medical Devices (2008-2020). We sequenced 137 representative isolates for core genome multilocus sequence typing, resistome and virulome analysis.
Results: For the 36,612 invasive isolates, methicillin resistance decreased from 26.4% in 2004 to 22.4% in 2020. Erythromycin resistance in methicillin-susceptible (MSSA) increased from 13.6% in 2004 to 28.9% in 2020 ( < 0.001); however, it decreased from 68.7 to 61.8% ( < 0.0001) in methicillin-resistant (MRSA). Total consumption of MLS antibiotics increased from 2.72 defined daily doses per 1,000 inhabitants per day (DID) in 2014 to 3.24 DID in 2016. By WGS, the macrolide resistance genes detected were (59.8%), (46%), and (45.2%). The genes were more prevalent in MSSA (44/57, 77.2%) than in MRSA (38/80, 47.5%). Most of the genes identified in MSSA after 2013 differed from the predominant gene (17/22, 77.3%), largely because was significantly associated with MSSA after 2013 (11/29, 37.9%). All 13 isolates in this study, except one, belonged to ST398 and came from 10 hospitals and six Spanish provinces.
Conclusion: The significant increase in erythromycin resistance in blood MSSA correlated with the consumption of the MLS antibiotics in Spain. These preliminary data seem support the hypothesis that the human ST398 MSSA clade with -mediated resistance to erythromycin may be involved in this trend.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10562549 | PMC |
http://dx.doi.org/10.3389/fmicb.2023.1220286 | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!