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Trends in Antibiotic Resistance Among Ocular Microorganisms in the United States From 2009 to 2018
IMPORTANCE: Antibiotic resistance in ocular infections can affect treatment outcomes. Surveillance data on evolving antibacterial susceptibility patterns inform the treatment of such infections. OBJECTIVE: To assess overall antibiotic resistance profiles and trends among bacterial isolates from ocul...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Medical Association
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7146550/ https://www.ncbi.nlm.nih.gov/pubmed/32271355 http://dx.doi.org/10.1001/jamaophthalmol.2020.0155 |
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author | Asbell, Penny A. Sanfilippo, Christine M. Sahm, Daniel F. DeCory, Heleen H. |
author_facet | Asbell, Penny A. Sanfilippo, Christine M. Sahm, Daniel F. DeCory, Heleen H. |
author_sort | Asbell, Penny A. |
collection | PubMed |
description | IMPORTANCE: Antibiotic resistance in ocular infections can affect treatment outcomes. Surveillance data on evolving antibacterial susceptibility patterns inform the treatment of such infections. OBJECTIVE: To assess overall antibiotic resistance profiles and trends among bacterial isolates from ocular sources collected during 10 years. DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study of longitudinal data from the ongoing, nationwide, prospective, laboratory-based surveillance study, the Antibiotic Resistance Monitoring in Ocular Microorganisms (ARMOR) study, included clinically relevant isolates of Staphylococcus aureus, coagulase-negative staphylococci (CoNS), Streptococcus pneumoniae, Pseudomonas aeruginosa, and Haemophilus influenzae cultured from patients with ocular infections at US centers from January 1, 2009, to December 31, 2018. MAIN OUTCOMES AND MEASURES: Minimum inhibitory concentrations were determined for various combinations of antibiotics and species. Odds ratios (ORs) were determined for concurrent antibiotic resistance; analysis of variance and χ(2) tests were used to evaluate resistance rates by patient age and geographic region; Cochran-Armitage tests identified changing antibiotic susceptibility trends over time. RESULTS: A total of 6091 isolates (2189 S aureus, 1765 CoNS, 590 S pneumoniae, 767 P aeruginosa, and 780 H influenzae) from 6091 patients were submitted by 88 sites. Overall, 765 S aureus (34.9%) and 871 CoNS (49.3%) isolates were methicillin resistant and more likely to be concurrently resistant to macrolides (azithromycin: S aureus: OR, 18.34 [95% CI, 13.64-24.67]; CoNS: OR, 4.59 [95% CI, 3.72-5.66]), fluoroquinolones (ciprofloxacin: S aureus: OR, 22.61 [95% CI, 17.96-28.47]; CoNS: OR, 9.73 [95% CI, 7.63-12.40]), and aminoglycosides (tobramycin: S aureus: OR, 18.29 [95% CI, 13.21-25.32]; CoNS: OR, 6.28 [95% CI, 4.61-8.56]) compared with methicillin-susceptible isolates (P < .001 for all). Multidrug resistance was observed among methicillin-resistant S aureus (577 [75.4%]) and CoNS (642 [73.7%]) isolates. Antibiotic resistance among S pneumoniae isolates was highest for azithromycin (214 [36.3%]), whereas P aeruginosa and H influenzae isolates showed low resistance overall. Differences in antibiotic resistance were found among isolates by patient age (S aureus: F = 28.07, P < .001; CoNS: F = 11.46, P < .001) and geographic region (S aureus: F = 8.03, P < .001; CoNS: F = 4.79, P = .003; S pneumoniae: F = 8.14, P < .001; P aeruginosa: F = 4.32, P = .005). Small changes in antibiotic resistance were noted over time (≤2.5% per year), with decreases in resistance to oxacillin/methicillin (oxacillin: −2.16%; 95% CI, −3.91% to −0.41%; P < .001) and other antibiotics among S aureus isolates, a decrease in ciprofloxacin resistance among CoNS (−1.38%; 95% CI, −2.24% to −0.52%; P < .001), and an increase in tobramycin resistance among CoNS (0.71%; 95% CI, –0.29% to 1.71%; P = .03). Besifloxacin retained consistently low minimum inhibitory concentrations. CONCLUSIONS AND RELEVANCE: Antibiotic resistance may be prevalent among staphylococcal isolates, particularly among older patients. In this study, a few small differences in antibiotic resistance were observed by geographic region or longitudinally. |
format | Online Article Text |
id | pubmed-7146550 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Medical Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-71465502020-04-13 Trends in Antibiotic Resistance Among Ocular Microorganisms in the United States From 2009 to 2018 Asbell, Penny A. Sanfilippo, Christine M. Sahm, Daniel F. DeCory, Heleen H. JAMA Ophthalmol Original Investigation IMPORTANCE: Antibiotic resistance in ocular infections can affect treatment outcomes. Surveillance data on evolving antibacterial susceptibility patterns inform the treatment of such infections. OBJECTIVE: To assess overall antibiotic resistance profiles and trends among bacterial isolates from ocular sources collected during 10 years. DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study of longitudinal data from the ongoing, nationwide, prospective, laboratory-based surveillance study, the Antibiotic Resistance Monitoring in Ocular Microorganisms (ARMOR) study, included clinically relevant isolates of Staphylococcus aureus, coagulase-negative staphylococci (CoNS), Streptococcus pneumoniae, Pseudomonas aeruginosa, and Haemophilus influenzae cultured from patients with ocular infections at US centers from January 1, 2009, to December 31, 2018. MAIN OUTCOMES AND MEASURES: Minimum inhibitory concentrations were determined for various combinations of antibiotics and species. Odds ratios (ORs) were determined for concurrent antibiotic resistance; analysis of variance and χ(2) tests were used to evaluate resistance rates by patient age and geographic region; Cochran-Armitage tests identified changing antibiotic susceptibility trends over time. RESULTS: A total of 6091 isolates (2189 S aureus, 1765 CoNS, 590 S pneumoniae, 767 P aeruginosa, and 780 H influenzae) from 6091 patients were submitted by 88 sites. Overall, 765 S aureus (34.9%) and 871 CoNS (49.3%) isolates were methicillin resistant and more likely to be concurrently resistant to macrolides (azithromycin: S aureus: OR, 18.34 [95% CI, 13.64-24.67]; CoNS: OR, 4.59 [95% CI, 3.72-5.66]), fluoroquinolones (ciprofloxacin: S aureus: OR, 22.61 [95% CI, 17.96-28.47]; CoNS: OR, 9.73 [95% CI, 7.63-12.40]), and aminoglycosides (tobramycin: S aureus: OR, 18.29 [95% CI, 13.21-25.32]; CoNS: OR, 6.28 [95% CI, 4.61-8.56]) compared with methicillin-susceptible isolates (P < .001 for all). Multidrug resistance was observed among methicillin-resistant S aureus (577 [75.4%]) and CoNS (642 [73.7%]) isolates. Antibiotic resistance among S pneumoniae isolates was highest for azithromycin (214 [36.3%]), whereas P aeruginosa and H influenzae isolates showed low resistance overall. Differences in antibiotic resistance were found among isolates by patient age (S aureus: F = 28.07, P < .001; CoNS: F = 11.46, P < .001) and geographic region (S aureus: F = 8.03, P < .001; CoNS: F = 4.79, P = .003; S pneumoniae: F = 8.14, P < .001; P aeruginosa: F = 4.32, P = .005). Small changes in antibiotic resistance were noted over time (≤2.5% per year), with decreases in resistance to oxacillin/methicillin (oxacillin: −2.16%; 95% CI, −3.91% to −0.41%; P < .001) and other antibiotics among S aureus isolates, a decrease in ciprofloxacin resistance among CoNS (−1.38%; 95% CI, −2.24% to −0.52%; P < .001), and an increase in tobramycin resistance among CoNS (0.71%; 95% CI, –0.29% to 1.71%; P = .03). Besifloxacin retained consistently low minimum inhibitory concentrations. CONCLUSIONS AND RELEVANCE: Antibiotic resistance may be prevalent among staphylococcal isolates, particularly among older patients. In this study, a few small differences in antibiotic resistance were observed by geographic region or longitudinally. American Medical Association 2020-05 2020-04-09 /pmc/articles/PMC7146550/ /pubmed/32271355 http://dx.doi.org/10.1001/jamaophthalmol.2020.0155 Text en Copyright 2020 Asbell PA et al. JAMA Ophthalmology. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the CC-BY-NC-ND License. |
spellingShingle | Original Investigation Asbell, Penny A. Sanfilippo, Christine M. Sahm, Daniel F. DeCory, Heleen H. Trends in Antibiotic Resistance Among Ocular Microorganisms in the United States From 2009 to 2018 |
title | Trends in Antibiotic Resistance Among Ocular Microorganisms in the United States From 2009 to 2018 |
title_full | Trends in Antibiotic Resistance Among Ocular Microorganisms in the United States From 2009 to 2018 |
title_fullStr | Trends in Antibiotic Resistance Among Ocular Microorganisms in the United States From 2009 to 2018 |
title_full_unstemmed | Trends in Antibiotic Resistance Among Ocular Microorganisms in the United States From 2009 to 2018 |
title_short | Trends in Antibiotic Resistance Among Ocular Microorganisms in the United States From 2009 to 2018 |
title_sort | trends in antibiotic resistance among ocular microorganisms in the united states from 2009 to 2018 |
topic | Original Investigation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7146550/ https://www.ncbi.nlm.nih.gov/pubmed/32271355 http://dx.doi.org/10.1001/jamaophthalmol.2020.0155 |
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