@article {1391, title = {Assessment of spillover of antimicrobial resistance to untreated children 7 to 12 years old after mass drug administration of azithromycin for child survival in Niger: a secondary analysis of the MORDOR cluster-randomized trial.}, journal = {Clin Infect Dis}, year = {2024}, month = {2024 May 13}, abstract = {

BACKGROUND: The risk of antibiotic resistance is complicated by the potential for spillover effects from one treated population to another. Azithromycin mass drug administration programs report higher rates of antibiotic resistance among treatment arms in targeted groups. This study aims to understand the risk of spillover of antibiotic resistance to non-target groups in these programs.

METHODS: Data was used from a cluster-randomized trial comparing the effect of biannual azithromycin and placebo distribution to children 1-59 months on child mortality. Nasopharyngeal samples from untreated children 7-12 years old were tested for genetic determinants of macrolide resistance (primary outcome) and resistance to other antibiotic classes (secondary outcomes). Linear regression was used to compare the community-level mean difference in prevalence by arm at the 24-month timepoint adjusting for baseline prevalence.

RESULTS: 1,103 children 7-12 years old in 30 communities were included in the analysis (15 azithromycin, 15 placebo). Adjusted mean differences in prevalence of resistance determinants for macrolides, beta-lactams and tetracyclines were 3.4\% (95\% CI -4.1\% to 10.8\%, P-value 0.37), -1.2\% (95\% CI -7.9\% to 5.5\%, P-value 0.72), and -3.3\% (95\% CI -9.5\% to 2.8\%, P-value 0.61), respectively.

CONCLUSIONS: We were unable to demonstrate a statistically significant increase in macrolide resistance determinants in untreated groups in an azithromycin mass drug administration program. While the result might be consistent with a small spillover effect, this study was not powered to detect such a small difference. Larger studies are warranted to better understand the potential for spillover effects within these programs.

}, issn = {1537-6591}, doi = {10.1093/cid/ciae267}, author = {Peterson, Brittany and Arzika, Ahmed M and Amza, Abdou and Maliki, Ramatou and Mankara Karamba, Alio and Moussa, Mariama and Kemago, Mariama and Liu, Zijun and Houpt, Eric and Liu, Jie and Pholwat, Suporn and Doan, Thuy and Porco, Travis and Keenan, Jeremy D and Lietman, Thomas M and O{\textquoteright}Brien, Kieran S} }