Space-time trends of community-onset Staphylococcus aureus infections in children: a group-based trajectory modeling approach

Staphylococcus aureus (S. aureus) remains a serious cause of infections in the United States and worldwide. In the United States, methicillin-resistant S. aureus (MRSA) is the leading cause of skin and soft tissue infections. This study identifies ‘best’ to ‘worst’ infection trends from 2002 to 2016...

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Published inAnnals of epidemiology Vol. 82; pp. 45 - 53.e1
Main Authors Immergluck, Lilly Cheng, Geng, Ruijin, Li, Chaohua, Edelson, Mike, Lin, Xiting, Waller, Lance A., Rust, George, Xu, Junjun, Leong, Traci, Baltrus, Peter
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 01.06.2023
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Summary:Staphylococcus aureus (S. aureus) remains a serious cause of infections in the United States and worldwide. In the United States, methicillin-resistant S. aureus (MRSA) is the leading cause of skin and soft tissue infections. This study identifies ‘best’ to ‘worst’ infection trends from 2002 to 2016, using group-based trajectory modeling approach. Electronic health records of children living in the southeastern United States with S. aureus infections from 2002 to 2016 were retrospectively studied, by applying a group-based trajectory model to estimate infection trends (low, high, very high), and then assess spatial significance of these trends at the census tract level; we focused on community-onset infections and not those considered healthcare acquired. Three methicillin-susceptible S. aureus (MSSA) infection trends (low, high, very high) and three MRSA trends (low, high, very high) were identified from 2002 to 2016. Among census tracts with community-onset S. aureus cases, 29% of tracts belonged to the best trend (low infection) for both methicillin-resistant S. aureus and methicillin-susceptible S. aureus; higher proportions occurring in the less densely populated areas. Race disparities were seen with the worst methicillin-resistant S. aureus infection trends and were more often in urban areas. Group-based trajectory modeling identified unique trends of S. aureus infection rates over time and space, giving insight into the associated population characteristics which reflect these trends of community-onset infection. [Display omitted] •Group-based trajectory models determined spatiotemporal S. aureus infections.•Community-onset S. aureus infection trends varied from low, high, and very high.•Disparities in S. aureus infection trends differed in rural compared to urban areas.•Antibiotic-resistant S. aureus trends occurred in census tracts with higher blacks.•Group-based trajectory models showed the epidemic ‘trajectory’ curve for S. aureus.
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ISSN:1047-2797
1873-2585
DOI:10.1016/j.annepidem.2023.03.001