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All other risk factors did not show statistical significance for MRSA nasal carriage (Table 7).
To simultaneously adjust for variables independently associated with Candida colonization in the crude analyses, we fit a logistic regression model predicting Candida carriage (Table 2).
> -wrap-foot> > -wrap-foot> Subsequent analysis was undertaken incorporating all HLA-typed individuals to determine the absolute risk of SJS/TEN and predictive values of HLA-C*04:01, the HLA-B*53 01 01/C*04:01 HLA-B*53 01 01/C*04*05:0101 carriage (Table 6).
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For P. falciparum gametocyte carriages (table 2), the analysis identified two time clusters, located close together in space (about 200 m apart on the ground).
The 51 isolates from cases of pediatric infection defined 20 STs, 8 of which were absent from the carriage sample (Table S2).
Interestingly, at the ST level, over half of the clinical isolates analyzed in this study (∼54%) belonged to STs (such as ST105 and ST239) that do not contain nasal carriage strains (Table S1).
Interestingly, we again observed a strong association between host mtSNP and gut carriage patterns (Table 2).
Among 30 virulence genes, only the LukE-LukD leukotoxin (lukE-lukD) and gamma variant hemolysin (hlg-2) genes were significantly more prevalent in infection isolates than in nasal carriage isolates (Table 2).
Statistically significant risk factors for persistent MRSA carriage were identified (table 2).
The site with the highest yield was the nasopharynx (32.2%), whereas tonsillar carriage was 19.4% (Table).
Except for antimicrobial use, tasks related to animal contact and touching pigs from other farms were identified as risk factors for MRSA carriage in humans (Table 4).
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