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. 2013 Oct 8;13(1):12.
doi: 10.1186/1472-6815-13-12.

Dominance of Haemophilus influenzae in ear discharge from Indigenous Australian children with acute otitis media with tympanic membrane perforation

Affiliations

Dominance of Haemophilus influenzae in ear discharge from Indigenous Australian children with acute otitis media with tympanic membrane perforation

Heidi C Smith-Vaughan et al. BMC Ear Nose Throat Disord. .

Abstract

Background: Indigenous Australian children living in remote communities experience high rates of acute otitis media with tympanic membrane perforation (AOMwiP). Otitis media in this population is associated with dense nasopharyngeal colonization of three primary otopathogens; Haemophilus influenzae, Streptococcus pneumoniae and Moraxella catarrhalis. Little is known about the relative abundance of these pathogens during infection. The objective of this study was to estimate the abundance and concordance of otopathogens in ear discharge and paired nasopharyngeal swabs from children with AOMwiP (discharge of not more than 6 weeks' duration and perforation size <2%).

Methods: Culture and quantitative PCR (qPCR) estimation of H. influenzae, S. pneumoniae, M. catarrhalis and total bacterial load were performed on paired nasopharyngeal and ear discharge swabs from 55 Indigenous children with AOMwiP aged 3.5 - 45.6 months and resident in remote communities.

Results: By culture, H. influenzae, S. pneumoniae, and M. catarrhalis were detected in 80%, 84% and 91% of nasopharyngeal swabs, and 49%, 33% and 4% of ear discharge swabs, respectively. Using qPCR, H. influenzae, S. pneumoniae, and M. catarrhalis were detected in 82%, 82%, and 93% of nasopharyngeal swabs, and 89%, 41% and 18% of ear discharge swabs, respectively. Relative abundance of H. influenzae in ear discharge swabs was 0-68% of the total bacterial load (median 2.8%); whereas S. pneumoniae and M. catarrhalis relative abundances were consistently <2% of the total bacterial load. S. pneumoniae and M. catarrhalis abundances were significantly lower in ear discharge compared with nasopharyngeal swabs (p = 0.001, p < 0.001); no significant difference was observed in H. influenzae mean abundance at the two sites.

Conclusions: H. influenzae was the dominant otopathogen detected in ear discharge swabs collected from children with AOMwiP. High prevalence and abundance of S. pneumoniae and M. catarrhalis in the nasopharynx did not predict ear discharge prevalence and abundances of these pathogens. PCR was substantially more sensitive than culture for ear discharge, and a necessary adjunct to standard microbiology. Quantitative methods are required to understand species abundance in polymicrobial infections and may be needed to measure accurately the microbiological impact of interventions and to provide a better understanding of clinical failure in these children.

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Figures

Figure 1
Figure 1
Culture and qPCR of nasopharyngeal and ear discharge swabs from 55 Indigenous Australian children with AOMwiP. Percentage of (a) nasopharyngeal swabs and (b) ear discharge swabs positive by culture and qPCR for H. influenzae, S. pneumoniae and M. catarrhalis.
Figure 2
Figure 2
Bacterial abundance determined by qPCR in nasopharyngeal and ear discharge swabs. Geometric mean abundance of H. influenzae, S. pneumoniae, M. catarrhalis and total bacterial load (TBL) in nasopharyngeal (NP) and ear discharge (ED) swabs.
Figure 3
Figure 3
Bacterial abundance determined by qPCR in paired swabs where ear discharge was positive. Comparison of qPCR estimates where ear discharge (ED) swabs were positive for the pathogen of interest, and paired nasopharyngeal (NP) swabs. TBL, total bacterial load.
Figure 4
Figure 4
Relative abundance of H. influenzae, S. pneumoniae and M. catarrhalis in nasopharyngeal and ear discharge swabs. Median relative abundance and interquartile ranges for H. influenzae, S. pneumoniae, M. catarrhalis and a combination of the three bacteria as a proportion of total bacterial load in nasopharyngeal (a) and ear discharge (b) swabs.
Figure 5
Figure 5
NMDS visualization of bacterial abundance determined by qPCR in ear discharge swabs. Non-Metric Multidimensional Scaling (NMDS) for visualization of the similarity of samples based on bacterial abundance in individual ear discharge swabs. Data points are coloured according to a dichotomous abundance measure of >105 cells/ml or <105 cells/ml for a) H. influenzae; b) S. pneumoniae and c) M. catarrhalis. a) Data points coloured according to H. influenzae abundance; green (<105 cells/ml) or red (>105 cells/ml). b) Data points coloured according to S. pneumoniae abundance; green (<105 cells/ml) or pink (>105 cells/ml). c) Data points coloured according to M. catarrhalis abundance; green (<105 cells/ml) or blue (>105 cells/ml).

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