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Upper airway viruses and bacteria in urban Aboriginal and Torres Strait Islander children in Brisbane, Australia: a cross-sectional study

  • Kerry-Ann F. O’Grady1Email author,
  • Kerry K. Hall1,
  • Theo P. Sloots2,
  • Jennie Anderson3 and
  • Anne B. Chang1, 4, 5
BMC Infectious DiseasesBMC series – open, inclusive and trusted201717:245

https://doi.org/10.1186/s12879-017-2349-1

Received: 3 February 2017

Accepted: 28 March 2017

Published: 4 April 2017

Abstract

Background

Respiratory morbidity in Australian Indigenous children is higher than their non-Indigenous counterparts, irrespective of urban or remote residence. There are limited studies addressing acute respiratory illness (ARI) in urban Indigenous children, particularly those that address the upper airway microbiome and its relationship to disease. We aimed to describe the prevalence of upper airway viruses and bacteria in symptomatic and asymptomatic urban-based Australian Indigenous children aged less than 5 years.

Methods

A cross-sectional analysis of data collected at baseline in an ongoing prospective cohort study of urban Aboriginal and Torres Strait Islander children registered with a primary health care service in the northern suburbs of Brisbane, Australia. Clinical, demographic and epidemiological data and bilateral anterior nasal swabs were collected on enrolment. Polymerase chain reaction was performed on nasal swabs to detect 17 respiratory viruses and 7 bacteria. The primary outcome was the prevalence of these microbes at enrolment. Logistic regression was performed to investigate differences in microbe prevalence between children with and without acute respiratory illness with cough as a symptom (ARIwC) at time of specimen collection.

Results

Between February 2013 and October 2015, 164 children were enrolled. The median age at enrolment was 18.0 months (IQR 7.2–34.3), 49.4% were boys and 56 children (34.2%) had ARIwC. Overall, 133/164 (81%) nasal swabs were positive for at least one organism; 131 (79.9%) for any bacteria, 59 (36.2%) for any virus and 57 (34.8%) for both viruses and bacteria. Co-detection of viruses and bacteria was more common in females than males (61.4% vs 38.6%, p = 0.044). No microbes, alone or in combination, were significantly associated with the presence of ARIwC.

Conclusions

The prevalence of upper airways microbes in asymptomatic children is similar to non-Indigenous children with ARIwC from the same region. Determining the aetiology of ARIwC in this community is complicated by the high prevalence of multiple respiratory pathogens in the upper airways.

Study registration

Australia New Zealand Clinical Trial Registry Registration Number: 12,614,001,214,628. Retrospectively registered.

Keywords

Aboriginal and Torres Strait Islander Child Respiratory Nasal carriage Viruses Bacteria Prevalence

Background

Acute and chronic respiratory illnesses are predominant causes of morbidity and mortality in Aboriginal and Torres Strait Islander (hereforth respectfully called Indigenous) children in Australia [1]. In some remote regions of Australia, Indigenous infants present on average at least once a fortnight to community clinics and acute respiratory illnesses (ARI) are the most common reason for attendance [2]. Indigenous children are 2.6 times more likely to present to emergency departments (ED) with ARI [3] and twice as likely to be hospitalised for an ARI than non-Indigenous children [1]. However, respiratory research in Indigenous children has predominantly focused on remote-based children [4, 5], although the majority of Indigenous children live in urban or inner regional areas of Australia, with Brisbane having the largest of those communities [6]. There is a conspicuous lack of current data on ARI and related respiratory microbes in urban Indigenous children at the community level and it is unknown whether it is similar to remote children or non-Indigenous children in urban settings. Further, cough is the most common symptom associated with health care utilisation amongst Australian children [7], including Indigenous children and, if present in ARI, is likely indicative of a lower ARI particularly if wet.

Establishing the microbiological aetiology of ARI with cough (ARIwC) in children is complex, particularly if upper airway specimens are used [8], given many organisms are also detected in the nasopharynx of healthy children. However upper airway microbial data obtained from the nasopharynx are still considered important because they can provide important epidemiological information on the prevalence of, and temporal trends in, organisms within and between different populations. Knowing upper airway microbial epidemiology is particularly important to informing public health strategies such as vaccination. Increasingly co-detection of viruses with bacteria is considered important and a recent South African study reported 5 different types of organisms per episode were found in the upper airways of young children [9]. Yet, there are limited data on factors that are associated with virus and bacteria co-detection in Indigenous children, particularly those in urban settings.

Thus, in 164 urban-based Indigenous children presenting to an urban primary health care service, we described the prevalence of upper airway respiratory viruses and bacteria. We also sought to identify factors associated with virus-bacteria codetection. We hypothesised that virus-bacteria codetection was more likely in children with ARIwC than those without.

Methods

Design and setting

We analysed data from a cohort of urban Aboriginal and Torres Strait Islander children aged less than 5 years collected at time of enrolment into a prospective study of ARIwC. The full protocol of the prospective study has been previously published [10]. The study was conducted in a large primary healthcare clinic in the northern suburbs of subtropical Brisbane which has a patient population of approximately 11,500 people. Fifty-nine percent of the patients identify as being Indigenous.

Recruitment and data collection

An Aboriginal research officer approached all children aged less than five years and their parent or guardian at time of presentation to the clinic for any reason (including well child checks and accompanying another person presenting for health care). Children were eligible for inclusion in the primary cohort study [10] if they were: a) identified by the parent/guardian as being Indigenous; b) a regular patient of the clinic; c) aged less than five years at time of enrolment, and; d) parents/guardians were willing and able to complete the study requirements. The reason for presentation and the presence of ARIwC were not determined until after the child had been enrolled. For the analysis presented in this manuscript, only children who had a nasal swab performed were included. There were no exclusion criteria.

At enrolment, detailed demographic, environmental, clinical and socio-economic data were collected, and an anterior bilateral nasal swab was performed. Nasal swabs were collected using the Virocult system (Medical Wire and Equipment, Corsham, UK) by inserting the tip at least 1 cm into each nare and turning the swab four times against the nasal mucosa. A child was considered symptomatic of ARIwC if any of the following symptoms occurred within seven days prior to and including the day of enrolment: cough and other local or systemic symptoms suggestive of a respiratory illness (eg. runny nose, wheeze, dyspnoea and tachypnoea). Children did not meet the case definition if cough was not present during that time.

Laboratory methods

Nasal swabs were stored refrigerated until they were transferred within one week to -80 °C freezers. Multiplex polymerase chain reaction (PCR) was used to test for adenovirus, respiratory syncytial virus (RSV) groups A and B, influenza virus types A and B, parainfluenza virus types 1–3, human metapneumovirus, human rhinoviruses, human coronaviruses (OC43, 229E,NL63 + HKU1), human bocavirus, human polyomaviruses KI and WU, M. pneumoniae, C. pneumoniae, B. pertussis, S. pneumoniae, S. aureus, non-typeable Haemophilus influenzae (NTHi) and M. catarrhalis using previous established methods [11, 12].

Data analyses

Descriptive analyses were performed with data expressed as proportions and/or means of the selected characteristics. Where continuous data were not normally distributed, medians with accompanying interquartile ranges are presented. Univariate analyses were performed to evaluate potential differences in child characteristics between swabs in which codetection of virus and bacteria did and did not occur. Chi2 statistics were used to assess differences in proportions and the Wilcoxon Rank Sum test was used to compare differences in medians. Given the lack of sufficient significant findings on univariate analyses, regression analyses were not performed. All analyses were performed in Stata V14SE (StataCorp, College Station, TX, USA).

Results

Between February 2013 and November 2015, 403 children were screened and 180 Indigenous children were enrolled. Reasons for non-enrolment were 20 (4.9%) were non-Indigenous, 72 (17.9%) declined, 43 (10.7%) were ineligible and 88 (21.8%) were not enrolled for other reasons. There were no differences in age and gender between children who were and were not enrolled. One child was withdrawn as a screen failure, 15 children/parents refused specimen collection and thus nasal swabs were collected from 164 children. Of the 164 children, the median age at enrolment was 18.0 months (interquartile range (IQR) 7.2–34.3) and 49.4% were male; respiratory symptoms at time of enrolment were present in 56 children (34.2%). There were no differences in the median ages of children with and without ARIwC (p = 0.432) nor any differences within and between age groupings (ie. < 6 months, 6 - <12 months, 12 - <24 months and 24+ months; p = 0.529).

Overall 133/164 (81%) nasal swabs were positive for at least one organism, 131 (79.9%) for any bacteria, 59 (36.2%) for any virus and 57 (34.8%) for both viruses and bacteria (Table 1). All but two swabs that were positive for one or more viruses also had bacteria detected. Three or more organisms were detected in 33.1% of swabs. C. pneumoniae and M. pneumoniae were not detected in any specimens and are not considered further. There were no statistical differences in the prevalences of any virus or bacterium, alone or in combination, between children with and without ARIwC (Table 1). Even in children without ARIwC, a virus was detected in 36.5% of children.
Table 1

Prevalence of viruses and bacteria detected in the nasal swabs of 164 urban Indigenous children aged less than 5 years by presence of ARI with cough

 

All episodes

Symptomatic (56)

Asymptomatic (108)

p value

 

n (%)

n (%)

n (%)

Any organism positive

132 (81.1)

44 (78.6)

88 (81.5)

0.522

Total organisms positive

    0

31 (19.0)

12 (21.4)

19 (17.8)

0.493

    1

40 (24.4)

15 (26.8)

25 (23.1)

 

    2

37 (22.7)

15 (26.8)

22 (20.6)

 

    3

25 (15.3)

6 (10.7)

19 (17.8)

 

    4

20 (12.3)

4 (7.1)

16 (15.0)

 

    5

9 (5.5)

4 (7.1)

5 (4.7)

 

NTHi + any other organism

40 (23.4)

12 (21.4)

28 (25.9)

0.525

NTHi only

13 (7.9)

4 (7.1)

9 (8.3)

0.789

NTHi + Mcat only

4 (2.4)

1 (1.8)

3 (2.8)

1.000

NTHi + Spn only

4 (2.4)

2 (3.6)

2 (1.9)

0.606

NTHi + Mcat + Spn only

5 (3.1)

1 (1.8)

4 (3.7)

0.662

NTHi only + Any virus

25 (15.2)

8 (14.3)

17 (15.7)

0.806

NTHi + Mcat + Any virus

19 (11.6)

6 (10.7)

13 (12.0)

0.802

NTHi + Spn + Any virus

20 (12.2)

6 (10.7)

14 (12.7)

0.676

NTHi + Mcat + Spn + Any virus

15 (9.2)

4 (7.1)

11 (10.2)

0.522

Spn + any other organism

88 (53.7)

29 (51.8)

59 (54.6)

0.729

Spn only

4 (2.4)

2 (3.6)

2 (1.9)

0.606

Spn + Mcat only

9 (5.5)

2 (3.6)

7 (6.5)

0.720

Spn only + any virus

2 (1.2)

2 (3.6)

0

-

Spn + Mcat + Any virus

8 (4.9)

2 (3.6)

6 (5.6)

0.717

Mcat + any other organism

78 (47.6)

26 (46.4)

52 (48.2)

0.834

Mcat only

4 (2.4)

2 (3.6)

2 (1.9)

0.606

Mcat only + Any virus

8 (4.9)

2 (3.6)

6 (5.6)

0.717

Saur

32 (19.5)

7 (12.5)

25 (23.2)

0.103

Saur only

10 (6.1)

0

10 (9.3)

-

Bpert + any other

1 (0.6)

0

1 (0.9)

-

Bpert only

0

0

0

-

Any bacteria positive (not excl virus)

131 (79.9)

42 (75.0)

89 (82.4)

0.262

Any bacteria positive (excl virus)

81 (49.4)

27 (48.2)

54 (50.0)

0.828

Number bacteria positive (not excl virus)

    

    0

33 (20.1)

14 (25.0)

19 (17.6)

0.657

    1

53 (32.3)

18 (32.1)

35 (32.4)

 

    2

49 (29.9)

17 (30.4)

32 (29.6)

 

    3

26 (15.9)

6 (10.7)

20 (18.5)

 

    4

3 (1.8)

1 (1.8)

2 (1.9)

 

RSV + any organism

6 (3.7)

2 (3.6)

4 (3.7)

0.957

RSV only

0

0

0

 

Human rhinovirus + any organism

29 (17.8)

9 (16.1)

20 (18.7)

0.678

Human rhinovirus only

0

0

0

 

Adenovirus + any other organism

5 (3.1)

2 (3.6)

3 (2.8)

0.787

Adenovirus only

0

0

0

 

Human metapneumovirus + any other

2 (1.2)

1 (1.8)

1 (0.9)

1.000

Human metapneumovirus only

0

0

0

 

Parainfluenzae types 1–3 + any other

6 (3.7)

2 (3.6)

4 (3.7)

1.000

Parainfluenzae types 1–3 only

0

0

0

 

Influenza + any organism

1 (0.6)

1 (1.8)

0

-

Influenza only

0

0

0

 

Bocavirus + any organism

11 (6.8)

3 (5.4)

8 (7.5)

0.608

Bocaonly

0

0

0

 

Human coronaviruses + any organism

5 (3.1)

2 (3.6)

3 (2.8)

1.000

Human coronaviruses only

0

0

0

 

Polyomaviruses + any organism

8 (4.9)

3 (5.4)

5 (4.7)

1.000

Polyomaviruses only

1 (2.3)

1 (1.8)

0

-

Any virus positive (not excl bacteria)

59 (36.2)

20 (35.7)

39 (36.5)

0.926

Any virus positive (no bacteria)

2 (2.3)

2 (3.6)

0 (0)

-

Number virus positive (+ any bacteria)

    

    0

104 (63.8)

36 (64.3)

68 (63.6)

0.959

    1

47 (28.8)

16 (28.6)

31 (29.0)

 

    2

10 (6.1)

3 (5.4)

7 (6.5)

 

    3

2 (1.2)

1 (1.8)

1 (0.9)

 

Virus and bacteria positive

57 (34.8)

18 (32.1)

39 (36.1)

0.613

NTHI non-typeable H. influenzae, Spn S. pneumoniae, Mcat M. catarrhalis, Saur S. aureus, Bpert B. pertussis, RSV respiratory syncytial virus

Virus-bacteria co-detection was more frequent in females than males (61.4% vs 38.6%, p = 0.044) and this was not age-dependent. No other characteristics were significantly different between children with and without codetection of viruses and bacteria (Table 2). The prevalences of specific bacterium – bacterium, virus – virus and virus-bacterium codetections are presented in the Additional file 1: Table S1.
Table 2

Child characteristics by codetection of both viruses and bacteria in nasal swabs from 164 urban Indigenous children aged less than 5 years

 

All episodes

Codetection

No codetection

p-value

(N = 164)

(N = 57)

(N = 107)

 

n (%)

n (%)

n (%)

Gender

    Male  

81 (49.4)

22 (38.6)

59 (55.1)

0.044

    Female

83 (50.6)

35 (61.4)

48 (44.9)

 

Median age in months (IQR)

18.0 (7.2–34.3)

17.7 (10.4–25.8)

18.2 (6.3–39.1)

0.511

Agegroup (Months)

     < 6

32 (19.5)

7 (12.3)

25 (23.4)

0.529

    6 - <12

26 (15.9)

9 (15.8)

17 (15.9)

 

    12 - <24

43 (26.2)

23 (40.3)

20 (18.7)

 

    24 - <60

63 (38.4)

18 (31.6)

45 (42.1)

 

Total annual household income (AUD)

     > =$78,000

16 (9.8)

5 (8.8)

11 (10.3)

0.947

    $52,000 - < $78,000

25 (15.2)

10 (17.5)

15 (14.0)

 

    $26,000 - < $52,000

62 (37.8)

21 (36.8)

41 (38.3)

 

     < $26,000

61 (37.2)

21 (36.8)

40 (37.4)

 

Gestational age

     > = 37 weeks

145 (88.4)

9 (15.8)

10 (9.4)

0.220

     < 37 weeks

19 (11.6)

48 (84.2)

97 (90.7)

 

Birth weight

     > =2500 g

135 (82.3)

45 (78.9)

90 (84.1)

0.409

     < 2500 g

29 (17.7)

12 (21.1)

17 (15.9)

 

Breastfeeding history

    Ever breastfed

119 (72.6)

41 (71.9)

78 (72.9)

0.895

    Never breastfed

45 (27.4)

16 (28.1)

29 (27.1)

 

Child care attendance

    Yes

49 (29.9)

21 (36.8)

28 (26.2)

0.155

    No

115 (70.1)

36 (63.2)

79 (73.8)

 

Number of other children in the house

    0

33 (20.1)

14 (24.6)

19 (17.8)

0.239

    1–2

93 (56.7)

32 (56.1)

61 (57.0)

 

     > =3

38 (23.2)

11 (19.3)

27 (25.2)

 

Pets in household

    Yes

94 (57.3)

35 (61.4)

59 (55.1)

0.440

    No

70 (42.7)

22 (38.6)

48 (44.9)

 

Regular exposure to environmental tobacco smoke

    Yes

119 (72.6)

44 (77.2)

75 (70.1)

0.332

    No

45 (27.4)

13 (22.8)

32 (29.9)

 

Respiratory symptom at time of swab

    Yes

56 (34.1)

18 (31.6)

38 (35.5)

0.613

    No

108 (65.9)

39 (68.4)

69 (64.5)

 

Season of enrolment

    Summer

38 (23.2)

12 (21.0)

26 (24.3)

0.500

    Autumn

50 (30.5)

15 (26.3)

35 (32.7)

 

    Winter

35 (21.3)

16 (28.1)

19 (17.8)

 

    Spring

41 (25.0)

14 (24.6)

27 (25.2)

 
The seasonal distribution of organisms detected is presented in Fig. 1; influenza and B. pertussis are not included given each was only detected in one swab over the entire study. All other bacteria were detected across all seasons of the year however this did not occur for the parainfluenza viruses, adenovirus, polyomaviruses and coronaviruses.
Fig. 1

Seasonal distribution of upper airway viruses and bacteria in a cohort of urban Aboriginal and Torres Strait Islander children (n = 164)

Discussion

Given the lack of microbiological data in the upper airways of urban-based Indigenous children, we investigated this in a cohort of children aged <5 years attending a primary health care service with and without ARIwC. Irrespective of the reason for presentation to the clinic, a third of the children had ARIwC symptoms at enrolment. The prevalence of upper airway respiratory viruses and bacteria were very high; at least one virus or bacteria was detected in 81% of children and ≥3 organisms were detected in a third. The detection of any upper airway viruses and/or bacteria, alone or in combination, was similar between children with and without ARIwC and was not associated with age.

The prevalence of any organism in children in this study of 81% is similar to children aged <15 years presenting acutely to a tertiary paediatric emergency department (ED) in the same geographical location with ARIwC (91%), the majority of whom were non-Indigenous [13]. The prevalence of co-detection of viruses and bacteria in the ED study was 51.8% [13], higher than the 34.8% in this cohort. However, children in the ED study were all symptomatic for ARIwC whilst the majority of children in this current study were asymptomatic. The two studies utilised the same specimen collection and laboratory methods and tested for the same organisms at the research laboratory. In both studies, S. pneumoniae followed by M.catarrhalis and NTHi were the dominant bacteria and rhinoviruses were the most common virus. B. pertussis, M. pneumoniae and C. pneumoniae were rare and influenza was uncommon. Respiratory syncytial virus was only observed in 4 % of children in this study but was detected in 17% of children in the ED study [14]. In that study, RSV was weakly associated with children being hospitalised [14] and its higher prevalence amongst ED children compared to community children possibly reflects the severity of illness if infected rather than community prevalence. The seasonal distribution of organisms was also similar to that identified in the ED study [13], including a predominance of the autumn months for NTHi and RSV and that virus-bacteria codetection occurred predominantly in autumn and winter.

In a study of upper airway viruses and bacteria in Central Australian Aboriginal children hospitalised for pneumonia [8], a population with high rates of hospitalised lower ARI [15] and nasal colonisation [16], the overall prevalence of any organism was 94.5%, with 34.5% positive for both viruses and bacteria. The prevalences of S. pneumoniae, M. catarrhalis and NTHi were 64%, 70.3% and 76.5% respectively [8]. That study differed from the two Brisbane studies in that the NT study focused on children hospitalised with pneumonia rather than non-severe ARIwC, different specimen collection techniques were used, the PCR for bacteria was performed at a different laboratory and the Central Australian study was undertaken prior to widespread implementation of pneumococcal conjugate vaccines. However, more recent community based studies of nasopharyngeal carriage of these bacteria in the Northern Territory in the 13-valent pneumococcal conjugate vaccine era identified prevalences of 77% for S. pneumoniae, 45% for M. catarrhalis and 63% for NTHi [16]. Viruses were not reported in that study. In a Western Australian study of asymptomatic rural Aboriginal children that included testing for the same viruses as our study with the exception of bocavirus and the polyomaviruses [17], viruses were detected in 41% of children (most commonly rhinoviruses: 23.6%). Thus our data suggest that viral infection may be comparable between urban and remote Indigenous children however bacterial carriage is likely to be higher in remote children.

We identified only two swabs that were positive for viruses only (i.e. most had virus with bacteria co-detection); one was a single isolation of a polyomavirus and the other was a co-detection of rhinovirus and bocavirus. The reasons why we found so few virus-only detections are uncertain, particularly given few data in the literature that have tested for the same spectrum of organisms by PCR that was undertaken in this study. Both swabs were from children with ARIwC at the time of testing but the clinical significance of virus only detections is unknown. A recent study of respiratory viruses (n = 15) detected by PCR in 560 paediatric episodes of ARI reported 457 episodes were virus positive, of which 331 were single infections and 126 were multiple infections; testing was undertaken for only two bacteria (C. pneumoniae and M. pneumoniae) [18]. There was no difference in clinical severity and management between children with single infections and those with multiple infections.

We found no relationship between the child characteristics and virus-bacteria codetection other than gender. Notably there were no differences in codetection between children with and without ARIwC, although the lack of difference may be attributable to a secondary analysis of data and hence lack of power to identify important differences. However, there are limited studies that have evaluated a similar spectrum of organisms by PCR methods that included children with and without ARIwC at the community level. A Finnish study of 426 children aged 6 to 35 months with and without acute otitis media reported a number of associations between several viruses and fever, nasal congestion, rhinitis and cough [19]. M. catarrhalis in the presence of viruses was also associated with rhinitis, nasal congestion and cough [19]. In 161 Norwegian children attending two daycare centres over a 2-year period, nasopharyngeal swabs (NPS) were collected over 4 time points and analysed by PCR for B. pertussis, M. pneumoniae, C. pneumoniae and 16 viruses [20]. Overall 43% of 343 specimens were positive for at least one virus and none were positive for the three bacteria. In 331 swabs collected from 355 children who underwent a clinical examination, 70% of children with clear signs of respiratory tract infection were virus positive, compared to 41% with mild findings and 30% in those who were asymptomatic (p < 0.001), with rhinovirus the most common virus detected in all 3 groups [20]. In a study of respiratory viruses in Alaska Native children hospitalised with acute lower respiratory infections and age-matched community controls, viruses were detected by PCR in NPS in 90% of 440 hospitalized children and 52% of 425 asymptomatic community controls, with rhinoviruses the most common in both groups [21]. Bacteria were not reported in that study. While comparisons between children across studies are problematic given differences in demographics, geography and study methods, our study and those above emphasise the complexity in assigning ARIwC causality based on nasal specimens in children given the high prevalence of multiple organisms in asymptomatic children. The probable exceptions are RSV, influenza virus and human metapneumovirus given their relatively strong association with severe ARI in children and a low prevalence in asymptomatic children in several studies [22]. As these viruses were uncommon in our study it was not possible to examine their role in symptomatic respiratory infections.

Our study has limitations given the cross-sectional nature of the analyses, the relatively small number of children enrolled and that given this was single centre study, the children who were enrolled may differ to the general population of urban Indigenous children in Australia posing a risk of selection bias. Our study children differed from national Indigenous statistics with respect to the high prevalence of exposure to environmental tobacco smoke and other household characteristics such as the high number of single parent households, low total annual household income and low levels of attendance at childcare [23]. Further, PCR detection of viruses and bacteria does not necessarily equate to active infection at the time of testing and simply provides an indication of recent exposure to the organism. Next generation sequencing holds promise for the improved detection and differentiation of respiratory pathogens [24]. however the tests are costly which currently limits the use of the technology in population-based studies.

Conclusions

Our study is the first to report upper airway microbial in urban-based Indigenous children with and without ARIwC that includes the range of microbes we tested for. With the exception of RSV, the prevalence of upper airway respiratory viruses and bacteria in urban Indigenous children is comparable to acutely unwell non-Indigenous children from the same urban area but differs from remote Indigenous children with respect to the latter having a higher prevalence of respiratory bacteria. Given the high prevalence (82%) of organisms detected in children without ARI, upper airway microbiology in urban-based Indigenous children should be interpreted with caution.

Abbreviations

ARI: 

Acute respiratory illness

CI: 

Confidence interval

ED: 

Emergency department

IQR: 

Interquartile range

NPS: 

Nasopharyngeal swab

NTHi: 

Non-typeable Haemophilus influenzae

PCR: 

Polymerase chain reaction

RSV: 

Respiratory syncytial virus

UK: 

United Kingdom

Declarations

Acknowledgements

The authors would like to thank the children and families who participated in this study and the staff of Caboolture Community Medical for supporting the implementation of the study in their practice. We thank our Indigenous Research Reference Group for cultural oversight of the study throughout its duration. At the Queensland Paediatric Infectious Diseases Laboratory, Jane Gaydon was instrumental in the processing and reporting of respiratory specimens.

Funding

Funding for the study was provided through a Queensland Children’s Medical Research Institute project grant, a University of Queensland Foundation Research Excellence Award, a Queensland Government Smart Futures Fellowship (51008) and a QUT Indigenous Health start-up research grant to KFO. KFO is funded by a National Health and Medical Research Council (NHMRC) Career Development Fellowship (1045147). KKH is funded by an Australian Postgraduate Award (2014–2016) and a supervisor top-up scholarship through the Centre for Research Excellence for Lung Health in Aboriginal and Torres Strait Islander children. ABC is funded by a NHMRC Practitioner Fellowship (1058213).

Availability of data and materials

Study data and materials may be made available on request with appropriate human research ethics committee approval and with the consent of the participating community as required by Australian criteria for research with Indigenous communities.

Authors' contributions

KFO conceptualized the study, analysed the data and lead the production of the manuscript. KKH contributed to study design, had primary responsibility for recruitment and data collection and contributed to the manuscript. TPS was responsible for the laboratory components of the study and interpretation of laboratory data. JA contributed to study design, managed the study at CCM and contributed to the manuscript. ABC contributed to study design and implementation and provided significant input to the drafting of the manuscript.

Competing interests

JA is the Director of the clinic in which this study was conducted. She had no role in the recruitment and consent of participants and did not receive financial support for the study.

Consent for publication

Not applicable.

Ethics approval and consent to participate

The study was approved by the Human Research Ethics Committees of the Queensland Children’s Hospital and Health Services (HREC/12/QRCH/169), and the Queensland University of Technology (1300000741). Informed consent was obtained from parents or guardians. An Indigenous Research Reference Group provided cultural oversight of the study. Written informed consent was obtained from parents/guardians following provision of a plain language statement explaining the study.

Publisher’s Note

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Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Institute of Health & Biomedical Innovation, Centre for Children’s Health Research, Queensland University of Technology
(2)
Child Health Research Centre, Centre for Children’s Health Research, The University of Queensland
(3)
Caboolture Community Medical
(4)
Menzies School of Health Research, Charles Darwin University
(5)
Department of Respiratory Medicine, Lady Cilento Children’s Hospital

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Copyright

© The Author(s). 2017

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