The effects of culture independent diagnostic testing on the diagnosis and reporting of enteric bacterial pathogens in Queensland, 2010 to 2014

This article discusses how the introduction of culture independent diagnostic testing into pathology laboratories in Queensland has impacted diagnosis and reporting of gastrointestinal illness. The article focuses on Salmonella, Campylobacter, Shigella and Yersinia, and shows that the incidence of all four pathogens increased after the introduction of culture independent diagnostic testing. While this change in testing improves detection of pathogens, it doesn’t provide a bacterial culture for further characterisation or antimicrobial susceptibility testing. It is recommended that laboratories continue to perform culture of specimens in addition to culture independent diagnostic testing.

Page last updated: 14 December 2017

Fiona J May, Russell J Stafford, Heidi Carroll, Jennifer MB Robson, Renu Vohra, Graeme R Nimmo, John Bates, Martyn D Kirk, Emily J Fearnley and Benjamin G Polkinghorne

Abstract

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Changes in diagnostic laboratory testing procedures can impact on the number of cases notified and the public health surveillance of enteric pathogens. Culture independent diagnostic testing using a multiplex polymerase chain reaction (PCR) test was introduced for the rapid detection of bacterial enteric pathogens in pathology laboratories in Queensland, Australia, from late 2013 onwards. We conducted a retrospective descriptive study using laboratory data to assess the impact of the introduction of PCR testing on four common enteric pathogens, Salmonella, Campylobacter, Shigella and Yersinia, in Queensland between 2010 and 2014.

The number of stool specimens tested and the proportion positive for each of the four pathogens increased in 2014 after the introduction of culture independent diagnostic testing. Among the specimens tested by both PCR and culture, 12% of Salmonella positive stools, 36% of Campylobacter positive stools, 74% of Shigella / enteroinvasive Escherichia coli positive stools and 65% of Yersinia positive stools were PCR positive only. Including those where culture was not performed, 19% of Salmonella positive stools, 44% of Campylobacter positive stools, 83% of Shigella positive stools and 79% of Yersinia positive stools had no cultured isolate available for further characterisation. The detection and tracking of foodborne and non-foodborne gastrointestinal outbreaks will become more difficult as culture independent diagnostic testing becomes more widespread. Until new techniques for characterisation of pathogens directly from clinical specimens have been developed, we recommend laboratories continue to culture specimens concurrently or reflexively with culture independent diagnostic tests.

Introduction

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For bacterial enterocolitis, identification of the causative agent is important to inform clinical management and prevent ongoing transmission. Most cases only require supportive treatment.1 For public health surveillance to examine trends in disease, detect outbreaks and monitor antimicrobial resistance, additional information about the pathogen strain or serotype is required. Traditional laboratory methods of culture followed by characterisation of isolates provide essential information for these purposes.

Culture independent diagnostic testing (CIDT) includes any laboratory test that does not require the agent to be cultured prior to identification. CIDT currently used by pathology laboratories worldwide include tests that amplify and/or detect nucleic acid (most commonly polymerase chain reaction [PCR]) and tests that detect antigens, such as enzyme immunoassays.2-4 These tests are often fast, easy to perform, sensitive and reliable. However, they are generally unable to identify serotypes or genotypes that are used to link cases in an outbreak, or provide antimicrobial susceptibility for treatment. CIDT may also detect non-viable organisms or residual DNA and are unable to distinguish between symptomatic cases and asymptomatic carriage.5-7 Improved diagnostic sensitivity may provide a more accurate estimate of burden of disease. In addition, the ability of multiplex PCR to detect polymicrobial infections provides new insight into diseases and pathogen interactions.3,4 The change in methodology makes interpreting disease trends over time difficult.3

Clinical diagnostic pathology in Queensland (Qld), Australia, is predominantly provided by two private laboratories and one public laboratory, covering approximately 95% of the pathology market in Qld. Both private laboratories introduced a Roche PCR (https://lifescience.roche.com/en_au/brands/lightmix.html) for enteric bacterial pathogens in late 2013 and the public laboratory introduced a non-commercial in-house PCR for enteric pathogens in late 2015. These laboratories continue to culture enteric pathogens, either concurrently with the PCR, or reflexively for PCR positive stools only. Culture alone was performed if requested.

Salmonella (non-typhoidal), Campylobacter, Shigella and Yersinia together contribute approximately 99% of the potentially foodborne bacterial infections notified to Qld Health every year.8 We assessed the impact of changed testing procedures on these four pathogens in Qld between 2010 and 2014.

Methods

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Data collection

The three participating laboratories provided data on all Salmonella, Campylobacter, Shigella and Yersinia test results for stool samples from people with Qld residential postcodes performed between 2010 and 2014, inclusive. Each laboratory provided the date the sample was received by the laboratory, the organism(s) identified by culture where applicable, and the results of PCR testing where applicable. The public laboratory, despite catering to a different population to the private laboratories, was used as a culture-only comparison group for observing the change in stool submission rates and pathogen incidence.

Data analysis

Samples positive for Salmonella Typhi or Salmonella Paratyphi were excluded as the public health response for these two serotypes is different from the public health response for other Salmonella serotypes.

The number of stool tests positive and the percent of tests positive (percent positivity) were calculated for each pathogen by month of sample receipt. The denominator data used to calculate the percent positivity was the total number of stool specimens tested for bacterial enteric pathogens at each laboratory during each month, whether they were positive or negative for any pathogen.

Percent positivity before the introduction of PCR (data from 2010 to 2012 [pre-PCR]) and after the introduction of PCR (data from 2014 [post-PCR]) were compared for all laboratories. Data from 2013 was not included in the comparison as the private laboratories introduced PCR in different months during 2013. An alternative pre-PCR period of July 2012 to June 2013 was used for Campylobacter to compensate for the decline in incidence in early 2012. Significance (P ≤ 0.05) was assessed using the two sample test of proportions.

Percent positive agreement (PPA) between culture and PCR was calculated for each pathogen as a measure of agreement between these two tests. This measure is the percentage of the total number of stools where both tests were positive divided by the total number of tests positive by at least one test, where both tests were performed and is used to measure agreement when a gold standard test is unavailable for calculating sensitivity and specificity.9 This method disregards samples that were negative by both methods in order to reduce the impact of large numbers of negative specimens. Specimens where one of the test methods was not performed were also disregarded.

All data were cleaned and analysed using StataSE 13 (Stata Corp, College Station, TX, USA) and Microsoft Excel.

Ethics approval

Human research ethics approval for the study was obtained through both the Australian National University Research Ethics Committee (reference number 2015/429) and the Royal Brisbane and Women’s Hospital Human Research Ethics Committee (reference number HREC/15/QRBW/404).

Results

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A total of 740,327 stools were tested for gastrointestinal pathogens at the three laboratories during the study period. The number of stool specimens submitted for testing at the three participating laboratories increased considerably following the introduction of PCR in late 2013 (Figure 1). The stool submission rate post-PCR was 3,920 per 100,000 population compared to a mean annual rate of 3,038 per 100,000 for the period pre-PCR. For the private pathology laboratories combined, the mean number of stools tested per month increased significantly by 45% (P <0.001) post-PCR compared to pre-PCR. The public pathology laboratory reported a significant 9% increase (P < 0.001) during the same period without the introduction of PCR testing.

Figure 1. Total number of stools tested by each laboratory, and the rate of stools tested per 100,000 population, by month and year, Qld, 2010 to 2014. The private laboratories introduced PCR in late 201.

Figure 1 is a histogram showing the number of stool tests performed per month by laboratory between 2010 and 2014. A line shows the total rate of stool tests per 100 000 population. While the number of tests performed at the public laboratory does not not

Text version of the Figure (TXT 1 KB)

The number of stools that tested positive for Salmonella was significantly higher post-PCR when compared to the number positive during the pre-PCR period (Figure 2). Similarly, the proportion of positive stools each month increased post-PCR compared to the pre-PCR period. The proportion of stools positive for Salmonella at the private laboratories combined increased from 2.0% to 2.6% (P = 0.006) (Table 1). Public laboratory data showed a small, but non-significant increase in stools positive for Salmonella (2.9% to 3.5%).

Figure 2. Number of stools positive for Salmonella by culture and/or PCR at the Qld private laboratories, and the proportion (%) of positive stool specimens by month and year, 2010 to 2014. The private laboratories introduced PCR in late 2013.

Figure 2 is a histogram showing the number of stools that tested positive for Salmonella each month between 2010 and 2014, by type of test performed. The types of test include polymerase chain reaction, culture, or both polymerase chain reaction and cultu

Text version of the Figure (TXT 1 KB)

Table 1. Proportion of stools positive and monthly mean for each pathogen before and after introduction of PCR, by whether the laboratory had introduced PCR.

Pathogen

Type of laboratory

Pre-PCR

Post-PCR

%

Monthly mean

%

Monthly mean

P value†

Salmonella

Private (PCR)

2.0

173

2.6

322

0.006

Public (no PCR)

2.9

78

3.5

103

0.22

Campylobacter

Private (PCR)

2.8

241

4.0

505

<0.001

Public (no PCR)

3.2

89

3.1

91

0.72

Shigella

Private (PCR)

0.03

3

0.32

40

<0.001

Public (no PCR)

0.14

4

0.16

5

0.97

Yersinia

Private (PCR)

0.06

5

0.39

49

<0.001

Public (no PCR)

0.07

2

0.12

4

0.63

† Two sample test of proportions

The number of stools positive for Campylobacter was higher post-PCR when compared to the monthly number positive pre-PCR (Figure 3) and the proportion of stools that tested positive increased significantly from 2.8% to 4.0% (P <0.001) when comparing 2012/13 pre-PCR period with the post-PCR period (Table 1). The public laboratory showed a non-significant decrease in the proportion of Campylobacter positive stools per month when the 2012/13 pre-PCR period was compared with post-PCR (Table 1).

Figure 3. Number of stools positive for Campylobacter by culture and/or PCR at the Qld private laboratories, and the proportion (%) of positive stool specimens, by month and year, 2010 to 2014. The private laboratories introduced PCR in late 2013.

Figure 3 is a histogram showing the number of stools that tested positive for Campylobacter each month between 2010 and 2014, by type of test performed. The types of test include polymerase chain reaction, culture, or both polymerase chain reaction and cu

Text version of the Figure (TXT 1 KB)

The proportion of stools positive for Shigella at the private laboratories combined increased significantly from 0.03% pre-PCR to 0.32% post-PCR (P <0.001) (Figure 4, Table 1). The public laboratory showed only a slight increase in the proportion of stools positive per month post-PCR compared with pre-PCR (Table 1). The increase was not significant.

Figure 4. Number of stools positive for Shigella by culture and/or PCR (Shigella/EIEC) at the Qld private laboratories, and the proportion (%) of positive stool specimens, by month and year, 2010 to 2014. The private laboratories introduced PCR in late 2013.

Figure 4 is a histogram showing the number of stools that tested positive for Shigella each month between 2010 and 2014, by type of test performed. The types of test include polymerase chain reaction, culture, or both polymerase chain reaction and culture

Text version of the Figure (TXT 1 KB)

The proportion of stools positive for Yersinia at the private laboratories combined increased from 0.06% pre-PCR to 0.39% post-PCR (P <0.001) (Figure 5, Table 1). The public laboratory showed no significant difference in the proportion of stools positive per month post-PCR compared with pre-PCR (Table 1).

Figure 5. Number of stools positive for Yersinia by culture and/or PCR at the Qld private laboratories, by month and year and the proportion (%) of positive stool specimens, 2010 to 2014. The private laboratories introduced PCR in late 2013.

Figure 5 is a histogram showing the number of stools that tested positive for Yersinia each month between 2010 and 2014, by type of test performed. The types of test include polymerase chain reaction, culture, or both polymerase chain reaction and culture

Text version of the Figure (TXT 1 KB)

Table 2 shows the number and proportion of positive test results that were concordant (both tests gave the same result) or discordant (one positive result and one negative result) for PCR and culture at the private laboratories combined in 2014. Of those stools that tested positive for Salmonella, 17% had discordant results. More so, 36% of stools positive for Campylobacter, 74% of stools positive for Shigella and 65% of stools positive for Yersinia had discordant results.

Table 2. Number and proportion of positive stools by test type (private laboratories only), 2014. Shading shows discordant results.

PCR

Culture

Salmonella

Campylobacter

Shigella

Yersinia

n

%

n

%

n

%

n

%

+

+

1,641

42

2,239

37

48

10

123

21

+

-

482

12

2,176

36

352

74

379

65

-

+

193

5

12

0

0

0

1

0

+

ND*

238

6

476

8

42

9

80

14

ND*

+

1,311

34

1,154

19

35

7

5

1

Total

3,865

100

6,057

100

477

100

588

100

* ND – not done

The PPA for samples positive by culture and PCR (at the private laboratories combined) in 2014 was 71% (1,641/2,316) for Salmonella, 51% for Campylobacter (2239/4427) and 12% (48/400) for Shigella. PPA was not calculated for Yersinia as culture for this pathogen was not routinely performed prior to the introduction of PCR.

Discussion

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Introduction of PCR diagnostic testing of stools by the two Qld private pathology laboratories significantly impacted public health surveillance of Salmonella, Campylobacter, Shigella and Yersinia by markedly increasing the number and proportion of stools testing positive for these four pathogens. The changing baseline will have a major impact on interpretation of surveillance data and the reduction in the number of isolates available for characterisation will reduce the ability to detect clusters of related cases.

Much of the increase in the proportion of stools testing positive for Salmonella in 2014 can be attributed to the introduction of PCR and increase in testing in the private laboratories. At least 12% of Salmonella positive stools identified at the private laboratories in 2014 would not have been identified if PCR had not been in use (PCR positive, culture negative). Further characterisation of Salmonella strains by typing was unable to be performed for almost one fifth of stools as they were PCR positive only (culture negative or no culture performed) for Salmonella in 2014. Although maintaining concurrent or reflexive culture for PCR positive stools will not always result in an isolate,3 it remains of public health importance to attempt to acquire an isolate for as many cases of salmonellosis as possible.

The sharp decline in the number of Campylobacter positive stool specimens during 2012 and 2013 may reflect a real drop in the incidence of campylobacteriosis following commencement of the national Primary Production and Processing Standard for Poultry in 2012 after a two year implementation period.10 The decrease was observed in notification data in other jurisdictions.11 There was a significant increase in the proportion of positive stools in 2014 at the private laboratories that was not evident at the public laboratory. This suggests any increase in the total number of stools positive for Campylobacter in 2014 was primarily a result of the introduction of PCR at the private laboratories. The PPA for Campylobacter was 51%; almost all of the positive stools with discordant results had a negative culture. Campylobacter is difficult to culture as it requires specific environmental conditions (microaerophilic) and fresh stool samples in order to recover viable bacteria for culture,12 and culture based methods are less sensitive for detecting Campylobacter than PCR.13,14

Current PCR methods for identifying Shigella are unable to distinguish between Shigella species and enteroinvasive Escherichia coli (EIEC) as both are closely genetically related.15,16 However, EIEC typically causes milder symptoms than Shigella17 and is not notifiable in Australia. As 74% of stools positive for Shigella by PCR did not yield a culture, the large increase in the number of stools positive for Shigella may in part be due to cases of EIEC being detected by the Shigella PCR. However, since Shigella can be difficult to culture,18 the possibility that a proportion of the PCR positive samples were true cases of Shigella cannot be discounted. The case definition for Shigella in Qld requires isolation of the pathogen, so only those samples with an associated isolate are notified to the Qld Notifiable Conditions System and the National Notifiable Diseases Surveillance System.19 Thus, in 2014, over 80% of stools positive for Shigella by PCR were not notified or were rejected from the notification system. Nevertheless, although these possibly false positive samples were rejected when an isolate was unable to be obtained, they had already resulted in an increase in workload at both primary and reference laboratories where isolate characterisation is performed.

Not all pathology laboratories routinely use culture methods to select for Yersinia unless specifically requested by the clinician. However, as Yersinia enterocolitica is included in the multiplex PCR test, it was detected even when it was not specifically requested. This may explain some of the increase in the number of tests positive for Yersinia after introduction of PCR, and is a reflection of the true incidence of Yersinia in Qld. However, 65% of all stools positive for Yersinia were positive by PCR and negative by culture, suggesting a much higher sensitivity of PCR than culture for Yersinia.

An additional explanation for the increase in stools with a positive culture in Qld during the study period may be associated with the nature of reflexive testing with laboratory technicians searching more intensely for pathogens when they are aware of PCR positive samples.20

The proportion of tests positive by PCR only in Qld is higher than that seen in a United States (US) study, where 5% of Salmonella infections, 24% of Campylobacter infections, 14% of Shigella infections and 9% of Yersinia infections were positive by CIDT methods only (including PCR and other methods) in 2015.4 However, the US study only included tests done in a subset of the population, and adoption of PCR (compared with other CIDT) has been slow in some areas.4 Indeed, the proportion of salmonellosis cases in the US diagnosed by CIDT alone increased substantially in 2015 compared with 2012-2013.2

All three laboratories in the current study reported an increase in the total number of stool specimens tested for enteric pathogens, although the percent increase at the public laboratory, where PCR wasn’t introduced, was considerably lower than that reported by the private laboratories. It is likely that the increase is predominantly due to the availability of the more rapid PCR test leading to more requests for stool testing by general practitioners.

A limitation of this study is that only one year of data was available after the introduction of PCR at the private laboratories. Comparison of multiple years of data would ensure that the increased incidence of the pathogens in 2014 was not an anomaly. Publicly available notification data suggests that notifications of these four pathogens in Qld has stabilised at a higher rate than the pre-PCR period (data available from http://www9.health.gov.au/cda/source/cda-index.cfm). In addition, only Qld data was analysed, and only for four enteric pathogens. This study should be extended in the future to other jurisdictions across Australia, and for other pathogens. However, the results of this study can be used by laboratories and public health units to inform the way forward for diagnosis, referral and subtyping of enteric pathogens.

We have shown that the introduction of PCR has led to an increase in the detection of these four pathogens in stools, leading to an increase in incidence. Furthermore, PCR introduction has been associated with an increase in the number of stool specimens being submitted for testing though a significant proportion of positive stools are not yielding an isolate to enable strain characterisation for public health surveillance. Should pathology laboratories reduce or terminate concurrent and reflex culture, the number of specimens without an isolate for further characterisation will continue to increase. Until new techniques such as amplicon or whole genome metagenomics (direct sequencing of clinical specimens without need for isolates) are introduced, culture (reflex or concurrent) of enteric pathogens should remain a priority to enable appropriate public health surveillance for detection of outbreaks and monitoring of trends.

Acknowledgements

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The authors would like to thank all staff at Queensland Medical Laboratory, Sullivan Nicolaides Pathology, Pathology Qld and Queensland Health Forensic and Scientific Services for their work in identifying these pathogens and supplying these data. Dr May was a Master of Philosophy in Applied Epidemiology Scholar at the Australian National University at the time this project was conducted and received a scholarship funded by the Australian Government Department of Health.

Author details

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Dr Fiona J May1, Dr Russell J Stafford2, Dr Heidi Carroll3, Dr Jennifer MB Robson4, Dr Renu Vohra5, Prof Graeme R Nimmo6, Mr John Bates7, Associate Prof Martyn D Kirk8, Dr Emily J Fearnley9 and Dr Benjamin G Polkinghorne10

  1. Master of Philosophy in Applied Epidemiology Scholar, National Centre for Epidemiology and Population Health, Research School of Population Health, College of Medicine, Biology and Environment, Australian National University and Australian Government Department of Health, and Senior Epidemiologist, Health Protection Branch, Prevention Division, Department of Health, Queensland Government
  2. Epidemiologist Consultant, Communicable Diseases Branch, Prevention Division, Department of Health, Queensland Government
  3. Medical Director, Communicable Diseases Branch, Prevention Division, Department of Health, Queensland Government
  4. Pathologist, Sullivan Nicolaides Pathology, 24 Hurworth Street, Bowen Hills, Brisbane Qld 4006
  5. Pathologist, QML Pathology, 11 Riverview Place, Metroplex on Gateway, Murarrie, Qld 4172
  6. Director of Microbiology, Pathology Queensland Central Laboratory, Herston and Professor, Griffith University, School of Medicine
  7. Chief Scientist, Public Health Microbiology, Forensic and Scientific Services
  8. Associate Professor, National Centre for Epidemiology and Population Health, Research School of Population Health, College of Medicine, Biology and Environment, Australian National University
  9. Research Fellow, National Centre for Epidemiology and Population Health, Research School of Population Health, College of Medicine, Biology and Environment, Australian National University
  10. OzFoodNet Coordinating Epidemiologist, Australian Government Department of Health

Corresponding author: Dr Fiona J May Queensland Health PO Box 2368 Fortitude Valley BC Qld 4006 Phone: 07 3624 1212 Email: Fiona.May@health.Qld.gov.au

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