Skip to main content
Journal of Clinical Microbiology logoLink to Journal of Clinical Microbiology
. 2016 Mar 25;54(4):1094–1100. doi: 10.1128/JCM.03321-15

Evaluation of Luminex xTAG Gastrointestinal Pathogen Panel Assay for Detection of Multiple Diarrheal Pathogens in Fecal Samples in Vietnam

Vu Thuy Duong a,b, Voong Vinh Phat a, Ha Thanh Tuyen a, Tran Thi Ngoc Dung a, Pham Duc Trung a, Pham Van Minh a, Le Thi Phuong Tu a, James I Campbell a,c, Hoang Le Phuc b, Ton Thi Thanh Ha b, Nguyen Minh Ngoc d, Nguyen Thi Thanh Huong d, Pham Thi Thanh Tam a, Dang Thao Huong a, Nguyen Van Xang e, Nguyen Dong e, Le Thi Phuong f, Nguyen Van Hung g, Bui Duc Phu h, Tran My Phuc a, Guy E Thwaites a,c, Lu Lan Vi i, Maia A Rabaa a,c, Corinne N Thompson a,c,, Stephen Baker a,c,j
Editor: S S Richter
PMCID: PMC4809950  PMID: 26865681

Abstract

Diarrheal disease is a complex syndrome that remains a leading cause of global childhood morbidity and mortality. The diagnosis of enteric pathogens in a timely and precise manner is important for making treatment decisions and informing public health policy, but accurate diagnosis is a major challenge in industrializing countries. Multiplex molecular diagnostic techniques may represent a significant improvement over classical approaches. We evaluated the Luminex xTAG gastrointestinal pathogen panel (GPP) assay for the detection of common enteric bacterial and viral pathogens in Vietnam. Microbiological culture and real-time PCR were used as gold standards. The tests were performed on 479 stool samples collected from people admitted to the hospital for diarrheal disease throughout Vietnam. Sensitivity and specificity were calculated for the xTAG GPP for the seven principal diarrheal etiologies. The sensitivity and specificity for the xTAG GPP were >88% for Shigella spp., Campylobacter spp., rotavirus, norovirus genotype 1/2 (GI/GII), and adenovirus compared to those of microbiological culture and/or real-time PCR. However, the specificity was low (∼60%) for Salmonella species. Additionally, a number of important pathogens that are not identified in routine hospital procedures in this setting, such as Cryptosporidium spp. and Clostridium difficile, were detected with the GPP. The use of the Luminex xTAG GPP for the detection of enteric pathogens in settings, like Vietnam, would dramatically improve the diagnostic accuracy and capacity of hospital laboratories, allowing for timely and appropriate therapy decisions and a wider understanding of the epidemiology of pathogens associated with severe diarrheal disease in low-resource settings.

INTRODUCTION

Diarrheal disease remains a considerable public health challenge and is responsible for 0.8 million deaths and close to 90,000 disability-adjusted life years annually (1, 2), the majority of which occur in children <5 years of age in industrializing regions (3). Infectious diarrhea (caused by a pathogenic agent) can be caused by a number of different viruses, bacteria, and parasites. Rotavirus remains the most common cause of diarrhea in children <2 years of age (4, 5), although the introduction of rotavirus vaccines in many countries has led to a fall in incidence in locations where uptake has been significant (6, 7). Bacterial pathogens, such as Shigella spp., enterotoxigenic Escherichia coli (ETEC), Campylobacter spp., and Salmonella spp., norovirus, and the parasitic pathogens Giardia and Cryptosporidium spp. are also known to be present frequently in the stools of young children with diarrhea in resource-poor regions (4, 5, 8). As the etiology of diarrheal disease is diverse and complex, sensitive and specific diagnostics are required for prompt and accurate identification and treatment.

The detection of pathogens from stool specimens is challenging. In settings, such as Ho Chi Minh City (HCMC), Vietnam, hospital laboratories rarely perform routine microbiological culture, and if they do, they aim to isolate only a limited range of bacterial pathogens. Antimicrobial consumption in the community further reduces the sensitivity of microbiological culture for bacterial pathogens (9). Microscopy is used to detect occult white blood cells, red blood cells, and parasites, such as Entamoeba histolytica, Cryptosporidium spp., and Giardia lamblia; however, microscopic detection of parasites has poor sensitivity (10) and presents difficulties due to the requirement of a fresh specimen, the requirement for an experienced microscopist, and a lack of methodological standardization. In addition, real-time PCR systems are not used routinely in HCMC (or indeed across Vietnam) due to the cost, lack of equipment, and a paucity of trained staff. As such, a number of important pathogens, such as rotavirus, norovirus, pathovars of E. coli, and Clostridium difficile, are not routinely detected by procedures currently in place. The lack of appropriate diagnostics hinders not only clinical treatment decisions but also a wider understanding of the epidemiology and the public health implications of severe pediatric diarrheal disease in locations, like HCMC.

Given the limitations of traditional diagnostics, a multipanel pathogen identification system that is sensitive, specific, and easy to operate represents a significant improvement on classical techniques. The Luminex xTAG gastrointestinal pathogen panel assay (GPP) (Luminex Molecular Diagnostics, Austin, TX, USA) is a qualitative multiplex test cleared by the U.S. Food and Drug Administration (FDA) that is able to identify 19 enteric pathogens in one reaction in 6 h; however, the assay has a prohibitive cost in Vietnam of approximately $75 per sample (as of December 2015). The Luminex platform has been shown to be highly sensitive and specific for a variety of pathogens in several clinical settings globally (1113). In this study, we aimed to evaluate the sensitivity and specificity of the xTAG GPP platform against those of conventional diagnostic techniques on clinical samples isolated from patients hospitalized with diarrheal disease in Vietnam.

MATERIALS AND METHODS

Clinical specimens and study procedures.

Fecal specimens were collected from 479 patients hospitalized with diarrheal disease from three different studies across Vietnam during 2009 to 2014. The hospitals included in the study were Children's Hospital 1, Children's Hospital 2, and the Hospital of Tropical Diseases in HCMC. Provincial hospitals in Dong Thap, Dak Lak, Khanh Hoa, and Thua Thien Hue also participated as part of the Vietnam Initiative on Zoonotic Infections (VIZIONS) initiative (14). Patients were admitted at the discretion of the treating clinician and were excluded from each of the studies if they had suspected or confirmed intussusception, multiple complications unrelated to diarrheal disease, or suspected antimicrobial-induced diarrhea. Diarrhea was defined as three watery or loose stools within 24 h or one episode of bloody and/or mucoid diarrhea (15). After collection in a sterile container, fresh stool samples were stored at 4°C at the sites and transported to the central study microbiology laboratory within 24 h. The specimens were tested using microbiological culture and real-time PCR and then stored in 20% glycerol solution at −80°C.

This study consisted of three components. First, we selected 172 samples with known etiologies from microbiological culture for validation of the xTAG GPP system. Second, we chose an additional 307 specimens that were negative by conventional culture methods, microscopy, and real-time PCR to test with the xTAG GPP to detect pathogens that we may not have identified through conventional methodologies. Finally, we used all of the 479 stool tested samples to evaluate the sensitivity and specificity of the xTAG GPP for seven pathogens by using culture and real-time PCR as the gold standards.

Microbial culture and molecular detection of bacterial pathogens.

Stool specimens were cultured on blood agar, MacConkey agar, xylose-lysine-deoxycholate agar, selenite broth, and Campylobacter media (Oxoid, Basingstoke, United Kingdom) to isolate Shigella spp., Salmonella spp., and Campylobacter species. Apart from Campylobacter plates, which were incubated microaerophilically at 42°C, all media were incubated at 37°C overnight and then examined for growth, as previously described (16). Colonies with a morphology indicative of a named pathogen were subcultured onto nutrient agar for purity, and bacterial identity was confirmed by either API 20E (bioMérieux, France) or serotyping, where applicable. Specific serotypes of Shigella spp. and Salmonella spp. were identified by slide agglutination with antigen-grouping sera and monovalent antisera, and Campylobacter jejuni was differentiated from Campylobacter coli by the hippurate hydrolysis test.

All stool specimens were also screened for the presence of Shigella spp. (target, ipaH), Salmonella spp., and Campylobacter spp. (C. jejuni target, hipO; C. coli target, glyA) by real-time PCR using the following cycling conditions: 95°C for 15 min, 40 cycles of 95°C for 5 s, 60°C for 30 s, and 72°C for 30 s, as described previously (17, 18). Salmonella screening was performed using an in-house assay targeting the invA gene (forward primer, 5′-TCATCGCACCGTCAAARGA-3′; reverse primer, 5′-CGATTTGAARGCCGGTATTATT-3′; probe, 5′-FAM-ACGCTTCGCCGTTCRCGYGC-BHQ1-3′ FAM, 6-carboxyfluorescein; BHQ1, black hole quencher 1), under the following conditions: 95°C for 15 min, 45 cycles of 95°C for 5 s, and 60°C for 60 s (19).

Molecular detection of rotavirus, norovirus GI/GII, and adenovirus.

For rotavirus and norovirus molecular testing, total RNA was extracted from fresh stool samples, reverse transcribed into cDNA, and used as the template to detect viruses by real-time PCR, as previously described (20). Rotavirus detection was performed by targeting the nonstructural protein 3 (NSP3). The norovirus primers and probes targeted the open reading frame 1 (ORF1)-ORF2 junction of norovirus genotype 1/2 (GI/GII) (21). PCR amplifications for rotavirus and norovirus GI/GII were performed using RNA Master hydrolysis probes (Roche Applied Sciences, United Kingdom) and optimized with 1.4 μl of activator on a LightCycler 480II (Roche Applied Sciences). Five microliters of RNA was mixed with a concentration of 20 μM for each primer and 10 μM probe, and thermal cycling was initiated at 61°C for 5 min for reverse transcription, 5 min at 95°C for amplification, and then by 45 cycles at 95°C for 5 s and 60°C for 45 s. Adenovirus real-time PCR amplification was performed using primers AdV-F (TCTTACAAAGTGCGC TTTACGC) and AdV-R (TTAAAGCTGGGRCCACGATC) and probe AdV-probe (Cy5-GACAACCGGGTKTTGGACATGGCCAG-BHQ3). Adenovirus DNA was mixed with a concentration of 20 μM for each primer and 10 μM probe and LightCycler 480 probes master (Roche Applied Sciences) and subjected a PCR cycle of 95°C for 5 min, followed by 45 cycles of 95°C for 5 s and 60°C for 1 min.

The assay was validated with positive controls using a previously described procedure (18).

xTAG gastrointestinal pathogen panel testing.

The xTAG GPP assay is a multiplex assay that simultaneously detects Salmonella spp., Shigella spp., Campylobacter spp., C. difficile (toxins A and B), enterotoxigenic E. coli (ETEC) heat labile (LT) and heat stable (ST) enterotoxins, E. coli O157, Shiga toxin-producing E. coli (STEC) spp., Vibrio cholerae, Yersinia enterocolitica, fecal adenovirus 40/41, rotavirus A, norovirus GI/GII, Giardia spp., E. histolytica, and Cryptosporidium species. For nucleic acid extraction, 200 μl of each stool specimen was automatically extracted with 10 μl of xTAG MS2 (internal control) using the MagNA Pure-96 machine (Roche), according to the manufacturer's instructions. The xTAG GPP assay was performed according to the manufacturer's recommendations (Luminex Molecular Diagnostics, Austin, TX, USA).

Statistical analysis.

The Luminex data were read by the TDAS software and imported and analyzed in Stata version 11 (College Station, TX, USA). Plots were made in R version 3.1.1 (R Foundation for Statistical Computing, Vienna, Austria) using the ggplot2 package (22). Sensitivity and specificity were calculated separately using two gold standards: (i) microbiological culture and (ii) real-time PCR. As the specificity of the original Luminex cutoffs for Salmonella spp. was low (∼60%), we attempted to redefine the cutoffs to improve the sensitivity and specificity for the Salmonella assay. To evaluate the capacity of probes 1 and 2 in discriminating between positive and negative Salmonella infection, the area under the receiver operating characteristic (ROC) curve was computed for univariate logistic regression models (containing either probe 1 or 2 alone as a predictor) and a multivariate logistic regression model (containing both probes 1 and 2 as predictors). The optimal cut points for probe 1, probe 2, or for probes 1 and 2 combined were estimated using the Youden index method (in which the sum of sensitivity and specificity of the logistic models were maximized) (23).

Ethical approval.

Stool samples were collected from three studies, all of which were approved by the local ethical committees and Oxford Tropical Research Ethics Committee (OxTREC) (no. 0109, 15-12, and 1045-13). Written informed consent was required for all patients or from parents/legal guardians if the patient was a child prior to enrollment into all three studies.

RESULTS

Baseline results.

Overall, 479 stool samples were collected from 92 adults (>15 years) and 387 children (≤15 years old) admitted to the hospital with diarrheal disease in Vietnam between 2009 and 2014. The median age of the adult patients was 50 years (interquartile range [IQR], 33 to 64 years), and 39% (36/92 patients) were male. In children, the median age was 16.5 months (IQR, 6.7 to 20 months), with 57% (221/387 patients) being male. A total of 105 samples (22%) were positive for a bacterial pathogen by microbiological culture, 268 samples (56%) were positive for a pathogen by real-time PCR, and 404 samples (84%) were positive for a pathogen by the xTAG GPP. From the 479 tested samples, the most commonly identified pathogens through the xTAG GPP platform were Salmonella (n = 210 [44%]), rotavirus (n = 121 [25%]), norovirus GII (n = 89 [19%]), Shigella (n = 91 [19%]), and Cryptosporidium (n = 83 [17%]). Though less common, the xTAG GPP also detected C. difficile (n = 45 [9%]), ETEC (n = 40 [8%]), Giardia (n = 15 [3%]), norovirus GI (n = 15 [3%]), E. coli O157 (n = 11 [2%]), Shiga toxin-producing E. coli (STEC) (n = 8 [2%]), and E. histolytica (n = 4 [1%]).

Validation.

To initially validate the xTAG GPP, 40 stool samples positive for Shigella spp., 40 samples positive for Salmonella spp., and 30 samples positive for Campylobacter spp. by microbiological culture were retested using the xTAG GPP, as shown in Table 1. The proportion of positive agreement of xTAG GPP and microbiological culture was high, ranging from 90 to 100%. Furthermore, using stool samples, a previously detected viral pathogen by real-time PCR, the xTAG GPP, had similarly high agreement (90.5 to 93.0%) in 68 samples positive for rotavirus, 58 samples positive norovirus GI/GII, and 17 samples positive for adenovirus 40/41 infections.

TABLE 1.

Number of positive Luminex xTAG GPP results on samples known to be positive by microbiological culture and real-time PCR

Pathogen detected by method No. detected by culture/real-time PCR No. detected by GPP % positive agreement
Culture
    Shigella 40 40 100
    Salmonella 40 38 95.0
    Campylobacter 30 27 90.0
Real-time PCR
    Rotavirus 68 63 92.6
    Norovirus GI/GII 58 54 93.1
    Adenovirus 20 17 85.0
    Shigella 44 44 100
    Salmonella 48 45 93.8
    Campylobacter 40 36 90.0

Negative-specimen evaluation.

A total of 307 fecal samples that were negative by microbiological culture and real-time PCR were tested by xTAG GPP. Salmonella was the most frequently detected pathogen, present in 45% (138/307) of the initially negative specimens. Further, rotavirus and Shigella spp. were identified in 19% (57/307) and 16% (48/307) of the negative specimens, respectively. Additionally, several significant enteric pathogens that are not well studied (or even previously described in Vietnam) due to a lack of diagnostic capacity were also identified, including Cryptosporidium (15% [45/307 specimens]), C. difficile (12% [36/307 specimens]), and pathogenic E. coli (14% [42/307 specimens]), as shown in Fig. 1.

FIG 1.

FIG 1

Count of pathogens detected by the Luminex xTAG gastrointestinal pathogen panel in 307 specimens that tested negative by microbiological culture and real-time PCR.

Performance evaluation on clinical specimens.

Table 2 shows the performance of xTAG GPP in comparison to both a positive microbiological culture and a real-time PCR positive gold standard for seven enteric pathogens, including Shigella spp., Campylobacter spp., and Salmonella spp., and also rotavirus, norovirus GI/GII, and adenovirus. The xTAG GPP had high sensitivity for all pathogens, ranging from 88.2% to 100% using both culture and real-time PCR as gold standards. The specificity of xTAG GPP was also moderately high for most of the detected bacterial and viral pathogens, ranging from 88.4% to 99.3%, with the notable exception of Salmonella species. A total of 128 and 172 stool specimens were negative for Salmonella spp. by real-time PCR and culture, respectively, but were positive by the xTAG GPP assay, resulting in specificities of the xTAG GPP assay of 60.8% and 66.8% for Salmonella in comparison to real-time PCR and culture, respectively. However, when we attempted to redefine the cutoff values to improve the specificity, we found no adjusted cutoff rules that significantly improved the sum of the sensitivity and specificity for probes 1 and 2 combined compared to that of the originally defined cutoffs, according to the manufacturer's instructions.

TABLE 2.

Sensitivity and specificity of Luminex xTAG GPP in comparison to real-time PCR and microbiological culturea

Organism detected xTAG GPP compared to real-time PCR
xTAG GPP compared to culture
GPP result No. with real-time PCR result of:
Sensitivity (% [95% CI]) Specificity (% [95% CI]) GPP result No. with culture result of:
Sensitivity (% [95% CI]) Specificity (% [95% CI])
Pos Neg Pos Neg
Shigella Pos 86 6 95.6 (89.0–98.8) 98.5 (96.7–99.4) Pos 40 51 100 (91.2–100) 88.4 (85.0–91.2)
Neg 4 383 Neg 0 388
Salmonella Pos 84 128 90.3 (82.4–95.5) 66.8 (61.9–71.5) Pos 38 172 95.0 (83.1–99.4) 60.8 (56.1–65.4)
Neg 9 258 Neg 2 267
Campylobacter Pos 59 3 90.8 (81.0–96.5) 99.3 (97.9–99.8) Pos 27 35 90.0 (73.5–97.9) 92.2 (89.3–94.5)
Neg 6 411 Neg 3 414
Adenovirus Pos 23 5 92.0 (74.0–99.0) 98.9 (97.4–99.6)
Neg 2 449
Norovirus GI Pos 15 5 88.2 (63.6–98.5) 98.9 (97.5–99.6)
Neg 2 457
Norovirus GII Pos 85 4 96.6 (90.4–99.3) 99.0 (97.4–99.7)
Neg 3 387
Rotavirus Pos 117 4 92.9 (86.9–96.7) 98.9 (97.1–99.7)
Neg 9 349
a

GPP, gastrointestinal pathogen panel; Pos, positive; Neg, negative; 95% CI, confidence interval.

Coinfection.

Of all evaluated stool samples with a detected pathogen, 58% (233/404 samples) had more than one enteric pathogen identified by the xTAG GPP assay. The majority of coinfections had two pathogens detected, although the number of detected pathogens was as high as seven in one sample. As shown in Fig. 2, Cryptosporidium spp. and ETEC were the most common pathogens detected in stool samples, with other pathogens, including E. histolytica, Salmonella spp., rotavirus, and norovirus with Cryptosporidium spp. and STEC, C. difficile, and adenovirus with ETEC. Additionally, norovirus and rotavirus were commonly identified in the same sample. Notably, patients with Campylobacter infections tended to have negative correlations with most other pathogens, suggesting a higher prevalence of monoinfection.

FIG 2.

FIG 2

Correlation matrix of coinfections from 479 diarrheal stool samples. Common pathogens detected with the Luminex xTAG gastrointestinal pathogen panel are listed in a matrix format along the x and y axes. The color within each square represents the Spearman correlation coefficient for each pairwise coinfection. The darker the red, the more positive the correlation, and the darker the blue, the more negative the correlation. Note that the range of the color scale spans −0.5 to 0.5.

DISCUSSION

Diarrheal disease is the second most common cause of death in children <5 years of age globally (3). The need for rapid and reliable diagnostics is important for treatment decisions and is even more pressing given the alarming trends of antimicrobial resistance in many of the most common bacterial enteric pathogens (24), which may in part be due to the unregulated and excessive use of antimicrobials worldwide. In this study, we demonstrate that the multiplex molecular Luminex xTAG GPP detection system is both highly sensitive and specific compared to both microbiological culture and real-time PCR for the majority of the surveyed pathogens. Additionally, the xTAG GPP system allowed for identification of a number of important pathogens, including ETEC and Cryptosporidium spp., which are not detected through routine procedures in hospitals in Vietnam or across other parts of Southeast Asia.

The sensitivity and specificity of the xTAG GPP were >88% for all compared pathogens (three bacteria and four viruses) using both culture and real-time PCR; however, a notable exception was Salmonella. Our sensitivity and specificity findings are similar to, if somewhat lower than, those of other studies conducted in the North America, Europe, and China (1113, 25). The low specificity (∼60%) of Salmonella detection in our study has not commonly been reported in other studies, although Wessels et al. (26) found a higher rate of false-positive Salmonella detection in a small study from the Netherlands. This may be due to a high rate of asymptomatic carriage with Salmonella in Vietnamese children (8) or cross-reactivity with an alternative component of the gastrointestinal microbiota present in this population. The low specificity of the xTAG for detecting Salmonella likely led to an artificially inflated rate of overall coinfection in our samples (58% of positive samples) compared to that in work conducted elsewhere (13, 25, 27, 28). However, the rates of pairwise coinfections, such as C. difficile and Cryptosporidium spp., are similar to those found in a multicenter Italian study (29). An obvious issue raised by the high rate of coinfection and the use of the xTAG GPP in general is pathogenicity. Platts-Mills and colleagues (5) recently found that Cryptosporidium spp., STEC, and Shigella spp. were more commonly associated with severe diarrhea than other pathogens through a birth cohort that sampled healthy and diarrheal stools. In order to investigate relative pathogenicity in the future, use of the xTAG GPP platform in combination with a quantitative technique (30) may provide more insight into the relationship between the presence of a pathogen and clinical disease.

Through the use of the xTAG GPP platform, we were able to identify a far wider range of pathogens than those normally screened in hospitals and in research studies in Vietnam. Cryptosporidium for example, was the fifth most common pathogen detected in our sample set (17%), although almost nothing is known about the epidemiology of this parasite in Vietnam. Globally, Cryptosporidium is known to be common in young children with moderate-to-severe diarrhea and can commonly be identified at a very high rate (15 to 25%) in children with persistent diarrhea (4, 31). Because the intestinal damage due to infection with Cryptosporidium can result severe long-term sequelae (32), specific studies on this parasite and its epidemiology are warranted. Additionally, 9% of the patients in our cross-sectional sample had C. difficile detected in their stool. C. difficile is known to be much less common in children than adults, and asymptomatic infection with toxigenic strains is common (3335) and may represent a reservoir for infection (36), although additional investigation into the epidemiology and clinical significance of C. difficile infection in children in this setting is warranted. The xTAG GPP assay allows for the detection of such important pathogens and may aid not only in treatment decisions but also in the generation of hypotheses for further epidemiological and etiological studies.

While the benefits of the xTAG GPP system are numerous, a significant drawback for use in a country, such as Vietnam, is the cost. The price of a single xTAG GPP reaction is currently prohibitive for Vietnam, although recent work from the United Kingdom has demonstrated that routine use of the multiplex diagnostic led to massive savings at the hospital level due to rapid identification of noninfectious diarrheal disease and subsequent reduction of the need for single-patient rooms that far exceeded the cost of implementing the xTAG GPP itself (37). Whether or not such economic analyses are applicable to Vietnam is questionable, and future such analyses tailored to industrializing regions are recommended. An additional drawback is the lack of an organism for antimicrobial susceptibility testing. Given the rampant antimicrobial resistance found in pathogens, such as Shigella spp., in Vietnam (8), this is a significant limitation.

Our study has several limitations. First, the microbiological culture was performed at different laboratories across Vietnam and may have introduced variability into our results. Second, we were not able to identify some pathogens, such as V. cholerae or Yersinia, so we were unable to evaluate the performance of the xTAG GPP against these pathogens, which may be more relevant in other settings across the region. Notwithstanding these limitations, our results shed valuable insight into the accuracy of the xTAG GPP system and its utility in an industrializing setting.

In conclusion, the Luminex xTAG GPP diagnostic platform is highly sensitive and specific for common bacterial and viral enteric pathogens in Vietnam, with the notable exception of Salmonella species. Furthermore, the xTAG GPP platform allowed for detection of a number of important pathogens that are not routinely identified through current hospital laboratory procedures in Vietnam. While there are a number of benefits to the xTAG GPP platform, cost and lack of an organism for antimicrobial susceptibility testing may represent barriers to widespread use in low-income regions. However, the use of such a diagnostic in locations, like HCMC, Vietnam, would dramatically improve the ability of clinicians to appropriately treat gastrointestinal infections in a timely manner, provide evidence for a more prudent use of antimicrobials, and allow for an unprecedented level of epidemiological granularity to aid in prevention and control efforts for diarrheal disease.

ACKNOWLEDGMENTS

We thank all members of the enteric infections group at the Clinical Trial Unit and Data Management Centre (OUCRU) and the study teams at the Hospital for Tropical Diseases (infectious pediatric ward B), Children's Hospital 1 (gastrointestinal ward and research unit), Children's Hospital 2 (gastrointestinal ward, internal department 2, and training-research and international collaboration department), and the OUCRU. We also thank all collaborators at Khanh Hoa General Hospital, Dong Thap General Hospital, Dak Lak General Hospital, and Hue Central Hospital. Finally, we thank Ho Thi Nhan of the Biostatistics group at the OUCRU.

We declare no conflicts of interest.

A strategic award from Wellcome Trust of Great Britain funded this work (WT/093724). S.B. is a Sir Henry Dale Fellow, jointly funded by the Wellcome Trust and the Royal Society (grant 100087/Z/12/Z). The funders had no role in the study design, data collection and interpretation, or the decision to submit the work for publication.

Funding Statement

A strategic award from Wellcome Trust of Great Britain funded this work (grant WT/093724). S.B. is a Sir Henry Dale Fellow, jointly funded by the Wellcome Trust and the Royal Society (grant 100087/Z/12/Z). The funders had no role in the study design, data collection and interpretation, or the decision to submit the work for publication.

REFERENCES

  • 1.Liu L, Johnson HL, Cousens S, Perin J, Scott S, Lawn JE, Rudan I, Campbell H, Cibulskis R, Li M, Mathers C, Black RE, Child Health Epidemiology Reference Group of WHO and UNICEF. 2012. Global, regional, and national causes of child mortality: an updated systematic analysis for 2010 with time trends since 2000. Lancet 379:2151–2161. doi: 10.1016/S0140-6736(12)60560-1. [DOI] [PubMed] [Google Scholar]
  • 2.Murray CJL, Vos T, Lozano R, Naghavi M, Flaxman AD, Michaud C, Ezzati M, Shibuya K, Salomon JA, Abdalla S, Aboyans V, Abraham J, Ackerman I, Aggarwal R, Ahn SY, Ali MK, Alvarado M, Anderson HR, Anderson LM, Andrews KG, Atkinson C, Baddour LM, Bahalim AN, Barker-Collo S, Barrero LH, Bartels DH, Basáñez MG, Baxter A, Bell ML, Benjamin EJ, Bennett D, Bernabé E, Bhalla K, Bhandari B, Bikbov B, Bin Abdulhak A, Birbeck G, Black JA, Blencowe H, Blore JD, Blyth F, Bolliger I, Bonaventure A, Boufous S, Bourne R, Boussinesq M, Braithwaite T, Brayne C, Bridgett L, Brooker S, et al. . 2012. Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 380:2197–2223. doi: 10.1016/S0140-6736(12)61689-4. [DOI] [PubMed] [Google Scholar]
  • 3.Walker CLF, Rudan I, Liu L, Nair H, Theodoratou E, Bhutta ZA, O'Brien KL, Campbell H, Black RE. 2013. Global burden of childhood pneumonia and diarrhoea. Lancet 381:1405–1416. doi: 10.1016/S0140-6736(13)60222-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Kotloff KL, Nataro JP, Blackwelder WC, Nasrin D, Farag TH, Panchalingam S, Wu Y, Sow SO, Sur D, Breiman RF, Faruque ASGS, Zaidi AKM, Saha D, Alonso PL, Tamboura B, Sanogo D, Onwuchekwa U, Manna B, Ramamurthy T, Kanungo S, Ochieng JB, Omore R, Oundo JO, Hossain A, Das SK, Ahmed S, Qureshi S, Quadri F, Adegbola RA, Antonio M, Hossain MJ, Akinsola A, Mandomando I, Nhampossa T, Acácio S, Biswas K, O'Reilly CE, Mintz ED, Berkeley LY, Muhsen K, Sommerfelt H, Robins-Browne RM, Levine MM. 2013. Burden and aetiology of diarrhoeal disease in infants and young children in developing countries (the Global Enteric Multicenter Study, GEMS): a prospective, case-control study. Lancet 382:209–222. doi: 10.1016/S0140-6736(13)60844-2. [DOI] [PubMed] [Google Scholar]
  • 5.Platts-Mills JA, Babji S, Bodhidatta L, Gratz J, Haque R, Havt A, McCormick BJ, McGrath M, Olortegui MP, Samie A, Shakoor S, Mondal D, Lima IF, Hariraju D, Rayamajhi BB, Qureshi S, Kabir F, Yori PP, Mufamadi B, Amour C, Carreon JD, Richard SA, Lang D, Bessong P, Mduma E, Ahmed T, Lima AA, Mason CJ, Zaidi AK, Bhutta ZA, Kosek M, Guerrant RL, Gottlieb M, Miller M, Kang G, Houpt ER, MAL-ED Network Investigators. 2015. Pathogen-specific burdens of community diarrhoea in developing countries: a multisite birth cohort study (MAL-ED). Lancet Glob Heal 3:e564–e575. doi: 10.1016/S2214-109X(15)00151-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Tate JE, Patel MM, Cortese MM, Lopman BA, Gentsch JR, Fleming J, Steele AD, Parashar UD. 2012. Remaining issues and challenges for rotavirus vaccine in preventing global childhood diarrheal morbidity and mortality. Expert Rev Vaccines 11:211–220. doi: 10.1586/erv.11.184. [DOI] [PubMed] [Google Scholar]
  • 7.Patel MM, Steele D, Gentsch JR, Wecker J, Glass RI, Parashar UD. 2011. Real-world impact of rotavirus vaccination. Pediatr Infect Dis J 30(1 Suppl):S1–S5. doi: 10.1097/INF.0b013e3181fefa1f. [DOI] [PubMed] [Google Scholar]
  • 8.Thompson CN, Phan MV, Hoang NV, Minh PV, Vinh NT, Thuy CT, Nga TT, Rabaa MA, Duy PT, Dung TT, Phat VV, Nga TV, Tu le TP, Tuyen HT, Yoshihara K, Jenkins C, Duong VT, Phuc HL, Tuyet PT, Ngoc NM, Vinh H, Chinh NT, Thuong TC, Tuan HM, Hien TT, Campbell JI, Chau NV, Thwaites G, Baker S. 2015. A prospective multi-center observational study of children hospitalized with diarrhea in Ho Chi Minh City, Vietnam. Am J Trop Med Hyg 95:1045–1052. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Nga DTT, Chuc NTK, Hoa NPQ, Hoa NPQ, Nguyen NTT, Loan HT, Toan TK, Phuc HD, Horby P, Van Yen N, Van Kinh N, Wertheim HFL. 2014. Antibiotic sales in rural and urban pharmacies in northern Vietnam: an observational study. BMC Pharmacol Toxicol 15:6. doi: 10.1186/2050-6511-15-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Elsafi SH, Al-Maqati TN, Hussein MI, Adam AA, Hassan MMA, Al Zahrani EM. 2013. Comparison of microscopy, rapid immunoassay, and molecular techniques for the detection of Giardia lamblia and Cryptosporidium parvum. Parasitol Res 112:1641–1646. doi: 10.1007/s00436-013-3319-1. [DOI] [PubMed] [Google Scholar]
  • 11.Claas EC, Burnham CAD, Mazzulli T, Templeton K, Topin F. 2013. Performance of the xTAG gastrointestinal pathogen panel, a multiplex molecular assay for simultaneous detection of bacterial, viral, and parasitic causes of infectious gastroenteritis. J Microbiol Biotechnol 23:1041–1045. doi: 10.4014/jmb.1212.12042. [DOI] [PubMed] [Google Scholar]
  • 12.Navidad JF, Griswold DJ, Gradus MS, Bhattacharyya S. 2013. Evaluation of Luminex xTAG gastrointestinal pathogen analyte-specific reagents for high-throughput, simultaneous detection of bacteria, viruses, and parasites of clinical and public health importance. J Clin Microbiol 51:3018–3024. doi: 10.1128/JCM.00896-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Deng J, Luo X, Wang R, Jiang L, Ding X, Hao W, Peng Y, Jiang C, Yu N, Che X. 2015. A comparison of Luminex xTAG gastrointestinal pathogen panel (xTAG GPP) and routine tests for the detection of enteropathogens circulating in southern China. Diagn Microbiol Infect Dis 83:325–330. [DOI] [PubMed] [Google Scholar]
  • 14.Rabaa MA, Tue NT, Phuc TM, Carrique-Mas J, Saylors K, Cotten M, Bryant JE, Dang H, Nghia T, Cuong Van N, Pham HA, Berto A, Phat VV, Thi T, Dung N, Bao LH, Hoa NT, Wertheim H, Nadjm B, Monagin C, Doorn Van HR, Rahman M, Phan M, Tra V, Campbell JI, Boni MF, Thi P, Tam T, Hoek Van Der L, Simmonds P, Rambaut A, Toan TK, Chau NVV, Hien TT, Wolfe N, Farrar JJ, Thwaites G, Kellam P, Woolhouse MEJ, Baker S. 2015. The Vietnam Initiative on Zoonotic Infections (VIZIONS): a strategic approach to studying emerging zoonotic infectious diseases. Ecohealth 12:726–735. doi: 10.1007/s10393-015-1061-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.World Health Organization. 2005. Treatment of diarrhoea: a manual for physicians and other senior health workers. World Health Organization, Geneva, Switzerland: http://apps.who.int/iris/bitstream/10665/43209/1/9241593180.pdf. [Google Scholar]
  • 16.My PVT, Thompson C, Phuc Le H, Tuyet PTN, Vinh H, Hoang NVM, Minh Van P, Vinh NT, Thuy CT, Nga TTT, Hau NTT, Campbell J, Chinh NT, Thuong TC, Tuan HM, Farrar J, Baker S. 2013. Endemic norovirus infections in children, Ho Chi Minh City, Vietnam, 2009–2010. Emerg Infect Dis 19:29–32. doi: 10.3201/eid1901.120044. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Vu DT, Sethabutr O, Von Seidlein L, Tran VT, Do GC, Bui TC, Le HT, Lee H, Houng HS, Hale TL, Clemens JD, Mason C, Dang DT. 2004. Detection of Shigella by a PCR assay targeting the ipaH gene suggests increased prevalence of shigellosis in Nha Trang, Vietnam. J Clin Microbiol 42:2031–2035. doi: 10.1128/JCM.42.5.2031-2035.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.LaGier MJ, Joseph LA, Passaretti TV, Musser KA, Cirino NM. 2004. A real-time multiplexed PCR assay for rapid detection and differentiation of Campylobacter jejuni and Campylobacter coli. Mol Cell Probes 18:275–282. doi: 10.1016/j.mcp.2004.04.002. [DOI] [PubMed] [Google Scholar]
  • 19.Anders KL, Thompson CN, Thuy Van NT, Nguyet NM, Tu LTP, Dung TTN, Phat VV, Van NTH, Hieu NT, Tham NTH, Ha PTT, Lien LB, Chau NVV, Baker S, Simmons CP. 2015. The epidemiology and aetiology of diarrhoeal disease in infancy in southern Vietnam: a birth cohort study. Int J Infect Dis 35:3–10. doi: 10.1016/j.ijid.2015.03.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Dung TTN, Phat VV, Nga TVT, My PVT, Duy PT, Campbell JI, Thuy CT, Hoang NVM, Van Minh P, Le Phuc H, Tuyet PTN, Vinh H, Kien DTH, Huy HLA, Vinh NT, Nga TTT, Hau NTT, Chinh NT, Thuong TC, Tuan HM, Simmons C, Farrar JJ, Baker S. 2013. The validation and utility of a quantitative one-step multiplex RT real-time PCR targeting rotavirus A and norovirus. J Virol Methods 187:138–143. doi: 10.1016/j.jviromet.2012.09.021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Trujillo AA, McCaustland KA, Zheng D-P, Hadley LA, Vaughn G, Adams SM, Ando T, Glass RI, Monroe SS. 2006. Use of TaqMan real-time reverse transcription-PCR for rapid detection, quantification, and typing of norovirus. J Clin Microbiol 44:1405–1412. doi: 10.1128/JCM.44.4.1405-1412.2006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Wickham H. 2009. ggplot2: elegant graphics for data analysis. Springer, New York, NY. [Google Scholar]
  • 23.Youden WJ. 1950. Index for rating diagnostic tests. Cancer 3:32–35. doi:. [DOI] [PubMed] [Google Scholar]
  • 24.World Health Organization. 2014. Antimicrobial resistance: global report on surveillance. World Health Organization, Geneva, Switzerland: http://apps.who.int/iris/bitstream/10665/112642/1/9789241564748_eng.pdf?ua=1. [Google Scholar]
  • 25.Khare R, Espy MMJ, Cebelinksi E, Boxrud D, Sloan LM, Cunningham S, Pritt B, Patel R, Binnicker M. 2014. Comparative evaluation of two commercial multiplex panels for detection of gastrointestinal pathogens by use of clinical stool specimens. J Clin Microbiol 52:3667–3673. doi: 10.1128/JCM.01637-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Wessels E, Rusman LG, van Bussel MJAWM, Claas ECJ. 2014. Added value of multiplex Luminex gastrointestinal pathogen panel (xTAG GPP) testing in the diagnosis of infectious gastroenteritis. Clin Microbiol Infect 20:O182–O187. doi: 10.1111/1469-0691.12364. [DOI] [PubMed] [Google Scholar]
  • 27.Mengelle C, Mansuy JM, Prere MF, Grouteau E, Claudet I, Kamar N, Huynh A, Plat G, Benard M, Marty N, Valentin A, Berry A, Izopet J. 2013. Simultaneous detection of gastrointestinal pathogens with a multiplex Luminex-based molecular assay in stool samples from diarrhoeic patients. Clin Microbiol Infect 19:E458–E465. doi: 10.1111/1469-0691.12255. [DOI] [PubMed] [Google Scholar]
  • 28.Perry MD, Corden SA, Howe RA. 2014. Evaluation of the Luminex xTAG gastrointestinal pathogen panel and the Savyon diagnostics gastrointestinal infection panel for the detection of enteric pathogens in clinical samples. J Med Microbiol 63:1419–1426. doi: 10.1099/jmm.0.074773-0. [DOI] [PubMed] [Google Scholar]
  • 29.Vocale C, Rimoldi SG, Pagani C, Grande R, Pedna F, Arghittu M, Lunghi G, Maraschini A, Gismondo MR, Landini MP, Torresani E, Topin F, Sambri V. 2015. Comparative evaluation of the new xTAG GPP multiplex assay in the laboratory diagnosis of acute gastroenteritis. Clinical assessment and potential application from a multicentric Italian study. Int J Infect Dis 34:33–37. [DOI] [PubMed] [Google Scholar]
  • 30.Liu J, Kabir F, Manneh J, Lertsethtakarn P, Begum S, Gratz J, Becker SM, Operario DJ, Taniuchi M, Janaki L, Platts-Mills JA, Haverstick DM, Kabir M, Sobuz SU, Nakjarung K, Sakpaisal P, Silapong S, Bodhidatta L, Qureshi S, Kalam A, Saidi Q, Swai N, Mujaga B, Maro A, Kwambana B, Dione M, Antonio M, Kibiki G, Mason CJ, Haque R, Iqbal N, Zaidi AKM, Houpt ER. 2014. Development and assessment of molecular diagnostic tests for 15 enteropathogens causing childhood diarrhoea: a multicentre study. Lancet Infect Dis 14:716–724. doi: 10.1016/S1473-3099(14)70808-4. [DOI] [PubMed] [Google Scholar]
  • 31.Checkley W, White AC Jr, Jaganath D, Arrowood MJ, Chalmers RM, Chen X-M, Fayer R, Griffiths JK, Guerrant RL, Hedstrom L, Huston CD, Kotloff KL, Kang G, Mead JR, Miller M, Petri WA, Priest JW, Roos DS, Striepen B, Thompson RCA, Ward HD, Van Voorhis WA, Xiao L, Zhu G, Houpt ER. 2015. A review of the global burden, novel diagnostics, therapeutics, and vaccine targets for Cryptosporidium. Lancet Infect Dis 15:85–94. doi: 10.1016/S1473-3099(14)70772-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Guerrant DI, Moore SR, Lima A, Patrick PD, Schorling JB, Guerrant RL. 1999. Association of early childhood diarrhea and cryptosporidiosis with impaired physical fitness and cognitive function four-seven years later in a poor urban community in northeast Brazil. Am J Trop Med Hyg 61:707–713. [DOI] [PubMed] [Google Scholar]
  • 33.Bryant K, McDonald LC. 2009. Clostridium difficile infections in children. Pediatr Infect Dis J 28:145–146. doi: 10.1097/INF.0b013e318198c984. [DOI] [PubMed] [Google Scholar]
  • 34.Larson HE, Barclay FE, Honour P, Hill ID. 1982. Epidemiology of Clostridium difficile in infants. J Infect Dis 146:727–733. doi: 10.1093/infdis/146.6.727. [DOI] [PubMed] [Google Scholar]
  • 35.Al-Jumaili IJ, Shibley M, Lishman AH, Record CO. 1984. Incidence and origin of Clostridium difficile in neonates. J Clin Microbiol 19:77–78. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Hecker MT, Riggs MM, Hoyen CK, Lancioni C, Donskey CJ. 2008. Recurrent infection with epidemic Clostridium difficile in a peripartum woman whose infant was asymptomatically colonized with the same strain. Clin Infect Dis 46:956–957. doi: 10.1086/527568. [DOI] [PubMed] [Google Scholar]
  • 37.Goldenberg SD, Bacelar M, Brazier P, Bisnauthsing K, Edgeworth JD. 2014. A cost benefit analysis of the Luminex xTAG gastrointestinal pathogen panel for detection of infectious gastroenteritis in hospitalised patients. J Infect 44:504–511. [DOI] [PubMed] [Google Scholar]

Articles from Journal of Clinical Microbiology are provided here courtesy of American Society for Microbiology (ASM)

RESOURCES