Skip to main content
PLOS One logoLink to PLOS One
. 2018 Nov 26;13(11):e0207850. doi: 10.1371/journal.pone.0207850

Etiologic and clinical characterization of community acquired gastroenteritis in adult patients in a Chilean emergency room by the FilmArray GI panel

Carlos Valenzuela 1,2,#, Paulette Legarraga 3,#, Arturo Peña 4, Alex Arenas 1, Loni Berkowitz 1, Gigliola Ramírez 1, Aniela Wozniak 3, Patricia García 3,*, Manuel Álvarez-Lobos 1,*
Editor: Adriana Calderaro5
PMCID: PMC6258233  PMID: 30475924

Abstract

Infectious diarrhea can be caused by a large number of microorganisms including bacteria virus and parasites. The clinical syndromic approach has been traditionally used to guide therapy. The aim of this study was to characterize the etiology of acute diarrhea by the FilmArray GI panel and to correlate it with its clinical presentation in an adult population presenting to the emergency room in a developing country. Material and Methods: Adult patients attending the ER due to acute diarrhea were selected. All patients included had a FilmArray GI panel performed and the clinical characteristics were recorded. Results: One hundred and ninety-nine patients were included. One hundred and eighteen (59.3%) were females. The mean age was 43 years old. Thirty three percent of the patients presented dysentery, 36.7% fever, 54.8% referred nauseas and 35.7% vomiting. Sixty three percent of the patients presented some degree of dehydration. In total, 221 microorganisms were detected of which 71.5% corresponded to bacteria (158/221), 19.9% to virus (44/221) and 8.6% to parasites (19/221). In 133 (67.0%) of 199 patients at least one microorganism was identified. Infections with more than one microorganism were detected in 27.1% of the patients. Polimicrobial infections were associated with a higher frequency of nausea (50.0% vs 32.0%, p 0.046), abdominal pain (87.0% vs 44.0%, p<0.0001) and travel history (20.0% vs 5.0%, p 0.0102). Bacterial infections occurred without a seasonal distribution with the exception of Salmonella sp whereas viral infections predominated during the autumn–winter months. Diarreicogenic E. coli were present in the context of a co-infection in more than 80.0% of the cases. Discussion: The use of multiplex panels has given us invaluable information regarding the epidemiology of acute diarrhea in adult. It highlighted the importance of polimicrobial infections and the frequency of diarreicogenic E. coli infections. Nevertheless, the lack of severity compared to monomicrobial infections and the usual association with other microorganisms in the latter make their clinical importance debatable.

Introduction

Infectious diarrheal disease affects developing countries, causing serious morbidity and mortality [12]. The etiologic agents associated include viruses, bacteria and parasites [3]. Conventional methods are able to detect the etiologic agent in only 20.0% to 50.0% of the cases [49]. Recent studies have shown the added value of molecular multiplex detection of intestinal pathogens compared to conventional methods [1014]. Application of these molecular tests has helped to recognize, for example, the relative high percentage of cases of diarrhea associated with more than one pathogen (16.0 to 32.0%) and the high frequency of viruses. The later usually is not taken in account in the medical evaluation of patients with acute diarrhea who attend to an emergency unit [1014]. Although common opinion suggests that clinical presentation does not predict a specific etiologic agent [15,16], a usual clinical approach in developing nations is the syndromic diagnosis, consisting of distinguishing different types of stools (acute watery, persistent, and bloody diarrhea) in order to guide management [17]. With the aim to characterize the etiology of acute diarrhea and to correlate it with its clinical presentation a study was carried out in an adult population attending an emergency department by the BioFire FilmArray Gastrointestinal(GI) Panel (BioMérieux, Marcy- L´Étoile, France).

Materials and methods

Patients

A prospective study was carried out from January 2015 until March 2016 in the Clinical Hospital of the Pontificia Universidad Católica de Chile which is a private teaching hospital of 400 beds, located in a central area of the capital. It provides care for patients benefitting from the public and private health system. Attendance to the emergency department (ER) does not need the referral from an external center or general practitioner. Patients attending the ER or hospitalized due to acute diarrhea defined as passage of ≥ 3 unformed stools in 24 h associated to enteric symptoms, with a duration of symptoms of less than14 days, were eligible [17,18]. Inclusion criteria were: age ≥18 years, duration of the episode: ≥ 24 hours and less than 14 days and indication of a microbiological assessment based on the IDSA and/or ACG Guidelines [17, 18]. At the moment of enrollment in the ER the attendant physician filled a questionnaire with the relevant information requested: age, sex of the patient, use of antibiotics or other drugs, comorbidities, history of travel, days of symptoms, presence of nausea and vomiting, frequency of stool passages, presence of blood and if signs of dehydration were found at the physical exam. Any missing information was then completed through medical chart review or directly with the patient either by phone call or direct interview if possible. All the patients participating in the study had a stool sample processed by the FilmArray GI panel.

FilmArray GI Panel

The stool samples were maintained at 4° to 8°C in a liquid Cary-Blair media (Remel) until processing (≤ 48 hours after sample retrieval) at the microbiology laboratory. The samples were analyzed using the FilmArray GI Panel following the manufacturer´s instructions. The FilmArray panel is an automated real time PCR platform capable of detecting 22 target pathogens in a single reaction including bacteria, virus and parasites. The pathogens included are: Enterotoxigenic E. coli (ETEC), Enteropathogenic E. coli (EPEC), Enteroaggregative E. coli (EAEC) and Shiga-like toxin producing E. coli (STEC) with specific identification of E. coli O157, Enteroinvasive E.coli/Shigella (EIEC), Campylobacter (jejuni/coli/upsaliensis), Vibrio (parahaemolyticus/ vulnificus/ cholerae) with special identification of V.cholerae, Yersinia enterocolitica, Plesiomonas shigelloides, Clostridium difficile (Toxin A/B), Salmonella, Cryptosporidium, Cyclospora cayetanensis, Entamoeba histolytica, Giardia lamblia, Adenovirus F40/41, Astrovirus, Norovirus GI/GII, Rotavirus A and Sapovirus (genogroups I,II,IV and V). In brief, 200 μL of the stool sample are added into the pouch along with hydrating solution. The pouch is then introduced into the FilmArray instrument. All steps (extraction, amplification and detection) are performed in the pouch without the need of further manipulation. Results are obtained after approximately one hour.

A description of the pathogens observed and their frequency was made as well as a statistical analysis between the clinical characteristics observed considering the results: positive vs negative, mono vs polimicrobial infection, the etiology of the episode (bacterial vs viral or parasitic) and immune status of the patient. Finally an analysis was performed regarding the clinical findings with specific microorganisms. For the clinical-etiological correlation, patients presenting results positive only for bacteria, virus or parasite were considered whereas mono and polimicrobial infections were considered for the other aspects analyzed. For the analysis we defined immunosuppression as the presence of HIV infection, hematological malignancy, solid organ transplant, immunosuppressive therapy and/or chronic renal failure.

Statistical analysis

GraphPad Prism software (6.0) was used for the statistical analysis. Continual variables were analyzed using the Student´s T test, the comparison of 2 or more variables were analyzed by ANOVA whereas chi-square test or Fisher's exact test were used in the case of categorical variables.

Ethics committee approval

This study was approved by the ethics committee of the medical school of the Pontificia Universidad Católica de Chile, number 14–418 and all patients included gave their written, informed consent.

Results

Patient’s characteristics: A total of 207 patients were enrolled, of which 199 were included for analysis. Eight patients were excluded due to the presence of chronic diarrhea. One hundred and eighteen (59.3%) were females and 81 (40.7%) corresponded to male patients. The mean age was 43 years old with a median of 40 years (18–100) and 116 patients (58.3%) presented at least one comorbidity (hypertension 21.0%, diabetes 7.5% and hypothyroidism 6.5%). The average bowel movements frequency was 8.2 episodes per day, with 5.8 days of symptoms before seeking medical attention. Sixty-six patients (33.1%) presented dysentery, 73 (36.7%) fever, 109 (54.8%) referred nauseas and 71 (35.7%) vomiting. Eighty-four patients (42.2%) presented signs of mild, 39 (19.6%) moderate and 4 (2.0%) severe dehydration and 92 patients (46.2%) required hospitalization.

Etiological agents detected by the FilmArray GI panel

Of the 199 samples analyzed corresponding to 199 patients, at least one microorganism was identified in 133 (67.0%) patients. One microorganism was detected in 39.7% of the samples (79/199), two microorganisms in 16.6% (33/199), 3 microorganisms in 7.0% (14/199) with 4 or more microorganisms detected in 3.5% (7/199) of the samples. In total, 221 microorganisms were detected of which 71.5% corresponded to bacteria (158/221), 19.9% to virus (44/221) and 8.6% to parasites (19/221). The pathogen´s distribution in order of frequency was: EPEC 34 (15.4%), Campylobacter spp. 28 (12.7%), EAEC 26 (11.8%), Norovirus GI/GII 18 (8.1%), ETEC 17 (7.7%), Salmonella spp. 14 (6.3%), Clostridium difficile toxin A/B 13 (5.9%), Cryptosporidium 12 (5.4%), Shigella/EIEC 9 (4.0%), STEC 9(4.0%), Sapovirus (I,II,IV and V) 9 (4.0%), Rotavirus A 9(4.0%), Giardia lamblia in 7 (3.1%), Astrovirus 6 (2.7%), E. Coli O157 3 (1.4%), Plesiomonas shigelloides 3 (1.4%), Adenovirus F40/41 2(0.9%), Vibrio no cholerae 1 (0.5%) and Yersinia enterocolitica 1 (0.5%). The FilmArray did not identify any positive sample for Entamoeba histolytica, Cyclospora cayetanensis or Vibrio cholerae (Fig 1). When we analyzed the microorganisms found in co-infections, diarreicogenic E. coli were present in the context of a co-infection in more than 80.0% of the cases, whereas Campylobacter spp., C. difficile and Cryptosporidium were observed in less than 40.0% (Fig 1).

Fig 1. Distribution of microorganisms in order of frequency and percentage found in the context of a co-infection.

Fig 1

EPEC: enteropathogenic E. coli, EAEC: enteroaggregative E. coli: ETEC: enterotoxigenic E. coli EIEC: enteroinvasive E. coli, STEC: shiga-toxin E. coli.

Clinical-etiological characteristic and correlation

In total 74 patients had positive results only for bacteria (37.2%), 22 only for virus (11.0%) and 11 for parasites (5.5%). Patients with positive results were younger (40 vs 47 years, p = 0.024), sought medical attention earlier (4.9 vs 7.3 days, p = 0.0005), had more bowel movements per day (8.6 vs 6.7, p = 0.017), higher percentage of fever (44.3% vs 21.3%, p = 0.0017) and less comorbidities (69.6 vs 51.8%, p = 0.021) (Table 1). Polimicrobial infections were associated with a higher frequency of nausea (50.0% vs 32.0%, p = 0.046), abdominal pain (87.0% vs 44.0%, p<0.0001) and travel history (20.0% vs 5.0%, p = 0.0102) than those with only one pathogen detected (Table 1).

Table 1. Comparison of clinical characteristics between patients with positives vs negative results and mono vs polimicrobial infections.

Clinical characteristics Positive Negative P value Mono-microbial Poli-microbial P value
N = 133 N = 66 N = 79 N = 54
Feminine gender (%) 56 67 NS 58 52 NS
Median age (years) 40 47 0.024 42 39 NS
N° days of diarrhea at ER 4.9 7.3 0.0005 5.3 4.6 NS
Bowel movements per day 8.6 6.7 0.017 8.4 8.9 NS
Dysentery (%) 31.0 38.0 NS 18.0 30.0 NS
Fever (%) 44.0 21.0 0.0017 28.0 41.0 NS
Vomiting (%) 39.0 29.0 NS 26.0 35.0 NS
Nauseas (%) 56.0 52.0 NS 32.0 50.0 0.046
Abdominal pain (%) 88.0 82.0 NS 44.0 87.0 <0.0001
Dehydration (%) 64.0 64.0 NS 63.0 65.0 NS
                Mild (%) 41.0 44.0 NS 44.0 37.0 NS
                Moderate (%) 20.0 20.0 NS 16.0 24.0 NS
                Severe (%) 3.0 0.0 NS 3.0 4.0 NS
Hospitalization (%) 44.0 51.0 NS 47.0 39.0 NS
Comorbidity (%) 52.0 70.0 0.021 59.0 40.0 0.036
Travel History (%) 11.0 7.0 NS 5.0 20.0 0.0102

As shown in Table 2, patients with bacterial infections had a higher frequency of dysentery (41.0% vs 18.0%, p<0.0001) and abdominal pain (95.0%, p = 0.027) compared to parasitic and viral infections respectively. Fever, hospitalization requirement and travel history were also more frequently associated with bacterial infection but it did not reach statistical significance. On the other hand, patients with viral infections presented a higher frequency of nausea (77.0%, p = 0.048) and vomiting (59.0%, p = 0.044). Higher number of bowel movements per day associated with more dehydration was also observed in viral infections but it did not reach statistical significance. No dysentery was observed in viral infections (Table 2).

Table 2. Clinical characteristics according to etiology.

Clinical characteristics General Bacteria Virus Parasites P value
N 199 N 74 N 22 N 11
Feminine gender (%) 59 57 64 36 NS
Age mean (years) 43 (18–100) 42 42 35 NS
N° days with diarrhea 5.8 (SD 4.4) 5 4.7 6 NS
N° bowel movements per day 8.2 (SD 5.4) 7.7 9.4 6.5 NS
Dysentery (%) 33.1 41.0 0.0 18.0 <0.0001
Fever (%) 36.7 54.0 36.0 27.0 NS
Vomiting (%) 35.8 32.0 59.0 36.0 0.044
Nausea (%) 54.8 51.0 77.0 45.0 0.048
Abdominal pain (%) 86.0 95.0 77.0 91.0 0.027
Dehydration (%) 64.0 66.0 73.0 45.0 NS
                Mild (%) 42.2 42.0 59.0 18.0 NS
                Moderate (%) 19.6 20.0 14.0 27.0 NS
                Severe (%) 2.0 4.0 0.0 0.0 NS
Hospitalization requirement (%) 46.2 51.0 32.0 36.0 NS
Comorbidity (%) 58.3 53.0 55.0 45.0 NS
Travel history (%) 10.0 15.0 9.0 0.0 NS

Finally, those patients with immunosuppression were found to have a higher frequency of positive results with parasites (23.0% vs 8.0%, p = 0.04) compared to immunocompetent patients, and showed a higher percentage of hospitalization (68.0% vs 44.0%, p = 0.04) (Table 3).

Table 3. Clinical characteristics according to immune status.

Clinical characteristics Immunocompetent
N, (%)
Immunosupressed
N, (%)
P value
Total patients 177 22
Positive results 116 (66.1%) 17 (77.2%) NS
                Bacteria 88 (49.7%) 11 (50.0%) NS
                Virus 37 (20.9%) 5(22.7%) NS
                Parasites 14 (7.9%) 5(22.7%) 0,04
                1 microorganism 68 (38.0%) 11(50.0%) NS
                ≥2 microorganisms 48 (27.0%) 6(27.2%) NS
Median age (years) 43 45 NS
Comorbidity 93 (52.5%) 22(100%) <0.0001
Dehydration 115(64.9%) 11(500%) NS
                Mild 77(43.5%) 6(27.2%) NS
                Moderate-severe 39 (22%) 5(22.7%) NS
Dysentery 58 (32.7%) 7(31.8%) NS
Fever 65 (36.7%) 8(36.3%) NS
Hospitalization 77 (43.5%) 15(68.2%) 0,04
Travel History 17 (9.6%) 2(9.0%) NS

Immunosuppressed: HIV (+), hematological malignancy, solid organ transplant, immunosuppressive therapy, chronic renal terminal disease

NS: Not significant.

We analyzed the clinical characteristics per microorganism considering only those patients with monomicrobial infections. Infections by Shigella/EIEC, Salmonella spp., and Campylobacter spp. were associated with a higher percentage of dysentery (67.0%, 50.0%, and 43.0% respectively), fever (56.0, 75.0 and 86.0%) and abdominal pain (100% in all cases) compared to the total. Patients with C. difficile infection were found to require more hospitalization (69.0%) and were more frequently females (85.0%). Patients with viral infections did not have dysentery and in the case of Norovirus and Astrovirus infections no patients required hospitalization. All patients with Sapovirus infection referred abdominal pain and Rotavirus was associated with a higher frequency of stool passages per day, dehydration and hospitalization requirements.

Bacterial infections occurred without a seasonal distribution with the exception of Salmonella spp. which showed a clear predominance during the summer months. In the case of viral infections, predominance was observed during the autumn–winter months compared to the spring- summer season (41.0% vs 21.0%). We did not observe differences in the case of parasites with the exception of Giardia lamblia that was detected more frequently during the spring-summer months. Statistical analysis was not performed for each pathogen due to the low number of cases.

Discussion

To our knowledge this is the first study to characterize the etiological and clinical presentation of acute diarrhea in adults by a multiplex PCR in our country. The FilmArray is an FDA approved panel for the rapid detection of 22 pathogens in 1 hour. It is rapid and easy to manipulate eliminating the need of a specialized laboratory. Moreover, published data show excellent sensitivity and specificity in the detection of the pathogens included, increasing the number of positive results compared to the traditional laboratory methods (i.e. stool culture, microscopy, EIA) [1920]. In our study, 66.8% of the samples were positive for at least one pathogen. This number is higher compared to what is expected from a standard stool culture [20, 21]. A study published by Stockmann et al. [22] compared the yield of the traditional microbiologic study compared to multiplex PCR observing 46.0% of positivity for the traditional methods compared to 65.0% with the multiplex PCR. This is explained by a better sensitivity of the PCR and to the extended number of pathogens included [23]. Many of these pathogens are either not included in the traditional study or not originally requested by the attending physician. The sensitivity of the culture of Salmonella spp., Shigella spp. and Campylobacter spp. when compared to PCR confirmed samples ranges from 66.6 to 76.9% [24]. The FilmArray panel has a comprehensive menu of pathogens that can be detected. In our institution, only Salmonella spp. and Shigella sp. are routinely detected in the stool culture with the exception of E.coli O157 in patients younger than 10 years of age. Special cultures are available upon request for Campylobacter spp. and Yersinia sp. We observed positive results for 19 of the 22 target pathogens included, with the exception of Entamoeba histolytica, Cyclospora cayetanesis and Vibrio cholerae, microorganisms not endemic in our country. As such, a traditional stool study would have missed more than 75% of the microorganisms observed. Bacteria predominated over viruses and parasites. The most frequently detected microorganisms were diarrheagenic E. coli (especially enteropathogenic E. coli) followed by Campylobacter spp, Salmonella spp, Clostridium difficile and Shigella/EIEC. In the case of viruses, Norovirus was the most frequently observed microorganism, followed by Sapovirus whereas Cryptosporidium was the most frequently found parasite. This pathogen has been traditionally associated with infection in immunocompromised and pediatric patients and its prevalence varies according to the population studied. In our study, only 3 of the 11 patients with Cryptosporidium presented immunosuppression. Multicenter studies using multiplex PCR in low risk population showed frequencies from 2.0 to 3.0% [11, 25]. Thus, the importance of Crysptosporidium as a pathogen of acute diarrhea in immunocompetent adults could be underestimated due in part, to a lower sensitivity of the traditional methods [2325].

Finally, 40.6% of the patient with positive result (27.1% of the total) showed more than one pathogen. The importance of polimicrobial infections has been reported previously. Published data estimates a frequency of 31.5% in the United States of America and 30.0% in Europe [11,25]. Recently published data showed 48.1% of co-infections in a private center in Chile, similar to our findings [26]. In most of the co-infections bacteria were involved, with only 2 patients with two viruses detected and no cases with more than one parasite. It is important to emphasize that the most frequently involved microorganisms in polimicrobial infections were diarreicogenic E. coli. Furthermore, 80.0% the E. coli´s were found in the context of a co-infection. In our study, patients with more than one pathogen did not differ in severity compared to those with monomicrobial infection with the exception of increased abdominal pain and nausea. Interestingly, the application of a multiplex PCR to cases and control subjects showed no statistical differences in the frequency EPEC and EHEC detection [20]. Thus E. coli pathogenic´s role could be debatable and more studies are needed. In the same way, the clinical relevance of polimicrobial infections requires further analysis.

The use of multiplex panels has given us invaluable information regarding the epidemiology of acute diarrhea in adult patients visiting an emergency room in a developing country. It has reinforced the importance of bacterial infections as well the role of parasites. As such, the strategies applied in our laboratory have been evaluated, considering for example, the search for Campylobacter in the routine stool culture. It is important to note that patients included in this study had moderate to severe diarrhea as such, this information can only be applied to this population and cannot be necessarily extrapolated to mild cases where a microbiology study is not routinely recommended. A rapid and sensitive result could allow the rapid instauration of an appropriate treatment. Nevertheless, its impact on clinical decision, cost-effectiveness especially in resource limited countries and the real pathogenic role of some the pathogens needs to be further investigated.

Data Availability

All relevant data are within the paper.

Funding Statement

The FilmArray pouches were provided by BioMérieux, Chile. BioMérieux had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1.Liu L, Johnson HL, Cousens S, Perin J, Scott S, Lawn JE, et al. Child Health Epidemiology Reference Group of WHO and UNICEF. Global, regional, and national causes of child mortality: an updated systematic analysis for 2010 with time trends since 2000. Lancet. 2012; 379: 2151–2161. 10.1016/S0140-6736(12)60560-1 [DOI] [PubMed] [Google Scholar]
  • 2.Guerrant RL, Kosek M, Lima AAM, Lorntz B, Guyatt HL. Updating the DALYs for diarrhoeal disease. Trends Parasitol. 2002; 18:191–193. [DOI] [PubMed] [Google Scholar]
  • 3.Thielman NM, Guerrant RL. Acute infectious diarrhea. N Engl J Med. 2004; 350:38–47. 10.1056/NEJMcp031534 [DOI] [PubMed] [Google Scholar]
  • 4.Scallan E, Griffin PM, Angulo FJ, Tauxe RV, Hoekstra RM. Foodborne illness acquired in the United States–unspecified agents. Emerg Infect Dis. 2011; 17:16–22. 10.3201/eid1701.091101p2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Kotloff KL, Wasserman SS, Steciak JY, Tall BD, Losonsky GA, Nair P, et al. Acute diarrhea in Baltimore children attending an outpatient clinic. Pediatr Infect Dis J. 1988;7: 753–9. [DOI] [PubMed] [Google Scholar]
  • 6.De Wit MA, Koopmans MP, Kortbeek LM, Van Leeuwen NJ, Vinjé J, Van Duynhoven YT. Etiology of gastroenteritis in sentinel general practices in the Netherlands. Clin Infect Dis. 2001; 33:280–8. 10.1086/321875 [DOI] [PubMed] [Google Scholar]
  • 7.De Wit MA, Kortbeek LM, Koopmans MP, de Jager CJ, Wannet WJ, Bartelds AI, et al. A comparison of gastroenteritis in a general practicebased study and a community-based study. Epidemiol Infect. 2001; 127: 389–97. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Huhulescu S, Kiss R, Brettlecker M, Cerny RJ, Hess C, Wewalka G, et al. Etiology of acute gastroenteritis in three sentinels general practices, Austria 2007. Infection. 2009; 37:103–8. 10.1007/s15010-008-8106-z [DOI] [PubMed] [Google Scholar]
  • 9.Wikswo ME, Hall AJ, Centers for Disease Control and Prevention. Outbreaks of acute gastroenteritis transmitted by person-to-person contact—United States, 2009–2010. MMWR Surveill Summ. 2012; 61: 1–12. [PubMed] [Google Scholar]
  • 10.Amar CF, East CL, Gray J, Iturriza-Gomara M, Maclure EA, McLauchlin J. Detection by PCR of eight groups of enteric pathogens in 4,627 faecal samples: Re-examination of the English case–control Infectious Intestinal Disease Study (1993–1996). Eur J Clin Microbiol Infect Dis. 2007; 26:311–23. 10.1007/s10096-007-0290-8 [DOI] [PubMed] [Google Scholar]
  • 11.Buss SN, Leber A, Chapin K, Fey PD, Bankowski MJ, Jones MK, et al. Multicenter evaluation of the BioFire FilmArray™ Gastrointestinal Panel for the etiologic diagnosis of infectious gastroenteritis. J Clin Microbiol. 2015; 53:915–25. 10.1128/JCM.02674-14 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Khare R, Espy MJ, Cebelinski E, Boxrud D, Sloan LM, Cunningham SA, et al. Comparative evaluation of two commercial multiplex panels for detection of gastrointestinal pathogens by use of clinical stool specimens. J Clin Microbiol. 2014; 52:3667–73. 10.1128/JCM.01637-14 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Spina A, Kerr KG, Cormican M, Barbut F, Eigentler A, Zerva L, et al. Spectrum of enteropathogens detected by the FilmArray GI Panel in a multicentre study of community-acquired gastroenteritis. Clin Microbiol Infect. 2015; 21(8):719–28. 10.1016/j.cmi.2015.04.007 [DOI] [PubMed] [Google Scholar]
  • 14.Payne DC, Vinje J, Szilagyi PG, Edwards KM, Staat MA, Weinberg GA, et al. Norovirus and medically attended gastroenteritis in US children. N Engl J Med. 2013; 368:1121–30. 10.1056/NEJMsa1206589 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Jones TF. How useful are stool studies for acute gastroenteritis? J Infect Dis. 2012; 205: 1334–1335. 10.1093/infdis/jis215 [DOI] [PubMed] [Google Scholar]
  • 16.Thielman NM, Guerrant RL. Acute infectious diarrhea. N Engl J Med. 2004; 350:38–47. 10.1056/NEJMcp031534 [DOI] [PubMed] [Google Scholar]
  • 17.Guerrant RI, Van Gilder TV, Steiner ST, Thielman NM, Slutsker L, Tauxe RV, et al. Practice Guidelines for the Management of Infectious Diarrhea. CID. 2001; 32:331–50. [DOI] [PubMed] [Google Scholar]
  • 18.Riddle MS, Herbert L, DuPont HL, Connor BA. ACG Clinical Guideline: Diagnosis, Treatment, and Prevention of Acute Diarrheal Infections in Adults. Am J Gastroenterol. 2016; 111: 602–622. 10.1038/ajg.2016.126 [DOI] [PubMed] [Google Scholar]
  • 19.McAuliffe GN, Anderson TP, Stevens M, Adams J, Coleman R, Mahagamasekera P, et al. Systematic application of multiplex PCR enhances the detection of bacteria, parasites, and viruses in stool samples. J Infect. 2013; 67(2):122–9. 10.1016/j.jinf.2013.04.009 [DOI] [PubMed] [Google Scholar]
  • 20.Bruijnesteijn van Coppenraet LE, Dullaert-de Boer M, Ruijs GJ, Van der Reijden WA, Van der Zanden AG, Weel JF et al. Case-control comparison of bacterial and protozoan microorganisms associated with gastroenteritis: application of molecular detection. Clin Microbiol Infect. 2015; 21 (6):592. [DOI] [PubMed] [Google Scholar]
  • 21.Comité de microbiología clínica, SOCHINF. Síndrome diarreico agudo: Recomendaciones para el diagnóstico microbiológico. Rev. chil. infectol. 2002; 19(2) [Google Scholar]
  • 22.Stockmann C, Rogatcheva M, Harrel B, Vaughn M, Crisp R, Poritz M, et al. How well does physician selection of microbiologic tests identify Clostridium difficile and other pathogens in paediatric diarrhoea? Insights using multiplex PCR-based detection. Clin Microbiol Infect. 2015; 21(2):179. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Spina A, Kerr KG, Cormican M, Barbut F, Eigentler A, Zerva L et al. Spectrum of enteropathogens detected by the FilmArray GI Panel in a multicentre study of community-acquired gastroenteritis. Clin Microbiol Infect. 2015; 21(8):719–28. 10.1016/j.cmi.2015.04.007 [DOI] [PubMed] [Google Scholar]
  • 24.Buchan BW, Olson WJ, Pezewski M, Marcon MJ, Novicki T, Uphoff T et al. Clinical Evaluation of a Real-time PCR Assay for the Identification of Salmonella, Shigella, Campylobacter (C. jejuni and C. coli), and Shiga Toxin Producing E. coli in Stool Specimens. J Clin Microbiol. 2013; 51(12):4001–7. 10.1128/JCM.02056-13 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Svraka-Latifovic S, Bouter S, Naus H, Bakker L.J., Timmerman C.P., Dorigo-Zetsma J.W. Impact of transition from microscopy to molecular screening for detection of intestinal protozoa in Dutch patients. Clin Microbiol Infec. 2014; 20: O969–O971 [DOI] [PubMed] [Google Scholar]
  • 26.Farfán M, Piemonte P, Labra Y, Henríquez J, Candía E, Torres JP. Filmarray GI TM panel for detection of enteric pathogens in stool samples: preliminary experience. Rev Chilena Infectol. 2016; 33(1):89–91. 10.4067/S0716-10182016000100016 [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

All relevant data are within the paper.


Articles from PLoS ONE are provided here courtesy of PLOS

RESOURCES