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Original Articles

Mapping of aetiologies of gastroenteritis: a systematic review and meta-analysis of pathogens identified using a multiplex screening array

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Pages 1405-1410 | Received 10 Aug 2020, Accepted 13 Oct 2020, Published online: 04 Nov 2020
 

Abstract

Objective

Emergence of molecular methods to screen stools could provide a more complete picture of pathogens causing gastroenteritis, allowing to adequately treat patients whenever required but, so far, no aggregate data have been released. Our objective was to report pathogens identified in patients suffering from gastroenteritis using a multiplex molecular array.

Design

Medline and Embase were searched for original publications reporting pathogens identified with FilmArray GI panel in patients suffering from gastroenteritis. Proportions of pathogens were extracted and pooled using a model with random effects.

Results

Fourteen studies (17,815 patients) were included in the analysis. Among the 7,071 patients (39.7%) with positive FilmArray, identified pathogens were EPEC (27.5%), Clostridium difficile (19.3%), Norovirus (15.1%), EAEC (15%), Campylobacter spp (11.8%), Salmonella spp (8.1%), ETEC (7.3%), Rotavirus (7.3%), Sapovirus (7.1%), STEC (5.2%), Shigella/EIEC (4.9%), Giardia lamblia (4%), Adenovirus (3.8%), Cryptosporidium spp (3.8%), Astrovirus (2.8%), Yersinia enterocolitica (1.7%), Escherichia coli O157 (1.1%), Plesiomonas shigelloides (1.1%), Cyclospora cayetanensis (0.7%), Vibrio spp (0.5%), Vibrio cholerae (0.3%) and Entamoeba histolytica (0.3%). When considering only studies with control group (microbiological examination of the stools performed by other methods), FilmArray identified at least one pathogen in 48.2% of patients versus 16.7% when using comparative diagnostic methods.

Conclusions

FilmArray GI panel was positive in 39.7% of patients suffering from gastroenteritis. This proportion has to be mitigated by the carriage rates of identified organisms. Ultimately, restricted ordering of molecular panels to those patients who might benefit from specific treatment could provide medical value by swift identification of the pathogen and more targeted therapy.

Disclosure statement

JS received restricted research grants and participated to advisory boards from bioMérieux and Debiopharm. All other authors have no conflict of interest to declare.

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