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. 2022 Jan 22;45(8):593–604. doi: 10.1016/j.gastrohep.2021.12.009

High prevalence of SARS-CoV-2 detection and prolonged viral shedding in stools: A systematic review and cohort study

Elevada detección de SARS-CoV-2 y prolongada excreción viral en deposiciones: Estudio de cohorte y revisión sistemática

Luis Antonio Díaz a,1, Tamara García-Salum b,1, Eduardo Fuentes-López c,1, Diego Reyes d, Javier Ortiz d, Javier Chahuan a, Jorge Levican b, Leonardo I Almonacid b, Gonzalo H Valenzuela b, Eileen Serrano b, Sigall Budnik e, Vicente Gandara e, Andrea Gallardo e, María Francisca Seydewitz e, Marcela Ferrés b, Colomba Cofré f, Manuel Álvarez a, Carolina Pavez a, Roberto Candia a, Hugo Monrroy a, Alberto Espino a, Gabriel Rada d,g,h, Luis Ortiz g, Sebastián Valderrama d, Erick Salinas b, Adriana Toro i, Marcos Ortega j,k, Margarita Pizarro a, Rafael A Medina b,2,⁎, Arnoldo Riquelme a,c,2,⁎
PMCID: PMC8783395  PMID: 35077722

Abstract

Objectives

To: 1. Describe the frequency of viral RNA detection in stools in a cohort of patients infected with SARS-CoV-2, and 2. Perform a systematic review to assess the clearance time in stools of SARS-CoV-2.

Methods

We conducted a prospective cohort study in two centers between March and May 2020. We included SARS-CoV-2 infected patients of any age and severity. We collected seriated nasopharyngeal swabs and stool samples to detect SARS-CoV-2. After, we performed a systematic review of the prevalence and clearance of SARS-CoV-2 in stools (PROSPERO-ID: CRD42020192490). We estimated prevalence using a random-effects model. We assessed clearance time by using Kaplan–Meier curves.

Results

We included 32 patients; mean age was 43.7 ± 17.7 years, 43.8% were female, and 40.6% reported gastrointestinal symptoms. Twenty-five percent (8/32) of patients had detectable viral RNA in stools. The median clearance time in stools of the cohort was 11[10–15] days. Systematic review included 30 studies (1392 patients) with stool samples. Six studies were performed in children and 55% were male. The pooled prevalence of viral detection in stools was 34.6% (twenty-four studies, 1393 patients; 95%CI:25.4–45.1); heterogeneity was high (I2:91.2%, Q:208.6; p ≤ 0.001). A meta-regression demonstrates an association between female-gender and lower presence in stools (p = 0.004). The median clearance time in stools was 22 days (nineteen studies, 140 patients; 95%CI:19–25). After 34 days, 19.9% (95%CI:11.3–29.7) of patients have a persistent detection in stools.

Conclusions

Detection of SARS-CoV-2 in stools is a frequent finding. The clearance of SARS-CoV-2 in stools is prolonged and it takes longer than nasopharyngeal secretions.

Keywords: Diarrhea, 2019-nCoV-2, Coronavirus, COVID-19, SARS-CoV-2, Novel coronavirus

Introduction

The current pandemic of a novel Severe Acute Respiratory Syndrome coronavirus, named SARS-CoV-2, has constituted a new threat worldwide.1 More than 13,165,000 cumulative cases have been confirmed in 188 countries across five continents, reaching a mortality rate of 4.9%.2

The novel coronavirus was first described in patients with pneumonia, and the most common symptoms included fever, dry cough, and dyspnea.3 Gastrointestinal symptoms are less common and include diarrhea, nausea, vomiting, and abdominal discomfort. The prevalence of these symptoms varies significantly among different studied populations, which can be mild at the early onset, but is frequently followed by typical respiratory manifestations.4 A recent systematic review showed that 17.6% of individuals infected with SARS-CoV-2 presented with gastrointestinal symptoms; the most frequent being anorexia 26.8%, diarrhea 12.5%, nausea and vomiting 10.2%, and abdominal pain 9.2%.5 The presence of gastrointestinal symptoms is frequent in hospitalized patients, and these became more pronounced as the severity of the disease increased.6, 7

Several reports have shown the detection of SARS-CoV-2 RNA in stools for prolonged periods, suggesting that the virus could be transmitted through the digestive tract.8 The viral detection in stools is variable among several studies, with frequencies ranging between 15.3% and 70.3%.5, 8, 9, 10 Interestingly, recent publications have described enterocyte viral invasion and detection of viable virus in stools, suggesting that the fecal-oral route could provide a source of transmission.4, 10

To date, the relevance of viral presence in stools and length of shedding has not been established adequately. In this study, we aimed to assess the viral presence and clearance of SARS-CoV-2 in stools of infected Chilean patients. We also performed a systematic review to establish the frequency of SARS-CoV-2 detection in stools, and median clearance time in nasopharyngeal secretions and stools.

Material and methods

Cohort study: baseline characteristics and sample collection

Patient clinical–epidemiological data and clinical samples were collected after informed written consent was obtained. This study was reviewed and approved by the Scientific Ethics Committee of Pontificia Universidad Católica de Chile (PUC) (ID 16-066).

All patients diagnosed with COVID19 were eligible to participate upon consent, including hospitalized individuals and outpatients, of any age and severity. The study protocol did not have any exclusion criteria. Between March 5 and May 28, 2020, patients diagnosed as positive for SARS-CoV-2 were recruited at two centers, which are part of the Healthcare Network of the Faculty of Medicine, Pontificia Universidad Católica de Chile: The Red de Salud UC-Christus Hospital (Santiago, Chile) and the Clínica UC San Carlos de Apoquindo (Santiago, Chile). The diagnosis of SARS-CoV-2 form a nasopharyngeal swab (NPS) specimen was confirmed by a qRT-PCR Light Mix Modular Wuhan CoV-2 RdRP-gene (TibMolBiol, ROCHE), performed at the Institutional Infectious Diseases and Molecular Virology Laboratory (Santiago, Chile).

For clinical information, we performed an interview and a survey to characterize the presence and timing of symptoms. We recorded the physical examination and primary laboratory data obtained during medical evaluation. All the patients were characterized by sociodemographic data and comorbidities. We collected NPS and stool or rectal swabs between days 2 to 35 after the onset of symptoms and tested for the presence of SARS-CoV-2 by qRT-PCR. All the information was registered in an anonymous database where sensitive information was excluded. The stages of this process, collecting, transporting and processing samples are illustrated in Fig. 1 . Additional data of RNA extraction and viral genome detection are described in Supplementary Methods.

Figure 1.

Figure 1

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Stages of collection, transporting, and processing of samples from SARS-CoV-2 infected patients. NSP: nasopharyngeal swabs and aspirates.

Data analysis of the cohort study

We assessed the normality assumption by means of the Shapiro–Wilk test. Descriptive statistics were obtained using the mean and standard deviation (SD) for continuous variables with normal distribution and non-normal distributions were described with the median and interquartile range. In the case of categorical variables, the proportions and percentage were estimated.

Systematic review of the Viral RNA presence in stools

We performed a systematic review to establish the prevalence of viral detection in stools and median clearance time among previous published data and our cohort. This systematic review with meta-analysis was registered on PROSPERO (CRD42020192490) and followed a prespecified analysis plan. This study is reported in accordance with the Preferred Reporting Items for a Review and Meta-analysis (PRISMA) guidelines.11

Eligibility criteria

Eligible studies had to include patients diagnosed with COVID-19, regardless of age and gender. The diagnosis of COVID-19 had to be based on a compatible clinical history and molecular evidence with a qRT-PCR for SARS-CoV-2. We included studies reporting the frequency of positive viral RNA testing in stool. We considered stool samples at any time of the course of the disease.

We included studies that reported the main outcome, regardless of the design (case-reports, case-series, descriptive cases, case-control studies, cross-sectional studies, cohort studies and randomized controlled trials). We excluded studies performed in vitro, animal models, or lacking evidence of SARS-CoV-2 infection from this systematic review.

Search strategy and selection process

We conducted an electronic search from December 1, 2019, to June 3, 2020 in MEDLINE (via PubMed) database. We used included terms related to SARS-CoV-2 and stools in the search strategy. References of studies searched were also included. We hand searched (up to June 3, 2020) preprint servers (bioRxiv, medRxiv, and SSRN) and coronavirus resource centers of The Lancet, JAMA, and New England Journal of Medicine. We did not limit our search by language. Two investigators (LAD and DR) independently screened the titles and abstracts to ascertain whether each study met the eligibility criteria. The full texts of the identified eligible articles were then evaluated to determine whether they should be included in the analysis. Disagreements between the two reviewers were resolved by consensus. In case of persistent disagreement, arbitration by a third reviewer (JO) settled the discrepancy.

Data collection and risk of bias assessment

Two authors (LAD and DR) independently extracted data from the studies included using forms specially designed for this purpose. The following data describing the design of the study were extracted: number of participants, age, gender, ethnicity, hospitalization, presence of viral RNA in stools, clearance time and presence of gastrointestinal symptoms. Discrepancies were resolved by a third reviewer (JO). Two investigators (LAD and DR) independently assessed the risk of bias of each included study with the Appraisal tool for Cross-Sectional Studies (AXIS) checklist for cross-sectional studies, the Institute of Health Economics (IHE) checklist tool for Case Series, and the Newcastle-Ottawa Scale (NOS) for case-control studies and cohort studies, and the Cochrane Risk of Bias Tool for randomized trials and quasi-experimental studies.

Outcomes

The main outcome was the prevalence of detection of viral RNA in stools of COVID-19 patients. This data was registered as an absolute number and percentage of the total cases. The secondary outcome was the clearance time (defined as the days between onset of symptoms and a negative test result for viral RNA in stools).

Systematic review analysis

We estimated prevalence or event rates in the form of a proportion (with confidence interval 95%). Proportions were pooled using random-effects models. Only those studies with a sample size of at least 10 patients were included in the meta-analysis to decrease bias caused by sampling error.12 We used Q statistic and I 2 to quantify heterogeneity. We planned a subgroup analysis according to age, gender, ethnicity, presence of gastrointestinal symptoms and hospitalization. We stratified age in three subgroups: pediatrics (patients with less than 18 years old), adults (patients over 18 years old), and general (patients of all ages). Ethnicity was defined per region of origin (Asian versus not-Asian studies). We stratified gender by predominant gender (the gender with a prevalence higher than 50%). Presence of gastrointestinal symptoms was arbitrarily grouped in high (50% or more) and low (lesser than 50%) prevalence of gastrointestinal symptoms. In the case of studies with very low or very high proportion, we used a double arcsine transformation.13 Small study effect was evaluated with a funnel plot. Random effects meta-regression was used to examine whether baseline characteristics covariates explained heterogeneity of proportions between studies.14 As such, subgroup analysis should be considered as exploratory. Clearance of viral RNA in stools was defined as the time between onset of symptoms and the last detection of SARS-CoV-2 in stools. We registered the disaggregated data from studies that reported clearance in NPS and stools for each participant. Based on this data, we performed Kaplan–Meier survival curves to estimate viral clearance in NPS and stools. We compared clearance in NPS and stools curves with log-rank test. The analyses were done with the use of STATA (version 16, StataCorp, College Station, Texas) and R software for statistical computing version 3.6.1.15 We included the STATA metaprop command to perform meta-analyses.16

Grading of evidence

The quality of evidence for the outcomes was graded with the GRADE framework.

Role of the funding source

The funding source only provided support for the analysis of the nasopharyngeal and stool samples. The researchers did not receive a fee or other incentives for the systematic review process.

Results

Gastrointestinal symptoms and stool detection in our cohort study

We included 32 patients recruited between the 3rd March 2020 and 28th May 2020. Median age was 43.7 ± 17.7 years and 14 (43.8%) were females. Nineteen (59.4%) patients were hospitalized and 6 (31.6%) required invasive mechanical ventilation. One of our patients died at the end of this study (mortality rate of 3.1%).

In our cohort, the most common extraintestinal manifestations were fever (90.6%), cough (81.3%), myalgia (50%), headache (50%), dyspnea (40.6%), anosmia (37.5%), chills (34.4%), ageusia (28.1%), asthenia (25%) and odynophagia (18.8%). In addition, thirteen patients (40.6%) referred to gastrointestinal symptoms, including: diarrhea (37.5%), nausea (12.5%), abdominal pain (6.3%), vomiting (3.1%), and constipation (3.1%). The median NPS and stool samples obtained were 3 [2–4] and 2 [1–3], respectively. After diagnosis, Viral RNA was detected in respiratory secretions of 28 patients (87.5%), and in stools of 8 (25%) patients. Three patients (37.5%) with viral detection in stools presented with gastrointestinal symptoms: three of them declared to have diarrhea. Six out of 19 individuals that were hospitalized had at least one gastrointestinal symptom during infection. Participant characteristics and gastrointestinal symptoms are summarized in Table 1 . Positive stool samples were detected at different time points (days 4–18)(Supplementary material). The median clearance time in stools was 11 [10–15] days.

Table 1.

Baseline characteristics of our cohort according to outpatient or hospitalized care.

Global (%) (N = 32) Outpatient care (%) (N = 13) Hospitalized patients (%) (N = 19) P value
Age (mean) 43.7 ± 17.7 38.0 ± 13.6 47.7 ± 19.4 0.131



Gender
 Male 18 (56.2) 5 (38.5) 13 (68.4) 0.093
 Female 14 (43.8) 8 (61.5) 6 (31.6)



Gastrointestinal symptoms
 Diarrhea 12 (37.5) 6 (46.2) 6 (31.6) 0.403
 Constipation 1 (3.1) 0 (0) 1 (5.3) 0.401
 Nausea 4 (12.5) 2 (15.4) 2 (10.5) 0.683
 Vomiting 1 (3.1) 1 (7.7) 0 (0) 0.219
 Abdominal pain 2 (6.3) 0 (0) 2 (10.5) 0.227



SARS-CoV-2 detection in stools 8 (25) 4 (30.8) 4 (21.1) 0.533
Mechanical ventilation – – 6 (31.6) –
Deaths 1 (3.1) 0 (0) 1 (5.3) 0.401
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Systematic review of SARS-CoV-2 detection in stools

We identified 1683 records and 671 were duplicated. After a screening process against title and abstract, we obtained 59 full-text articles that were assessed for eligibility. We finally selected 30 studies for our systematic review from 6 countries (China, France, Germany, Hong Kong, Singapore, and the United States). We included 23 articles in the meta-analysis of prevalence of SARS-CoV-2 detection in stools and 18 articles were used to estimate clearance in stools. We also included data of the current study in both analyses. The selection process is described in Fig. 2 . All studies were observational in design; no randomized trials were identified. Among the 30 studies, 14 were case series and 16 cohort studies. The study with the largest number of stool samples included a total of 273 cases.17 The risk of bias assessment results is presented in supplementary material.

Figure 2.

Figure 2

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Study selection for the systematic review.

The pooled studies included a total of 1392 patients that were tested by SARS-CoV-2 qRT-PCR in stools. Fifty-five percent were male and 6 studies were performed exclusively in children. Twenty-two out of 30 (73.3%) studies included only hospitalized patients. The grade of evidence was considered very low and low, since all the information emerged from case series and cohort studies, respectively. We performed subgroup analyses per age, gender, ethnicity, presence of gastrointestinal symptoms, and hospitalization. Table 2 summarizes the main baseline characteristics summary of each study.

Table 2.

Main characteristics of studies included in the analysis.

First author Country Date Population Gender (female) (%) Exclusively hospitalized patients Number of patients with stool samples Follow-up of clearance in stools
Chen C29 China March 2020 General 8 (36.36) Yes 19 Yes
Chen Y27 China April 2020 Adult 27 (64.29) Yes 42 Yes
Chen W49 China February 2020 Adult Not reported Yes 28 Yes
Cheung KS5 Hong Kong April 2020 Adult 32 (54.24) No 59 No
Dreher M50 Germany April 2020 Adult 17 (34) Yes 15 No
Han C51 China April 2020 Adult 115 (55.8) Yes 22 No
Huang JT17 China June 2020 Adult 157 (51) Yes 273 No
Jiang X52 China April 2020 General 2 (66.7) No 3 No
Jiehao C53 China February 2020 Pediatrics 6 (60) Yes 6 Yes
Kujawski S54 USA March 2020 Adult 4 (33.3) No 10 Yes
Li H55 China February 2020 Adult 18 (62.1) No 29 Yes
Lescure FX56 France March 2020 Adult 2 (40) Yes 5 No
Pan Y57 China February 2020 Not reported Not reported No 17 No
Wang W10 China February 2020 General 66 (32) No 153 No
Wei XS58 China March 2020 Adult 56 (66.6) Yes 84 No
Wolf GK59 Germany February 2020 Pediatrics 2 (66) Yes 3 Yes
Wu Y33 China March 2020 Adult 35 (47.3) Yes 74 Yes
Xiao F 139 China January 2020 Not reported Not reported No 28 No
Xiao F 260 China February 2020 General 32 (43.8) Yes 73 No
Xing YH61 China March 2020 Pediatrics 1 (33.3) Yes 3 Yes
Xiong XL62 China May 2020 Pediatrics 94 (38.52) No 105 No
Xu Y63 China April 2020 Pediatrics 4 (40) Yes 10 Yes
Yang Z64 China February 2020 Adult 1 (33.3) Yes 3 Yes
Young BE65 Singapore March 2020 Adult 9 (50) Yes 8 Yes
Zautner AE66 Germany April 2020 Adult 6 (35.3) Yes 12 No
Zhang J67 China February 2020 Adult 7 (50) Yes 14 No
Zeng L68 China March 2020 Pediatrics (Newborns) 14 (42.4) Yes 33 Yes
Zhang W 132 China February 2020 Not reported Not reported Yes 39 No
Zhang W 232 China February 2020 Not reported Not reported Yes 139 No
Zheng S69 China February 2020 Adult 38 (39.6) Yes 83 No
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Detection of viral RNA in stools

We identified 1393 patients from 23 studies and our current study, which tested the presence of viral RNA in stools (including our cohort). The pooled prevalence of viral detection in stools was 34.6% (twenty-four studies, 1393 patients; 95%CI: 25.4–45.1); the heterogeneity among studies was high (I 2: 91.2%, Q: 208.6; p  ≤ 0.001) (Fig. 3 ). The funnel plot of this analysis is provided in supplementary material (Fig. 1S). Subgroup analysis by gender showed a prevalence of 30% in female-predominant studies (six studies, 509 patients; 95%CI: 15.0–51.0) and 42% in male-predominant studies (seven studies, 208 patients; 95%CI: 29.0–57.0). However, there was no significant differences between subgroups (p  = 0.30), and heterogeneity was high [(I 2: 92.8%, Q: 66.9; p  ≤ 0.001) and (I 2: 73.7%, Q: 19.2; p  ≤ 0.001), respectively]. Subgroup analysis by age, ethnicity, presence of gastrointestinal symptoms and hospitalization did not identify relevant differences to global pooled prevalence (Supplementary material). The heterogeneity was high in those four subgroups analysis. We performed a meta-regression of 8 studies including age, gender, and presence of gastrointestinal symptoms. The I 2 was 60.6% and the R 2 was 63.1%, with a p-value = 0.038 of the model. For each increase of 1% of female in the sample, proportion of SARS-CoV-2 detection in stools decreased a 0.5% (p  = 0.004). The age and presence of gastrointestinal symptoms were not associated to increase in the proportion of SARS-CoV-2 detection in stools (p  = 0.816 and p  = 0.103, respectively).

Figure 3.

Figure 3

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Forest plots of prevalence of viral detection in stools from SARS-CoV-2 infected patients.

Clearance time of viral RNA in stools

We included patients with viral detection in stool samples from 18 studies and our current study to assess viral clearance in stools. From a total of 442 patients, 423 were tested in stools and only 140 had an adequate prospectively follow-up. We also included 197 patients with nasopharyngeal samples follow-up. The percentage of viral absence in stools at the end of follow up was 72.6% (95%CI: 64.39–79.51). The median clearance time of viral RNA detection in NPS and stools was 13 days (95%CI: 12–14) and 22 days (95%CI: 19–25), respectively (Fig. 4 ). At day 10, only 10.8% (95%CI: 6.7–17.3) of patients presented virus clearance in stools. Interestingly, after 34 days, the 19.9% (95%CI: 11.3–29.7) of patients still had a persistent detection of viral RNA in stools.

Figure 4.

Figure 4

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Survival curves to estimate clearance of SARS-CoV-2 in Nasopharyngeal swabs (NPS) and stools. We disaggregated information for each patient to obtain individualized data. Clearance was estimated considering the time between onset of symptoms and the last viral detection in NPS or stools. Survival estimates were performed using Kaplan–Meier curves and we compared both curves with log-rank test.

Discussion

In this study, we analyzed general clinical data from 32 SARS-CoV-2 infected patients. In the first stage, we found that 40.6% of the studied population presented with gastrointestinal symptoms: 37.5% reported diarrhea, 12.5% nausea, 6.3% abdominal pain, 3.1% vomiting, and 3.1% constipation. A significant percentage of our cohort required hospitalization 59.4%, reaching a mortality of 3.1%. We determined that 25% of patients had detectable stool viral RNA during illnesses. Posteriorly, we conducted a systematic review from 30 studies and the data obtained from our cohort phase. The systematic review of the evidence found that the proportion of viral RNA detection in stools is 34.6%, with a median clearance time in stools of 22 days (95%CI 19–25).

In our cohort, diarrhea and nausea were the most prevalent symptoms, highlighting and confirming the diverse clinical manifestation induced by this novel coronavirus.5, 18, 19, 20, 21 The pooled prevalence of SARS-CoV-2 detection in stools was 34.6%, which reflects gastrointestinal shedding in a considerable number of patients. On the other hand, there is an important number of patients without SARS-CoV-2 detection in stools. The differences among detection in stools could potentially be explained by time since onset of symptoms and collection of stool samples, inadequate transport/storage conditions, differences in sample processing, or characteristics inherent to the virus or patients.

The SARS and SARS-CoV-2 strains share approximately 78% identity at the amino acid level.22 It has been proposed that SARS could enter into cells using the Angiotensin-converting Enzyme 2 (ACE2) as a receptor, which is widely distributed on the respiratory and gastrointestinal tract, could potentially allow the entry of the virus in the intestinal tract.23 Hence, given their similarity in tropism, SARS-CoV-2 could also enter cells by similar mechanism.24, 25 Moreover, since ACE2 modulates intestinal inflammation, it is plausible that SARS-CoV-2 infection could disrupt the ACE2 function, promoting fecal-oral transmission.26

Remarkably, the Kaplan–Meier clearance curves showed a median clearance time in NPS of 13 days (95%CI: 12–14), which was significantly lower than clearance in stools (p  < 0.001). In fact, viral RNA detection in stools could occur for at least another nine (for 22 days or more) in the half proportion of individuals tested (Fig. 4). These findings suggest a longer shedding period in the gastrointestinal tract, which is in agreement with reports from cohort studies in Hong Kong, Macau, Beijing and Germany,27, 28, 29, 30 and a case study in Italy.31

The identification of prolonged SARS-CoV-2 RNA shedding in rectal swabs was reported as early as mid-February 2020 by Zhang et al.32 Therefore, the potential of viral transmission through the oral-fecal route has been cautioned since then, and recent additional evidence supports this idea. First, it was reported that viral RNA can be detected in fecal samples of infected individuals for up to 11.2 days after respiratory samples became negative and up to 47 days after symptom onset33; secondly, virus RNA was found at high concentrations in stool, and occasionally viral sub genomic messenger RNA (only present in replicating cells) can also be detected in these specimens; third, endoscopic studies of SARS-CoV-2 infected individuals revealed esophageal bleeding, erosions and ulcers in one patient and viral RNA was detected in different gastrointestinal tissues of 3 individuals.34 Fourth, several studies demonstrated the presence of viral RNA in untreated wastewater from the Netherlands, Italy, Australia, and Chile.35, 36, 37, 38 Interestingly, two studies demonstrated that viral isolation from feces was possible.10, 39 Additionally, two recent studies reported the infection and replication of SARS-CoV-2 on intestinal organoids.40, 41 Altogether, our current study and previous reports provide evidence strongly suggesting that SARS-CoV-2 can infect and possibly replicate in the gastrointestinal tract, supporting the oral-fecal route of SARS-CoV-2 as a potential source for transmission. This highlights the need to exercise increased caution when handling and disposing of stool samples, and when conducting endoscopic procedures in SARS-CoV-2 infected individuals.

SARS-CoV-2 detection could also be helpful in monitoring and tracking SARS-CoV-2 circulation, especially during massive outbreaks with limited testing capacity. Interestingly, a recent study from Spain demonstrated that SARS-CoV-2 detection in wastewater could anticipate COVID-19 occurrence in a low prevalence area.42 On the other hand, in a study carried out in Santiago, Chile (a high populated city), the SARS-CoV-2 detection on wastewater also demonstrated a prediction of outbreak in some neighborhoods.38 Therefore, the epidemiological information from SARS-CoV-2 testing in untreated wastewater could significantly impact the surveillance of the viral circulation of SARS-CoV-2 and its variants in the future.43

The limitations of the cohort study were the limited number of patients followed-up and the difficult in obtaining daily stool samples. In addition, there is not a gold standard of SARS-CoV-2 infection and SARS-CoV-2 qRT-PCR has sensitivity near to 70% in NPS.44 This sensitivity could be even lower according to a recent study, reaching 47.3% in real life and underestimating detection of SARS-CoV-2 in organs, fluids, and stools.45 Also, we identified a high heterogeneity among the studies to estimate proportion of SARS-CoV-2 RNA detection in stools. We performed several analyses to elucidate the cause of this heterogeneity including a meta-regression. We identified that gender can importantly contribute to this high heterogeneity. This interesting observation could be explained by the higher expression of ACE2 and a less robust T cell-mediated immunity in male patients.46, 47 However, this heterogeneity could also be explained by important differences and quality among prior published studies. Future research questions include the establishment of additional data to support the fecal-oral transmission and the assessment of the long-term impact of SARS-CoV-2 infection in the gastrointestinal tract. Finally, although anal swabs to detect SARS-CoV-2 have been performed as a screening tool in countries such as Indonesia, the sensitivity of this technique is low (36.7%).48 Therefore, we require more sensitive anal-swabs-based tests to recommend SARS-CoV-2 detection in anal swabs as a screening tool.

In conclusion, this cohort study and systematic review demonstrated that detection of SARS-CoV-2 in stools is a frequent finding. The clearance of SARS-CoV-2 in stools is significantly prolonged as compared to clearance in nasopharyngeal secretions. The heterogeneity in the systematic reviews were high and could be partially explained by gender and methodological deficiencies of several included studies. Further data is required to support the plausibility of fecal-oral infective route.

Authors’ contributors

AR and RAM are responsible for the overall content of the project and the manuscript submitted as guarantors of the project. AR, RAM, LAD, TGS, DR, and JO had full access to all the data in the study. LAD and TGS take responsibility for the integrity of the data and the accuracy of the data analysis. AR, RAM, LAD, and TGS take the final decision to submit for publication. Study concept and design: AR, RAM, MF, MA, CC, LAD, RC, GR, LO. Acquisition of data: LAD, TGS, EFL, GHV, EiS, ErS, AT, SV, MO, JC, DR, JO, SB, VG, AG, MFS. Experiments and qRT-PCR analysis: RAM, MF, TGS, JL, LIA, EiS. Analysis or interpretation of data: RAM, AR, LAD, TGS, EFL, JC, LIA, EiS, RC, CP, HM, AE, DR, JO, GR. Drafting of the manuscript: LAD, TGS, EFL, RAM, AR, JC, MP. Critical revision of the manuscript for relevant intellectual content: LAD, TGS, DR, JO, EFL, JC, JL, LIA, EiS, SB, VG, AG, MFS, MF, CC, MA, CP, AE, RC, HM, GR, LO, SV, ErS, AT, MO, PG, MP, RAM, AR. Statistical analysis: EFL, RC, LAD, TGS.

Financial support

Protocols and the study set-up used for this study were based on influenza virus studies established in part with the support of the FONDECYT 1161971 grant from the Agencia Nacional de Investigación y Desarrollo (ANID) from Chile, the FLUOMICS Consortium (NIAID grant U19AI135972) funded by NIH and with funding from CRIP (Center for Research on Influenza Pathogenesis), an NIH funded Center of Excellence for Influenza Research and Surveillance (CEIRS, contract number HHSN272201400008C) to RAM.

Conflict of interest

The authors reported no potential conflict of interest.

Acknowledgement

Valentina Riquelme, Centro UC - Síndrome de Down, Escuela de Medicina, Pontificia Universidad Católica de Chile, for her contribution with illustrations. Alonso Rioseco MD, Director of Clinica UC San Carlos, Olga Martinez, Chief-Coordinator of Nursery, Lorena Solís, Pediatric Nurse coordinator (Clinica UC San Carlos, Red de Salud UC Christus), Lorena Troncoso, Nurse coordinator, Alejandra Muñoz, nurse supervisor (Intensive Care Unit, Clinica UC San Carlos), Camila Noceda, Nurse (Clínica UC San Carlos, Red de Salud UC Christus), Jaime Labarca, Department of Infectious Diseases, and Patricia García, Department of Clinical Laboratory, for their support related to the recruitment process for this study.

Footnotes

Appendix A

Supplementary data associated with this article can be found, in the online version, at doi:10.1016/j.gastrohep.2021.12.009.

Appendix A. Supplementary data

The following are the supplementary data to this article:

mmc1.pdf (1.6MB, pdf)

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