Literature DB >> 32311512

Diarrhea Is Associated With Prolonged Symptoms and Viral Carriage in Corona Virus Disease 2019.

Xiao-Shan Wei1, Xu Wang1, Yi-Ran Niu1, Lin-Lin Ye1, Wen-Bei Peng1, Zi-Hao Wang1, Wei-Bing Yang1, Bo-Han Yang1, Jian-Chu Zhang1, Wan-Li Ma1, Xiao-Rong Wang1, Qiong Zhou2.   

Abstract

BACKGROUND & AIMS: We compared clinical, laboratory, radiological, and outcome features of patients with SARS-CoV-2 infection (COVID-19) with pneumonia, with vs without diarrhea.
METHODS: We performed a retrospective, single-center analysis of 84 patients with SARS-CoV-2 pneumonia in Wuhan Union Hospital, China, from January 19 through February 7, 2020. Cases were confirmed by real-time reverse-transcriptase PCR of nasal and pharyngeal swab specimens for SARS-CoV-2 RNA. Blood samples were analyzed for white blood cell count, lymphocyte count, alanine aminotransferase, creatine kinase, lactate dehydrogenase, D-dimer, C-reactive protein, and in some cases, immunoglobulins, complement, lymphocyte subsets, and cytokines. Virus RNA was detected in stool samples by real-time PCR.
RESULTS: Of the 84 patients with SARS-CoV-2 pneumonia, 26 (31%) had diarrhea. The duration of fever and dyspnea in patients with diarrhea was significantly longer than those without diarrhea (all P < .05). Stool samples from a higher proportion of patients with diarrhea tested positive for virus RNA (69%) than from patients without diarrhea (17%) (P < .001). As of February 19, a lower proportion of patients with diarrhea had a negative result from the latest throat swab for SARS-CoV-2 (77%) than patients without diarrhea (97%) (P = .010), during these patients' hospitalization. Of 76 patients with a negative result from their latest throat swab test during hospitalization, a significantly higher proportion of patients with diarrhea had a positive result from the retest for SARS-CoV-2 in stool (45%) than patients without diarrhea (20%) (P = .039).
CONCLUSIONS: At a single center in Wuhan, China, 31% of patients with SARS-CoV-2 pneumonia had diarrhea. A significantly higher proportion of patients with diarrhea have virus RNA in stool than patients without diarrhea. Elimination of SARS-CoV-2 from stool takes longer than elimination from the nose and throat.
Copyright © 2020 AGA Institute. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  COVID-19; Diarrhea; Pneumonia; SARS-CoV-2

Mesh:

Substances:

Year:  2020        PMID: 32311512      PMCID: PMC7165091          DOI: 10.1016/j.cgh.2020.04.030

Source DB:  PubMed          Journal:  Clin Gastroenterol Hepatol        ISSN: 1542-3565            Impact factor:   11.382


Background

Studies are needed to compare the clinical, laboratory, and outcome features of patients with SARS-CoV-2 infection (COVID-19) with pneumonia, with vs without diarrhea.

Findings

At a single center in Wuhan, China, 31% of patients with SARS-CoV-2 pneumonia had diarrhea. A significantly higher proportion of patients with diarrhea have virus RNA in stool than patients without diarrhea.

Implications for patient care

Elimination of SARS-CoV-2 from stool takes longer than elimination from the nose and throat. Since December 2019, pneumonia caused by novel coronavirus severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has broken out in Wuhan, Hubei province, China. The novel coronavirus has spread to other cities in China and even around the world.1, 2, 3, 4 As of April 10, 2020, 1,521,252 confirmed cases have been reported globally. Among them, 83,305 confirmed cases were from China; furthermore, 3345 cases had died. The clinical manifestations of novel coronavirus, infected pneumonia (corona virus disease 2019 [COVID-19]), have been reported in several recent studies. , 6, 7, 8, 9 Some COVID-19 patients had gastrointestinal symptoms, especially diarrhea. It has been reported that the stools from confirmed cases were tested positive by reverse transcriptase polymerase chain reaction (RT-PCR) for SARS-CoV-2, suggesting the possibility of fomite transmission. , However, the difference in clinical characteristics between diarrhea and non-diarrhea cases has not been reported. In this study, we analyzed the differences in the clinical characteristics, laboratory examinations, imaging manifestations, and outcomes between COVID-19 patients with diarrhea and those without diarrhea.

Methods

Sources of Data

Consecutive patients with confirmed COVID-19 who were admitted to Wuhan Union Hospital from January 19 to February 7, 2020 were enrolled retrospectively. All patients were diagnosed according to World Health Organization (WHO) interim guidance. A confirmed case was defined as a positive result to real-time RT-PCR assay of nasal and pharyngeal swab specimens for SARS-CoV-2 RNA. Only the confirmed cases were enrolled in this study. Stool samples were also tested for SARS-CoV-2 RNA by RT-PCR. The definition of diarrhea by the WHO is having 3 or more loose or liquid stools per day or having more stools than a person’s health condition. All medical records of the enrolled patients were collected, including clinical symptoms, laboratory findings, imaging manifestations, and outcomes. The clinical outcomes (ie, discharges, mortality) were monitored up to February 19, 2020, the final date of follow-up. Data collection and analysis of cases were determined by the National Health Commission of the People’s Republic of China to be part of a continuing public health outbreak investigation and were thus considered exempt from institutional review board approval.

Laboratory Confirmation

The SARS-CoV-2 laboratory test assays were performed for throat swab specimens and stool samples on the basis of the previous WHO recommendation. RNA in patients’ specimens was extracted and tested for SARS-CoV-2 by real-time RT-PCR using the same protocol as previously described in the studies from Wuhan Jinyintan Hospital. ,

Statistical Analysis

Continuous variables were expressed as the means and standard deviations. Categorical variables were summarized as the counts and percentages in each category. Comparisons were determined by unpaired t test or χ2 tests as appropriate. All statistical analyses were performed with SPSS 22.0 (SPSS Inc, Chicago, IL). All authors had access to the study data and reviewed and approved the final manuscript.

Results

Clinical Characteristics

A total of 84 hospitalized health care workers with confirmed COVID-19 were enrolled in this study population, including 17 doctors, 66 nurses, and 1 allied health worker. All the doctors worked in the wards and went to outpatient clinic intermittently for 2 half-days per week. Most of the nurses worked in the wards, except for 3 nurses who worked in the fever clinic. The only allied health worker worked in the Network Center of Union Hospital. All of these patients were admitted to isolation wards. The median age of the patients was 37 years (range, 24–74 years), and 28 of the 84 patients (33%) were male. Among them, 26 patients (31%) had diarrhea; the remaining 58 patients had no diarrhea. The comparison of clinical characteristics between these 2 groups is shown in Table 1 . Several clinical symptoms were more common in diarrhea group as compared with non-diarrhea group, including headache (58% vs 22%, P = .003), myalgia or fatigue (65% vs 34%, P = .010), cough (85% vs 45%, P < .001), sputum production (54% vs 21%, P = .004), nausea (38% vs 10%, P = .005), and vomiting (19% vs 2%, P = .010).
Table 1

Characteristics of COVID-19 Patients

CharacteristicAll patients (n = 84)Diarrhea group (n = 26)Non-diarrhea group (n = 58)P value
Male sex, n (%)28 (33)8 (31)20 (35).806
Age, y
 Median3738.537
 Range24–7429–7424–67
 Age ≥50 y, n (%)23 (27)7 (27)16 (28)>.999
Suspected case contact exposure, n (%)57 (68)19 (73)38 (66).616
Current smoking, n (%)5 (6)2 (8)3 (5).643
Underlying illness, n (%)13 (16)3 (12)10 (17).746
 Respiratory disease3 (4)03 (5).549
 Diabetes mellitus6 (7)2 (8)4 (7)>.999
 Hypertension4 (5)1 (4)3 (5)>.999
Symptoms
 Fever72 (86)22 (85)50 (86)>.999
 Headache28 (33)15 (58)13 (22).003
 Myalgia or fatigue37 (44)17 (65)20 (34).010
 Cough48 (57)22 (85)26 (45)<.001
 Sputum production26 (31)14 (54)12 (21).004
 Dyspnea32 (38)9 (35)23 (40).809
 Nausea16 (19)10 (38)6 (10).005
 Vomiting6 (7)5 (19)1 (2).010
 Abdominal pain2 (2)2 (8)0 (0).093
 Abdominal distention3 (4)2 (8)1 (2).225
 Tenesmus1 (1)1 (4)0 (0).310

COVID-19, corona virus disease 2019.

Characteristics of COVID-19 Patients COVID-19, corona virus disease 2019.

Laboratory and Radiologic Findings on Admission to Hospital

Table 2 shows the comparison of laboratory findings between the diarrhea group and non-diarrhea group at the time of hospitalization. Most of the laboratory findings had no difference between these 2 groups, including white blood cell count, lymphocyte count, alanine aminotransferase, creatine kinase, lactate dehydrogenase, D-dimer, and C-reactive protein. Some of the 84 patients were tested for immunoglobulins, complement, lymphocyte subsets, and cytokines. As shown in Supplementary Table 1, several cytokines including interleukin 2, interleukin 4, and interferon-γ decreased significantly in diarrhea group as compared with non-diarrhea group (2.26 ± 0.27 vs 2.59 ± 0.24 pg/mL, P = .001; 1.54 ± 0.37 vs 2.11 ± 0.44 pg/mL, P = .001; 1.90 ± 0.49 vs 2.85 ± 1.27 pg/mL, P = .012, respectively). However, there were no differences in immunoglobulins, complement, and lymphocyte subsets between these 2 groups, as shown in Supplementary Table 2, Supplementary Table 3.
Table 2

Laboratory Findings of 84 Patients Infected With SARS-CoV-2 on Admission to Hospital

All patients (n = 84)Diarrhea group (n = 26)Non-diarrhea group (n = 58)P value
White blood cell count, ×109/L4.0 ± 1.53.7 ± 1.64.2 ± 1.5.170
 <3.5, n (%)36 (43)16 (62)20 (35).055
 3.5–9.5, n (%)46 (55)10 (38)36 (62)
 >9.5, n (%)2 (2)0 (0)2 (3)
Neutrophil count, ×109/L2.4 ± 1.12.3 ± 1.32.5 ± 1.0.443
Lymphocyte count, ×109/L1.3 ± 0.61.1 ± 0.41.3 ± 0.7.178
 <1.1, n (%)33 (39)14 (54)19 (33).143
 1.1–3.2, n (%)49 (58)12 (46)37 (64)
 >3.2, n (%)2 (2)02 (3)
Platelet count, ×109/L180.1 ± 58.2164.6 ± 55.4187.1 ± 58.8.103
Hemoglobin, g/L128.3 ± 15.6128.8 ± 15.5128.1 ± 15.8.851
ALT, U/L28.3 ± 19.320.6 ± 7.531.6 ± 21.8.014
AST, U/L29.0 ± 13.124.9 ± 6.430.8 ± 14.8.055
ALB, g/L40.4 ± 4.140.5 ± 4.740.3 ± 3.8.837
T-BIL, μmol/L9.2 ± 3.08.3 ± 2.49.7 ± 3.2.050
D-BIL, μmol/L3.0 ± 2.22.5 ± 1.53.2 ± 2.4.175
CREA, μmol/L69.0 ± 18.966.4 ± 15.570.1 ± 20.3.411
BUN, mmol/L3.7 ± 1.33.6 ± 1.33.8 ± 1.3.516
CK, U/L109.5 ± 149.372.9 ± 45.3125.9 ± 175.4.134
LDH, U/L238.1 ± 98.5213.1 ± 49.6249.3 ± 112.6.121
PT, sec13.3 ± 1.513.8 ± 2.613.1 ± 0.5.051
APTT, sec38.8 ± 3.538.8 ± 4.238.7 ± 3.2.905
D-dimer, mg/L0.47 ± 0.410.49 ± 0.510.46 ± 0.36.758
CRP, mg/L, n (%)
 <8.035 (42)9 (35)26 (45).475
 ≥8.049 (58)17 (65)32 (55)
PCT, μg/L, n (%)
 <0.582 (98)25 (96)57 (98).526
 ≥0.52 (2)1 (4)1 (2)
ESR, mm/h21.9 ± 18.719.2 ± 14.123.0 ± 20.3.390

ALB, albumin; ALT, alanine aminotransferase; APTT, activated partial thromboplastin time; AST, aspartate aminotransferase; BUN, blood urea nitrogen; CK, creatine kinase; CREA, creatinine; CRP, C-reactive protein; D-BIL, direct bilirubin; ESR, erythrocyte sedimentation rate; LDH, lactic dehydrogenase; PCT, procalcitonin; PT, prothrombin time; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2; T-BIL, total bilirubin.

Supplementary Table 1

Cytokine Detection Assays in Patients Infected With SARS-CoV-2

CharacteristicPatients (n = 30)Diarrhea group (n = 15)Non-diarrhea group (n = 15)P value
IL2 (pg/mL; normal range 0.10–4.10)2.41 ± 0.302.26 ± 0.272.59 ± 0.24.001
IL4 (pg/mL; normal range 0.10–3.20)1.80 ± 0.491.54 ± 0.372.11 ± 0.44.001
IL6 (pg/mL; normal range 0.10–2.90)13.27 ± 15.1615.87 ± 18.7810.10 ± 9.16.294
Increased, n (%)27 (90)13 (87)14 (93)>.999
IL10 (pg/mL; normal range 0.10–5.00)4.62 ± 2.593.84 ± 1.645.57 ± 3.27.078
 Increased, n (%)8 (27)3 (20)5 (33).682
TNF-α (pg/mL; normal range 0.10–23.00)2.41 ± 1.902.68 ± 2.562.08 ± 0.36.376
IFN-γ (pg/mL; normal range 0.10–18.00)2.33 ± 1.021.90 ± 0.492.85 ± 1.27.012

IFN, interferon; IL, interleukin; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2; TNF, tumor necrosis factor.

Supplementary Table 2

Identification of Immunoglobulins and Complement in Patients Infected With SARS-CoV-2

CharacteristicPatients (n = 30)Diarrhea group (n = 15)Non-diarrhea group (n = 15)P value
IgE (IU/mL; normal range 1–190)92.02 ± 110.2979.36 ± 120.6099.25 ± 108.02.638
 Increased, n (%)6 (20)2 (13)4 (27).651
IgG (g/L; normal range 7.51–15.60)11.85 ± 2.0411.45 ± 1.8712.09 ± 2.17.394
IgA (g/L; normal range 0.82–4.53)1.95 ± 0.752.14 ± 0.931.83 ± 0.63.294
IgM (g/L; normal range 0.460–3.040)1.34 ± 0.741.29 ± 0.341.43 ± 0.90.578
C3 (g/L; normal range 0.790–1.520)0.81 ± 0.190.79 ± 0.200.82 ± 0.19.677
 Decreased, n (%)14 (47)6 (40)8 (53).715
C4 (g/L; normal range 0.160–0.380)0.27 ± 0.070.25 ± 0.080.28 ± 0.07.284

C, complement; IG, immunoglobulin; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.

Supplementary Table 3

Analysis of Lymphocyte Subsets in Patients Infected With SARS-CoV-2

CharacteristicPatients (n = 30)Diarrhea group (n = 15)Non-diarrhea group (n = 15)P value
CD3+ T cells (%; normal range 58.17–84.22)74.74 ± 8.1574.69 ± 6.4174.80 ± 10.59.973
CD4+ T cells (%; normal range 24.34–51.37)42.41 ± 10.2042.12 ± 12.6142.82 ± 6.33.849
CD8+ T cells (%; normal range 14.23–38.95)27.55 ± 10.1327.66 ± 11.4527.39 ± 8.75.943
B cells (%; normal range 4.10–18.31)12.15 ± 3.2611.64 ± 2.6912.96 ± 4.09.305
NK cells (%; normal range 3.33–30.47)9.96 ± 7.0610.50 ± 6.789.10 ± 7.95.608
CD4+/CD8+ ratio (normal range 0.41–2.72)2.11 ± 2.222.40 ± 2.911.72 ± 0.58.382

NK, natural killer; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.

Laboratory Findings of 84 Patients Infected With SARS-CoV-2 on Admission to Hospital ALB, albumin; ALT, alanine aminotransferase; APTT, activated partial thromboplastin time; AST, aspartate aminotransferase; BUN, blood urea nitrogen; CK, creatine kinase; CREA, creatinine; CRP, C-reactive protein; D-BIL, direct bilirubin; ESR, erythrocyte sedimentation rate; LDH, lactic dehydrogenase; PCT, procalcitonin; PT, prothrombin time; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2; T-BIL, total bilirubin. The most common finding in computed tomography (CT) images was ground-glass opacifications (96%), as shown in Supplementary Table 4. There were no differences in the location or number of ground-glass opacifications between these 2 groups. On admission to hospital, all confirmed COVID patients were tested for SARS-CoV-2 RNA from stool samples. Stool samples from a higher proportion of patients with diarrhea (69%) tested positive for virus RNA than from patients without diarrhea (17%) (P < .001) (Table 3 ).
Supplementary Table 4

Pulmonary Computed Tomography of Patients With COVID-19 Pneumonia on Admission to Hospital

Pulmonary computed tomographyPatients (n = 84)Diarrhea group (n = 26)Non-diarrhea group (n = 58)P value
Ground-glass opacification81 (96)24 (92)57 (98).225
 Side of ground-glass opacification.556
 Left5 (6)2 (8)3 (5)
 Right4 (5)2 (8)2 (4)
 Both72 (89)20 (83)52 (91)
 Location of ground-glass opacification.315
 Peripheral parenchyma54 (67)14 (58)40 (70)
 Central parenchyma000
 Both27 (33)10 (42)17 (30)
 Number of ground-glass opacification>.999
 Single9 (11)3 (13)6 (11)
 Multifocal72 (89)21 (88)51 (89)
Patchy consolidation34 (40)14 (54)20 (34).148
Reticular change12 (14)3 (12)9 (16).746

NOTE. Data shown as n (%).

COVID-19, corona virus disease 2019.

Table 3

Outcome of SARS-CoV-2 RT-PCR for Stool in Patients at Admission

SARS-CoV-2 (RT-PCR)All patients (n = 84)Diarrhea group (n = 26)Non-diarrhea group (n = 58)P value
Negative, n (%)56 (67)8 (31)48 (83)<.001
Positive, n (%)28 (33)18 (69)10 (17)

RT-PCR, reverse transcriptase polymerase chain reaction; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.

Outcome of SARS-CoV-2 RT-PCR for Stool in Patients at Admission RT-PCR, reverse transcriptase polymerase chain reaction; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.

Clinical Outcomes

As of February 19, 2020, none of these 84 patients had died or had been admitted to intensive care unit; 63 patients had been discharged, and 21 patients were still in hospital. All patients received antibiotics and antiviral agents during hospitalization; 39 patients (46%) received 2 kinds of antibiotics. After a period of time for treatment, throat swab specimens from patients were regathered and tested for SARS-CoV-2. If the result of real-time RT-PCR was negative 2 times consecutively, body temperature returned to normal for more than 3 days, and respiratory symptoms and lung lesions on CT scan improved significantly, patients were permitted to be discharged. The duration of fever and dyspnea in patients with diarrhea was significantly longer than in those without diarrhea (10.5 ± 4.7 vs 7.6 ± 3.4 days, P = .005; 8.1 ± 3.2 vs 4.7 ± 2.3 days, P = .002, respectively) (Figure 1 A and B). By the end of February 19, 2020, a lower proportion of patients with diarrhea (77%) had a negative result from the latest throat swab for SARS-CoV-2 than patients without diarrhea (97%) (P = .010) during these patients’ hospitalization (Table 4 ). The mean time of SARS-CoV-2 in throat swab turning to be negative was longer in diarrhea group as compared with non-diarrhea group (12.5 ± 4.0 vs 9.2 ± 3.9 days, P = .002) (Figure 1 C). Patients’ stool specimens were also retested for SARS-CoV-2. Of 76 COVID-19 patients who had a negative result from their latest throat swab test during hospitalization, a significantly higher proportion of patients with diarrhea (45%) had a positive result from the retest for SARS-CoV-2 in stool than in patients without diarrhea (20%) (P = .039) (Table 5 ). All patients were reexamined with a CT scan during hospitalization. By the end of February 19, 2020, the improvement rate and deterioration rate showed no differences between diarrhea group and non-diarrhea group, as shown in Supplementary Table 5. Discharged patients were more common in non-diarrhea group as compared with diarrhea group (83% vs 58%, P = .028) (Supplementary Table 6). Meanwhile, the hospital stays were longer in diarrhea group than in non-diarrhea group (16.5 ± 5.2 vs 11.8 ± 5.6 days, P < .001) (Figure 1 D).
Figure 1

(A) The lasting days of fever in COVID-19 patients. (B) The lasting days of dyspnea in COVID-19 patients. (C) Time from the day of the COVID-19 patients’ admission to patients’ SARS-CoV-2 in throat swab showing negative. (D) Hospital stays in COVID-19 patients. Data are presented as means ± standard deviation. ∗P < .05. Comparisons were determined by unpaired t test. COVID-19, corona virus disease 2019; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.

Table 4

Outcome of SARS-CoV-2 RT-PCR Latest Examination for Throat Swab in Patients Infected With SARS-CoV-2 During Hospitalization

SARS-CoV-2 RT-PCR latest examinationAll patients (n = 84)Diarrhea group (n = 26)Non-diarrhea group (n=58)P value
Negative, n (%)76 (90)20 (77)56 (97).010
Positive, n (%)8 (10)6 (23)2 (3)

RT-PCR, reverse transcriptase polymerase chain reaction; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.

Table 5

Outcome of SARS-CoV-2 RT-PCR Reexamination of Stool in Patients Whose Throat Swab Latest Test for SARS-CoV-2 Has Shown Negative

SARS-CoV-2 (RT-PCR)All patients (n = 76)Diarrhea group (n = 20)Non-diarrhea group (n = 56)P value
Negative, n (%)56 (74)11 (55)45 (80).039
Positive, n (%)20 (26)9 (45)11 (20)

RT-PCR, reverse transcriptase polymerase chain reaction; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.

Supplementary Table 5

Outcome of Computed Tomography Imaging Reexamination in Patients Infected With SARS-CoV-2

Computed tomography imaging reexaminationAll patients (n = 84)Diarrhea group (n = 26)Non-diarrhea group (n = 58)P value
Improvement, n (%)64 (76)17 (65)47 (81).115
Deterioration, n (%)12 (14)4 (15)8 (14)
Similarity, n (%)8 (10)5 (19)3 (5)

SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.

Supplementary Table 6

Number of Discharged and Hospitalized Patients as of February 19, 2020

All patients (n = 84)Diarrhea group (n = 26)Non-diarrhea group (n = 58)P value
Discharged, n (%)63 (75)15 (58)48 (83).028
Hospitalized, n (%)21 (25)11 (42)10 (17)
(A) The lasting days of fever in COVID-19 patients. (B) The lasting days of dyspnea in COVID-19 patients. (C) Time from the day of the COVID-19 patients’ admission to patientsSARS-CoV-2 in throat swab showing negative. (D) Hospital stays in COVID-19 patients. Data are presented as means ± standard deviation. ∗P < .05. Comparisons were determined by unpaired t test. COVID-19, corona virus disease 2019; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2. Outcome of SARS-CoV-2 RT-PCR Latest Examination for Throat Swab in Patients Infected With SARS-CoV-2 During Hospitalization RT-PCR, reverse transcriptase polymerase chain reaction; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2. Outcome of SARS-CoV-2 RT-PCR Reexamination of Stool in Patients Whose Throat Swab Latest Test for SARS-CoV-2 Has Shown Negative RT-PCR, reverse transcriptase polymerase chain reaction; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2. The mean diarrhea time of the 26 patients was 3.7 days. The smear for stool fungus was positive in 7 patients (27%), and stool occult blood was positive in 3 patients (12%). After treatment of intestinal microecological modulator, the visual analogue scale scores for diarrhea, frequency of defecation, and Bristol scores decreased significantly in patients with diarrhea (6.8 ± 1.1 vs 3.0 ± 1.0, 5.7 ± 2.8 vs 2.1 ± 0.8, 5.9 ± 0.6 vs 3.7 ± 0.7, respectively; all P < .0001), as shown in Supplementary Table 7.
Supplementary Table 7

Outcome of Diarrhea Patients Before and After Probiotics Treatment

Before probiotics treatment (n = 26)After probiotics treatment (n = 26)P value
VAS scores for diarrhea6.8 ± 1.13.0 ± 1.0<.0001
Defecating frequency5.7 ± 2.82.1 ± 0.8<.0001
Bristol score5.9 ± 0.63.7 ± 0.7<.0001
Stool occult blood positive, n (%)3 (12)0 (0).235
Smear for stool fungus positive, n (%)7 (27)0 (0).010

NOTE. VAS, visual analogue scale/score (0, no diarrhea; ≤3, slight diarrhea; 4–6, moderate diarrhea; 7–10, severe diarrhea); Bristol score: 1, separate hard lumps (like nuts); 2, sausage-shaped but lumpy; 3, like a sausage or snake, but with cracks on its surface; 4, like a sausage or snake and smooth and soft; 5, soft blobs with a clear cut edge; 6, fluffy pieces with ragged edges and mushy; 7, watery with no solid pieces.

Discussion

This study has shown that diarrhea occurred in 31% of patients with SARS-CoV-2 infectious pneumonia and focuses on the difference between COVID-19 patients with diarrhea and those without. Although most of the laboratory and radiologic findings showed no difference between these 2 groups, we did find some characteristics that differed between them. The COVID-19 patients with diarrhea experienced headache, myalgia or fatigue, cough, sputum production, nausea, and vomiting more frequently than those patients without diarrhea, but they seldom experienced abdominal pain, abdominal distention, and tenesmus. The characteristics of diarrhea in SARS-CoV-2 pneumonia patients included increased defecation frequency (3–14 times per day) and pasty stool with no mucus or purulent blood. The diarrhea in some patients gradually alleviated and disappeared during hospitalization, but in other patients, the frequency of diarrhea increased, and smear for stool fungus and stool test for occult blood showed positive. The intestinal epithelial injury caused by the infection of novel coronavirus might be an important cause of the diarrhea in COVID-19 patients. Full-genome sequencing and phylogenic analysis showed that SARS-CoV-2 and SARS-CoV belong to the same genus of coronaviruses (Betacoronaviruses), with about 80% sequence identity. , SARS viral particles and genomic sequence were detected in the mucosa of the intestine. Recently, researchers from Guangzhou Institute of Respiratory Health successfully isolated SARS-CoV-2 from a COVID-19 patient’s stool (unpublished data, February 2020). Studies indicated that SARS-CoV-2 and SARS-CoV use the same receptor, angiotensin-converting enzyme 2 (ACE2), to get access into host cells. , Through single-cell RNA sequencing technology, Zhao et al found that the expression of ACE2 was concentrated in a small population of type II alveolar cells (AT2 cells) in the normal human lungs. However, the lung AT2 cells were not the only highly expressing ACE2 cells; they were also in esophagus upper and stratified epithelial cells and absorptive enterocytes from ileum and colon. The digestive system is also a potential pathway for SARS-CoV-2 infection. As a common symptom in COVID-19 patients, diarrhea also indicates the involvement of the digestive system. The absorptive enterocytes were the most vulnerable intestinal epithelial cells and can be invaded by coronavirus and norovirus, leading to malabsorption, unbalanced intestinal secretion, and activated enteric nervous system, resulting in diarrhea finally. , The diarrhea symptoms may be caused by the invaded ACE2-expressing enterocytes. The underlying molecular pathogenesis needs to be further investigated. Another reason for the diarrhea in COVID-19 patients might be antibiotic-associated diarrhea. Broad-spectrum antibiotic use can disrupt the gastrointestinal microbiota, resulting in diarrhea. All patients in this study (100%) had received oral or intravenous antibiotics, and some (46%) had received 2 antibiotics. Because this is a small size study, we failed to analyze the correlation between antibiotic and diarrhea. The diarrhea in these patients was significantly relieved after taking intestinal probiotics, indicating that the use of antimicrobial drugs might be an important cause of diarrhea in COVID-19 patients. We also found that the duration of symptoms in patients with diarrhea was significantly longer than in those without diarrhea, including fever and dyspnea. Patients with diarrhea took much more time to eliminate SARS-CoV-2 from respiratory system, leading to longer hospital stay time. The frequency of positive rate for testing SARS-CoV-2 from stool was higher in patients with diarrhea, as compared with patients without diarrhea at admission. This indicated that SARS-CoV-2 infection in digestive system may be more common and more severe in patients with diarrhea. Moreover, stool specimens retested for SARS-CoV-2 in patients with persistent diarrhea persisted as positive, even after the throat swab testing for SARS-CoV-2 had turned out to be negative. The elimination of SARS-CoV-2 from digestive system may be much later and harder than that from respiratory system. Patients with negative throat swab test for SARS-CoV-2 may still be able to spread infection to other people through fomite transmission. We suppose the delayed elimination of SARS-CoV-2 in digestive system might be partly related to the use of antibiotic. Studies indicated that antibiotics had profound effect on gut microbiota, leading to altered immune system, including antibody production and T-cell differentiation.20, 21, 22 Additional studies are needed to investigate the relationship between gut microbiota and antibiotics in COVID-19 patients. The proportion of patients with diarrhea (31%) in this study is much higher than what was reported in other series. , , The possible reasons are the precise and timely descriptions of symptoms of the 84 patients, who were all infected medical staff. According to their descriptions, we noted 26 patients complained of diarrhea among the total 84 patients. However, the sample size was relatively small, and it could not represent the overall situation. The collection and analysis of such data are still ongoing in our group, and we expect to give a more comprehensive explanation in the near future. None of these 84 infected health care workers died or required intensive care unit admission. One explanation might be that almost all the medical staff with COVID-19 pneumonia in our cohort were younger people and had mild disease. Another explanation might be that our patients did not have significant underlying chronic diseases and received timely treatment. This study has several limitations. First, the sample size of COVID-19 patients with diarrhea was relatively smaller than those without diarrhea (26 vs 58). Second, all of the 84 patients were confirmed with throat swab specimens, and no paired lower respiratory tract specimens were obtained to see the difference in the viral RNA detection rate between them.

Conclusions

In this single-center case series of 84 confirmed COVID-19 patients in Wuhan, China, 26 patients (31%) experienced diarrhea. COVID-19 patients with diarrhea experienced discomfort longer, as compared with COVID-19 patients without diarrhea. In patients with diarrhea, stool specimens testing for SARS-CoV-2 may persist as positive, even after the throat swab testing for SARS-CoV-2 has turned out to be negative.
  15 in total

1.  Effectiveness of Lactobacillus helveticus and Lactobacillus rhamnosus for the management of antibiotic-associated diarrhoea in healthy adults: a randomised, double-blind, placebo-controlled trial.

Authors:  Malkanthi Evans; Ryan P Salewski; Mary C Christman; Stephanie-Anne Girard; Thomas A Tompkins
Journal:  Br J Nutr       Date:  2016-05-12       Impact factor: 3.718

2.  2019-nCoV acute respiratory disease, Australia: Epidemiology Report 1 (Reporting week 26 January - 1 February 2020).

Authors: 
Journal:  Commun Dis Intell (2018)       Date:  2020-02-06

3.  Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus-Infected Pneumonia in Wuhan, China.

Authors:  Dawei Wang; Bo Hu; Chang Hu; Fangfang Zhu; Xing Liu; Jing Zhang; Binbin Wang; Hui Xiang; Zhenshun Cheng; Yong Xiong; Yan Zhao; Yirong Li; Xinghuan Wang; Zhiyong Peng
Journal:  JAMA       Date:  2020-03-17       Impact factor: 56.272

4.  Maternal Antibiotic Treatment Impacts Development of the Neonatal Intestinal Microbiome and Antiviral Immunity.

Authors:  Gabriela Gonzalez-Perez; Allison L Hicks; Tessa M Tekieli; Caleb M Radens; Brent L Williams; Esi S N Lamousé-Smith
Journal:  J Immunol       Date:  2016-04-01       Impact factor: 5.422

5.  Multiple organ infection and the pathogenesis of SARS.

Authors:  Jiang Gu; Encong Gong; Bo Zhang; Jie Zheng; Zifen Gao; Yanfeng Zhong; Wanzhong Zou; Jun Zhan; Shenglan Wang; Zhigang Xie; Hui Zhuang; Bingquan Wu; Haohao Zhong; Hongquan Shao; Weigang Fang; Dongshia Gao; Fei Pei; Xingwang Li; Zhongpin He; Danzhen Xu; Xeying Shi; Virginia M Anderson; Anthony S-Y Leong
Journal:  J Exp Med       Date:  2005-07-25       Impact factor: 14.307

6.  Protection of the Human Gut Microbiome From Antibiotics.

Authors:  Jean de Gunzburg; Amine Ghozlane; Annie Ducher; Emmanuelle Le Chatelier; Xavier Duval; Etienne Ruppé; Laurence Armand-Lefevre; Frédérique Sablier-Gallis; Charles Burdet; Loubna Alavoine; Elisabeth Chachaty; Violaine Augustin; Marina Varastet; Florence Levenez; Sean Kennedy; Nicolas Pons; France Mentré; Antoine Andremont
Journal:  J Infect Dis       Date:  2018-01-30       Impact factor: 5.226

7.  A pneumonia outbreak associated with a new coronavirus of probable bat origin.

Authors:  Peng Zhou; Xing-Lou Yang; Xian-Guang Wang; Ben Hu; Lei Zhang; Wei Zhang; Hao-Rui Si; Yan Zhu; Bei Li; Chao-Lin Huang; Hui-Dong Chen; Jing Chen; Yun Luo; Hua Guo; Ren-Di Jiang; Mei-Qin Liu; Ying Chen; Xu-Rui Shen; Xi Wang; Xiao-Shuang Zheng; Kai Zhao; Quan-Jiao Chen; Fei Deng; Lin-Lin Liu; Bing Yan; Fa-Xian Zhan; Yan-Yi Wang; Geng-Fu Xiao; Zheng-Li Shi
Journal:  Nature       Date:  2020-02-03       Impact factor: 69.504

8.  Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China.

Authors:  Chaolin Huang; Yeming Wang; Xingwang Li; Lili Ren; Jianping Zhao; Yi Hu; Li Zhang; Guohui Fan; Jiuyang Xu; Xiaoying Gu; Zhenshun Cheng; Ting Yu; Jiaan Xia; Yuan Wei; Wenjuan Wu; Xuelei Xie; Wen Yin; Hui Li; Min Liu; Yan Xiao; Hong Gao; Li Guo; Jungang Xie; Guangfa Wang; Rongmeng Jiang; Zhancheng Gao; Qi Jin; Jianwei Wang; Bin Cao
Journal:  Lancet       Date:  2020-01-24       Impact factor: 79.321

9.  Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study.

Authors:  Nanshan Chen; Min Zhou; Xuan Dong; Jieming Qu; Fengyun Gong; Yang Han; Yang Qiu; Jingli Wang; Ying Liu; Yuan Wei; Jia'an Xia; Ting Yu; Xinxin Zhang; Li Zhang
Journal:  Lancet       Date:  2020-01-30       Impact factor: 79.321

10.  First Case of 2019 Novel Coronavirus in the United States.

Authors:  Michelle L Holshue; Chas DeBolt; Scott Lindquist; Kathy H Lofy; John Wiesman; Hollianne Bruce; Christopher Spitters; Keith Ericson; Sara Wilkerson; Ahmet Tural; George Diaz; Amanda Cohn; LeAnne Fox; Anita Patel; Susan I Gerber; Lindsay Kim; Suxiang Tong; Xiaoyan Lu; Steve Lindstrom; Mark A Pallansch; William C Weldon; Holly M Biggs; Timothy M Uyeki; Satish K Pillai
Journal:  N Engl J Med       Date:  2020-01-31       Impact factor: 91.245

View more
  50 in total

Review 1.  COVID-19 (SARS-CoV-2) in Non-Airborne body fluids: A systematic review & Meta-analysis.

Authors:  Hans Johnson; Megha Garg; Saran Shantikumar; Jecko Thachil; Bhavan Rai; Omar M Aboumarzouk; Hashim Hashim; Joe Philip
Journal:  Turk J Urol       Date:  2021-03-01

2.  Ulcerative Colitis in a COVID-19 Patient: A Case Report.

Authors:  Muhammet Fatih Aydın; Hamit Taşdemir
Journal:  Turk J Gastroenterol       Date:  2021-06       Impact factor: 1.852

Review 3.  Defense of COVID-19 by Human Organoids.

Authors:  Ting Lv; Fanlu Meng; Meng Yu; Haihui Huang; Xinhua Lin; Bing Zhao
Journal:  Phenomics       Date:  2021-07-14

4.  COVID-19: Don't Neglect the Gastrointestinal Tract!

Authors:  Peter Malfertheiner; Jan Bornschein; Luigi Ricciardiello
Journal:  Dig Dis       Date:  2020-04-29       Impact factor: 2.404

5.  Testing for Severe Acute Respiratory Syndrome-Coronavirus 2: Challenges in Getting Good Specimens, Choosing the Right Test, and Interpreting the Results.

Authors:  Yuan-Po Tu; Timothy J O'Leary
Journal:  Crit Care Med       Date:  2020-11       Impact factor: 7.598

6.  SARS-CoV-2 detection, viral load and infectivity over the course of an infection.

Authors:  Kieran A Walsh; Karen Jordan; Barbara Clyne; Daniela Rohde; Linda Drummond; Paula Byrne; Susan Ahern; Paul G Carty; Kirsty K O'Brien; Eamon O'Murchu; Michelle O'Neill; Susan M Smith; Máirín Ryan; Patricia Harrington
Journal:  J Infect       Date:  2020-06-29       Impact factor: 6.072

7.  Global prevalence of prolonged gastrointestinal symptoms in COVID-19 survivors and potential pathogenesis: A systematic review and meta-analysis.

Authors:  Fauzi Yusuf; Marhami Fahriani; Sukamto S Mamada; Andri Frediansyah; Azzaki Abubakar; Desi Maghfirah; Jonny Karunia Fajar; Helnida Anggun Maliga; Muhammad Ilmawan; Talha Bin Emran; Youdiil Ophinni; Meutia Rizki Innayah; Sri Masyeni; Abdulla Salem Bin Ghouth; Hanifah Yusuf; Kuldeep Dhama; Firzan Nainu; Harapan Harapan
Journal:  F1000Res       Date:  2021-04-19

Review 8.  COVID-19: Specific and Non-Specific Clinical Manifestations and Symptoms: The Current State of Knowledge.

Authors:  Jacek Baj; Hanna Karakuła-Juchnowicz; Grzegorz Teresiński; Grzegorz Buszewicz; Marzanna Ciesielka; Ryszard Sitarz; Alicja Forma; Kaja Karakuła; Wojciech Flieger; Piero Portincasa; Ryszard Maciejewski
Journal:  J Clin Med       Date:  2020-06-05       Impact factor: 4.241

9.  Gastrointestinal involvement in COVID-19 patients: a retrospective study from a Greek COVID-19 referral hospital.

Authors:  Panagiotis Tsibouris; Konstantinos Ekmektzoglou; Alexandra Agorogianni; Chrysostomos Kalantzis; Antonia Theofanopoulou; Klearchos Toumbelis; Leonidas Petrogiannopoulos; Charalambos Poutakidis; Stavroula Goggaki; Ioannis Braimakis; Erasmia Vlachou; Abraham Pouliakis; Periklis Apostolopoulos
Journal:  Ann Gastroenterol       Date:  2020-06-30

Review 10.  Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2): a review.

Authors:  Wei Feng; Wei Zong; Feng Wang; Shaoqing Ju
Journal:  Mol Cancer       Date:  2020-06-02       Impact factor: 41.444

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.