Jing Liu1, Min Cui1, Tao Yang1, Ping Yao2. 1. Gastroenterology, Xinjiang Medical University Affiliated First Hospital, Urumqi, Xinjiang, China. 2. Gastroenterology, Xinjiang Medical University Affiliated First Hospital, Urumqi, Xinjiang, China 15757826085@163.com.
The 2019 new coronavirus pneumonia is a new infectious clinical disease caused by a new coronavirus, called SARS-CoV-2.Fever and cough were the most common symptoms in patients with COVID-19, but some non-classical symptoms were underestimated.Gastrointestinal (GI) symptoms accounted for a certain proportion in patients with COVID-19, though fever and cough still were the main symptoms.There was no statistically significant difference in severity of COVID-19 between patients with and without GI symptoms, but the proportion of severe disease in patients with GI symptoms was higher than in patients without GI symptoms.In clinical practice, the presence of GI symptoms in patients does not indicate a risk of disease progression, which cannot be a predictor.
Introduction
Since December 2019, novel coronavirus (SARS-CoV-2)-infected disease (COVID-19) has gradually swept the world. Morbidity and mortality are increasing due to the high infectivity of the disease worldwide. By 20 April 2020, a total of 2 291 281 infections and 160 044 deaths had been confirmed in 211 countries and regions, with a case fatality rate of 7%, and the number of infections and deaths was dramatically rising daily. SARS-CoV-2 belongs to the same coronavirus family as SARS-CoV and MERS-CoV.1 But its transmission speed is higher than the other two, and transmission channels are more diversified, including respiratory and digestive tract.2 3 Earlier studies indicated that the clinical symptoms of COVID-19 vary and not all appear as respiratory symptoms. In some cases, the main symptoms are gastrointestinal (GI) symptoms such as abdominal pain, diarrhoea, nausea and vomiting.4 Moreover, there are many patients of severe disease with GI symptoms.5 Hence, it is essential to explore the correlation between digestive symptoms and disease severity, so as to pre-estimate the disease severity and give appropriate early special care and treatment.
Material and methods
Search strategy
Six medical databases were searched including three English databases (Pubmed, Cochrane Library and Embase) and three Chinese databases (CNKI, Wan Fang Data, China Science and Technology Journal Database). The keywords are as follows: ‘COVID-19’, ‘gastrointestinal symptoms’ and so on.
Inclusion/exclusion criteria
Inclusive criteria: (1) research types : cross-sectional studies, case control studies and case series; (2) research subjects: patients with confirmed COVID-19; (3) data items: including demographic characteristics (age and gender), clinical characteristics (fever, dry cough, fatigue, nausea and vomiting, abdominal pain and diarrhoea) and comorbidities (hypertension and diabetes). Exclusive criteria: (1) the type of study is case report, review and so on; (2) repeated research; (3) lack of the above case data; (4) animal experiments.
Data extraction and paper quality evaluation
A total of 2324 articles were retrieved. Browse the titles and abstracts, remove duplicate references, leaving 57 studies. After reading the full text, 48 articles were removed. Finally, a total of 9 studies5–13 (including 8 English articles and 1 Chinese literature) and 3022 patients were included (figure 1). The Newcastle-Ottawa Scale (NOS) scoring system scored an average of 7.7 (6–8), indicating that the quality of selected studies was relatively high.
Figure 1
Diagram of documents retrieval.
Diagram of documents retrieval.
Statistical analysis
Meta-analysis was performed using Revman5.3. I² statistics are calculated to measure the proportion of total variation in study estimates attributed to heterogeneity. The combined OR and 95% CI (p<0.05) were calculated for heterogeneity. The forest plot and funnel plot were developed to assess heterogeneity and publication bias.
Result
Demographical characteristics, clinical features and comorbidities
The main characteristics of all included studies are as follows: 50% patients are male (95% CI 0.482 to 0.518) and mean age of patients was 49.7 (95% CI 49.213 to 50.244) (figure 2). A total of 479 patients with COVID-19 (13.7%, 95% CI 0.125 to 0.149) had severe disease (figure 3) and 624 patients (14.7%, 95% CI 0.136 to 0.159) had GI symptoms. The incidence of fever was 85.9% (95% CI 0.846 to 0.872), that of dry cough was 60.5% (95% CI 0.588 to 0.623) and that of fatigue was 32.2% (95% CI 0.305 to 0.339) (figure 4). The incidence of comorbidities, including hypertension and diabetes was 17.1% (95% CI 0.156 to 0.185) and 8.1% (95% CI 0.070 to 0.091), respectively (figure 5).
Figure 2
The forest plots of age (A) and male (B).
Figure 3
The incidence of severe type.
Figure 4
The incidence of clinical features: (A) GI symptoms, (B) fever, (C) dry cough and (D) fatigue. GI, gastrointestinal.
Figure 5
The incidence of comorbidities: (A) hypertension and (B) diabetes.
The forest plots of age (A) and male (B).The incidence of severe type.The incidence of clinical features: (A) GI symptoms, (B) fever, (C) dry cough and (D) fatigue. GI, gastrointestinal.The incidence of comorbidities: (A) hypertension and (B) diabetes.
Gastrointestinal symptoms
As shown in table 1, of 624 patients with COVID-19 with GI symptoms, 118 patients had severe disease (20.5%, 95% CI 0.133 to 0.276) and of 2397 cases without GI symptoms, 361 patients were severe (18.2%, 95% CI 0.129 to 0.235) (figure 6). Comparing the severity of COVID-19 in patients with and without GI symptoms, the results indicated: I²=62%; the heterogeneity among studies was moderate. For OR=1.21, 95% CI 0.94 to 1.56, and p=0.13, there was no statistically significant difference in severity of COVID-19 between patients with and without GI symptoms (figure 7). The funnel plot was symmetrical with no publication bias(figure 8). The outcome showed that there was no significant correlation between GI symptoms and disease severity in patients with COVID-19.
Table 1
Severe patients with and without GI symptoms
GI symptoms
No GI symptoms
Study
Severe
No.
Severe
No.
Zhou et al6
4
66
12
188
Jin et al5
17
74
47
577
Guan et al7
22
97
151
1002
Zhang et al8
24
55
34
84
Zhou et al9
5
16
49
175
Fang et al10
17
159
29
146
Lin et al11
14
58
6
37
Nobel et al12
14
97
30
181
Chen et al13
1
2
3
7
Total
118
624
361
2397
GI, gastrointestinal.
Figure 6
The severe type with and without GI symptoms: (A) severe type with GI symptoms and (B) severe type without GI symptoms. GI, gastrointestinal.
Figure 7
The correlation between the presence of GI symptoms and the severity of COVID-19. GI, gastrointestinal.
Figure 8
The funnel plot.
Severe patients with and without GI symptomsGI, gastrointestinal.The severe type with and without GI symptoms: (A) severe type with GI symptoms and (B) severe type without GI symptoms. GI, gastrointestinal.The correlation between the presence of GI symptoms and the severity of COVID-19. GI, gastrointestinal.The funnel plot.
Discussion
In this study, fever (85.9%) and respiratory symptoms (60.5%) were still the main manifestations in patients with COVID-19, but GI symptoms (14.7%), such as nausea, vomiting, diarrhoea and abdominal pain, also appeared in a considerable number of patients, which was consistent with the previous study that Huang et al14 conducted. Wang et al15 reported that abdominal pain was more frequent in patients who required intensive care unit care than those who did not. In addition, Holshue et al16 and Gui et al17 suggested that the crucial ACE2 receptor of SARS-CoV-2 infecting cells was expressed in lung AT2 cells and in intestinal epithelial cells. The study conducted by Lukassen et al showed that organs with ACE2 expressing cells may be considered as potential infection sites and transmission routes for SARS-CoV-2.18 Liang et al19 reported that due to the high ACE2 expression in proximal and distal enterocytes, intestine may be vulnerable to SARS-CoV-2 infection. GI symptoms, such as vomiting and diarrhoea, lead to the interruption of intestinal flora and electrolyte disturbance such as low potassium and imbalance of water and sodium. This is likely to worsen the patients’ condition. However, the result of this meta-analysis showed that there was no statistical correlation between the presence of GI symptoms and the severity of COVID-19. Although there was no statistical significance, the result that the proportion of severe disease in patients with GI symptoms (20.5%) was higher than that in patients without GI symptoms (18.2%) was evident. This study also has some limitations: (1) the languages of retrieval literature are limited to Chinese and English and all the articles are limited to published literature and (2) GI symptoms may be under-reported in some studies, which may cause a lower pooled prevalence rate. Despite the limitations, this meta-analysis overcomes the shortcomings of small sample size and regional restrictions. The heterogeneity and publication bias among the studies are moderate and the results are relatively objective.In summary, current findings are not sufficient to demonstrate a significant correlation between GI symptoms and disease severity in patients with COVID-19. Large multicentric prospective studies are required to confirm our findings.
Authors: Qun Li; Xuhua Guan; Peng Wu; Xiaoye Wang; Lei Zhou; Yeqing Tong; Ruiqi Ren; Kathy S M Leung; Eric H Y Lau; Jessica Y Wong; Xuesen Xing; Nijuan Xiang; Yang Wu; Chao Li; Qi Chen; Dan Li; Tian Liu; Jing Zhao; Man Liu; Wenxiao Tu; Chuding Chen; Lianmei Jin; Rui Yang; Qi Wang; Suhua Zhou; Rui Wang; Hui Liu; Yinbo Luo; Yuan Liu; Ge Shao; Huan Li; Zhongfa Tao; Yang Yang; Zhiqiang Deng; Boxi Liu; Zhitao Ma; Yanping Zhang; Guoqing Shi; Tommy T Y Lam; Joseph T Wu; George F Gao; Benjamin J Cowling; Bo Yang; Gabriel M Leung; Zijian Feng Journal: N Engl J Med Date: 2020-01-29 Impact factor: 176.079
Authors: Soeren Lukassen; Robert Lorenz Chua; Timo Trefzer; Nicolas C Kahn; Marc A Schneider; Michael Kreuter; Christian Conrad; Roland Eils; Thomas Muley; Hauke Winter; Michael Meister; Carmen Veith; Agnes W Boots; Bianca P Hennig Journal: EMBO J Date: 2020-04-14 Impact factor: 11.598
Authors: Yael R Nobel; Meaghan Phipps; Jason Zucker; Benjamin Lebwohl; Timothy C Wang; Magdalena E Sobieszczyk; Daniel E Freedberg Journal: Gastroenterology Date: 2020-04-12 Impact factor: 22.682
Authors: Panagiotis Drakos; Panagiotis Volteas; Nathaniel A Cleri; Leor N Alkadaa; Anthony A Asencio; Anthony Oganov; Aurora Pryor; Mark Talamini; Jerry Rubano; Mohsen Bannazadeh; Charles B Mikell; Konstantinos Spaniolas; Sima Mofakham Journal: J Gastrointest Surg Date: 2021-04-27 Impact factor: 3.452
Authors: Gregory M Marcus; Jeffrey E Olgin; Noah D Peyser; Eric Vittinghoff; Vivian Yang; Sean Joyce; Robert Avram; Geoffrey H Tison; David Wen; Xochitl Butcher; Helena Eitel; Mark J Pletcher Journal: PLoS One Date: 2021-06-17 Impact factor: 3.240