| Literature DB >> 33432303 |
Subash Ghimire1, Sachit Sharma2, Achint Patel3, Rasmita Budhathoki4, Raja Chakinala1, Hafiz Khan1, Matthew Lincoln1, Michael Georgeston1.
Abstract
COVID-19 has become a pandemic since its emergence in Wuhan, China. The disease process was initially defined by presence of respiratory symptoms; however, it is now well studied and shown in evidence that this is a multisystem process. Involvement of gastrointestinal (GI) system has been identified, and GI symptoms can be the only presenting symptoms in some patients. Hence, it is important to identify and understand the GI symptoms associated with COVID-19 for appropriate care of patient. We conducted a systematic review and metaanalysis to identify the GI symptoms of COVID-19 and identify association of diarrhea with severity of COVID-19. We performed extensive search of Medline and Embase from December 2019 to May 2020 to identify articles reporting GI symptoms in COVID-19 patients. The primary outcome was prevalence of GI symptoms in COVID-19 patients, and secondary outcome was the association of diarrhea with disease severity. A total of 38 studies with 8407 patients were included. Of the total patients, 15.47% patients had at least one GI symptom. The pooled prevalence of nausea/vomiting was 7.53% and diarrhea was 11.52%. On metaanalysis, patients with diarrhea as one of the presenting symptoms were more likely to have severe disease (OR 1.63, 95% CI: 1.11-3.38, p = 0.01). Our systematic review and metaanalysis demonstrated that GI symptoms are common in COVID-19. Presence of diarrhea as a presenting symptom is associated with increased disease severity and likely worse prognosis. Early recognition of patients is needed for prompt management of this at-risk population. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s42399-020-00662-w. © Springer Nature Switzerland AG 2021.Entities:
Keywords: COVID-19; Diarrhea; GI; Metaanalysis; Nausea; Vomiting
Year: 2021 PMID: 33432303 PMCID: PMC7787639 DOI: 10.1007/s42399-020-00662-w
Source DB: PubMed Journal: SN Compr Clin Med ISSN: 2523-8973
Demographic features of studies
| Study name | Type of study | Sample size | Country | Age (Mean/ Median) | Male | Female |
|---|---|---|---|---|---|---|
| Guan W [ | Multicenter | 1099 | China | 47 (median) | 640 | 459 |
| Young B [ | Multicenter | 18 | Singapore | 47 (median) | 9 | 9 |
| Pan L [ | Multicenter | 204 | China | 52.9 (mean) | 107 | 97 |
| Han C [ | Single center | 206 | China | 62.5 (mean) | 91 | 115 |
| Zhang JJ [ | Single center | 140 | China | 57 (median) | 71 | 69 |
| Jin X [ | Multicenter | 651 | China | 46.14 (mean) | 331 | 320 |
| Nobel Y [ | Single center | 278 | USA | N/A | 145 | 133 |
| Zhou Z [ | Single center | 254 | China | 50 (Median) | 115 | 139 |
| Cheung K [ | Multicenter | 59 | Hong Kong | 58.5 (Median) | 27 | 32 |
| Luo S [ | Single center | 1141 | China | 53.8 (mean) | ||
| Wang D [ | Single Center | 138 | China | 56 (median) | 75 | 63 |
| Huang C [ | Single Center | 41 | China | 49 (median) | 30 | 11 |
| Wang Z [ | Single Center | 69 | China | 42 (median) | 32 | 37 |
| Chen N [ | Single Center | 99 | China | 55.5 (mean) | 67 | 32 |
| Wu J [ | Multicenter | 80 | China | 46.1 (mean) | 39 | 41 |
| Shi H [ | Multicenter | 81 | China | 49.5 (mean) | 42 | 39 |
| Yang X [ | Single Center | 52 | China | 59.7 (mean) | 35 | 17 |
| Mo P [ | Single Center | 155 | China | 54 (median) | 86 | 69 |
| Zhou F [ | Multicenter | 191 | China | 56 (median) | 119 | 72 |
| Chang D [ | Multicenter | 13 | China | 34(median) | 10 | 3 |
| Liu K [ | Multicenter | 137 | China | 57 (median) | 61 | 76 |
| Cai Q [ | Single Center | 298 | China | 47(median) | 149 | 149 |
| Fan Z [ | Single Center | 148 | China | 50.5(median) | 73 | 75 |
| Xu X-W [ | Multicenter | 62 | China | 41(median) | 35 | 27 |
| Zhang B [ | Single Center | 82 | China | 72.5(median) | 54 | 28 |
| Huang Y [ | Single Center | 36 | China | 69.22 (mean) | 25 | 11 |
| Wei X [ | Single Center | 20 | China | N/A | 13 | 7 |
| Song F [ | Single Center | 51 | China | 49 (median) | 25 | 26 |
| Xiao F [ | Single Center | 73 | China | N/A | 41 | 32 |
| Cholankeril G [ | Single Center | 116 | USA | 50 (median) | 62 | 54 |
| Tabata S [ | Cruise Ship | 104 | Japan | 68 (median) | 54 | 50 |
| Kluytmans M [ | Multicenter | 86 | Netherlands | 49 (median) | 15 | 71 |
| Hajifathalian K [ | Multicenter | 1059 | USA | 61 (Median) | 611 | 448 |
| Gritti G [ | Single center | 21 | Italy | 64 (Median) | 18 | 3 |
| Goyal [ | Multicenter | 393 | USA | 62 (median) | 238 | 155 |
| Siso [ | Multicenter | 322 | Spain | 56.7 (Mean) | 161 | 161 |
| Remes-Troche [ | Single Center | 112 | Mexico | 43.7 (Mean) | 81 | 31 |
| Redd W [ | Multicenter | 318 | USA | 63.4 (Mean) | 174 | 144 |
| Total = 8407 |
Prevalence of GI symptoms in multiple studies
| Study name | Sample size | GI symptom N (%) | Loss of appetite | Nausea/ Vomiting | Abdominal pain | Diarrhea | Deranged LFT | |
|---|---|---|---|---|---|---|---|---|
| Guan W | 1099 | 55 | 5.00% | N/A | 55 | N/A | 42 | 168 |
| Young B | 18 | 3 | 16.67% | N/A | N/A | N/A | 3 | N/A |
| Pan L | 204 | 103 | 50.49% | 81 | 4 | 2 | 35 | N/A |
| Han C | 206 | 117 | 56.80% | 102 | 24 | 9 | 67 | N/A |
| Zhang JJ | 140 | 55 | 39.29% | 17 | 31 | 8 | 18 | N/A |
| Jin X | 651 | 74 | 11.37% | N/A | 21 | N/A | 53 | N/A |
| Nobel Y | 278 | 97 | 34.89% | N/A | 63 | N/A | 56 | N/A |
| Zhou Z | 254 | 66 | 25.98% | N/A | 36 | 3 | 46 | N/A |
| Cheung K | 59 | 15 | 25.42% | N/A | 1 | 7 | 13 | N/A |
| Luo S | 1141 | 183 | 16.04% | N/A | 134 | 45 | 68 | N/A |
| Wang D | 138 | 55 | 39.86% | 55 | 14 | 3 | 14 | N/A |
| Huang C | 38 | 1 | 2.63% | N/A | N/A | N/A | 1 | 15 |
| Wang Z | 69 | 10 | 14.49% | 7 | 3 | N/A | 10 | 42 |
| Chen N | 99 | 2 | 2.02% | N/A | 1 | N/A | 2 | 43 |
| Wu J | 80 | 3 | 3.75% | N/A | 1 | N/A | 1 | 6 |
| Shi H | 81 | 4 | 4.94% | 1 | 4 | N/A | 3 | 43 |
| Yang X | 52 | 2 | 3.85% | N/A | 2 | N/A | N/A | N/A |
| Mo | 155 | 7 | 4.52% | 26 | 3 | 3 | 7 | N/A |
| Zhou F | 191 | 9 | 4.71% | N/A | 7 | N/A | 9 | 59 |
| Chang D | 13 | 1 | 7.69% | N/A | N/A | N/A | 1 | N/A |
| Liu K | 137 | 11 | 8.03% | N/A | N/A | N/A | 11 | N/A |
| Cai Q | 298 | 9 | 3.02% | N/A | N/A | N/A | 9 | 44 |
| Fan Z | 148 | 6 | 4.05% | N/A | 3 | N/A | 6 | 75 |
| Xu X-W | 62 | 3 | 4.84% | N/A | N/A | N/A | 3 | 10 |
| Zhang B | 82 | 10 | 12.20% | N/A | 2 | N/A | 10 | 64 |
| Huang Y | 36 | 3 | 8.33% | N/A | N/A | N/A | 3 | N/A |
| Wei X | 20 | 3 | 15.00% | N/A | 2 | N/A | 3 | N/A |
| Song F | 51 | 9 | 17.65% | 9 | 3 | N/A | 5 | N/A |
| Xiao F | 73 | 26 | 35.62% | N/A | N/A | N/A | 26 | N/A |
| Cholankeril G | 116 | 37 | 31.90% | 22 | 12 | 10 | 12 | 26 |
| Tabata S | 104 | 10 | 9.62% | N/A | N/A | N/A | 10 | 9 |
| Kluytmans M | 86 | 16 | 18.60% | 16 | N/A | 5 | 16 | N/A |
| Hajifathalian K | 1059 | 259 | 24.46% | 240 | 259 | 72 | 234 | N/A |
| Gritti G | 21 | 5 | 23.81% | 2 | N/A | N/A | 5 | N/A |
| Goyal | 393 | 93 | 23.66% | N/A | 75 | N/A | 93 | 173 |
| Siso | 322 | 74 | 22.98% | N/A | N/A | N/A | 74 | N/A |
| Remes-Troche | 112 | 23 | 20.54% | N/A | 8 | 11 | 20 | 20 |
| Redd W | 318 | 195 | 61.32% | 110 | 133 | 46 | 107 | N/A |
Pooled data
GI symptom: 15.47% (95% CI 11.76–20.09, I2 = 96.00)
Nausea/ vomiting: 7.53% (95% CI 5.27–10.65, I2 = 95.03)
Diarrhea: 11.52% (95% CI 8.97–14.68, I2 = 93.07)
Prevalence of diarrhea in severe and non-severe cases
| Non severe | Severe | |||
|---|---|---|---|---|
| Diarrhea | Total cases | Diarrhea | Total cases | |
| Guan W | 32 | 926 | 10 | 173 |
| Young B | 3 | 12 | 0 | 6 |
| Zhang JJ | 9 | 82 | 9 | 57 |
| Nobel Y | 42 | 207 | 11 | 44 |
| Wang D | 8 | 102 | 6 | 36 |
| Huang C | 0 | 13 | 1 | 25 |
| Wang Z | 8 | 55 | 2 | 14 |
| Cai Q | 5 | 240 | 4 | 58 |
| Tabata S | 7 | 114 | 3 | 28 |
| N= | 114 | 1751 | 46 | 441 |
(OR 1.63, 95% CI 1.11–2.38, p = 0.01)
Fig. 1Forest plot of studies with odds ratio
Fig. 2Funnel plot depicting publication bias