Literature DB >> 32199880

Effect of Gastrointestinal Symptoms in Patients With COVID-19.

Zili Zhou1, Ning Zhao1, Yan Shu2, Shengbo Han1, Bin Chen3, Xiaogang Shu4.   

Abstract

Entities:  

Keywords:  Acute Respiratory Disease; COVID-19; China; Gastrointestinal Symptoms

Mesh:

Year:  2020        PMID: 32199880      PMCID: PMC7270807          DOI: 10.1053/j.gastro.2020.03.020

Source DB:  PubMed          Journal:  Gastroenterology        ISSN: 0016-5085            Impact factor:   22.682


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See Covering the Cover synopsis on page 2019. Because of accumulating evidence pointing to continuous person-to-person transmission of coronavirus disease 2019 (COVID-19) in hospital and family settings, , the World Health Organization has recently declared COVID-19 a public health emergency of international concern. Fever and respiratory symptoms tend to be initial and major, whereas gastrointestinal (GI) symptoms were also observed in a significant portion of patients. Positive findings of reverse transcription polymerase chain reaction further showed that COVID-19 may spread by fecal-oral transmission. In addition, recent studies have shown that the receptor of ACE2, which is essential for cells infected by COVID-19, is highly expressed not only in lung AT2 cells but also in absorptive enterocytes in the ileum and colon. , These results further confirmed that the digestive system may be a potential route for COVID-19 infection. Therefore, a study exploring the correlation between GI symptoms and patients’ symptoms, diagnosis, treatment, and outcomes is of great importance to improve the diagnosis and treatment plan of novel coronavirusinfected pneumonia (NCIP).

Materials and Methods

Study Design

According to the clinical diagnostic standards in the “Diagnosis and Treatment of NCIP” issued by the National Health Commission of the People’s Republic of China, suspected infected patients with clinical features of pneumonia could be regarded as clinically confirmed patients. The central hospital of Wuhan is one of the first major hospitals designated by the government to treat patients with NCIP. We enrolled 254 patients clinically confirmed with NCIP from December 20, 2019, through February 9, 2020. Medical staff and nonmedical staff are counted separately. Based on whether they had GI symptoms, patients were divided into GI symptom and non–GI symptom groups. The clinical characteristics, laboratory findings, complications, treatment process, and clinical outcomes were compared between the patients with or without GI symptoms.

Data Collection

The epidemiologic, clinical, laboratory, and radiologic characteristics and treatment outcome data were obtained from medical records. All these data were reviewed by a group of experienced doctors. The recorded information includes medical history, symptoms, signs, potential comorbidities, laboratory findings, and treatment measures.

Statistical Analysis

Categorical variables are described by frequency and percentages, and continuous variables are described by the mean, median, and interquartile range. Patient characteristics were compared by using t tests for continuous variables and chi-squared or Fisher exact tests for categorical variables. All statistical analyses were performed using SPSS, version 23.0, software (SPSS, Chicago, IL). P ≤ .05 was considered statistically significant.

Results

As outlined in Table 1 , this study recruited 254 clinically confirmed patients with NCIP (115 males and 139 females; mean age, 50.6 years; range, 15–87 years), including 93 medical staff and 161 nonmedical staff. Among all patients, 211 (83%), 98 (38.6%), and 66 (26%) complained of fever, cough, and GI symptoms, respectively. The most common complication was pneumonia (209; 82.3%), followed by arrhythmia (16; 0.06%) and shock (7; 0.03%). Patients receiving mechanical ventilation, antibiotics, antivirals, immunoglobulins, hormones, and extracorporeal membrane oxygenation (ECMO) treatment accounted for 7.09%, 97.6%, 75.6%, 59.8%, 88.2%, and 0.008% of the total patients, respectively. At of the end of observation, 46 patients were discharged, 16 died, and 192 continued treatment.
Table 1

Clinical Features, Treatment and Prognosis of Patients Infected With 2019-nCoV

Total (N = 254)Medical staff
Nonmedical staff
Total (n = 93)GI symptoms (n = 23)Non-GI symptoms (n = 70)P valueTotal (n = 161)GI symptoms (n = 43)Non-GI symptoms (n = 118)P value
GI symptoms, n (%)66 (26.0)2323 (100)0 (0)4343 (100)0 (0)
Abdominal pain3 (1.2)00 (0)0 (0)33 (7.0)0 (0)
Vomiting15 (5.9)11 (4.3)0 (0)1414 (32.6)0 (0)
Diarrhea46 (18.1)1919 (82.6)0 (0)2727 (62.8)0 (0)
Nausea21 (8.3)55 (21.7)0 (0)1616 (37.2)0 (0)
Age, y, median (IQR)50 (36–65)36 (31–41)35 (30–40)36 (31–42).61462 (49–69)61 (49–67)62 (49–70).615
Sex, n (%).45.033
 Male115 (45.3)326 (26)26 (37)8316 (37)67 (57)
 Female139 (54.7)6117 (74)44 (63)7827 (63)51 (43)
Symptom, n (%)
 Fever213 (83.9)8019 (83)61 (87).72913339 (91)94 (80).157
 Sore throat16 (6.3)60 (0)6 (9).33106 (14)4 (3).023
 Dry cough98 (38.6)417 (30)34 (49).1525714 (33)43 (36).712
 Expectoration107 (42.1)316 (26)25 (36).4547617 (40)59 (50).286
 Chest tightness67 (26.4)213 (13)18 (26).261468 (19)38 (32).115
 Dyspnea10 (3.9)21 (4)1 (1).43582 (5)6 (5)> .99
 Dizziness18 (7.1)104 (17)6 (9).25685 (12)3 (3).032
 Headache28 (11.0)173 (13)14 (20).549113 (7)8 (7)> .99
 Fatigue133 (52.4)5212 (52)40 (57).8098129 (67)52 (44).012
 Myalgia86 (33.9)4110 (44)31 (44)> .994517 (40)28 (24).073
Sign, median (IQR)
 MAP, mm Hg92 (85–96)90 (85–96)88 (83–98)92 (87–96).25293 (85–98)90 (85–98)93 (86–97).075
 HR, beats/min85 (79–98)84 (80–100)82 (76–103)87 (80–100).30285 (78–98)86 (78–98)85 (78–98).902
Comorbidities, n (%)
 Hypertension63 (24.8)60 (0)6 (9).335714 (33)43 (36).712
 DM26 (10.2)30 (0)3 (4).572234 (9)19 (16).321
 CHD17 (6.7)20 (0)2 (3)> .99156 (14)9 (8).231
 Malignancy2 (0.8)10 (0)1 (1)> .9910 (0)1 (1)> .99
 CKD0 (0)00 (0)0 (0)00 (0)0 (0)
 CVD13 (5.1)10 (0)1 (1)> .99123 (7)9 (8)> .99
 CLD3 (1.2)10 (0)1 (1)> .9920 (0)2 (2)> .99
 COPD6 (2.4)10 (0)1 (1)> .9952 (5)3 (3).61
 HIV infection1 (0.4)00 (0)0 (0)11 (2)0 (0).267
Laboratory findings
 HB, g/L112 (109.5–111)120.2 (112.5–127).104116.7 (106–127)133 (114–141).028
 WBC, ×10^9/L5.5 (2.6–9.2)5.6 (3.2–6.5).9625.9 (3.5–6.3)5.5 (3.3–6.7).708
 Neutrophil, ×10^9/L5.1 (1.3–7.2)5 (1.5–8).9685.9 (1.7–9.9)7.6 (2.3–7.7).604
 LYM, ×10^9/L1.1 (0.7–1.2)1 (0.8–1.1).5241 (0.7–1.1)0.8 (0.7–0.9).108
 PLT, ×10^9/L223 (86–408)184 (88–237).653192 (111–248)176 (112–186).842
 CRP, mg/dL2.2 (0.7–2.6)3 (1–2.5).4917.3 (2.9–6.6)3.8 (1.8–5.8).021
 ALT, U/L65.9 (23.3–103.3)75.6 (44.5–114.8).69864.1 (51.2–64.4)46.6 (31.9–61.2).049
 AST, U/L26.4 (12.7–45.5)40.4 (12.9–65.3).27147.8 (18.2–50.6)53.8 (35.7–58.5).44
 Albumin, g/L35.2 (34.5–38.1)36.7 (34.7–38.7).32735.4 (33.9–36.4)35 (32.8–37.8).648
 Globulin, g/L39.7 (37.6–42)38.7 (30.7–43.8).76626.1 (22.7–29.4)28.9 (25.3–31.6).185
 LDH, U/L156.2 (103–194.8)289 (229–370.3).069358.9 (256–425)312.5 (251.5–335).322
 CK, U/L29.8 (15.8–35)398.5 (28.1–587.3).143316.3 (86–276.5)201.3 (77.8–294.5).359
 Creatinine, μmol/L68 (64.2–75.5)67.6 (73.2–79.3).98156.9 (43.9–72.1)70.1 (43.8–95.9).217
 FBG, mmol/L8 (6.2–8.7)7.7 (6.5–8.1).7877.3 (6.3–8.2)8.3 (6.3–9.5).106
 Na+, mmol/L142.6 (139.3–145.8)134.2 (131–136.4).05138.9 (134.8–141.9)139.3 (135–145.4).88
 K+, mmol/L3.9 (3.3–4)4 (3.2–4.5).9343.3 (3.1–3.5)9.1 (3.2–4).052
 PH7.4 (7.4–7.5)7.5 (7.4–7.5).4857.4 (7.5–7.5)7.4 (7.4–7.5).9
 Sao2, mmHg91 (97–99)92 (91–99).96293 (92–94)92 (91–97).796
 Pao2, mmHg74 (62–85)109 (52–151).25684 (65–105)86 (62–113).809
 Paco2, mmHg42 (33–51)35 (31–39).26335 (31–36)35 (31–35).777
Complications, n (%)
 Pneumonia209 (82.3)7018 (78.3)52 (74.3).78713938 (88.4)101 (85.6).798
 Shock7 (2.8)20 (0)2 (2.9)> .9951 (2.3)4 (3.4)> .99
 AHF6 (2.4)11 (4.3)0 (0).24750 (0)5 (4.2).326
 Arrhythmia16 (6.3)122 (8.7)10 (14.3).72441 (2.3)3 (2.5)> .99
 ARDS5 (2)21 (4.3)1 (1.4).43531 (2.3)2 (1.7)> .99
Treatment
 MV18 (7)51 (4.3)4 (5.7)> .99132 (4.7)11 (9.3).516
 Antibiotics248 (97.6)9123 (100)68 (97.1)> .9915742 (97.7)115 (97.5)> .99
 Antivirals192 (75.6)6316 (69.6)47 (67.1)> .9912931 (72.1)98 (83.1).179
 Immunoglobulins152 (59.8)6219 (82.6)43 (61.4).079028 (65.1)62 (52.5).209
 Hormones224 (88.2)7720 (86.9)57 (81.4).7514737 (86)110 (93.2).204
 ECMO2 (0.8)21 (4.3)1 (1.4).43500 (0)0 (0)
Clinical outcome
 Discharge from hospital46 (18.1)324 (17.4)28 (40).075144 (9.3)10 (8.5)> .99
 Staying in hospital192 (75.6)5918 (78.3)41 (58.6).13413336 (83.7)97 (82.2)> .99
 Death16 (6.3)21 (4.3)1 (1.43).435143 (7)11 (9.3).457

AHF, acute heart failure; ALT, alanine aminotransferase; ARDS, acute respiratory distress syndrome; AST, aspartate transaminase; CHD, coronary heart disease; CK, creatine kinase; CKD, chronic kidney disease; CLD, chronic liver disease; COPD, chronic obstructive pulmonary disease; CRP, C-reaction protein; CVD, cerebrovascular disease; DM, diabetes mellitus; ECMO, extracorporeal membrane oxygenation; FBG, fasting blood glucose; HB, hemoglobin; HR, heart rate; LDH, lactate dehydrogenase; LYM, lymphocyte count; MAP, mean arterial pressure; MV, mechanical ventilation; nCoV, novel coronavirus; PLT, platelet count; WBC, blood leukocyte count.

Clinical Features, Treatment and Prognosis of Patients Infected With 2019-nCoV AHF, acute heart failure; ALT, alanine aminotransferase; ARDS, acute respiratory distress syndrome; AST, aspartate transaminase; CHD, coronary heart disease; CK, creatine kinase; CKD, chronic kidney disease; CLD, chronic liver disease; COPD, chronic obstructive pulmonary disease; CRP, C-reaction protein; CVD, cerebrovascular disease; DM, diabetes mellitus; ECMO, extracorporeal membrane oxygenation; FBG, fasting blood glucose; HB, hemoglobin; HR, heart rate; LDH, lactate dehydrogenase; LYM, lymphocyte count; MAP, mean arterial pressure; MV, mechanical ventilation; nCoV, novel coronavirus; PLT, platelet count; WBC, blood leukocyte count. Among nonmedical staff, the proportion of GI symptoms in female patients was significantly higher than in male patients (62.8% vs 37.2%; P = .033). Clinical manifestations such as sore throat (P = .023), dizziness (P = .032), and fatigue (P = .012) were also more frequent in patients with GI symptoms. In addition, hemoglobin level in the GI symptom group was significantly lower than in the non–GI symptom group (116.7 [range, 106–127]g/L vs 133 [114-141]g/L, respectively; P = .028), whereas C-reactive protein (7.3 [range, 2.9–6.6]mg/dL vs 3.8 [range, 1.8–5.8]mg/dL, respectively; P = .021) and alanine aminotransferase (64.1 [51.2-64.4]U/L vs 46.6 [31.9-61.2]U/L, respectively; P = 0.049) levels were significantly higher than in the GI symptoms group. However, GI symptoms among medical staff were not significantly correlated with symptoms and laboratory findings. Finally, the GI symptom group appeared to have a similar rate of complications, treatment, and clinical prognosis as the non–GI symptom group among medical and nonmedical staff.

Discussion

The study suggests that GI symptoms are common clinical symptoms in patients with NCIP. Among nonmedical staff, women are more likely to have GI symptoms, accompanied by higher inflammatory levels and poorer liver function. However, no significant correlation between GI symptoms and clinical features was observed among medical staff. In addition, the clinical outcome and treatment of patients with NCIP were not associated with GI symptoms in either medical or nonmedical staff. A possible explanation for nonmedical staff with GI symptoms being more likely to have more symptoms and poorer liver function is the changes in the intestinal microecology under the dysfunction of the central nervous system. The infection of COVID-19 in intestinal tissues may lead to GI symptoms, such as diarrhea and abdominal pain. Metabolic disorders increase the absorption of harmful metabolites, which will affect the function of the central nervous system through the gut-brain axis and then lead to dizziness and fatigue. Disorders of intestinal metabolism further lead to more harmful metabolites that are harmful to liver tissue. The reason why medical staff are less susceptible to GI symptoms may be that most of the infected medical staff were younger nurses without comorbidities. In addition, there is less delay from the onset of symptoms to hospital admission. Taking these factors into consideration, we can hypothesize that most of the medical staff infected by COVID-19 had mild symptoms on the day of hospital admission. There are also some deficiencies in this study. First, the standard diagnosis of patients with NCIP is based on nucleic acid testing, but most cases in our study are clinically confirmed patients, which will inevitably lead to several patients without NCIP being included. Second, most patients were still hospitalized at the time of submission. Therefore, it is difficult to further assess the correlation between GI symptoms and clinical outcomes.
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