Literature DB >> 32389667

Gastrointestinal and Hepatic Manifestations of 2019 Novel Coronavirus Disease in a Large Cohort of Infected Patients From New York: Clinical Implications.

Kaveh Hajifathalian1, Tibor Krisko1, Amit Mehta1, Sonal Kumar1, Robert Schwartz1, Brett Fortune1, Reem Z Sharaiha2.   

Abstract

Entities:  

Keywords:  CI, confidence interval; COVID-19, coronavirus disease 2019; GI, gastrointestinal; ICU, intensive care unit; OR, odds ratio

Mesh:

Year:  2020        PMID: 32389667      PMCID: PMC7205652          DOI: 10.1053/j.gastro.2020.05.010

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


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Recent reports suggest that prevalence of gastrointestinal (GI) and hepatic manifestations in COVID-19 are higher than initially reported, particularly in Western populations. New York City has arguably been the epicenter of the COVID-19 pandemic in the United States, creating a unique opportunity to further the understanding of this disease. Our objectives were to investigate the prevalence of GI and hepatic manifestations of patients with COVID-19, and explore their effect on the clinical outcomes in these patients.

Methods

This is a retrospective review of consecutive adult patients (age ≥18) with a positive real-time reverse-transcription polymerase chain reaction test for severe acute respiratory syndrome coronavirus 2 recorded between March 4 and April 9, 2020, at 1 of our 2 hospitals in Manhattan (an academic tertiary referral center and a smaller community hospital). The history, laboratory data, and outcome measures were extracted from patients’ medical records, using an structured abstraction tool. All vital signs and laboratory data were collected at presentation. "GI manifestation" was defined as presence of nausea, vomiting, diarrhea, or abdominal pain. Patients were considered to have indication of liver injury at presentation if they had elevated alanine aminotransferase, aspartate aminotransferase, total bilirubin, or alkaline phosphatase. The primary clinical outcome for admitted patients was defined as a composite of intensive care unit (ICU) admission or death (details of methods are available in the supplementary material).

Results

A total of 1059 patients diagnosed with COVID-19 with a mean age of 61 (SD 18) years (58% male) were included in the study (Table 1 ). At presentation, 22% of patients had diarrhea, 7% had abdominal pain, and 16% and 9% had nausea and vomiting, respectively; 33% of patients had at least 1 GI manifestation. At presentation, patients had a mean alanine aminotransferase of 50 (65), mean aspartate aminotransferase of 60 (79) U/L, mean total bilirubin 0.7 (0.6) mg/dL, and mean alkaline phosphatase of 88 (74) U/L; 62% of the patients had biochemical evidence of liver injury with at least 1 of their liver enzymes elevated.
Table 1

Demographic, Laboratory, and Cinical Findings of Patients With COVID-19 at Presentation

VariableTotal, n = 1059Outpatient, n = 291Inpatient, n = 768P
Age, y61.1 (18.3)51.6 (17.8)64.7 (17.1).000
Diagnostic delay, da7.4 (6.1)7.2 (8.2)7.5 (5.3).526
Body mass index, kg/m228.8 (8.3)28.2 (8.2)29 (8.3).368
Male611 (57.7)145 (49.8)466 (60.7).001
Race/ethnicity.119
White/Caucasian352 (45)106 (46)246 (44)
Black/African American136 (17)48 (21)88 (15)
Asian106 (13)28 (12)78 (14)
Other198 (25)47 (21)151 (27)
Preexisting comorbidities
 Hypertension506 (47.8)90 (30.9)416 (54.2).000
 Diabetes274 (25.9)43 (14.8)231 (30.1).000
 Chronic kidney disease131 (12.4)21 (7.2)110 (14.3).002
 Cardio-vascular disease193 (18.2)32 (11)161 (21).000
 COPD/Asthma123 (11.6)27 (9.3)96 (12.5).146
 Obstructive sleep apnea46 (4.3)6 (2.1)40 (5.2).031
 VTE68 (6.4)8 (2.7)60 (7.8).004
 Cancer120 (11.3)24 (8.2)96 (12.5).053
 IBD17 (1.6)2 (0.7)15 (2).162
 Chronic liver disease32 (3)8 (2.7)24 (3.1).750
 Solid organ transplantation26 (2.5)2 (0.7)24 (3.1).037
Vital signs
 fever253 (26.8)58 (26.7)195 (26.8).987
 Respiratory rate20.6 (5.4)18.7 (4.1)21.1 (5.6).000
 Heart rate94.2 (18.9)93.9 (17.1)94.3 (19.5).762
 Mean arterial pressure, mm Hg93.5 (14.4)95.1 (15)93 (14.2).062
Hypoxia on presentation.000
 No150 (71)250 (35)
 Moderate48 (23)236 (33)
 Severe14 (7)230 (32)
Symptoms
 Fever717 (67.7)187 (64.3)530 (69).140
 Cough682 (64.4)179 (61.5)503 (65.5).227
 Shortness of breath625 (59)119 (40.9)506 (65.9).000
 Myalgia/fatigue300 (28.3)89 (30.6)211 (27.5).316
 Anorexia240 (22.7)50 (17.2)190 (24.7).009
 Altered mental status135 (12.7)21 (7.2)114 (14.8).001
 Nausea168 (15.9)45 (15.5)123 (16).826
 Vomiting91 (8.6)24 (8.2)67 (8.7).805
 Diarrhea234 (22.1)47 (16.2)187 (24.3).004
 Abdominal pain72 (6.8)16 (5.5)56 (7.3).302
 Anosmia51 (4.8)21 (7.2)30 (3.9).027
 Dysgeusia57 (5.4)20 (6.9)37 (4.8).188
 Anticoagulant168 (15.9)22 (7.6)146 (19).000
 Aspirin124 (11.7)17 (5.8)107 (13.9).000
 NSAIDs119 (11.2)22 (7.6)97 (12.6).021
 Chronic steroids41 (3.9)3 (1)38 (4.9).008
 Immunosuppressant34 (3.2)4 (1.4)30 (3.9).046
 statin307 (29)46 (15.8)261 (34).000
Laboratory findings
 White blood cell count, × 1037.6 (6.1)6.1 (2.5)8 (6.6).000
 Absolute lymphocyte count, × 1031.3 (2.8)1.6 (3.9)1.3 (2.5).163
 Absolute neutrophil count, × 1037.9 (12.7)6.6 (11.9)8.2 (12.8).141
 Platelet count, × 103214.5 (100.2)201.9 (89.9)217.4 (102.2).074
 Procalcitonin, ng/mL1 (5.5)0.4 (1.5)1.1 (5.9).219
 D-dimer, ng/mL1800.2 (5046.7)926.6 (2277.1)1901.4 (5266.7).201
 C-reactive protein, mg/dL14.8 (13.5)8.2 (9.4)15.8 (13.8).000
 Erythrocyte sedimentation rate, mm/hr69.7 (33.6)50.8 (31.4)72.2 (33.2).000
 Lactate dehydrogenase, U/L497.2 (939.6)357.6 (179.1)518.9 (1006).139
 Ferritin, ng/mL1259.6 (2081.9)841.9 (1495.2)1314.9 (2142.7).088
 Troponin I, ng/mL0.9 (17.4)0.1 (0.2)1 (18.7).658
 Creatine kinase, U/L355.4 (739.4)216.2 (274.3)369.8 (770.5).211
 IL-6, pg/mL81 (151.9)6 (1.7)83.9 (154.2).387
 Albumin, g/dL3.3 (0.6)3.6 (0.7)3.2 (0.6).000
 Total bilirubin, mg/dL0.7 (0.6)0.6 (0.3)0.7 (0.6).017
 ALT, U/L49.5 (64.9)42.2 (48.3)51 (67.7).142
 AST, U/L59.5 (78.5)46.4 (56.2)62.1 (82.1).030
 Alkaline phosphatase, U/L88.1 (74.1)82.7 (49.6)89.2 (78.2).342
 INR1.3 (0.8)1.4 (1.3)1.3 (0.7).286
 aPTT, s30.5 (14.8)28.4 (10.5)30.8 (15.3).182

NOTE. Data are mean (SD), n (%), or n/N (%). P values were calculated using Student t and χ2 tests.

ALT, alanine aminotransferase; aPTT, activated partial thromboplastin time; AST, aspartate aminotransferase; COPD, chronic obstructive pulmonary disease; IBD, inflammatory bowel disease; IL, interleukin; INR, international normalized ratio; NSAID, nonsteroidal anti-inflammatory drug; VTE, venous thromboembolism.

Diagnostic delay defined as time between first symptom and performing the first COVID-19 polymerase chain reaction test.

Demographic, Laboratory, and Cinical Findings of Patients With COVID-19 at Presentation NOTE. Data are mean (SD), n (%), or n/N (%). P values were calculated using Student t and χ2 tests. ALT, alanine aminotransferase; aPTT, activated partial thromboplastin time; AST, aspartate aminotransferase; COPD, chronic obstructive pulmonary disease; IBD, inflammatory bowel disease; IL, interleukin; INR, international normalized ratio; NSAID, nonsteroidal anti-inflammatory drug; VTE, venous thromboembolism. Diagnostic delay defined as time between first symptom and performing the first COVID-19 polymerase chain reaction test. In multivariable analysis of the effect of gender, age, preexisting immunosuppression, inflammatory bowel disease, or chronic liver disease on presence of GI manifestation or liver injury, female patients (odds ratio [OR] 1.30, 95% confidence interval [CI] 1.01–1.69, P = .048), and patients with chronic liver disease (OR 2.18, 95% CI 1.08–4.44, P = .031) were more likely to present with GI symptoms; however, age, immunosuppression, and inflammatory bowel disease were not associated with GI symptoms at presentation. Only older age was significantly associated with higher rate of liver test abnormalities at presentation (OR 1.01, 95% CI 1.00–1,02, P = .031). Both GI manifestations (78% vs 70% for patients without GI symptoms, P = .007) and liver injury (87% vs 76% for patients without liver injury, P < .001) on presentation were associated with higher admission rate. Those with GI symptoms had lower rates of death (8.5% vs 16.5% in patients without GI symptoms, P = .003), and lower risk of the composite of death and ICU admission (28% versus 38% in patients without GI symptoms, P = .006) in univariable analysis. In multivariable analysis, liver injury at presentation (OR 2.53, P < .001), as well as older age (OR 1.03, P < .001), number of comorbidities (OR 1.19, P = .021), tachypnea (OR 1.73, P = .008) and severe hypoxia (OR 1.47, P = .047) remained independent predictors of the composite outcome of death or ICU admissions in patients admitted with COVID-19, but GI manifestations did not have any significant effect on the outcome (Supplementary Table 1).
Supplementary Table 1

Risk Factors for the Composite Outcome of Death or ICU Admission in Patients Admitted With COVID-19

Univariable
Multivariable
OR (95% CI)POR (95% CI)P
Risk factors
Age1.027 (1.017–1.037).0001.029 (1.013–1.044).000
Male gender1.442 (1.046–1.988).0261.264 (0.818–1.954).291
BMI1.011 (0.99–1.033).315
Race/ethnicity
 White/CaucasianReference
 Black/African-American0.545 (0.304–0.973).0400.569 (0.285–1.138).111
 Asian1.629 (0.966–2.749).0671.542 (0.835–2.845).166
 Other0.704 (0.449–1.106).1280.962 (0.563–1.646).888
GI manifestation at presentation0.629 (0.453–0.873).0060.766 (0.487–1.204).248
Liver injury at presentation2.2 (1.549–3.124).0002.533 (1.591–4.032).000
Preexisting comorbidities
Number of preexisting comorbidities1.194 (1.076–1.324).0011.192 (1.026–1.384).021
 IBD0.473 (0.132–1.694).250
 Chronic liver disease0.784 (0.321–1.917).594
 Solid organ transplantation1.024 (0.428–2.45).957
 Hypertension1.629 (1.188–2.233).002
 Diabetes1.375 (0.991–1.908).057
 Chronic kidney disease1.174 (0.767–1.797).460
 Cardiovascular disease1.919 (1.339–2.75).000
 COPD/Asthma1.224 (0.782–1.915).376
 Obstructive sleep apnea2.354 (1.23–4.506).010
 VTE1.523 (0.891–2.601).124
 Cancer0.92 (0.581–1.456).721
Vital signs at presentation
 Fever1.316 (0.93–1.86).121
 Respiratory ratea2.612 (1.933–3.532).0001.733 (1.152–2.607).008
 Heart ratea1.119 (1.033–1.212).0061.108 (0.989–1.242).077
 Mean arterial pressure, mm Hga0.941 (0.843–1.05).273
Hypoxia on presentation
 NoReference
 Moderate1.224 (0.817–1.832).3270.901 (0.528–1.538).704
 Severe2.847 (1.928–4.206).0001.678 (0.984–2.861).047
Laboratory findings
 White blood cell count, × 1031.039 (1.004–1.076).031
 Absolute lymphocyte count, × 1031.033 (0.97–1.1).314
 Absolute neutrophil count, × 1031.031 (1.014–1.049).000
 Platelet count, × 1030.999 (0.998–1.001).309
 ALT, U/La1.007 (0.984–1.03).550
 AST, U/La1.034 (1.007–1.062).015
 Alkaline phosphatase, U/La1 (0.981–1.021).962
 Total bilirubin, mg/dL1.411 (1.044–1.907).025
 Albumin, g/dL0.744 (0.577–0.96).023
 Procalcitonin, ng/mLa1.084 (0.828–1.419).557
 D-dimer, ng/mLb1.006 (1.002–1.011).005
 C reactive protein, mg/dL1.018 (1.005–1.031).008
 Lactate dehydrogenase, U/Lb1.293 (1.182–1.414).000
 Ferritin, ng/mLb1.015 (1.003–1.026).015
 Troponin I, ng/mL0.995 (0.977–1.014).605
 Creatine kinase, U/Lb1.029 (0.999–1.061).059
 IL-6, pg/mL1.003 (0.998–1.007).233

NOTE. Values in bold indicate significance.

ALT, alanine aminotransferase; aPTT, activated partial thromboplastin time; AST, aspartate aminotransferase; CI, confidence interval; COPD, chronic obstructive pulmonary disease; IBD, inflammatory bowel disease; IL, interleukin; INR, international normalized ratio; NSAID, nonsteroidal anti-inflammatory drug; OR, odds ratio; VTE, venous thromboembolism.

The OR is for 10 units change in the risk factor.

The OR is for 100 units change in the risk factor.

The independent predictors of the composite outcome of death or ICU admission from the multivariable model were then analyzed to find an optimal decision tree for splitting patients into low- and high-risk categories and predicting the composite outcome (Figure 1 ). The first node of the decision tree was hypoxia as the most informative predictor, followed by presence of liver injury as the second most informative predictor (second node) in patients with severe hypoxia.
Figure 1

Optimal decision tree for categorizing patients admitted for COVID-19 based on the predictors of the composite outcome of death or ICU admission.

Optimal decision tree for categorizing patients admitted for COVID-19 based on the predictors of the composite outcome of death or ICU admission.

Discussion

This analysis reveals a high prevalence of GI manifestations and liver injury (based on elevated liver enzymes) at presentation in COVID-19. Although both GI and hepatic manifestations were associated with increased admission rates, only liver injury at presentation was an independent predictor of ICU admission and death and ICU admission. Our results indicate that almost one-third of patients reported digestive issues, most commonly diarrhea. One potential explanation for the high rate of diarrhea seen may be related to the high affinity of severe acute respiratory syndrome coronavirus 2 for angiotensin-converting enzyme 2 receptor, and the abundant angiotensin-converting enzyme 2 expression on colonic and ileal epithelial cells. Prior studies suggest that the presence and severity of digestive symptoms on initial presentation was correlated with worsening disease severity. In contrast, we observed a trend for the presence of GI symptoms on initial presentation to be associated with less severe disease in univariable analysis (Supplementary Table 1), and no significant effect in multivariable analysis. This might be due to higher admission rates in patients with relatively mild respiratory involvement but significant GI symptoms. In our cohort, 62% presented with at least 1 elevated liver enzyme, similar to the available literature. We did not find the elevation of either total bilirubin or alkaline phosphatase to be common, and did not observe any cases of clinically significant acute liver injury or acute liver failure as a complication of COVID-19. The presence of liver injury on presentation, however, was associated with a significantly higher risk of ICU admission and death. High prevalence of liver injury in COVID-19 may be due to direct viral infection of liver cells; however, the pathology of hepatic injury in COVID-19 is likely multifactorial, and may include an indirect reflection of the systemic inflammatory response resulting in compromised vascular hemodynamics and immune hyperactivity and cytokine activation.5, 6, 7 In summary, we found that patients with COVID-19 commonly exhibit GI manifestations. Liver injury was also commonly seen on initial presentation, and was independently associated with poor clinical outcomes. These results provide clarification of the diagnosis of patients with COVID-19, and can be considered in risk stratification.
  7 in total

1.  [Management and clinical thinking of Coronavirus Disease 2019].

Authors:  K Ma; T Chen; M F Han; W Guo; Q Ning
Journal:  Zhonghua Gan Zang Bing Za Zhi       Date:  2020-03-03

2.  Prominent changes in blood coagulation of patients with SARS-CoV-2 infection.

Authors:  Huan Han; Lan Yang; Rui Liu; Fang Liu; Kai-Lang Wu; Jie Li; Xing-Hui Liu; Cheng-Liang Zhu
Journal:  Clin Chem Lab Med       Date:  2020-06-25       Impact factor: 3.694

Review 3.  COVID-19 patients' clinical characteristics, discharge rate, and fatality rate of meta-analysis.

Authors:  Long-Quan Li; Tian Huang; Yong-Qing Wang; Zheng-Ping Wang; Yuan Liang; Tao-Bi Huang; Hui-Yun Zhang; Weiming Sun; Yuping Wang
Journal:  J Med Virol       Date:  2020-03-23       Impact factor: 2.327

4.  Prevalence of venous thromboembolism in patients with severe novel coronavirus pneumonia.

Authors:  Songping Cui; Shuo Chen; Xiunan Li; Shi Liu; Feng Wang
Journal:  J Thromb Haemost       Date:  2020-05-06       Impact factor: 5.824

5.  Clinical characteristics of 113 deceased patients with coronavirus disease 2019: retrospective study.

Authors:  Tao Chen; Di Wu; Huilong Chen; Weiming Yan; Danlei Yang; Guang Chen; Ke Ma; Dong Xu; Haijing Yu; Hongwu Wang; Tao Wang; Wei Guo; Jia Chen; Chen Ding; Xiaoping Zhang; Jiaquan Huang; Meifang Han; Shusheng Li; Xiaoping Luo; Jianping Zhao; Qin Ning
Journal:  BMJ       Date:  2020-03-26

6.  Single-cell RNA-seq data analysis on the receptor ACE2 expression reveals the potential risk of different human organs vulnerable to 2019-nCoV infection.

Authors:  Xin Zou; Ke Chen; Jiawei Zou; Peiyi Han; Jie Hao; Zeguang Han
Journal:  Front Med       Date:  2020-03-12       Impact factor: 4.592

7.  Clinical Characteristics of COVID-19 Patients With Digestive Symptoms in Hubei, China: A Descriptive, Cross-Sectional, Multicenter Study.

Authors:  Lei Pan; Mi Mu; Pengcheng Yang; Yu Sun; Runsheng Wang; Junhong Yan; Pibao Li; Baoguang Hu; Jing Wang; Chao Hu; Yuan Jin; Xun Niu; Rongyu Ping; Yingzhen Du; Tianzhi Li; Guogang Xu; Qinyong Hu; Lei Tu
Journal:  Am J Gastroenterol       Date:  2020-05       Impact factor: 12.045

  7 in total
  67 in total

1.  Turkish IBD Organization's Position Statement on Inflammatory Bowel Disease Management Recommendations During COVID-19 Pandemic.

Authors:  Murat Törüner; İsmail Hakkı Kalkan; Filiz Akyüz; Ahmet Tezel; Aykut Ferhat Çelik
Journal:  Turk J Gastroenterol       Date:  2021-06       Impact factor: 1.852

Review 2.  SARS-CoV-2-associated gastrointestinal and liver diseases: what is known and what is needed to explore.

Authors:  Dina Sweed; Eman Abdelsameea; Esraa A Khalifa; Heba Abdallah; Heba Moaz; Inas Moaz; Shimaa Abdelsattar; Nadine Abdel-Rahman; Asmaa Mosbeh; Hussein A Elmahdy; Eman Sweed
Journal:  Egypt Liver J       Date:  2021-07-31

3.  An alternative to airborne droplet transmission route of SARS-CoV-2, the feco-oral route, as a factor shaping COVID-19 pandemic.

Authors:  Ryszard Targoński; Aleksandra Gąsecka; Adrian Prowancki; Radosław Targoński
Journal:  Med Hypotheses       Date:  2022-07-01       Impact factor: 4.411

4.  12-Month Post-Discharge Liver Function Test Abnormalities Among Patients With COVID-19: A Single-Center Prospective Cohort Study.

Authors:  Xuejiao Liao; Dapeng Li; Zhenghua Ma; Lina Zhang; Baoqi Zheng; Zhiyan Li; Guobao Li; Lei Liu; Zheng Zhang
Journal:  Front Cell Infect Microbiol       Date:  2022-04-14       Impact factor: 6.073

5.  Abnormal Liver Tests in COVID-19: A Retrospective Observational Cohort Study of 1,827 Patients in a Major U.S. Hospital Network.

Authors:  Melanie A Hundt; Yanhong Deng; Maria M Ciarleglio; Michael H Nathanson; Joseph K Lim
Journal:  Hepatology       Date:  2020-10       Impact factor: 17.298

6.  Transient immune hepatitis as post-coronavirus disease complication: A case report.

Authors:  Anca Cristina Drăgănescu; Oana Săndulescu; Anuța Bilașco; Camelia Kouris; Anca Streinu-Cercel; Monica Luminos; Adrian Streinu-Cercel
Journal:  World J Clin Cases       Date:  2021-06-06       Impact factor: 1.337

Review 7.  COVID-19 and gastroenteric manifestations.

Authors:  Zhang-Ren Chen; Jing Liu; Zhi-Guo Liao; Jian Zhou; Hong-Wei Peng; Fei Gong; Jin-Fang Hu; Ying Zhou
Journal:  World J Clin Cases       Date:  2021-07-06       Impact factor: 1.337

Review 8.  Remarkable gastrointestinal and liver manifestations of COVID-19: A clinical and radiologic overview.

Authors:  Li-Guang Fang; Quan Zhou
Journal:  World J Clin Cases       Date:  2021-07-06       Impact factor: 1.337

9.  Increased Serum Aminotransferase Activity and Clinical Outcomes in Coronavirus Disease 2019.

Authors:  Preethi Ramachandran; Abhilash Perisetti; Mahesh Gajendran; Abhishek Chakraborti; Joshua T Narh; Hemant Goyal
Journal:  J Clin Exp Hepatol       Date:  2020-06-30

Review 10.  Abnormal Liver Biochemistry Tests and Acute Liver Injury in COVID-19 Patients: Current Evidence and Potential Pathogenesis.

Authors:  Donovan A McGrowder; Fabian Miller; Melisa Anderson Cross; Lennox Anderson-Jackson; Sophia Bryan; Lowell Dilworth
Journal:  Diseases       Date:  2021-07-01
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