Multicenter analysis of clinical characteristics and outcomes in patients with COVID-19 who develop liver injury

Digestive symptoms and liver injury in patients with coronavirus disease 2019 (COVID-19): A systematic review with meta-analysis

Although most COVID-19 patients typically present with respiratory symptoms, many patients could experience digestive symptoms as the major complaint. We performed a systematic review and meta-analysis to investigate the exact prevalence of digestive symptoms and liver injury in COVID-19 patients and compare the difference between patients with and without digestive symptoms. PubMed, Embase, Ovid, Wanfang data, and CNKI were searched until 24 April 2020 to identify studies that reported digestive symptoms and liver injury in COVID-19 patients. A random-effect model was used to combine the data. Finally, 64 studies with 15 141 patients were included. The pooled rate of digestive symptoms and liver dysfunction was 31.8% (95 CI 21.0-42.5%, I 2 = 97.6%) and 27.4% (95 CI 16.9-37.9%, I 2 = 97.9%), respectively. Patients with digestive symptoms were more likely to present with fatigue (OR 2.28, 95 CI 1.66-3.14, P < 0.00001, I 2 = 31%), myalgia (OR 1.96, 95 CI 1.06-3.65, P = 0.03, I 2 = 69%), and acute respiratory disease syndrome (ARDS) (OR 2.94, 95 CI 1.17-7.40, P = 0.02, I 2 = 0) and had a trend to present as severe/critical type (OR 1.87, 95 CI 0.98-3.57, P = 0.06, I 2 = 58%). Severe/critical patients were more likely to present with diarrhea (OR 2.02, 95 CI 1.16-3.50, P = 0.01, I 2 = 64) and have high alanine aminotransferase (ALT) (OR 2.08, 95 CI 1.55-2.81, P < 0.00001, I 2 = 13%,) and aspartate aminotransferase (AST) (OR 3.53, 95 CI 2.76-4.51, P < 0.00001, I 2 = 0). The pooled rate of patients with digestive symptoms was 28.7% (95 CI 17.6-39.8%) and 42.8% (95 CI 23.4-62.3%) in studies from China and out of China, respectively. COVID-19 patients had a high rate of digestive symptoms and liver injury. Patients with digestive symptoms had a trend to develop severe/critical illness.

In-Hospital Mortality and Prediction in an Urban U.S. Population With COVID-19

Coronavirus disease 2019 (COVID-19) has touched every aspect of society, and as the pandemic continues around the globe, many of the clinical factors that influence the disease course remain unclear. A useful clinical decision-making tool is a risk stratification model to determine in-hospital mortality as defined in this study. The study was performed at Robert Wood Johnson University Hospital (RWJUH) in New Brunswick, New Jersey, USA. Data was extracted from our electronic medical records on 44 variables that included demographic, clinical, laboratory tests, treatments, and mortality information. We used the least absolute shrinkage and selection operator regression with corrected Akaike's information criterion to identify a subset of variables that yielded the smallest estimated prediction error for the risk of in-hospital mortality. During the study period, 808 COVID-19 patients were admitted to RWJUH. The sample size was limited to patients with at least one confirmed in-house positive nasopharyngeal swab COVID-19 test. Pregnant patients or those who were transferred to our facility were excluded. Patients who were in observation and were discharged from the emergency room were also excluded. A total of 403 patients had complete values for all variables and were eligible for the study. We identified significant clinical, laboratory, and radiologic variables determining severe outcomes and mortality. An in-hospital mortality risk calculator was created after the identification of significant factors for the specific cohort, which were abnormal CT scan or chest X-ray, chronic kidney disease, age, white blood cell count, platelet count, alanine aminotransferase, and aspartate transaminase with a sensitivity, specificity, and negative predictive value of 82%, 72%, and 93%, respectively. While numerous reports from around the globe have helped outline the pandemic, demographic factors vary widely. This study is more applicable to an urban, highly diverse population in the United States.

Pre-existing Liver Diseases and On-Admission Liver-Related Laboratory Tests in COVID-19: A Prognostic Accuracy Meta-Analysis With Systematic Review

Background: We aimed to perform a systematic search and meta-analysis to evaluate the prognostic value of on-admission liver function tests and pre-existing liver diseases on the clinical course of coronavirus disease 2019 (COVID-19). Methods: The study was registered on PROSPERO (CRD42020182902). We searched five databases between 01/01/2020 and 04/23/2020. Studies that reported on liver-related comorbidities and/or laboratory parameters in patients with COVID-19 were included. The main outcomes were COVID-19 severity, intensive care unit (ICU) admission, and in-hospital mortality. Analysis of predictive models hierarchical summary receiver-operating characteristic (HSROC) was conducted with a 95% confidence interval (CI). Results: Fifty studies were included in the meta-analysis. High specificity was reached by acute liver failure associated by COVID-19 (0.94, 95% CI: 0.71-0.99) and platelet count (0.94, 95% CI: 0.71-0.99) in the case of mortality; chronic liver disease (CLD) (0.98, 95% CI: 0.96-0.99) and platelet count (0.82, 95% CI: 0.72-0.89) in the case of ICU requirement; and CLD (0.97, 95% CI: 0.95-0.98), chronic hepatitis B infection (0.97, 95% CI: 0.95-0.98), platelet count (0.86, 95% CI: 0.77-0.91), and alanine aminotransferase (ALT) (0.80, 95% CI: 0.66-0.89) and aspartate aminotransferase (AST) (0.84, 95% CI: 0.77-0.88) activities considering severe COVID-19. High sensitivity was found in the case of C-reactive protein (CRP) for ICU requirement (0.92, 95% CI: 0.80-0.97) and severe COVID-19 (0.91, 95% CI: 0.82-0.96). Conclusion: On-admission platelet count, ALT and AST activities, CRP concentration, and the presence of acute and CLDs predicted the severe course of COVID-19. To highlight, pre-existing liver diseases or acute liver injury associated by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection plays an important role in the prediction of mortality.

Fibrosis-4 index as a predictor for mortality in hospitalised patients with COVID-19: a retrospective multicentre cohort study

OBJECTIVE

The reliable risk factors for mortality of COVID-19 has not evaluated in well-characterised cohort. This study aimed to identify risk factors for in-hospital mortality within 56 days in patients with severe infection of COVID-19.

DESIGN

Retrospective multicentre cohort study.

SETTING

Five tertiary hospitals of Daegu, South Korea.

PARTICIPANTS

1005 participants over 19 years old confirmed COVID-19 using real-time PCR from nasopharyngeal and oropharyngeal swabs.

METHODS

The clinical and laboratory features of patients with COVID-19 receiving respiratory support were analysed to ascertain the risk factors for mortality using the Cox proportional hazards regression model. The relationship between overall survival and risk factors was analysed using the Kaplan-Meier method.

OUTCOME

In-hospital mortality for any reason within 56 days.

RESULTS

Of the 1005 patients, 289 (28.8%) received respiratory support, and of these, 70 patients (24.2%) died. In multivariate analysis, high fibrosis-4 index (FIB-4; HR 2.784), low lymphocyte count (HR 0.480), diabetes (HR 1.917) and systemic inflammatory response syndrome (HR 1.714) were found to be independent risk factors for mortality in patients with COVID-19 receiving respiratory support (all p<0.05). Regardless of respiratory support, survival in the high FIB-4 group was significantly lower than in the low FIB-4 group (28.8 days vs 44.0 days, respectively, p<0.001). A number of risk factors were also significantly related to survival in patients with COVID-19 regardless of respiratory support (0-4 risk factors, 50.2 days; 49.7 days; 44.4 days; 32.0 days; 25.0 days, respectively, p<0.001).

CONCLUSION

FIB-4 index is a useful predictive marker for mortality in patients with COVID-19 regardless of its severity.

A predictive model for the severity of COVID-19 in elderly patients

Elderly patients with coronavirus disease 2019 (COVID-19) are more likely to develop severe or critical pneumonia, with a high fatality rate. To date, there is no model to predict the severity of COVID-19 in elderly patients. In this study, patients who maintained a non-severe condition and patients who progressed to severe or critical COVID-19 during hospitalization were assigned to the non-severe and severe groups, respectively. Based on the admission data of these two groups in the training cohort, albumin (odds ratio [OR] = 0.871, 95% confidence interval [CI]: 0.809 - 0.937, P < 0.001), d-dimer (OR = 1.289, 95% CI: 1.042 - 1.594, P = 0.019) and onset to hospitalization time (OR = 0.935, 95% CI: 0.895 - 0.977, P = 0.003) were identified as significant predictors for the severity of COVID-19 in elderly patients. By combining these predictors, an effective risk nomogram was established for accurate individualized assessment of the severity of COVID-19 in elderly patients. The concordance index of the nomogram was 0.800 in the training cohort and 0.774 in the validation cohort. The calibration curve demonstrated excellent consistency between the prediction of our nomogram and the observed curve. Decision curve analysis further showed that our nomogram conferred significantly high clinical net benefit. Collectively, our nomogram will facilitate early appropriate supportive care and better use of medical resources and finally reduce the poor outcomes of elderly COVID-19 patients.

Impact of COVID-19 on the care of patients with liver disease: EASL-ESCMID position paper after 6 months of the pandemic

During the early stages of the coronavirus disease 2019 (COVID-19) pandemic, EASL and ESCMID published a position paper to provide guidance for physicians involved in the care of patients with chronic liver disease. While some healthcare systems are returning to a more normal routine, many countries and healthcare systems have been, or still are, overwhelmed by the pandemic, which is significantly impacting on the care of these patients. In addition, many studies have been published focusing on how COVID-19 may affect the liver and how pre-existing liver diseases might influence the clinical course of COVID-19. While many aspects remain poorly understood, it has become increasingly evident that pre-existing liver diseases and liver injury during the disease course must be kept in mind when caring for patients with COVID-19. This review should serve as an update on the previous position paper, summarising the evidence for liver disease involvement during COVID-19 and providing recommendations on how to return to routine care wherever possible.

COVID-19 and liver injury: where do we stand?

The coronavirus SARS-CoV-2 was identified as the cause of COVID-19, a severe acute respiratory syndrome. Several clinical studies refer to liver injury as the most frequent clinical extrapulmonary manifestation. In this review, we summarize the available clinical data concerning liver injury during COVID-19. Although the underlying mechanism of liver impairment is somewhat unclear, transaminases and bilirubin levels are elevated in a substantial proportion of patients. Moreover, more severe alterations in liver enzymes may correlate with a worse clinical course of COVID-19. However, several other cofactors, such as drug-induced liver injury, hyper-inflammatory response to infection, hypoxic hepatitis or preexisting underlying liver disease, cannot be excluded.

The association between markers of liver injury and clinical outcomes in patients with COVID-19 in Wuhan

BACKGROUND

The outbreak of coronavirus disease 2019 (COVID-19) is a critical challenge for public health. The effect of COVID-19 on liver injury has not been fully established.

AIMS

To evaluate the dynamic changes in liver function and the relationship between liver damage and prognosis in patients with COVID-19.

METHODS

Retrospective analysis of clinical data of 675 patients with COVID-19 in Zhongnan Hospital of Wuhan University from January 3 to March 8, 2020. Patients were classified as having normal or abnormal liver function and liver injury.

RESULTS

Of 675 patients, 253 (37.5%) had abnormal liver function during hospitalisation, and 52 (7.7%) had liver injury. The dynamic changes of ALT and AST levels were more significant in patients with liver injury and in those who died. AST >3-fold upper limit of normal (ULN) had the highest risk of death and mechanical ventilation. Compared to patients with normal AST levels, mortality and risk of mechanical ventilation significantly increased 19.27-fold (95% confidence interval [CI], 4.89-75.97; P < 0.0001) and 116.72-fold (95% CI, 31.58-431.46; P < 0.0001), respectively, in patients with AST above 3-fold ULN. Increased leucocytes, decreased lymphocytes and female sex were independently associated with liver injury.

CONCLUSIONS

The dynamic changes in liver function may have a significant correlation with the severity and prognosis of COVID-19. Increased index of liver injury was closely related to mortality and need for mechanical ventilation. Therefore, these indicators should be closely monitored during hospitalisation.

Clinical Characteristics and Short-Term Outcomes of Severe Patients With COVID-19 in Wuhan, China

Background: A novel pneumonia (COVID-19) spread rapidly throughout worldwide, in December, 2019. Most of the deaths have occurred in severe and critical cases, but information on prognostic risk factors for severely ill patients is incomplete. Further research is urgently needed to guide clinicians, and we therefore prospectively evaluate the clinical outcomes of 114 severely ill patients with COVID-19 for short-term at the Union Hospital in Wuhan, China. Methods: In this single-centered, prospective, and observational study, we enrolled 114 severely ill patients with confirmed COVID-19 from Jan 23, 2020, to February 22, 2020. Epidemiological, demographic, laboratory, treatment, and outcome data were recorded, and the risk factors for poor outcome were analyzed. Results: Among the 114 enrolled patients with a mean age of 63.96 ± 13.41 years, 94 (82.5%) patients were classified as a good outcome group. Common clinical manifestations included fever, cough, and fatigue. Compared with the good outcome group, 20 (17.5%) patients in the poor outcome group more frequently exhibited lymphopenia, and lower levels of albumin, partial arterial oxygen pressure, higher levels of lactate dehydrogenase, creatine kinase, hypersensitive troponin I, C-reactive protein, ferritin, blood urea nitrogen, and D-dimer, as well as markedly higher levels of IL-6 and IL-10. Absolute numbers of T lymphocytes, CD8 + T cells, decreased in almost all the patients and were markedly lower in the poor outcome group than the good outcome group. We also found that traditional Chinese medicine can significantly improve the patient's condition, which is conducive to the transformation from a severe to mild condition. In addition, univariate and multivariate Cox analyses of potential factors for poor outcome patients indicated that cytokine storms and uncontrolled inflammation responses as well as liver, kidney, and cardiac dysfunction are related to the development of a poor outcome. Conclusion: In summary, we reported this single-centered, prospective, and observational study for short-term outcome in severe patients with COVID-19. We found that cytokine storms and uncontrolled inflammation responses as well as liver, kidney, and cardiac dysfunction may play important roles in the final outcome of severely ill patients with COVID-19. Our study will allow clinicians to benefit and rapidly estimate the likelihood of a short-term poor outcome for severely ill patients.

Value of Viral Nucleic Acid in Sputum and Feces and Specific IgM/IgG in Serum for the Diagnosis of Coronavirus Disease 2019

A new type of coronavirus-induced pneumonia eventually termed “coronavirus disease 2019” (COVID-19) was diagnosed in patients in Wuhan (Hubei Province, China) in December 2019, and soon spread worldwide. To improve the detection rate of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), we analyzed the results of viral nucleic acid and serum-specific antibody tests on clinical samples from 20 patients with SARS-CoV-2 infection diagnosed at the First Affiliated Hospital of Guangzhou Medical University in China. By comparing various sample types collected from COVID-19 patients, we revealed multiple pathways for SARS-CoV-2 shedding, and a prolonged detectable period for viral nucleic acid test in sputum specimens, demonstrating that the timeline of the viral shedding is of great value in determining the time of release from quarantine or discharge from hospital. We also recommend for the application of serological test to assist in confirming SARS-CoV-2 infection judged by viral nucleic acid test, especially when COVID-19-related symptoms have appeared and the viral nucleic acid test was negative. Our findings are critical for the diagnosis of SARS-CoV-2 infection and for determining deadline of restriction measures to prevent transmission caused by convalescent patients with COVID-19.

Abnormal liver tests in patients hospitalized with Coronavirus disease 2019: Should we worry?

While several studies from China have reported COVID-19-related liver injury, there are currently no data on liver dysfunction in hospitalized COVID-19 patients in Europe. The aim of this study was to describe the prevalence and predictive value of abnormal liver function in patients hospitalized with COVID-19. This was a retrospective cohort study of confirmed COVID-19 patients hospitalized in two referral hospitals in France. Clinical, biological and radiological data were collected and analysed. In all, 234 patients confirmed to have COVID-19 by RT-PCR were included. Liver function was abnormal in 66.6% of patients on admission. In multivariate logistic regression, abnormal liver test on admission were associated with in-hospital aggravation (OR = 4.1, 95% CI 1.5-10.8; P = .004) and mortality (OR 3.3; 95% CI = 1.04-10.5; P = .04). This study of liver tests in a European COVID-19 population confirms a high prevalence of abnormal liver tests on admission that are predictive of severe disease course and higher in-hospital mortality.

Systematic review with meta-analysis: liver manifestations and outcomes in COVID-19

BACKGROUND

The incidence of elevated liver chemistries and the presence of pre-existing chronic liver disease (CLD) have been variably reported in COVID-19.

AIMS

To assess the prevalence of CLD, the incidence of elevated liver chemistries and the outcomes of patients with and without underlying CLD/elevated liver chemistries in COVID-19.

METHODS

A comprehensive search of electronic databases from 1 December 2019 to 24 April 2020 was done. We included studies reporting underlying CLD or elevated liver chemistries and patient outcomes in COVID-19.

RESULTS

107 articles (n = 20 874 patients) were included for the systematic review. The pooled prevalence of underlying CLD was 3.6% (95% CI, 2.5-5.1) among the 15 407 COVID-19 patients. The pooled incidence of elevated liver chemistries in COVID-19 was 23.1% (19.3-27.3) at initial presentation. Additionally, 24.4% (13.5-40) developed elevated liver chemistries during the illness. The pooled incidence of drug-induced liver injury was 25.4% (14.2-41.4). The pooled prevalence of CLD among 1587 severely infected patients was 3.9% (3%-5.2%). The odds of developing severe COVID-19 in CLD patients was 0.81 (0.31-2.09; P = 0.67) compared to non-CLD patients. COVID-19 patients with elevated liver chemistries had increased risk of mortality (OR-3.46 [2.42-4.95, P < 0.001]) and severe disease (OR-2.87 [95% CI, 2.29-3.6, P < 0.001]) compared to patients without elevated liver chemistries.

CONCLUSIONS

Elevated liver chemistries are common at presentation and during COVID-19. The severity of elevated liver chemistries correlates with the outcome of COVID-19. The presence of CLD does not alter the outcome of COVID-19. Further studies are needed to analyse the outcomes of compensated and decompensated liver disease.

Liver Injury in COVID-19 Infection: A Systematic Review

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) or novel coronavirus disease (COVID-19) pandemic is sweeping through the world. The overwhelming pathology seems to be in the upper and lower respiratory tract; however, the involvement of other organs, including the liver, has also been reported. Whether liver enzyme derangement is a common feature of COVID-19 is not known. For those patients who have concomitant liver enzyme derangement with COVID-19, the prevalence, extent, and rate of progression to liver failure is not known. In view of unclear evidence regarding this, we conducted a systematic review of the literature on liver injury in COVID-19 patients. The aim of this review was to ascertain whether liver enzyme derangement is a common feature in adult patients with confirmed COVID-19 infection, determine the relation of deranged liver enzymes with outcome or mortality in COVID-19, and determine if liver failure is a common feature of COVID-19. The PubMed and OVID Medline databases were searched systematically. Cross-sectional studies and case-control studies involving adult patients with confirmed COVID-19 and having data on liver enzymes were included. Independent extraction of the data was done by two independent authors.  A total of 23 articles were identified by the initial filtering search. Abstracts were reviewed and screened to shortlist studies. A full-text assessment of the shortlisted articles for eligibility criteria identified five articles. Manual searching via the LitCovid (National Library of Medicine tool) search hub produced a further two studies that were eligible. Many of the COVID-19 patients in the various studies had a varying degree of deranged liver enzymes. The degree of injury was mild in most cases; and it appears to correlate with the severity of COVID-19 infection. Severe liver injury causing significant liver damage, liver failure, or death is uncommon. The main limitations of the study were the heterogeneity of studies and incomplete data on the trajectory of liver tests during the disease course as well as the final outcomes of the patients in the studies.

Diabetes as a risk factor for greater COVID-19 severity and in-hospital death: A meta-analysis of observational studies

AIMS

To estimate the prevalence of established diabetes and its association with the clinical severity and in-hospital mortality associated with COVID-19.

DATA SYNTHESIS

We systematically searched PubMed, Scopus and Web of Science, from 1st January 2020 to 15th May 2020, for observational studies of patients admitted to hospital with COVID-19. Meta-analysis was performed using random-effects modeling. A total of 83 eligible studies with 78,874 hospitalized patients with laboratory-confirmed COVID-19 were included. The pooled prevalence of established diabetes was 14.34% (95% CI 12.62-16.06%). However, the prevalence of diabetes was higher in non-Asian vs. Asian countries (23.34% [95% CI 16.40-30.28] vs. 11.06% [95% CI 9.73-12.39]), and in patients aged ≥60 years vs. those aged <60 years (23.30% [95% CI 19.65-26.94] vs. 8.79% [95% CI 7.56-10.02]). Pre-existing diabetes was associated with an approximate twofold higher risk of having severe/critical COVID-19 illness (n = 22 studies; random-effects odds ratio 2.10, 95% CI 1.71-2.57; I2 = 41.5%) and ~threefold increased risk of in-hospital mortality (n = 15 studies; random-effects odds ratio 2.68, 95% CI 2.09-3.44; I2 = 46.7%). Funnel plots and Egger's tests did not reveal any significant publication bias.

CONCLUSIONS

Pre-existing diabetes is significantly associated with greater risk of severe/critical illness and in-hospital mortality in patients admitted to hospital with COVID-19.

Coronavirus Disease 2019 (COVID-19) as a Multi-Systemic Disease and its Impact in Low- and Middle-Income Countries (LMICs)

Currently, the coronavirus disease 2019 (COVID-19) is the priority of the global health agenda. Since the first case was reported in Wuhan, China, this infection has continued to spread and has been considered as a pandemic by the World Health Organization (WHO) within 3 months of its outbreak. Several studies have been done to better understand the pathogenesis and clinical aspects of the disease. It appears that COVID-19 affects almost all body organs due to the direct effect of the virus and its induced widespread inflammatory response. This multi-systemic aspect of the disease has to be inculcated in COVID-19 management by health providers to improve patient outcomes. This strategy could help curb the burden of the disease especially in low- and middle-income countries (LMICs) like most African countries where the pandemic is at an "embryonic" stage.

Gastrointestinal and Liver Manifestations of COVID-19

A novel Coronavirus, SARS-CoV-2 illness, has spread throughout the world after the first case was reported from Wuhan, China, in December 2019. This illness typically causes respiratory symptoms like fever, cough, and shortness of breath, although atypical presentation with gastrointestinal symptoms like abdominal pain, nausea, vomiting, or diarrhea are being increasingly reported. The viral RNA has been detected in saliva and stool of such patients, which raises concerns regarding the risk of transmission during gastrointestinal (GI) endoscopy. Many patients also have liver involvement, with the most common manifestation being deranged liver function tests. This review highlights the symptomatology, mechanism, and histopathology findings of SARS-CoV-2 in GI tract and liver. This review also focuses on implications of COVID-19 in patients afflicted with chronic liver disease and in patients undergoing liver transplantation.