Abstract
Background and Aim:
The impact of chronic hepatitis B virus (HBV) infection and nucleos(t)ide analogue (NUC) treatment on disease severity and clinical outcomes in patients with coronavirus 2019 (COVID-19) is unknown. The objective of this study was to determine whether HBV infection and the use of NUCs impacts mortality in patients with COVID-19.
Materials and Methods:
A total of 231 adult patients (77 with COVID-19 and HBV coinfection) with a laboratory-confirmed diagnosis of COVID-19 were enrolled in this retrospective study. Univariate and binary logistic regression analysis were performed to evaluate the risk factors for mortality from COVID-19.
Results:
Patients with COVID-19 and HBV coinfection had a similar rate of mortality to those without HBV coinfection (7.8% vs 9.7%; p=0.627). Cardiovascular disease (odds ratio [OR]: 8.22, 95% confidence interval [CI]: 1.52-44.2; p=0.014) and a high basal aspartate transaminase level (OR: 7.94, 95% CI: 1.81-34.8; p=0.006) were independent predictors of mortality due to COVID-19. In the COVID-19 and HBV coinfection group, the patients who died had a significantly higher median level of HBV DNA than patients who survived (378 IU/mL vs 0 IU/mL; p=0.048). Thirty (39%) patients with HBV coinfection received NUC treatment, and none of these patients died.
Conclusion:
HBV infection was not associated with mortality in patients with COVID-19, and it seems that NUC treatment for HBV infection might have an antiviral effect on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection.
Keywords: Chronic HBV infection, chronic hepatitis, cirrhosis, COVID-19, hepatitis B, nucleos(t)ide analogue treatment
Introduction
Coronavirus disease 2019 (COVID-19), which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, emerged in Wuhan, China, in December 2019. In addition to respiratory disorders, SARS-CoV-2 can also cause liver damage.[1,2] The incidence of elevated liver function in patients with COVID-19 ranges between 14% and 83%.[2,3] Liver injury occurs more commonly in patients with severe COVID-19, and patients with elevated liver biochemistry findings are at increased risk of death.[4]
Evidence shows that patients with chronic liver disease, especially cirrhosis, may be at higher risk of death from COVID-19.[5,6] The World Health Organization (WHO) estimates that 3.5% of the population worldwide lives with chronic hepatitis B virus (HBV) infection.[7] The overall hepatitis B surface antigen seropositivity is 4% in Turkey.[8] Although SARS-CoV-2 and HBV can both cause abnormal liver function, it is not clear whether HBV infection has an impact on the outcomes of COVID-19. Recent studies have suggested that nucleos(t)ide analogues (NUCs) used to treat HBV infection may have an antiviral effect on SARS-CoV-2.[9,10] This study was designed to evaluate whether HBV infection and the use of NUCs had an impact on mortality in patients with COVID-19.
Materials and Methods
This study was approved by the Turkish Ministry of Health and by the ethics committees of Umraniye Training and Research Hospital and Haydarpasa Numune Training and Research Hospital on May 12, 2020 (no: 151). Informed patient consent was not required for this study because the analysis used anonymous clinical data that were obtained after each patient provided written consent for treatment.
Study Population
The records of all adult patients (age >18 years) who had been admitted to 2 Istanbul tertiary district hospitals (University of Health Sciences Istanbul Umraniye Training and Research Hospital and Haydarpasa Numune Training and Research Hospital) and tested positive for SARS-CoV-2 RNA (nasopharyngeal and oropharyngeal) according to a reverse transcription-polymerase chain reaction (RT-PCR) assessment (n=349) between March 11, 2020, and June 30, 2020 were retrospectively analyzed. Patients who had not been tested for the hepatitis B surface antigen, hepatitis C antibody, or the HIV antibody, were excluded (n=118). Patients with clinical, laboratory, or radiological findings suggestive of cirrhosis were excluded if the underlying etiology was not HBV infection, as the aim of this research was to assess the impact of HBV infection on COVID-19. After applying the exclusion criteria, 154 patients without chronic liver disease and 77 patients with HBV infection who were positive for SARS-CoV-2 RNA (nasopharyngeal and oropharyngeal) according to RT-PCR testing were included in this study.
Patient Management and Variables
Diagnosis and management of all of the patients was performed according to the Directorate General of Public Health Guidelines issued by the Turkish Ministry of Health.[11] All of the patient samples were analyzed for SARS-CoV-2 RNA (nasopharyngeal and oropharyngeal) via RT-PCR at an accredited laboratory. All of the patients with confirmed COVID-19 started their treatment as inpatients, and after the initial assessment of disease severity, they were either discharged or continued their treatment in the hospital. Treatment was initiated with hydroxychloroquine and/or azithromycin in all cases. Favipiravir (a 3200-mg loading dose and 1200-mg maintenance dose) was administered for 5 days to patients who did not improve after receiving the initial treatment. Additionally, anti-interleukin 6 (IL-6) therapy (tocilizumab) or convalescent plasma was used if deemed appropriate. All of the patients were followed up 1 month after discharge at outpatient clinics.
Baseline laboratory values and demographic, clinical, length-of-stay, and intensive care unit admission data were collected from electronic medical records. Body mass index values were recorded as obese (≥30 kg/m2) or nonobese (<30 kg/m2), according to WHO definitions.[11] The diagnosis of cirrhosis was made based on clinical, laboratory, radiological, and endoscopic findings. Among the 14 cirrhosis patients, 9 had Child-Pugh Class A cirrhosis, 3 had Child-Pugh Class B cirrhosis, and 2 had Child-Pugh Class C cirrhosis. Genotype D is the dominant HBV genotype in Turkey in all age groups; therefore, no genotype analysis was performed. Of the 77 HBV-positive patients, 5 (6.5%) were hepatitis B e antigen-positive, and 3 (3.9%) were anti-delta-positive. The HBV DNA level, liver fibrosis stage (according to the Ishak scoring system), and NUC treatment details were recorded for the patients with HBV infection. The HBV DNA levels of the previous 6 months were available for 50 (65%) patients. Liver fibrosis stage data were available for 38 (49%) patients who had HBV infection without cirrhosis (n=63) and 31 (40%) patients had significant fibrosis (≥F2). The available treatment information for all of the study patients indicated that 47 (61%) did not receive NUC treatment, 8 (10.4%) were given entecavir, 18 (23.4%) received tenofovir disoproxil fumarate, and tenofovir alafenamide was administered to 4 (5.2%) patients. The electronic medical records were also reviewed for prior abdominal imaging results.
Statistical Analysis
Continuous variables are presented as the median and interquartile range, and categorical variables are presented as percentages and frequencies. A 2-tailed p value of <0.05 was considered significant. Univariable analyses to identify variables associated with patient outcome (alive/dead) due to COVID-19 were investigated using a chi-squared, Fisher exact, or Mann-Whitney U-test, as appropriate. Multivariable analysis was used to investigate factors identified in the univariate analyses using logistic regression analysis to determine independent predictors of patient outcome. The Hosmer-Lemeshow goodness-of-fit statistic was used to assess model fit. A 5% type-I error level was established as an indication of statistical significance. All of the data were analyzed using the IBM SPSS Statistics for Windows, Version 24.0 software (IBM Corp., Armonk, NY, USA).
Results
A total of 231 patients who had a confirmed COVID-19 infection, 77 of whom had HBV coinfection (n=77; 14 cirrhotic, 63 noncirrhotic) and 154 who did not have HBV coinfection, were included in this study. Patients without HBV coinfection had a significantly longer hospital stay than patients with HBV coinfection (10 days vs 7 days; p=0.000), and these patients more frequently received hydroxychloroquine, azithromycin, or anti-IL6 treatment. There were no significant differences between the groups in terms of age, sex, comorbidities, or mortality rate. Death occurred in 21 patients (9%) of the total cohort. The clinical characteristics of COVID-19 patients with and without HBV coinfection are summarized in Table 1.
Table 1.
Clinical characteristics of COVID-19 patients with and without HBV coinfection
|
HBV
(n=77) |
Non-HBV
(n=154) |
p | |
|---|---|---|---|
| Age (years) | 57.5 (28–93) | 53 (19–91) | 0.148 |
| Sex (male) | 48 (62.3) | 105 (68.2) | 0.376 |
| Smoker | 7 (9.1) | 9 (5.8) | 0.360 |
| Obesity (BMI ≥30 kg/m2) | 12 (16) | 21 (13.6) | 0.633 |
| Cardiovascular disease | 3 (3.9) | 16 (10.4) | 0.090 |
| Diabetes mellitus | 16 (20.8) | 33 (21.4) | 0.909 |
| Hypertension | 18 (23.4) | 54 (35.1) | 0.071 |
| COPD | 6 (7.8) | 16 (10.4) | 0.526 |
| Non-HCC cancer | 3 (3.9) | 3 (1.9) | 0.403 |
| HCC | 2 (2.6) | 0 (0) | 0.110 |
| Liver fibrosis stage* | |||
| F 0–1 | 7 (9) | – | |
| F 2–4 | 17 (22) | – | |
| Cirrhosis | 14 (18.1) | – | |
| Child–Pugh A | 9 (11.7) | – | |
| Child–Pugh B | 3 (3.9) | – | |
| Child–Pugh C | 2 (2.6) | – | |
| MELD score | 11 (7–23) | – | |
| NUC treatment | 30 (39) | – | |
| HBV DNA† (IU/mL) | 0 (0–6368853) | – | |
| Creatinine (mg/dL) | 0.85 (0.53–8.27) | 0.93 (0.52–6.66) | 0.074 |
| ALT (U/L) | 31 (5–536) | 30 (8–712) | 0.279 |
| AST (U/L) | 32 (13–264) | 34 (11–822) | 0.100 |
| Total bilirubin (mg/dL) | 0.54 (0.13–14.93) | 0.56 (0.14–4.2) | 0.840 |
| Albumin (g/dL) | 3.95 (2.1–4.6) | 3.91 (2.36–4.93) | 0.243 |
| Prothrombin time (s) | 14.2 (12.1–28.4) | 14.3 (12.2–48.6) | 0.929 |
| Hydroxychloroquine | 55 (71.4) | 153 (99.4) | 0.000 |
| Azithromycin | 38 (49.4) | 146 (94.8) | 0.000 |
| Anti-IL6 therapy | 1 (1.3) | 13 (8.4) | 0.039 |
| Convalescent plasma | 0 (0) | 5 (3.2) | 0.172 |
| Favipiravir | 28 (36.4) | 66 (42.9) | 0.344 |
| Hospital stay (days) | 7 (0–34) | 10 (1–106) | 0.000 |
| Death | 6 (7.8) | 15 (9.7) | 0.627 |
Data are shown as median (interquartile range) or n (%). *: Liver fibrosis stage (Ishak) was available for 38 patients. †: HBV DNA was available for 50 patients. ALT: Alanine aminotransferase; AST: Aspartate aminotransferase; BMI: Body mass index; COPD: Chronic obstructive pulmonary disease; COVID-19: Coronavirus 2019; F: Fibrosis; HBV: Hepatitis B virus; HCC: Hepatocellular carcinoma; IL: Interleukin; MELD: Model for end-stage liver disease; NUC: Nucleos(t)ide analogue.
In patients with HBV coinfection, the median HBV DNA level was significantly higher in patients who died than in those who survived (378 IU/mL vs 0 IU/mL; p=0.048). Factors associated with death in univariate analysis were age (≥65 years); cardiovascular disease; baseline creatinine, aspartate transaminase (AST), alanine transaminase (ALT), and albumin levels; and treatment with anti-IL6 (tocilizumab), convalescent plasma, or favipiravir. An elevated AST level (≥35 U/L) was significant. HBV coinfection and cirrhosis were not associated with death. Thirty of 77 patients with HBV coinfection received NUC treatment, and none of them died (p=0.085). Multivariate analysis of factors associated with death demonstrated that cardiovascular disease and a baseline AST higher than 35 U/L were significant (Table 2).
Table 2.
Clinical characteristics of COVID-19 patients and factors associated with death
| Survived | Died | Univariate analysis | Multivariate analysis | |||
|---|---|---|---|---|---|---|
| n=210 | n=21 | OR (95% CI) | p | OR (95% CI) | p | |
| Age (years) | 51 (18–91) | 66 (28–93) | 0.92 (0.89–0.96) | 0.000 | ||
| Age ≥65 years | 37 (17.6) | 12 (57.1) | 6.23 (2.44–15.8) | 0.000 | 1.92 (0.54–6.79) | 0.310 |
| Sex (male) | 137 (65.2) | 16 (76.2) | 1.70 (0.60–4.84) | 0.312 | ||
| Smoker | 16 (7.6) | 0 (0) | 0.90 (0.86–0.94) | 0.373 | ||
| Obesity (BMI ≥30 kg/m2) | 32 (15.4) | 1 (4.8) | 3.63 (0.47–28.0) | 0.325 | ||
| Cardiovascular disease | 13 (6.2) | 6 (28.6) | 6.06 (2.01–18.2) | 0.001 | 8.22 (1.52–44.2) | 0.014 |
| Diabetes mellitus | 44 (21) | 5 (23.8) | 1.17 (0.40–3.39) | 0.760 | ||
| Hypertension | 62 (29.5) | 10 (47.6) | 2.17 (0.87–5.37) | 0.094 | ||
| COPD | 21 (10) | 1 (4.8) | 2.22 (0.28–17.4) | 0.447 | ||
| Non-HCC cancer | 4 (1.9) | 2 (9.5) | 5.42 (0.93–31.5) | 0.060 | ||
| HCC | 2 (1) | 0 (0) | 0.90 (0.87–0.94) | 0.999 | ||
| HBV infection | 71 (33.8) | 6 (28.6) | 1.27 (0.47–3.43) | 0.627 | 1.68 (0.48–5.89) | 0.414 |
| Cirrhosis | 12 (5.7) | 2 (9.5) | 1.73 (0.36–8.34) | 0.490 | ||
| NUC treatment | 30 (14.2) | 0 (0) | 0.89 (0.85–0.93) | 0.085 | ||
| Creatinine (mg/dL) | 0.86 (0.52–8.27) | 1.18 (0.75–2.82) | 0.58 (0.36–0.94) | 0.028 | 0.65 (0.4–5.89) | 0.091 |
| ALT (U/L) | 29 (5–536) | 39 (11–712) | 0.99 (0.98–0.99) | 0.026 | ||
| AST (U/L) | 31.5 (11–264) | 45 (14–822) | 0.98 (0.97–0.99) | 0.006 | ||
| AST ≥35 (U/L) | 76 (38) | 15 (71.4) | 4.07 (1.51–10.9) | 0.005 | 7.94 (1.81–34.8) | 0.006 |
| Total bilirubin (mg/dL) | 0.54 (0.13–14.9) | 0.64 (0.14–4.2) | 0.90 (0.68–1.21) | 0.510 | ||
| Albumin (g/dL) | 3.98 (2.36–4.93) | 3.42 (2.1–4.41) | 5.58 (2.3–13.55) | 0.000 | 2.99 (0.97–9.2) | 0.056 |
| Prothrombin time (s) | 14.1 (12.1–42.1) | 17.3 (13.1–48.6) | 0.99 (0.97–1.01) | 0.487 | ||
| Hydroxychloroquine | 188 (89.5) | 20 (95.2) | 2.34 (0.29–18.2) | 0.418 | ||
| Azithromycin | 164 (78.1) | 20 (95.2) | 5.61 (0.73–42.9) | 0.097 | ||
| Anti–IL6 therapy | 10 (4.8) | 4 (19) | 4.7 (1.33–16.6) | 0.016 | ||
| Convalescent plasma | 3 (1.4) | 2 (9.5) | 7.26 (1.14–46.1) | 0.036 | ||
| Favipiravir | 77 (36.7) | 17 (81) | 7.34 (2.38–22.6) | 0.001 | 2.82 (0.76–10.4) | 0.120 |
| Hospital stay (days) | 8 (0–106) | 10 (4–53) | 0.97 (0.94–1.0) | 0.090 | ||
Data are shown as median (interquartile range) or n (%). ALT: Alanine aminotransferase; AST: Aspartate aminotransferase; BMI: Body mass index; COPD: Chronic obstructive pulmonary disease; COVID-19: Coronavirus 2019; HBV: Hepatitis B virus; HCC: Hepatocellular carcinoma; IL: Interleukin; NUC: Nucleos(t)ide analogue.
Patients with COVID-19 and HBV coinfection with cirrhosis had a similar mortality rate to those without cirrhosis (14.3% vs 6.3%; p=0.298). The proportion of patients with cirrhosis who received NUC treatment was significantly higher than those without cirrhosis (78.6% vs 30.2%; p=0.001). The median age of patients with cirrhosis was higher than that of those without cirrhosis (61 years vs 56 years; p=0.041). Patients with cirrhosis had a higher median total bilirubin and prothrombin level than those without cirrhosis (0.71 vs 0.47 mg/dL; p=0.001 and 15.9 vs 14 seconds; p=0.001, respectively). Hepatocellular carcinoma was more frequent in patients with cirrhosis than those without cirrhosis (14.3% vs 0%; p=0.031) (Table 3).
Table 3.
Clinical characteristics of patients with COVID-19 and HBV with and without cirrhosis
|
HBV without cirrhosis
n=63 |
HBV with cirrhosis
n=14 |
p | |
|---|---|---|---|
| Age (years) | 56 (28–93) | 61 (34–80) | 0.041 |
| Age ≥65 | 9 (14.3) | 5 (35.7) | 0.117 |
| Sex (male) | 37 (58.7) | 11 (78.6) | 0.166 |
| Smoker | 4 (6.3) | 3 (21.4) | 0.108 |
| Obesity (BMI ≥30 kg/m2) | 9 (14.8) | 3 (21.4) | 0.686 |
| Cardiovascular disease | 2 (3.2) | 1 (7.1) | 0.457 |
| Diabetes mellitus | 13 (20.6) | 3 (21.4) | 0.947 |
| Hypertension | 16 (25.4) | 2 (14.3) | 0.499 |
| COPD | 5 (7.9) | 1 (7.1) | 0.920 |
| Non-HCC cancer | 1 (1.6) | 2 (14.3) | 0.083 |
| HCC | 0 (0) | 2 (14.3) | 0.031 |
| Creatinine (mg/dL) | 0.88 (0.53–8.27) | 0.8 (0.56–1.18) | 0.294 |
| ALT (U/L) | 32 (8–536) | 22 (5–116) | 0.906 |
| AST (U/L) | 28 (13–250) | 38 (14–264) | 0.055 |
| AST ≥35 (U/L) | 17 (31.5) | 8 (61.5) | 0.059 |
| Total bilirubin (mg/dL) | 0.47 (0.13–1.22) | 0.71 (0.46–14.93) | 0.001 |
| Albumin (g/dL) | 3.99 (2.86–4.58) | 3.57 (2.1–4.6) | 0.077 |
| Prothrombin time (s) | 14 (12.1–23.7) | 15.9 (14–28.4) | 0.001 |
| HBV DNA (IU/mL)* | 0 (0–6368853) | 0 (0–6700) | 0.621 |
| NUC treatment | 19 (30.2) | 11 (78.6) | 0.001 |
| Hydroxychloroquine | 46 (73) | 9 (64.3) | 0.526 |
| Azithromycin | 32 (50.8) | 6 (42.9) | 0.591 |
| Anti-IL6 therapy | 1 (1.6) | 0 (0) | 1.000 |
| Favipiravir | 20 (31.7) | 8 (57.1) | 0.074 |
| Hospital stay (days) | 6 (0–15) | 10 (4–34) | 0.152 |
| Death | 4 (6.3) | 2 (14.3) | 0.298 |
Data are shown as median (interquartile range) or n (%). *: HBV DNA was available for 50 patients; ALT: Alanine aminotransferase; AST: Aspartate aminotransferase; BMI: Body mass index; COPD: Chronic obstructive pulmonary disease; COVID-19: Coronavirus 2019; HBV: Hepatitis B virus; HCC: Hepatocellular carcinoma; IL: Interleukin; NUC: Nucleos(t)ide analogue.
No significant drug-drug interaction or serious drug-induced liver injury was recorded during the hospitalization period.
Discussion
The clinical data of the outcomes of COVID-19 patients with chronic HBV infection suggests that HBV infection did not increase the mortality risk in most cases. We analyzed 231 patients with COVID-19, of whom 77 patients had HBV coinfection. Our results indicated that patients with HBV coinfection had a similar COVID-19 mortality rate to patients without HBV coinfection (7.8% vs 9.7%). Patients with HBV coinfection and cirrhosis had a similar mortality rate to those without cirrhosis (14.3% vs. 6.3%). Most importantly, none of the 30 patients who received NUC treatment for HBV infection died, and the median HBV DNA level was significantly lower in patients who survived.
Zou et al.[12] analyzed 105 patients with COVID-19 and HBV coinfection; 13.3% of this group had liver injury, and 6.67% died. A multicenter study from the United States analyzed 867 patients with chronic liver disease and COVID-19. Sixty-two of these patients had HBV, and 4.1% of the HBV patients died. HBV was not associated with mortality in either univariable or multivariable analyses.[13] Chen et al.[14] compared 20 patients with HBV and COVID-19 coinfection and 306 patients with COVID-19 without HBV. None of the patients with HBV died, and they concluded that HBV infection had no effect on COVID-19 mortality. Wu et al.[15] analyzed 70 patients with HBV and COVID-19 coinfection, and none of these patients died. The lower mortality rates in other studies may have been due to the smaller percentage of patients with HBV cirrhosis than in our study. We observed that the patients who died had a significantly higher median level of HBV DNA than the patients who survived (378 IU/mL vs 0 IU/mL; p=0.048). Therefore, another reason for the higher mortality rate could be the greater frequency of detectable HBV DNA levels in our study; however, the above studies did not provide HBV DNA levels.
Chen et al.[16] analyzed 15 patients with HBV and COVID-19, and 2 (13.3%) died. In a multicenter research network study, 12% mortality was observed among 250 patients with pre-existing liver disease (10 patients with HBV).[17] Marjot et al.[5] noted that among 745 patients with both COVID-19 and chronic liver disease from 2 international reporting registries, 92 had HBV (n=37, 40% with HBV cirrhosis), and 15.3% of the HBV patients died. The mortality in patients with chronic liver disease without and with cirrhosis was 8% and 32%, respectively. According to their multivariable analysis, HBV was not associated with mortality. Our mortality rate in patients with HBV and COVID-19 coinfection was 7.8%, and most of these patients were noncirrhotic (82%), with various degrees of liver fibrosis. Most of the patients with HBV cirrhosis and COVID-19 coinfection had Chid-Pugh A cirrhosis (n=9, 64%), and the rate of mortality among patients with cirrhosis was 14.3%. The low mortality of cirrhotic patients in our study in comparison with the observations of Marjot et al.[5] could be attributed to the small number of patients with decompensated cirrhosis. Consistent with other studies, we found no association between HBV and COVID-19 mortality. Cardiovascular disease and a high basal AST level were independent predictors of mortality, a finding that was also reported in a recently published meta-analysis of 34 studies.
COVID-19 incidence and outcomes in patients with HBV receiving NUC treatment have not been addressed in detail. However, recent studies have demonstrated that tenofovir and entecavir inhibit SARS-CoV-2 RNA-dependent RNA polymerase. Thus, NUCs may have a role as potential COVID-19 therapeutics.[10,18,19] Lens et al.[20] published a large cohort study conducted in Spain, and of 1764 HBV patients who were receiving tenofovir, only 8 patients (0.4%) had COVID-19 and none died. Additionally, a multicenter study from China that included 70 patients with HBV and a COVID-19 coinfection reported that the majority of patients were on HBV antiviral treatment and that all of the patients recovered.[15] In our study, HBV antiviral treatment data were available for all of the HBV-coinfected patients; in all, 30 patients were on NUC treatment: 22 were receiving tenofovir and 8 were receiving entecavir. Of those 30 patients, 24 had undetectable HBV DNA on admission, and none died. These results suggest that NUCs may have a positive effect on the outcome of COVID-19.
This study included a relatively small number of patients. The potential bias regarding the selection of patients with symptoms who were admitted to the hospital prevents us from drawing any conclusions about the incidence of COVID-19 and the effects of NUCs in this cohort. However, our findings in the 77 patients with HBV and a COVID-19 coinfection represent a detailed assessment of clinical variables regarding HBV. To our knowledge, it is the largest such cohort to date, including 30 patients receiving NUC treatment with HBV and a COVID-19 coinfection.
Conclusion
HBV infection does not appear to increase the mortality of COVID-19, and antiviral treatments for HBV infection (tenofovir and entecavir) might have an antiviral effect on SARS-CoV-2 infection.
Footnotes
Ethics Committee Approval: The Haydarpasa Numune Training and Research Hospital Clinical Research Ethics Committee granted approval for this study (date: 12.05.2020, number: 151).
Peer-review: Externally peer-reviewed.
Author Contributions: Adali G, design of the study, analysis, and interpretation of the data, and drafting the paper; Gokcen P, Agaoglu NB, Unal B and Degirmenci Salturk AG acquisition of data for the manuscript; Doganay L, Ozdil K, revising the manuscript critically for important intellectual content; Guzelbulut F, acquisition of data for the manuscript and revising it critically for important intellectual content.
Conflict of Interest: The authors have no conflict of interest to declare.
Financial Disclosure: The authors declared that this study has received no financial support.
References
- 1.Chen N, Zhou M, Dong X, Qu J, Gong F, Han Y, et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet. 2020;395(10223):507–513. doi: 10.1016/S0140-6736(20)30211-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Guan WJ, Ni ZY, Hu Y, Liang WH, Ou CQ, He JX, et al. China Medical Treatment Expert Group for Covid-19 Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med. 2020;382(18):1708–1720. doi: 10.1056/NEJMoa2002032. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Hundt MA, Deng Y, Ciarleglio MM, Nathanson MH, Lim JK. Abnormal liver tests in COVID-19: A retrospective observational cohort study of 1,827 patients in a major U.S. hospital network. Hepatology. 2020;72(4):1169–1176. doi: 10.1002/hep.31487. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Kulkarni AV, Kumar P, Tevethia HV, Premkumar M, Arab JP, Candia R, et al. Systematic review with meta-analysis: liver manifestations and outcomes in COVID-19. Aliment Pharmacol Ther. 2020;52(4):584–599. doi: 10.1111/apt.15916. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Marjot T, Moon AM, Cook JA, Abd-Elsalam S, Aloman C, Armstrong MJ, et al. Outcomes following SARS-CoV-2 infection in patients with chronic liver disease: An international registry study. J Hepatol. 2021;74(3):567–577. doi: 10.1016/j.jhep.2020.09.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Sarin SK, Choudhury A, Lau GK, Zheng MH, Ji D, Abd-Elsalam S, et al. APASL COVID Task Force. APASL COVID Liver Injury Spectrum Study (APCOLIS Study- NCT 04345640) Pre-existing liver disease is associated with poor outcome in patients with SARS CoV2 infection; The APCOLIS Study (APASL COVID-19 Liver Injury Spectrum Study) Hepatol Int. 2020;14(5):690–700. doi: 10.1007/s12072-020-10072-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Global Hepatitis Report 2017 Geneva: World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO. Available from: https://www.who.int/hepatitis/publications/global-hepatitis-report2017/en/. Accessed on May 25, 2021.
- 8.Tozun N, Ozdogan O, Cakaloglu Y, Idilman R, Karasu Z, Akarca U, et al. Seroprevalence of hepatitis B and C virus infections and risk factors in Turkey: a fieldwork TURHEP study. Clin Microbiol Infect. 2015;21(11):1020–1026. doi: 10.1016/j.cmi.2015.06.028. [DOI] [PubMed] [Google Scholar]
- 9.Jockusch S, Tao C, Li X, Anderson TK, Chien M, Kumar S, et al. A library of nucleotide analogues terminate RNA synthesis catalyzed by polymerases of coronaviruses that cause SARS and COVID-19. Antiviral Res. 2020;180:104857. doi: 10.1016/j.antiviral.2020.104857. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Elfiky AA. Ribavirin, remdesivir, sofosbuvir, galidesivir, and tenofovir against SARS-CoV-2 RNA dependent RNA polymerase (RdRp): A molecular docking study. Life Sci. 2020;253:117592. doi: 10.1016/j.lfs.2020.117592. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Obesity and overweight World Health Organization Available from: https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight. Accessed on May 25, 2021.
- 12.Zou X, Fang M, Li S, Wu L, Gao B, Gao H, et al. Characteristics of liver function in patients with SARS-CoV-2 and chronic HBV coinfection. Clin Gastroenterol Hepatol. 2021;19(3):597–603. doi: 10.1016/j.cgh.2020.06.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Kim D, Adeniji N, Latt N, Kumar S, Bloom PP, Aby ES, et al. Predictors of outcomes of COVID-19 in patients with chronic liver disease: US Multi-center Study. Clin Gastroenterol Hepatol. 2021;19(7):1469–1479. doi: 10.1016/j.cgh.2020.09.027. .e19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Chen L, Huang S, Yang J, Cheng X, Shang Z, Lu H, et al. Clinical characteristics in patients with SARS-CoV-2/HBV co-infection. J Viral Hepat. 2020;27(12):1504–1507. doi: 10.1111/jvh.13362. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Wu J, Yu J, Shi X, Li W, Song S, Zhao L, et al. Epidemiological and clinical characteristics of 70 cases of coronavirus disease and concomitant hepatitis B virus infection: A multicentre descriptive study. J Viral Hepat. 2021;28(1):80–88. doi: 10.1111/jvh.13404. [DOI] [PubMed] [Google Scholar]
- 16.Chen X, Jiang Q, Ma Z, Ling J, Hu W, Cao Q, et al. Clinical characteristics of hospitalized patients with SARS-CoV-2 and hepatitis b virus co-infection. Virol Sin. 2020;35(6):842–845. doi: 10.1007/s12250-020-00276-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Singh S, Khan A. Clinical characteristics and outcomes of coronavirus disease 2019 among patients with preexisting liver disease in the United States: A Multicenter Research Network Study. Gastroenterology. 2020;159(2):768–771. doi: 10.1053/j.gastro.2020.04.064. .e3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Zhang L, Hou J, Ma FZ, Li J, Xue S, Xu ZG. The common risk factors for progression and mortality in COVID-19 patients: a meta-analysis. Arch Virol. 2021;166(8):2071–2087. doi: 10.1007/s00705-021-05012-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Chien M, Anderson TK, Jockusch S, Tao C, Li X, Kumar S, et al. Nucleotide analogues as inhibitors of SARS-CoV-2 polymerase, a key drug target for COVID-19. J Proteome Res. 2020;19(11):4690–4697. doi: 10.1021/acs.jproteome.0c00392. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Lens S, Miquel M, Mateos-Muñoz B, García-Samaniego J, Forns X. SARS-CoV-2 in patients on antiviral HBV and HCV therapy in Spain. J Hepatol. 2020;73(5):1262–1263. doi: 10.1016/j.jhep.2020.07.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
