Literature DB >> 32838108

Clinical Features of Patients With COVID-19 With Nonalcoholic Fatty Liver Disease.

Rui Huang1, Li Zhu2, Jian Wang1, Leyang Xue3, Longgen Liu4, Xuebing Yan5, Songping Huang6, Yang Li7, Xiaomin Yan1, Biao Zhang8, Tianmin Xu4, Chunyang Li5, Fang Ji5, Fang Ming6, Yun Zhao9, Juan Cheng10, Yinling Wang2, Haiyan Zhao11, Shuqin Hong12, Kang Chen13, Xiang-An Zhao14, Lei Zou10, Dawen Sang10, Huaping Shao11, Xinying Guan15, Xiaobing Chen16, Yuxin Chen17, Jie Wei18, Chuanwu Zhu2, Chao Wu1.   

Abstract

Previous studies reported that coronavirus disease 2019 (COVID-19) was likely to result in liver injury. However, few studies investigated liver injury in patients with COVID-19 with chronic liver diseases. We described the clinical features in patients with COVID-19 with nonalcoholic fatty liver disease (NAFLD). Confirmed patients with COVID-19 from hospitals in 10 cities of Jiangsu Province, China, were retrospectively included between January 18, 2020, and February 26, 2020. The hepatic steatosis index (HSI) was used to defined NAFLD. A total of 280 patients with COVID-19 were enrolled. Eighty-six (30.7%) of 280 patients with COVID-19 were diagnosed as NAFLD by HSI. One hundred (35.7%) patients presented abnormal liver function on admission. The median alanine aminotransferase (ALT) levels (34.5 U/L vs. 23.0 U/L; P < 0.001) and the proportion of elevated ALT (>40 U/L) (40.7% vs. 10.8%; P < 0.001) were significantly higher in patients with NAFLD than in patients without NAFLD on admission. The proportion of elevated ALT in patients with NAFLD was also significantly higher than patients without NAFLD (65.1% vs. 38.7%; P < 0.001) during hospitalization. Multivariate analysis showed that age over 50 years (odds ratio [OR], 2.077; 95% confidence interval [CI], 1.183, 3.648; P = 0.011) and concurrent NAFLD (OR, 2.956; 95% CI, 1.526, 5.726; P = 0.001) were independent risk factors of ALT elevation in patients with COVID-19, while the atomized inhalation of interferon α-2b (OR, 0.402; 95% CI, 0.236, 0.683; P = 0.001) was associated with a reduced risk of ALT elevation during hospitalization. No patient developed liver failure or death during hospitalization. The complications and clinical outcomes were comparable between patients with COVID-19 with and without NAFLD.
Conclusion: Patients with NAFLD are more likely to develop liver injury when infected by COVID-19. However, no patient developed severe liver-related complications during hospitalization.
© 2020 The Authors. Hepatology Communications published by Wiley Periodicals LLC on behalf of American Association for the Study of Liver Diseases.

Entities:  

Year:  2020        PMID: 32838108      PMCID: PMC7436597          DOI: 10.1002/hep4.1592

Source DB:  PubMed          Journal:  Hepatol Commun        ISSN: 2471-254X


alkaline phosphatase alanine aminotransferase acute respiratory distress syndrome aspartate aminotransferase body mass index confidence interval chronic liver disease corona virus disease 2019 computed tomography diabetes mellitus fasting blood glucose gamma‐glutamyl transpeptidase hepatic steatosis index intensive care unit interferon interquartile range nonalcoholic fatty liver disease odds ratio severe acute respiratory syndrome coronavirus 2 total bilirubin In December 2019, a novel respiratory infection disease caused by severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) emerged in Wuhan, China, and rapidly spread from Wuhan to other regions.( , ) As of June 16, 7,941,791 laboratory confirmed cases and 434,796 deaths had been reported.( ) The clinical characteristics of corona virus disease 2019 (COVID‐19) have been reported in several studies.( , , , , , ) Despite atypical pneumonia being the primary symptom of COVID‐19, liver impairment has also been commonly observed in patients with COVID‐19.( ) Chen et al.( ) reported that 28% and 35% of patients with COVID‐19 had increased alanine aminotransferase (ALT) and increased aspartate aminotransferase (AST), respectively, on admission. In the study by Guan et al.,( ) which analyzed clinical characteristics of 1,099 patients with confirmed COVID‐19 in China, 21.3% and 22.2% of patients presented elevated ALT and AST, respectively. These studies indicated that liver injury is common in patients with COVID‐19. It is reported that 2%‐11% of patients with COVID‐19 had comorbidities of chronic liver diseases (CLDs).( ) Currently, nonalcoholic fatty liver disease (NAFLD), which affects a quarter of the global population, has emerged as the most common CLD.( ) However, the clinical features of patients with COVID‐19 with NAFLD are not clear. This study investigated the clinical features and liver injury in patients with COVID‐19 with NAFLD in a multicenter cohort of patients with COVID‐19 in Jiangsu Province, China.

Patients and Methods

Patients

A total of 342 consecutive patients with confirmed COVID‐19 were retrospectively enrolled from 10 designated hospitals in 10 cities of Jiangsu Province, China, between January 18, 2020, and February 26, 2020. The follow‐up data of clinical outcomes were obtained up to February 29, 2020. The diagnosis of COVID‐19 was based on guidance provided by the World Health Organization (WHO).( ) All patients with COVID‐19 tested positive for SARS‐CoV‐2 in throat swab samples by real‐time polymerase chain reaction in accordance with guidance provided by the WHO.( ) Patients with the following comorbidities were excluded: viral hepatitis (defined by positive serum hepatitis B surface antigen and/or hepatitis C antibody and/or a known history of chronic hepatitis B or chronic hepatitis C), significant alcohol consumption (defined by >30 g/day in men and >20 g/day in women), autoimmune hepatitis, primary biliary cirrhosis, primary sclerosing cholangitis, or any other CLD. Our study was approved by the ethics committee of these hospitals, with a waiver of informed consent.

Data Collection

The epidemiologic, clinical, laboratory, radiologic, treatment, and outcomes data were collected from medical records of all the patients. All relevant data were entered into a computerized database and checked to avoid errors. The upper limit of normal (ULN) of ALT, AST, total bilirubin (Tbil), gamma‐glutamyl transpeptidase (GGT), and alkaline phosphatase (ALP) were 40 U/L, 40 U/L, 20 μmol/L, 50 U/L, and 150 U/L, respectively. Abnormal liver function was defined as any parameter (ALT, AST, GGT, ALP, or Tbil) higher than the ULN.

Definition of NAFLD

We defined NAFLD using the published hepatic steatosis index (HSI) in the absence of other causes of CLD.( ) This index has been validated and used in several studies,( , , , ) and was calculated by using the following equation: HSI = 8 × ( ALT/AST ratio) + body mass index (BMI) (+2, if a female patient; +2, if diabetic).( ) Serum ALT and AST results of the first test after admission were used for the calculation of the HSI. A cutoff of 36 was used to define the presence of NAFLD; this value has been validated and used in several studies.( , , , )

Statistical Analysis

All data were analyzed using IBM SPSS, version 22.0 (IBM, Armonk, NY). Continuous data were presented as median (interquartile range [IQR]). Categorical data were shown as counts and percentages. Continuous variables between the two groups were analyzed using two‐sample t tests or the Mann‐Whitney U test, as appropriate, while categorical variables were analyzed by chi‐square tests or Fisher’s exact tests. Logistic regression was performed to select independent risk factors of elevated ALT (>40 U/L). Variables having P < 0.05 in univariate analysis were used for multivariate input logistic regression analysis. P < 0.05 was considered statistically significant.

Results

Demographic Characteristics and Onset Symptoms

Of the 342 patients with COVID‐19, 34 patients without BMI data and 7 patients with insufficient biochemistry data were excluded; 7 patients with alcohol abuse and 14 patients with other CLDs, such as chronic hepatitis B, were also excluded (Fig. 1). A total of 280 patients with COVID‐19 were included for the final analysis; 52.1% of the patients were men, and the median age was 43.0 (IQR, 32.0‐56.0) years. The median BMI was 24.2 (IQR, 21.9‐26.2) kg/m2, and 38 (13.6%) of 280 patients met the diagnostic criteria of obesity (BMI ≥28 kg/m2). The median time from symptom onset to admission was 5.0 (IQR, 2.0‐8.0) days.
Fig. 1

Flow chart of patient selection.

Flow chart of patient selection. Fever (187 [66.8%]) and cough (156 [55.7%]) were the most common symptoms, followed by fatigue (58 [20.7%]), sore throat (32 [11.4%]), muscle ache (28 [10.0%]), shortness of breath (23 [8.2%]), and headache (19 [6.8%]). Seventy‐one (25.4%) patients had one or more underlying medical conditions, including hypertension (45 [16.1%]), diabetes (21 [7.5%]), chronic lung diseases (10 [3.6%]), and malignant tumor (4 [1.4%]). More than half of the patients (58.6%) had contact with suspected or confirmed patients within 2 weeks of onset symptoms (Table 1).
Table 1

Demographic and Epidemiologic Characteristics of Patients With COVID‐19 With and Without NAFLD

Variables (n [%] or Median [IQR])All Patients (N = 280)Non‐NAFLD (n = 194)NAFLD (n = 86) P Value
Age (years)43.0 (32.0‐56.0)42.5 (31.8‐57.3)43.5 (32.8‐53.3)0.924
Age range0.747
≤50 years185 (66.1)127 (65.5)58 (67.4)
>50 years95 (33.9)67 (34.5)28 (32.6)
Sex0.181
Male146 (52.1)96 (49.5)50 (58.1)
Female134 (47.9)98 (50.5)36 (41.9)
BMI (kg/m2)24.2 (21.9‐26.2)23.1 (21.0‐24.8)27.1 (25.3‐29.7)<0.001
BMI range<0.001
<28 kg/m2 242 (86.4)191 (98.5)51 (59.3)
≥28 kg/m2 38 (13.6)3 (1.5)35 (40.7)
Onset signs and symptoms
Fever187 (66.8)132 (68.0)55 (64.0)0.503
Cough156 (55.7)109 (56.2)47 (54.7)0.812
Fatigue58 (20.7)42 (21.6)16 (18.6)0.562
Sore throat32 (11.4)22 (11.3)10 (11.6)0.944
Muscle ache28 (10.0)21 (10.8)7 (8.1)0.49
Shortness of breath23 (8.2)16 (8.2)7 (8.1)0.976
Headache19 (6.8)16 (8.2)3 (3.5)0.144
Comorbidities
Any comorbidity71 (25.4)44 (22.7)27 (31.4)0.122
Hypertension45 (16.1)27 (13.9)18 (20.9)0.118
Diabetes21 (7.5)11 (5.7)10 (11.6)0.081
Chronic lung diseases10 (3.6)8 (4.1)2 (2.3)0.454
Malignant tumor4 (1.4)2 (1.0)2 (2.3)0.4
Exposure history
Contact with suspected or confirmed patients164 (58.6)114 (58.8)50 (58.1)0.922
Contacted with people from Wuhan or non‐Wuhan areas of Hubei Province102 (36.4)77 (39.7)25 (29.1)0.088
Visited Wuhan or non‐Wuhan areas of Hubei Province97 (34.6)67 (34.5)30 (34.9)0.955
Time from symptom onset to admission (days)5.0 (2.0‐8.0)5.0 (3.0‐8.0)4.5 (2.0‐8.0)0.258
Demographic and Epidemiologic Characteristics of Patients With COVID‐19 With and Without NAFLD Eighty‐six (30.7%) of 280 patients with COVID‐19 were diagnosed as having NAFLD by HSI in our study. BMI levels (median, 27.1 kg/m2 vs. 23.1 kg/m2; P < 0.001) and the proportion of obesity (40.7% vs. 1.5%; P < 0.001) in patients with NAFLD were significantly higher than patients without NAFLD; however, age and sex were comparable between the two groups. There were also no significant differences in symptoms, comorbidities, and exposure history between the two groups (Table 1).

Laboratory and Radiology Examination

On admission, the baseline white blood cells and lymphocyte levels were 4.9 (IQR, 3.9‐6.2) × 109/L and 1.2 (IQR, 0.9‐1.6) × 109/L, respectively. Leukopenia and lymphopenia were observed in 25.4% and 26.8% of patients, respectively. One hundred (35.7%) patients presented with abnormal liver function on admission. Serum ALT (56 [20.0%]) was the most frequent abnormal parameter, followed by GGT (42 [15.0%]), AST (38 [13.6%]), Tbil (26 [9.3%]), and ALP (7 [2.5%]) on admission. The median baseline levels of ALT, AST, GGT, Tbil, ALP, fasting blood glucose, triglyceride, and total cholesterol were 25.0 (IQR, 19.0‐37.0) U/L, 24.8 (IQR, 20.0‐32.0) U/L, 25.0 (IQR, 15.0‐39.0) U/L, 10.2 (IQR, 7.1‐15.0) μmol/L, 63.0 (IQR, 51.0‐75.0) U/L, 5.7 (IQR, 5.0‐6.4) mmol/L, 1.2 (IQR, 0.9‐1.6) mmol/L, and 3.8 (IQR, 3.3‐4.5) mmol/L, respectively. A total of 255 (91.1%) patients presented abnormal chest computed tomography (CT) images (Table 2).
Table 2

Baseline Laboratory Parameters and Chest CT of Patients With COVID‐19 With and Without NAFLD

Variables (n [%] or Median [IQR])All Patients (N = 280)Non‐NAFLD (n = 194)NAFLD (n = 86) P Value
WBC (×109/L)4.9 (3.9‐6.2)4.7 (3.7‐5.8)5.5 (4.2‐6.8)<0.001
Decreased71 (25.4)58 (29.9)13 (15.1)0.009
Lymphocytes (×109/L)1.2 (0.9‐1.6)1.2 (0.9‐1.6)1.4 (0.9‐1.8)0.041
Decreased75 (26.8)61 (31.4)14 (16.3)0.008
ALT (U/L)25.0 (19.0‐37.0)23.0 (15.8‐30.0)34.5 (25.0‐50.5)<0.001
>40 U/L56 (20.0)21 (10.8)35 (40.7)<0.001
AST (U/L)24.8 (20.0‐32.0)24.0 (19.0‐32.0)26.0 (20.0‐33.3)0.222
>40 U/L38 (13.6)24 (12.4)14 (16.3)0.378
GGT (U/L)25.0 (15.0‐39.0)21.0 (14.0‐33.0)34.0 (19.8‐48.3)<0.001
>50 U/L42 (15.0)22 (11.3)20 (23.3)0.01
Tbil (μmol/L)10.2 (7.1‐15.0)10.1 (7.0‐14.3)10.9 (7.8‐16.3)0.077
>20 μmol/L26 (9.3)13 (6.7)13 (15.1)0.025
ALP (U/L)63.0 (51.0‐75.0)62.0 (51.0‐77.0)63.0 (51.3‐72.8)0.617
>150 U/L7 (2.5)7 (3.6)00.074
FBG (mmol/L)5.7 (5.0‐6.4)5.6 (4.9‐6.2)5.7 (5.1‐7.0)0.116
TG (mmol/L)1.2 (0.9‐1.6)1.1 (0.8‐1.5)1.4 (1.0‐1.9)0.004
TC (mmol/L)3.8 (3.3‐4.5)3.7 (3.2‐4.4)3.9 (3.4‐4.6)0.078
Chest CT0.727
No pneumonia25 (8.9)19 (9.8)6 (7.0)
Unilateral pneumonia37 (13.2)26 (13.4)11 (12.8)
Bilateral pneumonia218 (77.9)149 (76.8)69 (80.2)

Abbreviations: TC, total cholesterol; TG, triglyceride; WBC, white blood cells.

Baseline Laboratory Parameters and Chest CT of Patients With COVID‐19 With and Without NAFLD Abbreviations: TC, total cholesterol; TG, triglyceride; WBC, white blood cells. The proportion of leukopenia (29.9% vs. 15.1%; P = 0.009) and lymphopenia (31.4% vs. 16.3%; P = 0.008) was higher in patients without NAFLD than with NAFLD. The median ALT levels (34.5 U/L vs. 23.0 U/L; P < 0.001) and the proportion of elevated ALT (40.7% vs. 10.8%; P < 0.001) in patients with NAFLD were significantly higher than in patients without NAFLD. Patients with NAFLD also presented higher GGT levels (34.0 U/L vs. 21.0 U/L; P < 0.001) and a higher proportion of GGT elevation (22.3% vs. 11.3%; P = 0.01) than patients without NAFLD. However, there were no significant differences in the median serum AST, Tbil, and ALP levels between the two groups. The proportion of abnormalities of chest CT images was also similar between the two groups (Table 2).

Dynamic Changes of Liver Function Tests During Hospitalization

The highest levels of liver function tests for each patient during hospitalization were selected for the analysis. During hospitalization, 176 (62.9%) patients presented abnormal liver function tests, including 131 (46.8%) patients with elevated ALT, 92 (32.9%) with elevated GGT, 74 (26.4%) with elevated AST, 72 (25.7%) with elevated Tbil, and 10 (3.6%) with elevated ALP. Among these patients, 76 (43.2%) patients had normal liver function on admission. The median peak values of ALT, AST, GGT, Tbil, and ALP were 39.0 (IQR, 24.0‐66.0) U/L, 28.0 (IQR, 22.0‐42.0) U/L, 34.0 (IQR, 18.0‐60.0) U/L, 14.7 (IQR, 10.4‐20.5) μmol/L, and 68.0 (IQR, 56.0‐84.0) U/L during hospitalization, respectively. During hospitalization, the proportion of elevated ALT in patients with NAFLD was significantly higher than in patients without NAFLD (65.1% vs. 38.7%; P < 0.001), while the proportion of elevated Tbil, AST, GGT, and ALP was comparable between the two groups. The median peak values of ALT (54.0 U/L vs. 33.0 U/L; P < 0.001) and GGT (43.0 U/L vs. 28.0 U/L; P < 0.001) were significantly higher in patients with NAFLD than in those without NAFLD during hospitalization. However, the median peak values of AST, Tbil, and ALP were comparable between the two groups (Table 3).
Table 3

Laboratory Parameters in Patients With COVID‐19 Patients With and Without NAFLD During Hospitalization

Variables (n [%] or Median [IQR])All Patients (N = 280)Non‐NAFLD (n = 194)NAFLD (n = 86) P Value
ALT
>40 U/L131 (46.8)75 (38.7)56 (65.1)<0.001
Median peak levels (U/L)39.0 (24.0‐66.0)33.0 (22.0‐58.8)54.0 (31.7‐78.0)<0.001
AST
>40 U/L74 (26.4)51 (26.3)23 (26.7)0.936
Median peak levels (U/L)28.0 (22.0‐42.0)27.5 (22.0‐42.0)31.0 (23.0‐42.0)0.255
GGT
>50 U/L92 (32.9)57 (29.4)35 (40.7)0.063
Median peak levels (U/L)34.0 (18.0‐60.0)28.0 (16.0‐54.8)43.0 (31.2‐66.5)<0.001
Tbil
>20 μmol/L72 (25.7)49 (25.3)23 (26.7)0.793
Median peak levels (μmol/L)14.7 (10.4‐20.5)14.8 (10.3‐20.4)14.7 (10.8‐20.9)0.569
ALP
>150 U/L10 (3.6)9 (4.6)1 (1.2)0.148
Median peak levels (U/L)68.0 (56.0‐84.0)67.5 (55.0‐84.8)68.0 (58.0‐81.5)0.905
Laboratory Parameters in Patients With COVID‐19 Patients With and Without NAFLD During Hospitalization

Risk Factors of Elevated ALT During Hospitalization

Logistic regression analysis was performed to identify the risk factors of elevated ALT (>40 U/L) in patients with COVID‐19. Univariate analysis revealed that age >50 years (odds ratio [OR], 1.847; 95% confidence interval [CI], 1.120, 3.047; P = 0.016), male sex (OR, 1.753; 95% CI, 1.090, 2.819; P = 0.021), BMI ≥28 kg/m2 (OR, 2.467; 95% CI, 1.205, 5.052; P = 0.014), concurrent NAFLD (OR, 2.962; 95% CI, 1.745, 5.028; P < 0.001), severe illness (OR, 6.133; 95% CI, 2.259, 16.652; P < 0.001), intensive care unit (ICU) admission (OR, 4.338; 95% CI, 1.391, 13.530; P = 0.011), and atomized inhalation of interferon (IFN)α‐2b (OR, 0.389; 95% CI, 0.239, 0.633; P < 0.001) were associated with elevated ALT levels (Table 4). Further multivariate analysis showed that age over 50 years (OR, 2.077; 95% CI, 1.183, 3.648; P = 0.011) and concurrent NAFLD (OR, 2.956; 95% CI, 1.526, 5.726; P = 0.001) were two independent risk factors of ALT elevation, while atomized inhalation of IFNα‐2b (OR, 0.402; 95% CI, 0.236, 0.683; P = 0.001) was related to a reduced risk of ALT elevation.
Table 4

Risk Factors of Elevated ALT (>40 U/L) During Hospitalization in Patients With COVID‐19

VariablesUnivariateMultivariate
OR (95% CI) P ValueOR (95% CI) P Value
Age
≤50 yearsReference
>50 years1.847 (1.120, 3.047)0.0162.077 (1.183, 3.648)0.011
Sex
FemaleReference
Male1.753 (1.090, 2.819)0.0211.646 (0.975, 2.778)0.062
BMI
<28 kg/m2 Reference
≥28 kg/m2 2.467 (1.205, 5.052)0.0140.901 (0.360, 2.258)0.825
NAFLD
NoReference
Yes2.962 (1.745, 5.028)<0.0012.956 (1.526, 5.726)0.001
Severe illness
NoReference
Yes6.133 (2.259, 16.652)<0.0014.009 (0.966, 16.638)0.056
ICU
NoReference
Yes4.338 (1.391, 13.530)0.0110.931 (0.175, 4.946)0.933
Hypertension
NoReference
Yes0.576 (0.297, 1.116)0.102
Diabetes
NoReference
Yes0.842 (0.343, 2.067)0.708
Atomized inhalation of IFNα‐2b
NoReference
Yes0.389 (0.239, 0.633)<0.0010.402 (0.236, 0.683)0.001
Lopinavir/ritonavir
NoReference
Yes1.244 (0.733, 2.111)0.418
Arbidol
NoReference
Yes1.218 (0.761, 1.949)0.411
Risk Factors of Elevated ALT (>40 U/L) During Hospitalization in Patients With COVID‐19

Treatment and Clinical Prognosis

Atomized inhalation of IFNα‐2b, lopinavir/ritonavir, and arbidol were the most commonly used antiviral drugs in our study; these account for 57.1%, 72.5%, and 49.3% of the patients, respectively (Table 5), while 73.6% of patients received empirical antibiotic treatment. In addition, 73 (26.1%) patients were given corticosteroids, and 35 (12.5%) patients were treated with gamma globulin. Up to February 29, 2020, a total of 22 (7.9%) patients developed respiratory failure and 4 (1.4%) patients progressed to acute respiratory distress syndrome (ARDS). However, no patient developed liver failure and death. Twenty‐eight (10.0%) patients were transferred to the ICU during hospitalization. As of February 29, 2020, 69 (24.6%) patients were still hospitalized. The treatment drugs, complications, and clinical outcomes were comparable between patients with and without NAFLD.
Table 5

Treatment, Complications, and Outcomes of Patients With COVID‐19 With and Without NAFLD

Variables (n [%])All Patients (N = 280)Non‐NAFLD (n = 194)NAFLD (n = 86) P Value
Drug treatment
Atomized inhalation of IFNα‐2b160 (57.1)116 (59.8)44 (51.2)0.178
Lopinavir/ritonavir203 (72.5)144 (74.2)59 (68.6)0.331
Arbidol138 (49.3)92 (47.4)46 (53.5)0.349
Antibiotic206 (73.6)141 (72.7)65 (75.6)0.612
Glucocorticoid73 (26.1)47 (24.2)26 (30.2)0.291
Gamma globulin35 (12.5)21 (10.8)14 (16.3)0.203
Complications
Respiratory failure22 (7.9)12 (6.2)10 (11.6)0.118
ARDS4 (1.4)2 (1.0)2 (2.3)0.4
Liver failure000
Outcomes
Remained in hospital69 (24.6)46 (23.7)23 (26.7)0.587
Hospital discharge211 (75.4)148 (76.3)63 (73.3)0.587
Severe illness28 (10.0)16 (8.2)12 (14.0)0.142
Admission to ICU18 (6.4)13 (6.7)5 (5.8)0.78
Death000
Treatment, Complications, and Outcomes of Patients With COVID‐19 With and Without NAFLD

Discussion

In our study, 30.7% of patients with COVID‐19 had NAFLD. The global prevalence of NALFD is 6.3%‐45% in the general population.( , ) In most Asian countries, the prevalence of NAFLD is above 25%.( ) A recent meta‐analysis of NAFLD in Mainland China reported that the overall prevalence of NAFLD is about 30%.( ) Thus, the rate of concurrent NAFLD in patients with COVID‐19 in our study is consistent with the prevalence of NALFD in the general population in China, indicating that concurrent NAFLD may not be a risk factor of SARS‐CoV‐2 infection. Consistent with other studies,( , ) the most common symptoms were fever (66.8%) and cough (55.7%). However, the common symptoms were not significantly different between NAFLD and non‐NAFLD groups. The most common laboratory abnormalities that we observed were leukopenia and lymphopenia. Fewer patients with COVID‐19 with NAFLD had leukopenia and lymphopenia compared with patients without NAFLD. These findings need to be validated in the future, and the mechanisms deserve further investigation. We found that 37.3% of patients presented abnormal liver function on admission; the most common included elevated ALT, AST, and GGT. Previous research also reported that 14%‐53% of COVID‐19 cases reported abnormal levels of ALT and AST.( ) In the study by Zhang et al.,( ) elevated GGT was observed in 30 (54%) of 56 patients with COVID‐19. Thus, the proportions of elevated ALT, AST, and GGT in our study were consistent with reported data. However, we found that median levels of ALT and GGT as well as the proportion of elevated ALT and GGT were higher in patients with NAFLD compared to patients without NAFLD on admission. Furthermore, patients with NAFLD had a higher proportion of elevated ALT levels and higher peak ALT levels during hospitalization compared to those without NAFLD. Logistic regression analysis also confirmed that NAFLD was associated with elevated ALT in our study. These results indicate that patients with NAFLD are more likely to develop abnormal liver function after infection by SARS‐CoV‐2. However, the levels of elevated ALT, AST, and GGT were generally not high on admission or during hospitalization in our study. All patients with NAFLD with abnormal liver function tests showed mild to moderate liver damage; severe liver injury and liver failure were not observed in patients with or without NAFLD. Previous studies also reported that few patients developed severe liver‐related complications.( , ) Currently, the mechanisms of COVID‐19‐related liver injury are not clear. It is reported that SARS‐CoV‐2 may directly cause liver injury through angiotensin converting enzyme 2 (ACE2) expressed in cytomembranes.( ) Both liver cells and bile duct cells express ACE2.( ) Thus, both hepatocyte and cholangiocyte injury may occur in COVID‐19. In our study, besides ALT and AST, increased GGT, which is a diagnostic biomarker for cholangiocyte injury, was also observed. Drug‐induced liver injury may be another possible contributing factor to the observed abnormal liver function test because some patients developed liver function abnormalities after therapeutics began.( ) However, mild elevations of liver enzymes, such as ALT, are also common in NAFLD.( ) Further investigations are needed to understand the mechanisms of liver injury caused by the interaction between existing NAFLD and COVID‐19. We analyzed the risk factors of liver injury in COVID‐19. Age over 50 years was a risk factor of ALT elevation. Thus, more attention should be paid to elderly patients. We found atomized inhalation of IFNα‐2b to be related to a reduced risk of ALT >40 U/L. One interpretation may be that atomized inhalation of IFNα‐2b suppresses SARS‐CoV‐2 and reduces liver impairment caused by the virus. However, further studies are needed to confirm our hypothesis. In our study, only 7.9% of patients developed respiratory failure and 1.4% progressed to ARDS; 6.4% of patients were transferred to the ICU during hospitalization, but no patient died. However, the complications and clinical outcomes were comparable between patients with and without NAFLD. Although more patients with NAFLD presented abnormal liver function, concurrent NAFLD is not associated with adverse clinical outcomes in patients with COVID‐19. Most of our patients were young, and the proportion of comorbidities was relatively low in our study, which may be associated with the good prognosis of our cohort. Ji et al.( ) reported the prevalence of NAFLD in progressive patients with COVID‐19 was higher than stable patients (87.2% vs. 25.8%); however, the median age and comorbidities in progressive patients with COVID‐19 were also significantly higher than stable patients. Another study revealed that concurrent NAFLD increased the risk of progression to severe COVID‐19 in patients without diabetes, but the sample size was relatively small.( ) Thus, the impacts of NAFLD on the prognosis of COVID‐19 deserve further investigation. In general, the prevalence of diabetes mellitus (DM) is higher in patients with NAFLD than those without NAFLD.( ) We found the incidence of DM in patients with NAFLD (11.6%) to be higher than those without NAFLD (5.7%). However, there was no significant difference of incidence of DM between these two groups (P = 0.081). A possible reason may be the relatively small sample size with only 21 patients (7.5%) having DM in our study. We found fasting blood glucose (FBG) levels to be comparable between patients with NAFLD and those without NAFLD. However, all patients were diagnosed with DM before SARS‐CoV‐2 infection. These patients have been treated with hypoglycemic drugs, which may partially interpret the comparable FBG levels between the two groups. This study has some limitations. First, using the HSI to define NAFLD in the absence of known liver disease may misclassify and under/overestimate the presence of NAFLD. However, HSI was proposed by Lee et al.( ) as a diagnostic tool for NAFLD and has been validated by several studies with acceptable diagnostic accuracy.( , , , ) Due to the emergency situation, liver histology and/or radiologically for the diagnosis of NAFLD was not available in our study. Although liver histology is considered to be the gold standard for the diagnosis of NAFLD, it cannot be conducted on the general population or for patients with COVID‐19. Second, patients with NAFLD have been reported to have a greater chance of developing drug‐induced hepatotoxicity, and this may have contributed to the greater AST/ALT values and impact the HSI scores.( , , , ) Third, the fibrosis stages of patients were not assessed in our cohort. FibroScan is a promising measurement to assess the presence of NAFLD and fibrosis stages in CLDs.( , ) However, FibroScan is not a routine test for patients with COVID‐19, and the information was not available for our study. Prospective studies using imaging or even histology to determine the presence of NAFLD and fibrosis stages of patients are needed to confirm the impacts of NAFLD on COVID‐19. In conclusion, patients with NAFLD are more likely to develop liver injury when infected by SARS‐CoV‐2. However, no patient with COVID‐19 with NAFLD developed severe liver injury during hospitalization. Further prospective studies are needed to confirm our findings.
  18 in total

1.  Elevated liver enzymes in hospitalized patients with COVID-19 in Singapore.

Authors:  Jinghao Nicholas Ngiam; Nicholas Chew; Sai Meng Tham; Zhen Yu Lim; Tony Yi-Wei Li; Shuyun Cen; Paul Anantharajah Tambyah; Amelia Santosa; Mark Muthiah; Ching-Hui Sia; Gail Brenda Cross
Journal:  Medicine (Baltimore)       Date:  2021-07-30       Impact factor: 1.817

Review 2.  Coronavirus disease 2019 severity in obesity: Metabolic dysfunction-associated fatty liver disease in the spotlight.

Authors:  Isabela Macedo Lopes Vasques-Monteiro; Vanessa Souza-Mello
Journal:  World J Gastroenterol       Date:  2021-04-28       Impact factor: 5.742

3.  Not Only High Number and Specific Comorbidities but Also Age Are Closely Related to Progression and Poor Prognosis in Patients With COVID-19.

Authors:  Dafeng Liu; Yongli Zheng; Jun Kang; Dongmei Wang; Lang Bai; Yi Mao; Guifang Zha; Hong Tang; Renqing Zhang
Journal:  Front Med (Lausanne)       Date:  2022-01-07

Review 4.  Management of COVID-19 patients with chronic liver diseases and liver transplants.

Authors:  Xinyu Hu; Longyan Sun; Zhaoyang Guo; Chao Wu; Xin Yu; Jie Li
Journal:  Ann Hepatol       Date:  2021-12-18       Impact factor: 3.388

5.  Abnormal liver tests and non-alcoholic fatty liver disease predict disease progression and outcome of patients with COVID-19.

Authors:  Simona Tripon; Pascal Bilbault; Thibaut Fabacher; Nicolas Lefebvre; Sylvain Lescuyer; Emmanuel Andres; Elise Schmitt; Sabrina Garnier-KepKA; Pierrick Le Borgne; Joris Muller; Hamid Merdji; Frédéric Chaffraix; Didier Mutter; Thomas F Baumert; Ferhat Meziani; Michel Doffoel
Journal:  Clin Res Hepatol Gastroenterol       Date:  2022-02-25       Impact factor: 3.189

Review 6.  COVID-19 impact on the liver.

Authors:  Liliana Baroiu; Caterina Dumitru; Alina Iancu; Ana-Cristina Leșe; Miruna Drăgănescu; Nicușor Baroiu; Lucreția Anghel
Journal:  World J Clin Cases       Date:  2021-06-06       Impact factor: 1.337

Review 7.  Liver injury in COVID-19: Detection, pathogenesis, and treatment.

Authors:  Yue Cai; Li-Ping Ye; Ya-Qi Song; Xin-Li Mao; Li Wang; Yan-Zhi Jiang; Wei-Tao Que; Shao-Wei Li
Journal:  World J Gastroenterol       Date:  2021-06-14       Impact factor: 5.742

8.  NAFLD and COVID-19: a Pooled Analysis.

Authors:  Sonali Sachdeva; Harshwardhan Khandait; Jonathan Kopel; Mark M Aloysius; Rupak Desai; Hemant Goyal
Journal:  SN Compr Clin Med       Date:  2020-11-06

Review 9.  Findings from Studies Are Congruent with Obesity Having a Viral Origin, but What about Obesity-Related NAFLD?

Authors:  Giovanni Tarantino; Vincenzo Citro; Mauro Cataldi
Journal:  Viruses       Date:  2021-07-01       Impact factor: 5.048

Review 10.  COVID-19 and the Liver: Lessons Learnt from the EAST and the WEST, A Year Later.

Authors:  Sirina Ekpanyapong; Chalermrat Bunchorntavakul; K Rajender Reddy
Journal:  J Viral Hepat       Date:  2021-08-12       Impact factor: 3.517

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