Genetic Predictors of Comorbid Course of COVID-19 and MAFLD: A Comprehensive Analysis (preprint)

Metabolic-associated fatty liver disease (MAFLD) and its potential impact on the severity of COVID-19 have gained significant attention during the pandemic. This review aimed to explore the genetic determinants associated with MAFLD, previously recognized as non-alcoholic fatty liver disease (NAFLD), and their potential influence on COVID-19 outcomes. Various genetic polymorphisms, including PNPLA3 (rs738409), GCKR (rs780094), TM6SF2 (rs58542926), and LYPLAL1 (rs12137855), have been investigated in relation to MAFLD susceptibility and progression. Genome-wide association studies and meta-analyses have revealed associations between these genetic variants and MAFLD risk, as well as their effects on lipid metabolism, glucose regulation, and liver function. Furthermore, emerging evidence suggests a possible connection between these MAFLD-associated polymorphisms and the severity of COVID-19. Studies exploring the association between indicated genetic variants and COVID-19 outcomes have shown conflicting results. Some studies observed a potential protective effect of certain variants against severe COVID-19, while others reported no significant associations. This review highlights the importance of understanding the genetic determinants of MAFLD and its potential implications for COVID-19 outcomes. Further research is needed to elucidate the precise mechanisms linking these genetic variants to disease severity and to develop gene profiling tools for early prediction of COVID-19 outcomes. If confirmed as determinants of disease severity, these genetic polymorphisms could aid in identifying high-risk individuals and improving the management of COVID-19.

Attitudes of vaccination workers toward COVID-19 vaccination in patients with chronic liver disease (preprint)

Objectives Vaccination workers play an important role in the acceptance of various vaccines in patients with chronic liver diseases. We mainly investigated the attitude of vaccination workers toward COVID-19 vaccination in patients with chronic liver disease.Methods An anonymous, population-based, cross-sectional online survey were completed by 721 out of 1008 (71.5%) vaccination workers from July 1st to July 14th, 2022, in patients with chronic liver disease in Taizhou, China. The data were uploaded to Wen-Juan-Xing, one of the largest online platforms for collecting survey data.Results We found that only 51.9% of vaccination workers recommended all chronic liver diseases vaccinations. 81% of vaccination workers fully recommended vaccination in patients with fatty liver and chronic hepatitis B, while 53.1% of them fully recommended in patients with cirrhosis and liver cancer. Logistic regression analysis showed that vaccination workers who had undergone systematic training were more likely to recommend that patients with four chronic liver diseases get vaccinated (OR: 1.59; 95% CI: 1.05–2.43, p = 0.030). Vaccination workers that believed it is safe to vaccinate against patients with four chronic liver diseases were likely to recommend (OR: 8.12; 95% CI: 1.84–35.88, p = 0.006).Conclusion Vaccination workers who hold a positive attitude towards recommending vaccination for patients with chronic liver disease needs to be improved. Strengthening the training of vaccination workers could improve vaccine immunization coverage.

Association of gynecomastia and fatty liver and epicardial fat in COVID-19 patients (preprint)

Objectives: We aimed to determine the association between gynecomastia, hepatic steatosis through liver density and epicardial fat thickness in CT-scans of COVID-19 patients. Methods and Materials: In this descriptive-analytical cross-sectional study, Gynecomastia, fatty liver and epicardial fat were measured using CT-scan. The collected data were analyzed using Graphpad Prism 9 software. A significance level of less than 0.05 was considered. Results: Among 341 men hospitalized with COVID-19 infection, 35 (10%) were admitted to intensive care unit (ICU) and 62 (18%) died. The prevalence of gynecomastia and fatty liver was 35% and 20% respectively. Patients' age had a direct positive correlation with mortality (r=0.21, P<0.001) and epicardial fat (r=0.28, P<0.001). Bilateral gynecomastia was not associated with mortality or ICU admission, the prevalence of fatty liver, and the amount of epicardial and retro-areolar fat. However, right-sided gynecomastia was associated with the prevalence of fatty liver (r=0.11 and P=0.05) and left-sided gynecomastia was associated with epicardial fat (r=0.14 and P=0.01). In this study, the prevalence of fatty liver was positively correlated to the amount of epicardial fat (r = 0.12, P = 0.02) and retro-areolar fat (r = 0.34, P < 0.001). Conclusion: Bilateral gynecomastia was not associated with mortality or ICU admission, prevalence of fatty liver, and epicardial and retro-areolar fat volume. But right-sided gynecomastia was associated with the prevalence of fatty liver and left sided gynecomastia was associated with epicardial fat. The amount of retro-areolar fat was recognized as a risk factor for the death of patients.

The Intersection of COVID-19 and MAFLD: An Overview of the Current Evidence (preprint)

The global population is currently experiencing the impact of the SARS-CoV-2 coronavirus, which has caused the Coronavirus Disease 2019 (COVID-19) pandemic. By our profound comprehension of COVID-19, encompassing the involvement sequence of the respiratory tract, gastrointestinal system, and cardiovascular apparatus, the multiorgan symptoms of this infectious disease have been discerned. Metabolic-associated fatty liver disease (MAFLD) is a pervasive public health concern, intricately linked with metabolic dysregulation and estimated to afflict one-fourth of the global adult population. The burgeoning focus on the association between COVID-19 and metabolic dysfunction-associated fatty liver disease (MAFLD) is justified by the potential role of the latter as a risk factor for both SARS-CoV-2 infection and the subsequent emergence of severe COVID-19 symptoms. Investigations have suggested that changes in both innate and adaptive immune responses among metabolic dysfunction-associated fatty liver disease (MAFLD) patients may play a role in determining the severity of COVID-19. The remarkable similarities observed in the cytokine pathways implicated in both diseases imply the existence of shared mechanisms governing the chronic inflammatory responses characterizing these conditions. The effect of metabolic dysfunction-associated fatty liver disease (MAFLD) on the severity of COVID-19 illness remains uncertain, as indicated by conflicting results in cohort investigations.

Predicting model of mild and severe types of COVID-19 patients using Thymus CT radiomics model: A preliminary study.

OBJECTIVE: To predict COVID-19 severity by building a prediction model based on the clinical manifestations and radiomic features of the thymus in COVID-19 patients. METHOD: We retrospectively analyzed the clinical and radiological data from 217 confirmed cases of COVID-19 admitted to Xiangyang NO.1 People's Hospital and Jiangsu Hospital of Chinese Medicine from December 2019 to April 2022 (including 118 mild cases and 99 severe cases). The data were split into the training and test sets at a 7:3 ratio. The cases in the training set were compared in terms of clinical data and radiomic parameters of the lasso regression model. Several models for severity prediction were established based on the clinical and radiomic features of the COVID-19 patients. The DeLong test and decision curve analysis (DCA) were used to compare the performances of several models. Finally, the prediction results were verified on the test set. RESULT: For the training set, the univariate analysis showed that BMI, diarrhea, thymic steatosis, anorexia, headache, findings on the chest CT scan, platelets, LDH, AST and radiomic features of the thymus were significantly different between the two groups of patients (P < 0.05). The combination model based on the clinical and radiomic features of COVID-19 patients had the highest predictive value for COVID-19 severity [AUC: 0.967 (OR 0.0115, 95%CI: 0.925-0.989)] vs. the clinical feature-based model [AUC: 0.772 (OR 0.0387, 95%CI: 0.697-0.836), P < 0.05], laboratory-based model [AUC: 0.687 (OR 0.0423, 95%CI: 0.608-0.760), P < 0.05] and model based on CT radiomics [AUC: 0.895 (OR 0.0261, 95%CI: 0.835-0.938), P < 0.05]. DCA also confirmed the high clinical net benefits of the combination model. The nomogram drawn based on the combination model could help differentiate between the mild and severe cases of COVID-19 at an early stage. The predictions from different models were verified on the test set. CONCLUSION: Severe cases of COVID-19 had a higher level of thymic involution. The thymic differentiation in radiomic features was related to disease progression. The combination model based on the radiomic features of the thymus could better promote early clinical intervention of COVID-19 and increase the cure rate.

Obesity-Associated Hepatic Steatosis, Somatotropic Axis Impairment, and Ferritin Levels Are Strong Predictors of COVID-19 Severity.

The full spectrum of SARS-CoV-2-infected patients has not yet been defined. This study aimed to evaluate which parameters derived from CT, inflammatory, and hormonal markers could explain the clinical variability of COVID-19. We performed a retrospective study including SARS-CoV-2-infected patients hospitalized from March 2020 to May 2021 at the Umberto I Polyclinic of Rome. Patients were divided into four groups according to the degree of respiratory failure. Routine laboratory examinations, BMI, liver steatosis indices, liver CT attenuation, ferritin, and IGF-1 serum levels were assessed and correlated with severity. Analysis of variance between groups showed that patients with worse prognoses had higher BMI and ferritin levels, but lower liver density, albumin, GH, and IGF-1. ROC analysis confirmed the prognostic accuracy of IGF-1 in discriminating between patients who experienced death/severe respiratory failure and those who did not (AUC 0.688, CI: 0.587 to 0.789, p < 0.001). A multivariate analysis considering the degrees of severity of the disease as the dependent variable and ferritin, liver density, and the standard deviation score of IGF-1 as regressors showed that all three parameters were significant predictors. Ferritin, IGF-1, and liver steatosis account for the increased risk of poor prognosis in COVID-19 patients with obesity.

Evaluation of liver stiffness using ultrasonic shear wave elastography in patients with COVID-19 induced pneumonia.

In patients with COVID-19-induced pneumonia, shear wave elasticity (SWE) was used to assess liver stiffness. This study included 48 cases of COVID-19-induced pneumonia and 48 cases of normal physical examination. Basic and clinical data, including aspartate aminotransferase (AST), were evaluated. Color ultrasonography was used to test the liver's SWE. A biopsy of the liver was also performed. In patients with COVID-19-induced pneumonia, AST and alanine aminotransferase (ALT) levels were higher than those in the control group. Liver SWE showed that liver stiffness is hard (8.745 ± 0.2104) compared with the control group (7.386 ± 0.1521) (P < 0.0001). Pathological biopsy showed that liver inflammation accounted for 89.58%, steatosis accounted for 81.25%, necrosis accounted for 10.42%, and fibrosis accounted for 33.33% in patients with COVID-19-induced pneumonia. ROC curve analysis showed that the SWE is highly sensitive and specific for the diagnosis of liver inflammation and steatosis. The sensitivity was 88.76% and the specificity was 77.01% for the evaluation of liver inflammation. For steatosis, the sensitivity was 90.20%, and the specificity was 78.40%. The SWE of liver is useful to assess liver function and pathological status in COVID-19 patients.

Prognostic performance of an index based on lactic dehydrogenase and transaminases for patients with liver steatosis and COVID-19.

BACKGROUND: Metabolic associated fatty liver disease (MAFLD) is associated with complications and mortality in patients with coronavirus disease 2019 (COVID-19). However, there are no prognostic scores aimed to evaluate the risk of severe disease specifically in patients with MAFLD, despite its high prevalence. Lactate dehydrogenase, aspartate aminotransferase and alanine aminotransferase have been used as markers of liver damage. Therefore, we propose an index based on lactate dehydrogenase, aspartate aminotransferase and alanine aminotransferase for the prediction of complications and mortality in patients with MAFLD and COVID-19. AIM: To evaluate the prognostic performance of an index based on lactate dehydrogenase and transaminases (aspartate aminotransferase/alanine aminotransferase) in patients with COVID-19 and MAFLD [liver fibrosis and nutrition (LNF)-COVID-19 index]. METHODS: In this retrospective cohort study, two cohorts from two different tertiary centers were included. The first was the derivation cohort to obtain the score cutoffs, and the second was the validation cohort. We included hospitalized patients with severe COVID-19 and MAFLD. Liver steatosis was evaluated by computed tomography scan. Area under the receiver operating characteristic (ROC) curve analysis and survival analysis were used. RESULTS: In the derivation cohort, 44.6% had MAFLD; ROC curve analysis yielded a LFN-COVID-19 index > 1.67 as the best cutoff, with a sensitivity of 78%, specificity of 63%, negative predictive value of 91% and an area under the ROC curve of 0.77. In the multivariate analysis, the LFN-COVID-19 index > 1.67 was independently associated with the development of acute kidney injury (odds ratio: 1.8, 95% confidence interval: 1.3-2.5, P < 0.001), orotracheal intubation (odds ratio: 1.9, 95% confidence interval: 1.4-2.4, P < 0.001), and death (odds ratio: 2.86, 95% confidence interval: 1.6-4.5, P < 0.001) in both cohorts. CONCLUSION: LFN-COVID-19 index has a good performance to predict prognosis in patients with MAFLD and COVID-19, which could be useful for the MAFLD population.

Deep-learning-based hepatic fat assessment (DeHFt) on non-contrast chest CT and its association with disease severity in COVID-19 infections: A multi-site retrospective study.

BACKGROUND: Hepatic steatosis (HS) identified on CT may provide an integrated cardiometabolic and COVID-19 risk assessment. This study presents a deep-learning-based hepatic fat assessment (DeHFt) pipeline for (a) more standardised measurements and (b) investigating the association between HS (liver-to-spleen attenuation ratio <1 in CT) and COVID-19 infections severity, wherein severity is defined as requiring invasive mechanical ventilation, extracorporeal membrane oxygenation, death. METHODS: DeHFt comprises two steps. First, a deep-learning-based segmentation model (3D residual-UNet) is trained (N.ß=.ß80) to segment the liver and spleen. Second, CT attenuation is estimated using slice-based and volumetric-based methods. DeHFt-based mean liver and liver-to-spleen attenuation are compared with an expert's ROI-based measurements. We further obtained the liver-to-spleen attenuation ratio in a large multi-site cohort of patients with COVID-19 infections (D1, N.ß=.ß805; D2, N.ß=.ß1917; D3, N.ß=.ß169) using the DeHFt pipeline and investigated the association between HS and COVID-19 infections severity. FINDINGS: The DeHFt pipeline achieved a dice coefficient of 0.95, 95% CI [0.93...0.96] on the independent validation cohort (N.ß=.ß49). The automated slice-based and volumetric-based liver and liver-to-spleen attenuation estimations strongly correlated with expert's measurement. In the COVID-19 cohorts, severe infections had a higher proportion of patients with HS than non-severe infections (pooled OR.ß=.ß1.50, 95% CI [1.20...1.88], P.ß<.ß.001). INTERPRETATION: The DeHFt pipeline enabled accurate segmentation of liver and spleen on non-contrast CTs and automated estimation of liver and liver-to-spleen attenuation ratio. In three cohorts of patients with COVID-19 infections (N.ß=.ß2891), HS was associated with disease severity. Pending validation, DeHFt provides an automated CT-based metabolic risk assessment. FUNDING: For a full list of funding bodies, please see the Acknowledgements.

Fully Automated Deep Learning-enabled Detection for Hepatic Steatosis on Computed Tomography: A Multicenter International Validation Study (preprint)

Despite high global prevalence of hepatic steatosis, no automated diagnostics demonstrated generalizability in detecting steatosis on multiple international datasets. Traditionally, hepatic steatosis detection relies on clinicians selecting the region of interest (ROI) on computed tomography (CT) to measure liver attenuation. ROI selection demands time and expertise, and therefore is not routinely performed in populations. To automate the process, we validated an existing artificial intelligence (AI) system for 3D liver segmentation and used it to purpose a novel method: AI-ROI, which could automatically select the ROI for attenuation measurements. AI segmentation and AI-ROI method were evaluated on 1,014 non-contrast enhanced chest CT images from eight international datasets: LIDC-IDRI, NSCLC-Lung1, RIDER, VESSEL12, RICORD-1A, RICORD-1B, COVID-19-Italy, and COVID-19-China. AI segmentation achieved a mean dice coefficient of 0.957. Attenuations measured by AI-ROI showed no significant differences (p = 0.545) and a reduction of 71% time compared to expert measurements. The area under the curve (AUC) of the steatosis classification of AI-ROI is 0.921 (95% CI: 0.883 - 0.959). If performed as a routine screening method, our AI protocol could potentially allow early non-invasive, non-pharmacological preventative interventions for hepatic steatosis. 1,014 expert-annotated liver segmentations of patients with hepatic steatosis annotations can be downloaded here: https://drive.google.com/drive/folders/1-g_zJeAaZXYXGqL1OeF6pUjr6KB0igJX.

Fatty Liver Change in Korean Adults in a Systematic Social Distancing System Amid the COVID-19 Pandemic: A Multicenter Analysis.

In response to the COVID-19 pandemic, the Korean government implemented policies including the systematic social distancing (SSD) system which started on 28 June 2020. The present study investigated the development and aggravation of fatty liver measured using ultrasonography during the transition period (from pre-SSD to SSD) compared to the fatty liver changes during the pre-SSD period. Changes in fatty liver and liver enzymes were assessed in different groups stratified by alcohol consumption. Our retrospective cohort analysis included 5668 participants who underwent health checkups at 13 university hospitals during the SSD period and two or more checkups before the SSD period. Fatty liver developed and aggravated more in the transition period (13.6% development and 12.0% aggravation) than in the pre-SSD period (10.8% development and 10.1% aggravation) in the alcohol consumption group. This finding was more prominent in women than in men. Abnormal alanine transaminase levels were more often developed in the transition period than in the pre-SSD period, especially in men (11.1% vs. 8.6% in each period). In conclusion, the SSD system may contribute to fatty liver changes in individuals who regularly consume alcohol. Further research of the post-pandemic period is needed to assess long-term changes in fatty liver disease.

The spike of SARS-CoV-2 promotes metabolic rewiring in hepatocytes.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes a multi-organ damage that includes hepatic dysfunction, which has been observed in over 50% of COVID-19 patients. Liver injury in COVID-19 could be attributed to the cytopathic effects, exacerbated immune responses or treatment-associated drug toxicity. Herein we demonstrate that hepatocytes are susceptible to infection in different models: primary hepatocytes derived from humanized angiotensin-converting enzyme-2 mice (hACE2) and primary human hepatocytes. Pseudotyped viral particles expressing the full-length spike of SARS-CoV-2 and recombinant receptor binding domain (RBD) bind to ACE2 expressed by hepatocytes, promoting metabolic reprogramming towards glycolysis but also impaired mitochondrial activity. Human and hACE2 primary hepatocytes, where steatosis and inflammation were induced by methionine and choline deprivation, are more vulnerable to infection. Inhibition of the renin-angiotensin system increases the susceptibility of primary hepatocytes to infection with pseudotyped viral particles. Metformin, a common therapeutic option for hyperglycemia in type 2 diabetes patients known to partially attenuate fatty liver, reduces the infection of human and hACE2 hepatocytes. In summary, we provide evidence that hepatocytes are amenable to infection with SARS-CoV-2 pseudovirus, and we propose that metformin could be a therapeutic option to attenuate infection by SARS-CoV-2 in patients with fatty liver.

Impact of the new definition of metabolic dysfunction-associated fatty liver disease on detection of significant liver fibrosis in US adolescents.

Recently, an expert panel proposed diagnostic criteria for metabolic dysfunction-associated fatty liver disease (MAFLD) in the pediatric population. The aim of this study was to evaluate the prevalence of MAFLD among US adolescents and to investigate whether the new MAFLD definition is able to identify individuals with more advanced liver disease. We analyzed data from participants 12-18 years old included in the 2017-2020 cycles of the National Health and Nutrition Examination Survey, a large survey aimed at including individuals representative of the non-institutionalized general US population. Participants with a complete vibration-controlled transient elastography exam were included. Steatosis was evaluated through the median controlled attenuation parameter (CAP) and fibrosis through median liver stiffness measurement (LSM). Recently proposed criteria for the diagnosis of MAFLD were applied. Multivariable logistic regression analysis was performed to evaluate the impact of the new MAFLD definition on the odds of significant liver fibrosis. We included a total of 1446 adolescents (mean age: 14.9 years; 52.0% male; 47.3% overweight or obese). No participant reported a previous history of viral hepatitis. Steatosis (CAP ≥ 248 dB/m) was present in 25.9% (95% confidence interval [CI] 23.3-28.9) of individuals, and among these, 87.7% met the MAFLD criteria. Only 22.9% of patients with steatosis had elevated alanine aminotransferase levels. Among participants with steatosis, prevalence of significant liver fibrosis (LSM ≥ 7.4 kPa) did not differ significantly according to whether they met MAFLD criteria (9.7% vs. 15.2%, p = 0.276). In the multivariable model, odds of significant fibrosis did not differ significantly between these two groups. MAFLD criteria are met by most US adolescents with elastographic evidence of steatosis. Nonetheless, these criteria do not appear to improve detection of subjects with more advanced liver disease. Further longitudinal studies are needed to evaluate whether metabolic dysfunction is associated with faster progression toward inflammation, fibrosis, and liver-related events.

Four-week omega-3 polyunsaturated fatty acids supplementation for liver left lateral section volume reduction in individuals with morbid obesity undergoing bariatric surgery: A double blind, multicenter, randomized placebo-controlled trial.

BACKGROUND: Liver steatosis in morbidly obese individuals undergoing bariatric surgery increases liver volume and may complicate the surgical procedure. This study aimed to assess whether a 4-week supplementation with omega-3 polyunsaturated fatty acids (PUFA) is effective in reducing liver left lateral section (LLLS) volume. PATIENTS AND METHODS: This randomized controlled trial included morbidly obese individuals with metabolic syndrome undergoing bariatric surgery at 3 French bariatric centers between 2017 and 2020. The experimental group had a 4-week preoperative supplementation with omega-3 PUFA, whereas the control group had only placebo. The primary outcome was the reduction of the LLLS volume measured with Magnetic Resonance Imaging (MRI). RESULTS: 42 patients were randomized and 37 completed the study (19 in the experimental group and 18 in the placebo group). The mean LLLS volume decreased of 3.3% (±9.6) in the experimental group vs 1.0% (±18.3) in the placebo group, indicating that omega-3 PUFA were not effective in reducing the LLLS volume compared to the placebo (p = 0.3741). Omega-3 PUFA supplementation was not effective in reducing total liver volume, liver steatosis, rate of liver injuries during surgery and operative time. CONCLUSION: A 4-week preoperative supplementation with omega-3 PUFA was not effective in reducing LLLS volume in morbidly obese individuals undergoing bariatric surgery.

Correlation between COVID-19 severity, body mass index and radiological hepatic morphology / Correlación entre la gravedad de COVID-19, el índice de masa corporal y la morfología hepática radiológica

SUMMARY: Obesity and fatty liver steatosis are already considered metabolic risk factors which may aggravate the severity of COVID-19. This study aims to investigate the correlation between COVID-19 severity, obesity, and liver steatosis and fibrosis. 230 consecutive patients with laboratory-confirmed COVID-19 aged between 15 and 84? years, admitted to a hospital devoted to COVID-19 patients, were enrolled in the study. COVID-19 severity was classified as severe versus non-severe based on admission to ICU. Obesity was assessed by Body Mass Index (BMI). CT-scan was used to check for the liver steatosis. Fibrosis-4 score was calculated. The study was conducted in March-May 2020. Obesity strongly and positively correlated with severe COVID-19 illness r: 0.760 (P<0.001). Hepatic steatosis had rather less of a correlation with COVID-19 severity r: 0.365 (P<0.001). Multivariable-adjusted association between hepatic steatosis or obesity, or both (as exposure) and COVID-19 severity (as the outcome) revealed increased risk of severe COVID-19 illness with obesity (Adjusted model I OR: 465.3, 95 % CI: 21.9-9873.3, P<0.001), with hepatic steatosis (Adjusted model I OR: 5.1, 95 % CI: 1.2-21.0, P<0.025), and with hepatic steatosis among obese patients (Adjusted model I OR: 132, 95 % CI: 10.3-1691.8, P<0.001). Obesity remained the most noticeable factor that strongly correlated with COVID-19 severity, more than liver steatosis. However, the risk to COVID-19 severity was greater in those with both factors: obesity and liver steatosis.

RESUMEN: La obesidad y la esteatosis del hígado graso ya se consideran factores de riesgo metabólico que pueden empeorar la gravedad de la COVID-19. Este estudio tiene como objetivo investigar la correlación entre la gravedad de COVID- 19, la obesidad y la esteatosis y fibrosis hepática. El estudio se realizó en 230 pacientes consecutivos entre 15 y 84 años con COVID-19 confirmado por laboratorio, ingresados en un hospital dedicado a pacientes con COVID-19. La gravedad de COVID-19 se clasificó como grave, versus no grave según el ingreso a la UCI. La obesidad se evaluó mediante el índice de masa corporal (IMC). Se utilizó una tomografía computarizada para verificar la esteatosis hepática. Se calculó la puntuación de Fibrosis-4. El estudio se realizó entre marzo-mayo de 2020. La obesidad se correlacionó fuerte y positivamente con la enfermedad grave de COVID-19 r: 0,760 (P <0,001). La esteatosis hepática tuvo una correlación bastante menor con la gravedad de COVID-19 r: 0.365 (P <0.001). La asociación ajustada multivariable entre la esteatosis hepática u obesidad, o ambas (como exposición) y la gravedad de COVID-19 (como resul- tado) reveló un mayor riesgo de enfermedad grave por COVID- 19 con obesidad (OR del modelo ajustado I: 465,3, IC del 95%: 21,9 -9873,3, P <0,001), con esteatosis hepática (OR del modelo I ajustado: 5,1, IC del 95 %: 1,2-21,0, P <0,025) y con esteatosis hepática entre los pacientes obesos (OR del modelo I ajustado: 132, IC del 95 % : 10,3-1691,8, P <0,001). La obesidad siguió siendo el factor más notable que se correlacionó significativamente con la gravedad de COVID-19, más que la esteatosis hepática. Sin embargo, el riesgo de gravedad de COVID-19 fue mayor en aquellos con ambos factores: la obesidad y esteatosis hepática.

Effect of moderate-to-severe hepatic steatosis on neutralising antibody response among BNT162b2 and CoronaVac recipients.

BACKGROUND/AIMS: Studies of hepatic steatosis (HS) effect on COVID-19 vaccine immunogenicity are lacking. We aimed to compare immunogenicity of BNT162b2 and CoronaVac among moderate/severe HS and control subjects. METHODS: Two hundred ninety-five subjects who received BNT162b2 or CoronaVac vaccines from five vaccination centers were categorized into moderate/severe HS (controlled attenuation parameter ≥268 dB/m on transient elastography) (n=74) or control (n=221) groups. Primary outcomes were seroconversion rates of neutralising antibody by live virus Microneutralization (vMN) assay (titer ≥10) at day21 (BNT162b2) or day28 (CoronaVac) and day56 (both). Secondary outcome was highest-tier titer response (top 25% of vMN titer; cutoff: 160 [BNT162b2] and 20 [CoronaVac]) at day 56. RESULTS: For BNT162b2 (n=228, 77.3%), there was no statistical differences in seroconversion rates (day21: 71.7% vs. 76.6%; day56: 100% vs. 100%) or vMN geometric mean titer (GMT) (day21: 13.2 vs. 13.3; day56: 91.9 vs. 101.4) among moderate/severe HS and control groups respectively. However, lower proportion of moderate/severe HS patients had highest-tier response (day56: 5.0% vs. 15.5%; P=0.037). For CoronaVac (n=67, 22.7%), there was no statistical differences in seroconversion rates (day21: 7.1% vs. 15.1%; day56: 64.3% vs. 83.0%) or vMN GMT (5.3 vs. 5.8,) at day28. However, moderate/severe HS patients had lower vMN GMT (9.1 vs. 14.8, P=0.021) at day 56 with lower proportion having highest-tier response (21.4% vs. 52.8%, P=0.036). CONCLUSION: While there was no difference in seroconversion rate between moderate/severe HS and control groups after two doses of vaccine, a lower proportion of moderate/severe HS patients achieved highest-tier response for either BNT162b2 or CoronaVac.

Prepandemic prevalence estimates of fatty liver disease and fibrosis defined by liver elastography in the United States (preprint)

ABSTRACT Background & Aims Fatty liver disease is a growing public health burden with serious consequences. We estimated prepandemic prevalence of fatty liver disease determined by transient elastography assessed hepatic steatosis and fibrosis, and examined associations with lifestyle and other factors in a United States population sample. Methods Liver stiffness and controlled attenuation parameter (CAP) were assessed on 7,923 non-Hispanic white, non-Hispanic black, non-Hispanic Asian, and Hispanic men and women aged 20 years and over in the National Health and Nutrition Examination Survey (NHANES) 2017-March 2020 prepandemic data. Results The prevalence of fatty liver disease estimated by CAP >300 dB/m was 28.8% and of fibrosis (liver stiffness >8 kPa) was 10.4%. Only 7.2% of participants with fatty liver disease and 10.9% with fibrosis reported being told by a health care provider that they had liver disease. In addition to known risk factors such as metabolic factors and ALT, persons with fatty liver disease were less likely to meet physical activity guidelines, more likely to be sedentary for 12 or more hours a day, and reported a less healthy diet. Persons with fibrosis were less likely to have a college degree and reported a less healthy diet. Conclusion In the U.S. population, most persons with fatty liver disease are unaware of their condition. Although physical activity and dietary modifications might reduce the fatty liver disease burden, the COVID pandemic has been less favorable for lifestyle changes. There is an urgent need for fatty liver disease management in high-risk individuals using transient elastography or other noninvasive methods to intervene in disease progression.

Fatty liver on computed tomography scan on admission is a risk factor for severe coronavirus disease.

OBJECTIVES: To alleviate the overflow of coronavirus disease 2019 (COVID-19) patients in hospitals, less invasive and simple criteria are required to triage the patients. We evaluated the relationship between COVID-19 severity and fatty liver on plain computed tomography (CT) scan performed on admission. METHODS: In this retrospective cohort study, we considered all COVID-19 patients at a large tertiary care hospital between January 31 and August 31, 2020. COVID-19 severity was categorized into severe (moderate and severe) and non-severe (asymptomatic and mild) groups, based on the Japanese National COVID-19 guidelines. Fatty liver was detected on plain CT scan. Multivariate logistic regression analysis was performed to evaluate factors associated with severe COVID-19. RESULTS: Of 222 patients (median age: 52 years), 3.2%, 58.1%, 20.7%, and 18.0% presented with asymptomatic, mild, moderate, and severe COVID-19, respectively. Although 59.9% had no fatty liver on plain CT, mild, moderate, and severe fatty liver occurred in 13.1%, 18.9%, and 8.1%, respectively. Age and presence of fatty liver were significantly associated with severe COVID-19. CONCLUSION: Our study showed that fatty liver on plain CT scan on admission can become a risk factor for severe COVID-19. This finding may help clinicians to easily triage COVID-19 patients.

Fatty Liver and the Coronavirus Disease 2019 Pandemic: Health Behaviors, Social Factors, and Telemedicine Satisfaction in Vulnerable Populations.

The coronavirus disease 2019 (COVID-19) pandemic has impacted health-related behaviors that influence fatty liver disease (FLD) management. We evaluated the impact of the pandemic on FLD management and satisfaction with care delivery in this population. In the San Francisco safety-net hepatology clinics, we evaluated health-related behaviors and factors associated with self-reported weight gain during the COVID-19 pandemic as well as satisfaction with telemedicine in adults with FLD by using multivariable modeling. From June 1, 2020, to May 5, 2021, 111 participants were enrolled. Median age was 52 years, 30% were men, 63% were Hispanic, 21% were Asian/Pacific Islander, and 9% were White. Eating habits were unchanged or healthier for 80%, physical activity decreased in 51%, 34% reported weight gain, and 5% reported increased alcohol intake. Forty-five percent had severe depressive symptoms, 38% in those without diagnosed depression and 60% of individuals with heavy alcohol use. On multivariable analysis, decreased physical activity (odds ratio [OR], 4.8) and heavy alcohol use (OR, 3.4) were associated with weight gain (all P < 0.05). Among those with telemedicine visits (n = 66), 62% reported being very satisfied. Hispanic ethnicity was associated with a 0.8-unit decrease in the telemedicine satisfaction score (P = 0.048) when adjusting for sex, age, and pandemic duration. Conclusion: During the pandemic, decreased physical activity and heavy alcohol use were most influential on self-reported weight gain in FLD. Maintenance of healthy eating and increased physical activity, alcohol cessation counseling, and mental health services are critical in preventing poor FLD-associated outcomes during the pandemic recovery. Dissatisfaction with telemedicine should be explored further to ensure equitable care, especially among the vulnerable Hispanic population.